Evidence map›Paper›PMID 37386336›Full record

ArticleBiochemical genetics2024

Comprehensive Analysis on Prognostic Signature Based on T Cell-Mediated Tumor Killing Related Genes in Gastric Cancer.

Jiabao Zhai, Chuang Nie, Wanyu Wang, Chang Liu, Tianyu Liu, Lishuang Sun, Wei Li, Wentong Wang, Xiyun Ren, Xu Han and 3 more

Abstract read
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In one paragraph

Article in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 61% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

13 authors at 1 institution in 1 country.

Jiabao Zhai *Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Chuang Nie *Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Wanyu WangDepartment of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Chang LiuDepartment of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Tianyu LiuDepartment of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Lishuang SunDepartment of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Wei LiDepartment of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Wentong WangDepartment of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Xiyun RenDepartment of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Xu HanDepartment of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Haibo ZhouDepartment of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Xin LiDepartment of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China.
Wenjing TianDepartment of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, 150081, Harbin, China. tianwenjing@ems.hrbmu.edu.cn.
Harbin Medical University · CN

Funding

Heilongjiang Provincial Natural Science Foundation of China LH2020H114
6 · The paper itself

Abstract

Although immunotherapy is a valuable treatment for gastric cancer (GC), identifying the patients who would benefit most from this approach presents a challenge. In this study, GC patients were divided into two subtypes by consensus clustering according to T cell-mediated tumor killing related genes (TTKRGs), and there were significant differences in tumor-infiltrating immune cells, signaling pathways, and gene expression of immunomodulators and inhibitory immune checkpoints between the two subtypes. Then, we developed an individualized signature based on TTKRGs, and its clinical and predictive value in GC patients for chemotherapeutic and immunotherapeutic responses was assessed. We confirmed the expression levels of signature genes in GC tumor tissue using quantitative real-time polymerase chain reaction (qRT-PCR). Additionally, to improve the accuracy of GC prognosis predictions, we established a nomogram. We further identified some compounds as sensitive drugs targeting GC risk groups. The signature showed significant predictive ability across RNA-seq, microarray, and qRT-PCR cohorts, which could assist in predicting survival, immunotherapeutic and chemotherapeutic outcomes in GC patients.

Indexed as

Stomach NeoplasmsCluster AnalysisHumansPrognosisRNA-SeqT-LymphocytesGastric cancerImmunePrognostic signatureqRT-PCRSubtypesT cell-mediated tumor killing

Identifiers

PMID37386336
OpenAlexW4382536965

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.