Evidence map›Paper›PMID 37967237›Full record

ArticleAnnals of medicine2023

Copy number variants landscape of multiple cancers and clinical applications based on NGS gene panel.

Kangpeng Yan, Li Niu, Boyu Wu, Chongwu He, Lei Deng, Chuan Chen, Zhangzhang Lan, Chao Lin, Weihua Kuang, Huihong Lin and 3 more

Open access · goldAbstract read
In one paragraph

Article in Annals of medicine, 2023. 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
2.6field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

13 authors at 4 institutions in 1 country.

Kangpeng YanDepartment of Abdominal Oncology Surgery, Jiangxi Cancer Hospital, Nanchang, China.
Li NiuCheerLand Clinical Laboratory Co., Ltd., Peking University Medical Industrial Park, Zhongguancun Life Science Park, Beijing, China.
Boyu WuDepartment of General Surgery, Shangrao Municipal Hospital, Shangrao, China.
Chongwu HeDepartment of Breast Surgery, Jiangxi Cancer Hospital, Nanchang, China.
Lei DengDepartment of Medical Oncology, Jiangxi Cancer Hospital, Nanchang, China.
Chuan ChenShenzhen Cheerland Biotechnology Co., Ltd., Shenzhen, China.
Zhangzhang LanSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Chao LinDepartment of Abdominal Oncology Surgery, Jiangxi Cancer Hospital, Nanchang, China.
Weihua KuangDepartment of Abdominal Oncology Surgery, Jiangxi Cancer Hospital, Nanchang, China.
Huihong LinOperating Room, Jiangxi Cancer Hospital, Nanchang, China.
Jun ZouDepartment of Abdominal Oncology Surgery, Jiangxi Cancer Hospital, Nanchang, China.
Wenyong ZhangSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Zhiqiang LuoChest Radiotherapy Department 1, Jiangxi Cancer Hospital, Nanchang, China.
Jiangxi Provincial Cancer Hospital · CNSouthern University of Science and Technology · CNPeking University · CNShangrao Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid adoption of next-generation sequencing in clinical oncology has enabled detection of molecular biomarkers which are shared between multiple tumour types. Intra-tumour heterogeneity is a mechanism of therapeutic resistance and therefore an important clinical challenge. However, the tumour-related copy number variants (CNVs), as key regulators of cancer origination, development, and progression, across various types of cancers are poorly understood.

methodsWe performed pan-cancer CNV analysis of cancer-related genes in 15 types of cancers including 1438 cancerous patients by next-generation sequencing using a commercially available pan-cancer panel (Onco PanScan™). Downstream bioinformatics analysis was performed in order to detect CNVs, cluster analysis of the found CNVs, and comparison of the frequency of gained CNVs between different types of cancers. LASSO analysis was used for identification of the most important CNVs.

resultsWe also identified 523 CNVs among which 16 CNVs were common while 22 CNVs were caner-specific CNVs. Meanwhile, FAM58A was most commonly found in all studied cancers in this study and significant differences were found in FAM58A between female and male patients (

conclusionThe 16 common CNVs between cancers can be used to identify the target of pan-cancer drug design and targeted therapies. Additionally, 22 caner-specific CNVs can be used as unique diagnostic markers for each cancer type.

Indexed as

DNA Copy Number VariationsNeoplasmsComputational BiologyFemaleHumansKelch-Like ECH-Associated Protein 1MaleNF-E2-Related Factor 2Kelch-Like ECH-Associated Protein 1NF-E2-Related Factor 2cluster analysiscopy number variantsGO and KEGG analysisPan-cancer

Identifiers

PMID37967237
PMCPMC10653745
OpenAlexW4388691852

What OpenQuestion holds

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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.