- Open Access
Immune monitoring and TCR sequencing of CD4 T cells in a long term responsive patient with metastasized pancreatic ductal carcinoma treated with individualized, neoepitope-derived multipeptide vaccines: a case report
Journal of Translational Medicine volume 16, Article number: 23 (2018)
Cancer vaccines can effectively establish clinically relevant tumor immunity. Novel sequencing approaches rapidly identify the mutational fingerprint of tumors, thus allowing to generate personalized tumor vaccines within a few weeks from diagnosis. Here, we report the case of a 62-year-old patient receiving a four-peptide-vaccine targeting the two sole mutations of his pancreatic tumor, identified via exome sequencing.
Vaccination started during chemotherapy in second complete remission and continued monthly thereafter. We tracked IFN-γ+ T cell responses against vaccine peptides in peripheral blood after 12, 17 and 34 vaccinations by analyzing T-cell receptor (TCR) repertoire diversity and epitope-binding regions of peptide-reactive T-cell lines and clones. By restricting analysis to sorted IFN-γ-producing T cells we could assure epitope-specificity, functionality, and TH1 polarization.
A peptide-specific T-cell response against three of the four vaccine peptides could be detected sequentially. Molecular TCR analysis revealed a broad vaccine-reactive TCR repertoire with clones of discernible specificity. Four identical or convergent TCR sequences could be identified at more than one time-point, indicating timely persistence of vaccine-reactive T cells. One dominant TCR expressing a dual TCRVα chain could be found in three T-cell clones. The observed T-cell responses possibly contributed to clinical outcome: The patient is alive 6 years after initial diagnosis and in complete remission for 4 years now.
Therapeutic vaccination with a neoantigen-derived four-peptide vaccine resulted in a diverse and long-lasting immune response against these targets which was associated with prolonged clinical remission. These data warrant confirmation in a larger proof-of concept clinical trial.
Pancreatic cancer represents an aggressive cancer entity with high morbidity and mortality—especially for patients with advanced and metastatic diseases. The overall 5-year survival probability is less than 5% [1,2,3,4]. Therefore, novel therapeutic options are urgently needed. Within the past decade, enthusiasm of using vaccines as anticancer agents has revived. Data collected so far document that a variety of anticancer vaccines including cell-, DNA-, and purified component-based vaccines are capable of circumventing the poorly immunogenic and highly immunosuppressive nature of most tumors and eliciting therapeutically relevant immune responses [5, 6]. Various lines of evidence suggest that pancreatic adenocarcinoma can also induce anti-tumoral T-cell responses [7,8,9], thus “off-the-shelf” peptide vaccines (KRAS, Gastrin G17DT, HSP-CC-96, WT1, VEGF-R and2, hTERT, Her2/neu, KIF20A ), recombinant vaccines (MUC-1- and CEA-expressing poxviruses with GM-CSF), live attenuated Listeria mesothelin-expressing vaccines, irradiated whole allogenic tumor and Listeria , as well as inactivated whole tumor cell vaccines (Algenpantucel-L, allogeneic GM-CSF) have been evaluated for therapy in this type of cancer [12,13,14]. Preliminary studies yielded promising results, yet could not demonstrate significant improvement of patient survival. Nevertheless, they emphasized several critical aspects for the design of successful next-generation cancer vaccines, namely: (i) cancer vaccines should target tumor-specific antigens not expressed on healthy tissue, (ii) the applied adjuvant should potently activate antigen-presenting cells (APCs) which in turn stimulate antigen-specific cytotoxic T lymphocytes (CTLs) , and (iii) vaccine schedules should include strategies for breaking immunological tolerance.
Non-self-antigens like unique neo-antigens created by tumor specific mutations have hitherto been cumbersome to detect. The laborious search for tumor-specific mutations including cDNA expression cloning, serologic analysis of recombinant cDNA expression libraries (SEREX), and reverse immunological approaches  was dramatically simplified with the advent of next-generation sequencing (NGS) technologies. Entire cancer exomes can be sequenced and compared with healthy tissue (germline) exome, providing the fundamentally new opportunity to cover the patient’s individual aberrancy within a personalized vaccine. Such an approach integrates the tremendous heterogeneity of tumors and increases the probability of generating a tumor-specific immune response, since T cells theoretically should bind with a higher affinity to neo-antigens that have not been subject to thymic negative selection. In this context, oncogenic driver mutations are not necessarily tumor-rejecting antigens [10, 17, 18], and therapeutically useful targets may be generated from individual passenger mutations as well .
As the induction of cell-mediated immunity requires antigen-presentation by activated professional antigen-presenting cells (APCs) , vaccines must be administered in conjunction with adjuvants such as incomplete Freund’s adjuvant, diverse TLR agonists, alum, or immunostimulatory cytokines such as GM-CSF. In the present study GM-CSF was chosen, since it boosted the vaccine efficiency in the first licensed cancer vaccine Provenge , and improved patient outcome in phase 3 studies when applied in combination with suitable anti-tumor vaccines .
Considerable progress towards enhancing vaccine efficacy has been achieved by combining anti-cancer vaccines with a varied panel of therapeutics, aiming to break the immune-suppressive nature of the tumor milieu . Among those agents working synergistically with immune interventions are diverse inhibitors of checkpoint molecules, targeted and/or chemo-therapies that can induce immunogenic cell death (ICD) [5, 23,24,25]. One of those compounds is oxaliplatin, a platinum derivative and part of the Folfirinox regimen (fluorouracil/leucovorin, irinotecan, oxaliplatin), a drug combination frequently used in the treatment of pancreatic cancer [26, 27]. This regimen combines agents that stimulate the release of danger signals, upregulates cellular tumor antigens, and induces ICD . In addition, oxaliplatin reduces the expression of PD-L2, thus enhances antigen-specific proliferation and Th1 cytokine secretion , while 5-FU induces apoptosis selectively in MDSC and attenuates Treg activity. Therefore, the Folfirinox regimen may induce synergies with immunotherapy by neutralizing immunosuppression and fueling neo-antigen-specific immunity [29,30,31].
