Evidence map›Paper›PMID 32793704›Full record

ArticleAnnals of translational medicine2020

Tumor mutation burden in Chinese cancer patients and the underlying driving pathways of high tumor mutation burden across different cancer types.

Xiao-Dong Jiao, Xiao-Chun Zhang, Bao-Dong Qin, Dong Liu, Liang Liu, Jian-Jiao Ni, Zhou-Yu Ning, Ling-Xiang Chen, Liang-Jun Zhu, Song-Bing Qin and 9 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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  8. [Expert Consensus on Tumor Mutational Burden for Immunotherapy in Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2021
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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

19 authors at 8 institutions in 1 country.

Xiao-Dong JiaoDepartment of Medical Oncology, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Xiao-Chun ZhangDepartment of Medical Oncology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Bao-Dong QinDepartment of Medical Oncology, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Dong LiuDepartment of Medical Oncology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Liang LiuDepartments of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Jian-Jiao NiDepartments of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhou-Yu NingDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Ling-Xiang ChenDepartment of Internal Medicine, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Liang-Jun ZhuDepartment of Internal Medicine, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Song-Bing QinDepartment of Tumor Radiotherapy, The First Affiliated Hospital of Suzhou University, Suzhou, China.
Shen-Peng YingDepartment of Radiotherapy, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China.
Xue-Qin ChenDepartment of Thoracic Oncology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ai-Jun LiDepartment of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai, China.
Ting HouBurning Rock Biotech, Guangzhou, China.
Han Han-ZhangBurning Rock Biotech, Guangzhou, China.
Junyi YeBurning Rock Biotech, Guangzhou, China.
Jingjing ZhengBurning Rock Biotech, Guangzhou, China.
Shannon ChuaiBurning Rock Biotech, Guangzhou, China.
Yuan-Sheng ZangDepartment of Medical Oncology, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Second Military Medical University · CNBurning Rock Biotech (China) · CNFudan University Shanghai Cancer Center · CNQingdao University · CNHangzhou First People's Hospital · CNJiangsu Cancer Hospital · CNNanjing Medical University · CNTaizhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor mutation burden (TMB) has an important association with immunotherapy responses. TMB in the Chinese population has not been well established. Finding differences between the Chinese and Caucasian populations and elucidating the underlying biological mechanisms of high TMB might help develop more precise and effective means for TMB and immunotherapy response prediction.

methodsChinese cancer patients fresh tissue (n=2,177), formalin-fixed, paraffin-embed (FFPE) specimens (n=3,294), and pleural fluid (n=189) were profiled using a 295- or 520-gene next-generation sequencing (NGS) panel. The association of the TMB status with a series of molecular features and biological pathways was determined using bootstrapping.

resultsTMB, measured by 295- or 520-cancer-related gene panels, was correlated with whole-exome sequencing (WES) TMB based on the in silico simulation in The Cancer Genome Atlas cohort. The median TMB of our data was slightly higher than that from the Foundation Medicine Inc. (FMI) dataset. TMB was also slightly different within the same cancer type between the Chinese and Caucasian population. We discovered that the underlying pathways of TMB status varied greatly and sometimes had an opposite association with TMB across different cancer types. Moreover, we developed a 23-gene and a 16-gene signature to predict TMB prediction for lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), respectively, indicating a histology-specific mechanism for driving high-TMB in lung cancer.

conclusionsTMB varies among different ethnic populations. Our findings extend the knowledge of the underlying biological mechanisms for high TMB and might be helpful for developing more precise and accessible TMB assessment panels and algorithms in more cancer types.

Indexed as

cancer-related gene panelChinesegene signatureTumor mutation burden (TMB)

Identifiers

PMID32793704
PMCPMC7396744
OpenAlexW3043104058

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.