Evidence map›Paper›PMID 34795697›Full record

ArticleFrontiers in genetics2021

Yuanyuan Sun, Long Li, Wenchao Yao, Xuxu Liu, Yang Yang, Biao Ma, Dongbo Xue

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.7field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

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  10. Journal of Zhejiang University. Science. B · 2023
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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 2 institutions in 1 country.

Yuanyuan SunLaboratory of Hepatosplenic Surgery, Department of General Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Long LiLaboratory of Hepatosplenic Surgery, Department of General Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Wenchao YaoLaboratory of Hepatosplenic Surgery, Department of General Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Xuxu LiuLaboratory of Hepatosplenic Surgery, Department of General Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Yang YangLaboratory of Hepatosplenic Surgery, Department of General Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Biao MaLaboratory of Hepatosplenic Surgery, Department of General Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Dongbo XueLaboratory of Hepatosplenic Surgery, Department of General Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Harbin Medical University · CNFirst Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colon adenocarcinoma (COAD) is one of the diseases with the highest morbidity and mortality in the world. At present, immunotherapy has become a valuable method for the treatment of COAD. Tumor mutational burden (TMB) is considered to be the most common biomarker for predicting immunotherapy. According to reports, the mutation rate of COAD ranks third. However, whether these gene mutations are related to TMB and immune response is still unknown. Here, COAD somatic mutation data were downloaded from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. Bioinformatics methods were used to study the relationships among gene mutations, COAD survival prognosis, and tumor immune response. A total of 22 of the top 40 mutations in TCGA and ICGC databases were the same. Among them, the

Indexed as

bioinformatics analysiscolon adenocarcinomaimmunotherapy responsetumor mutation burdenUSH2A

Identifiers

PMID34795697
PMCPMC8593250
OpenAlexW3211121732

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.