Evidence map›Paper›PMID 31065835›Full record

ArticleInternational journal of clinical oncology2019

Mutation landscape and tumor mutation burden analysis of Chinese patients with pulmonary sarcomatoid carcinomas.

Xiaohong Liang, Qing Li, Bin Xu, Song Hu, Qianyun Wang, Yan Li, Yun Zong, Sujuan Zhang, Chong Li

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In one paragraph

Article in International journal of clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 32 citations in OpenAlex.

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  5. Targeted therapy for rare lung cancers: Status, challenges, and prospects.Molecular therapy : the journal of the American Society of Gene Therapy · 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

9 authors at 1 institution in 1 country.

Xiaohong LiangDepartment of Respiratory Medicine, The Third Affiliated Hospital of Soochow University, No.185, Juqian Road, Tianning District, Changzhou City, Jiangsu Province, People's Republic of China.
Qing LiDepartment of Pathology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, People's Republic of China.
Bin XuCancer Center, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, People's Republic of China.
Song HuDepartment of Respiratory Medicine, The Third Affiliated Hospital of Soochow University, No.185, Juqian Road, Tianning District, Changzhou City, Jiangsu Province, People's Republic of China.
Qianyun WangDepartment of Thoracic Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, People's Republic of China.
Yan LiDepartment of Respiratory Medicine, The Third Affiliated Hospital of Soochow University, No.185, Juqian Road, Tianning District, Changzhou City, Jiangsu Province, People's Republic of China.
Yun ZongDepartment of Respiratory Medicine, The Third Affiliated Hospital of Soochow University, No.185, Juqian Road, Tianning District, Changzhou City, Jiangsu Province, People's Republic of China.
Sujuan ZhangDepartment of Respiratory Medicine, The Third Affiliated Hospital of Soochow University, No.185, Juqian Road, Tianning District, Changzhou City, Jiangsu Province, People's Republic of China.
Chong LiDepartment of Respiratory Medicine, The Third Affiliated Hospital of Soochow University, No.185, Juqian Road, Tianning District, Changzhou City, Jiangsu Province, People's Republic of China. zeyou06@163.com.ORCID http://orcid.org/0000-0002-9215-6779
Soochow University · CN

Funding

the International Science and Technology Cooperation Project of Changzhou Science and Technology bureau CZ20140016
6 · The paper itself

Abstract

introductionPulmonary sarcomatoid carcinoma (PSC) is a group of rare tumors with the presence of both cancerous and sarcoma components in tumor. In this study, we explore their cancer genomic background and the relationship with clinical prognosis. MATERIALS AND

methodsA cohort of 32 PSC patients were retrospectively collected from the First People's Hospital of Changzhou between 2005 and 2016. Targeted next-generation sequencing (NGS) of 416 cancer-relevant genes was performed on 32 PSC tumors.

resultsEGFR (28%), KRAS (22%), and MET (16%) are the most commonly mutated oncogenes, while the top mutated tumor suppressor genes are TP53 (69%) and RB1 (25%). The majority of EGFR mutations are rare mutations, some of which have not been reported before. Moreover, 4 out of 6 MET alterations are exon 14 skipping, far more frequent than in NSCLC. Interestingly, ARID1A was found to be co-mutated with TP53 at all times. The tumor mutation burden (TMB) is ranging from 3.3 to 52.2 per megabase (MB) with a median of 11.7 per MB and 13 patients have more than 20 mutations per MB. Patients mutated in BRCA2, KMT2B, SMARCA4 or TSC2 have significantly higher TMB compared to patients with wide-type genes.

conclusionOur study characterizes the genetic background of Chinese PSC patients and demonstrates the importance of involving EGFR rare mutations and MET exon 14 skipping targeted therapies into clinical trials for treating PSC patients. High TMB are seen in about 40.6% Chinese patients with PSC, which could benefit from immune checkpoint inhibitors.

Indexed as

MutationAdultAgedAsian PeopleCarcinoma, Non-Small-Cell LungCohort StudiesDNA-Binding ProteinsDNA HelicasesErbB ReceptorsExonsFemaleHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMaleMiddle AgedARID1A protein, humanDNA-Binding ProteinsDNA HelicasesEGFR protein, humanErbB ReceptorsKRAS protein, humanMET protein, humanNuclear ProteinsProto-Oncogene Proteins c-metProto-Oncogene Proteins p21(ras)SMARCA4 protein, humanTranscription FactorsGenomic mutationPulmonary sarcomatoid carcinomaTargeted next-generation sequencingTumor mutation burden

Identifiers

PMID31065835
OpenAlexW2944291833

What OpenQuestion holds

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Registered trials

None linked

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.