Evidence map›Paper›PMID 34908867›Full record

ArticleInternational journal of general medicine2021

Identification and Development of Subtypes with Poor Prognosis in Gastric Cancer Based on Both Hypoxia and Immune Cell Infiltration.

Yao Wang, Jingjing Sun, Yang Yang, Sonia Zebaze Dongmo, Yeben Qian, Zhen Wang

Open access · goldAbstract read
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Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Yao Wang *Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
Jingjing Sun *Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
Yang Yang *Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
Sonia Zebaze DongmoDepartment of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
Yeben QianDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
Zhen WangDepartment of General Surgery, Feixi County People's Hospital, Hefei, People's Republic of China.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHypoxia and immune cell infiltration play an important role in the progression and metastasis of gastric cancer. However, the molecular classification of gastric cancer combined with hypoxia and immune cell infiltration remains unknown. MATERIALS AND

methodsssGSEA was used to evaluate the hypoxic state and immune cell infiltration of 1059 gastric cancer samples collected from the GEO and TCGA database. Based on the results, unsupervised clustering was performed to obtain different gastric cancer subtypes. The differentially expressed genes related to OS between these subtypes were utilized for LASSO analysis to construct a prognostic signature (HIscore). Subsequently, small-molecule drugs were predicted using the Connectivity Map (CMAP) database.

resultsWe obtained three hypoxic-immune infiltration patterns (HIcluster A-C) with different prognoses and classified them as low hypoxic/low immune, high hypoxic/high immune, and low hypoxic/high immune subtypes. Based on the differential genes between HIclusters, we have also obtained other three gastric cancer subtypes (genecluster A-C) and a 13-gene signature (HIscore). At the same time, we extensively explored the clinical and transcriptome traits in different clusters and groups with high or low HIscore. We proved that HIscore is an independent prognostic biomarker and an indicator of genome stability and EMT. Using the CMAP database, we found 96 small-molecule drugs that could reverse the poor prognosis and could serve as therapeutic drugs, especially for gastric cancer patients with high HIscore.

conclusionOur study evaluated the hypoxic state and immune cell infiltration in gastric tumors, and identified different gastric cancer subtypes. In addition, we established a hypoxia-immune signature to predict prognosis which is tightly linked to tumor EMT and genomic stability. Based on HIscore, we used the CMAP database to explore small-molecule drugs that may have the potential in serving as therapeutic drugs.

Indexed as

genome instabilityhypoxiamicrosatellitesmutation burdentumor microenvironment

Identifiers

PMID34908867
PMCPMC8664384
OpenAlexW4200557670

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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.