Evidence map›Paper›PMID 26175928›Full record

ArticleCancer biology & medicine2015

Predictive value of K-ras and PIK3CA in non-small cell lung cancer patients treated with EGFR-TKIs: a systemic review and meta-analysis.

Jie-Ying Chen, Ya-Nan Cheng, Lei Han, Feng Wei, Wen-Wen Yu, Xin-Wei Zhang, Shui Cao, Jin-Pu Yu

Abstract read
In one paragraph

Article in Cancer biology & medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. No significant association between PIK3CA mutation and survival of esophageal squamous cell carcinoma: A meta-analysis.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2017
    Pooled it
  3. Pooled it
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  9. Needs with Regard to Decision Support Systems for Treating Patients with Incurable Non-small Cell Lung Cancer.Journal of cancer education : the official journal of the American Association for Cancer Education · 2020
    Article
  10. Article
  11. Article
  12. Lung Cancer Biomarkers.Hematology/oncology clinics of North America · 2017
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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

8 authors.

Jie-Ying Chen1 Department of Immunology, 2 Cancer Molecular Diagnostic Core Laboratory, 3 Biotherapy Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.
Ya-Nan Cheng1 Department of Immunology, 2 Cancer Molecular Diagnostic Core Laboratory, 3 Biotherapy Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.
Lei Han1 Department of Immunology, 2 Cancer Molecular Diagnostic Core Laboratory, 3 Biotherapy Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.
Feng Wei1 Department of Immunology, 2 Cancer Molecular Diagnostic Core Laboratory, 3 Biotherapy Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.
Wen-Wen Yu1 Department of Immunology, 2 Cancer Molecular Diagnostic Core Laboratory, 3 Biotherapy Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.
Xin-Wei Zhang1 Department of Immunology, 2 Cancer Molecular Diagnostic Core Laboratory, 3 Biotherapy Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.
Shui Cao1 Department of Immunology, 2 Cancer Molecular Diagnostic Core Laboratory, 3 Biotherapy Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.
Jin-Pu Yu1 Department of Immunology, 2 Cancer Molecular Diagnostic Core Laboratory, 3 Biotherapy Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA meta-analysis was performed to augment the insufficient data on the impact of mutative EGFR downstream phosphatidylinositol-3-kinase (PI3K) and mitogen-activated protein kinase (MAPK) pathways on the clinical efficiency of epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) treatment of non-small cell lung cancer (NSCLC) patients.

methodsNetwork databases were explored in April, 2015. Papers that investigated the clinical outcomes of NSCLC patients treated with EGFR-TKIs according to the status of K-ras and/or PIK3CA gene mutation were included. A quantitative meta-analysis was conducted using standard statistical methods. Odds ratios (ORs) for objective response rate (ORR) and hazard ratios (HRs) for progression-free survival (PFS) and overall survival (OS) were calculated.

resultsMutation in K-ras significantly predicted poor ORR [OR =0.22; 95% confidence interval (CI), 0.13-0.35], shorter PFS (HR =1.56; 95% CI, 1.27-1.92), and shorter OS (HR =1.59; 95% CI, 1.33-1.91) in NSCLC patients treated with EGFR-TKIs. Mutant PIK3CA significantly predicted shorter OS (HR =1.83; 95% CI, 1.05-3.20), showed poor ORR (OR =0.70; 95% CI, 0.22-2.18), and shorter PFS (HR =1.79; 95% CI, 0.91-3.53) in NSCLC patients treated with EGFR-TKIs.

conclusionK-ras mutation adversely affected the clinical response and survival of NSCLC patients treated with EGFR-TKIs. PIK3CA mutation showed similar trends. In addition to EGFR, adding K-ras and PIK3CA as routine gene biomarkers in clinical genetic analysis is valuable to optimize the effectiveness of EGFR-TKI regimens and identify optimal patients who will benefit from EGFR-TKI treatment.

Indexed as

K-rasmeta-analysisNon-small cell lung cancer (NSCLC)PIK3CAtargeted therapytyrosine kinase inhibitor (TKI)

Identifiers

PMID26175928
PMCPMC4493374

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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.