Skip to main content
Download PDF

Advances in nuclear medicine-based molecular imaging in head and neck squamous cell carcinoma

Journal of Translational Medicine volume 20, Article number: 358 (2022) Cite this article

Abstract

Head and neck squamous cell carcinomas (HNSCCs) are often aggressive, making advanced disease very difficult to treat using contemporary modalities, such as surgery, radiation therapy, and chemotherapy. However, targeted therapy, e.g., cetuximab, an epidermal growth factor receptor inhibitor, has demonstrated survival benefit in HNSCC patients with locoregional failure or distant metastasis. Molecular imaging aims at various biomarkers used in targeted therapy, and nuclear medicine-based molecular imaging is a real-time and non-invasive modality with the potential to identify tumor in an earlier and more treatable stage, before anatomic-based imaging reveals diseases. The objective of this comprehensive review is to summarize recent advances in nuclear medicine-based molecular imaging for HNSCC focusing on several commonly radiolabeled biomarkers. The preclinical and clinical applications of these candidate imaging strategies are divided into three categories: those targeting tumor cells, tumor microenvironment, and tumor angiogenesis. This review endeavors to expand the knowledge of molecular biology of HNSCC and help realizing diagnostic potential of molecular imaging in clinical nuclear medicine.

Introduction

Head and neck cancer and its treatment

Head and neck cancer (HNC) is the seventh most common cancer globally, accounting for 2–4% of all cancers worldwide. The incidence of HNC is about 890,000 new cases yearly [1]. HNC includes a variety of tumors arising from the mucosal surface of several major anatomical sites in the upper aerodigestive tract: the oral cavity, sinonasal cavity, pharynx (nasopharynx, oropharynx and hypopharynx), and larynx. Ninety percent of HNCs are squamous cell carcinoma (SCC) [2]. The main risk factors associated with head and neck squamous cell carcinoma (HNSCC) include, but are not limited to, heavy tobacco and alcohol consumption, human papillomavirus (HPV) infection or Epstein-Barr virus (EBV) infection [3]. Currently, the primary treatment modalities for HNSCC are surgery, radiotherapy and chemotherapy, with targeted therapy and immunotherapy as emerging oncotherapies. Despite the above treatments, the five-year survival rate of advanced HNSCC patients remains poor around 40–50% without significant improvement over the past several decades [4, 5]. In order to improve the prognosis of these patients, both early diagnosis and effective treatment are crucial. Therefore, there has been constant need for developing novel and enhancing existing diagnostic approach for HNSCC.

Targeted therapy for HNSCC

As a form of molecular medicine, targeted therapy is a cancer treatment that uses drugs to target specific genes or proteins that control cancer cells growth, division, and spread, without affecting normal cells. Biomarkers for targeted therapy can be applied to predict response to specific therapy, predict response regardless of therapy, or to monitor response once a therapy has initiated [6]. So far, there has been several clinically available medications targeting chosen biomarkers for HNSCC treatment with promising outcome. For example, cetuximab, an epidermal growth factor receptor (EGFR) inhibitor, is used to treat recurrent or metastatic HNSCC. However, the indication for this agent is relatively narrow, and the treatment response rate remains suboptimal [7, 8]. In this context, early prediction of treatment sensitivity or resistance to this targeted therapy may spare patients from futile treatment cycles and unnecessary side effects.

Molecular imaging for targeted therapy

Due to the marked heterogeneity of biomarker expression in primary and metastatic tumors, the current biopsy and immunohistochemistry (IHC) methods routinely used in clinical practice are not entirely accurate or comprehensive in assessing the true expression of biomarkers. The anatomic and volumetric imaging, such as computed tomography (CT) and magnetic resonance imaging (MRI), also has limitations. In contrast, molecular imaging uses molecular probes that specifically bind to targets, generating or amplifying detectable signals for direct visualization and quantification of biomarker expression in vivo. This dynamic and quantitative characterization allows early identification of patients who may benefit from targeted treatments, monitoring of treatment efficacy and assessing potential toxicity [9, 10]. Molecular imaging promotes targeted therapy by predicting therapeutic effect, evaluating early response, and determining therapeutic regimen.

Nuclear medicine-based molecular imaging and its potential for HNSCC patients

Among the available molecular imaging modalities, nuclear medicine-based ones are most sensitive in detecting biomarker expression. Nuclear medicine-based molecular imaging can detect and assess multiple lesions simultaneously, allowing for repetitive and non-invasive evaluation. The nuclear medicine imaging helps recognize the biological behavior of malignant tumors at the molecular level, aiming to clarify tumor-specific information, such as changes in blood flow, metabolism, receptor density and function, abnormal gene expression and cellular information transmission. For example, fluorine-18 fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) scan coupled with CT or MRI has been widely used in HNSCC diagnosis and tumor staging, especially for locoregional and/or distant metastasis [11]. In addition to 18F-FDG, extensive researches have been conducted to develop novel imaging agents for diagnostic, therapeutic and prognostic assessment.

In order to summarize recent advances in novel imaging agents used in HNSCC, we designed this review with twofold implications, bridging the gap between nuclear medicine and head and neck oncology. Firstly, we divided previously described biomarkers into three categories: those on the tumor cells, in the tumor microenvironment (TME), and during tumor angiogenesis. Secondly, we elucidated the candidate imaging agents targeting the above relevant biomarkers, highlighting their clinical and translational potential in HNSCC management (Fig. 1).

Fig. 1
figure 1

Schematic diagram showing the common subsites for head and neck squamous cell carcinoma, and various categories of target for nuclear medicine-based molecular imaging. (Created using BioRender.com)

Full size image

Molecular imaging targeting tumor cells in HNSCC

Recent focus on the molecular imaging for HNSCC has been centered around cell surface biomarkers. These include, but are not limited to EGFR, CD44 exon variant 6 (CD44v6), and somatostatin receptors (SSTRs) (Table 1). These targets are chosen because they tend to be overexpressed in malignant tumors but underexpressed or nonexpressed in normal tissues.

Table 1 Targets on the tumor cell and targeted imaging agents in HNSCC
Full size table

Imaging of EGFR

EGFR is a type I receptor tyrosine kinase. Along with its ligands, EGFR participates in regulating a variety of cellular processes, such as cell proliferation, survival, differentiation, and migration [12]. EGFR is overexpressed in more than 90% of invasive HNSCC cases [12]. EGFR overexpression is generally associated with radiation resistance [13], high recurrence rate and low survival rate [14]. Nowadays, the EGFR-based targeted therapy has been widely used for a subgroup of patients with HNSCC. As previously outlined in “Targeted therapy for HNSCC” section, cetuximab, the monoclonal antibody (mAb) inhibitor of EGFR, has been approved by the Food and Drug Administration (FDA) since 2004 as monotherapy or part of a combinatorial regimen. Cetuximab can be used in conjunction with chemotherapy or external radiation therapy for the treatment of HNSCC [15].

Monitor HNSCC treatment using EGFR-targeted molecular imaging

The anti-EGFR antibodies cetuximab and panitumumab have been labeled with various radionuclides and evaluated as nuclear medicine-based imaging agents in a dozen of preclinical and clinical studies for HNSCC. These studies highlighted the potential of EGFR-targeted tracers to non-invasively monitor EGFR inhibitor therapy and guide individualized treatment regimen.

Hoeben et al. labeled cetuximab with Indium-111 (In-111) for single photon emission computed tomography (SPECT) imaging [16]. The results showed that 111In-cetuximab SPECT displayed good tumor uptake in mice with human HNSCC FaDu xenografts. In the autoradiography of the tumor sections, the accumulation of 111In-cetuximab correlated closely with the immunohistochemical distribution of EGFR, indicating that imaging uptake can reflect actual EGFR expression of the tumor. Van Dijk et al. developed 111In-labeled F(ab')2 fragment of cetuximab for evaluation of HNSCC xenograft model [17]. This imaging agent showed rapid blood clearance, better tumor penetration when compared to whole IgG, and good tumor-background contrast as early as 24 h after injection. In practice, 111In-labeled cetuximab-F(ab')2 fragment imaging proved feasible to distinguish among HNSCC xenografts with differential EGFR expression, and monitor treatment response of radiotherapy and/or cetuximab treatment [17,18,19]. However, these studies were based on SPECT, which has relatively low spatial resolution and weak uptake quantification. In contrast, PET has higher spatial resolution and allows for more accurate quantitative analysis of images. Therefore, the same team further developed 64Cu-cetuximab-F(ab')2 to evaluate EGFR expression in HNSCC xenografts using PET/CT [20]. Their results revealed that this PET tracer could measure the heterogeneous expression of EGFR in tumors within a relatively short timeframe.

Similar to Copper-64 (Cu-64), Zirconium-89 (Zr-89) and Fluorine-18 (F-18) are also positron emission radiometals. The physical half-life of Zr-89 (T1/2 = 78.4 h) and F-18 (T1/2 = 1.83 h) matches the biological half-life of mAb or mAb fragments, respectively, making them ideal nuclides for immuno-PET imaging. Van Loon et al. conducted a phase I clinical trial in 3 patients with HNSCC and recommended 89Zr-cetuximab imaging dosing of 60 MBq and a minimum scan interval of 6 days [21]. In addition, Even et al. [22] and Benedetto et al. [23] extended the above study by monitoring anti-EGFR treatment response. The 89Zr-cetuximab imaging not only provided additional information about EGFR drug accessibility but also allows to detect drug resistance in HNSCC patients during cetuximab treatment. Likewise, the 18F-labeled probes developed by Li et al. [24] and Burley et al. [25] demonstrated affinity and specificity for EGFR expression in HNSCC xenograft tumors. Their results discovered that blocking liver uptake of targeting agents using unlabeled molecules increased the tumor-to-liver ratio, and further contributed to tumor detection [24].

