ArticleCancer cell international2020
A four prognosis-associated lncRNAs (PALnc) based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancer.
Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 17 citations in OpenAlex.
- Targeting lncRNA-regulated macrophage polarization: a novel therapeutic strategy for pancreatic ductal adenocarcinoma.Journal of physiology and biochemistry · 2026Review
- LINC00476 cooperates with ARIH2 and suppresses pancreatic cancer progression by inducing VIM ubiquitination.International journal of surgery (London, England) · 2026Article
- Disulfidptosis classification of pancreatic carcinoma reveals correlation with clinical prognosis and immune profile.Hereditas · 2025Article
- Integrative bioinformatics and experimental analyses identify U2SURP as a novel lactylation-related prognostic signature in esophageal carcinoma.Immunologic research · 2025Article
- Genomic analysis and filtration of novel prognostic biomarkers based on metabolic and immune subtypes in pancreatic cancer.Cellular oncology (Dordrecht, Netherlands) · 2023Article
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- Competing endogenous RNA analysis identified lncRNA DSCR9 as a novel prognostic biomarker associated with metastasis and tumor microenvironment in renal cell carcinoma.Oncology letters · 2023Article
- Methylation of N6 adenosine-related long noncoding RNA: effects on prognosis and treatment in 'driver-gene-negative' lung adenocarcinoma.Molecular oncology · 2023Article
- Identification of an autophagy-related gene signature for predicting prognosis and immune activity in pancreatic adenocarcinoma.Scientific reports · 2022Article
- Establishment and validation of a prognostic model based on HRR-related lncRNAs in colon adenocarcinoma.World journal of surgical oncology · 2022Article
- Antiproliferative effects of dried Moringa oleifera leaf extract on human Wharton's Jelly mesenchymal stem cells.PloS one · 2022Article
- A lactate-related LncRNA model for predicting prognosis, immune landscape and therapeutic response in breast cancer.Frontiers in genetics · 2022Article
- Metabolism-related long non-coding RNAs (lncRNAs) as potential biomarkers for predicting risk of recurrence in breast cancer patients.Bioengineered · 2021Article
- Identification of an Autophagy-Related Pair Signature for Predicting Prognoses and Immune Activity in Pancreatic Adenocarcinoma.Frontiers in immunology · 2021Article
- Three Immune-Related Prognostic mRNAs as Therapeutic Targets for Pancreatic Cancer.Frontiers in medicine · 2021Article
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7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreatic cancer (PC) is one of the most common cancers and the leading cause of cancer-related death worldwide. Exploring novel predictive biomarkers for PC patients' prognosis is in urgent need.
methodsIn the present study, we conducted Cox proportional hazards regression to identify critical prognosis-associated lncRNAs (PALncs) in TCGA PC dataset. Based on the results of multivariate analysis, a PALnc-based risk score system was established, and validated in GSE62452 dataset. The validity and reliability of the risk score system for prognosis of PC were evaluated through ROC analysis. And function enrichment analyses for the PALncs were also performed.
resultIn the multivariate analysis, four PALncs (LINC00476, C9orf163, LINC00346 and DSCR9) were screened out to develop a risk score system, which showed a high AUC at 3 and 5 years overall survival (0.785 at 3 year OS, 0.863 at 5 year OS) in TCGA datasets. And the ROC analysis of the risk score system for RFS in TCGA dataset revealed that AUC for RFS was 0.799 at 3 years and 0.909 at 5 years. Further, the AUC for OS in the validation cohort was 0.705 at 3 years and 0.959 at 5 years. Furthermore, the functional enrichment analysis revealed that these PALncs may be involved in various pathways related to cancer, including Ras family activation, autophagy in cancer, MAPK signaling pathway, HIF-1 signaling pathway, PI3K-Akt signaling pathway, etc. And correlation analysis of these tumor infiltrating immune cells and risk score system revealed that the infiltration level of B cell naïve, plasma cells, and CD8+ T cells are negatively correlated to the risk score system, while macrophages M2 positively correlated to the risk score system.
conclusionOur study established a four PALncs based risk score system, which reflects immune cell infiltration and predicts patient survival for PC.
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