Literature DB >> 24736070

Clinical significance of BIM deletion polymorphism in non-small-cell lung cancer with epidermal growth factor receptor mutation.

Kazutoshi Isobe1, Yoshinobu Hata, Naobumi Tochigi, Kyohei Kaburaki, Hiroshi Kobayashi, Takashi Makino, Hajime Otsuka, Fumitomo Sato, Fumiaki Ishida, Naoshi Kikuchi, Nao Hirota, Keita Sato, Go Sano, Keishi Sugino, Susumu Sakamoto, Yujiro Takai, Kazutoshi Shibuya, Akira Iyoda, Sakae Homma.   

Abstract

BACKGROUND: Germline alterations in the proapoptotic protein Bcl-2-like 11 (BIM) can have a crucial role in tumor response to treatment. To determine the clinical utility of detecting BIM deletion polymorphism in non-small-cell lung cancer positive for epidermal growth factor receptor (EGFR) mutation, we examined outcomes of patients with and without BIM alterations.
METHODS: We studied 70 patients with EGFR mutation-positive non-small-cell lung cancer who were treated with an EGFR tyrosine kinase inhibitor between January 2008 and January 2013. BIM deletion was analyzed by polymerase chain reaction in 58 samples of peripheral blood and 24 formalin-fixed paraffin-embedded slides of surgical specimens (20 of lung tissue and four of brain tissue); both blood and tissue specimens were available for 12 patients. We retrospectively analyzed clinical characteristics, response rate, toxicity, and outcomes among patients with and without BIM deletion.
RESULTS: BIM deletion was present in 13 of 70 patients (18.6%). There were no significant differences between patients with and without BIM deletion in clinical characteristics, rate of response to EGFR tyrosine kinase inhibitor, or incidence of adverse events. Patients with BIM deletion had significantly shorter progression-free survival (PFS) than those without BIM deletion (median, 227 versus 533 days; p < 0.001). Multivariate Cox regression analysis showed that BIM deletion was an independent indicator of shorter PFS (hazard ratio, 3.99; 95% confidence interval, 1.864-8.547; p < 0.001).
CONCLUSIONS: Polymerase chain reaction successfully detected BIM deletion in samples of peripheral blood and formalin-fixed paraffin-embedded slides of surgical specimens. BIM deletion was the most important independent prognostic factor in shorter PFS.

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Year:  2014        PMID: 24736070      PMCID: PMC4132037          DOI: 10.1097/JTO.0000000000000125

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


An activating mutation of the epidermal growth factor receptor (EGFR) gene is a promising target in the treatment of non–small-cell lung cancer (NSCLC).[1,2] The frequency of EGFR mutations depends on the population studied. In North America and Western Europe, approximately 10% of patients with NSCLC harbor mutations, whereas in East Asia approximately 30% have EGFR mutations.[3,4] EGFR tyrosine kinase inhibitors (EGFR-TKI) such as gefitinib and erlotinib are recommended for treating EGFR mutation-positive NSCLC.[5,6] NSCLC patients with such mutations who were treated with EGFR-TKI as first-line therapy had longer progression-free survival (PFS) than did those who received platinum-based chemotherapy.[7-10] Therefore, detection of EGFR mutations in patients with metastatic NSCLC is important in selecting individualized therapies. However, most patients develop a recurrence within 10 to 16 months after initial EGFR-TKI treatment.[11] Approximately 50% of patients with acquired resistance to EGFR-TKI were found to have the EGFR T790M mutation.[12,13] Other reported mechanisms responsible for acquired resistance are MET amplification, in 5% to 10% of cases,[14,15] and small-cell cancer transformation, in less than 5% of cases.[16] However, the mechanisms responsible for acquired EGFR-TKI resistance are not known in approximately 30% to 40% of patients.[11] Bcl-2–like 11 (BIM) is a proapoptotic member of the B-cell CLL/Lymphoma 2 (Bcl-2) family of proteins[17,18] and has emerged as a key modulator of apoptosis triggered by EGFR-TKI.[19,20] Low expression levels of BIM in primary tumors are reported to be associated with shorter PFS in patients treated with EGFR-TKI.[21] Recently, Ng et al.[22] reported a common intronic deletion polymorphism in the gene encoding BIM. This polymorphism switched BIM splicing from exon 4 to exon 3, which resulted in increased expression of BIM isoforms lacking the proapoptotic Bcl-2-homology domain 3 (BH3). After TKI exposure, cells with the BIM deletion polymorphism showed decreased induction of exon-4-containing transcripts and, consequently, impaired BH3-domain–dependent apoptosis. This germline alteration could have a crucial role in determining how a tumor responds to treatment. However, few studies have examined the clinical usefulness of detecting BIM deletion polymorphism or the clinical characteristics of EGFR mutation-positive NSCLC. To determine the clinical utility of detecting BIM deletion polymorphism in patients with EGFR mutation-positive NSCLC, we examined the outcomes of patients with and without BIM alterations.

