{"title":"Establishing a new-onset diabetes-related metabolism signature for predicting the prognosis and immune landscape in pancreatic cancer.","authors":"Yilei Yang, Luyao Liu, Haochen Cui, Bin Cheng, Wang Peng, Ronghua Wang, Jinlin Wang, Wei Chen, Mengdie Cao, Yanling Li, Jingwen Liang, Shiru Chen, Shuya Bai, Yuchong Zhao","doi":"10.1093/carcin/bgae072","DOIUrl":null,"url":null,"abstract":"<p><p>New-onset diabetes (NOD) is a common condition among patients with pancreatic adenocarcinoma (PAAD) and is related to poor clinical outcomes. The potential impact of NOD on PAAD progression and the tumor microenvironment remains unclear. Here, we revealed that NOD in PAAD was associated with metabolic disorders. Utilizing three machine learning algorithms, a new-onset diabetes-related metabolism signature (NRMS) was established. Validated in three independent cohorts, patients with a high NRMS score exhibited worse prognosis. Moreover, an elevated NRMS score was associated with an immunosuppressive microenvironment and diminished response to immunotherapy. Further experiments demonstrated that ALDH3A1, a key feature in NRMS, was significantly up-regulated in tissues from PAAD patients with NOD and played a crucial role in tumor progression and immune suppression. Our findings highlight the potential of NRMS as a prognostic biomarker and an indicator of immunotherapy response for patients with PAAD.</p>","PeriodicalId":9446,"journal":{"name":"Carcinogenesis","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Carcinogenesis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/carcin/bgae072","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
New-onset diabetes (NOD) is a common condition among patients with pancreatic adenocarcinoma (PAAD) and is related to poor clinical outcomes. The potential impact of NOD on PAAD progression and the tumor microenvironment remains unclear. Here, we revealed that NOD in PAAD was associated with metabolic disorders. Utilizing three machine learning algorithms, a new-onset diabetes-related metabolism signature (NRMS) was established. Validated in three independent cohorts, patients with a high NRMS score exhibited worse prognosis. Moreover, an elevated NRMS score was associated with an immunosuppressive microenvironment and diminished response to immunotherapy. Further experiments demonstrated that ALDH3A1, a key feature in NRMS, was significantly up-regulated in tissues from PAAD patients with NOD and played a crucial role in tumor progression and immune suppression. Our findings highlight the potential of NRMS as a prognostic biomarker and an indicator of immunotherapy response for patients with PAAD.
期刊介绍:
Carcinogenesis: Integrative Cancer Research is a multi-disciplinary journal that brings together all the varied aspects of research that will ultimately lead to the prevention of cancer in man. The journal publishes papers that warrant prompt publication in the areas of Biology, Genetics and Epigenetics (including the processes of promotion, progression, signal transduction, apoptosis, genomic instability, growth factors, cell and molecular biology, mutation, DNA repair, genetics, etc.), Cancer Biomarkers and Molecular Epidemiology (including genetic predisposition to cancer, and epidemiology), Inflammation, Microenvironment and Prevention (including molecular dosimetry, chemoprevention, nutrition and cancer, etc.), and Carcinogenesis (including oncogenes and tumor suppressor genes in carcinogenesis, therapy resistance of solid tumors, cancer mouse models, apoptosis and senescence, novel therapeutic targets and cancer drugs).