Evidence map›Paper›PMID 24859833›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Polymorphisms in ERCC1 gene could predict clinical outcome of platinum-based chemotherapy for non-small cell lung cancer patients.

Xin Zhao, Zhiqiang Zhang, Yan Yuan, Xiaomei Yuan

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Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 5 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

14 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  6. Review
  7. Genetic signatures ofOncology research · 2025
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  8. Association ofJournal of research in health sciences · 2024
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  10. Effect ofArchives of medical science : AMS · 2021
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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

4 authors.

Xin ZhaoDepartment of Respiration, The First Affiliated Hospital of Xinxiang Medical University, Wei Hui, 453100, China, chenzhong18@yeah.net.
Zhiqiang Zhang
Yan Yuan
Xiaomei Yuan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyzed the role of three common single-nucleotide polymorphisms (SNPs) of ERCC1 in predicting the tumor responses and the survival of non-small cell lung cancer (NSCLC) patients who received platinum-based chemotherapy. One hundred ninety-two patients who were identified as stage IV or IIIB/A NSCLC were collected between January 2008 and December 2009. ERCC1 rs11615, rs3212986, and rs2298881 were selected and genotyped by MassARRAY® Analyzer 4 system. One hundred three (53.65 %) patients showed a CR and PR to chemotherapy, and 81 (42.19 %) patients died from NSCLC with the median OS of 35.82 ± 15.19 months. Multivariate regression analysis showed that rs11615 TT genotype and T allele were associated with optimal response to chemotherapy, and rs3212986 AA and A allele were correlated with better response to chemotherapy. Cox regression showed that patients carrying the rs11615 TT genotype and T allele and the rs3212986 AA genotype and A allele were significantly associated with higher risk of death from NSCLC. In conclusion, ERCC1 rs11615 and rs3212986 polymorphism were associated with a poor response to chemotherapy and shorter survival time of advanced NSCLC. ERCC1 rs11615 and rs3212986 polymorphisms may be helpful for designing individualized cancer treatment for NSCLC patients.

Indexed as

Polymorphism, GeneticAdultAgedCarcinoma, Non-Small-Cell LungDNA-Binding ProteinsEndonucleasesFemaleHumansLung NeoplasmsMaleMiddle AgedPlatinumProportional Hazards ModelsDNA-Binding ProteinsEndonucleasesERCC1 protein, humanPlatinum

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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.