Evidence map›Paper›PMID 38501104›Full record

ArticleFrontiers in endocrinology2024

PANoptosis-related genes function as efficient prognostic biomarkers in colon adenocarcinoma.

Yang Liu, Yizhao Wang, Huijin Feng, Lianjun Ma, Yanqing Liu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

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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

9 citing papers in PubMed.

  1. Role of PANoptosis in intestinal diseases and its therapeutic implications.Journal of molecular medicine (Berlin, Germany) · 2026
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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

5 authors.

Yang Liu *Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China.
Yizhao Wang *Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China.
Huijin Feng *Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, United States.
Lianjun MaEndoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China.
Yanqing LiuHerbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: PANoptosis is a newly discovered cell death type, and tightly associated with immune system activities. To date, the mechanism, regulation and application of PANoptosis in tumor is largely unknown. Our aim is to explore the prognostic value of PANoptosis-related genes in colon adenocarcinoma (COAD). Methods: Analyzing data from The Cancer Genome Atlas-COAD (TCGA-COAD) involving 458 COAD cases, we concentrated on five PANoptosis pathways from the Molecular Signatures Database (MSigDB) and a comprehensive set of immune-related genes. Our approach involved identifying distinct genetic COAD subtype clusters and developing a prognostic model based on these parameters. Results: The research successfully identified two genetic subtype clusters in COAD, marked by distinct profiles in PANoptosis pathways and immune-related gene expression. A prognostic model, incorporating these findings, demonstrated significant predictive power for survival outcomes, underscoring the interplay between PANoptosis and immune responses in COAD. Conclusion: This study enhances our understanding of COAD's genetic framework, emphasizing the synergy between cell death pathways and the immune system. The development of a prognostic model based on these insights offers a promising tool for personalized treatment strategies. Future research should focus on validating and refining this model in clinical settings to optimize therapeutic interventions in COAD.

Indexed as

AdenocarcinomaColonic NeoplasmsBiomarkersHumansMultigene FamilyPrognosisBiomarkerscolon adenocarcinomaPANoptosisprognostic modelrisk scoretumor immunitytumor microenvironment

Identifiers

PMID38501104
PMCPMC10944899

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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.