Evidence map›Paper›PMID 26269114›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Polymorphisms in epidermal growth factor receptor (EGFR) and AKT1 as possible predictors of clinical outcome in advanced non-small-cell lung cancer patients treated with EGFR tyrosine kinase inhibitors.

Xiaoqing Zhang, Junwei Fan, Yuping Li, Shengtao Lin, Ping Shu, Jian Ni, Shengying Qin, Zhemin Zhang

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Uncovering the Anti-Lung-Cancer Mechanisms of the Herbal Drug FDY2004 by Network Pharmacology.Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
  6. Journal of oncology · 2020
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
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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

8 authors at 3 institutions in 1 country.

Xiaoqing ZhangDepartment of Pharmacy, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Junwei FanDepartment of Hepatobiliary Pancreatic Surgery, Shanghai First People's Hospital, Shanghai Jiaotong University, Shanghai, China.
Yuping LiDepartment of Pharmacy, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Shengtao LinDepartment of Hepatobiliary Pancreatic Surgery, Shanghai First People's Hospital, Shanghai Jiaotong University, Shanghai, China.
Ping ShuDepartment of Pharmacy, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Jian NiDepartment of Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Yangpu District Zhengmin Road, Shanghai, China.
Shengying QinBio-X Life Science Research Center, Shanghai Jiao Tong University, Shanghai, China.
Zhemin ZhangDepartment of Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Yangpu District Zhengmin Road, Shanghai, China. lungzhangzhemin@163.com.
Tongji University · CNShanghai Jiao Tong University · CNShanghai Pulmonary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the association of epidermal growth factor receptor (EGFR) gene polymorphism and AKT1 polymorphism with the clinical outcomes in advanced non-small cell lung cancer (NSCLC) patients treated with EGFR tyrosine kinase inhibitors (EGFR-TKIs). The clinical outcome and the survival of NSCLC of 230 patients after treatment with EGFR-TKIs were measured. The rs712829, rs1468727 of the EGFR gene and rs1130214 of the AKT1 gene from peripheral blood cell were detected by a multiplexed single nucleotide polymorphism (SNP) MassEXTEND assay. The relationship between genetic polymorphisms and clinical outcomes of treatment with EGFR-TKIs was analyzed. The response rates and the disease control rate of patients with genotype GG, GT, and TT in EGFR rs712829 were statistically very significant difference(19.7 vs 36.1 vs 50.0 %, P = 0.016 and 57.7 vs 77.8 vs 83.3 %, P = 0.026, respectively). Better disease control was also achieved in patients with the GG genotype of AKT1 rs1130214 than those with the GT and TT genotypes (65.6 vs. 48.7 %, P = 0.043). Patients carrying the EGFR rs712829 TT genotype had significantly longer PFS and OS than those with the GT or GG genotypes (9.0 vs. 7.0 vs. 5.0 months, P = 0.001 and 13.1 vs. 14.6 vs. 18.8 months, P = 0.008, respectively). In addition, patients carrying the AKT1 rs1130214 GG genotype also had significantly longer PFS than those with the GT and TT genotypes (5.5 vs. 4.5 months, P = 0.008). EGFR rs712829 polymorphism and AKT1 rs1130214 could influence the response to EGFR-TKIs therapy in patients with advanced NSCLC.

Indexed as

AdultAgedAged, 80 and overAntineoplastic AgentsCarcinoma, Non-Small-Cell LungErbB ReceptorsFemaleGenotypeHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedMolecular Targeted TherapyMutationNeoplasm StagingAKT1 protein, humanAntineoplastic AgentsErbB ReceptorsProtein Kinase InhibitorsProto-Oncogene Proteins c-aktEGFR tyrosine kinase inhibitorLung cancerPolymorphism

Identifiers

PMID26269114
OpenAlexW1166095076

What OpenQuestion holds

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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.