Literature DB >> 30109777

Efficacy of icotinib in advanced lung squamous cell carcinoma.

Shuai Liang1, Yan Xu1, Fenlai Tan2, Lieming Ding2, Yongbin Ma2, Mengzhao Wang1.   

Abstract

BACKGROUND: There are controversial data supporting the efficacy of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in patients with advanced lung squamous cell carcinoma (SCC). In this study, the efficacy of icotinib in unselected and EGFR-mutated patients with lung SCC was assessed.
METHODS: We retrospectively analyzed the survival time of unselected advanced lung SCC patients treated with icotinib for at least 5 months between June 2013 and June 2016, and selected appropriate EGFR-mutated advanced lung ADC patients to have 1:1 ratio of propensity score matching with EGFR-mutated advanced lung SCC patients, and matching factors were age, sex, clinical stage, Karnofsky performance status (KPS), smoking history, EGFR mutation type, and treatment lines.
RESULTS: A total of 487 unselected advanced lung SCC patients were available for analysis of icotinib treatment efficacy. The progression-free survival (PFS) was 13.0 months (95% CI 12.2-13.8), the overall survival (OS) was 16.0 months (95% CI 14.7-17.3), and the objective response rate (ORR) was 41.3%. After propensity score matching, 78 EGFR-mutated lung SCC and 78 EGFR-mutated lung ADC patients were selected and compared. Although no statistical difference was found, ADC patients were associated with a longer PFS (15.8 months vs 12.7 months, P = 0.275) and OS (24.2 months vs 18.5 months, P = 0.150), and a better ORR (59.0% vs 48.7%, P = 0.199) than compared with SCC patients when treated with icotinib.
CONCLUSION: Icotinib has a modest therapeutic effect in patients with advanced lung SCC, especially for the population with EGFR mutations.
© 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990EGFRzzm321990; EGFR-TKIs; adenocarcinoma; icotinib; squamous cell carcinoma

Mesh:

Substances:

Year:  2018        PMID: 30109777      PMCID: PMC6143949          DOI: 10.1002/cam4.1736

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.452


INTRODUCTION

Lung cancer is the leading cause of cancer‐related death worldwide.1 Non‐small‐cell lung cancer (NSCLC) constitutes approximately 80% of all lung cancers, and squamous cell carcinoma (SCC) is one of the major subtypes of NSCLC which accounts for approximately 20% to 30% of NSCLC.2 There are only a few treatment options for patients with lung SCC except chemotherapy. In recent decades, molecular targeted therapy has demonstrated clinical efficacy in cancer patients, such as epidermal growth factor receptor tyrosine kinase inhibitors (EGFR‐TKIs) for advanced NSCLC patients with EGFR mutations. EGFR‐TKIs had been proven to offer prolonged progression‐free survival (PFS) and better life quality than chemotherapy in advanced NSCLC patients with EGFR mutations in many clinical trials,3, 4, 5, 6, 7, 8, 9, 10 in which most of the patients were adenocarcinoma. However, the efficacy of EGFR‐TKIs in patients with lung SCC is limited, even in SCC patients with EGFR mutations. EGFR mutation testing was an essential part of standard care for lung cancer. Several societies have issued guidelines and consensus statements regarding EGFR mutation testing in patients with lung SCC. According to the American Society of Clinical Oncology (ASCO), none of the patients with NSCLC should be excluded from having the EGFR genetic testing performed if the patient is being considered for first‐line therapy with an EGFR‐TKI and the decision is physician‐driven.11 In Europe, the consensus of the European Society for Medical Oncology (ESMO) suggests that EGFR mutation testing should be performed in patients who are never/former light smokers and in patients with nonsquamous cell carcinoma.12 The consensus guideline from the College of American Pathologist (CAP), International Association for the Study of Lung Cancer (IASLC), and Association for Molecular Pathology (AMP) suggests EGFR mutation testing in lung ADC, in tumors where an ADC component cannot be excluded, and in cases, whose clinical criteria are unusual.13 The National Comprehensive Cancer Network (NCCN) guideline adopts the idea and suggests the consideration of EGFR mutation testing in lung SCC especially in never smokers, small biopsy specimens, or mixed histology.14 In summary, ASCO recommends EGFR mutation testing in all patients with SCC when EGFR‐TKIs are considered, but ESMO/ACP/IASLC/AMP/NCCN suggests it only in some specific conditions. In recent years, several prospective and retrospective studies have demonstrated that the frequency of EGFR mutations in patients with SCC was 3.9%‐17.2%, which was higher than expected.15, 16, 17 However, the efficacy of EGFR‐TKIs in EGFR‐mutated lung SCC is still controversial, and the tumor responses in SCC are much lower than ADC after EGFR‐TKIs treatment. Shukuya et al18 found the ORR in EGFR‐mutated lung SCC (n = 27) and ADC (n = 199) with gefitinib was 30% and 66%, respectively (P < 0.001). Wu et al19 found the objective response rate (ORR) in EGFR‐mutated nonadenocarcinoma (n = 9) and ADC (n = 161) with gefitinib or erlotinib was 22.2% and 69.6%, respectively (P = 0.003). Icotinib, an orally administered EGFR‐TKI with high selectivity, has been used widely in China. In a Phase 3 randomized head‐to‐head trial (ICOGEN),20 icotinib was clinical equivalent to gefitinib in patients with NSCLC. The efficacy of icotinib for patients with SCC is not well known. In this study, we decided to investigate the efficacy of icotinib in both unselected and EGFR‐mutated advanced lung SCC population

