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 23-gene multi-omics signature predicts prognosis and treatment response in non-small cell lung cancer

23 Jul 2025

Abstract excerpt

BACKGROUND: We developed the first multi-omics prognostic signature integrating 19 programmed cell death (PCD) pathways and organelle functions (mitochondria, lysosomes, Golgi apparatus) to predict prognosis and immunotherapy response in non-small cell lung cancer (NSCLC). (2) Methods: By combining single-cell RNA-seq, bulk transcriptomics, and deep neural networks (DNN), we identified a 23-gene signature...

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 Lung Cancer Treatments and Mutations
Share to RNA modifications and cancer

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

Source

Identifiers

PMID: 40699399
DOI: 10.1007/s12672-025-03243-2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A 23-gene multi-omics signature predicts prognosis and treatment response in non-small cell lung cancerPMID 40699399Read ↗

Comprehensive multi-omics integration uncovers mitochondrial gene signatures for prognosis and personalized therapy in lung adenocarcinoma.Semantic proximity Read ↗

Comprehensive analysis of mitophagy-related genes in NSCLC diagnosis and immune scenery: based on bulk and single-cell RNA sequencing dataSemantic proximity Read ↗

A Multi-Omics Network of a Seven-Gene Prognostic Signature for Non-Small Cell Lung CancerSemantic proximity Read ↗

Mitochondria-related gene-based molecular subtypes of lung adenocarcinoma and their prognostic implicationsSemantic proximity Read ↗

Application of Machine Learning Models Based on H&E Staining for Mitochondrial-Related Genes Classification and Prognosis of Lung AdenocarcinomaSemantic proximity Read ↗

Single-cell RNA sequencing technology was employed to construct a risk prediction model for genes associated with pyroptosis and ferroptosis in lung adenocarcinomaSemantic proximity Read ↗

Integration of Single-Cell RNA Sequencing and Bulk RNA Sequencing Data to Establish and Validate a Prognostic Model for Patients With Lung AdenocarcinomaSemantic proximity Read ↗

Mitochondrial associated programmed cell death patterns in predicting the prognosis of non-small cell lung cancerSemantic proximity Read ↗

Exploring ribosome biogenesis in lung adenocarcinoma to advance prognostic methods and immunotherapy strategiesSemantic proximity Read ↗

Multi-omics analysis reveals an anoikis-related signature for non-small cell lung cancerSemantic proximity Read ↗

Constructing a Prognostic Model for Non-Small-Cell Lung Cancer Risk Based on Genes Characterising the Differentiation of Myeloid-Derived Suppressor CellsSemantic proximity Read ↗

Identification of seven-gene marker to predict the survival of patients with lung adenocarcinoma using integrated multi-omics data analysis.Semantic proximity Read ↗

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