Here, we characterize the T-cell response of a patient receiving a 4-peptide-vaccine targeting the two sole mutations of his tumor in an individual patient treatment approach. Our data show the ability of vaccine-peptides to elicit antigen-specific immunity against pancreatic carcinoma antigens. We demonstrate the broadness of the induced T-cell repertoire, its persistence and modulation over time, as well as novel aspects of vaccine-induced T-cell responses.
A 62 year old male patient was diagnosed with pancreatic ductal carcinoma in September 2011 and subsequently underwent pylorus-preserving duodeno-cephalo-pancreatectomy in October 2011. According to UICC TNM nomenclature the tumor was classified as an incompletely resected (R1), poorly differentiated ductal adenocarcinoma Stage IIB, pT3pN1M0. According to standard treatment guidelines the patient received 6 cycles of Gemcitabine. Six months later (7/2012), a metastasis in the liver was diagnosed and probed, yet not surgically resected. Subsequently, second line chemotherapy was started 9/2012 with application of the Folfirinox regimen. 10 months later (7/2013), after 19 cycles of Folfirinox, the patient was radiologically in second complete remission, the tumor marker CA19-9 had returned to normal range and therapeutic vaccination with tumor-specific peptides was initiated. Vaccine induction regimen consisted of five peptide vaccinations combined with GM-CSF (Leukine, Berlex, Berlin, Germany) as an adjuvant on days 1, 3, 7, 14 and 28, followed by monthly vaccine boosts. No vaccine-related adverse events were observed. Folfirinox chemotherapy continued in parallel for another 7 cycles until January 2014 and was finally halted after a total of 26 cycles. Peptide vaccination is currently ongoing. The patient has been in complete remission (CR) for more than 4 years, i.e. 6 years after diagnosis. Time line of events is detailed in Fig. 1.
The patient gave his written informed consent for the collection of blood and tissue samples and additional consent was obtained for using this approach also for investigational purposes based on a biospecimen utilization protocol.
Staging, surgical resection, diagnostic procedures and adjuvant chemotherapy was applied according to standard treatment algorithms. Molecular work-up of the liver metastasis, peptide design and manufacturing was commissioned to commercial service providers by the patient. Peptide injections were carried out by the patient’s general practitioner.
Identification of neo-antigens and peptide design
Genomic DNA was isolated from a liver metastasis biopsy of the pancreatic carcinoma and a blood sample of the patient (reference tissue). The samples were enriched for whole exome sequencing (Agilent In-Solution Technology) and sequenced on a SOLiD 5500xl next generation sequencing platform (Applied Biosystems/Life Technologies now Thermo Fisher Scientific). The sequence information derived from the tumor tissue was bioinformatically compared with the sequence information derived from the reference tissue. The called variants were then reviewed manually. One missense variant was identified, namely within the RIM1-Gene, c.[402G > A], p.[Met134Ile] (according to NM_024945). Gene expression analysis of the altered sequence on mRNA level was performed for verification (RNA isolation from fresh frozen tissue). A second mutation with ambiguous quality was found in the KIF4B-Gene. Since this mutation also represents a potential anti-tumor target, this variant was also used for neo-epitope delineation.
For the design of vaccine peptides, epitope prediction was performed with the HLA class I peptide binding algorithms NetMHC [32, 33] and SYFPEITHI  (Table 1). Two peptides—predicted to bind to the patients HLA class I—were designed for each neo-sequence by laying a virtual 9 amino acid frame onto the respective mutated sequence. 2 peptides differing from one another in the 5′ and 3′ end, respectively (Fig. 2) were chosen for vaccination purposes according to optimum likelihood to be presented by the patients HLA ligands (A01:01, A02:01; B18:01, B44:02; C07:01, C05:041, DRB1 11:01, DRB1 13:01 DQB1 03:01, DQB1 06:03) Peptide 1: RMI1127–136 epitope (WEAKPSRIL), peptide 2; KIF4B736–747 epitope (GIAARVKNWL), peptide 3; KIF4B738–748 epitope (KEGIAARVKNW), and peptide 4; RMI1128–136 epitope (EAKPSRILM)).
Application of the vaccine
Vaccination regimen started with a priming phase by vaccinating the patient on days 1, 3, 8, 15 and 29, and then continued by monthly boost vaccines for maintenance. The peptide cocktail was applied intracutaneously, the adjuvant GM-CSF (sargramostin 250 µg/injection, Leukine®) was applied subcutaneously.
Vaccination peptide synthesis and vaccine formulation
Vaccination peptides were ordered commercially (American Peptide Company) by the patient. Before injection, the lyophilized peptides were dissolved in DMSO (Hybri-Max, sterile filtered, Sigma-Aldrich) and further diluted in water (Aqua ad injectabilia, B. Braun, Melsungen, Germany) to a final concentration of 0.8 mg/ml per peptide (400 µg/500 µl vaccination dose per peptide).
