Evidence map›Paper›PMID 32291971›Full record

ArticleThoracic cancer2020

Mutational landscape and characteristics of ERBB2 in non-small cell lung cancer.

Xue-Wu Wei, Xin Gao, Xu-Chao Zhang, Jin-Ji Yang, Zhi-Hong Chen, Yi-Long Wu, Qing Zhou

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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  15. Exploring the correlation between HER2 alterations andJournal of cancer research and clinical oncology · 2023
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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

7 authors at 2 institutions in 1 country.

Xue-Wu WeiGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.
Xin GaoThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Xu-Chao ZhangGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.ORCID 0000-0002-4138-8115
Jin-Ji YangGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.ORCID 0000-0002-8498-0119
Zhi-Hong ChenGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.
Yi-Long WuGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.
Qing ZhouGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.ORCID 0000-0002-0478-176X
Guangdong Academy of Medical Sciences · CNSecond Affiliated Hospital of Guangzhou Medical University · CN

Funding

Guangdong Provincial Key Laboratory of Lung Cancer Translational Medicine 2017B030314120High-level Hospital Construction Project DFJH201810National Key R&D Program of China 2016YFC1303800National Natural Science Foundation of China 81871891
6 · The paper itself

Abstract

backgroundTyrosine kinase domain (TKD) mutation and particularly exon 20 insertion mutations of ERBB2 have been extensively reported in non-small cell lung cancer (NSCLC). Due to the increased accessibility of next-generation sequencing, more ERBB2 mutations within the non-TKD can be detected in clinical practice. Nevertheless, the clinical significance of non-TKD mutations remains unknown. Hence, this study was designed to comprehensively outline the landscape and characteristics of ERBB2 mutations in NSCLC.

methodsA total of 1934 patients with NSCLC from cBioPortal were included in the study. An ERBB2 mutation cohort was identified, while subsequent analyses revealed clinical and genomic characteristics.

resultsThe frequency of ERBB2 mutation was 4.5%, and it was determined to be more likely to occur in never-smokers. ERBB2 mutations occurring in the non-TKD accounted for 57.5% of ERBB2 mutations. In the non-TKD, missense mutation was the most recurrent mutation type, and S310F was the most recurrent mutation variant. ERBB2 mutations within non-TKD also had a strong oncogenic ability where up to 37.5% of ERBB2 oncogenic mutations were within non-TKD. The co-mutation of EGFR or KRAS was higher in the non-TKD mutation compared to the TKD mutation. Shorter overall survival was observed in ERBB2-mutant patients compared with ERBB2 wild-type patients. There was no significant difference in overall survival between patients with non-TKD mutations and TKD mutations.

conclusionsThe present study showed that a considerable portion of non-TKD mutations were oncogenic. ERBB2 mutation was a poor prognostic factor. The non-TKD mutation might also be used as a therapeutic target in ERBB2-directed target therapy. KEY POINTS: • Significant findings of the study ERBB2 mutations were more abundant within a nontyrosine domain than those within the tyrosine domain. Up to 37.5% of ERBB2 oncogenic mutations were within the nontyrosine domain. ERBB2 mutation was a poor prognostic factor. • What this study adds The frequency of EGFR or KRAS co-mutations were significantly higher in ERBB2 mutations within the nontyrosine kinase domain compared to ERBB2 mutations within the tyrosine kinase domain. Nontyrosine domain mutations confer equal overall survival to tyrosine domain mutations.

Indexed as

MutationAdenocarcinoma of LungAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMalePrognosisSurvival RateBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesCo-mutationERBB2 mutationnon-small cell lung canceroncogenic functionprognosis

Identifiers

PMID32291971
PMCPMC7262945
OpenAlexW3015295246

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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.