Literature DB >> 29483958

Impact of Weight Loss at Presentation on Survival in Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors (EGFR-TKI) Sensitive Mutant Advanced Non-small Cell Lung Cancer (NSCLC) Treated with First-line EGFR-TKI.

Liping Lin1,2, Juanjuan Zhao3, Jiazhu Hu1,2, Fuxi Huang1,2, Jianjun Han1,2, Yan He1,2, Xiaolong Cao1,2.   

Abstract

Purpose The aim of this study is to evaluate the impact of weight loss at presentation on treatment outcomes of first-line EGFR-tyrosine kinase inhibitors (EGFR-TKI) in EGFR-TKI sensitive mutant NSCLC patients. Methods We retrospectively analyzed the clinical outcomes of 75 consecutive advanced NSCLC patients with EGFR-TKI sensitive mutations (exon 19 deletion or exon 21 L858R) received first-line gefitinib or erlotinib therapy according to weight loss status at presentation in our single center. Results Of 75 EGFR-TKI sensitive mutant NSCLC patients, 49 (65.3%) patients had no weight loss and 26 (34.7%) had weight loss at presentation, the objective response rate (ORR) to EGFR-TKI treatment were similar between the two groups (79.6% vs. 76.9%, p = 0.533). Patients without weight loss at presentation had significantly longer median progression free survival (PFS) (12.4 months vs. 7.6 months; hazard ratio [HR] 0.356, 95% confidence interval [CI] 0.212-0.596, p < 0.001) and overall survival (OS) (28.5 months vs. 20.7 months; HR 0.408, 95% CI 0.215-0.776, p = 0.006) than those with weight loss at presentation; moreover, the stratified analysis by EGFR-TKI sensitive mutation types also found similar trend between these two groups except for OS in EGFR exon 21 L858R mutation patients. Multivariate analysis identified weight loss at presentation and EGFR-TKI sensitive mutation types were independent predictive factors for PFS and OS. Conclusions Weight loss at presentation had a detrimental impact on PFS and OS in EGFR-TKI sensitive mutant advanced NSCLC patients treated with first-line EGFR-TKI. It should be considered as an important factor in the treatment decision or designing of EGFR-TKI clinical trials.

Entities:  

Keywords:  EGFR mutation; EGFR-tyrosine kinase inhibitors; Weight loss; non-small cell lung cancer

Year:  2018        PMID: 29483958      PMCID: PMC5820920          DOI: 10.7150/jca.22378

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


Introduction

Lung cancer is still the leading cause of cancer-related death worldwide 1. Approximately 80%-85% of cases are NSCLC, whereas around 40%-60% of patients are diagnosed with advanced disease 2. In the era of cytotoxic chemotherapy, the outcomes of these patients are very poor, with the median OS was no more than 12 months 3. Fortunately, with the introduction of EGFR-TKI and the discovery of EGFR-TKI sensitive mutations (EGFR exon 19 deletion or exon 21 L858R mutations), the OS of advanced EGFR-TKI sensitive mutant NSCLC patients have been improved greatly, and EGFR-TKI has replace cytotoxic chemotherapy as standard first-line treatment for these patients 4-6. However, it isn't all EGFR-TKI sensitive mutant NSCLC patients can have prolonged survival from EGFR-TKI treatment. Although the median PFS of EGFR-TKI treatment was about 9-10 months, it had a very wide range from 2 to 73 months, and there was also a similar result on OS with various ranges 7, 8. These findings suggest the clinical outcomes among EGFR-TKI sensitive mutant NSCLC patients are heterogeneous, yet the clinical factors affecting these are unclearly. Weight loss at presentation is a common clinical factor in advanced NSCLC. It happened in 54% of NSCLC patients and is essentially because of an imbalance between energy intake and expenditure, which may be caused by tumor related factors, such as anorexia, nausea and vomiting, diarrhea, pain and so on 9. There has convincing evidences that weight loss is an independent poorer prognostic factor in NSCLC 10, 11. Besides the effect on survival, it is also an adverse factor on response to chemotherapy and quality of life 12. Based on these results, we hypothesized that weight loss at presentation may had a detrimental impact on survival in EGFR activating mutant advanced NSCLC patients treated with first-line EGFR-TKI, and the patients with weight loss at presentation would exhibit poorer outcomes than those without weight loss. Therefore, to investigate the impact of weight loss at presentation on survival of first-line EGFR-TKI therapy in EGFR-TKI sensitive mutant NSCLC patients, we retrospectively analyzed the clinical outcomes to first-line EGFR-TKI treatment in advanced NSCLC patients with EGFR-TKI sensitive mutations according to patients' weight loss status at presentation in our single center.

