Evidence map›Paper›PMID 38187003›Full record

ArticleAmerican journal of translational research2023

The role of senescence genes in the treatment, prognosis, and tumor microenvironment of gastric cancer.

Jinfeng Xuan, Feng Li, Jiongxian Li, Chao Gong, Jiaming Li, Zhenchang Mo, Qinwen Jin

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in American journal of translational research, 2023. 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
0.8field-weighted citation impact, top 23% 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, 3 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 2 institutions in 1 country.

Jinfeng XuanDepartment of Gastrointestinal Surgery, Wuzhou Red Cross Hospital 3-1 Xinxing 1st Road, Wanxiu District, Wuzhou 543000, Guangxi Zhuang Autonomous Region, China.
Feng LiDepartment of Gastrointestinal Surgery, Wuzhou Red Cross Hospital 3-1 Xinxing 1st Road, Wanxiu District, Wuzhou 543000, Guangxi Zhuang Autonomous Region, China.
Jiongxian LiDepartment of Gastrointestinal Surgery, Wuzhou Red Cross Hospital 3-1 Xinxing 1st Road, Wanxiu District, Wuzhou 543000, Guangxi Zhuang Autonomous Region, China.
Chao GongDepartment of Gastrointestinal Surgery, Wuzhou Red Cross Hospital 3-1 Xinxing 1st Road, Wanxiu District, Wuzhou 543000, Guangxi Zhuang Autonomous Region, China.
Jiaming LiDepartment of Gastrointestinal Surgery, Wuzhou Red Cross Hospital 3-1 Xinxing 1st Road, Wanxiu District, Wuzhou 543000, Guangxi Zhuang Autonomous Region, China.
Zhenchang MoDepartment of Gastrointestinal Surgery, Wuzhou Red Cross Hospital 3-1 Xinxing 1st Road, Wanxiu District, Wuzhou 543000, Guangxi Zhuang Autonomous Region, China.
Qinwen JinDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital 71 Hedi Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Wuzhou Red Cross Hospital · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimGastric cancer (GC) has a high incidence and poor prognosis. Senescence genes are suggested to participate in immune cell infiltration, thus affecting the immunotherapy of GC. In this research, we established a senescence-related GC model to explore and verify the role of senescence genes in the prognosis, treatment, and tumor microenvironment (TME) of GC.

methodsThe TCGA GC (TCGA-STAD) dataset was used to screen key senescence genes from differentially expressed genes (DEGs). A prognostic risk model was trained utilizing the TCGA-STAD dataset and validated using an external GEO dataset. The CIBERSORT algorithm was run to explore the relationship between senescence genes and TME. The chemotherapy drug sensitivities in GC patients were calculated utilizing R package pRRophetic.

resultsA total of 37 senescence-related DEGs were obtained. Five key senescence-related genes were further screened to establish a senescence-related risk model based on Cox regression. The survival status of GC patients in the high-risk group was found to be worse than that in the low-risk group. According to the results of gene set enrichment analysis, the senescence-related risk was mainly associated with cytokine activity, immune mechanism, and related pathways. By analyzing the sensitivity of common chemotherapy drugs in GC patients, it was revealed that the sensitivities of high-risk patients to Dasatinib, Lapatinib, and Pazopanib were lower than those of low-risk patients. The CIBERSORT algorithm was executed to analyze the TME in the high-risk group, revealing elevated levels of CD8 T cells, Macrophages M2, and resting Mast cells. In addition, decreased levels of resting memory CD4 T cells , resting NK cells, activated Dendritic cells, and activated Mast cells were also observed.

conclusionSenescence genes were related to the prognosis, response to chemotherapy drugs, and TME of GC. Our senescence-related risk model could forecast the survival of patients, their response to chemotherapy drugs, and the TME to a certain extent.

Indexed as

gastric cancerimmunotherapyprognostic modelSenescence genesurvival analysistumor microenvironment

Identifiers

PMID38187003
PMCPMC10767519
OpenAlexW4390689627

What OpenQuestion holds

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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.