Article

Development and validation of a set of novel and robust 4-lncRNA-based nomogram predicting prostate cancer survival by bioinformatics analysis

2020-08-18

Abstract excerpt

<title>Abstract</title> <p>Background and Objective: There is significant heterogeneity between cellular composition and patient outcome in prostate cancer (PCa). Accumulating evidence shows that long noncoding RNAs (lncRNAs) possess great potential in the diagnosis and prognosis of PCa with biological and clinical significance. Therefore, this study aimed to construct an lncRNA-based signature to more accuratel...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6a8c64d9-dacf-58fe-bf22-55f5120d87bd
DOI: 10.21203/rs.3.rs-48992/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Development and validation of a set of novel and robust 4-lncRNA-based nomogram predicting prostate cancer survival by bioinformatics analysisDOI 10.21203/rs.3.rs-48992/v1Read

Molecular network-based identification of competing endogenous RNAs and mRNA signatures that predict survival in prostate cancerSemantic proximity Read

Identification of androgen-responsive lncRNAs as diagnostic and prognostic markers for prostate cancerSemantic proximity Read

Characterization and validation of long noncoding RNAs as new candidates in prostate cancerSemantic proximity Read

Towards Understanding the Key Signature Pathways Associated from Differentially Expressed Gene Analysis in an Indian Prostate Cancer CohortSemantic proximity Read

A potential panel of eight‑mRNAs signature for predicting biochemical recurrence‑free survival and disease‑free survival in prostate cancerSemantic proximity Read

Identification and verification of exosome-related gene signature to predict the cancer status and prognosis of prostate cancerSemantic proximity Read

Discovery and characterization of long intergenic non-coding RNAs (lincRNA) module biomarkers in prostate cancer: an integrative analysis of RNA-Seq data.Semantic proximity Read

Integrative Analysis of four miRNA prognostic signatures of prostate cancerSemantic proximity Read

Comprehensive evaluation of machine learning models and gene expression signatures for prostate cancer prognosis using large population cohortsSemantic proximity Read

Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancerSemantic proximity Read

Current Insights into Long Non-Coding RNAs (LncRNAs) in Prostate CancerSemantic proximity Read

Long Non-Coding RNA as Potential Biomarker for Prostate Cancer: Is It Making a Difference?Semantic proximity Read