On the contrary, Niu et al. reported that 64Cu-DOTA-panitumumab immuno-PET imaging failed to correctly quantify EGFR expression in three different HNSCC xenografts [26]. They found that UM-SCC-22B tumors with lowest EGFR expression displayed the highest accumulation of 64Cu-DOTA-panitumumab, whereas SQB20 tumors with highest EGFR expression displayed the lowest accumulation of 64Cu-DOTA-panitumumab. These contradictory results were probably due to the low blood vessel density, poor blood vessel permeability and binding site barrier in the selected implanted tumor model [26].

Theranostic targeting of EGFR

Another recent research trend on EGFR targeting is combining the diagnostic and therapeutic potential of nuclear medicine-based strategies (i.e., theranostics). Song et al. suggested that the combination of immune-PET imaging and raidoimmunotherapy (RIT) agent, 64Cu/177Lu-PCTA-cetuximab, could facilitate target selection and targeted therapy via RIT in cetuximab-resistant HNSCC xenograft tumors expressing EGFR [27]. Furthermore, Ku et al. demonstrated a feasible theranostic strategy using 64Cu/177Lu-DOTA-panitumumab-F(ab')2 to detect patient-derived HNSCC xenograft tumors, while predicting the radiation equivalent RIT doses to tumors and normal organs [28].

However, because EGFR is also expressed in non-tumor organs, such as the liver [29], the diagnosis of hepatic metastasis using EGFR-based molecular imaging remains unsatisfactory, even though the incidence of HNSCC metastasis to liver is relatively low compared to other types of cancer. This renders simultaneous RIT inoperable under certain circumstances. Therefore, the future application of radionuclide-based theranostic targeting of EGFR requires large-scale verification of its biological safety in non-target organs.

Imaging of CD44v6

CD44v6, a splice variant of the cell surface glycoprotein CD44, is associated with tumor cell invasion, metastasis and disease progression [30]. The frequent and homogeneous expression of CD44v6 is observed in over 90% of primary and metastatic HNSCC. Given CD44v6 is involved in HNSCC progression and treatment resistance, it has become a promising therapeutic target. In addition, unlike EGFR which expresses nonspecifically in the liver (“Theranostic targeting of EGFR” section), CD44v6 has negligible expression in these organs which are potential sites for distant metastasis [31]. In this context, the requirement for nuclear medicine-based molecular imaging that targets CD44v6 has also come to the fore.

Antibody-based targeting of CD44v6

The chimeric mAb U36 (cmAb U36) recognizes the CD44v6 antigen and has potential as a targeted therapeutic agent. In terms of diagnosing efficacy, the results of Börjesson’s clinical study suggested that immuno-PET using 89Zr-cmAb U36 was at least as sensitive as CT or MRI during the detection of lymph node metastases in HNSCC [32]. In order to explore the theranostic potential, radioimmunodetection and RIT were performed on HNSCC patients via Technetium-99m (99mTc) and Rhenium-186 (186Re)-labeled cmAb U36, respectively [33]. The results showed that 186Re-cMAb U36 RIT could be safely administered achieving partial remission of lesions. Meanwhile, Tc-99m labelling could predict the pharmacokinetics of 186Re-cMAb U36, which could help determine a safe RIT dose.

The high-affinity mAb is better suited for tumor targeting. BIWA 1 and BIWA 4 resemble U36, but their affinity for CD44v6 is several times that of U36 [34]. Stroomer et al. [35] and Colnot et al. [36] evaluated the tumor targeting and biosafety of 99mTc-labeled BIWA 1 or BIWA 4 for CD44v6 in HNSCC patients, respectively. Their results showed that both two antibodies achieved high specific uptake in the HNSCC tumor, but BIWA 1 was immunogenic and exhibited heterogeneous aggregation throughout the tumor, limiting its penetration into deeper cell layers. In addition, IRDye800CW and 111In-labeled BIWA dual-modality imaging accurately detected CD44v6 in the HNSCC xenograft tumors, demonstrating intraoperative advantage using the fluorescence imaging, and localizing advantage for primary, secondary and metastatic HNSCC lesions using the nuclear medicine imaging, respectively [37].

Recombinant antibody-based targeting of CD44v6

In molecular imaging, faster clearance and shorter circulation time of the imaging agent are beneficial in increasing the ratio of tumor uptake to non-target organ uptake [38]. When compared to antibody, Fab fragment of antibody has smaller relative molecular weight, higher tissue distribution specificity and lower immunogenicity, making it very valuable for molecular imaging. Advances in the antibody engineering technology provide a promising solution for the development of new immunoconjugates. Haylock et al. used the phage display technology to acquire a fully human Fab fragment AbD15179, which targets CD44v6 [39]. Their preclinical studies confirmed the feasibility of radiolabeled AbD15179 Fab fragment as a HNSCC-targeting visualization agent. After reformatting AbD15179 into a bivalent construct and radiolabeling it, the same authors demonstrated that the resultant 124I-AbD19384 has slower target dissociation, rendering it a more favorable tumor imaging agent than 18F-FDG during PET scan [40].

Imaging of somatostatin receptors

Somatostatin receptors (SSTRs) are G protein-coupled receptors and have five subtypes (SSTR1-5) [41]. SSTRs are extensively distributed in not only normal but also tumor tissues, and regulate cell proliferation, differentiation and angiogenesis in a variety of tumors. Among all of the subtypes, SSTR2 was found to be predominantly expressed in neuroendocrine tumors [42, 43]. SSTR2 has been widely recognized as an attractive target for imaging and treatment of patients with benign and malignant neuroendocrine tumors (NETs). Therefore, radiolabeled SSTR2 have been widely developed for theranostic application in NETs [44].

It is worth mentioning that several studies have shown that SSTRs are also expressed in HNSCC [45, 46], although the expression of SSTRs is not considered as an indicator of neuroendocrine differentiation in HNSCC [47]. During the early stage of relevant research, the somatostatin analogs, octreotide and pentetreotide, were labeled with In-111 for the diagnosis of HNCs [48, 49]. The former application helped detect nasopharyngeal carcinoma (NPC) from misdiagnosed skull base meningioma, while the latter diagnosed HNSCC with cervical metastasis. These results collectively supported the role of SSTRs as an imaging target for the diagnosis of HNC. Recently, Gallium-68 (68Ga)-radiolabeled SST-analogues have been developed for PET imaging in the radiological diagnosis of HNCs. These imaging agents include [68GaDOTA0-Tyr3] octreotate (68Ga-DOTATATE), [68Ga-DOTA0-Tyr3] octreotide (68Ga-DOTATOC), and [68GaDOTA0-1-NAI3] octreotide (68Ga-DOTANOC).

Among the few relevant studies, 68Ga-DOTATATE was mostly used for PET/CT imaging of SSTR and has been shown to have a high affinity for SSTR2. Notably, significant enrichment of SSTR2 in EBV-related NPC was demonstrated in recent years [50]. Similarly, Lechner et al. proved that SSTR2 was overexpressed in EBV-induced NPC [51]. In addition, their radiological findings of 12 NPC patients displayed a significant correlation between SSTR2 expression level and in vivo uptake of 68Ga-DOTATATE. Zhao et al. performed 68Ga-DOTATATE evaluation in 36 patients with non-keratinizing NPC and compared it with 18F-FDG imaging [52]. They discovered that intense SSTR2 expression correlated well with 68Ga-DOTATATE uptake. Those findings were consistent with prior case report on the EBV-associated NPC [53]. Thus, 68Ga-DOTATATE was proven as a valuable non-invasive imaging modality for monitoring SSTR2 expression in NPC patients.

Like 68Ga-DOTATATE, 68Ga-DOTATOC is also a PET/CT imaging probe targeting SSTR2. Schartinger et al. conducted two prospective clinical trials of 68Ga-DOTATOC in 15 patients with previously untreated HNSCC and 5 patients with previously untreated EBV-positive NPC, respectively [54, 55]. All tumors showed specific tracer uptake. The main difference between these two studies lies in the differential uptake of 68Ga-DOTATOC in two types of tumors. It was found that the tracer uptake in HNSCC tumors was mostly classified as weak and moderate, with a median maximum standardized uptake value (SUVmax) of 4.0, whereas that in NETs imaging is traditionally higher [54]. Conversely, 68Ga-DOTATOC PET/CT demonstrated tracer uptake in EBV-positive NPC comparable to that in highly differentiated NETs. The median SUVmax of cervical lymph node metastasis and primary tumors were 13.2 and 10.6, respectively [55].

Comparing to 68Ga-DOTATATE and 68Ga-DOTATOC, 68Ga-DOTANOC targets a wider range of SSTR subtypes, including SSTR2, SSTR3, and SSTR5 [56]. Researchers have found that this new radiopeptide is better at detecting metastasis than SSTR2-specific tracers [57]. Previous case report illustrated that 68Ga-DOTANOC had advantages in assessing intracranial involvement of EBV-positive undifferentiated NPC and differentiating metastatic lymph nodes from reactive ones, compared to 18F-FDG [58]. Based on the above findings, Khor et al. then prospectively recruited 4 patients with nonkeratinizing undifferentiated NPC for further study. These patients received 68Ga-DOTANOC PET/CT within 10 days after undergoing routine staging/restaging 18F-FDG PET/CT imaging. The results suggested that 68Ga-DOTANOC could be used as a molecular biomarker for diagnosing undifferentiated NPCs, particularly for untreated primary tumors, but less so for recurrent NPCs and metastatic nodes [59].

