Evidence map›Paper›PMID 35116576›Full record

ArticleTranslational cancer research2021

Identification of key mutations in central nervous diffuse large B-cell lymphoma (DLBCL) by comprehensive analysis between sequencing and TCGA database.

Chunhui Zhou, Yong Cui, Haomin Sun, Fan Yang, Hao Zhao, Luokai Huangfu, Jianning Zhang

Open access · diamondAbstract read
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Article in Translational cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

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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

2 citing papers in PubMed, 2 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

7 authors at 3 institutions in 1 country.

Chunhui ZhouMedical School of Chinese PLA, Beijing, China.
Yong CuiDepartment of Neurosurgery, Third Affiliated Hospital of Second Military Medical University, Shanghai, China.
Haomin SunMedical School of Chinese PLA, Beijing, China.
Fan YangMedical School of Chinese PLA, Beijing, China.
Hao ZhaoMedical School of Chinese PLA, Beijing, China.
Luokai HuangfuMedical School of Chinese PLA, Beijing, China.
Jianning ZhangMedical School of Chinese PLA, Beijing, China.
PLA Academy of Military Science · CNChinese PLA General Hospital · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin's lymphoma, and hence, a comprehensive understanding based on the gene expression profile is imperative. Although several studies have identified some critical mutant genes of DLBCL, the disease in the central nervous system has not been investigated clearly. This study is aimed to identify some novel and important mutant genes of DLBCL in central nervous system.

methodsA total of 156 cases of central nervous tumors were collected from 2016 to 2018, in which the DLBCL cases were confirmed by H&E staining and immunohistochemistry. With the whole-genome high-throughput sequencing, the mutations of samples were identified. By matching with TCGA database, the common mutations of DLBCL were further confirmed.

resultsTwelve cases were designated as DLBCL, of which 1 case was classified into germinal center B cell (GCB) subtype, and 11 cases were non-GCB subtypes. The gene mutation spectrum demonstrated that the most common substitutions of six single bases were C>T/G>A, wherein the mutation frequency of C(C>T) G was the highest. The most common type of mutation is missense, and the most frequently mutated genes included

conclusionsTaken together, the analysis of the TCGA database and the results of the sequencing experiment displayed four mutations that might provide novel targets for the treatment of DLBCL.

Indexed as

Diffuse large B-cell lymphoma (DLBCL)significantly mutated genes (SMG)whole-genome high-throughput sequencing

Identifiers

PMID35116576
PMCPMC8799296
OpenAlexW3174579328

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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.