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

Integrative single-cell analysis of LUAD: elucidating immune cell dynamics and prognostic modeling based on exhausted CD8+ T cells

26 Mar 2024

Abstract excerpt

Background: The tumor microenvironment (TME) plays a pivotal role in the progression and metastasis of lung adenocarcinoma (LUAD). However, the detailed characteristics of LUAD and its associated microenvironment are yet to be extensively explored. This study aims to delineate a comprehensive profile of the immune cells within the LUAD microenvironment, including CD8+ T cells, CD4+ T cells, and myeloid cells....

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 Single-cell and spatial transcriptomics

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

Source

Identifiers

PMID: 38596689
DOI: 10.3389/fimmu.2024.1366096

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 24 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative single-cell analysis of LUAD: elucidating immune cell dynamics and prognostic modeling based on exhausted CD8+ T cellsPMID 38596689Read ↗

Characterizing Tumor Microenvironment and Risk Genes in Lung Adenocarcinoma through scRNA-seq and Bulk RNA-seq DataSemantic proximity Read ↗

Landscape and dynamics of single tumor and immune cells in early and advanced‐stage lung adenocarcinomaSemantic proximity Read ↗

Identification and validation of tumor environment phenotypes in lung adenocarcinoma by integrative genome-scale analysis.Semantic proximity Read ↗

Single-Cell Analysis Reveals Spatial Heterogeneity of Immune Cells in Lung AdenocarcinomaSemantic proximity Read ↗

Heterogeneity and Differentiation Trajectories of Infiltrating CD8+ T Cells in Lung AdenocarcinomaSemantic proximity Read ↗

Multi-Omics reveals SPP1+ Malignant and CXCR4+ TAM crosstalk predicts immunotherapy response in lung adenocarcinoma cancerSemantic proximity Read ↗

Single-cell RNA sequencing reveals heterogeneous tumor and immune cell populations in early-stage lung adenocarcinomas harboring EGFR mutations.Semantic proximity Read ↗

Integrative single-cell and spatial transcriptomics analysis reveals MDK-NCL pathway’s role in shaping the immunosuppressive environment of lung adenocarcinomaSemantic proximity Read ↗

CD8+ T Cell-Associated Gene Signature Correlates With Prognosis Risk and Immunotherapy Response in Patients With Lung AdenocarcinomaSemantic proximity Read ↗

Multi‑omics identification of a signature based on malignant cell-associated ligand–receptor genes for lung adenocarcinomaSemantic proximity Read ↗

A single-cell characterised signature integrating heterogeneity and microenvironment of lung adenocarcinoma for prognostic stratificationSemantic proximity Read ↗

Identification of T-cell exhaustion-related genes and prediction of their immunotherapeutic role in lung adenocarcinomaSemantic proximity Read ↗

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