PATIENTS AND METHODS

SCC patients

Advanced unselected or EGFR‐mutated lung SCC patients treated with icotinib were retrospectively selected from expand access program (EAP) database of Betta Pharmaceuticals. The patients were from 230 lung cancer research centers between June 2013 and June 2016. The last follow‐up date was 1 April 2017. Baseline clinical characteristics including age, gender, smoking history, tumor histology, clinical stage, Karnofsky performance status (KPS), EGFR mutation status, and treatment lines were collected. The inclusion criteria were pathologically confirmed locally advanced stage IIIB or metastatic stage IV SCC of the lung after at least 5 months treatment of icotinib before charity period, because patients were from EAP database. The exclusion criteria were as follows: (a) icotinib used as adjuvant therapy; (b) icotinib combined with chemotherapy; and (c) data were incomplete. The institutional ethnic commitment board of the Peking Union Medical College Hospital approved the study. All patients provided written informed consent before participation in the charity project.

Matching adenocarcinoma patients

There were 289 EGFR‐mutated lung adenocarcinoma patients from EAP database of Betta Pharmaceuticals were selected to have 1:1 ratio of propensity score matching with EGFR‐mutated lung SCC patients. The propensity scores, which were calculated from the logistic regression models, included the following variables: age, gender, clinical stage, KPS, smoking history, EGFR mutation type, and treatment lines. Through the matching procedure for propensity scores, the EGFR‐mutated SCC and EGFR‐mutated ADC groups showed similar distributions of propensity scores, indicating that the differences in covariates between the two groups were minimized. We matched propensity scores one by one using nearest neighbor methods, no replacement, and 0.03 clipper width. Finally, we matched 78 patients from EGFR‐mutated SCC group and 78 patients from EGFR‐mutated ADC group.

Test method for EGFR mutations

Mutations in the tyrosine kinase domain of EGFR were identified using the amplification refractory mutation system (ARMS). DNA was extracted from patients’ fresh tissue or paraffin‐embedded tissue. Not all patients with lung SCC were included in the EGFR mutation analysis.

Clinical assessments

Patients received 125 mg oral icotinib three times per day, a treatment cycle is 28 days until intolerable toxicity disease progression or death. According to EAP program, first‐time tumor imaging and routine laboratory test were performed 4 weeks after therapy, repeated every 8 weeks. The objective tumor responses were evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST 1.1).21 Objective tumor responses included complete response (CR), partial response (PR), stable disease (SD), and progressive disease (PD). Disease control rate (DCR) was defined as the addition of objective response and stabilization. The PFS was calculated from the date of initiation of icotinib therapy to the date of tumor progression or any cause of death. The duration of overall survival (OS) was calculated from the date of initiation of icotinib therapy to the date of death.