Enrichment of peptide-specific T cells
Immune monitoring was carried out at three defined time points: IM1 28 weeks, IM2 44 weeks, and IM3 108 weeks after initiation of peptide vaccines (after having received 8, 12 and 28 vaccinations). At the respective time points, patient PBMCs from freshly drawn heparinized blood were isolated with Ficoll Isopaque density gradient centrifugation (Pharmacia, Uppsala, Sweden) and cultured in RPMI1640 (10% FBS, P/S, Glu) supplemented with low dose IL-2 (20U/ml), IL-7 (2 ng/ml) and vaccine peptide- (10 µg/ml) or PBS-pulsed (controls) autologous feeder cells to bias survival of potentially in vivo primed T cells. Fresh medium containing 10% FBS supplemented with IL-2 (20U/ml) and IL-7 (2 ng/ml) was provided twice per week, whereas peptide stimulus was given only at day 7 of culture. At day 12, cells were restimulated with peptide-pulsed (10 µg/ml) PBMCs and T cells responding to vaccine-peptide stimulus with IFN-γ production were isolated 5 h later using IFN-γ Secretion Assay Kit (Miltenyi Biotech, Germany) according to the manufacturer’s instructions. Isolated cells were analyzed for the complexity of their T-cell receptor repertoire and epitope-binding region (CDR3 sequence). In IM1, PBMCs were stimulated with a pool of all four peptides, in IM2 the four vaccine peptides were analyzed separately, in IM3 cloning experiments were performed which allowed a more detailed identification of peptide-specific TCRs. CDR3 size spectratyping of unmanipulated peripheral T cells and direct sequencing of single prominent peaks was performed at all time points. Additional file 1: Fig. S1 provides an overview of immune monitoring techniques.
Cloning of neo-antigen-specific T cells for identification of TCR heterodimers
IFN-γ -selected T cells were expanded for 1 week in standard RPMI1640 supplemented with IL-7 (10 ng/ml), IL-2 (100 U/ml), and IL-15 (10 ng/ml) and subsequently cloned following standard limiting dilution procedure (0.3 cells in a 96-round-bottom-well with 105 feeder cells (80 Gy-irradiated autologous PBMCs). After 3 weeks of cloning culture—allogeneic PBMCs from a 9/10 HLA-matched healthy donor (A02:01, A02:01; B18:01, B44:02; C07:01, C05:041; DRB1 11:01, DRB1 13:01; DQB1 03:01, DQB1 06:03) were used as peptide-presenting feeder cells. T-cell cloning culture was supplemented with fresh medium, IL-7 (10 ng/ml), IL-2 (50U/ml), and IL-15 (10 ng/ml) twice per week and peptide-pulsed feeder cells once per week.
Peptide specificity of established clones was evaluated using peptide-pulsed monocytes from a HLA-matched healthy donor. Presenting monocytes had been highly enriched by MACS with αCD14 microbeads (Miltenyi Biotec; Bergisch-Gladbach,Germany) to prevent donor T-cell contamination. IFN-γ production of T-cells clones in response to peptide-presenting monocytes was quantified by routine intracellular FACS staining procedures.
RNA extraction, cDNA synthesis
RNA was extracted with the RNeasy Mini Kit (Qiagen, Hilden, Germany) and reverse transcribed using the Superscript III First Strand Synthesis Super Mix (Life Technology, Germany) as recommended by the manufacturer.
TCR Vα- and Vβ-repertoire spectratyping
TCR repertoire complexity was analyzed by CDR3 size spectratyping in 32 (TCRα) and 24 (TCRβ) PCR reactions as published previously . Amplified PCR products were size-fractionated by capillary gel electrophoresis using the ABI model 3130 Genetic Analyzer, and data analyzed with GeneMapper v4.0 (Applied Biosystems).
Identification of the epitope-binding region of TCRs from neo-antigen-specific T cells
Single peaks in TCRVα- and Vβ-repertoire spectratype analysis were subjected to direct sequencing approaches for determination of CDR3 amino acid sequences using the BigDye® Terminator v3.1 Cycle Sequencing Kit (Life Technologies, Germany). Sequences were read in an ABI3130 Genetic Analyzer and matched with IMGT, NCBI Blast and Emboss databases.
Furthermore, selected clones were analyzed by flow cytometry for TCRVβ expression using the IOTest® Beta Mark Kit (Beckman Coulter, Germany).
Real time PCR
For (quantitative) analysis of cytokine and transcription factor expression, perforin-, granzyme B-, class I-restricted T cell-associated molecule (CRTAM)- and GAPDH-specific primers were used in combination with the SYBR Green kit (Promega, USA) in a BioRad C1000 Thermal cycler/CFX96 real-time System (BioRad, Germany). GAPDH was used as reference gene. Briefly, cDNA was added to a final volume of 10 μl/reaction containing 1 × SYBR Green PCR Master Mix (Promega, USA) and 100 nM of each primer. Thermal cycling conditions were: denaturation at 95 °C 10 min, 40 cycles: 95 °C/30′′, 60 °C/30′′ and 72 °C, 1 min for elongation. Primer sequences were: CRTAM-for: 5′-CCTCTCAAGACCCACAGCAG-3′, CRTAM-rev: 5′-AATGAGGAA-GGACACCAGCG-3′, perforin-for, 5′-ACCAGCAATGTGCATGTGTCTG-3′ and perforin–rev: 5′-GGCCCTCTTGAAGTCAGGGT-3′ , GrzB for: 5′-TTCGTGCTGA-CAGCTGCTCACT-3′ and GrzB-rev, 5′-CTCTCCAGCTGCAGTAGCA-TGA-3′ , GAPDH-for: 5′-CCACATCGCTCAGACACCAT-3′ and GAPDH-rev: 5′-GGCAACAA-TATCCACTTTACCAGACT-3′ (RTPrimerDB ID 2053).