PATIENTS AND METHODS

Polymerase Chain Reaction

To detect BIM deletion polymorphism, we performed two types of polymerase chain reaction (PCR) analysis, according to the method of Ng et al.[22] In brief, we used a single primer set that contains the deletion area in intron 2 and two separate primer sets designed for wild-type and deletion alleles. The DNA was subjected to PCR amplification using primers designed to detect deletion site (2903 bp) in intron 2 of the BCL2L11 gene. The resulting PCR products from the deletion (1285 bp) and wild-type (4188 bp) alleles were analyzed on agarose gels. In addition, the PCR products for the deletion (177 bp) and wild-type (174 bp) alleles were analyzed on agarose gel. We analyzed 20 cell lines, including the KCL-22 cell (which was reported to have the BIM deletion),[22] and 30 DNA samples from healthy Japanese volunteers.

Clinical Samples

We studied 70 patients with EGFR mutation-positive NSCLC who were treated with EGFR-TKI during the period from January 2008 to January 2013. BIM deletion polymorphism was analyzed by PCR in 58 samples of peripheral blood (cell-free DNA in 34, leukocyte DNA in 35) and on 24 formalin-fixed paraffin-embedded (FFPE) slides of surgical specimens (20 specimens of lung tissue and four of brain tissue); both blood and tissue specimens were available for 12 patients. To confirm the validity of PCR analysis of two types of samples, we compared the results for BIM deletion polymorphism identified in lung tissue on FFPE slides with those from peripheral blood (cell-free DNA or leukocyte DNA) from the same patients (n = 12). DNA was extracted from FFPE slides using the QIAamp FFPE Tissue Kit (QIAGEN KK, Tokyo, Japan). DNA extraction blood samples were diluted in lysis solution to lyse the red cells and the white cell fraction was pelleted and washed once in phosphate-buffered saline. DNA was extracted from the white cell pellets using the QIAamp DNA mini Kit (QIAGEN KK, Tokyo, Japan).

Clinical Outcomes

We retrospectively analyzed the clinical characteristics, response rate (RR), disease control rate (DCR), and toxicity of EGFR-TKI in patients with and without BIM deletion polymorphism. Toxicity was assessed according to National Cancer Institute Common Terminology Criteria for Adverse Events, version 3. We estimated PFS and overall survival (OS) in patients with and without BIM deletion polymorphism. The PFS of patients treated with EGFR-TKI was assessed from the date EGFR-TKI therapy was started to the earliest sign of disease progression as determined by findings from computed tomography or magnetic resonance imaging, according to the Response Evaluation Criteria in Solid Tumors. OS was defined as the period from the date of diagnosis until death from any cause.