Statistical methods

Demographic and clinical data are expressed as medians with ranges for continuous variables, and categorical variables are expressed as the means of absolute and percentage numbers. The PFS and OS are expressed as median values with two‐sided 95% confidence intervals (CIs) and were analyzed with the Kaplan‐Meier method. Log‐rank test was used to compare the difference between groups. For multivariate analysis, Cox regression was done to select significant prognostic variables for survival, of which age, gender, clinical stage, KPS, smoking history, and tumor response were analyzed as factors. Statistical significance was defined as P < 0.05. SPSS software, version 23 (SPSS Inc. Chicago, IL, USA) and GraphPad Prism 7.00 were used for all statistical analyses.

RESULTS

Patient characteristics

Overall, 518 unselected patients with advanced lung SCC were treated with icotinib from June 2013 to June 2016 in EAP database of Betta Pharmaceuticals, of which 31 did not meet the inclusion criteria and excluded, leaving 487 patients with lung SCC for analysis. EGFR mutation status was tested in 98 of 487 patients with lung SCC (20.1%) in our study, which was not random, and there were 79 SCC patients EGFR mutation positive. The most common types of EGFR mutations were exon 19 deletion (36 patients) and exon 21 L858R (26 patients), and other mutation types were exon 18 (2 patients), exon 20 (1 patient), exon 20,21 (1 patient), exon21 L861Q (1 patient), exon 21 L858R+T790M (1 patient), and positive (11 patients). A total of 78 ADC patients with EGFR mutations were selected to compare with EGFR‐mutated SCC patients. One SCC patient with EGFR mutations was not matched because of old age, poor performance status, and early clinical stage. A flowchart is shown in Figure 1. The characteristics (age, gender, clinical stage, KPS, smoking history, EGFR mutation type, and treatment lines) of all patients were well balanced among groups and are summarized in Table 1.
Figure 1

Flow diagram of patients studied. *Data cutoff date was April 1, 2017

Table 1

Patients demographic data and baseline characteristics

CharacteristicsBefore matchingAfter matching
Unselected SCC (n = 487) EGFR‐mutated SCC (n = 78) EGFR‐mutated ADC (n = 78) P
Age (y)
Median (range)64 (28‐91)63 (32‐83)64 (47‐85)0.422
<65 y249 (51.1%)44 (56.4%)39 (50.0%)
≥65 y238 (48.9%)34 (43.6%)39 (50.0%)
Gender
Male347 (71.3%)45 (57.7%)46 (59.0%)0.871
Female140 (28.7%)33 (42.3%)32 (41.0%)
Clinical stage
IIIB126 (25.9%)24 (30.8%)27 (34.6%)0.609
IV361 (74.1%)54 (69.2%)51 (65.4%)
KPS
60‐8030 (6.2%)2 (2.6%)3 (3.8%)1.000
≥80457 (93.8%)76 (97.4%)75 (96.2%)
Smoking history
Nonsmokers195 (40.0%)58 (74.4%)58 (74.4%)1.000
Smokers261 (53.6%)20 (25.6%)20 (25.6%)
Unknown31 (6.4%)0 (0%)0 (%)
EGFR mutation status
Mutated79 (80.6%)78 (100%)78 (100%)0.262
19 del 36 (45.6%)35 (44.9%)28 (35.9%)
L858R 26 (32.9%)26 (33.3%)36 (46.2%)
Othersa 17 (21.5%)17 (21.8%)14 (17.9%)
Wild type19 (19.4%)0 (0%)0 (%)
Treatment lines
First line30 (6.2%)10 (12.8%)12 (15.4%)0.792
Second line32 (6.6%)8 (10.3%)6 (7.7%)
Third line or more4 (0.8%)0 (0%)0 (%)
Unknown421 (86.4%)60 (76.9%)60 (76.9%)

ADC, adenocarcinoma; EGFR, epidermal growth factor receptor; SCC, squamous cell carcinoma.

P value: compare EGFR‐mutated SCC and EGFR‐mutated ADC patients.