Cells were stained according to standard procedures using the following antibodies (clone, manufacturer): PerCP/APC-CD3 (SK7, BD), Vioblue-CD4 (VIT4, Miltenyi Biotec Germany), APC-H7-CD8α (SK1, BD), FITC/APC-CD62L (LT-TD180, ImmunoTools), APC-CD25 (2A3, BD Pharmingen), PE-CF594-A-CCR7 (150503, BD), CD45RO, PE-Cy7-CD45RA (H/100, BD), CD27, UV1-A-CD25, APC-CD69 (FN50, Biolegend), CD276, UV3-CD28, CD95. Intracellular fixation/permeabilization kit (eBioscience) and Brilliant-Violet 785-TNF-α (MAb11), PE-IFN-γ (B27) were used for intracellular cytokine staining according to the manufacturer’s instructions. Dead cells were excluded via Alexa Fluor 350 (Invitrogen) or via Zombie Aqua™ (Biolegend). PBMCs were pretreated with FcR Blocking Reagent (Miltenyi Biotec) according to the manufacturer’s recommendations. Samples were analyzed on a LSR II or FACS Canto II with FACS Diva software (BD Biosciences).
Data were analyzed with Prism 6.0 (GraphPad Software, Inc) and Student’s t test. P < 0.05 was considered statistically significant.
Patient data, vaccine application and clinical outcome
After receiving state-of-the-art oncological treatment for primary and relapsed pancreatic carcinoma, immunotherapeutic interventions were initiated in July 2013 when routine staging (sonography, CT-scan, MRI) did not show any residual tumor, neither at the primary nor at the metastatic site (second complete remission). The tumor was found to be positive for CA19-9 and blood levels correlated with the disease course. CA19-9 levels have remained within normal ranges since March 2013. Chemotherapy was terminated 27 months after disease onset (Fig. 1). Currently, 64 months after initial diagnosis and 43 months after initialization of vaccine therapy, the patient is in good health and fully active (ECOG 0). The latest routine examination (physical examination and laboratory test in March 2017, CT in Jun 2016 and sonography in November 2016) showed no evidence of disease.
Overall TCR repertoire complexity increases during vaccination
TCRVα and Vβ-chain repertoires of the unmanipulated peripheral T-cell pool at IM1 showed a reduced complexity most likely as a consequence of long-term chemotherapy. Numerous families in both the TCRVα and Vβ chain repertoires, exhibited profound skewing indicating limited diversity and clonal expansions. Accordingly, TCRVα 8-1, 14DV4, 21, 30, and TCRVβ 6-5, 12-3, 21-1 sequences—obtained by direct sequencing of singular peaks (Additional file 2: Fig. S2)—showed CDR3 motifs similar to published TCRs specific for CMV (TCRVα 8-1, 30, TCRVβ 12-3, 21-1) (Table 2) and mycolic acid (TCRVβ 6-5) (a cell wall component of several bacteria including mycobacterium tuberculosis) and thus can be regarded as public TCR motifs [39,40,41].
Since the patient had no documented infection with CMV or mycobacteriaceae at that time, detection of these public TCRs rather reflects past infectious episodes with these microorganisms, which become more prominent with increasing age and under lymphodepleting chemotherapy . The overall complexity of the TCRVα and Vβ chain repertoires slightly increased over time after cessation of Folfirinox (Fig. 3).
Detection of vaccine-reactive T cells at IM1
To test whether the priming phase of the vaccine has resulted in a detectable vaccine-reactive T-cell response, PBMCs drawn 28 weeks after initiation of vaccination (i.e. after 8 vaccines) were cultivated ex vivo in the presence of vaccine peptides and low dose IL-2, in the absence of a mitogen. Such limiting growth conditions only activate and expand memory T cells since memory T cells have an increased sensitivity for TCR stimulation, are more sensitive to low doses of antigen and have an increased proliferative potential even without excessive support of cytokines . Moreover, the number of mature dendritic cells that is necessary to efficiently stimulate and prime naïve T cells in context with costimulatory molecules is low in PBMCs thus naïve T cells get stimulated simply with their cognate antigen alone, which makes them refractory to further stimulus, hyporesponsive and anergic [44, 45]. Thus the short term culture protocol impedes in vitro priming of naïve T cells, which could lead to false positive results. After expansion and restimulation, a total of 1.6% of T cells were responsive to the peptide pool with IFN–γ+ production, indicating a peptide-specific response (Fig. 4a). Interestingly, the majority of responding T cells were CD4+ (67.5%), the remaining CD8+ (19.7%) or double negative (Fig. 4a).
Vaccine peptides contribute differently to the T-cell response, IM2
Immune monitoring at time point IM2 (44 weeks after initial vaccination) was designed to discriminate how the 4 vaccine peptides contributed to the induced T-cell response. This time, PBMCs were stimulated with every single peptide in short term pre-cultures separately. Peptide 1 boosted the biggest share of IFN-γ+ T cells (0.3% IFN-γ+ cells/CD3+), followed by peptide 2 (0.2% IFN-γ+ cells/CD3+), whereas peptide 3 and 4 showed responses only around the background level (each 0.1% IFN-γ+ cells/CD3+) (Fig. 4b). This demonstrates that vaccine peptides were able to induce specific T-cell immunity yet quantitatively differed in their ability. Of note, peptides 1 and 2 had higher SYFPEITHI scores for HLA A*02:01 and B*44:02 than peptides 3 and 4 (Table 1). Only peptide 2 was also predicted as a binder for HLA DRB1*1101 and HLA DRB1*1301 (Table 1). Again, IFN-γ+ T cells were largely CD4+ dominated except for peptide 1 responding T cells, which—quite unexpectedly—were mostly (70%) CD4-/CD8-double negative (DN) T cells. γδ T cells–T cells that belong to innate immunity—lack a coreceptor and without the restriction for HLA presentation can directly respond to epitopes in proteins in either three dimensional as well as linear unfolded form, and also to soluble proteins or small peptide antigens . Intriguingly, the Tetanus toxin-derived peptide Clostridium tetani1235–1246 (GNAFNNLDRILR), for which γδ TCR-dependent responses have been reported , shares a 3 amino acid motif with the vaccine peptide WEAKSPRIL. This motif length is sufficient in size to provoke a TCR mediated γδ T cell peptide response . Therefore it is legitimate to assume that the DN T cells responding to peptides are γδ T cells.