Statistical Analysis

Statistical analyses were conducted using SPSS software for Windows, version 12.0 (SPSS, Tokyo, Japan). Differences in clinical characteristics, RR, DCR, and adverse events between patients with and without BIM deletion polymorphism were compared using Fisher’s exact test. Survival curves were drawn by the Kaplan-Meier method, and statistical analysis was performed using the log-rank test. We used univariate analysis and multivariate Cox regression analysis to identify factors associated with shorter PFS. The investigated prognostic factors were age, sex (male versus female), performance status (2 versus 1 versus 0), brain metastasis (yes versus no), bone metastasis (yes versus no), pulmonary metastasis (yes versus no), liver metastasis (yes versus no), lymph node metastasis (yes versus no), EGFR mutation (major mutations [L858R and exon 19 deletion] versus minor mutations [other mutations]), EGFR-TKI response (partial response versus stable disease), smoking history (pack-years), and BIM deletion (yes versus no). This single-center study was conducted at Toho University Omori Medical Center (Tokyo, Japan) and was approved by its Human Genome/Gene Analysis Research Ethical Committee (Authorization number; 24-1).

RESULTS

Detection of BIM Deletion in Cell Lines and Healthy Volunteers

Using the two types of PCR analysis, we analyzed 20 cell lines and 30 DNA samples from healthy Japanese volunteers. Among the 20 cell lines, only KCL-22 showed BIM deletion. As for DNA samples, BIM deletion polymorphism was present in six of the 30 (20%) healthy volunteers. There was no discordance between the two types of PCR analysis.

Validation between Blood Samples and FFPE Slides

We confirmed the validity between blood samples (leukocyte DNA in 12 and cell-free DNA in four) and FFPE slides of surgical specimens (lung tissue in 12): BIM deletion was detected in three of 12 patients (25%). There was no discordance between the two sample types.

Detection of BIM Deletion on EGFR-Positive NSCLC

We analyzed BIM deletion polymorphism in 70 patients with EGFR mutation-positive NSCLC who were treated with EGFR-TKI. BIM deletion polymorphism was present in 13 of the 70 patients (18.6%); homozygous deletion was noted in one and heterozygous deletion in 12. For the one case of homozygous deletion, PCR analysis using the primer set for the wild-type allele showed no amplification (Table 1).
TABLE 1.

Presence of BIM Deletion in Patients with EGFR Mutation-Positive NSCLC (n = 70)

Presence of BIM Deletion in Patients with EGFR Mutation-Positive NSCLC (n = 70)

Comparison between Patients with and without BIM Deletion Polymorphism

There were no significant differences in the clinical characteristics, RR, DCR, or incidence of adverse events between patients with (n = 13) and without (n = 57) BIM deletion polymorphism (Tables 2 and 3).
TABLE 2.

Patient Characteristics (n = 70)

TABLE 3.

Comparison of Clinical Response and Adverse Events after EGFR-TKI Therapy

Patient Characteristics (n = 70) Comparison of Clinical Response and Adverse Events after EGFR-TKI Therapy

Survival and Indicators of Shorter PFS

We estimated PFS and OS in patients with and without BIM deletion polymorphism. The patients with BIM deletion polymorphism had significantly shorter PFS than did those without BIM deletion polymorphism (median, 227 versus 533 days; p < 0.001; Fig. 1). There was no significant difference in OS (median, 1176 versus 1363 days; p = 0.27; Fig. 2). Multivariate Cox regression analysis showed that BIM deletion polymorphism was the strongest independent indicator of shorter PFS (hazard ratio [HR], 3.99; 95% confidence interval [CI], 1.864–8.547; p < 0.001; Table 4).
FIGURE 1.

Patients with BIM deletion polymorphism had significantly shorter progression-free survival than did those without BIM deletion polymorphism (median, 227 versus 533 days; p < 0.001).

FIGURE 2.

There was no significant difference in overall survival between patients with and without BIM deletion polymorphism (median, 1176 versus 1363 days; p = 0.27).

TABLE 4.