Other mutation types: exon18/exon20/exon20,21/exon21 L861Q/T790M+exon 21 L858R/positive.

Flow diagram of patients studied. *Data cutoff date was April 1, 2017 Patients demographic data and baseline characteristics ADC, adenocarcinoma; EGFR, epidermal growth factor receptor; SCC, squamous cell carcinoma. P value: compare EGFR‐mutated SCC and EGFR‐mutated ADC patients. Other mutation types: exon18/exon20/exon20,21/exon21 L861Q/T790M+exon 21 L858R/positive.

Efficacy

The PFS for unselected lung SCC patients (n = 487) was 13.0 months (95% CI 12.2‐13.8), and OS was 16.0 months (95% CI 14.7‐17.3) (Figure 2A,B). Univariate analysis of unselected lung SCC patients PFS showed that patients with better KPS score and objective tumor response to icotinib had significant longer PFS (Figure 2C,E, Table 2), but in multivariate analysis, only objective tumor response had significant lower HR (Table 2). Both univariate analysis and multivariate analysis of unselected lung SCC patients OS demonstrated that better KPS score and objective tumor response to icotinib had significant better OS (Figure 2D,F; Table 2). Among EGFR‐mutated SCC (n = 78) and matching ADC (n = 78) patients, no significant difference in PFS and OS was found between the two groups (Figures 3A and 4A), although PFS and OS were slightly better in matching ADC patients than those in EGFR‐mutated SCC across subgroups such as age, gender, clinical stage, KPS, smoking history, and EGFR mutation type.
Figure 2

Kaplan‐Meier analysis of EGFR unselected lung SCC (A, B) progression‐free survival (PFS) and overall survival (OS) of unselected lung SCC; (C, D) PFS and OS of unselected lung SCC tumor response; (E, F) PFS and OS of unselected lung SCC KPS

Table 2

Univariate and multivariate survival analysis for unselected lung SCC patients

FactorCategoryPFSOS
UnivariateMultivariateUnivariateMultivariate
HR (95% CI) P HR (95% CI) P HR (95% CI) P HR (95% CI) P
Age<650.94 (0.77‐1.15)0.5340.99 (0.80‐1.23)0.9550.82 (0.66‐1.02)0.0720.87 (0.69‐1.11)0.259
≥65
GenderMale1.2 (0.96‐1.49)0.1151.17 (0.91‐1.50)0.2201.30 (1.03‐1.64)0.0391.20 (0.92‐1.57)0.186
Female
Clinical stageIIIB0.85 (0.68‐1.07)0.1870.84 (0.66‐1.08)0.1650.88 (0.69‐1.12)0.3060.88 (0.68‐1.15)0.344
IV
KPS60‐801.57 (0.97‐2.56)0.0241.50 (0.98‐2.30)0.0631.74 (1.03‐2.92)0.0071.69 (1.09‐2.60)0.018
≥80
Smoking historyNonsmokers0.96 (0.77‐1.19)0.6981.03 (0.82‐1.30)0.7890.86 (0.68‐1.09)0.2170.94 (0.73‐1.21)0.625
Smokers
Tumor responseORR0.68 (0.56‐0.83)<0.0010.68 (0.55‐0.85)0.0010.68 (0.55‐0.85)0.0010.70 (0.55‐0.88)0.003
Non‐ORR
Figure 3

EGFR‐mutated lung SCC and ADC progression‐free survival (A) EGFR‐mutated lung SCC and ADC PFS curve. (B) PFS subgroup analysis by independent review

Figure 4

EGFR‐mutated lung SCC and ADC overall survival (A) EGFR‐mutated lung SCC and ADC OS curve. (B) OS subgroup analysis by independent review

