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Identifying diagnostic markers and constructing a prognostic model for pancreatic cancer based on microarray and
Chang Liu1,2, Dan Qian1,2, Ye Tian1,2
1Department of Clinical Laboratory, The Second Affiliated Hospital, Army Medical University, Chongqing, 400037, China.
Discover Oncology
|June 22, 2026
Summary
This study identifies five key genes (FERMT1, S100A14, KCNN4, PKM, ITGA3) as diagnostic biomarkers for pancreatic cancer (PC). A prognostic model using FERMT1, S100A14, and ITGA3 may predict patient survival outcomes.
Area of Science:
- Oncology
- Genomics
- Biomarker Discovery
Background:
- Pancreatic cancer (PC) is a leading cause of cancer mortality globally.
- Effective diagnostic biomarkers and therapeutic targets for PC remain limited, hindering early detection and treatment.
- This study aimed to develop a diagnostic and survival-related gene signature for PC to construct a prognostic model.
Purpose of the Study:
- To identify diagnostic biomarkers for pancreatic cancer.
- To develop a prognostic model for predicting pancreatic cancer survival.
- To validate the expression patterns of identified risk genes in clinical samples.
Main Methods:
- Utilized Arraystar RNA microarray to identify differentially expressed genes (DEGs) in plasma samples from PC and control groups.
- Applied weighted gene co-expression network analysis (WGCNA) to identify significant DEG modules and potential diagnostic hub genes.
- Employed least absolute shrinkage and selection operator (LASSO) Cox regression to construct a prognostic model and validated gene expression via RT-qPCR.
Main Results:
- Identified 228 significantly upregulated mRNAs in plasma samples, with FERMT1, S100A14, KCNN4, PKM, and ITGA3 identified as robust diagnostic biomarkers.
- Developed a prognostic model integrating hub genes, demonstrating prognostic value in the TCGA cohort.
- FERMT1, S100A14, and ITGA3 expression were confirmed as independent risk factors for poor prognosis, with validated concordant expression patterns in clinical samples.
Conclusions:
- Identified potential biomarkers for predicting pancreatic cancer prognosis, complementing existing clinicopathological factors.
- The study highlights FERMT1, S100A14, and ITGA3 as promising independent prognostic markers for pancreatic cancer.
- Further functional investigation of these identified biomarkers is warranted to explore their role in PC progression.
