Evidence map›Paper›PMID 35935979›Full record

ArticleFrontiers in immunology2022

A Signature Based on Costimulatory Molecules for the Assessment of Prognosis and Immune Characteristics in Patients With Stomach Adenocarcinoma.

Bangjie Chen, Yong Yao, Deshen Mao, Conghan Li, Xingyu Wang, Shuyan Sheng, Lizhi Zhang, Xinyi Wang, Sanwei Chen, Wentao Xu and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 5 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

17 authors at 6 institutions in 2 countries.

Bangjie ChenFirst Clinical Medical College (First Affiliated Hospital), Anhui Medical University, Hefei, China.
Yong YaoSchool of Life Sciences, Anhui Medical University, Hefei, China.
Deshen MaoFirst Clinical Medical College (First Affiliated Hospital), Anhui Medical University, Hefei, China.
Conghan LiFirst Clinical Medical College (First Affiliated Hospital), Anhui Medical University, Hefei, China.
Xingyu WangSchool of Basic Medicine, Anhui Medical University, Hefei, China.
Shuyan ShengFirst Clinical Medical College (First Affiliated Hospital), Anhui Medical University, Hefei, China.
Lizhi ZhangFirst Clinical Medical College (First Affiliated Hospital), Anhui Medical University, Hefei, China.
Xinyi WangFirst Clinical Medical College (First Affiliated Hospital), Anhui Medical University, Hefei, China.
Sanwei ChenFirst Clinical Medical College (First Affiliated Hospital), Anhui Medical University, Hefei, China.
Wentao XuFirst Clinical Medical College (First Affiliated Hospital), Anhui Medical University, Hefei, China.
Jianyi DengFirst Clinical Medical College (First Affiliated Hospital), Anhui Medical University, Hefei, China.
Chenyu SunAMITA Health Saint Joseph Hospital Chicago, University of Illinois Chicago, Chicago, IL, United States.
Qin ZhouRadiation Oncology, Mayo Clinic, Rochester, MN, United States.
Scott LoweMedical College, Kansas City University, Kansas, MO, United States.
Rachel BentleyMedical College, Kansas City University, Kansas, MO, United States.
Wei ShaoSchool of Basic Medicine, Anhui Medical University, Hefei, China.
Haiwen LiDepartment of Gastroenterology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Anhui Medical University · CNAnhui Medical University · CNKansas City University · USFirst Affiliated Hospital of Zhengzhou University · CNMayo Clinic in Arizona · USSaint Joseph Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although costimulatory molecules have been shown to boost antitumor immune responses, their significance in stomach adenocarcinoma (STAD) remains unknown. The purpose of this study was to examine the gene expression patterns of costimulatory molecule genes in patients with STAD and develop a predictive signature to aid in therapy selection and outcome prediction. We used 60 costimulatory family genes from prior research to conduct the first complete costimulatory molecular analysis in patients with STAD. In the two study groups, consensus clustering analysis based on these 60 genes indicated unique distribution patterns and prognostic differences. Using the least absolute shrinkage and selection operator and Cox regression analysis, we identified nine costimulatory molecular gene pairs (CMGPs) with prognostic value. With these nine CMGPs, we were able to develop a costimulatory molecule-related prognostic signature that performed well in an external dataset. For the patients with STAD, the signature was proven to be a risk factor independent of the clinical characteristics, indicating that this signature may be employed in conjunction with clinical considerations. A further connection between the signature and immunotherapy response was discovered. The patients with high mutation rates, an abundance of infiltrating immune cells, and an immunosuppressive milieu were classified as high-risk patients. It is possible that these high-risk patients have a better prognosis for immunotherapy since they have higher cytolytic activity scores and immunophenoscores of CTLA4 and PD-L1/PD-L2 blockers. Therefore, our signature may help clinicians in assessing patient prognosis and developing treatment plans.

Indexed as

AdenocarcinomaStomach NeoplasmsBiomarkers, TumorHumansPrognosisTranscription FactorsBiomarkers, TumorTranscription Factorscostimulatory moleculeimmunotherapynomogramprognostic signatureSTAD

Identifiers

PMID35935979
PMCPMC9353527
OpenAlexW4286462185

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.