Molecular characterization of peptide-specific T cells, IM1-3
In order to molecularly characterize the T-cell response against the vaccine on the CDR3 sequence level, we purified IFN-γ-responsive T-cells from IM1 and IM2 after expansion and restimulation in short-term culture via an IFN-γ-capture assay. These putatively peptide-specific T cells were then subject to CDR3 size spectratyping, direct sequencing of prominent peaks and bioinformatic data analysis. Since the genetic material obtained in this way was very limited and precluded more in-depth analyzes, at IM3 we generated T-cell clones against the 4 peptides using pre-clonal stimulation, IFN-γ-capture, limiting dilution and subsequent clonal expansion. Peptide 1 fostered 19 clones, peptide 2 8 clones, peptide 3 1 clone, no clone could be obtained with peptide 4. Vaccine-peptide specific clones were cultivated for another 3 weeks to obtain sufficient numbers for further analysis. Finally, 10 clones could be harvested in sufficient numbers for further analysis (Table 3 lower panel).
T-cell clones were exclusively CD4+ (Fig. 4c), enriched for IFN-γ responsiveness upon restimulation with the cognate peptide (Fig. 4c, d) and yielded unequivocally singular peaks in CDR3 size spectratypes (not shown). Phenotypically, T-cell clones expressed high levels of activation markers such as CD25, CD69, and HLA-DR (Additional file 3: Fig. S3), and higher mRNA levels of granzymeB, perforin, and CRTAM—that determines the CD4+ cytotoxic T lymphocyte lineage —than clones established in control cultures without peptide (Fig. 4e). Interestingly, the vast majority of T-cell clones in control cultures carried the identical public TCR Vα39 Vβ6-2, known to be specific for mycolic acid , (Additional file 4: Fig. S4), suggesting a high precursor frequency in peripheral blood and a significant survival advantage for these T-cells under the given culture conditions. Vaccine-peptide specific T cells were negative for Foxp3 and displayed a terminally differentiated effector T cell phenotype (TEMRA, CCR7−, CD45RA+) (Additional file 5: Figure S5a) . In contrast, clones obtained from control cultures without peptide exhibited an effector memory phenotype (CD45RO+, CD45RA−, CD62L−, CCR7−, CD27−) (Additional file 5: Figure S5b).
The epitope-binding CDR3 regions of the identified TCRs were of rather short length (median of 3 N-nucleotides, Table 3) and positively charged with the exception of TCRs reactive to peptide 1. We were able to identify two TCR sequences, with identical TCRVα- and TCRVβ-derived CDR3 sequences at two time points indicating persistence of vaccine-specific T-cell responses: TCRVβ18 bearing seqID 68 (IM2) and clone 17 (IM3), as well as TCRVβ14 bearing seqID 69 (IM2) and clone 42 (IM3). TCRs that share a common intermediate segment of the CDR3 sequence yet are flanked by different V- and J-gene segments are termed convergent CDR3 formations. Two convergent CDR3 formations could be detected at least at two sequential time points: seqID 31 (IM1) and seqID 46 (IM2), as well as seqID 44 (IM2) and clone 42 (IM3), again indicating clonal persistence. Whereas the two convergent TCRVα sequences were most likely stimulated by peptide 1, the two identical CDR3 sequences unexpectedly were stimulated by peptide 3 in IM2 and by peptide 1 and 2 in IM3. Peptides 1 and 3 are clearly different, yet are both predicted to bind to HLA-B44 and show identical amino acids in anchor positions 2 (E) and 7 (R) . Hydrophobic peptides 2 and 3 both bind to CD1d. Peptides 1 and 2 with the highest SYFPEITHI scores and NetMHCIIpan predictions induced most of the detectable CDR3 sequences and the highest number of clones (Table 1).
Three germline encoded CDR3 sequences (i.e. recombination of VD(J) gene segments without addition of N-nucleotides) were identified in peptide 2 (Seq. ID 46, 50) and peptide 1 (Seq. ID 44) (Table 3) pulsed cultures.
Three of four clones (35, 36, and 54) specific for peptide 1 expressed two TCRVα chains combined with one TCRVβ chain, respectively (Table 3), whereas peptide 2 stimulated five clones with singular TCRVα and -Vβ chains.
Identification of peptide-reactive T cells within the huge repertoire of existing TCR sequences of a human individual remains a major challenge. NGS approaches have significantly improved the sensitivity of clonality assays, e.g. in monitoring of minimal residual disease of lymphoid malignancies  or in tracking of known sequences of hypervariable regions. High-throughput sequencing may allow a better estimation of the actual frequency and redundancy of T-cell clonotypes, however, it is not suitable for deciphering vaccine-induced T-cell responses. Monitoring of immune responses after vaccination requires the correlation of identified TCR sequences with their specificity . Moreover, more in depth analyses of peptide-reactive T cells such as the determination of TCRVα- and Vβ-chain pairing, potential dual TCR expression, phenotypic characterization of markers such as Foxp3 or CRTAM which distinguish different functional states of T cells is not possible by using NGS approaches alone. In order to circumvent these limitations of large scale, non-supervised TCR sequencing, we focused on tracking defined T-cell responses against neo-epitope peptides after short pre-culture and expansion of patient PBMCs in the presence of vaccine peptides, a standard procedure used for the detection of epitope specific T cells . Only T cells responding to the peptide stimulus with IFN-γ release were isolated and used for further examination. By relying on IFN-γ production in response to a stimulus we could ascertain the specificity of these T cells, their functionality and TH1 phenotype. The separation of the peptide-reactive from non-specific background T cells allowed the enumeration of unique TCRVα and -Vβ sequences, an estimation on the diversity of induced TCR sequences, and tracking of clonal persistence over time. The technique of IFN-γ -capture assays is widely used for isolation and transfer of antigen-specific immunity, and T-cells sorted according to their IFN-γ secretion have demonstrated to be highly specific and functional, even in the clinical setting .