Material and Methods

Patients

This retrospective study was approved by the institutional ethics committee of Guangzhou Panyu Central Hospital. A cohort of all consecutive advanced NSCLC patients with EGFR-TKI sensitive mutations treated with first-line EGFR-TKI from January 2011 to April 2015 at department of oncology of Guangzhou Panyu Central Hospital were enrolled in. The inclusion criteria as follows: histologically or cytologically confirmed NSCLC; stage IIIB or IV according to 7th edition tumor/node/metastasis (TNM) system; harbor EGFR exon 19 deletion or exon 21 L858R mutations; treatment with first-line gefitinib (250 mg /day orally) or erlotinib (150 mg /day orally); has at least one measurable target lesions; PS ≤3. Exclusion criteria included: harbor uncommon EGFR mutations; presence of another cancer; accompanied by chemotherapy; received irradiation to target lesions before progression; had a cessation for taking medicine more than two weeks during treatment. We divided the included patients into two groups according to with or without weight loss at presentation.

Weight measurement and definition of weight loss

Patients' weight were measured at the time of diagnosis, and weight loss was defined as a weight loss more than 5% in 3 months before diagnosis, which was in accordance with the international consensus on definition and classification of cancer cachexia 13.

EGFR mutation analysis

EGFR mutations were detected using real-time polymerase chain reaction (PCR). Our previous research had described the details of the methods 14.

Clinical efficacy assessment

Organ functions in baseline were evaluated before EGFR-TKI treatment for every patient. All patients were eligible for receiving first-line gefitinib or erlotinib therapy, which were continued to disease progression, unacceptable toxicities or deaths. Physical examination, chest radiography, computed tomography (CT) scan or /and magnetic resonance image (MRI) were used to evaluate target and non-target lesions for all patients. The first response evaluation was done after 1 month of treatment and then every 2 months in follow-up. Tumor responses were classified according to the Response Evaluation Criteria in Solid Tumors (version 1.1) 15.

Statistical analysis

Statistical analyses for comparisons between groups were performed using the chi-squared test or Fisher's exact test for qualitative variables, and Student's t-test or the Mann-Whitney test for continuous variables. Reverse Kaplan-Meier estimate was used to calculate median follow-up. PFS (defined as the date of EGFR-TKI treatment to disease progression or death from any cause) and OS (defined as the date of EGFR-TKI treatment to the date of death from any cause or the last visit before April 30, 2017, censored at the date of last follow up) on entire population and stratified by EGFR-TKI sensitive mutation types (exon 19 deletion or exon 21 L858R mutation) were analyzed using Cox proportional hazards regression model and presented as Kaplan-Meier estimates with hazard ratio (HR) and 95% confidence interval (CI). A Cox multivariate regression analysis was done on PFS and OS, and covariates included brain metastasis, age, sex, PS, smoking status, with or without weight loss at presentation, EGFR-TKI sensitive mutation types (19 deletion vs. 21 L858R), types of EGFR-TKI (erlotinib or gefitinib), and second-line treatments (no vs. yes). Statistical significance was set at 5%. All tests were two-sided and analyses were carried out with SPSS software, version 17.0 (SPSS Inc., Chicago, IL, USA).

Results

Patient Characteristics

A total of 75 advanced NSCLC patients with EGFR exon 19 deletion or exon 21 L858R mutation treated with first-line gefitinib or erlotinib were identified. Among 75 patients, the median age was 59 (range: 23-90) years, 52 (69.3%) were never-smokers, 41 (54.7%) were women and 66 (88.0%) were adenocarcinoma. The majority of the patients were PS 0-1 (63 patients, 84%) and stage IV disease (73 patients, 97.3%). Furthermore, 42 (56.0%) and 33 (44.0%) patients harbored EGFR exon 19 deletion and exon 21 L858R mutation, respectively. The patient characteristics stratified by weight loss status at presentation are detailed in table 1. Patients' PS were worsen in with weight loss group than without weight loss group (p = 0.002).
Table 1

