Skip to main content

Impact of epidermal growth factor receptor (EGFR) activating mutations and their targeted treatment in the prognosis of stage IV non-small cell lung cancer (NSCLC) patients harboring liver metastasis



Liver metastases appear in 20–30% of patients diagnosed with non-small cell lung cancer (NSCLC) and represent a poor prognosis feature of NSCLC and a possibly more treatment-resistant condition. Potential clinical outcome differences in NSCLC patients with liver metastases harboring molecular alterations in EGFR, KRAS and EML4-ALK genes are still to be determined. This study aims to evaluate the incidence of liver metastasis in a single population and look for potential correlations between EGFR mutations, liver infiltration and clinical outcomes.


A total of 236 consecutive stage IV NSCLC patients treated at the Clínica Universidad de Navarra were analyzed.


At onset, liver metastases were present in 16.9% of patients conferring them a shorter overall survival (OS) compared to those with different metastatic locations excluding liver infiltration (10 vs. 21 months; p = 0.001). Patients with EGFR wild-type tumors receiving standard chemotherapy and showing no liver involvement presented a superior median OS compared to those with liver metastases (23 vs. 13 months; p = 0.001). Conversely, patients with EGFR-mutated tumors treated with EGFR tyrosin-kinase inhibitors (TKI’s) presented no significant differences in OS regardless of liver involvement (median OS not reached vs. 25 months; p = 0.81).


Overall, liver metastases at onset negatively impact OS of NSCLC patients. EGFR TKIs however, may reverse the effects of an initial negative prognosis of liver metastasis in first-line treatment of EGFR mutated NSCLC patients.


More than 1,820,000 new cases of lung cancer were diagnosed in 2012 worldwide, leading to more than 1,500,000 annual deaths [1]. More than 50% of the patients diagnosed with non-small cell lung cancer (NSCLC) are expected to present advanced disease (stage III and IV) at onset associated with an overall survival (OS) barely exceeding 10–12 months from treatment initiation [2].

Although the most common site of metastases in stage IV NSCLC subjects is still to be determined [3], the organs most commonly colonized by primary non-small cell lung tumors are brain, bone, lung, adrenal glands, and liver.

It has been also postulated that those different metastatic locations may confer a diverse prognosis [3] and/or likelihood of disease response to the treatment [4].

In light of recent research on biological targets and the progressive development of new tailored therapies in NSCLC patients, there is a need to reassess the prognostic/predictive implications of different metastatic locations. Additionally, the recent development of new local (mainly ionizing radiation-based) therapies has contributed to the improved survival of patients with brain metastases [5], a metastatic location that has been traditionally known to entail a particularly poor prognosis [6].

Liver involvement appears in a range of 20–30% of NSCLC patients during the disease course conferring a significantly poorer prognosis to NSCLC at any stage of the disease since no local consolidation therapies are commonly used on a routine clinical practice [7].

Nevertheless, the impact different tumor histology and molecular characteristics may have on the spread of the disease to the liver is unknown. The current study aims to analyze the last consecutive stage IV NSCLC patients treated at our institution, paying special attention to the prevalence and outcome implications of liver metastases and correlated to the EGFR mutation status.

Patients and methods

Patients’ clinical and molecular characteristics

This study was designed as a retrospective analysis of a single cohort, reviewing and including the medical records of 236 histologically-confirmed stage IV NSCLC consecutive patients starting systemic antineoplastic treatment from 2006 to 2014. All patients signed informed consent before undergoing any diagnostic procedure leading to the obtention of tumor samples, or follow up imaging studies that required so. The only patient selection criterion applied was the availability of basic clinical information about the tumor histology confirmation, treatment administrated and at least 6 months follow-up.

All available characteristics including tumor histology and molecular features, the number of metastatic locations and organs affected were collected from patients’ medical charts. Overall, 236 consecutive NSCLC patients diagnosed with metastatic disease at the time of presentation were reviewed and included in the analysis. Main patients’ characteristics including their tumors’ histological patterns are summarized in Additional file 1: Table S1.

The molecular analysis performed on tumor samples included the assessment of Epidermal Growth Factor Receptor (EGFR) mutations in exons 18, 19, 20 and 21 and the assessment of Kristen Rat Sarcoma (KRAS) gene mutations in codons 12 and 13.