In summary, NPC showed stronger expression of SSTR2 comparing to HNSCC in other subsites. In addition, majority of the above diagnostic studies observed increased 68Ga-DOTA-peptide uptake in most primary and metastatic NPC lesions. Thus, peptide receptor radionuclide therapy (PRRT) using therapeutic nuclide-labeled DOTA-peptide might be an attractive treatment for advanced NPC. Recently, Zhu et al. presented a case on a patient with non-keratinizing undifferentiated NPC with metastasis in the lymph nodes, liver and bone [60]. 177Lu-DOTATOC and 90Y-DOTATOC PRRT were applied in the patient periodically, showing good therapeutic response. In order to verify the therapeutic efficacy of PRRT using nuclide-labeled DOTA-peptide for advanced NPC and other HNSCC, more dedicated clinical trials are warranted.

Molecular imaging targeting tumor microenvironment in HNSCC

A major challenge for targeted anticancer therapies is treatment resistance, partially because some of them focus on attacking tumor cells rather than the tumor microenvironment (TME) where they reside in [61]. The TME is the ecosystem that surrounds a tumor, and plays crucial roles in cancer development, growth, progression, and therapy resistance [62]. Therefore, targeting TME is an attractive strategy for the treatment of solid tumors, such as HNSCC.

The cellular component of TME include, but are not limited to, immune cells (e.g., T cells, B cells, neutrophils, macrophages, natural killer NK cells, and mast cells) and cancer-associated fibroblasts (CAFs) [63,64,65]. Recently, using the cellular component of TME as the target of anticancer therapy has become a research hotspot [66]. Nuclear medicine-based, targeted molecular imaging allows for more sensitive visualization of dynamic changes in the TME that may facilitate cancer screening, diagnosis, and surveillance (Table 2).

Table 2 Targets in the tumor microenvironment and targeted imaging agents in HNSCC
Full size table

Imaging of CAFs

As the major cellular component of TME, CAFs play a key role in promoting tumor growth, angiogenesis, invasion, and metastasis [67]. The fibroblast activation protein (FAP) is a cell surface serine protease which has emerged as a specific marker of CAFs [68]. FAP is highly expressed in CAFs in more than 90% of epithelial tumors including HNSCC, and almost undetectable in non-diseased adult tissue [68]. Furthermore, high expression levels of FAP is associated with increased local tumor invasion, lymph node metastasis, and decreased overall survival rates in many malignancies, whereas FAP inhibition can attenuate tumor growth [69]. Therefore, FAP is considered a promising target for various diagnostic and therapeutic approaches for HNCs.

Recently, a variety of new radiopharmaceuticals based on FAP-specific small molecules have been developed, providing the basis for novel radionuclide-based targeted imaging and treatment [70, 71]. It is worth mentioning that the radiolabeled FAP-targeting inhibitors (FAPIs), 68Ga-FAPI, has been developed as a tracer for PET/CT imaging and has already demonstrated promising diagnostic efficacy in a variety of solid tumors, such as sarcoma, cholangiocarcinoma, esophageal, breast, lung, and head and neck cancer [71, 72].

Assessment of primary tumor of HNSCC using 68Ga-FAPI imaging

The first group of clinical studies provided head-to-head comparison between 68Ga-FAPI and the current clinical benchmark for HNC, 18F-FDG. Firstly, in contrast to 18F-FDG, no diet or fasting was required before 68Ga-FAPI PET/CT imaging, and image acquisition could be started just after tracer application [73]. In addition, 68Ga-FAPI not only displayed a superior contrast and higher tumor uptake, but also minimized the uptake in healthy oral and laryngeal mucosa and brain, which could facilitate assessment of primary HNC and brain metastasis. Secondly, a study of palatine and lingual tonsil carcinoma showed that the mean of maximum tumor-to-background ratio (TBRmax) of 68Ga-FAPI was much higher than that of FDG. This improved the differentiation between primary tumor and surrounding or contralateral normal tonsillar tissue [74]. In a subsequent study on the diagnostic efficacy of 68Ga-FAPI in various tumors, 68Ga-FAPI and 18F-FDG showed comparable and high standardized uptake values (SUV) normalized by lean body mass (SUL) in the primary site of oral SCC (OSCC) [75]. The above results all have confirmed that 68Ga-FAPI is a promising alternative tracer to overcome the limitations of FDG for PET/CT imaging.

The second group of clinical trials emphasized the potential of FAPI molecular imaging in complex tumor staging and treatment planning for HNCs [76,77,78,79]. On other hand, Chen et al. found that the superiority of 68Ga-FAPI in assessing skull base invasion and cavernous sinus involvement in patients with NPC was benefited from its low uptake in the brain [76]. For patients with HNC of unknown primary (HNCUP) based on negative 18F-FDG PET/CT, 68Ga-FAPI imaging could increase the detection rate, locate the primary site, and help patients avoid unnecessary surgical and radiation treatment [77]. On the other hand, Syed et al. found high FAPI avidity within tumor lesions of the head and neck, and low background uptake in healthy tissue. This finding was applied for contouring in radiotherapy of HNCs using automatic generation of biological target volume according to the FAPI-SUV ratio of tumor to healthy tissues [78]. Another recent study reported similar results on NPC patients [79]. 68Ga-FAPI PET/CT demonstrated excellent tumor delineation and tracer uptake in most primary and metastatic lesions, which might be used as a complementary method to MRI tumor staging as well as radiotherapy planning.

Assessment of locoregional and distant metastasis of HNSCC using 68Ga-FAPI imaging

The cervical nodal or distant metastases are a major cause of death for patients with advanced stage HNCs. However, commonly used tracers, such as the glucose analogue FDG, often have limitations in discriminating metastatic lymph nodes from reactive ones and distant metastases from high metabolic tissues for these HNSCC patients.

Firstly, Linz et al. and Chen et al. found that for OSCC patients with cervical lymph node metastasis, 68Ga-FAPI PET/CT showed higher specificity to 18F-FDG imaging [80, 81]. This could potentially prevent overtreatment caused by false-positive nodes-indicated neck dissections. Secondly, Chen et al. performed contemporaneous 68Ga-FAPI-04 PET/CT and 18F-FDG PET/CT for the initial evaluation or recurrence detection in patients with various malignant tumors, including NPC [82]. The results confirmed higher detection rate of metastatic lesions, such as nodal, bony and visceral ones, using 68Ga-FAPI-04 PET/CT. Lastly, 68Ga-FAPI can also be coupled with PET/MR to achieve similar results to PET/CT based imaging. This is particularly valuable for NPC patients with suspected distant metastasis as 68Ga-FAPI PET/MR could serve as a single-step staging modality [83].

In view of the involvement of CAFs in several tumor-supporting processes, the above studies have demonstrated CAFs-targeting molecular imaging mostly using diagnostic 68Ga-FAPI. In order to explore the diagnostic potential of FAPI radioligand, larger scale of clinical studies is warranted.

Imaging of programmed cell death protein 1 and its ligand

Tumor-induced immunosuppression is an extensively studied mechanism for tumor immune escape. One of the major methods of how tumor-induced immunosuppression operates is induction of expression of immunosuppressive molecules or their receptors including, but are not limited to, programmed cell death protein 1 (PD-1) and programmed cell death ligand 1 (PD-L1). During the dynamic interaction between tumor cells and TME of HNC, PD-L1 on cancer cells converses with PD-1 on immune cells, leading to tumor immune escape [84]. As a matter of fact, FDA has already authorized two immune checkpoint inhibitors, the anti-PD-1 mAbs nivolumab and pembrolizumab, as second-line treatment for patients with recurrent and/or metastatic HNSCC refractory to platinum-based therapy [85,86,87].

However, the therapeutic effectiveness of PD-1/PD-L1 remains unsatisfactory. One possible solution is to analyze the expression of PD-1/PD-L1 before treatment is initiated, since it could be predictive of efficacy of PD-1/PD-L1 targeted therapy in several tumor types, including HNSCC [88,89,90]. Nevertheless, accurate measurement of PD-1/PD-L1 level could be challenging, as the biopsy specimen might not account for the molecular heterogeneity between different tumor regions [91]. As an alternative, molecular imaging of PD-1/PD-L1 expression can assist in analyzing tumor lesions and metastasis in real-time, providing repeatable, non-invasive and systematic monitoring of PD-1/PD-L1 expression. Currently, molecular radiological evaluation of PD-1/PD-L1 expression could be achieved using radiolabeled tracers consisting of antibodies, antibody fragments, targeted peptides, and small molecule inhibitors [92,93,94,95,96,97]. Interestingly, a high-impact clinical study using PD-L1-targeted 89Zr-atezolizumab imaging confirmed that clinical responses in patients with lung, breast and bladder cancer were better correlated with pretreatment PET signal than with IHC or RNA-sequencing based predictive biomarkers [95].

Recently, two PET agents, 89Zr-DFO-durvalumab and 18F-BMS-986192, have been applied in clinical trials to assess PD-L1 expression in HNSCC patients (ClinicalTrials.gov identifiers NCT 03829007 and NCT 03843515). The latest report revealed the radiological findings of 89Zr-DFO-durvalumab PET/CT in 33 patients with recurrent or metastatic HNSCC before durvalumab (anti-PD-L1 antibody) treatment [98]. PET/CT imaging in HNSCC using 89Zr-DFO-durvalumab was feasible and safe. However, 89Zr-DFO-durvalumab-uptake did not correlate to durvalumab treatment response. The potential of 89Zr-DFO-durvalumab as a biomarker in durvalumab-treated HNSCC patients required further investigation. In addition, the study of 18F-BMS-986192 for the prediction of treatment response to nivolumab for locally advanced resectable oral cancer is still on-going.

