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

RNA modification writer expression profiles predict clinical outcomes and guide neoadjuvant immunotherapy in non-small cell lung cancer

15 Sept 2022

Abstract excerpt

BACKGROUND: A, play a significant role in tumorigenesis and tumor immunity. However, the functions of RNA modification enzymes (writers) in immunotherapy and tumor microenvironment (TME) remain unknown. METHODS: Nonnegative matrix factorization clustering was applied to identify RNA modification clusters in lung adenocarcinoma, one of the most prevalent subtypes of non-small cell lung cancer (NSCLC). CIBERSORT...

Read the complete abstract on PubMed

Topics

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

Share to Ferroptosis and cancer prognosis
Share to RNA modifications and cancer
Share to RNA regulation and disease

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36116215
DOI: 10.1016/j.ebiom.2022.104268

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 12 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

RNA modification writer expression profiles predict clinical outcomes and guide neoadjuvant immunotherapy in non-small cell lung cancerPMID 36116215Read ↗

An RNA Modification–Associated Gene-Based Prognostic Model and Its Relevance to the Immune Microenvironment and Therapeutic Response in Lung AdenocarcinomaSemantic proximity Read ↗

Characterization of m6A RNA Methylation Regulators Predicts Survival and Immunotherapy in Lung Adenocarcinoma.Semantic proximity Read ↗

Nonnegative matrix factorization-based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub-consensuses of lung adenocarcinoma.Semantic proximity Read ↗

Scoring System Based on RNA Modification Writer-Related Genes to Predict Overall Survival and Therapeutic Response in Bladder CancerSemantic proximity Read ↗

Multi-Omics Immune Interaction Networks in Lung Cancer Tumorigenesis, Proliferation, and SurvivalSemantic proximity Read ↗

Integrative machine learning algorithms for developing a consensus RNA modification-based signature for guiding clinical decision-making in bladder cancerSemantic proximity Read ↗

Integrative analysis of adenosine-related RNA modifications defines molecular subtypes of bladder cancer and identifies CES1 as a driver of tumor progression and immunotherapy resistance.Semantic proximity Read ↗

5-methylcytosine RNA methylation regulators affect prognosis and tumor microenvironment in lung adenocarcinomaSemantic proximity Read ↗

SUMOylation patterns and signature characterize the tumor microenvironment and predict prognosis in lung adenocarcinomaSemantic proximity Read ↗

Identification of prognostic m 6 A modification patterns and score system in melanoma patientsSemantic proximity Read ↗

Deciphering the tumor microenvironment cell–infiltrating landscape reveals microenvironment subtypes and therapeutic potentials for nonsquamous NSCLCSemantic proximity Read ↗

Uncovering N4-Acetylcytidine-Related mRNA Modification Pattern and Landscape of Stemness and Immunity in Hepatocellular CarcinomaSemantic proximity Read ↗

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