In brief, after the sample was fixed in alcohol and stained by Papanicolau stain, DNA was extracted and amplified via a PCR technique that uses EGFR gene exons 18, 19, 20 and 21 specific primers. ABI PRISM® 310 Genetic Analyzer equipment was used for the analysis of the sequencing reactions with both forward and reverse primers. Following the same process used for EGFR analysis, PCR was used for DNA amplification, using KRAS gene exon 2 primer. ABI PRISM® 310 Genetic Analyzer equipment was also used for the analysis of the sequencing reactions with both forward and reverse primers.

Smoking habits were also collected in accordance with the National Health Interview Survey (NHIS) for standard smoking definitions [8].

The protocol was approved by the Research Ethics Committee of the University of Navarra.

Outcome measures

Patients were regularly followed during treatment for clinical and radiological response assessment. Computerized tomography (CT) scans were performed every 6 weeks as per institutional standard protocol.

The best radiological response to treatment was reviewed according to Response Evaluation Criteria In Solid Tumors (RECIST v1.1).

OS was calculated and compared between different groups. OS was calculated from the date of diagnosis to the date of death, lost to follow up, or last contact with the patient.

Statistical analysis

To analyze the quantitative variables within the study population, a comparison was made using a Shapiro–Wilk test between the distribution of patients showing liver metastasis and those without liver involvement. Depending on the results of this test, either an unpaired 2-tailed Student’s t test or Mann Whitney test for parametric and non-parametric distribution, were used. A Chi2 test was also used to analyze the qualitative variables. OS was analyzed using the Kaplan–Meier (KM) method. A Log rank test or Taron Ware test was used to evaluate the differences among survival curves according to the curves’ distribution. We performed a multivariate regression model using Cox Regression method. A p value of <0.05 was considered statistically significant. Statistical analyses were conducted with the IBM SPPS statistical software package (v15.0 SPSS Inc. Chicago, IL).


Molecular analysis

An EGFR mutational study was available in 73.7% of the patients (n = 174). KRAS was also studied in 44% of the population (n = 104).

Molecular findings are reflected in Additional file 2: Table S2, including the specification of the mutations detected. EGFR mutational status according to the pattern of metastasis at onset and during disease curse is summarized in Additional file 3: Table S3.

Pattern of metastases

The most prevalent site of metastasis at onset corresponded to bone (94/236; 39.8%) followed by brain (75/236; 31.8%), adrenal glands (44/236; 18.6%), liver (40/236; 16.9%), bilateral lung lesions (25/236; 10.6%), pleural implants (19/236; 8.1%) and skin metastases (10/236; 4.2%). The final metastatic localization developed during treatment and follow-up was as follows, bone (49.2%), brain (42.8%), liver (39%), adrenal glands (28.4%), bilateral lung involvement (18.2%), pleural implants (11%) and skin metastases (7.2%).

Liver involvement implications on patients’ epidemiology

We divided our population in two groups, whether liver involvement was present or not. Both groups of patients were compared in order to detect potentially different clinical characteristics among those patients harboring liver metastases and those with NSCLC who had metastasized to different organs other than the liver. No significant differences in gender, age, ECOG performance status (PS) or smoking history were found to be correlated to liver involvement (Chi squared test, T test and Mann Witney test were used for categorical and quantitative variables; p = 0.62, p = 0.05; p = 0.35; p = 0.23, respectively). The total number of chemotherapy lines received was slightly higher among subjects without liver dissemination compared to those showing liver involvement (mean 2.41, 95% CI 2.1–2.7 vs. 1.84, CI 1.6–2.03, respectively; T test result: p = 0.001).

A higher proportion of tumors with adenocarcinoma histology among patients who were not exhibiting liver metastasis was observed (83.3 vs. 52.2%; Chi square test: p = 0.001), whereas large-cell carcinoma seemed to be significantly more frequent among patients with liver involvement (16.3 vs. 6.25%; Chi square test: p = 0.01). Patients with squamous cell histology tumors were slightly higher prevalent in the group with liver metastases compared to those without liver spread disease (16.3 vs. 9.7%; Chi square test: p = 0.09) although no statistical differences were observed.

Regardless of liver involvement, EGFR and KRAS status were equally balanced among patients, (Chi square test: p = 0.83 and p = 0.78, respectively).