Patients clinical characteristics according to weight loss status

Clinical characteristicsWithout weight loss(n=49) (%)With weight loss(n=26) (%)P-value
Median age(range), years 59 (37-83)57 (23-90)0.570
Age, years
<6535 (71.4)18 (69.2)0.842
≥ 6514 (28.6)8 (30.8)
Sex
Male21 (42.9)13 (50.0)0.554
Female28 (57.1)13 (50.0)
Smoking status
No37 (75.5)15 (57.7)0.111
Yes12 (24.5)11 (42.3)
Stage
IIIB2 (4.1)0 (0.0)0.296
IV47 (95.9)26 (100.0)
Performance status
0 -146 (93.9)17 (65.4)0.002
23 (6.1)8 (30.8)
30 (0.0)1 ( 3.8)
Histopathological types
Adenocarcinoma43 (87.8)23 (88.5)0.528
Squamous cell carcinoma1 (2.9)2 (7.7)
Adenosquamous carcinoma1 (2.0)0 (0.0)
Not other special, NOS4 (8.2)1 (3.8)
EGFR-TKI sensitive mutation types
Exon 19 deletion26 (53.1)16 (61.5)0.482
Exon 21 L858R23 (46.9)10 (38.5)
Types of EGFR-TKI
Gefitinib40 (81.6)22 (84.6)0.745
Erlotinib9 (18.4)4 (15.4)
Brain metastasis
Yes13 (26.5)6 (23.1)0.743
No36 (73.5)20 (76.9)

Response to EGFR-TKI

The tumor responses to EGFR-TKI treatment are shown in table 2. One (1.3%) and 58 (77.3%) of 75 patients showed complete response (CR) and partial response (PR), respectively. Of the 49 patients without weight loss at presentation, 39 (79.6%) showed PR. On the other hand, CR and PR were observed in 1 (3.8%) and 19 (73.1%) of 26 patients with weight loss. Thus, the response rate to EGFR-TKI treatment were similar between two groups (p = 0.533).
Table 2

Response according to weight loss status

ResponseOverall patients(n=75) (%)Without weight loss (n=49) (%)With weight loss(n=26) (%)
Complete response1 (1.3%)0 (0.0%)1 (3.8%)
Partial response58 (77.3)39 (79.6%)19 (73.1%)
Stable disease14 (18.7%)9 (18.4%)5 (19.2%)
Progression disease2 (2.7%)1 (2.0%)1 (3.8%)

Effect of weight loss at presentation on PFS and OS

The median follow-up time was 20.8 (range: 6.6-63.6) months. The median PFS for whole population was 10.3 months (95% CI: 9.0-11.6). Patients without weight loss at presentation had a significantly longer PFS than those with weight loss at presentation (12.4 [95% CI 10.2-14.6] months vs. 7.6 [95% CI 5.7-9.5] months; HR: 0.356, 95% CI 0.212-0.596, p<0.001) (Figure 1a). The stratified analysis by EGFR-TKI sensitive mutation types also found patients without weight loss had significantly longer PFS than those with weight loss, regardless of EGFR exon 19 deletion (15.3 [95% CI 13.2-17.4] months vs. 7.9 [95% CI 6.7-9.0] months; HR: 0.273, 95% CI 0.133-0.557, p<0.001) (Figure 1b) or EGFR exon 21 L858R mutation (9.8 [95% CI 8.1-11.5] months vs. 4.0 [95% CI 3.5-4.5] months; HR: 0.402, 95% CI 0.185-0.874, p = 0.021) (Figure 1c). In multivariate analysis, with or without weight loss at presentation (p<0.001) and EGFR-TKI sensitive mutation types (p<0.001) were identified as independent predictors of PFS ( table 3).
Figure 1

Kaplan-Meier curve for progression free survival according to patients' weight loss status at presentation: a. overall population, b. EGFR exon 19 deletion population, c. EGFR exon 21 L858R mutation population.

