Back to search

Article

High-resolution lung adenocarcinoma expression subtypes identify tumors with dependencies on <i>MET, CDK4, CDK6</i> , and <i>PD-L1</i>

2022-02-23

Abstract excerpt

Lung adenocarcinoma is one of the most common cancer types with various treatment modalities. However, better biomarkers to predict therapeutic response are still needed to improve precision medicine. We utilized a consensus hierarchical clustering approach on 509 LUAD cases from TCGA to identify five robust LUAD expression subtypes. We then integrated genomic (patient and cell line) and proteomic data to help def...

Topics

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

Identifiers and source

Literature Corpus work
fd981537-3608-5f5d-9737-12515b00a98d
DOI
10.1101/2022.02.20.481157
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
High-resolution lung adenocarcinoma expression subtypes identify tumors with dependencies on <i>MET, CDK4, CDK6</i> , and <i>PD-L1</i>DOI 10.1101/2022.02.20.481157
High-Resolution Profiling of Lung Adenocarcinoma Identifies Expression Subtypes with Specific Biomarkers and Clinically Relevant Vulnerabilities.Semantic proximity
Multi-Omics Integrative Analysis of Lung Adenocarcinoma: An in silico Profiling for Precise MedicineSemantic proximity
SCLC_CellMiner: Integrated Genomics and Therapeutics Predictors of Small Cell Lung Cancer Cell Lines based on their genomic signaturesSemantic proximity
Integration of multi-omics profiling reveals an epigenetic-based molecular classification of lung adenocarcinoma: implications for drug sensitivity and immunotherapy response predictionSemantic proximity
PSMB5-centered immunotherapy resistance signature predicts prognosis and drives CD8+ T cell exclusion in lung adenocarcinomaSemantic proximity
Transcriptomic analysis of transformed small-cell lung cancer from EGFR-mutated lung adenocarcinoma reveals distinct subgroups and precision therapy opportunitiesSemantic proximity
SCLC-CellMiner: A Resource for Small Cell Lung Cancer Cell Line Genomics and Pharmacology Based on Genomic SignaturesSemantic proximity
Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy.Semantic proximity
Signatures of Multi-Omics Reveal Distinct Tumor Immune Microenvironment Contributing to Immunotherapy in Lung AdenocarcinomaSemantic proximity
Novel molecular subtype-based precision therapy improves prognosis for lung adenocarcinoma patientsSemantic proximity
Integrating machine learning and single-cell sequencing to reveal the role of kinase-related genes in subtype classification and prognostic significance of lung squamous cell carcinomaSemantic proximity
Single cell profiling reveals novel tumor and myeloid subpopulations in small cell lung cancerSemantic proximity
Select a neighboring publication to make it the new centre.