As expected, the use of first-line EGFR TKIs was significantly related to the EGFR mutation status. In fact, while the first-line EGFR TKIs use among EGFR mutated patients was 56.7% (17/30), it was 2.1% (3/144) among EGFR wild type patients (Chi square test: p = 0.001). The use of EGFR TKIs as a second or subsequent line in patients with EGFR mutated tumors was 42.8% (12/30) compared to 19.8% (26/144) in subjects with EGFR wild type tumors (Chi square test: p = 0.008). However, their use did no differ from patients without liver metastases compared to those with secondary liver involvement (12.6 vs. 9.1%; Chi square test: p = 0.49).

Survival impact

As expected, a significant OS benefit was observed for patients with stage IV NSCLC showing no liver involvement at onset when compared to those exhibiting liver infiltration at the time of stage IV diagnosis [KM survival: 21 months (95% CI 16.9–25.1) vs. 10 months (95% CI 2.8–17.2); p = 0.001], (Fig. 1a). When taken into account the presence of LM at any time-point during the entire disease process, we found a shorter OS [14 months (95% CI 11.6–16.4)] in patients with liver disease, when compared to those patients in which liver was never affected [24 months (95% CI 18.6–29.3), p = 0.038], (Fig. 1b).

Fig. 1
figure 1

OS depending on the presence of LM at onset or during disease curse. a At onset, LM presence seems to be a poor prognosis factor detecting an OS of 10 months when LM are present (n = 40) compared to 21 months when no liver metastases are diagnosed at the moment of stage IV NSCLC diagnosis (n = 196). b A better overall survival is achieved in stage IV NSCLC patients who never present liver involvement (n = 144) compared to those patients in whom LM are present during the course of the disease (n = 86).

Additionally, a subanalysis was performed in order to study the impact of EGFR mutation status and the treatment with EGFR TKIs on the OS according to the presence or absence of liver involvement. Among patients with liver involvement, those with EGFR mutated tumors experienced a significantly superior OS compared to subjects with EGFR wild-type neoplasms [median OS not reached (95% CI not reached (N.R.)] vs. 13 months (95% CI 10.2–15.7), respectively; (HR = 0.06; p = 0.001) (Fig. 2a). Similarly, patients without liver involvement and EGFR mutated tumors showed a superior OS compared to those with EGFR wild type NSCLC [39 months (95% CI 20.2–57.8) vs. 23 months (95% CI 17.2–28.8); p = 0.047], (Fig. 2b).

Fig. 2
figure 2

OS depending on the EGFR status stratified by the presence of LM. a A subanalysis was performed selecting those patients with liver involvement. We observed a significant difference between those patients harboring EGFR mutations (n = 9) compared to those showing wild-type EGFR (n = 46). b When selecting patients with no liver involvement, we also observed a better outcome for those harboring EGFR mutation (n = 21) compared to those with EGFR wild type NSCLC (n = 98).

Subsequently, we analyzed the impact on the OS of the EGFR TKIs treatment in those patients with EFGR mutant tumors receiving first-line targeted therapy, according to the presence or absence of secondary liver involvement. On the one hand, when the OS analysis was restricted to EGFR wild-type NSCLC patients who received standard first-line chemotherapy, a clear benefit in OS was observed in favor of individuals without liver involvement compared to those patients with liver disease [23 months (95% CI 13.1–32.9) vs. 13 months (95% CI 8.1–17.9), respectively; p = 0.001]. In fact, those subjects showing liver involvement presented a 117% higher risk of death than patients with no liver involvement (HR = 2.17), (Fig. 3a). Interestingly enough and in contrast with our previous results, liver involvement lost its prognostic impact among patients with EGFR mutated tumors receiving first-line EGFR TKIs therapy. Thus, a non-statistically significant benefit in OS in subjects without liver metastases compared to those with liver involvement was observed [median OS not reached (95% CI N.R.) vs. 25 months (95% CI 15.8–34.1); p = 0.81], (Fig. 3b).

Fig. 3
figure 3

OS in patients with LM depending on EGFR status. a EGFR wild-type NSCLC patients who received standard first-line chemotherapy presented a clear benefit in terms of OS when liver was not involved (n = 96) compared to those patients with LM (n = 45). b No differences were observed in EGFR mutated population receiving first line TKI in terms of OS when comparing patients with no LM (n = 13) with patients with liver involvement (n = 4).