Kaplan‐Meier analysis of EGFR unselected lung SCC (A, B) progression‐free survival (PFS) and overall survival (OS) of unselected lung SCC; (C, D) PFS and OS of unselected lung SCC tumor response; (E, F) PFS and OS of unselected lung SCC KPS Univariate and multivariate survival analysis for unselected lung SCC patients EGFR‐mutated lung SCC and ADC progression‐free survival (A) EGFR‐mutated lung SCC and ADC PFS curve. (B) PFS subgroup analysis by independent review EGFR‐mutated lung SCC and ADC overall survival (A) EGFR‐mutated lung SCC and ADC OS curve. (B) OS subgroup analysis by independent review Among the 487 unselected lung SCC patients, 21 achieved CR, 180 achieved PR, 285 had SD, and 1 had PD. The ORR was 41.3% (201/487), and DCR was 99.8% (486/487). Among the 78 EGFR‐mutated SCC patients, 1 had CR, 37 achieved PR, and 40 had SD; among 78 EGFR‐mutated ADC patients, 4 achieved CR, 42 achieved PR, and 32 had SD. There was no significant difference in ORR between EGFR‐mutated SCC and ADC (48.7% vs 59.0%, P = 0.199). The incidence of adverse events of icotinib was low in all groups, and the most common adverse events were rash, diarrhea, and raised transaminase (Table 3).
Table 3

Most common adverse events

Unselected SCC (n = 487) EGFR‐mutated SCC (n = 78) EGFR‐mutated ADC (n = 78)
Rash17 (3.5%)1 (1.3%)3 (3.8%)
Diarrhea7 (1.4%)2 (2.6%)0 (0%)
Raised transaminase12 (2.5%)1 (1.3%)0 (0%)
Most common adverse events