Our results demonstrated a discernible TCR-repertoire responsive to the vaccine peptides. Besides a consistency of the IFN-γ+ TCR repertoire in terms of net charge we detected two identical and two convergent CDR3 sequences at more than 1 time point, prodding persistent, vaccine-specific immunity. Furthermore, formation of convergent sequences against a common target could indicate strong immunogenicity of these neoepitope-derived peptides and indeed, three of these repetitive sequences could be attributed to the same peptide motif. However, one identical sequence was found in T cells reactive for peptide 1 (RMI1 mutation) and peptide 3 (KIF4B mutation). Whether sharing of the same presenting MHC molecule (HLA-B*44) or identical amino acids at anchor positions 2 and 7 contributed to this observation remains unclear. In general, broadness and diversity of peptide-reactive repertoires seemed to correspond with the MHC class I binding affinity based on SYFPEITHI scores : strong binder peptides 1 and 2 yielded more CDR3 sequences than weak binder peptides 3 and 4. Whether peptide presentation via CD1d (binds hydrophobic peptides with hydrophobic amino acids at anchor positions 1-4-7)  played a role for peptides 2 and 3 presentation was not assessed in our assays. In addition, only peptide 2 was also predicted as a weak binder for both of the patient’s HLA DRB MHC class II molecules (Table 1). This likelihood for being presented by HLA class I and II and CD1d goes well with the broadest TCR repertoire and a persistent CDR3 sequence motif induced by peptide 2.
The majority of identified T cells expressed single TCRVα- and -Vβ chains. Moreover, at IM3 we could identify a neo-antigen specific dual TCR, consisting of two alpha chains paired with one beta chain, in three clones. A dual TCR is able to bind two specificities, of which one possibly has not undergone thymic selection . Dual TCRs account for up to 30% of the normal T-cell repertoire in humans [57, 58] and in mice [59,60,61,62], and are regarded as rather beneficial for the host since they may help to generate more vigorous responses to problematic antigens . Dual TCRs can endow T cells with an intrinsic property for alloreactivity but do not necessarily confer increased susceptibility for autoimmunity . Interestingly, dual TCRs have been described as one of two possible mechanisms by which CD4+ T cells expressing a nominally MHC class I-restricted TCR can develop . As a matter of fact, although class I restricted peptides were used in this study, the vaccine-responsive T cells were mainly CD4+ and expressed CRTAM whose intracellular signaling is required for the induction of CD4+ CTLs . CRTAM+ CD4+ T cells have been described to possess characteristics of both CD4+ and CD8+ T cells, secrete IFN-γ, exhibit a CTL-related gene signature, such as eomesodermin (Eomes), granzymeB, and perforin, and traffic to sites of inflammation . Thus, our data indicate that CD4+ CTLs may play a role in vaccine-induced TCR repertoires, a finding that warrants further investigation in other vaccine settings as well as in preclinical models.
From a clinical perspective, the patient continues to show a remarkable long complete remission after standard therapy for a metastasized pancreatic ductal carcinoma. Since the patient was already in second complete remission when the neoepitope-derived vaccine was initiated, we cannot draw definite conclusions whether and to what extent the induced tumor-specific immune response contributed to long-term survival. Of note, induction of the immune response and the ongoing remission was achieved without adverse events from the vaccine, a frequent finding with therapeutic vaccines. In contrast, checkpoint inhibitors like CTLA-4 or PD-L1, which may boost but cannot induce anti-tumor immune responses, are frequently associated with significant adverse events, which can be dose limiting . The important question, whether checkpoint blockade could enhance vaccine-induced immune responses has to be addressed in further clinical trials.
We report a remarkable long-term remission in a patient with advanced pancreatic cancer, who received an individualized four peptide vaccine based on in silico predicted peptide motifs from the two sole mutations in his cancer, i.e. in the proteins RIM1 and KIF4B. Moderate to strong cytoplasmic and/or nuclear expression of these proteins has been documented in pancreatic cancer before . Three of the four peptides elicited detectable IFN-γ+ CTL responses which were CD4+ dominated. On the molecular level, both transient and persistent peptide-specific TCR CDR3 sequences could be identified. Our data show that an individualized, neoepitope-derived therapeutic vaccine is able to induce a tumor-specific immune response with a traceable molecular signature. This detailed immune monitoring program covering functional and molecular aspects of T-cell biology provides deepened insight into the mechanisms driving cancer vaccine responses and emphasizes the potential of personalized vaccines as a promising therapeutic strategy in maintaining long-term remissions, which have to be tested in controlled clinical trials.
Wellner UF, et al. Locally advanced pancreatic head cancer: margin-positive resection or bypass? ISRN Surg. 2012;2012:513241.
Assifi MM, et al. Neoadjuvant therapy in pancreatic adenocarcinoma: a meta-analysis of phase II trials. Surgery. 2011;150(3):466–73.
Siegel R, Naishadham D, Jemal A. Cancer facts and figures 2013. CA Cancer J Clin. 2012;63:11–30.
Bose D, Katz MHG, Fleming JB. Pancreatic Adenocarcinoma. In: Feig BW, Ching CD, editors. M.D. Anderson surgical oncology handbook. Philadelphia: Lippincott Williams and Wilkins; 2012. p. 472–490.
Aranda F, et al. Trial Watch: peptide vaccines in cancer therapy. Oncoimmunology. 2013;2(12):e26621.