Table 3

Predictors of PFS analyzed by the Cox regression model

VariableUnivariate analysisMultivariate analysis
HR (95% CI)P- valueHR (95% CI)P- value
Weight loss status (without weight loss vs. with weight loss)0.356 (0.212-0.596)< 0.0010.315 (0.180-0.553)< 0.001
Age (< 65 vs. ≥ 65 years)0.745 (0.447-1.241)0.2581.406 (0.810-2.441)0.226
Sex (male vs. female)1.642 (1.014-2.563)0.0440.689 (0.316-1.505)0.350
Smoking status (no vs. yes)0.495 (0.299-0.820)0.0060.738 (0.323-1.686)0.471
Stage (IIIB vs. IV)1.010 (0.245-4.170)0.989Excluded
PS (2-3 vs. 0-1)1.440 (0.768-2.699)0.2561.071 (0.520-2.204)0.852
Histopathological types (non-adenocarcinoma vs. adenocarcinoma)0.966 (0.479-1.948)0.924Excluded
EGFR-TKI sensitive mutation types (19 deletion vs. 21 L858R)0.430 (0.263-0.703)0.0010.358 (0.210-0.611)< 0.001
Types of EGFR-TKI (erlotinib vs. gefitinib)0.875 (0.478-1.603)0.6660.835 (0.441-1.582)0.581
Brain metastasis (no vs. yes)0.834 (0.489-1.424)0.5070.768 (0.424-1.391)0.383
The median OS on entire population was 25.0 months (95% CI: 22.1-27.8). The median OS of patients without weight loss at presentation was also significantly longer than those with weight loss (28.5 [95% CI 23.5-33.5] months vs. 20.7 [95% CI 17.5-23.9] months; HR: 0.408, 95% CI 0.215-0.776, p = 0.006) (Figure 2a). In EGFR exon 19 deletion patients, patients without weight loss had significantly longer OS than patients with weight loss (36.8 [95% CI 26.9-46.8] months vs. 22.7 [95% CI 18.5-26.9] months; HR: 0.263, 95% CI 0.099-0.695, p = 0.007) (Figure 2b), however, there was no significant difference in OS between patients without weight loss and patients with weight loss for EGFR exon 21 L858R mutation patients (20.2 [95% CI 17.6-22.8] months vs. 15.8 [95% CI 12.8-18.8] months; HR: 0.511, 95% CI 0.215-1.214, p = 0.128) (Figure 2c). Multivariate analysis identified with or without weight loss at presentation (p=0.011) and EGFR-TKI sensitive mutation types (p=0.009) as independent predictors of OS (table 4).
Figure 2

Kaplan-Meier curve for overall survival according to patients' weight loss status at presentation: a. overall population, b. EGFR exon 19 deletion population, c. EGFR exon 21 L858R mutation population.

Table 4

Predictors of OS analyzed by the Cox regression model

VariableUnivariate analysisMultivariate analysis
HR (95% CI)P- valueHR (95% CI)P- value
Weight loss status (without weight loss vs. with weight loss)0.408 (0.215-0.776)0.0060.384 (0.183-0.805)0.011
Age (< 65 vs. ≥ 65 years)0.528 (0.280-0.994)0.0481.975 (0.994-3.924)0.052
Sex (male vs. female)1.451 (0.802-2.625)0.2191.190 (0.461-3.069)0.718
Smoking status (no vs. yes)0.398 (0.206-0.768)0.0060.847 (0.259-2.771)0.259
Stage (IIIB vs. IV)1.010 (0.245-4.170)0.989Excluded
PS (2-3 vs. 0-1)1.205 (0.507-2.867)0.6730.991 (0.359-2.733)0.986
Histopathological types (non-adenocarcinoma vs. adenocarcinoma)1.129 (0.501-2.543)0.769Excluded
EGFR-TKI sensitive mutation types (19 deletion vs. 21 L858R)0.393 (0.217-0.713)0.0020.381 (0.186-0.784)0.009
Types of EGFR-TKI (erlotinib vs. gefitinib)0.345 (0.122-0.978)0.0450.336 (0.112-1.008)0.052
Brain metastasis (no vs. yes)0.984 (0.485-1.998)0.965Excluded
Second-line treatment (no vs. yes)0.684 (0.367-1.276)0.2330.661 (0.334-1.331)0.236

Second-line treatment

Overall, 50 (66.7%) of 75 patients received second-line treatment, and it was 32 (65.3%) of 49 patients in without weight loss group and 18 (69.2%) of 26 patients in with weight loss group, the proportion of patients received second-line treatment was similar between the two group (p=0.731). The most common regimens in second-line therapy were in two groups gemcitabine combined with platinum (Table 5).
Table 5

