Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A Gene Prognostic Index Associated With Epithelial-Mesenchymal Transition Predicting Biochemical Recurrence and Tumor Chemoresistance for Prostate Cancer

12 Jan 2022

Abstract excerpt

Background We aimed to establish a novel epithelial-mesenchymal transition (EMT)-related gene prognostic index (EMTGPI) associated with biochemical recurrence (BCR) and drug resistance for prostate cancer (PCa). Methods We used Lasso and Cox regression analysis to establish the EMTGPI. All analyses were conducted with R version 3.6.3 and its suitable packages. Results We established the EMTGPI based on SFRP4 and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Immunotherapy and Biomarkers
Share to Ferroptosis and cancer prognosis
Share to Prostate Cancer Treatment and Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35096608
DOI: 10.3389/fonc.2021.805571

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Gene Prognostic Index Associated With Epithelial-Mesenchymal Transition Predicting Biochemical Recurrence and Tumor Chemoresistance for Prostate CancerPMID 35096608Read ↗

Development of a biochemical recurrence prediction model based on pyroptosis related genes in prostate cancerSemantic proximity Read ↗

An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancerSemantic proximity Read ↗

Prediction of metastatic and recurrence in prostate cancer patients based on BMP-related differential gene indicators in prostate cancer bone metastasesSemantic proximity Read ↗

Identification and validation of a prognostic 5-protein signature for biochemical recurrence following radical prostatectomy in prostate cancerSemantic proximity Read ↗

Machine Learning of Tumor Microenvironment Related Genes for Prostate Cancer Biochemical Recurrence Prediction and Immune AnalysisSemantic proximity Read ↗

A Novel Defined Pyroptosis-Related Gene Signature For Predicting the Prognosis of Prostate CancerSemantic proximity Read ↗

Identification of a DNA Repair Gene Signature and Establishment of a Prognostic Nomogram Predicting Biochemical-Recurrence-Free Survival of Prostate CancerSemantic proximity Read ↗

Genetic variants in epithelial-mesenchymal transition genes as predictors of clinical outcomes in localized prostate cancer.Semantic proximity Read ↗

A novel defined risk signature based on pyroptosis-related genes can predict the prognosis of prostate cancerSemantic proximity Read ↗

A novel immune-related gene-based prognostic signature to predict biochemical recurrence in patients with prostate cancer after radical prostatectomySemantic proximity Read ↗

A tumor-associated macrophages related model for predicting biochemical recurrence and tumor immune environment in prostate cancer.Semantic proximity Read ↗

Immune-Related Gene-Based Novel Subtypes to Establish a Model Predicting the Risk of Prostate CancerSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.