DISCUSSION

EGFR mutation rate was low in lung SCC, and data of efficacy of EGFR‐TKIs for patients with lung SCC are limited. Some studies have argued that response to EGFR targeted therapies in SCC is contributed to pathological mis‐classification,22 and it is also increasingly being recognized that different mutation testing systems have different sensitivity variations for detection of EGFR mutations.23 In BR.21and SATURN clinical trials, subgroup analysis showed that treatment with EGFR‐TKIs was effective in patients with SCC.24, 25 A meta‐analysis demonstrated that EGFR‐TKIs prolonged PFS and OS (P = 0.004, P = 0.04) compared with placebo in unselected patients with advanced lung SCC.26 But more trials reported that EGFR‐TKIs were less effective in patients with SCC, even in EGFR‐mutated SCC patients. Hata et al27 found that the ORR was 9.7%, DCR was 43.9%, median PFS was 2.2 months (95% CI 1.0‐2.8), and median OS was 11.0 months (95% CI 5.7‐15.7) in unselected lung SCC (n = 41) treated with erlotinib. Tseng et al28 found the ORR was 17.4%, DCR was 27.2%, median PFS was 1.7 months (95% CI 1.4‐2.0), and median OS was 4.4 months (95% CI 2.8‐7.1) in unselected lung SCC (n = 92) treated with erlotinib. In our study, the ORR and DCR in unselected lung SCC (n = 487) were 41.3% and 99.8%, and the median PFS and OS were 13.0 months (95% CI 12.2‐13.8) and 16.0 months (95% CI 14.7‐17.3), respectively. The favorable efficacy of EGFR‐TKIs in our study should be considered in the context that these patients with SCC had nonprogressive disease after 5‐month treatment of icotinib, which enriched the responsive patients. The results in the present study showed that SCC patients with objective responses had better PFS and OS benefits than those without responses, suggesting that patients with lung SCC have a better tumor response to EGFR‐TKIs would have a better prognosis. Better PFS and OS benefits were also seen in unselected lung SCC patients with a KPS ≥80 compared with those with a KPS 60‐80. Performance status is an independent predictive factor of icotinib treatment outcome in unselected advanced lung SCC patients. This may provide a trend for clinician to choose EGFR‐TKIs treatment in patients with advanced lung SCC. ADC patients with sensitizing EGFR mutations may survival about 30 months. However, controversial efficacy of EGFR‐TKIs was seen in EGFR‐mutated SCC patients. The OPTIMAL trial demonstrated that erlotinib was associated with a better PFS benefit for patients with EGFR mutations than standard chemotherapy,7 irrespective of histologic type, whereas there were only 10 nonadenocarcinoma patients enrolled in the erlotinib group. In the pooled analysis of Shukuya et al,18 the median PFS in EGFR‐mutated SCC (n = 27) and ADC (n = 199) with gefitinib was 3.1 months vs 9.4 months (P = 0.0001), and the ORR was 30% vs 66%, respectively (P < 0.001). In the pooled analysis of Wu et al,19 the median OS in EGFR‐mutated nonadenocarcinoma (n = 9) and ADC (n = 161) with gefitinib or erlotinib was 2.3 months vs 18.1 months (P < 0.001), and the ORR was 22.2% vs 69.6%, respectively (P = 0.003). A retrospective matched‐pair case‐control study29 found EGFR‐mutated SCC (n = 44) and ADC (n = 44) patients with EGFR‐TKIs had similar ORR (43.2% vs 54.5%, P = 0.290), but patients with SCC had lower DCR (71.3% vs 100%, P = 0.001), significant shorter median PFS (5.1 vs 13.0 months, P = 0.000), and median OS (17.2 vs 23.6 months, P = 0.027). In summary, benefits of EGFR‐TKIs in EGFR‐mutated SCC patients are inferior to EGFR‐mutated ADC patients; however, unmatched EGFR‐mutated SCC and ADC patients may lead to bias, and the sample size of EGFR‐mutated SCC patients was very small. In this study, we collected 78 EGFR‐mutated SCC patients and matched with ADC patients to compare the efficacy of EGFR‐TKIs, and the results showed that median PFS in EGFR‐mutated SCC and ADC patients treated with icotinib was 12.7 months vs 15.8 months, median OS was 18.5 months vs 24.2 months, and the ORR was 48.7% vs 59.0%. No significant difference was detected between the two groups in PFS or OS. In recent years, there are several molecularly targeted agents, and immunotherapies have provided a new level of optimism for patients with lung SCC. Anti‐EGFR monoclonal antibodies (necitumumab30 and cetuximab31, 32, 33) in combination with standard chemotherapy significantly improved lung SCC patients’ survival time with an acceptable safety profile. The immune‐checkpoint inhibitors nivolumab34 and pembrolizumab35 have demonstrated durable tumor responses and encouraging survival improvements vs standard cytotoxic agents. The anti‐VEGFR2 antibody ramucirumab has been approved in combination with docetaxel for the second‐line treatment of NSCLC, including lung SCC, based on the Phase III REVEL trial.36 The ErbB‐family blocker afatinib has demonstrated clinical activity in patients with lung SCC.10, 37, 38 Afatinib significantly improved the PFS, OS, and DCR vs erlotinib in the LUX‐Lung 8 trial,39 leading to its approval for locally advanced or metastatic lung SCC who had progressed after platinum‐based chemotherapy. The future for the treatment of lung SCC is increasingly promising, and we look forward to further developments in the coming years. The results of the present study should be interpreted with the consideration of several limitations. The major limitation of this study was its retrospective nature, which had selection bias to a certain degree. Second, the small sample size in EGFR‐mutated SCC and ADC patients would affect the statistical analysis. Third, the present study could not obtain immunohistochemical results of all patients with SCC; therefore, we could not distinguish poorly differentiated adenocarcinoma. Some experts hold the view that some EGFR‐mutated SCC patients may also have a mixed ADC histology, and the sensitivity of EGFR‐TKIs in these patients might depend on the proportion of EGFR‐mutated ADC components in the whole tumor.40, 41 World Health Organization recommends immunohistochemistry not only for small biopsies/cytology, but also for resected specimens in certain settings such as solid ADC, nonkeratinization SCC, which guides the treatment.42 Furthermore, since the retrospective nature, the incidence of adverse events during the medication was lower than the actual situation. Prospective study with large sample was needed to over limitations mentioned above. In conclusion, icotinib has some effects in unselected and EGFR‐mutated SCC patients as in ADC patients, who had received at least 5 months of icotinib treatment. Icotinib should be considered as a potential treatment option for this patient population, and EGFR mutation test should be recommended in all patients with SCC.

ACKNOWLEDGMENTS

We acknowledge the Zhejiang Betta Pharmaceuticals at Hangzhou for providing medical records of study patients.

CONFLICT OF INTEREST

The authors declare no conflict of interest.
  42 in total

1.  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.