Finally, a Cox regression model was performed for assessing prognostic factors in terms of OS for the population in which EGFR mutation status had been studied (n = 174). In the univariate analysis, nodal involvement (HR = 1.29, p = 0.02), EGFR mutation (HR = 0.31, p = 0.01), use of EGFR TKIs after progression (HR = 0.4, p = 0.03), liver metastases at onset localized in liver (HR = 2.25, p = 0.001), bone (HR = 2.13, p = 0.001), adrenal glands (HR = 1.75, p = 0.03) and skin (HR = 4.67, p = 0.03) constituted factors related to OS. Also, the appearance of metastases in the liver (HR = 1.48, p = 0.04) and in the bone (HR = 1.93, p = 0.01) during the disease curse were also related to a poorer outcome (Additional file 4: Table S4). After introducing these variables in a multivariate analysis, metastatic localization, including liver involvement, lost its prognostic value when adjusted by EGFR mutations and TKIs use. In fact, the presence of EGFR mutations (HR = 0.24, p = 0.001) and the use of EGFR TKIs after progression to chemotherapy (HR = 0.44, p = 0.03), were independently related to a better survival in stage IV NSCLC, (Additional file 5: Tables S5).


It is known that the development of liver metastasis confers a poor prognosis to NSCLC patients, since no local treatments are still widely used to specifically target liver involvement in unselected patients [9, 10].

The first interesting finding in our study is that although liver involvement was present in only 16.3% of the patients at onset, the liver became the third most frequent site of metastasis during the course of the disease, closely following bone and brain locations and in accordance with previous reports [3].

More interestingly, we confirm that subjects with liver infiltration are among those who significantly obtain less clinical benefit from chemotherapy administration. Therefore, liver involvement seems to be a poor prognostic feature with a significantly reduced survival expectation compared to other patients with metastatic disease who never develop liver metastasis, as previously reported [4]. Moreover, brain metastasis seemed to provide even a better prognosis to the rest of the patients compared to liver involvement, most probably because in our clinical cohort all patients with brain metastasis were locally treated with either whole brain irradiation or stereotactic body radiation therapy.

Furthermore, we found that the tumor genotype seemed to correlate with the pattern of metastasis observed. A previous study by Doebele et al. [11] showed that NSCLC patients with EGFR mutations were significantly predisposed to liver metastasis compared to the triple negative cohort. In contrast, in our series EGFR mutant patients did not seem to be more prone to developing liver metastasis compared to EGFR wild type patients. Potential different characteristics in our population, in which for example ALK rearrangement was not studied, may explain the differences detected compared to the study by Doebele el al.

It has been extensively demonstrated that NSCLC patients with EGFR mutated tumors clinically benefit from receiving a first-line treatment with an EGFR TKI, such as erlotinib [12], gefitinib [13] or afatinib [14] reaching a median progression free survival of around 10 months and an OS superior to 22 months in most of the published clinical trials [1315]. However, in those clinical trials no specific subanalysis showing the clinical outcome of patients with liver metastasis has been reported.

Therefore, in the present study we aimed to investigate whether the molecular tumor subtype influenced the clinical outcome of NSCLC patients with liver involvement, and more importantly, by the targeted therapy received.

For the first time in the literature, we found that the OS of subjects with liver involvement does not significantly differ from that of those with different metastatic locations other than the liver, when considering the subpopulation of patients with EGFR-mutated tumors treated with a first-line EGFR TKI. In contrast to what it is observed in EGFR wild-type patients receiving standard chemotherapy. This finding would suggest that the sensitivity to EGFR targeted therapies in EGFR mutant NSCLC patients is not compromised in any way by the specific location of the metastasis. On the other hand, this observation could be well explained by the fact that chemotherapy induces lower response rates and requires more time to produce a clinically relevant response in EGFR wild type patients compared to EGFR TKIs in subjects with mutated tumors. In that case, liver infiltration would cause a faster clinical deterioration and a rapid worsening of the patient’s performance status with a subsequent earlier discontinuation of active treatment. In fact, the total number of chemotherapy lines received was significantly higher among subjects without liver dissemination compared to those showing liver involvement. In contrast, the early clinical and radiological response commonly seen among NSCLC patients with tumors harboring EGFR activating mutations who receive EGFR TKIs would contribute to a rapid improvement in the patient’s clinical condition and PS, allowing those patients to continue treatment for longer periods benefiting more extensively from therapy.

Some early clinical data have shown that EFGR TKIs gefitinib and erlotinib are mainly metabolized in the liver. Liver dysfunction may contribute to an overexposure to the drug [1618]. Therefore, it could be hypothesized that the overexposure to the drug may lead to a potentially higher efficacy of EGFR TKIs among patients with liver dysfunction resulting from liver metastases.