Guo C, et al. Therapeutic cancer vaccines: past, present, and future. Adv Cancer Res. 2013;119:421–75.
Dodson LF, Hawkins WG, Goedegebuure P. Potential targets for pancreatic cancer immunotherapeutics. Immunotherapy. 2011;3(4):517–37.
Schmitz-Winnenthal FH, et al. High frequencies of functional tumor-reactive T cells in bone marrow and blood of pancreatic cancer patients. Cancer Res. 2005;65(21):10079–87.
Fukunaga A, et al. CD8+ tumor-infiltrating lymphocytes together with CD4+ tumor-infiltrating lymphocytes and dendritic cells improve the prognosis of patients with pancreatic adenocarcinoma. Pancreas. 2004;28(1):e26–31.
Kunk PR, et al. From bench to bedside a comprehensive review of pancreatic cancer immunotherapy. J Immunother Cancer. 2016;4:14.
Constantino J, et al. Antitumor dendritic cell-based vaccines: lessons from 20 years of clinical trials and future perspectives. Transl Res. 2016;168:74–95.
Yadav DK, de Lu C, Yadav RK. Vaccine therapy for pancreatic cancer: a battle against deadly cancer. Cancer Sci Ther. 2014;6:268–77.
Salman B, et al. Vaccine therapy for pancreatic cancer. Oncoimmunology. 2013;2(12):e26662.
Soares KC, et al. Vaccines for pancreatic cancer. Cancer J. 2012;18(6):642–52.
Palena C, et al. Cancer vaccines: preclinical studies and novel strategies. Adv Cancer Res. 2006;95:115–45.
Cheever MA, et al. The prioritization of cancer antigens: a national cancer institute pilot project for the acceleration of translational research. Clin Cancer Res. 2009;15(17):5323–37.
Kroemer G, Zitvogel L. Can the exome and the immunome converge on the design of efficient cancer vaccines? Oncoimmunology. 2012;1(5):579–80.
Gilboa E. The makings of a tumor rejection antigen. Immunity. 1999;11(3):263–70.
Castle JC, et al. Exploiting the mutanome for tumor vaccination. Cancer Res. 2012;72(5):1081–91.
Palucka K, Banchereau J. Cancer immunotherapy via dendritic cells. Nat Rev Cancer. 2012;12(4):265–77.
Small EJ, et al. Immunotherapy of hormone-refractory prostate cancer with antigen-loaded dendritic cells. J Clin Oncol. 2000;18(23):3894–903.
Kaufman HL, et al. Current status of granulocyte-macrophage colony-stimulating factor in the immunotherapy of melanoma. J Immunother Cancer. 2014;2:11.
Pol J, et al. Trial watch: immunogenic cell death inducers for anticancer chemotherapy. Oncoimmunology. 2015;4(4):e1008866.
Conroy T, et al. FOLFIRINOX versus gemcitabine for metastatic pancreatic cancer. N Engl J Med. 2011;364(19):1817–25.
Gourgou-Bourgade S, et al. Impact of FOLFIRINOX compared with gemcitabine on quality of life in patients with metastatic pancreatic cancer: results from the PRODIGE 4/ACCORD 11 randomized trial. J Clin Oncol. 2013;31(1):23–9.
Vacchelli E, et al. Current trends of anticancer immunochemotherapy. Oncoimmunology. 2013;2(6):e25396.
Galluzzi L, et al. Classification of current anticancer immunotherapies. Oncotarget. 2014;5(24):12472–508.
Lesterhuis WJ, et al. Platinum-based drugs disrupt STAT6-mediated suppression of immune responses against cancer in humans and mice. J Clin Invest. 2011;121(8):3100–8.
Pasquier E, Kavallaris M, Andre N. Metronomic chemotherapy: new rationale for new directions. Nat Rev Clin Oncol. 2010;7(8):455–65.
Ma Y, et al. Recent Advancements in Pancreatic Cancer Immunotherapy. Cancer Res Front. 2016;2(2):252–76.
Tempero MA, et al. Pancreatic adenocarcinoma, version 2.2014: featured updates to the NCCN guidelines. J Natl Compr Canc Netw. 2014;12(8):1083–93.
Andreatta M, Nielsen M. Gapped sequence alignment using artificial neural networks: application to the MHC class I system. Bioinformatics. 2016;32(4):511–7.
Nielsen M, et al. Reliable prediction of T-cell epitopes using neural networks with novel sequence representations. Protein Sci. 2003;12(5):1007–17.
Rammensee H, et al. SYFPEITHI: database for MHC ligands and peptide motifs. Immunogenetics. 1999;50(3–4):213–9.
Andreatta M, et al. Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification. Immunogenetics. 2015;67(11–12):641–50.
Schilbach K, et al. Cancer-targeted IL-12 controls human rhabdomyosarcoma by senescence induction and myogenic differentiation. Oncoimmunology. 2015;4(7):e1014760.
Van Coppernolle S, et al. Functionally mature CD4 and CD8 TCRαβ cells are generated in OP9-DL1 cultures from human CD34+ hematopoietic cells. J Immunol. 2009;183(8):4859–70.
Hernandez-Pigeon H, et al. Human keratinocytes acquire cellular cytotoxicity under UV-B irradiation. Implication of granzyme B and perforin. J Biol Chem. 2006;281(19):13525–32.
Miles JJ, Douek DC, Price DA. Bias in the αβ T-cell repertoire: implications for disease pathogenesis and vaccination. Immunol Cell Biol. 2011;89(3):375–87.
Zvyagin IV, et al. Tracking T-cell immune reconstitution after TCRαβ/CD19-depleted hematopoietic cells transplantation in children. Leukemia. 2017;31(5):1145–53.