Second-line treatment

Second-line treatmentWithout weight loss group(n=49) (%)With weight loss group(n=26) (%)
None17 (34.7)8 (30.8)
Pemetrexed-Platinum8 (16.3)4 (15.4)
AZD92911 (2.0)1 (3.8)
Docetaxel-Platinum6 (12.2)2 (7.7)
Gemcitabine-Platinum12 (24.5)7 (26.9)
Paclitaxel-Platinum0 (0.0)2 (7.7)
Afatinib2 (4.1)0 (0.0)
Icotinib1 (2.0)0 (0.0)
Erlotinib2 (4.1)1 (3.8)
Sorafinib0 (0.0)1 (3.8)

Toxicities

The most common drug-related toxicities were listed in table 6. In two groups, rash was the most frequent drug-related toxicities, there were 12.2% and 15.4% of patients experiencing grade 3-4 rash in without weight loss group and with weight loss group respectively. Moreover, diarrhea is another most common adverse event. However, all of drug-related toxicities were well tolerated, and the incidences of these toxicities were similar between two groups.
Table 6

Drug-related Toxicities

Drug-related toxicitiesWithout weight loss group(n=49) (%)With weight loss group(n=26) (%)
All grades≥ Grades 3All grades≥ Grades 3
Haematological toxicities
Leukopenia4 (8.2)0 (0.0)2 (7.7)0 (0.0)
Neutropenia3 (6.1)0 (0.0)2 (7.7)0 (0.0)
Thrombocytopenia0 (0.0)0 (0.0)1 (2.1)0 (0.0)
Anaemia3 (6.1)0 (0.0)4 (15.4)0 (0.0)
Non-haematological toxicities
Interstitial lung disease0 (0.0)0 (0.0)0 (0.0)0 (0.0)
Alanine aminotransferase4 (8.2)0 (0.0)2 (7.7)0 (0.0)
Aspartate aminotransferase2 (4.1)0 (0.0)1 (3.8)0 (0.0)
Fatigue7 (14.3)0 (0.0)5 (19.2)1 (3.8)
Diarrhea12 (24.5)0 (0.0)7 (26.9)0 (0.0)
Rash18 (36.7)6 (12.2)10 (38.5)4 (15.4)
Anorexia3 (6.1)0 (0.0)2 (7.7)0 (0.0)