The retrospective nature of this study and some lacking data are potential limitations for the present study. More specifically, in the subgroup analysis of EGFR mutated tumors in patients receiving first-line EGFR TKIs with regards to liver involvement. Nevertheless, the total number of patients analyzed and the results obtained therein warrant a thorough analysis of previous prospective trials in order to identify potential differences in survival that may result from the metastatic locations and the molecular profile of the tumors.


Subjects with NSCLC and liver infiltration present an overall poorer prognosis obtaining less clinical benefit from chemotherapy administration. Conversely, the OS of subjects with liver involvement did not significantly differ from those with other metastatic locations when considering the subpopulation of patients with EGFR mutations harboring tumors treated with a first-line EGFR TKI.



confidence interval


computerized tomography


deoxyribonucleic acid


Eastern Cooperative Oncology Group


epidermal growth factor receptor


fluorescence in situ hybridization


hazard ratio


not reached


National Health Interview Survey


not otherwise specified


non-small cell lung cancer


overall survival


progression free survival


polymerase chain reaction


performance status


response evaluation criteria in solid tumors


Kristen rat sarcoma (GTPase)


stereotactic body radiation therapy


tyrosine kinase inhibitor


whole brain irradiation


  1. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M et al (2015) Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 136(5):E359–E386

    Article  CAS  PubMed  Google Scholar 

  2. Ponz-Sarvise M, Nguewa PA, Pajares MJ, Agorreta J, Lozano MD, Redrado M et al (2011) Inhibitor of differentiation-1 as a novel prognostic factor in NSCLC patients with adenocarcinoma histology and its potential contribution to therapy resistance. Clin Cancer Res 17:4155–4166

    Article  CAS  PubMed  Google Scholar 

  3. Paralkar VR, Li T, Langer CJ (2008) Population characteristics and prognostic factors in metastatic non-small-cell lung cancer: a Fox Chase Cancer Center retrospective. Clin Lung Cancer 9:116–121

    Article  PubMed  Google Scholar 

  4. Hoang T, Dahlberg SE, Sandler AB, Brahmer JR, Schiller JH, Johnson DH (2012) Prognostic models to predict survival in non-small-cell lung cancer patients treated with first-line paclitaxel and carboplatin with or without bevacizumab. J Thorac Oncol 7:1361–1368

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  5. Ma LH, Li G, Zhang HW, Wang ZY, Dang J, Zhang S et al (2012) Hypofractionated stereotactic radiotherapy with or without whole-brain radiotherapy for patients with newly diagnosed brain metastases from non-small cell lung cancer. J Neurosurg 117(Suppl):49–56

    PubMed  Google Scholar 

  6. Chang DB, Yang PC, Luh KT, Kuo SH, Hong RL, Lee LN et al (1992) Late survival of non-small cell lung cancer patients with brain metastases. Influence of treatment. Chest 101:1293–1297

    Article  CAS  PubMed  Google Scholar 

  7. Hoang T, Xu R, Schiller JH, Bonomi P, Johnson DH (2005) Clinical model to predict survival in chemonaive patients with advanced non-small-cell lung cancer treated with third-generation chemotherapy regimens based on eastern cooperative oncology group data. J Clin Oncol 23:175–183

    Article  CAS  PubMed  Google Scholar 

  8. Ryan H, Trosclair A, Gfroerer J (2012) Adult current smoking: differences in definitions and prevalence estimates–NHIS and NSDUH, 2008. J Environ Public Health 2012:918368

    Article  PubMed Central  PubMed  Google Scholar 

  9. Ileana E, Greillier L, Moutardier V, Barlesi F (2010) Surgical resection of liver non-small cell lung cancer metastasis: a dual weapon? Lung Cancer 70:221–222

    Article  PubMed  Google Scholar 

  10. Mordant P, Arame A, De DF, Pricopi C, Foucault C, Dujon A et al (2012) Which metastasis management allows long-term survival of synchronous solitary M1b non-small cell lung cancer? Eur J Cardiothorac Surg 41:617–622

    Article  PubMed  Google Scholar 

  11. Doebele RC, Lu X, Sumey C, Maxson DA, Weickhardt AJ, Oton AB et al (2012) Oncogene status predicts patterns of metastatic spread in treatment-naive nonsmall cell lung cancer. Cancer 118:4502–4511

