Evidence map›Paper›PMID 41908151›Full record

ArticleFrontiers in genetics2026

Exploring prognostic genes related to lactylation and programmed cell death in pancreatic ductal adenocarcinoma: a comprehensive study combining bulk transcriptomics and experimental verification.

Boxing Zhang, Gen Sun, Luying Huang, Wenjun Wei, Yuzhang Yuan, Zehua Wang, Xingzhou Peng, Liang Song, Kıvanç Görgülü, Jiaoyu Ai

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In one paragraph

Article in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Boxing Zhang *School of Clinical Medicine, Shaanxi University of Chinese Medicine, Xianyang, China.
Gen Sun *Department of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Luying Huang *Department of Gastroenterology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Wenjun WeiDepartment of Gastroenterology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Yuzhang YuanDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zehua WangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xingzhou PengSchool of Biomedical Engineering, Hainan University, Sanya, China.
Liang SongSchool of Clinical Medicine, Shaanxi University of Chinese Medicine, Xianyang, China.
Kıvanç GörgülüInstitute for Tumor Metabolism, Comprehensive Cancer Center München, TUM School of Medicine and Health, University Medical Center, Technical University of Munich, Munich, Germany.
Jiaoyu AiDepartment of Gastroenterology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is a strong correlation between lactylation, programmed cell death, and the progression of cancer. This study aims to identify prognostic genes associated with lactylation and programmed cell death in pancreatic ductal adenocarcinoma (PDAC), providing new insights for risk stratification and therapeutic strategies. Methods: TCGA-PAAD, GSE62452, lactylation-related genes (LRGs), and programmed cell death-related genes (PCDRGs) were retrieved from relevant databases and references. Prognostic genes were identified through univariate Cox regression analysis, followed by random survival forest analysis for survival prediction. Subsequently, enrichment analysis, immune microenvironment analysis, drug sensitivity analysis, immunohistochemical analysis, and expression analysis of prognostic genes were conducted. Finally, the experimental verification was carried out in clinical samples. Results: In this investigation, two prognostic genes (HMGA1 and KIF2C) linked to lactylation and programmed cell death were identified, and a robust prognostic risk model was developed. Enrichment analysis results included Cell cycle, G2M checkpoint, Myogenesis, and Angiogenesis. Moreover, immature B cells and activated B cells demonstrated the strongest positive correlation (cor = 0.97, Conclusion: In the present investigation, two prognostic genes were identified, and subsequently, a predictive risk model was established, which may serve as a valuable reference for the clinical management of PDAC.

Indexed as

immune microenvironmentlactylationpancreatic ductal adenocarcinomaprognostic risk modelprogrammed cell death

Identifiers

PMID41908151
PMCPMC13017068

What Socratic 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 Socratic graph.