Article

Robust prediction of patient outcomes with immune checkpoint blockade therapy for cancer using common clinical, pathologic, and genomic features

2023-07-05

Abstract excerpt

<title>Abstract</title> <p>Despite the revolutionary impact of immune checkpoint blockade (ICB) in cancer treatment, accurately predicting patients’ responses remains elusive. We analyzed eight cohorts of ~2900 ICB-treated patients across 18 solid tumor types, the largest dataset to date, examining diverse clinical, pathologic, and genomic features. We developed the LOgistic Regression-based Immunotherapy-respons...

Topics

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

Identifiers and source

Literature Corpus work: 0439a5ba-027b-5003-89ae-15c9407367ee
DOI: 10.21203/rs.3.rs-3087126/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Robust prediction of patient outcomes with immune checkpoint blockade therapy for cancer using common clinical, pathologic, and genomic featuresDOI 10.21203/rs.3.rs-3087126/v1Read

Robust prediction of patient outcomes with immune checkpoint blockade therapy for cancer using common clinical, pathologic, and genomic featuresSemantic proximity Read

Improved prediction of immune checkpoint blockade efficacy across multiple cancer types.Semantic proximity Read

Construction and evaluation of clinical prediction model for immunotherapy-related adverse events and clinical benefit in cancer patients receiving immune checkpoint inhibitors based on serum cytokine levelsSemantic proximity Read

Prediction of checkpoint inhibitor immunotherapy efficacy for cancer using routine blood tests and clinical data.Semantic proximity Read

Pan-cancer prediction of tumor immune activation and response to immune checkpoint blockade from tumor transcriptomics and histopathologySemantic proximity Read

A Combination of Biomarkers Predict Response to Immune Checkpoint Blockade Therapy in Non-Small Cell Lung Cancer.Semantic proximity Read

A Novel Patient-specific Protein Expression-based Algorithmic Model for Immune Checkpoint Inhibition Therapy Response Prediction in a Pan-cancer CohortSemantic proximity Read

A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer studySemantic proximity Read

Generalizable AI predicts immunotherapy outcomes across cancers and treatmentsSemantic proximity Read

Development and validation of the Immune Profile Score (IPS), a novel multi-omic algorithmic assay for stratifying outcomes in a real-world cohort of advanced solid cancer patients treated with immune checkpoint inhibitorsSemantic proximity Read

HINS: HLA-mediated immunogenic neoantigen score for robust prediction of immune checkpoint blockade responseSemantic proximity Read

A transcriptome-wide meta-analysis reveals lack of cancer-cell intrinsic determinants of response to immune checkpoint blockadeSemantic proximity Read