Article

PCaDB - a comprehensive and interactive database for transcriptomes from prostate cancer population cohorts

2021-07-01

Abstract excerpt

Prostate cancer (PCa) is a heterogeneous disease with highly variable clinical outcomes which presents enormous challenges in the clinical management. A vast amount of transcriptomics data from large PCa cohorts have been generated, providing extraordinary opportunities for the molecular characterization of the PCa disease and the development of diagnostic and prognostic signatures. The lack of an inclusive collec...

Topics

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

Identifiers and source

Literature Corpus work: eb841fd7-340a-5ed7-831e-bf561d3b87aa
DOI: 10.1101/2021.06.29.449134

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

PCaDB - a comprehensive and interactive database for transcriptomes from prostate cancer population cohortsDOI 10.1101/2021.06.29.449134Read

CTPC, a combined transcriptome data set of human prostate cancer cell linesSemantic proximity Read

The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative AnalysisSemantic proximity Read

curatedPCaData: Integration of clinical, genomic, and signature features in a curated and harmonized prostate cancer data resourceSemantic proximity Read

Integrated Multi-Omics Data Reveals the Molecular Subtypes of Prostate CancerSemantic proximity Read

Transcriptomics Signature from Next-Generation Sequencing Data Reveals New Transcriptomic Biomarkers Related to Prostate CancerSemantic proximity Read

Integrating single-cell and bulk RNA sequencing to predict prognosis and immunotherapy response in prostate cancerSemantic proximity Read

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

Integrated analysis of single-cell and bulk transcriptomes uncovers clinically relevant molecular subtypes in human prostate cancerSemantic proximity Read

Integrating single-cell and bulk RNA sequencing to predict prognosis and immunotherapy response in prostate cancerSemantic proximity Read

Single-cell analysis extracted CAFs-related genes to established online app to predict clinical outcome and radiotherapy prognosis of prostate cancerSemantic proximity Read

Unveiling the NEFH+ malignant cell subtype: Insights from single-cell RNA sequencing in prostate cancer progression and tumor microenvironment interactionsSemantic proximity Read

Establishing a Prognostic Model in Prostate Adenocarcinoma through Comprehensive scRNA-Seq and Bulk RNA-Seq Analysis and ValidationSemantic proximity Read