An emerging research trend on PD-1/PD-L1 immunotherapy is to combine it with traditional treatment modalities for synergistic potential. It has been widely demonstrated that radiotherapy can alter the immune landscape by inducing PD-L1 upregulation, rendering immunogenic tumors sensitive to PD-L1 inhibition [99, 100]. Kikuchi et al. used 89Zr-labeled anti-mouse PD-L1 mAb to detect PD-L1 expression after radiotherapy via PET/CT imaging in two homologous mouse HNC models, HPV-positive HNSCC or B16F10 melanoma [101]. The results confirmed radiotherapy-induced PD-L1 upregulation in the tumor and TME. Additionally, 89Zr-labeled anti-mouse PD-L1 mAb demonstrated its feasibility in noninvasively quantifying PD-L1 expression via immuno-PET imaging, which aided in directing treatment in patients.

Molecular imaging targeting tumor angiogenesis in HNSCC

Angiogenesis is a crucial aspect of the growth, invasion and metastasis of solid tumors, including HNSCC. A timely assessment of the angiogenic response to various anticancer modalities would provide an early indication of treatment efficacy and prognosis. As a result, angiogenesis imaging is an important tool for guiding treatment decisions. In molecular imaging of HNSCC, integrins and prostate-specific membrane antigen (PSMA) are both potential angiogenesis-related targets (Table 3).

Table 3 Targets in the tumor angiogenesis and targeted imaging agents in HNSCC
Full size table

Imaging of integrins

Integrins are bidirectional transmembrane receptors that facilitate cell–cell and cell-extracellular matrix adhesion. They are heterodimers composed of non-covalently bound 18 α subunits and 8 β subunits, and a protein family including 24 different members [102]. Deregulation of integrin expression and function is a dominant factor in almost every step of cancer progression including tumor neoangiogenesis. Integrins are valid and promising target for molecular imaging because of their elevated expression and surface accessibility on cancer cells [103].

Monitoring HNSCC angiogenesis using integrin-targeted imaging

HNCs are highly vascular tumors and express a wide range of integrin receptors, especially αvβ3. Overexpression of the arginine-glycine-aspartic (RGD)-binding integrin αvβ3 is discovered in the angiogenic vasculature of HNSCC and the activated endothelial cells [104, 105]. This supports αvβ3 as a promising target for anti-angiogenic strategy and early tumor diagnosis [106]. As a molecular probe for nuclear medicine imaging targeting the integrin αvβ3, radiolabeled RGD peptides have been widely used in nuclear medicine imaging in preclinical and clinical trials of HNSCC.

Firstly, Beer et al. performed 18F-Galacto-RGD PET imaging on 11 patients with HNSCC. The results preliminarily confirmed the possibility of this novel modality to assess angiogenesis, and implied that 18F-Galacto-RGD PET fused with MRI or multislice CT could define tumor subvolumes with intense tracer uptake [107]. Secondly, Lobeek et al. validated the feasibility of 68Ga-RGD PET/CT as a molecular imaging technique for αvβ3 integrin expression during OSCC angiogenesis with adequate tumor-to-background ratio [108]. Finally, a comparative evaluation of 68Ga-NODAGA-RGD and 18F-FDG PET/CT in HNSCC patients found that these two tracers have different uptake patterns [109]. In addition, the angiogenesis-indicating uptake of 68Ga-NODAGA-RGD was not related to HNC tumor grade, p16 or HPV status.

Monitoring HNSCC treatment response using integrin-targeted imaging

Stand-alone anti-angiogenic therapy or combination with other anticancer strategies for HNCs might arrest tumor progression [110]. Several studies have used radiolabeled RGD peptide to monitor the effect of treatment, such as anti-angiogenesis drug therapy and radiotherapy. Terry et al. (111In-RGD2) [111] and Rylova et al. (68Ga-NODAGA-c(RGDfk)) [112] individually verified the efficacy of radiolabeled RGD peptide during dynamic monitoring of neovascularization before and after treatment. Notably, both studies demonstrated that effective anti-angiogenic response after treatment did not necessarily decrease the tumor uptake of radiolabeled RGD peptides. A possible theory behind this finding is that vascular normalization and tumor necrosis can modulate uptake of RGD peptides during treatment. Thus, its tumor uptake might not reflect changes of αvβ3 by intratumoral blood vessels during the early stage of treatment. Unlike the above two studies where response to anti-angiogenic drug therapy was monitored, Chen et al. developed a new PET tracer, 18F-RGD-K5, for identifying HNSCC patients with incomplete response to concurrent chemoradiotherapy [113]. The results of this pilot study showed that the uptake of 18F-RGD-K5 by HNC could distinguish successfully treated patients from those with residual disease.

As mentioned above, several αvβ3-targeted tracers have been studied in clinical trials for many years, but their clinical value has not yet been definitively clarified. In recent years, probes developed based on other integrin subtypes, such as αvβ6, have also been used to evaluate HNSCC with satisfactory results [114, 115]. In summary, with the advancement of tracer synthesis technology and the increase of subtype-specific integrin ligands, integrins-targeted molecular imaging will have more anti-angiogenic potential in HNSCC diagnosis.

Imaging of PSMA

PSMA is highly expressed in prostate epithelium and upregulated in prostate cancer [116]. A variety of PSMA ligands for PET and SPECT imaging have been adopted for clinical diagnosis of prostate cancer in recent years [117]. Aside from its overexpression on the epithelial cells of prostate carcinomas, IHC studies have shown that PSMA is also upregulated on the neo-vascular endothelial cells of many other solid tumors, such as pancreatic, renal, and cutaneous cancers [118]. In addition, another report has confirmed positive PSMA staining in 75% of OSCC cases, and high PSMA expression remained an independent marker for poor prognosis [119].

Pandit-Taskar et al. developed 111In-labled J591, a mAb targeting PSMA, and successfully applied it for vascular targeted imaging in progressive non-prostate solid tumors [120]. Moreover, in patients with HNSCC, the detection rate of metastatic lesions was 100%. However, the prolonged imaging time due to the longer circulation time of antibodies in vivo and the poor resolution of single-photon emission radioisotope imaging might limit its translation into clinic practice.

More recently, two independent groups have both used 68Ga-PSMA PET/CT as a more advanced nuclear medicine-based molecular imaging for HNC applications. It combined the advantages of small-molecule probes targeting PSMA and higher resolution PET imaging technique. Lawhn-Heath et al. for the first time reported a case of an incidentally detected oropharyngeal SCC using 68Ga-PSMA-11 PET/CT [121]. In the same year, Osman et al. published a retrospective study analyzing the incidence of synchronous primary malignancies in 764 patients with prostate cancer using 68Ga-PSMA PET/CT imaging [122]. These synchronous tumors included base of tongue SCC.

PSMA-targeted imaging for identifying tumor lesion has so far been evaluated in small patient cohorts and only a few types of cancers other than prostate cancer. The current clinical application of PSMA-targeted imaging in HNSCC is constrained by inadequate evidence and the physiological uptake of PSMA in the glands of head and neck (e.g., salivary and lacrimal glands). We anticipate PSMA-targeted imaging might have a potential as a new strategy for identifying the primary tumor in patients with HNSCC. However, this anticipation will only be realized with further prospective studies.

Conclusions and future perspectives

Head and neck squamous cell carcinomas are a group of common, multifactorial, and aggressive cancers. Although early stage HNSCC can be managed with curative intention using single modality of treatment, recurrent or metastatic HNSCC, is frequently associated with reduced quality of patient’s life and increased mortality despite multimodal therapy. Fortunately, molecular targeted therapy has become a promising treatment option for this subset of HNC patients. The FDA-approved examples include monoclonal antibodies targeting EGFR, PD-1, and VEGF. Nuclear medicine-based molecular imaging not only provides dynamic and quantitative visualization of specific biochemical activities at the cellular and molecular levels in vivo, but also plays an important role in patient stratification and treatment monitoring for targeted therapy or immunotherapy. This personalized imaging modality can target all major aspects of HNSCC progression, such as tumor cells, TME, and tumor angiogenesis. In this setting, radiolabeled-mAb, Fab fragment, or peptide targeting EGFR, CD44v6, SSTRs, CAFs, PD-1/PD-L1, integrins, and PSMA have been coupled with SPECT or PET and studied in dozens of preclinical and clinical trials. Thus, the theranostic potential of nuclear medicine-based molecular probes for HNSCC has been verified at tumor diagnosis, such as early detection of tumor and accurate tumor staging, as well as tumor treatment, such as timely treatment planning and reliable treatment surveillance.

From a future perspective, several novel targets and biomarkers in HNSCC could be trialed for nuclear medicine-based molecular imaging. In terms of targeting tumor cells, hepatocyte growth factor (HGF) and its receptor c-Met, insulin-like growth factor 1 receptor (IGF-1R), and the phosphatidylinositol-3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of Rapamycin (mTOR) pathway are all potential molecular targets. In terms of targeting TME, tumor infiltrating lymphocytes (TILs) and tumor-associated macrophages (TAM) could both serve as potential biomarkers. On the other hand, cost-effectiveness of nuclear medicine-based molecular imaging needs to closely monitored and further assessed using dedicated clinical trials.

