ArticleCancer management and research2019
Importance of gene expression signatures in pancreatic cancer prognosis and the establishment of a prediction model.
Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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37 citing papers in PubMed, 56 citations in OpenAlex.
- METTL16-mediated m6A modification of LYRM2 drives breast cancer progression by inducing CD8Journal of bioenergetics and biomembranes · 2026Article
- Homeobox protein B6 and homeobox protein B8 control immune-cancer cell interactions in pancreatic cancer.Molecular biomedicine · 2025Article
- Tumor hypoxia in immune infiltration and prognosis of bladder cancer.Translational cancer research · 2024Article
- Prognostic-Related Biomarkers in Pancreatic Ductal Adenocarcinoma Correlating with Immune Infiltrates Based on Proteomics.Medical science monitor : international medical journal of experimental and clinical research · 2023Article
- The discovery of promising candidate biomarkers in kidney renal clear cell carcinoma: evidence from the in-depth analysis of high-throughput data.American journal of cancer research · 2023Article
- Identification of multi-omics biomarkers and construction of the novel prognostic model for hepatocellular carcinoma.Scientific reports · 2022Article
- Identification of a seven-cell cycle signature predicting overall survival for gastric cancer.Aging · 2022Article
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- Kinetochore-associated protein 1 promotes the invasion and tumorigenicity of cervical cancer cells via matrix metalloproteinase-2 and matrix metalloproteinase-9.Bioengineered · 2022Article
- Prognostic Signature Development on the Basis of Macrophage Phagocytosis-Mediated Oxidative Phosphorylation in Bladder Cancer.Oxidative medicine and cellular longevity · 2022Article
- The Emerging Role of RNA N6-Methyladenosine Modification in Pancreatic Cancer.Frontiers in oncology · 2022Review
- Effect of unfolded protein response on the immune infiltration and prognosis of transitional cell bladder cancer.Annals of medicine · 2021Article
- Identification of DNA methylation-driven genes and construction of a nomogram to predict overall survival in pancreatic cancer.BMC genomics · 2021Article
- Systematic analysis of molecular characterization and clinical relevance of m6A regulators in digestive system pan-cancers.Experimental biology and medicine (Maywood, N.J.) · 2021Article
- Construction of a novel mRNA-signature prediction model for prognosis of bladder cancer based on a statistical analysis.BMC cancer · 2021Article
- NCancer communications (London, England) · 2021Review
- Role of tumor mutation burden-related signatures in the prognosis and immune microenvironment of pancreatic ductal adenocarcinoma.Cancer cell international · 2021Article
- A 14-gene gemcitabine resistance gene signature is significantly associated with the prognosis of pancreatic cancer patients.Scientific reports · 2021Article
- CDC6 is up-regulated and a poor prognostic signature in glioblastoma multiforme.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021Article
- RNA splicing and aggregate gene expression differences in lung squamous cell carcinoma between patients of West African and European ancestry.Lung cancer (Amsterdam, Netherlands) · 2021Article
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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
BACKGROUND AND
aimPancreatic cancer (PC) is one of the most common tumors with a poor prognosis. The current American Joint Committee on Cancer (AJCC) staging system, based on the anatomical features of tumors, is insufficient to predict PC outcomes. The current study is endeavored to identify important prognosis-related genes and build an effective predictive model.
methodsMultiple public datasets were used to identify differentially expressed genes (DEGs) and survival-related genes (SRGs). Bioinformatics analysis of DEGs was used to identify the main biological processes and pathways involved in PC. A risk score based on SRGs was computed through a univariate Cox regression analysis. The performance of the risk score in predicting PC prognosis was evaluated with survival analysis, Harrell's concordance index (C-index), area under the curve (AUC), and calibration plots. A predictive nomogram was built through integrating the risk score with clinicopathological information.
resultsA total of 945 DEGs were identified in five Gene Expression Omnibus datasets, and four SRGs (
conclusionThis study identified four new biomarkers that are significantly associated with the carcinogenesis, progression, and prognosis of PC, which may be helpful in studying the underlying mechanism of PC carcinogenesis. The predictive nomogram showed robust performance in predicting PC prognosis. Therefore, the current model may provide an effective and reliable guide for prognosis assessment and treatment decision-making in the clinic.
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