Evidence map›Paper›PMID 24562619›Full record

ArticleJournal of cancer research and clinical oncology2014

The use of mutation-specific antibodies in predicting the effect of EGFR-TKIs in patients with non-small-cell lung cancer.

Jingya Zhao, Xiaoying Wang, Liang Xue, Nuo Xu, Xin Ye, Haiying Zeng, Shaohua Lu, Jie Huang, Sujie Akesu, Chen Xu and 7 more

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

17 authors.

Jingya ZhaoDepartment of Pulmonary Medicine, Zhongshan Hospital, Fudan University, No.180 Fenglin Rd, Shanghai, 200032, China.
Xiaoying Wang
Liang Xue
Nuo Xu
Xin Ye
Haiying Zeng
Shaohua Lu
Jie Huang
Sujie Akesu
Chen Xu
Deming He
Yunshan Tan
Qunying Hong
Qun Wang
Guanshan Zhu
Yingyong Hou
Xin Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to quantify the epidermal growth factor receptor (EGFR) mutation in tumors and to analyze its prediction of EGFR-tyrosine kinase inhibitor (EGFR-TKI) treatment efficacy in EGFR mutation-positive non-small-cell lung cancer (NSCLC) patients.

methodsWe examined EGFR mutation status in 124 lung cancer samples by direct sequencing and amplification refractory mutation system. Among them, 41 were appropriate to quantify the expression of mutant EGFR proteins using immunohistochemistry (IHC) with mutation-specific antibodies. The quantification was determined by both the staining intensity and the proportion of stained tumor cells.

resultsThe median progression-free survival (PFS) in patients with a high score for mutant EGFR expression was 18.0 months (95 % CI 16.0-20.0), which was significantly longer than that in patients with a low score (8.0 months; 95 % CI 2.6-13.4; P = 0.048). Such significant association with patients' PFS was also apparent in the proportion of stained tumor cells (median, 19.0 vs. 8.0 months; P = 0.019), but not in the staining intensity (P = 0.787). Among the 41 specimens, 32 were detected EGFR mutation positive by both direct sequencing and ARMS, referring to a relatively high abundance of mutation, and 26 (81.3 %) of them gained a high expression score of mutant proteins as well. Six samples with mutation negative by direct sequencing but positive by ARMS, which showed a low abundance, and 5 (83.3 %) of them also revealed a low expression score. The EGFR mutation quantitative analysis using mutation-specific IHC was moderately consistent with that by molecular-based assays (P = 0.001, kappa value 0.50).

conclusionsOur results suggest that immunohistochemical analysis with mutation-specific antibodies is a promising approach for quantifying EGFR mutations, and may predict the effect of EGFR-TKI treatment for EGFR mutation-positive NSCLC.

Indexed as

MutationAdultAgedAged, 80 and overAntibodiesCarcinoma, Non-Small-Cell LungDisease-Free SurvivalErbB ReceptorsFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedProtein Kinase InhibitorsAntibodiesEGFR protein, humanErbB ReceptorsProtein Kinase Inhibitors

Identifiers

PMID24562619
PMCPMC11823527

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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.