Despite some practical limitations and relatively low number of studies, we strongly believe that nuclear medicine-based molecular imaging will gradually evolve into a single-step, non-invasive, and versatile diagnostic and therapeutic modality for better management of head and neck cancer.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

Reference s

  1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424.

    Article  PubMed  Google Scholar 

  2. Xu H, Stabile LP, Gubish CT, Gooding WE, Grandis JR, Siegfried JM. Dual blockade of EGFR and c-Met abrogates redundant signaling and proliferation in head and neck carcinoma cells. Clin Cancer Res. 2011;17:4425–38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Johnson DE, Burtness B, Leemans CR, Lui VWY, Bauman JE, Grandis JR. Head and neck squamous cell carcinoma. Nat Rev Dis Primers. 2020;6:92.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Adkins D, Ley J, Neupane P, Worden F, Sacco AG, Palka K, et al. Palbociclib and cetuximab in platinum-resistant and in cetuximab-resistant human papillomavirus-unrelated head and neck cancer: a multicentre, multigroup, phase 2 trial. Lancet Oncol. 2019;20:1295–305.

    Article  CAS  PubMed  Google Scholar 

  5. Leblanc O, Vacher S, Lecerf C, Jeannot E, Klijanienko J, Berger F, et al. Biomarkers of cetuximab resistance in patients with head and neck squamous cell carcinoma. Cancer Biol Med. 2020;17:208–17.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Morse DL, Gillies RJ. Molecular imaging and targeted therapies. Biochem Pharmacol. 2010;80:731–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Langer CJ. Targeted therapy in head and neck cancer: state of the art 2007 and review of clinical applications. Cancer. 2008;112:2635–45.

    Article  CAS  PubMed  Google Scholar 

  8. Vermorken JB, Trigo J, Hitt R, Koralewski P, Diaz-Rubio E, Rolland F, et al. Open-label, uncontrolled, multicenter phase II study to evaluate the efficacy and toxicity of cetuximab as a single agent in patients with recurrent and/or metastatic squamous cell carcinoma of the head and neck who failed to respond to platinum-based therapy. J Clin Oncol. 2007;25:2171–7.

    Article  CAS  PubMed  Google Scholar 

  9. Ehlerding EB, England CG, McNeel DG, Cai W. Molecular imaging of immunotherapy targets in cancer. J Nucl Med Offl Publ Soc Nucl Med. 2016;57:1487–92.

    CAS  Google Scholar 

  10. Weissleder R, Pittet MJ. Imaging in the era of molecular oncology. Nature. 2008;452:580–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Castaldi P, Leccisotti L, Bussu F, Miccichè F, Rufini V. Role of (18)F-FDG PET-CT in head and neck squamous cell carcinoma. Acta Otorhinolaryngol Ital. 2013;33:1–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Kalyankrishna S, Grandis JR. Epidermal growth factor receptor biology in head and neck cancer. J Clin Oncol. 2006;24:2666–72.

    Article  CAS  PubMed  Google Scholar 

  13. Gupta AK, McKenna WG, Weber CN, Feldman MD, Goldsmith JD, Mick R, et al. Local recurrence in head and neck cancer: relationship to radiation resistance and signal transduction. Clin Cancer Res. 2002;8:885–92.

    PubMed  Google Scholar 

  14. Rubin Grandis J, Melhem MF, Gooding WE, Day R, Holst VA, Wagener MM, et al. Levels of TGF-alpha and EGFR protein in head and neck squamous cell carcinoma and patient survival. J Natl Cancer Inst. 1998;90:824–32.

    Article  CAS  PubMed  Google Scholar 

  15. Chow LQM. Head and neck cancer. N Engl J Med. 2020;382:60–72.

    Article  CAS  PubMed  Google Scholar 

  16. Hoeben BAW, Molkenboer-Kuenen JDM, Oyen WJG, Peeters WJM, Kaanders JHAM, Bussink J, et al. Radiolabeled cetuximab: dose optimization for epidermal growth factor receptor imaging in a head-and-neck squamous cell carcinoma model. Int J Cancer. 2011;129:870–8.

    Article  CAS  PubMed  Google Scholar 

  17. van Dijk LK, Hoeben BAW, Stegeman H, Kaanders JHAM, Franssen GM, Boerman OC, et al. 111In-cetuximab-F(ab’)2 SPECT imaging for quantification of accessible epidermal growth factor receptors (EGFR) in HNSCC xenografts. Radiother Oncol J Eur Soc Ther Radiol Oncol. 2013;108:484–8.

    Article  CAS  Google Scholar 

  18. van Dijk LK, Boerman OC, Franssen GM, Lok J, Kaanders JHAM, Bussink J. Early response monitoring with 18F-FDG PET and cetuximab-F(ab’)2-SPECT after radiotherapy of human head and neck squamous cell carcinomas in a mouse model. J Nucl Med Offl Publ Soc Nucl Med. 2014;55:1665–70.

    Google Scholar 

  19. van Dijk LK, Hoeben BAW, Kaanders JHAM, Franssen GM, Boerman OC, Bussink J. Imaging of epidermal growth factor receptor expression in head and neck cancer with SPECT/CT and 111In-labeled cetuximab-F(ab’)2. J Nucl Med Offl Publ Soc Nucl Med. 2013;54:2118–24.

    Google Scholar 

  20. van Dijk LK, Yim C-B, Franssen GM, Kaanders JHAM, Rajander J, Solin O, et al. PET of EGFR with (64) Cu-cetuximab-F(ab’)2 in mice with head and neck squamous cell carcinoma xenografts. Contrast Media Mol Imaging. 2016;11:65–70.

    Article  PubMed  CAS  Google Scholar 

  21. van Loon J, Even AJG, Aerts HJWL, Öllers M, Hoebers F, van Elmpt W, et al. PET imaging of zirconium-89 labelled cetuximab: a phase I trial in patients with head and neck and lung cancer. Radiother Oncol J Eur Soc Ther Radiol Oncol. 2017;122:267–73.

    Article  CAS  Google Scholar 

  22. Even AJG, Hamming-Vrieze O, van Elmpt W, Winnepenninckx VJL, Heukelom J, Tesselaar MET, et al. Quantitative assessment of Zirconium-89 labeled cetuximab using PET/CT imaging in patients with advanced head and neck cancer: a theragnostic approach. Oncotarget. 2017;8:3870–80.

    Article  PubMed  Google Scholar 

  23. Benedetto R, Massicano AVF, Crenshaw BK, Oliveira R, Reis RM, Araújo EB, et al. 89Zr-DFO-cetuximab as a molecular imaging agent to identify cetuximab resistance in head and neck squamous cell carcinoma. Cancer Biother Radiopharm. 2019;34:288–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Li W, Niu G, Lang L, Guo N, Ma Y, Kiesewetter DO, et al. PET imaging of EGF receptors using [18F]FBEM-EGF in a head and neck squamous cell carcinoma model. Eur J Nucl Med Mol Imaging. 2012;39:300–8.

    Article  PubMed  CAS  Google Scholar 

  25. Burley TA, Da Pieve C, Martins CD, Ciobota DM, Allott L, Oyen WJG, et al. Affibody-based PET imaging to guide EGFR-targeted cancer therapy in head and neck squamous cell cancer models. J Nucl Med Offl Publ Soc Nucl Med. 2019;60:353–61.

    CAS  Google Scholar 

  26. Niu G, Li Z, Xie J, Le Q-T, Chen X. PET of EGFR antibody distribution in head and neck squamous cell carcinoma models. J Nucl Med Offl Publ Soc Nucl Med. 2009;50:1116–23.

    CAS  Google Scholar 

  27. Song IH, Noh Y, Kwon J, Jung JH, Lee BC, Kim KI, et al. Immuno-PET imaging based radioimmunotherapy in head and neck squamous cell carcinoma model. Oncotarget. 2017;8:92090–105.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Ku A, Kondo M, Cai Z, Meens J, Li MR, Ailles L, et al. Dose predictions for [177Lu]Lu-DOTA-panitumumab F(ab’)2 in NRG mice with HNSCC patient-derived tumour xenografts based on [64Cu]Cu-DOTA-panitumumab F(ab’)2 - implications for a PET theranostic strategy. EJNMMI Radiopharm Chem. 2021;6:25.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Dhar D, Antonucci L, Nakagawa H, Kim JY, Glitzner E, Caruso S, et al. Liver cancer initiation requires p53 inhibition by CD44-enhanced growth factor signaling. Cancer Cell. 2018;33:1061-77.e6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Orian-Rousseau V. CD44, a therapeutic target for metastasising tumours. Eur J Cancer (Oxford, England: 1990). 2010;46:1271–7.

    Article  CAS  Google Scholar 

  31. Spiegelberg D, Nilvebrant J. CD44v6-targeted imaging of head and neck squamous cell carcinoma: antibody-based approaches. Contrast Media Mol Imaging. 2017;2017:2709547.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  32. Börjesson PKE, Jauw YWS, Boellaard R, de Bree R, Comans EFI, Roos JC, et al. Performance of immuno-positron emission tomography with zirconium-89-labeled chimeric monoclonal antibody U36 in the detection of lymph node metastases in head and neck cancer patients. Clin Cancer Res Offl J Am Assoc Cancer Res. 2006;12:2133–40.

    Article  Google Scholar 

  33. Colnot DR, Quak JJ, Roos JC, van Lingen A, Wilhelm AJ, van Kamp GJ, et al. Phase I therapy study of 186Re-labeled chimeric monoclonal antibody U36 in patients with squamous cell carcinoma of the head and neck. J Nucl Med Offl Publ Soc Nucl Med. 2000;41:1999–2010.