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Journal:  J Natl Compr Canc Netw       Date:  2017-04       Impact factor: 11.908

3.  Afatinib versus erlotinib as second-line treatment of patients with advanced squamous cell carcinoma of the lung (LUX-Lung 8): an open-label randomised controlled phase 3 trial.

Authors:  Jean-Charles Soria; Enriqueta Felip; Manuel Cobo; Shun Lu; Konstantinos Syrigos; Ki Hyeong Lee; Erdem Göker; Vassilis Georgoulias; Wei Li; Dolores Isla; Salih Z Guclu; Alessandro Morabito; Young J Min; Andrea Ardizzoni; Shirish M Gadgeel; Bushi Wang; Vikram K Chand; Glenwood D Goss
Journal:  Lancet Oncol       Date:  2015-07-05       Impact factor: 41.316

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Authors:  Jeng-Sen Tseng; Tsung-Ying Yang; Kun-Chieh Chen; Kuo-Hsuan Hsu; Hsuan-Yu Chen; Gee-Chen Chang
Journal:  Lung Cancer       Date:  2012-03-13       Impact factor: 5.705

5.  First-SIGNAL: first-line single-agent iressa versus gemcitabine and cisplatin trial in never-smokers with adenocarcinoma of the lung.

Authors:  Ji-Youn Han; Keunchil Park; Sang-We Kim; Dae Ho Lee; Hyae Young Kim; Heung Tae Kim; Myung Ju Ahn; Tak Yun; Jin Seok Ahn; Cheolwon Suh; Jung-Shin Lee; Sung Jin Yoon; Jong Hee Han; Jae Won Lee; Sook Jung Jo; Jin Soo Lee
Journal:  J Clin Oncol       Date:  2012-02-27       Impact factor: 44.544

6.  Meta-analysis of individual patient data from randomized trials of chemotherapy plus cetuximab as first-line treatment for advanced non-small cell lung cancer.

Authors:  Jean-Louis Pujol; Robert Pirker; Thomas J Lynch; Charles A Butts; Rafael Rosell; Frances A Shepherd; Johan Vansteenkiste; Kenneth J O'Byrne; Barbara de Blas; Jim Heighway; Anja von Heydebreck; Nick Thatcher
Journal:  Lung Cancer       Date:  2013-11-16       Impact factor: 5.705

7.  Gefitinib or chemotherapy for non-small-cell lung cancer with mutated EGFR.

Authors:  Makoto Maemondo; Akira Inoue; Kunihiko Kobayashi; Shunichi Sugawara; Satoshi Oizumi; Hiroshi Isobe; Akihiko Gemma; Masao Harada; Hirohisa Yoshizawa; Ichiro Kinoshita; Yuka Fujita; Shoji Okinaga; Haruto Hirano; Kozo Yoshimori; Toshiyuki Harada; Takashi Ogura; Masahiro Ando; Hitoshi Miyazawa; Tomoaki Tanaka; Yasuo Saijo; Koichi Hagiwara; Satoshi Morita; Toshihiro Nukiwa
Journal:  N Engl J Med       Date:  2010-06-24       Impact factor: 91.245

8.  Afatinib versus gefitinib as first-line treatment of patients with EGFR mutation-positive non-small-cell lung cancer (LUX-Lung 7): a phase 2B, open-label, randomised controlled trial.

Authors:  Keunchil Park; Eng-Huat Tan; Ken O'Byrne; Li Zhang; Michael Boyer; Tony Mok; Vera Hirsh; James Chih-Hsin Yang; Ki Hyeong Lee; Shun Lu; Yuankai Shi; Sang-We Kim; Janessa Laskin; Dong-Wan Kim; Catherine Dubos Arvis; Karl Kölbeck; Scott A Laurie; Chun-Ming Tsai; Mehdi Shahidi; Miyoung Kim; Dan Massey; Victoria Zazulina; Luis Paz-Ares
Journal:  Lancet Oncol       Date:  2016-04-12       Impact factor: 41.316

