Evidence map›Paper›PMID 34680930›Full record

ArticleGenes2021

Pyroptosis Patterns Characterized by Distinct Tumor Microenvironment Infiltration Landscapes in Gastric Cancer.

Renshen Xiang, Yuhang Ge, Wei Song, Jun Ren, Can Kong, Tao Fu

Open access · goldAbstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Predictive significance of MPT-driven necrosis-related genes signature in gastric cancer and their impact on the tumor microenvironment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  5. Application of pyroptosis score in the treatment and prognosis evaluation of gastric cancer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 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

6 authors at 1 institution in 1 country.

Renshen XiangDepartment of Gastrointestinal Surgery II, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0002-8417-4213
Yuhang GeDepartment of Gastrointestinal Surgery II, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0002-2522-1753
Wei SongDepartment of Gastrointestinal Surgery II, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0003-4576-1949
Jun RenDepartment of Gastrointestinal Surgery II, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Can KongDepartment of Gastrointestinal Surgery II, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Tao FuDepartment of Gastrointestinal Surgery II, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0003-4713-7269
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe potential role of pyroptosis in tumor microenvironment (TME) reprogramming and immunotherapy has received increasing attention. As most studies have concentrated on a single TME cell type or a single pyroptosis regulator (PR), the overall TME cell-infiltrating characteristics mediated by the integrated roles of multiple PRs have not been comprehensively recognized.

methodsThis study curated 33 PRs and conducted consensus clustering to identify distinct pyroptosis patterns in gastric cancer (GC) patients. A single-sample gene set enrichment analysis algorithm was used to quantify the infiltration density of TME immune cells and the enrichment scores of well-defined biological signatures. The pyroptosis patterns of individuals were quantified using a principal component analysis algorithm called the pyroptosis score (PS).

resultsThree distinct pyroptosis patterns with significant survival differences were identified from 1422 GC samples; these patterns were closely associated with three TME cell-infiltrating landscapes-namely, the immune-inflamed, immune-excluded, and immune-desert phenotypes. The PS model generated on the basis of the pyroptosis pattern-related signature genes could accurately predict the TME status, existing molecular subtypes, genetic variation, therapeutic response, and clinical outcome; among which, a relatively high PS was highly consistent with immune activation, molecular subtypes with survival advantages, high tumor mutation burden, high microsatellite instability, and other favorable characteristics. In particular, from the Cancer Genome Atlas database, the PS model exhibited significant prognostic relevance in a pan-cancer analysis, and patients with a relatively high PS exhibited durable therapeutic advantages and better prognostic benefits in anti-PD1/L1 therapy.

conclusionsThis study demonstrates that pyroptosis is prominently correlated with TME diversity and complexity, and quantification of the pyroptosis patterns of individuals will enhance our cognition of TME infiltration landscapes and help in formulating more effective immunotherapeutic strategies.

Indexed as

PyroptosisTumor MicroenvironmentHumansPolymorphism, GeneticStomach NeoplasmsTranscriptomegastric cancergenetic variationimmunotherapypyroptosistumor microenvironment

Identifiers

PMID34680930
PMCPMC8535973
OpenAlexW3202814778

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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.