Discussion

To our best knowledge, at present, there are no published data on impact of weight loss at presentation on PFS and OS in EGFR-TKI sensitive mutant advanced NSCLC patients treated with first-line EGFR-TKI, and it is the first study to examine this. The present results showed that EGFR-TKI sensitive mutant advanced NSCLC patients without weight loss at presentation had significantly longer PFS and OS than those with weight loss at presentation in first-line EGFR-TKI treatment, the stratified analysis by EGFR-TKI sensitive mutation types also found similar trend between these two groups except for OS in EGFR exon 21 L858R mutation patients which may be due to the small sample size. In multivariate analysis, weight loss at presentation and EGFR-TKI sensitive mutation types were confirmed as independent adverse predictive factors for both PFS and OS. These findings suggest the necessity for nutritional intervention in these patients. Moreover, although one study found that toxicities were more common in advanced lung cancer patients with weight loss when receiving platinum-based chemotherapy 16, we didn't find any significant difference in adverse events between two groups in this analysis, which may be because the toxicities of EGFR-TKI were slight and all population could be well tolerated. One study compared the characteristics of patients who experience early progression with patients whose disease was controlled after receiving erlotinib or gefitinib for at least 7 days, and the univariate analysis results showed that weight loss ≥10% was one of clinical factors associated with early progression 17. This was the only study reported weight loss was associated with poorer outcome in patients treated with EGFR-TKI. Nevertheless, tumors of EGFR mutation status were unknown and patients received different lines of EGFR-TKI treatment in that study, in addition, weight loss was excluded from the multivariate analysis. In contrast to that, all patients had EGFR-TKI sensitive mutations and received first-line EGFR-TKI treatment in our study, the negative effect of weight loss at presentation on survival was confirmed in both univariate and multivariate analyzes. Therefore, there are less mixed factors in the present study and the results are more convincing than those of the aforementioned study. Interestingly, several studies investigated the impact of other weight-related clinical characteristics such as body mass index (BMI), body surface area (BSA), and body weight (BW) at diagnosis on survival for EGFR-TKI therapy in EGFR mutant NSCLC patients 18-21. However, the conclusions of these studies about the effects of BMI and BSA on survival were controversial and no predictive value of BW on the efficacy of EGFR-TKI was found. In addition, BMI, BSA, and BW at diagnosis are static factors and only could represent the weight condition at the time of diagnosis. Nevertheless, weight loss at presentation as a dynamic factor may be better in aspect of reflecting the change of body weight in a period. Thus, the reproducible of using weight loss at presentation as predictor may be superior to the other three weight-related clinical characteristics. Previous conclusions that weight loss was associated with worse prognosis were mostly derived from NSCLC patients received chemotherapy or concurrent chemo-radiotherapy 2, 22, 23. It is unclearly why weight loss has a detrimental impact on survival for these advanced NSCLC. There has an explanation that weight loss is associated with reduced treatment tolerance, more treatment delays, fewer symptomatic responses, and delivery of fewer cycles of chemotherapy 12. However, the response rate, toxicities, and the proportion of patients receiving second-line treatment were similar between two groups in our study. This indicates the mechanism that the detrimental impact of weight loss at presentation on survival in EGFR-TKI sensitive mutation NSCLC patients treated with first-line EGFR-TKI maybe differs from its impact on other types NSCLC patients. As we know, patients with weight loss often represent the presence of cachexia. In these patients, levels of numerous pro-inflammatory cytokines such as interleukin-6 (IL-6) are often increased, which affects treatment efficacies 24, 25. On the other hand, IL-6 and EGF share signal transducers and activators of transcription 3 (STAT3) for their signaling pathways. Activated IL-6 would up-regulate STAT3 pathway, which promote tumor proliferation, metastatic and result in immunosuppression and EGFR-TKI resistance 26-28. It is speculated that these may be the mechanisms for the shorter PFS and OS of patients with weight loss at presentation in our study. Weight loss is usually accompanied by some alternations of physiological functions, such as immune response, cardiopulmonary status, and physical condition. Our results showed that patients with weight loss at presentation had a worse PS, whereas weight loss but not PS is predictive factor for PFS and OS in multivariate analysis. This result was similar with that of Choi and colleagues', which also found PS was not a predictive factor of PFS and OS in patients receiving first-line gefitinib treatment in multivariate analysis 29. We speculated there were mainly two reasons. Firstly, maybe the sample size is too small to detect the difference. Secondly, EGFR-TKI could rapidly shrink the tumor and improve symptoms for EGFR-TKI sensitive mutant NSCLC patients with minimal toxicity. Therefore, patients' PS could be rapidly improved to receive more treatments to increase survival. In other words, even if the patient's PS is poor, EGFR-TKI can also improve the prognosis of the patient as long as patient has EGFR-TKI sensitive mutation. However, there are several limitations in this study. Firstly, this is only a small sample size retrospective study in a single center and selection bias may be exist, which means the results are speculative rather than definitive. Secondly, since the definitions of weight loss are inconsistent in different studies and the time of starting weight loss is also difficult to estimate, it is hard to determine the exact cutoff value of weight loss, therefore, recall bias of patients is possible in present study. Lastly, it is well known that PS was considered to be an independent prognostic factor for survival in NSLCL; however, the PS was not balanced in the two groups, the disproportion may cause bias and exaggerate the adverse effects of weight loss on survival.

Conclusions

In summary, weight loss at presentation was associated with worse PFS and OS in EGFR-TKI sensitive mutant NSCLC patients treated with first-line EGFR-TKI. It should be considered as an important factor in the treatment decision or designing of EGFR-TKI clinical trials in NSCLC patients with EGFR-TKI sensitive mutations. However, since sample size in our study is limited, it is necessary to enlarge population to validate the impact of weight loss at presentation on survival in EGFR-TKI sensitive mutant NSCLC patients treated with first-line EGFR-TKI in further study.
  29 in total

1.  Impact of physical size on gefitinib efficacy in patients with non-small cell lung cancer harboring EGFR mutations.

Authors:  Eiki Ichihara; Katsuyuki Hotta; Nagio Takigawa; Kenichiro Kudo; Yuka Kato; Yoshihiro Honda; Hiromi Hayakawa; Daisuke Minami; Akiko Sato; Masahiro Tabata; Mitsune Tanimoto; Katsuyuki Kiura
Journal:  Lung Cancer       Date:  2013-07-01       Impact factor: 5.705

Review 2.  STAT3 in the systemic inflammation of cancer cachexia.

