ArticleMolecular medicine (Cambridge, Mass.)2022
Identification and prognostic analysis of biomarkers to predict the progression of pancreatic cancer patients.
Article in Molecular medicine (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Predictive value of geriatric nutritional risk index in patients with pancreatic cancer: a meta-analysis.Frontiers in nutrition · 2025Pooled it
- Tumor-derived GDF15 induces CCN3⁺ Schwann cells to promote cancer pain in pancreatic cancer.Nature communications · 2026Article
- Clinical and prognostic implications of KRT19 expression in pancreatic ductal adenocarcinoma.Translational cancer research · 2026Article
- Comprehensive multi-omics analysis and experimental validation indicate that VPS35 is a promising biomarker for prognosis, immunotherapy, and chemotherapy in LIHC.RSC medicinal chemistry · 2026Article
- Identification and characterization of MARCO-expressing tumor-associated macrophages in pancreatic ductal adenocarcinoma with pan-cancer relevance.NPJ precision oncology · 2026Article
- NAT10 regulates tumor progression and immune microenvironment in pancreatic ductal adenocarcinoma via the N4-acetylated LAMB3-mediated FAK/ERK pathway.Cancer communications (London, England) · 2025Article
- Evaluating the Impact of Oral Contraceptives on Pancreatic Cancer Risk: A Two-Sample Mendelian Randomization Analysis.Biomedicines · 2025Article
- Unveiling circulating targets in pancreatic cancer: Insights from proteogenomic evidence and clinical cohorts.iScience · 2025Article
- Irreversible electroporation combined with anti-programmed cell death protein 1 therapy promotes tumor antigen-specific CD8World journal of gastrointestinal oncology · 2025Article
- KRT17: A Key Driver of Cancer Therapy Resistance and Emerging Therapeutic Target.Cancer management and research · 2025Review
- Gene Expression Profiling of Pancreatic Ductal Adenocarcinoma Arising From Intraductal Papillary Mucinous Neoplasms of the Pancreas.Cancer medicine · 2024Article
- Expression, potential biological behaviour and clinical significance of MCM3 in pancreatic adenocarcinoma: a comprehensive study integrating high throughput sequencing, CRISPR screening and in-house immunohistochemistry.Annals of medicine · 2024Article
- The LAMB3-EGFR signaling pathway mediates synergistic Anti-Cancer effects of berberine and emodin in Pancreatic cancer.Biochemical pharmacology · 2024Article
- A novel tumor-derived exosomal gene signature predicts prognosis in patients with pancreatic cancer.Translational cancer research · 2024Article
- TheJournal of gastrointestinal oncology · 2024Article
- Identification and prognostic analysis of ferroptosis‑related gene HSPA5 to predict the progression of lung squamous cell carcinoma.Oncology letters · 2024Article
- DHX34 as a promising biomarker for prognosis, immunotherapy and chemotherapy in Pan-Cancer: A Comprehensive Analysis and Experimental Validation.Journal of Cancer · 2024Article
- Article
- Matrix metalloproteinase 1 is a poor prognostic biomarker for patients with hepatocellular carcinoma.Clinical and experimental medicine · 2023Article
- Contributions of bone marrow monocytes/macrophages in myeloproliferative neoplasms with JAK2Annals of hematology · 2023Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreatic cancer (PC) is a malignancy with a poor prognosis and high mortality. Surgical resection is the only "curative" treatment. However, only a minority of patients with PC can obtain surgery. Improving the overall survival (OS) rate of patients with PC is still a major challenge. Molecular biomarkers are a significant approach for diagnostic and predictive use in PCs. Several prediction models have been developed for patients newly diagnosed with PC that is operable or patients with advanced and metastatic PC; however, these models require further validation. Therefore, precise biomarkers are urgently required to increase the efficiency of predicting a disease-free survival (DFS), OS, and sensitivity to immunotherapy in PC patients and to improve the prognosis of PC.
methodsIn the present study, we first evaluated the highly and selectively expressed targets in PC, using the GeoMxTM Digital Spatial Profiler (DSP) and then, we analyzed the roles of these targets in PCs using TCGA database.
resultsLAMB3, FN1, KRT17, KRT19, and ANXA1 were defined as the top five upregulated targets in PC compared with paracancer. The TCGA database results confirmed the expression pattern of LAMB3, FN1, KRT17, KRT19, and ANXA1 in PCs. Significantly, LAMB3, FN1, KRT19, and ANXA1 but not KRT17 can be considered as biomarkers for survival analysis, univariate and multivariate Cox proportional hazards model, and risk model analysis. Furthermore, in combination, LAMB3, FN1, KRT19, and ANXA1 predict the DFS and, in combination, LAMB3, KRT19, and ANXA1 predict the OS. Immunotherapy is significant for PCs that are inoperable. The immune checkpoint blockade (ICB) analysis indicated that higher expressions of FN1 or ANXA1 are correlated with lower ICB response. In contrast, there are no significant differences in the ICB response between high and low expression of LAMB3 and KRT19.
conclusionsIn conclusion, LAMB3, FN1, KRT19, and ANXA1 are good predictors of PC prognosis. Furthermore, FN1 and ANXA1 can be predictors of immunotherapy in PCs.
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