Indicators of Shorter PFS after EGFR-TKI Treatment

Indicators of Shorter PFS after EGFR-TKI Treatment Patients with BIM deletion polymorphism had significantly shorter progression-free survival than did those without BIM deletion polymorphism (median, 227 versus 533 days; p < 0.001). There was no significant difference in overall survival between patients with and without BIM deletion polymorphism (median, 1176 versus 1363 days; p = 0.27).

DISCUSSION

BIM deletion polymorphism is a germline alteration that affects EGFR-TKI–related apoptosis.[17,18] In a study that screened 2597 healthy individuals, BIM deletion polymorphism was present in 12.3% of East Asians but absent in Africans and Europeans.[22] In the present study, BIM deletion polymorphism was present in 13 of 70 Japanese patients (18.6%) with EGFR mutation-positive NSCLC and in six of 30 healthy Japanese volunteers (20%), a statistically insignificant difference. The overall frequency of BIM deletion polymorphism in our study (19%, n = 100) was higher than that noted in a previous report.[22] Tagawa et al.[23] reported homozygous BIM deletions in patients with mantle-cell lymphoma, and homozygous BIM deletion was found in 0.5% of East Asians.[24] Among the present 70 Japanese patients with NSCLC, one (1.4%) had homozygous deletion and 12 had heterozygous deletion. Future studies should investigate the characteristics of patients with homozygous BIM deletion polymorphism to determine if this genotype results in worse clinical outcomes when compared with heterozygous BIM deletion. There were no significant differences between clinical characteristics, response to EGFR-TKI, or incidences of adverse events due to EGFR-TKI among patients with and without BIM deletion polymorphism. Thus, it is difficult to distinguish between patients with and without BIM deletion polymorphism on the basis of clinical characteristics alone. No patient with BIM deletion developed EGFR-TKI–related pneumonitis. BIM knockdown was reported to prevent FOXO3 (i.e., FKHRL1, a member of the forkhead transcription factor subfamily)-mediated overproduction of reactive oxygen species and apoptosis.[25] BIM deletion polymorphism might affect EGFR-TKI–related lung injury by preventing overproduction of reactive oxygen species. Further studies are needed to clarify the relationship between EGFR-TKI–related pneumonitis and BIM. BIM deletion polymorphism, a germline alteration, is thought to be associated with intrinsic resistance to EGFR-TKI and would likely result in primary resistance and no response to treatment. However, the present clinical outcomes were probably due to acquired resistance: when compared with patients without BIM polymorphism, those with BIM deletion polymorphism had similar RRs and DCRs but shorter PFS. The reasons for these findings remain to be investigated. It has been hypothesized that EGFR-TKI–induced apoptosis does not completely depend on the BIM pathway and that tumor response to EGFR-TKI in patients with BIM deletion might depend on other proapoptotic regulators, which could have less-prolonged clinical activity than those of the BIM pathway. A second hypothesis is that BIM deletion polymorphism itself results in relative resistance to EGFR-TKI. Kuroda et al.[26] showed that cancer cells were sensitive to small changes in BIM protein concentrations and that BIM protein concentration exerted a dose-dependent effect on apoptosis and the degree of TKI resistance.[26] In a report by Faber et al.,[21] PFS was shorter (4.7 versus 13.7 mo, p = 0.007) among patients with low BIM RNA expression, which appeared to correlate with high BIM protein expression on immunohistochemistry. The RR after EGFR-TKI was worse among patients with low BIM RNA expression (44%) than among those with high BIM RNA expression (77%), although the difference was not statistically significant. Patients with BIM deletion polymorphism could be regarded as “carriers” that have varied BIM expression and clinical responses that are modulated by genetic or epigenetic interactions, a possibility that warrants further study. Although cells with BIM deletion polymorphism show decreased induction of exon-4–containing transcripts after TKI exposure,[22] the response after prolonged TKI exposure should be investigated. Ng et al.[22] reported that patients with BIM deletion polymorphism had significantly shorter PFS than did patients without BIM deletion polymorphism after EGFR-TKI treatment (6.6 versus 11.9 mo, p = 0.0027), but they did not report RR or OS. Our present study in a Japanese population yielded similar results: BIM deletion polymorphism was an independent indicator of shorter PFS. However, there was no significant difference in OS among patients with and without BIM deletion polymorphism. Multivariate Cox regression analysis showed that indicators of shorter OS were EGFR-TKI–related pneumonitis (HR, 3.52; 95% CI, 1.190–3.860; p = 0.023), brain metastasis (HR, 2.14; 95% CI, 1.099–4.165; p = 0.025), and smoking history (HR, 1.001; 95% CI, 1.000–1.001; p = 0.026). EGFR-TKI–related pneumonitis developed only in patients without BIM deletion polymorphism (n = 8, 14%) but has a detrimental effect on chemotherapy given after pneumonitis. Thus, EGFR-TKI–related pneumonitis might have reduced OS among the present patients without BIM deletion, which possibly explains the lack of a significant difference in OS between patients with and without BIM deletion polymorphism in the present study. BH3-mimetic drugs[22] and histone deacetylase inhibitors[24] may be able to surmount BIM-associated resistance to EGFR-TKI. Our findings suggest that although there was no significant difference in RR or OS among patients with and without BIM deletion polymorphism, the addition of these drugs might prolong PFS. However, this study was a retrospective study at a single center. A prospective multicenter study should be conducted to investigate the clinical significance of BIM deletion polymorphism on EGFR-TKI therapy. In addition, EGFR-TKI–related pneumonitis should be considered in any randomized prospective study of the clinical benefit of BH3-mimetic drugs or histone deacetylase inhibitors for patients with BIM deletion polymorphism. In conclusion, BIM deletion polymorphism, a germline alteration, was successfully detected by PCR analysis of samples of peripheral blood and FFPE slides of surgical specimens, thus providing a minimally invasive and convenient detection method. BIM deletion polymorphism was the strongest indicator of shorter PFS among patients with EGFR mutation-positive NSCLC treated with EGFR-TKI. Our results indicate that new treatment strategies should be established for patients with BIM deletion polymorphism.