Authors:  Teresa A Zimmers; Melissa L Fishel; Andrea Bonetto
Journal:  Semin Cell Dev Biol       Date:  2016-02-06       Impact factor: 7.727

Review 3.  Definition and classification of cancer cachexia: an international consensus.

Authors:  Kenneth Fearon; Florian Strasser; Stefan D Anker; Ingvar Bosaeus; Eduardo Bruera; Robin L Fainsinger; Aminah Jatoi; Charles Loprinzi; Neil MacDonald; Giovanni Mantovani; Mellar Davis; Maurizio Muscaritoli; Faith Ottery; Lukas Radbruch; Paula Ravasco; Declan Walsh; Andrew Wilcock; Stein Kaasa; Vickie E Baracos
Journal:  Lancet Oncol       Date:  2011-02-04       Impact factor: 41.316

Review 4.  Gefitinib or Erlotinib vs Chemotherapy for EGFR Mutation-Positive Lung Cancer: Individual Patient Data Meta-Analysis of Overall Survival.

Authors:  Chee Khoon Lee; Lucy Davies; Yi-Long Wu; Tetsuya Mitsudomi; Akira Inoue; Rafael Rosell; Caicun Zhou; Kazuhiko Nakagawa; Sumitra Thongprasert; Masahiro Fukuoka; Sally Lord; Ian Marschner; Yu-Kang Tu; Richard J Gralla; Val Gebski; Tony Mok; James Chih-Hsin Yang
Journal:  J Natl Cancer Inst       Date:  2017-06-01       Impact factor: 13.506

5.  Analysis of tumor specimens at the time of acquired resistance to EGFR-TKI therapy in 155 patients with EGFR-mutant lung cancers.

Authors:  Helena A Yu; Maria E Arcila; Natasha Rekhtman; Camelia S Sima; Maureen F Zakowski; William Pao; Mark G Kris; Vincent A Miller; Marc Ladanyi; Gregory J Riely
Journal:  Clin Cancer Res       Date:  2013-03-07       Impact factor: 12.531

6.  Important prognostic factors for the long-term survival in non-small cell lung cancer patients treated with combination of chemotherapy and conformal radiotherapy.

Authors:  Simonida Crvenkova; Meri Pesevska
Journal:  J BUON       Date:  2015 May-Jun       Impact factor: 2.533

Review 7.  Cachexia: prevalence and impact in medicine.

Authors:  Benjamin H L Tan; Kenneth C H Fearon
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2008-07       Impact factor: 4.294

8.  Weight Loss Associated with Platinum-Based Chemotherapy in Patients with Advanced Lung Cancer.

Authors:  Kayoko Morio; Toshiyuki Minami; Takashi Sozu; Kazuyuki Niki; Takashi Kijima; Etsuko Uejima; Kayoko Morio
Journal:  Chemotherapy       Date:  2016-04-01       Impact factor: 2.544

Review 9.  Cancer-related inflammation and treatment effectiveness.

Authors:  Connie I Diakos; Kellie A Charles; Donald C McMillan; Stephen J Clarke
Journal:  Lancet Oncol       Date:  2014-10       Impact factor: 41.316

10.  Comparison of the efficacy and tolerability of gefitinib with pemetrexed maintenance after first-line platinum-based doublet chemotherapy in advanced lung adenocarcinoma: single-center experience.

Authors:  Liping Lin; Juanjuan Zhao; Jiazhu Hu; Fuxi Huang; Jianjun Han; Yan He; Xiaolong Cao
Journal:  Onco Targets Ther       Date:  2016-10-14       Impact factor: 4.147

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Authors:  Shidai Jin; Jing He; Jun Li; Renhua Guo; Yongqian Shu; Ping Liu
Journal:  Thorac Cancer       Date:  2018-08-20       Impact factor: 3.500

2.  Body Mass Index, Weight Loss, and Mortality Risk in Advanced-Stage Non-Small Cell Lung Cancer Patients: A Focus on EGFR Mutation.

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Journal:  Cancer Med       Date:  2022-02-22       Impact factor: 4.711

Review 4.  Obesity, Sarcopenia, and Outcomes in Non-Small Cell Lung Cancer Patients Treated With Immune Checkpoint Inhibitors and Tyrosine Kinase Inhibitors.

Authors:  Karam Khaddour; Sandra L Gomez-Perez; Nikita Jain; Jyoti D Patel; Yanis Boumber
Journal:  Front Oncol       Date:  2020-10-20       Impact factor: 5.738

  4 in total

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