Evidence map›Paper›PMID 40804050›Full record

ArticleScientific reports2025

The immune-related prognostic gene AIM2 promotes pancreatic cancer progression via inflammasome.

Lin Liang, Yanhong Zhou, Yang Zhang, Shuangyan Ou, Zhijun Yuan, Hong Yi, Xia Yuan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Interleukin-1α (IL-1α) in pancreatic ductal adenocarcinoma: implications for immunotherapy and molecular biomarkers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Article
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.

Lin LiangGastroenterology and Urology Department II, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, 410013, Hunan, China.
Yanhong ZhouCancer Research Institute, Basic School of Medicine, Central South University, Changsha, 410011, Hunan, China.
Yang ZhangCancer Research Institute, Basic School of Medicine, Central South University, Changsha, 410011, Hunan, China.
Shuangyan OuGastroenterology and Urology Department II, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, 410013, Hunan, China.
Zhijun YuanGastroenterology and Urology Department II, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, 410013, Hunan, China.
Hong YiResearch Center of Carcinogenesis and Targeted Therapy, Xiangya Hospital of Central South University, Changsha, 410008, Hunan, China. yi_hong@126.com.
Xia YuanGastroenterology and Urology Department II, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, 410013, Hunan, China. yuanxia@hnca.org.cn.

Funding

"Scientific Research Climbing Plan" of Hunan Cancer Hospital IIT2021006]"Scientific Research Climbing Plan" of Hunan Cancer Hospital YF2021003the Clinical Research Center For Gastrointestinal Cancer In Hunan Province 2021SK4016the National Natural Science Foundation of China 82203836
6 · The paper itself

Abstract

Immune-related factors are closely associated with tumor progression and responses to immunotherapy. A systematic analysis of the immunogenomic landscape and the identification of key immune-related genes (IRGs) can contribute to a better understanding of pancreatic cancer. To identify immune-related genetic prognostic characteristics (IRGPs) of pancreatic cancer, we first constructed an IRGP model containing multiple immune-related genes and determined the relative contributions of each gene using coefficients from the Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analysis. Subsequently, the prognostic value of the signature was validated through receiver operating characteristic (ROC) curve analysis and Kaplan-Meier survival analysis. Additionally, we explored the potential relationship between IRGPs and immune cell infiltration. Nine gene prognostic features were identified as the optimal IRGPs, which include six high-risk genes and three low-risk genes. Principal Component Analysis (PCA) demonstrated that this feature can effectively distinguish between high-risk and low-risk groups. The area under the curve (AUC) value indicated that IRGPs provide better prognostic clinical utility compared to existing TNM staging classifications. The median overall survival (OS) of high-risk patients was significantly shorter, and the infiltration levels of 24 immune cell types were lower. This study identified nine genes that have been identified as important prognostic biomarkers with immune-related characteristics for pancreatic cancer. Furthermore, we also explored the role of AIM2 in pancreatic cancer among the immune-related signature genes. AIM2 may influence the immune invasion and immunotherapy of pancreatic cancer by promoting the inflammatory environment of pancreatic cancer. AIM2 could be a new therapeutic target for pancreatic cancer.

Indexed as

DNA-Binding ProteinsInflammasomesPancreatic NeoplasmsBiomarkers, TumorDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisROC CurveAIM2 protein, humanBiomarkers, TumorDNA-Binding ProteinsInflammasomesAIM2Immune infiltrationImmune-related genesInflammasomePancreatic cancerPrognostic signatureTumor microenvironment

Identifiers

PMID40804050
PMCPMC12350923

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.