Back to search

Article

Integrate analysis of bulk and single-cell RNA sequencing demonstrates a transcriptional pattern characterized by GDF15 of tumor cells that predicts immunotherapy efficacy in non-small cell lung cancer

2024-10-18

Abstract excerpt

<title>Abstract</title> <p>The advent of immunotherapy has transformed the landscape of lung cancer treatment. Nevertheless, the question of which populations may benefit from this approach remains unsolved. In this study, we designed a pipeline based on machine learning for processing the RNA-sequencing data from lung cancer patients treated with immune check point blockade therapy to identify the most important...

Topics

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

Identifiers and source

Literature Corpus work
fff46a89-1a80-5381-a381-93351c52dea0
DOI
10.21203/rs.3.rs-4961128/v1
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.
Integrate analysis of bulk and single-cell RNA sequencing demonstrates a transcriptional pattern characterized by GDF15 of tumor cells that predicts immunotherapy efficacy in non-small cell lung cancerDOI 10.21203/rs.3.rs-4961128/v1
Single-Cell RNA Sequencing Reveals Tumor Microenvironment Remodeling after Neoadjuvant Immunotherapy in Non-small Cell Lung CancerSemantic proximity
Constructing a Prognostic Model for Non-Small-Cell Lung Cancer Risk Based on Genes Characterising the Differentiation of Myeloid-Derived Suppressor CellsSemantic proximity
Machine-learning-guided single-cell transcriptomic interrogation identifies biomarkers and candidate therapeutics for immune-cold lung adenocarcinomaSemantic proximity
Integrating Single-Cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancerSemantic proximity
Deciphering the immune heterogeneity dominated by RGS1+ TAMs with prognostic implications and identification of novel immunotherapeutic biomarker CD83 in lung adenocarcinomaSemantic proximity
Single-Cell Transcriptomics of Immune Cells Reveal Diversity and Exhaustion Signatures in Non-Small-Cell Lung CancerSemantic proximity
Spatial analysis of human lung cancer reveals organized immune hubs enriched for stem-like CD8 T cells and associated with immunotherapy responseSemantic proximity
Integration of Single-cell and Bulk RNA Sequencing to Identify a Distinct Tumor Stem Cells and Construct a Novel Prognostic Signature for Evaluating Prognosis and Immunotherapy in LUADSemantic proximity
Uncovering Predictive Gene and Cellular Signatures for Checkpoint Immunotherapy Response through Machine Learning Analysis of Immune Single-Cell RNA-seq DataSemantic proximity
M1 Macrophage-Related Genes Model for NSCLC Immunotherapy Response PredictionSemantic proximity
RBM15 is a novel prognostic biomarker and correlates with immune cell infiltration in lung adenocarcinomaSemantic proximity
Single-cell RNA sequencing for the identification of early-stage lung cancer biomarkers from circulating bloodSemantic proximity
Select a neighboring publication to make it the new centre.