ACKNOWLEDGMENTS

We thank Atsushi Kakimoto, Hiroki Todoroki, and Satoshi Natsume of SRL (Tokyo, Japan) and Hiroyuki Mano and Manabu Soda of Jichi Medical University (Tochigi, Japan) for their help. We are also grateful to R. J. Turner of Toho University and David Kipler for their review of the language of this article.
  26 in total

1.  A common BIM deletion polymorphism mediates intrinsic resistance and inferior responses to tyrosine kinase inhibitors in cancer.

Authors:  King Pan Ng; Axel M Hillmer; Charles T H Chuah; Wen Chun Juan; Tun Kiat Ko; Audrey S M Teo; Pramila N Ariyaratne; Naoto Takahashi; Kenichi Sawada; Yao Fei; Sheila Soh; Wah Heng Lee; John W J Huang; John C Allen; Xing Yi Woo; Niranjan Nagarajan; Vikrant Kumar; Anbupalam Thalamuthu; Wan Ting Poh; Ai Leen Ang; Hae Tha Mya; Gee Fung How; Li Yi Yang; Liang Piu Koh; Balram Chowbay; Chia-Tien Chang; Veera S Nadarajan; Wee Joo Chng; Hein Than; Lay Cheng Lim; Yeow Tee Goh; Shenli Zhang; Dianne Poh; Patrick Tan; Ju-Ee Seet; Mei-Kim Ang; Noan-Minh Chau; Quan-Sing Ng; Daniel S W Tan; Manabu Soda; Kazutoshi Isobe; Markus M Nöthen; Tien Y Wong; Atif Shahab; Xiaoan Ruan; Valère Cacheux-Rataboul; Wing-Kin Sung; Eng Huat Tan; Yasushi Yatabe; Hiroyuki Mano; Ross A Soo; Tan Min Chin; Wan-Teck Lim; Yijun Ruan; S Tiong Ong
Journal:  Nat Med       Date:  2012-03-18       Impact factor: 53.440

