Evidence map›Paper›PMID 40877495›Full record

ArticleNPJ precision oncology2025

Applying next-generation sequencing to detect microsatellite instability in pan-cancer patients: a retrospective study of 35,563 Chinese cases.

Yun Shang, Longfeng Yang, Pengtao Hu, Sihui Zhao, Jianbiao Xu, Yanwei Zhao, Xing Ren, Ding Zhang, Qingzhong He, Xuefei Liu

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

10 authors.

Yun Shang *Department of Gastrointestinal and Bariatric Metabolic Surgery, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Longfeng Yang *Department of Pulmonary and Critical Care Medicine, Heyuan People's Hospital, Guangdong Provincial People's Hospital Heyuan Hospital, Heyuan, Guangdong, China.
Pengtao Hu *Department of Data System, 3DMed Biomedical Technology Co. Ltd., Shanghai, China.
Sihui ZhaoDepartment of Gastrointestinal and Bariatric Metabolic Surgery, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Jianbiao XuDepartment of Gastrointestinal and Bariatric Metabolic Surgery, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Yanwei ZhaoR&D Department of Diagnostics, 3DMed Biomedical Technology Co. Ltd., Shanghai, China.
Xing RenDepartment of Data System, 3DMed Biomedical Technology Co. Ltd., Shanghai, China.
Ding ZhangBusiness Department of Oncology LDT, 3DMed Biomedical Technology Co. Ltd., Shanghai, China.
Qingzhong HeDepartment of Data System, 3DMed Biomedical Technology Co. Ltd., Shanghai, China. qingzhong.he@3dmedcare.com.
Xuefei LiuDepartment of Oncology, General Hospital of Northern Theater Command, Shenyang, Liaoning, China. feiliu6@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microsatellite instability (MSI) serves as an important therapeutic and prognostic marker. Immunohistochemistry (IHC) and polymerase chain reaction (PCR) have long been regarded as the "gold standard" for MSI detection. In recent years, next-generation sequencing (NGS)-based methods, offering expanded target coverage of microsatellite (MS) loci and improved analytical performance, have gained widespread acceptance. However, discrepancies between NGS and traditional methods have been occasionally reported. In this study, we conducted a large-scale retrospective analysis of MSI results of 35,563 Chinese pan-cancer cases which underwent a NGS test in a central clinical laboratory. Our work introduced a novel algorithm for NGS-based MSI detection, examined MSI-H prevalence and value distribution across cancer types, identifies MSI-associated genes and variants, evaluates the MSI detection discordance between PCR and NGS in a pan-cancer context, and distilled 7 MS loci suitable for pan-cancer MSI detection.

Identifiers

PMID40877495
PMCPMC12394622

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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.