Grant EP, et al. Molecular recognition of lipid antigens by T cell receptors. J Exp Med. 1999;189(1):195–205.
Klenerman P, Oxenius A. T cell responses to cytomegalovirus. Nat Rev Immunol. 2016;16(6):367–77.
Kumar R, et al. Increased sensitivity of antigen-experienced T cells through the enrichment of oligomeric T cell receptor complexes. Immunity. 2011;35(3):375–87.
Suzuki G, et al. Antigen-induced suppression of the proliferative response of T cell clones. J Immunol. 1988;140(5):1359–65.
Jenkins MK, et al. Inhibition of antigen-specific proliferation of type 1 murine T cell clones after stimulation with immobilized anti-CD3 monoclonal antibody. J Immunol. 1990;144(1):16–22.
Born WK, Aydintug MK, O’Brien RL. Diversity of γδ T-cell antigens. Cell Mol Immunol. 2013;10(1):13–20.
Born WK, et al. Peptide antigens for γ/δ T cells. Cell Mol Life Sci. 2011;68(14):2335–43.
Roark CE, et al. Response of a γδ+ T cell receptor invariant subset during bacterial infection. J Immunol. 1996;156(6):2214–20.
Takeuchi A, et al. CRTAM determines the CD4+ cytotoxic T lymphocyte lineage. J Exp Med. 2016;213(1):123–38.
Geginat J, Lanzavecchia A, Sallusto F. Proliferation and differentiation potential of human CD8+ memory T-cell subsets in response to antigen or homeostatic cytokines. Blood. 2003;101(11):4260–6.
Gazzola A, et al. The evolution of clonality testing in the diagnosis and monitoring of hematological malignancies. Ther Adv Hematol. 2014;5(2):35–47.
Miyai M, et al. Detection and tracking of NY-ESO-1-specific CD8+ T cells by high-throughput T cell receptor beta (TCRB) gene rearrangements sequencing in a peptide-vaccinated patient. PLoS ONE. 2015;10(8):e0136086.
Yamada A, et al. Next-generation peptide vaccines for advanced cancer. Cancer Sci. 2013;104(1):15–21.
Saglio F, Hanley PJ, Bollard CM. The time is now: moving toward virus-specific T cells after allogeneic hematopoietic stem cell transplantation as the standard of care. Cytotherapy. 2014;16(2):149–59.
Castano AR, et al. Peptide binding and presentation by mouse CD1. Science. 1995;269(5221):223–6.
Elliott JI. Selection of dual Vα T cells. Eur J Immunol. 1998;28(7):2115–23.
Casanova JL, et al. T cell receptor genes in a series of class I major histocompatibility complex-restricted cytotoxic T lymphocyte clones specific for a Plasmodium berghei nonapeptide: implications for T cell allelic exclusion and antigen-specific repertoire. J Exp Med. 1991;174(6):1371–83.
Padovan E, et al. Expression of two T cell receptor α chains: dual receptor T cells. Science. 1993;262(5132):422–4.
Heath WR, et al. Expression of two T cell receptor α chains on the surface of normal murine T cells. Eur J Immunol. 1995;25(6):1617–23.
Alam SM, Gascoigne NR. Posttranslational regulation of TCR Vα allelic exclusion during T cell differentiation. J Immunol. 1998;160(8):3883–90.
Davodeau F, et al. Dual T cell receptor β chain expression on human T lymphocytes. J Exp Med. 1995;181(4):1391–8.
Padovan E, et al. Normal T lymphocytes can express two different T cell receptor β chains: implications for the mechanism of allelic exclusion. J Exp Med. 1995;181(4):1587–91.
Gavin MA, Rudensky AY. Dual TCR T cells: gaining entry into the periphery. Nat Immunol. 2002;3(2):109–10.
Thor Straten P, et al. T-cell clonotypes in cancer. J Transl Med. 2004;2(1):11.
Ge Q, et al. Development of CD4+ T cells expressing a nominally MHC class I-restricted T cell receptor by two different mechanisms. Proc Natl Acad Sci USA. 2006;103(6):1822–7.
Badoual C, et al. PD-1-expressing tumor-infiltrating T cells are a favorable prognostic biomarker in HPV-associated head and neck cancer. Cancer Res. 2013;73(1):128–38.
Pundir S, Martin MJ, O’Donovan C. UniProt protein knowledgebase. Methods Mol Biol. 2017;1558:41–55.
KS isolated T cells from peripheral blood, cultivated, stimulated, cloned and analyzed T cells on molecular level and via FACS analysis, HH contributed to intracellular FACS analysis, and helped writing the manuscript, ME major contribution to format and clearness of the manuscript, MM, MS, DD, FB, SB performed NGS, analyzed NGS data, designed peptides, CC provided patient history, HL head of department Klinikum Garmisch/Partenkirchen, applied vaccine therapy, RH contributed to experimental design, KS concept of the study, wrote the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Consent for publication
Written consent for publication was obtained from the patients.
Ethics approval and consent to participate
The Institutional Review Board at the University Tuebingen Children´s Hospital approved the study, and informed consent had been obtained before the study.
KSo was supported by a grant provided by the Jürgen Manchot Foundation.HH was supported by a grant provided by the Stefan Morsch Foundation.
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Sonntag, K., Hashimoto, H., Eyrich, M. et al. Immune monitoring and TCR sequencing of CD4 T cells in a long term responsive patient with metastasized pancreatic ductal carcinoma treated with individualized, neoepitope-derived multipeptide vaccines: a case report. J Transl Med 16, 23 (2018) doi:10.1186/s12967-018-1382-1
- Pancreatic carcinoma
- Therapeutic vaccines
- Neoepitope-derived peptides
- T-cell responses
- CDR3 sequences