    CAS  Google Scholar 

  34. Verel I, Heider KH, Siegmund M, Ostermann E, Patzelt E, Sproll M, et al. Tumor targeting properties of monoclonal antibodies with different affinity for target antigen CD44V6 in nude mice bearing head-and-neck cancer xenografts. Int J Cancer. 2002;99:396–402.

    Article  CAS  PubMed  Google Scholar 

  35. Stroomer JW, Roos JC, Sproll M, Quak JJ, Heider KH, Wilhelm BJ, et al. Safety and biodistribution of 99mTechnetium-labeled anti-CD44v6 monoclonal antibody BIWA 1 in head and neck cancer patients. Clin Cancer Res Offl J Am Assoc Cancer Res. 2000;6:3046–55.

    CAS  Google Scholar 

  36. Colnot DR, Roos JC, de Bree R, Wilhelm AJ, Kummer JA, Hanft G, et al. Safety, biodistribution, pharmacokinetics, and immunogenicity of 99m Tc-labeled humanized monoclonal antibody BIWA 4 (bivatuzumab) in patients with squamous cell carcinoma of the head and neck. Cancer Immunol Immunother. 2003;52:576–82.

    Article  CAS  PubMed  Google Scholar 

  37. Odenthal J, Rijpkema M, Bos D, Wagena E, Croes H, Grenman R, et al. Targeting CD44v6 for fluorescence-guided surgery in head and neck squamous cell carcinoma. Sci Rep. 2018;8:10467.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. Wei W, Rosenkrans ZT, Liu J, Huang G, Luo Q-Y, Cai W. ImmunoPET: concept, design, and applications. Chem Rev. 2020;120:3787–851.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Haylock A-K, Spiegelberg D, Nilvebrant J, Sandström K, Nestor M. In vivo characterization of the novel CD44v6-targeting Fab fragment AbD15179 for molecular imaging of squamous cell carcinoma: a dual-isotope study. EJNMMI Res. 2014;4:11.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. Haylock A-K, Spiegelberg D, Mortensen AC, Selvaraju RK, Nilvebrant J, Eriksson O, et al. Evaluation of a novel type of imaging probe based on a recombinant bivalent mini-antibody construct for detection of CD44v6-expressing squamous cell carcinoma. Int J Oncol. 2016;48:461–70.

    Article  CAS  PubMed  Google Scholar 

  41. Theodoropoulou M, Stalla GK. Somatostatin receptors: from signaling to clinical practice. Front Neuroendocrinol. 2013;34:228–52.

    Article  CAS  PubMed  Google Scholar 

  42. Hu Y, Ye Z, Wang F, Qin Y, Xu X, Yu X, et al. Role of somatostatin receptor in pancreatic neuroendocrine tumor development, diagnosis, and therapy. Front Endocrinol. 2021;12:679000.

    Article  Google Scholar 

  43. Reubi JC. Peptide receptors as molecular targets for cancer diagnosis and therapy. Endocr Rev. 2003;24:389–427.

    Article  CAS  PubMed  Google Scholar 

  44. Werner RA, Weich A, Kircher M, Solnes LB, Javadi MS, Higuchi T, et al. The theranostic promise for Neuroendocrine Tumors in the late 2010s - Where do we stand, where do we go? Theranostics. 2018;8:6088–100.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Stafford ND, Condon LT, Rogers MJC, MacDonald AW, Atkin SL. The expression of somatostatin receptors 1 and 2 in benign, pre-malignant and malignant laryngeal lesions. Clin Otolaryngol Allied Sci. 2003;28:314–9.

    Article  CAS  PubMed  Google Scholar 

  46. Loh KS, Waser B, Tan LKS, Ruan RS, Stauffer E, Reubi JC. Somatostatin receptors in nasopharyngeal carcinoma. Virchows Arch. 2002;441:444–8.

    Article  CAS  PubMed  Google Scholar 

  47. Schartinger VH, Falkeis C, Laimer K, Sprinzl GM, Riechelmann H, Rasse M, et al. Neuroendocrine differentiation in head and neck squamous cell carcinoma. J Laryngol Otol. 2012;126:1261–70.

    Article  CAS  PubMed  Google Scholar 

  48. Bennink RJ, van der Meulen FW, Freling NJ, Booij J. Somatostatin receptor scintigraphy in nasopharyngeal carcinoma. Clin Nucl Med. 2008;33:558–61.

    Article  PubMed  Google Scholar 

  49. Doan JT, Arnold CD. An unusual case of positive somatostatin receptor scintigraphy in squamous cell carcinoma of head and neck. Clin Nucl Med. 2011;36:380–1.

    Article  PubMed  Google Scholar 

  50. Viswanathan K, Sadow PM. Somatostatin receptor 2 is highly sensitive and specific for Epstein-Barr virus-associated nasopharyngeal carcinoma. Hum Pathol. 2021;117:88–100.

    Article  CAS  PubMed  Google Scholar 

  51. Lechner M, Schartinger VH, Steele CD, Nei WL, Ooft ML, Schreiber L-M, et al. Somatostatin receptor 2 expression in nasopharyngeal cancer is induced by Epstein Barr virus infection: impact on prognosis, imaging and therapy. Nat Commun. 2021;12:117.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Zhao L, Pang Y, Wang Y, Chen J, Zhuang Y, Zhang J, et al. Somatostatin receptor imaging with [68Ga]Ga-DOTATATE positron emission tomography/computed tomography (PET/CT) in patients with nasopharyngeal carcinoma. Eur J Nucl Med Mol Imaging. 2021;49(4):1360–73.

    Article  PubMed  CAS  Google Scholar 

  53. Unterrainer M, Maihoefer C, Cyran CC, Bartenstein P, Niyazi M, Albert NL. 68Ga-DOTATATE PET/CT Reveals epstein-barr virus-associated nasopharyngeal carcinoma in a case of suspected sphenoid wing meningioma. Clin Nucl Med. 2018;43:287–8.

    Article  PubMed  Google Scholar 

  54. Schartinger VH, Dudás J, Decristoforo C, Url C, Schnabl J, Göbel G, et al. 68Ga-DOTA0-Tyr3-octreotide positron emission tomography in head and neck squamous cell carcinoma. Eur J Nucl Med Mol Imaging. 2013;40:1365–72.

    Article  PubMed  Google Scholar 

  55. Schartinger VH, Dudás J, Url C, Reinold S, Virgolini IJ, Kroiss A, et al. 68Ga-DOTA0-Tyr3-octreotide positron emission tomography in nasopharyngeal carcinoma. Eur J Nucl Med Mol Imaging. 2015;42:20–4.

    Article  CAS  PubMed  Google Scholar 

  56. Wild D, Schmitt JS, Ginj M, Mäcke HR, Bernard BF, Krenning E, et al. DOTA-NOC, a high-affinity ligand of somatostatin receptor subtypes 2, 3 and 5 for labelling with various radiometals. Eur J Nucl Med Mol Imaging. 2003;30:1338–47.

    Article  CAS  PubMed  Google Scholar 

  57. Wild D, Mäcke HR, Waser B, Reubi JC, Ginj M, Rasch H, et al. 68Ga-DOTANOC: a first compound for PET imaging with high affinity for somatostatin receptor subtypes 2 and 5. Eur J Nucl Med Mol Imaging. 2005;32:724.

    Article  PubMed  Google Scholar 

  58. Khor LK, Loi HY, Sinha AK, Tong KT, Goh BC, Loh KS, et al. Correlation between (68)Ga-DOTA-NOC PET/CT and (18)F-FDG PET/CT in EBV-positive undifferentiated nasopharyngeal carcinoma. Eur J Nucl Med Mol Imaging. 2015;42:1162–3.

    Article  PubMed  Google Scholar 

  59. Khor LK, Loi HY, Sinha AK, Tong KT, Goh BC, Loh KS, et al. 68Ga-DOTA-peptide: a novel molecular biomarker for nasopharyngeal carcinoma: 68Ga-DOTA-peptide in NPC. Head Neck. 2016;38:E76–80.

    Article  PubMed  Google Scholar 

  60. Zhu W, Zhang J, Singh A, Kulkarni HR, Baum RP. Metastatic nasopharyngeal carcinoma treated with intraarterial combined with intravenous peptide receptor radionuclide therapy. Clin Nucl Med. 2019;44:989–90.

    Article  PubMed  Google Scholar 

  61. Junttila MR, de Sauvage FJ. Influence of tumour micro-environment heterogeneity on therapeutic response. Nature. 2013;501:346–54.

    Article  CAS  PubMed  Google Scholar 

  62. Quail DF, Joyce JA. Microenvironmental regulation of tumor progression and metastasis. Nat Med. 2013;19:1423–37.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Curry JM, Sprandio J, Cognetti D, Luginbuhl A, Bar-ad V, Pribitkin E, et al. Tumor microenvironment in head and neck squamous cell carcinoma. Semin Oncol. 2014;41:217–34.

    Article  CAS  PubMed  Google Scholar 

  64. Kim J, Bae J-S. Tumor-associated macrophages and neutrophils in tumor microenvironment. Mediators Inflamm. 2016;2016:6058147.

    PubMed  PubMed Central  Google Scholar 

  65. Peltanova B, Raudenska M, Masarik M. Effect of tumor microenvironment on pathogenesis of the head and neck squamous cell carcinoma: a systematic review. Mol Cancer. 2019;18:63.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Sun Y. Tumor microenvironment and cancer therapy resistance. Cancer Lett. 2016;380:205–15.

