Evidence map›Paper›PMID 41969468›Full record

ArticleTranslational cancer research2026

Individualized treatment and key prognostic biomarkers based on folate metabolism in patients with pancreatic cancer.

Duan Yan, Yi Liu, Shiyu Tang, Fan Liu, Shan Chen, Xiaolin Hu, Qichao Jiang, Pengsheng Yi, Dawei Deng

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Article in Translational cancer research, 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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Duan Yan *Department of Hepatobiliary Surgery and Center of Severe Acute Pancreatitis, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Yi Liu *Department of Hepatobiliary Surgery and Center of Severe Acute Pancreatitis, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Shiyu Tang *Department of Gastrointestinal Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Fan LiuDepartment of Gastroenterology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Shan ChenDepartment of Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Xiaolin HuNorth Sichuan Medical College, Nanchong, China.
Qichao JiangNorth Sichuan Medical College, Nanchong, China.
Pengsheng YiDepartment of Hepatobiliary Surgery and Center of Severe Acute Pancreatitis, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Dawei DengDepartment of Hepatobiliary Surgery and Center of Severe Acute Pancreatitis, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Folate metabolism plays a pivotal role in tumor proliferation. However, the relationship between folate metabolism-related genes (FMGs) and the tumor immune microenvironment (TIME) in pancreatic cancer (PC) remains unclear. This study aimed to identify key FMGs and investigate whether FMGs are related to TIME in PC. Methods: Transcriptomic data from 732 PC patients were obtained from public databases, and 78 FMGs were gathered from the Molecular Signature Database (MSigDB). Pan-cancer analysis of genetic alterations in FMGs was performed. Patients with PC were stratified into two subtypes using non-negative matrix factorization (NMF). Clinical data and pathological sections from 150 PC patients were retrospectively collected as a validation cohort. The levels of dihydrofolate reductase (DHFR), FAP Results: Copy number variation (CNV), single nucleotide variation (SNV), methylation, and risk levels of FMG in pan-cancer were confirmed. Compared to Cluster 1, Cluster 2 demonstrated significantly poorer overall survival (OS) (P<0.05), increased sensitivity to chemotherapy drugs, lower immune cell counts, and more immunosuppressive cells in TIME. DHFR was identified as the folate metabolism-driving gene in PC. DHFR was an independent predictor of poor prognosis (P=0.001). DHFR expression was strongly associated with CD206 Conclusions: FMG expression heterogeneity significantly impacts PC prognosis and TIME. DHFR, a central folate metabolism enzyme, demonstrates critical associations with TIME modulation and clinical outcomes in PC.

Indexed as

Folate metabolismmetabolic reprogrammingpancreatic cancer (PC)prognostic biomarkerstumor immune microenvironment (TIME)

Identifiers

PMID41969468
PMCPMC13066995

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