Evidence map›Paper›PMID 28467813›Full record

SynthesisOncotarget2017

A systematic review and meta-analysis of individual patient data on the impact of the BIM deletion polymorphism on treatment outcomes in epidermal growth factor receptor mutant lung cancer.

Sheila X Soh, Fahad J Siddiqui, John C Allen, Go Woon Kim, Jae Cheol Lee, Yasushi Yatabe, Manabu Soda, Hiroyuki Mano, Ross A Soo, Tan-Min Chin and 19 more

Open access · diamondAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Article
  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors at 16 institutions in 7 countries.

Sheila X SohCancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.
Fahad J SiddiquiCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore.
John C AllenCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore.
Go Woon KimDepartment of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan, Seoul, Republic of Korea.
Jae Cheol LeeDepartment of Oncology, Asan Medical Center, University of Ulsan, Seoul, Republic of Korea.
Yasushi YatabeDepartment of Pathology and Molecular Diagnostics, Aichi Cancer Center, Nagoya, Japan.
Manabu SodaDepartment of Cellular Signaling, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Hiroyuki ManoDepartment of Cellular Signaling, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Ross A SooDepartment of Haematology-Oncology, National University Cancer Institute, Singapore.
Tan-Min ChinDepartment of Haematology-Oncology, National University Cancer Institute, Singapore.
Hiromichi EbiDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Seiji YanoDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Keitaro MatsuoDivision of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan.
Xiaomin NiuShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Shun LuShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Kazutoshi IsobeDepartment of Respiratory Medicine, Toho University Omori Medical Center, Tokyo, Japan.
Jih-Hsiang LeeDepartment of Medical Research, National Taiwan University Hospital, Taipei, Taiwan.
James C YangDepartment of Oncology, Graduate Institute of Oncology and Cancer Research Centre, National Taiwan University Hospital, Taipei, Taiwan.
Mingchuan ZhaoDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Caicun ZhouDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
June-Koo LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Se-Hoon LeeDivision of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Ji Yun LeeDivision of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Myung-Ju AhnDivision of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Tira J TanDivision of Medical Oncology, National Cancer Centre, Singapore.
Daniel S TanDivision of Medical Oncology, National Cancer Centre, Singapore.
Eng-Huat TanDivision of Medical Oncology, National Cancer Centre, Singapore.
S Tiong OngCancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.
Wan-Teck LimDivision of Medical Oncology, National Cancer Centre, Singapore.
National Cancer Centre Singapore · SGDuke-NUS Medical School · SGUniversity of Ulsan · KRAichi Cancer Center · JPKanazawa University · JPSamsung Medical Center · KRShanghai Chest Hospital · CNShanghai Pulmonary Hospital · CNThe University of Tokyo · JPAsan Medical Center · KRDuke Medical Center · USNational Taiwan University Hospital · TWNational University Cancer Institute, Singapore · SGNational University of Singapore · SGSeoul National University Hospital · KRToho University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA germline deletion in the BIM (BCL2L11) gene has been shown to impair the apoptotic response to tyrosine kinase inhibitors (TKIs) in vitro but its association with poor outcomes in TKI-treated non-small cell lung cancer (NSCLC) patients remains unclear. We conducted a systematic review and meta-analysis on both aggregate and individual patient data to address this issue.

resultsIn an aggregate data meta-analysis (n = 1429), the BIM deletion was associated with inferior PFS (HR = 1.51, 95%CI = 1.06-2.13, P = 0.02). Using individual patient data (n = 1200), we found a significant interaction between the deletion and ethnicity. Amongst non-Koreans, the deletion was an independent predictor of shorter PFS (Chinese: HR = 1.607, 95%CI = 1.251-2.065, P = 0.0002; Japanese: HR = 2.636, 95%CI = 1.603-4.335, P = 0.0001), and OS (HR = 1.457, 95% CI = 1.063-1.997, P = 0.019). In Kaplan-Meier analyses, the BIM deletion was associated with shorter survival in non-Koreans (PFS: 8.0 months v 11.1 months, P < 0.0005; OS: 25.7 v 30.0 months, P = 0.042). In Koreans, the BIM deletion was not predictive of PFS or OS. MATERIALS AND

methods10 published and 3 unpublished studies that reported survival outcomes in NSCLC patients stratified according to BIM deletion were identified from PubMed and Embase. Summary risk estimates were calculated from aggregate patient data using a random-effects model. For individual patient data, Kaplan-Meier analyses were supported by multivariate Cox regression to estimate hazard ratios (HRs) for PFS and OS.

conclusionsIn selected populations, the BIM deletion is a significant predictor of shorter PFS and OS on EGFR-TKIs. Further studies to determine its effect on response to other BIM-dependent therapeutic agents are needed, so that alternative treatment strategies may be devised.

Indexed as

Bcl-2-Like Protein 11Disease-Free SurvivalErbB ReceptorsFemaleHumansLung NeoplasmsMaleMutationPolymorphism, GeneticTreatment OutcomeBcl-2-Like Protein 11EGFR protein, humanErbB ReceptorsBIMdrug resistancelung cancerpolymorphismtyrosine kinase inhibitor

Identifiers

PMID28467813
PMCPMC5522319
OpenAlexW2605851135

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.