Evidence map›Paper›PMID 32572558›Full record

ArticleJournal of cancer research and clinical oncology2020

Mutational profiling of lung adenocarcinoma in China detected by next-generation sequencing.

Xiaoyun Zhou, Xiaohui Xu, Zhenhuan Tian, Wang-Yang Xu, Yushang Cui

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

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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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. RecQ Helicase Somatic Alterations in Cancer.Frontiers in molecular biosciences · 2022
    Review
  5. Review
  6. Article
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

5 authors.

Xiaoyun ZhouDepartment of Thoracic Surgery, Peking Union Medical College Hospital, No. 1, Shuaifuyuan, Wangfujing, Dongcheng, Beijing, 100730, People's Republic of China.
Xiaohui XuDepartment of Thoracic Surgery, Peking Union Medical College Hospital, No. 1, Shuaifuyuan, Wangfujing, Dongcheng, Beijing, 100730, People's Republic of China.
Zhenhuan TianDepartment of Thoracic Surgery, Peking Union Medical College Hospital, No. 1, Shuaifuyuan, Wangfujing, Dongcheng, Beijing, 100730, People's Republic of China.
Wang-Yang XuResearch Center for Experimental Medicine, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Yushang CuiDepartment of Thoracic Surgery, Peking Union Medical College Hospital, No. 1, Shuaifuyuan, Wangfujing, Dongcheng, Beijing, 100730, People's Republic of China. Cuiyushang@sina.com.ORCID http://orcid.org/0000-0001-7309-2178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNSCLC is the most common type of lung cancers. The purpose of this study is to screen cancer-related mutations in early LUAD in China through NGS technology, determine their correlation with clinical characteristics and provide basis for treatment decisions.

methodsIn this study, we performed a 583 gene panel to detect the mutational spectrum of the tumors which were collected from 98 LUAD patients. The sequencing data and clinical characteristics were analyzed.

resultsMutations were identified in 94.9% of patients. EGFR had the highest mutation frequency which was detected in 66% of the patients and was significantly associated with female gender and non-smoking history. Other genes with high mutation frequency were TP53 (37%), ERBB2 (24%), BCOR (22%), ZFHX3 (19%), BTG1 (17%), ATR (16%), WWTR1 (15%), etc. TP53 mutations were significantly associated with medium and low differentiation of tumors; BCOR and BLM mutations with gender; WWTR1 mutations with age; and ATR mutations with visceral pleura invasion were observed. 61% of the patients harbored at less one actionable alteration associated with FDA-recognized or investigational drugs.

conclusionMultiple mutations in LUAD patients in this study have not previously been reported in NSCLC. Moreover, mutations in driver genes including EGFR, TP53, BCOR, BLM, WWTR1, and ATR were significantly related to clinical features. The panel used in this study is an effective approach for molecular analysis and can be applied in personalized treatment decision-making and drug development.

Indexed as

Adenocarcinoma of LungAdultAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell DifferentiationChinaErbB ReceptorsFemaleHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMaleMiddle AgedMutationBiomarkers, TumorErbB ReceptorsLUADMutationsNGSTargeted therapy

Identifiers

PMID32572558
PMCPMC11804368

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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.