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  12. Rosell R, Carcereny E, Gervais R, Vergnenegre A, Massuti B, Felip E et al (2012) Erlotinib versus standard chemotherapy as first-line treatment for European patients with advanced EGFR mutation-positive non-small-cell lung cancer (EURTAC): a multicentre, open-label, randomised phase 3 trial. Lancet Oncol 13:239–246

    Article  CAS  PubMed  Google Scholar 

  13. Maemondo M, Inoue A, Kobayashi K, Sugawara S, Oizumi S, Isobe H et al (2010) Gefitinib or chemotherapy for non-small-cell lung cancer with mutated EGFR. N Engl J Med 362:2380–2388

    Article  CAS  PubMed  Google Scholar 

  14. Sequist LV, Yang JC, Yamamoto N, O’Byrne K, Hirsh V, Mok T et al (2013) Phase III study of afatinib or cisplatin plus pemetrexed in patients with metastatic lung adenocarcinoma with EGFR mutations. J Clin Oncol 31:3327–3334

    Article  CAS  PubMed  Google Scholar 

  15. Costa C, Molina MA, Drozdowskyj A, Giménez-Capitán A, Bertran-Alamillo J, Karachaliou N et al (2014) The impact of EGFR T790M mutations and BIM mRNA expression on outcome in patients with EGFR-mutant NSCLC treated with erlotinib or chemotherapy in the randomized phase III EURTAC trial. Clin Cancer Res 20:2001–2010

    Article  CAS  PubMed  Google Scholar 

  16. O’Bryant CL, Haluska P, Rosen L, Ramanathan RK, Venugopal B, Leong S et al (2012) An open-label study to describe pharmacokinetic parameters of erlotinib in patients with advanced solid tumors with adequate and moderately impaired hepatic function. Cancer Chemother Pharmacol 69:605–612

    Article  PubMed  Google Scholar 

  17. Miller AA, Murry DJ, Owzar K, Hollis DR, Lewis LD, Kindler HL et al (2007) Phase I and pharmacokinetic study of erlotinib for solid tumors in patients with hepatic or renal dysfunction: CALGB 60101. J Clin Oncol 25:3055–3060

    Article  CAS  PubMed  Google Scholar 

  18. Li J, Zhao M, He P, Hidalgo M, Baker SD (2007) Differential metabolism of gefitinib and erlotinib by human cytochrome P450 enzymes. Clin Cancer Res 13:3731–3737

    Article  CAS  PubMed  Google Scholar 

Download references

Authors’ contributions

EC selected the patients’ population, reviewed the clinical charts, performed part of the statistical analysis, interpreted the results and drafted the manuscript. CR participated in the design of the study and drafted the manuscript. DV reviewed the clinical charts and performed part of the statistical analysis. IL carried out the molecular genetic studies. JPF, MS, PM and LZ assessed radiological response to the treatment in each patient and addressed progression-free survival and overall survival. JIE selected the tumor samples for the molecular genetic studies. IGB conceived the study, and participated in its design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.


This work has been funded by UTE project CIMA, by a Grant (ISCIII-PI11/00976) from Spanish Ministry of Science and Innovation and by a Grant (RD12/0036/0040) from Red Temática de Investigación Cooperativa en Cáncer, Instituto de Salud Carlos III, Spanish Ministry of Economy and Competitiveness and European Regional Development Fund “Una manera de hacer Europa”.

This work has been partially presented at the European Cancer Congress (ECCO-ESMO-ESTRO) in Amsterdam (The Netherlands), 2013.

Compliance with ethical guidelines

Competing interests The authors declare that they have no competing interests.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Ignacio Gil-Bazo.

Additional files

Additional file 1:

Table S1. Patients’ features at the moment of enrollment in the study depending on the presence or absence of liver metastases.

Additional file 2:

Table S2. Molecular findings in our clinical series. EGFR (Epidermal Growth Factor Receptor), KRAS (Kristen Rat sarcoma).

Additional file 3:

Table S3. Metastatic location depending on EGFR (Epidermal Growth Factor Receptor) status.

Additional file 4:

Table S4. Univariate Regression Model for predicting OS (overall survival) in our clinical series.

Additional file 5:

Table S5. Multivariate regression model for predicting OS (overall survival) in our clinical series.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Castañón, E., Rolfo, C., Viñal, D. et al. Impact of epidermal growth factor receptor (EGFR) activating mutations and their targeted treatment in the prognosis of stage IV non-small cell lung cancer (NSCLC) patients harboring liver metastasis. J Transl Med 13, 257 (2015).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: