Evidence map›Paper›PMID 34745455›Full record

ArticleComputational and structural biotechnology journal2021

Multiomics analysis of tumor mutational burden across cancer types.

Lin Li, Long Bai, Huan Lin, Lin Dong, Rumeng Zhang, Xiao Cheng, Zexian Liu, Yi Ouyang, Keshuo Ding

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 26 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

9 authors at 3 institutions in 1 country.

Lin LiDepartment of Pathology, School of Basic Medicine, Anhui Medical University, Hefei, Anhui 230032, China.
Long BaiState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Huan LinThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Lin DongDepartment of Pathology, School of Basic Medicine, Anhui Medical University, Hefei, Anhui 230032, China.
Rumeng ZhangDepartment of Pathology, School of Basic Medicine, Anhui Medical University, Hefei, Anhui 230032, China.
Xiao ChengDepartment of Pathology, School of Basic Medicine, Anhui Medical University, Hefei, Anhui 230032, China.
Zexian LiuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Yi OuyangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Keshuo DingDepartment of Pathology, School of Basic Medicine, Anhui Medical University, Hefei, Anhui 230032, China.
Anhui Medical University · CNSun Yat-sen University · CNGuangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whether tumor mutational burden (TMB) is related to improved survival outcomes or the promotion of immunotherapy in various malignant tumors remains controversial, and we lack a comprehensive understanding of TMB across cancers. Based on the data obtained from The Cancer Genome Atlas (TCGA), we conducted a multiomics analysis of TMB across 21 cancer types to identify characteristics related to TMB and determine the mechanism as it relates to prognosis, gene expression, gene mutation and signaling pathways. In our study, TMB was found to have a significant relationship with prognosis for 21 tumors, and the relationship was different in different tumors. TMB may also be related to different outcomes for patients with different tumor subtypes. TMB was confirmed to be correlated with clinical information, such as age and sex. Mutations in

Indexed as

Differential expressionImmunologyMolecular alterationsSignaling pathwaySurvivalTumor mutational burden (TMB)

Identifiers

PMID34745455
PMCPMC8531462
OpenAlexW3206486751

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.