    Article  CAS  PubMed  Google Scholar 

  67. Bussard KM, Mutkus L, Stumpf K, Gomez-Manzano C, Marini FC. Tumor-associated stromal cells as key contributors to the tumor microenvironment. Breast Cancer Res. 2016;18:84.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  68. Hamson EJ, Keane FM, Tholen S, Schilling O, Gorrell MD. Understanding fibroblast activation protein (FAP): substrates, activities, expression and targeting for cancer therapy. Proteomics Clin Appl. 2014;8:454–63.

    Article  CAS  PubMed  Google Scholar 

  69. Zi F, He J, He D, Li Y, Yang L, Cai Z. Fibroblast activation protein α in tumor microenvironment: recent progression and implications (review). Mol Med Rep. 2015;11:3203–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Jansen K, Heirbaut L, Verkerk R, Cheng JD, Joossens J, Cos P, et al. Extended structure-activity relationship and pharmacokinetic investigation of (4-quinolinoyl)glycyl-2-cyanopyrrolidine inhibitors of fibroblast activation protein (FAP). J Med Chem. 2014;57:3053–74.

    Article  CAS  PubMed  Google Scholar 

  71. Kratochwil C, Flechsig P, Lindner T, Abderrahim L, Altmann A, Mier W, et al. 68Ga-FAPI PET/CT: tracer uptake in 28 different kinds of cancer. J Nucl Med Offl Publ Soc Nucl Med. 2019;60:801–5.

    CAS  Google Scholar 

  72. Lindner T, Loktev A, Altmann A, Giesel F, Kratochwil C, Debus J, et al. Development of quinoline-based theranostic ligands for the targeting of fibroblast activation protein. J Nucl Med Offl Publ Soc Nucl Med. 2018;59:1415–22.

    CAS  Google Scholar 

  73. Giesel FL, Kratochwil C, Lindner T, Marschalek MM, Loktev A, Lehnert W, et al. 68Ga-FAPI PET/CT: biodistribution and preliminary dosimetry estimate of 2 DOTA-containing FAP-targeting agents in patients with various cancers. J Nucl Med. 2019;60:386–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Serfling S, Zhi Y, Schirbel A, Lindner T, Meyer T, Gerhard-Hartmann E, et al. Improved cancer detection in Waldeyer’s tonsillar ring by 68Ga-FAPI PET/CT imaging. Eur J Nucl Med Mol Imaging. 2021;48:1178–87.

    Article  CAS  PubMed  Google Scholar 

  75. Ballal S, Yadav MP, Moon ES, Kramer VS, Roesch F, Kumari S, et al. Biodistribution, pharmacokinetics, dosimetry of [68Ga]Ga-DOTA.SA.FAPi, and the head-to-head comparison with [18F]F-FDG PET/CT in patients with various cancers. Eur J Nucl Med Mol Imaging. 2021;48:1915–31.

    Article  CAS  PubMed  Google Scholar 

  76. Chen H, Zhao L, Ruan D, Pang Y, Hao B, Dai Y, et al. Usefulness of [68Ga]Ga-DOTA-FAPI-04 PET/CT in patients presenting with inconclusive [18F]FDG PET/CT findings. Eur J Nucl Med Mol Imaging. 2021;48:73–86.

    Article  PubMed  Google Scholar 

  77. Gu B, Xu X, Zhang J, Ou X, Xia Z, Guan Q, et al. The added value of 68Ga-FAPI-04 PET/CT in patients with head and neck cancer of unknown primary with 18 F-FDG negative findings. J Nucl Med. 2022;63:875–81.

    Article  PubMed  Google Scholar 

  78. Syed M, Flechsig P, Liermann J, Windisch P, Staudinger F, Akbaba S, et al. Fibroblast activation protein inhibitor (FAPI) PET for diagnostics and advanced targeted radiotherapy in head and neck cancers. Eur J Nucl Med Mol Imaging. 2020;47:2836–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. Zhao L, Pang Y, Zheng H, Han C, Gu J, Sun L, et al. Clinical utility of [68Ga]Ga-labeled fibroblast activation protein inhibitor (FAPI) positron emission tomography/computed tomography for primary staging and recurrence detection in nasopharyngeal carcinoma. Eur J Nucl Med Mol Imaging. 2021;48:3606–17.

    Article  CAS  PubMed  Google Scholar 

  80. Linz C, Brands RC, Kertels O, Dierks A, Brumberg J, Gerhard-Hartmann E, et al. Targeting fibroblast activation protein in newly diagnosed squamous cell carcinoma of the oral cavity—initial experience and comparison to [18F]FDG PET/CT and MRI. Eur J Nucl Med Mol Imaging. 2021;48:3951–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Chen S, Chen Z, Zou G, Zheng S, Zheng K, Zhang J, et al. Accurate preoperative staging with [Ga]Ga-FAPI PET/CT for patients with oral squamous cell carcinoma: a comparison to 2-[F]FDG PET/CT. Eur Radiol. 2022. https://doi.org/10.1007/s00330-022-08686-7

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  82. Chen H, Pang Y, Wu J, Zhao L, Hao B, Wu J, et al. Comparison of [68Ga]Ga-DOTA-FAPI-04 and [18F] FDG PET/CT for the diagnosis of primary and metastatic lesions in patients with various types of cancer. Eur J Nucl Med Mol Imaging. 2020;47:1820–32.

    Article  PubMed  Google Scholar 

  83. Qin C, Liu F, Huang J, Ruan W, Liu Q, Gai Y, et al. A head-to-head comparison of 68Ga-DOTA-FAPI-04 and 18F-FDG PET/MR in patients with nasopharyngeal carcinoma: a prospective study. Eur J Nucl Med Mol Imaging. 2021;48:3228–37.

    Article  CAS  PubMed  Google Scholar 

  84. Whiteside TL. Head and neck carcinoma immunotherapy: facts and hopes. Clin Cancer Res. 2018;24:6–13.

    Article  CAS  PubMed  Google Scholar 

  85. Ferris RL, Blumenschein G, Fayette J, Guigay J, Colevas AD, Licitra L, et al. Nivolumab for recurrent squamous-cell carcinoma of the head and neck. N Engl J Med. 2016;375:1856–67.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  86. Cohen EEW, Soulières D, Le Tourneau C, Dinis J, Licitra L, Ahn M-J, et al. Pembrolizumab versus methotrexate, docetaxel, or cetuximab for recurrent or metastatic head-and-neck squamous cell carcinoma (KEYNOTE-040): a randomised, open-label, phase 3 study. Lancet (London, England). 2019;393:156–67.

    Article  CAS  Google Scholar 

  87. Seiwert TY, Burtness B, Mehra R, Weiss J, Berger R, Eder JP, et al. Safety and clinical activity of pembrolizumab for treatment of recurrent or metastatic squamous cell carcinoma of the head and neck (KEYNOTE-012): an open-label, multicentre, phase 1b trial. Lancet Oncol. 2016;17:956–65.

    Article  CAS  PubMed  Google Scholar 

  88. Siu LL, Even C, Mesía R, Remenar E, Daste A, Delord J-P, et al. Safety and efficacy of durvalumab with or without tremelimumab in patients with PD-L1–low/negative recurrent or metastatic HNSCC. JAMA Oncol. 2019;5:195–203.

    Article  PubMed  Google Scholar 

  89. Herbst RS, Soria J-C, Kowanetz M, Fine GD, Hamid O, Gordon MS, et al. Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients. Nature. 2014;515:563–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  90. Gentzler R, Hall R, Kunk PR, Gaughan E, Dillon P, Slingluff CL, et al. Beyond melanoma: inhibiting the PD-1/PD-L1 pathway in solid tumors. Immunotherapy. 2016;8:583–600.

    Article  CAS  PubMed  Google Scholar 

  91. van der Veen EL, Bensch F, Glaudemans AWJM, Lub-de Hooge MN, de Vries EGE. Molecular imaging to enlighten cancer immunotherapies and underlying involved processes. Cancer Treat Rev. 2018;70:232–44.

    Article  PubMed  CAS  Google Scholar 

  92. England CG, Jiang D, Ehlerding EB, Rekoske BT, Ellison PA, Hernandez R, et al. 89Zr-labeled nivolumab for imaging of T-cell infiltration in a humanized murine model of lung cancer. Eur J Nucl Med Mol Imaging. 2018;45:110–20.

    Article  CAS  PubMed  Google Scholar 

  93. Li D, Cheng S, Zou S, Zhu D, Zhu T, Wang P, et al. Immuno-PET imaging of 89Zr labeled anti-PD-L1 domain antibody. Mol Pharm. 2018;15:1674–81.

    Article  CAS  PubMed  Google Scholar 

  94. Maute RL, Gordon SR, Mayer AT, McCracken MN, Natarajan A, Ring NG, et al. Engineering high-affinity PD-1 variants for optimized immunotherapy and immuno-PET imaging. Proc Natl Acad Sci USA. 2015;112:E6506–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  95. Bensch F, van der Veen EL, Lub-de Hooge MN, Jorritsma-Smit A, Boellaard R, Kok IC, et al. (89)Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer. Nat Med. 2018;24:1852–8.

    Article  CAS  PubMed  Google Scholar 

  96. Li D, Li X, Yang J, Shi Z, Zhang L, Li R, et al. Nivolumab-DTPA-based PD-1 imaging reveals structural and pathological changes in colorectal carcinoma. Front Bioeng Biotechnol. 2022;10: 839756.

