ArticleJournal of translational medicine2019
Two precision medicine predictive tools for six malignant solid tumors: from gene-based research to clinical application.
Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed, 32 citations in OpenAlex.
- X chromosome-wide association studies for quantitative trait loci based on the mixture of general pedigrees and additional unrelated individuals.Briefings in bioinformatics · 2026Article
- PRDM Proteins Orchestrate Colorectal Cancer Tumorigenesis.International journal of molecular sciences · 2026Review
- Exploring glycerophospholipid metabolism in nasopharyngeal carcinoma: interactions between malignant epithelial cells and CCL11-expressing fibroblasts.Frontiers in immunology · 2026Article
- PHF20L1: An Epigenetic Regulator in Cancer and Beyond.Biomolecules · 2025Review
- RNA in situ conformation sequencing reveals novel long-range RNA structures with impact on splicing.RNA (New York, N.Y.) · 2023Article
- Gut microbiome and nutrition-related predictors of response to immunotherapy in cancer: making sense of the puzzle.BJC reports · 2023Review
- Improve individual treatment by comparing treatment benefits: cancer artificial intelligence survival analysis system for cervical carcinoma.Journal of translational medicine · 2022Article
- Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system.BMC bioinformatics · 2022Article
- Comprehensive analysis of mFrontiers in oncology · 2022Article
- Artificial intelligence predictive system of individual survival rate for lung adenocarcinoma.Computational and structural biotechnology journal · 2022Article
- High expression of DNA damage-inducible transcript 4 (DDIT4) is associated with advanced pathological features in the patients with colorectal cancer.Scientific reports · 2021Article
- Analysis of lncRNAs and mRNA Expression in the ZBTB1 Knockout Monoclonal EL4 Cell Line and Combined Analysis With miRNAs and circRNAs.Frontiers in cellular and infection microbiology · 2021Article
- ceRNAs in Cancer: Mechanism and Functions in a Comprehensive Regulatory Network.Journal of oncology · 2021Review
- The Prognosis Value of PSPC1 Expression in Nasopharyngeal Cancer.Cancer management and research · 2021Article
- PDIA4 Correlates with Poor Prognosis and is a Potential Biomarker in Glioma.OncoTargets and therapy · 2021Article
- Immune gene prognostic signature for disease free survival of gastric cancer: Translational research of an artificial intelligence survival predictive system.Computational and structural biotechnology journal · 2021Article
- Article
- Review
- The Influence of Salinomycin on the Expression Profile of mRNAs Encoding Selected Caspases and MiRNAs Regulating their Expression in Endometrial Cancer Cell Line.Current pharmaceutical biotechnology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe current study aimed to construct competing endogenous RNA (ceRNA) regulation network and develop two precision medicine predictive tools for colorectal cancer (CRC).
methodsDifferentially expressed (DE) analyses were performed between CRC tissues and normal tissues. A ceRNA regulation network was constructed based on DElncRNAs, DEmiRNAs, and DEmRNAs.
resultsFifteen mRNAs (ENDOU, MFN2, FASLG, SHOC2, VEGFA, ZFPM2, HOXC6, KLK10, DDIT4, LPGAT1, BEX4, DENND5B, PHF20L1, HSP90B1, and PSPC1) were identified as prognostic biomarkers for CRC by multivariate Cox regression. Then a Fifteen-mRNA signature was developed to predict overall survival for CRC patients. Concordance indexes were 0.817, 0.838, and 0.825 for 1-, 2- and 3-year overall survival. Patients with high risk scores have worse OS compared with patients with low risk scores.
conclusionThe current study provided deeper understanding of prognosis-related ceRNA regulatory network for CRC. Two precision medicine predictive tools named Smart Cancer Survival Predictive System and Gene Survival Analysis Screen System were constructed for CRC. These two precision medicine predictive tools can provide valuable precious individual mortality risk prediction before surgery and improve the individualized treatment decision-making.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.