Establishing a new-onset diabetes-related metabolism signature for predicting the prognosis and immune landscape in pancreatic cancer

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, an NOD-related metabolism signature (NRMS) was established. Validated in three independent cohorts, patients with a high NRMS score exhibited a 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 upregulated 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.

Authors

Institutions

Publication Details

Journal
Carcinogenesis
Published
2024-11-11
DOI
https://doi.org/10.1093/carcin/bgae072
Citations
3
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Establishing a new-onset diabetes-related metabolism signature for predicting the prognosis and immune landscape in pancreatic cancer

Mengdie Cao, Shuya Bai, Shiru Chen, Yuchong Zhao et al.
3 citations
Carcinogenesis
Pancreatic and Hepatic Oncology Research
0.85
article

Establishing a new-onset diabetes-related metabolism signature for predicting the prognosis and immune landscape in pancreatic cancer

Mengdie Cao, Shuya Bai, Shiru Chen, Yuchong Zhao, Haochen Cui, Peng Wang, Bin Cheng, Wei Chen, Yanling Li, Luyao Liu, Yilei Yang, Jingwen Liang, Jinlin Wang, Ronghua Wang
article en
3 citations

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, an NOD-related metabolism signature (NRMS) was established. Validated in three independent cohorts, patients with a high NRMS score exhibited a 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 upregulated 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.

CarcinogenesisVol. 46(2)
University of Pittsburgh (US), Tongji Hospital (CN), Union Hospital (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 22%
Pancreatic and Hepatic Oncology Research
0.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.