2.  EGFR mutation and resistance of non-small-cell lung cancer to gefitinib.

Authors:  Susumu Kobayashi; Titus J Boggon; Tajhal Dayaram; Pasi A Jänne; Olivier Kocher; Matthew Meyerson; Bruce E Johnson; Michael J Eck; Daniel G Tenen; Balázs Halmos
Journal:  N Engl J Med       Date:  2005-02-24       Impact factor: 91.245

3.  FOXO3-induced reactive oxygen species are regulated by BCL2L11 (Bim) and SESN3.

Authors:  Judith Hagenbuchner; Andrey Kuznetsov; Martin Hermann; Barbara Hausott; Petra Obexer; Michael J Ausserlechner
Journal:  J Cell Sci       Date:  2012-02-20       Impact factor: 5.285

4.  Genome-wide array-based CGH for mantle cell lymphoma: identification of homozygous deletions of the proapoptotic gene BIM.

Authors:  Hiroyuki Tagawa; Sivasundaram Karnan; Ritsuro Suzuki; Keitaro Matsuo; Xiaohua Zhang; Akinobu Ota; Yasuo Morishima; Shigeo Nakamura; Masao Seto
Journal:  Oncogene       Date:  2005-02-17       Impact factor: 9.867

5.  EGFR-TKI resistance due to BIM polymorphism can be circumvented in combination with HDAC inhibition.

Authors:  Takayuki Nakagawa; Shinji Takeuchi; Tadaaki Yamada; Hiromichi Ebi; Takako Sano; Shigeki Nanjo; Daisuke Ishikawa; Mitsuo Sato; Yoshinori Hasegawa; Yoshitaka Sekido; Seiji Yano
Journal:  Cancer Res       Date:  2013-02-04       Impact factor: 12.701

6.  Clinical and biological features associated with epidermal growth factor receptor gene mutations in lung cancers.

Authors:  Hisayuki Shigematsu; Li Lin; Takao Takahashi; Masaharu Nomura; Makoto Suzuki; Ignacio I Wistuba; Kwun M Fong; Huei Lee; Shinichi Toyooka; Nobuyoshi Shimizu; Takehiko Fujisawa; Ziding Feng; Jack A Roth; Joachim Herz; John D Minna; Adi F Gazdar
Journal:  J Natl Cancer Inst       Date:  2005-03-02       Impact factor: 13.506

7.  EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy.

Authors:  J Guillermo Paez; Pasi A Jänne; Jeffrey C Lee; Sean Tracy; Heidi Greulich; Stacey Gabriel; Paula Herman; Frederic J Kaye; Neal Lindeman; Titus J Boggon; Katsuhiko Naoki; Hidefumi Sasaki; Yoshitaka Fujii; Michael J Eck; William R Sellers; Bruce E Johnson; Matthew Meyerson
Journal:  Science       Date:  2004-04-29       Impact factor: 47.728

8.  Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib.

Authors:  Thomas J Lynch; Daphne W Bell; Raffaella Sordella; Sarada Gurubhagavatula; Ross A Okimoto; Brian W Brannigan; Patricia L Harris; Sara M Haserlat; Jeffrey G Supko; Frank G Haluska; David N Louis; David C Christiani; Jeff Settleman; Daniel A Haber
Journal:  N Engl J Med       Date:  2004-04-29       Impact factor: 91.245

Review 9.  Epidermal growth factor receptor tyrosine kinase inhibitor-resistant disease.

Authors:  Kadoaki Ohashi; Yosef E Maruvka; Franziska Michor; William Pao
Journal:  J Clin Oncol       Date:  2013-02-11       Impact factor: 44.544

Review 10.  Apoptosis in targeted therapy responses: the role of BIM.