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Authors:  Roy S Herbst; Paul Baas; Dong-Wan Kim; Enriqueta Felip; José L Pérez-Gracia; Ji-Youn Han; Julian Molina; Joo-Hang Kim; Catherine Dubos Arvis; Myung-Ju Ahn; Margarita Majem; Mary J Fidler; Gilberto de Castro; Marcelo Garrido; Gregory M Lubiniecki; Yue Shentu; Ellie Im; Marisa Dolled-Filhart; Edward B Garon
Journal:  Lancet       Date:  2015-12-19       Impact factor: 79.321

10.  Nivolumab versus Docetaxel in Advanced Squamous-Cell Non-Small-Cell Lung Cancer.

Authors:  Julie Brahmer; Karen L Reckamp; Paul Baas; Lucio Crinò; Wilfried E E Eberhardt; Elena Poddubskaya; Scott Antonia; Adam Pluzanski; Everett E Vokes; Esther Holgado; David Waterhouse; Neal Ready; Justin Gainor; Osvaldo Arén Frontera; Libor Havel; Martin Steins; Marina C Garassino; Joachim G Aerts; Manuel Domine; Luis Paz-Ares; Martin Reck; Christine Baudelet; Christopher T Harbison; Brian Lestini; David R Spigel
Journal:  N Engl J Med       Date:  2015-05-31       Impact factor: 91.245

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  7 in total

1.  Clinical characterization of icotinib-induced chemoresistance in erlotinib-treated lung adenocarcinoma patient with EGFR mutations: A case report.

Authors:  Ka Wu; Chao Guo; Rong Li
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

2.  Larger tumors are associated with inferior progression-free survival of first-line EGFR-tyrosine kinase inhibitors and a lower abundance of EGFR mutation in patients with advanced non-small cell lung cancer.

Authors:  Yingying Pan; Guanghui Gao; Xiaoxia Chen; Qinrui Tian; Fengying Wu; Qian Liu; Yan Wang; Tao Jiang; Yiwei Liu; Xuefei Li; Shuo Yang; Chuan Xu; Chunxia Su; Fei Zhou; Shengxiang Ren; Caicun Zhou
Journal:  Thorac Cancer       Date:  2019-02-22       Impact factor: 3.500

3.  Validated UPLC-MS/MS method for quantification of fruquintinib in rat plasma and its application to pharmacokinetic study.

Authors:  Yi-Bin Mei; Shun-Bin Luo; Ling-Yan Ye; Qiang Zhang; Jing Guo; Xiang-Jun Qiu; Sai-Li Xie
Journal:  Drug Des Devel Ther       Date:  2019-08-15       Impact factor: 4.162

4.  NTCU induced pre-malignant and malignant stages of lung squamous cell carcinoma in mice model.

Authors:  Muhammad Asyaari Zakaria; Nor Fadilah Rajab; Eng Wee Chua; Gayathri Thevi Selvarajah; Siti Fathiah Masre
Journal:  Sci Rep       Date:  2021-11-18       Impact factor: 4.379

Review 5.  Signaling pathways and targeted therapies in lung squamous cell carcinoma: mechanisms and clinical trials.

Authors:  Zhenyi Niu; Runsen Jin; Yan Zhang; Hecheng Li
Journal:  Signal Transduct Target Ther       Date:  2022-10-05

6.  EGFR-Mutated Squamous Cell Lung Cancer and Its Association With Outcomes.

Authors:  Rui Jin; Ling Peng; Jiawei Shou; Jin Wang; Yin Jin; Fei Liang; Jing Zhao; Mengmeng Wu; Qin Li; Bin Zhang; Xiaoying Wu; Fen Lan; Lixia Xia; Junrong Yan; Yang Shao; Justin Stebbing; Huahao Shen; Wen Li; Yang Xia
Journal:  Front Oncol       Date:  2021-06-14       Impact factor: 6.244

7.  Efficacy of icotinib in advanced lung squamous cell carcinoma.

Authors:  Shuai Liang; Yan Xu; Fenlai Tan; Lieming Ding; Yongbin Ma; Mengzhao Wang
Journal:  Cancer Med       Date:  2018-08-14       Impact factor: 4.452

  7 in total

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