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

Predicting lung adenocarcinoma prognosis with a novel risk scoring based on platelet-related gene expression.

Aging - 22 Feb 2021

Zhou Chengmao, Wang Yongsheng, Wang Ying, Lei Lei, Ji Mu-Huo, Zhou Guoren, Xia Hongping, Yang Jian-Jun

Abstract excerpt

Lung adenocarcinoma is the most common subtype of non-small cell lung cancer, and platelet receptor-related genes are related to its occurrence and progression. A new prognostic indicator based on platelet receptor-related genes was developed with multivariate COX analysis. Prognostic markers based on platelet-related risk score perform moderately in prognosis prediction. The functional annotation of this risk...

Read the complete abstract on PubMed

Topics

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

Share to Adenocarcinoma of Lung
Share to DNA Copy Number Variations

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Neoplastic

Share to Lung Neoplasms

Share to MicroRNAs

Share to Nomograms

Share to Risk Assessment

Share to Survival Rate

Source

Open in PubMed Open full text

Identifiers

PMID: 33619234
DOI: 10.18632/aging.202682
PMCID: PMC8034940

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predicting lung adenocarcinoma prognosis with a novel risk scoring based on platelet-related gene expression.PMID 33619234Read ↗

Exploration of Prognostic Biomarkers for Lung Adenocarcinoma Through Bioinformatics AnalysisSemantic proximity Read ↗

A Novel Risk Model Based on Autophagy Pathway Related Genes for Survival Prediction in Lung Adenocarcinoma.Semantic proximity Read ↗

A 5-mRNA-Based Prognostic Signature of Survival in Lung AdenocarcinomaSemantic proximity Read ↗

Genome‐scale analysis to identify prognostic markers and predict the survival of lung adenocarcinomaSemantic proximity Read ↗

Construction and evaluation of a prognostic risk model of tumor metastasis-related genes in patients with non-small cell lung cancerSemantic proximity Read ↗

Establishment of a Gene Signature to Predict Prognosis for Patients with Lung AdenocarcinomaSemantic proximity Read ↗

Identification of lung cancer oncogenes based on the mRNA expression and single nucleotide polymorphism profile dataSemantic proximity Read ↗

Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinomaSemantic proximity Read ↗

Identification of lung adenocarcinoma specific dysregulated genes with diagnostic and prognostic value across 27 TCGA cancer typesSemantic proximity Read ↗

Identification of Key Genes in Lung Adenocarcinoma and Establishment of Prognostic ModeSemantic proximity Read ↗

Identification of a Sixteen-gene Prognostic Biomarker for Lung Adenocarcinoma Using a Machine Learning MethodSemantic proximity Read ↗

Prognostic Nomogram to Predict the Overall Survival of Patients with “driver-gene-negative” Lung Adenocarcinoma (LUAD) and Its’ Biological Basis DecipheringSemantic proximity Read ↗

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