    Article  PubMed  PubMed Central  Google Scholar 

  97. Li D, Wang C, Zhang D, Peng Y, Ren S, Li X, et al. Preliminary application of 125I–nivolumab to detect PD-1 expression in colon cancer via SPECT. J Radioanal Nucl Chem. 2018;318:1237–42.

    Article  CAS  Google Scholar 

  98. Verhoeff SR, van de Donk PP, Aarntzen EHJG, Oosting SF, Brouwers AH, Miedema IHC, et al. Zr-DFO-durvalumab PET/CT prior to durvalumab treatment in patients with recurrent or metastatic head and neck cancer. J Nucl Med. 2022. https://doi.org/10.2967/jnumed.121.263470

    Article  CAS  Google Scholar 

  99. Oweida A, Lennon S, Calame D, Korpela S, Bhatia S, Sharma J, et al. Ionizing radiation sensitizes tumors to PD-L1 immune checkpoint blockade in orthotopic murine head and neck squamous cell carcinoma. Oncoimmunology. 2017;6: e1356153.

    Article  PubMed  PubMed Central  Google Scholar 

  100. Oweida A, Hararah MK, Phan A, Binder D, Bhatia S, Lennon S, et al. Resistance to radiotherapy and PD-L1 blockade is mediated by TIM-3 upregulation and regulatory T-Cell infiltration. Clin Cancer Res. 2018;24:5368–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  101. Kikuchi M, Clump DA, Srivastava RM, Sun L, Zeng D, Diaz-Perez JA, et al. Preclinical immunoPET/CT imaging using Zr-89-labeled anti-PD-L1 monoclonal antibody for assessing radiation-induced PD-L1 upregulation in head and neck cancer and melanoma. Oncoimmunology. 2017;6: e1329071.

    Article  PubMed  PubMed Central  Google Scholar 

  102. Hynes RO. Integrins: bidirectional, allosteric signaling machines. Cell. 2002;110:673–87.

    Article  CAS  PubMed  Google Scholar 

  103. Debordeaux F, Chansel-Debordeaux L, Pinaquy J-B, Fernandez P, Schulz J. What about αvβ3 integrins in molecular imaging in oncology? Nucl Med Biol. 2018;62–63:31–46.

    Article  PubMed  CAS  Google Scholar 

  104. Fabricius E-M, Wildner G-P, Kruse-Boitschenko U, Hoffmeister B, Goodman SL, Raguse J-D. Immunohistochemical analysis of integrins αvβ3, αvβ5 and α5β1, and their ligands, fibrinogen, fibronectin, osteopontin and vitronectin, in frozen sections of human oral head and neck squamous cell carcinomas. Exp Ther Med. 2011;2:9–19.

    Article  CAS  PubMed  Google Scholar 

  105. Ahmedah HT, Patterson LH, Shnyder SD, Sheldrake HM. RGD-binding integrins in head and neck cancers. Cancers (Basel). 2017;9:56.

    Article  PubMed Central  CAS  Google Scholar 

  106. Nieberler M, Reuning U, Reichart F, Notni J, Wester H-J, Schwaiger M, et al. Exploring the role of RGD-recognizing integrins in cancer. Cancers. 2017;9:116.

    Article  PubMed Central  CAS  Google Scholar 

  107. Beer AJ, Grosu A-L, Carlsen J, Kolk A, Sarbia M, Stangier I, et al. [18F]galacto-RGD positron emission tomography for imaging of alphavbeta3 expression on the neovasculature in patients with squamous cell carcinoma of the head and neck. Clin Cancer Res Offl J Am Assoc Cancer Res. 2007;13:6610–6.

    Article  CAS  Google Scholar 

  108. Lobeek D, Rijpkema M, Terry SYA, Molkenboer-Kuenen JDM, Joosten L, van Genugten EAJ, et al. Imaging angiogenesis in patients with head and neck squamous cell carcinomas by [68Ga]Ga-DOTA-E-[c(RGDfK)]2 PET/CT. Eur J Nucl Med Mol Imaging. 2020;47:2647–55.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  109. Durante S, Dunet V, Gorostidi F, Mitsakis P, Schaefer N, Delage J, et al. Head and neck tumors angiogenesis imaging with 68Ga-NODAGA-RGD in comparison to 18F-FDG PET/CT: a pilot study. EJNMMI Res. 2020;10:47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  110. Ansari MJ, Bokov D, Markov A, Jalil AT, Shalaby MN, Suksatan W, et al. Cancer combination therapies by angiogenesis inhibitors; a comprehensive review. Cell Commun Signal. 2022;20:49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  111. Terry SYA, Abiraj K, Lok J, Gerrits D, Franssen GM, Oyen WJG, et al. Can 111In-RGD2 monitor response to therapy in head and neck tumor xenografts? J Nucl Med Offl Publ Soc Nucl Med. 2014;55:1849–55.

    CAS  Google Scholar 

  112. Rylova SN, Barnucz E, Fani M, Braun F, Werner M, Lassmann S, et al. Does imaging αvβ3 integrin expression with PET detect changes in angiogenesis during bevacizumab therapy? J Nucl Med Offl Publ Soc Nucl Med. 2014;55:1878–84.

    Google Scholar 

  113. Chen S-H, Wang H-M, Lin C-Y, Chang JT-C, Hsieh C-H, Liao C-T, et al. RGD-K5 PET/CT in patients with advanced head and neck cancer treated with concurrent chemoradiotherapy: Results from a pilot study. Eur J Nucl Med Mol Imaging. 2016;43:1621–9.

    Article  CAS  PubMed  Google Scholar 

  114. Roesch S, Lindner T, Sauter M, Loktev A, Flechsig P, Müller M, et al. Comparison of the RGD motif-containing αvβ6 integrin-binding peptides SFLAP3 and SFITGv6 for diagnostic application in HNSCC. J Nucl Med Offl Publ Soc Nucl Med. 2018;59:1679–85.

    CAS  Google Scholar 

  115. Quigley NG, Steiger K, Hoberück S, Czech N, Zierke MA, Kossatz S, et al. PET/CT imaging of head-and-neck and pancreatic cancer in humans by targeting the "Cancer Integrin" αvβ6 with Ga-68-Trivehexin. Eur J Nucl Med Mol Imaging. 2021.

  116. Chang SS. Overview of prostate-specific membrane antigen. Rev Urol. 2004;6:S13–8.

    PubMed  PubMed Central  Google Scholar 

  117. Virgolini I, Decristoforo C, Haug A, Fanti S, Uprimny C. Current status of theranostics in prostate cancer. Eur J Nucl Med Mol Imaging. 2018;45:471–95.

    Article  PubMed  Google Scholar 

  118. Chang SS, O’Keefe DS, Bacich DJ, Reuter VE, Heston WDW, Gaudin PB. Prostate-specific membrane antigen is produced in tumor- associated neovasculature. Clin Cancer Res. 1999;5(10):2674–81.

    CAS  PubMed  Google Scholar 

  119. Haffner MC, Laimer J, Chaux A, Schäfer G, Obrist P, Brunner A, et al. High expression of prostate-specific membrane antigen in the tumor-associated neo-vasculature is associated with worse prognosis in squamous cell carcinoma of the oral cavity. Mod Pathol. 2012;25:1079–85.

    Article  CAS  PubMed  Google Scholar 

  120. Pandit-Taskar N, O’Donoghue JA, Divgi CR, Wills EA, Schwartz L, Gönen M, et al. Indium 111-labeled J591 anti-PSMA antibody for vascular targeted imaging in progressive solid tumors. EJNMMI Res. 2015;5:28.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  121. Lawhn-Heath C, Flavell RR, Glastonbury C, Hope TA, Behr SC. Incidental detection of head and neck squamous cell carcinoma on 68Ga-PSMA-11 PET/CT. Clin Nucl Med. 2017;42:e218–20.

    Article  PubMed  Google Scholar 

  122. Osman MM, Iravani A, Hicks RJ, Hofman MS. Detection of synchronous primary malignancies with 68Ga-labeled prostate-specific membrane antigen PET/CT in patients with prostate cancer: frequency in 764 patients. J Nucl Med. 2017;58:1938–42.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors wish to thank Dr Kejia Gao and Dr Tao Jiang for their support from the Department of Nuclear Medicine, Shanghai Fourth People’s Hospital, Shanghai, China.

Funding

This work is sponsored by the Fundamental Research Funds for the Central Universities.

Author information

Author notes

  1. Danni Li and Fei Tan contributed equally to this work

Authors and Affiliations

  1. Shanghai Fourth People’s Hospital, and School of Medicine, Tongji University, Shanghai, China

    Danni Li, Xuran Li & Fei Tan

  2. Department of Nuclear Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China

    Jun Zhao

  3. The Royal College of Surgeons in Ireland, Dublin, Ireland

    Fei Tan

  4. The Royal College of Surgeons of England, London, UK

    Fei Tan

Authors
  1. Danni Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xuran Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jun Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fei Tan
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

DL: methodology, formal analysis, writing, software, visualization. XL: software, visualization. JZ: conceptualization. FT: conceptualization, methodology, validation, formal analysis, resources, data curation, writing, supervision, project administration, funding acquisition.

Corresponding author

Correspondence to Fei Tan.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that there is no conflict of interest regarding the publication of this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, D., Li, X., Zhao, J. et al. Advances in nuclear medicine-based molecular imaging in head and neck squamous cell carcinoma. J Transl Med 20, 358 (2022). https://doi.org/10.1186/s12967-022-03559-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12967-022-03559-5

Keywords

Journal of Translational Medicine

ISSN: 1479-5876

Contact us