Authors:  Anthony C Faber; Hiromichi Ebi; Carlotta Costa; Jeffrey A Engelman
Journal:  Adv Pharmacol       Date:  2012
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  30 in total

1.  Reply: the BIM deletion polymorphism cannot account for intrinsic TKI resistance of Chinese individuals with chronic myeloid leukemia.

Authors:  S Tiong Ong; Charles T H Chuah; Tun Kiat Ko; Axel M Hillmer; Wan-Teck Lim
Journal:  Nat Med       Date:  2014-10       Impact factor: 53.440

Review 2.  The BCL2 Family: Key Mediators of the Apoptotic Response to Targeted Anticancer Therapeutics.

Authors:  Aaron N Hata; Jeffrey A Engelman; Anthony C Faber
Journal:  Cancer Discov       Date:  2015-04-20       Impact factor: 39.397

Review 3.  Primary Double-Strike Therapy for Cancers to Overcome EGFR Kinase Inhibitor Resistance: Proposal from the Bench.

Authors:  Kenichi Suda; Paul A Bunn; Christopher J Rivard; Tetsuya Mitsudomi; Fred R Hirsch
Journal:  J Thorac Oncol       Date:  2016-09-15       Impact factor: 15.609

4.  Association of BIM Deletion Polymorphism and BIM-γ RNA Expression in NSCLC with EGFR Mutation.

Authors:  Kazutoshi Isobe; Atsushi Kakimoto; Tetsuo Mikami; Kyohei Kaburaki; Hiroshi Kobayashi; Takahiro Yoshizawa; Takashi Makino; Hajime Otsuka; G O Sano; Keishi Sugino; Susumu Sakamoto; Yujiro Takai; Naobumi Tochigi; Akira Iyoda; Sakae Homma
Journal:  Cancer Genomics Proteomics       Date:  2016 11-12       Impact factor: 4.069

Review 5.  Targeting apoptosis to manage acquired resistance to third generation EGFR inhibitors.

Authors:  Shi-Yong Sun
Journal:  Front Med       Date:  2022-09-24       Impact factor: 9.927

Review 6.  The pharmacogenomics of drug resistance to protein kinase inhibitors.

Authors:  Nancy K Gillis; Howard L McLeod
Journal:  Drug Resist Updat       Date:  2016-07-05       Impact factor: 18.500

7.  The relationship between BIM deletion polymorphism and clinical significance of epidermal growth factor receptor-mutated non-small cell lung cancer patients with epidermal growth factor receptor-tyrosine kinase inhibitor therapy: a meta-analysis.

Authors:  Qian Zou; Ping Zhan; Tangfeng Lv; Yong Song
Journal:  Transl Lung Cancer Res       Date:  2015-12

8.  The effect of BIM deletion polymorphism on intrinsic resistance and clinical outcome of cancer patient with kinase inhibitor therapy.

Authors:  Hou-Qun Ying; Jie Chen; Bang-Shun He; Yu-Qin Pan; Feng Wang; Qi-Wen Deng; Hui-Ling Sun; Xian Liu; Shu-Kui Wang
Journal:  Sci Rep       Date:  2015-06-15       Impact factor: 4.379

Review 9.  BIM Deletion Polymorphism Confers Resistance to Osimertinib in EGFR T790M Lung Cancer: a Case Report and Literature Review.

Authors:  Xuanzong Li; Shijiang Wang; Butuo Li; Zhen Wang; Shuheng Shang; Yang Shao; Xindong Sun; Linlin Wang
Journal:  Target Oncol       Date:  2018-08       Impact factor: 4.493

Review 10.  The BIM deletion polymorphism is a prognostic biomarker of EGFR-TKIs response in NSCLC: A systematic review and meta-analysis.

Authors:  Wei Nie; Xia Tao; Hua Wei; Wan-sheng Chen; Bing Li
Journal:  Oncotarget       Date:  2015-09-22
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