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

Identification of comutation in signaling pathways to predict the clinical outcomes of immunotherapy.

Journal of translational medicine - 23 Dec 2022

Qiu Jiayue, Li Xiangmei, He Yalan, Wang Qian, Li Ji, Wu Jiashuo, Jiang Ying, Han Junwei

Abstract excerpt

BACKGROUND: Immune checkpoint blockades (ICBs) have emerged as a promising treatment for cancer. Recently, tumour mutational burden (TMB) and neoantigen load (NAL) have been proposed to be potential biomarkers to predict the efficacy of ICB; however, they were limited by difficulties in defining the cut-off values and inconsistent detection platforms. Therefore, it is critical to identify more effective...

Read the complete abstract on PubMed

Topics

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

Share to Antigens
Share to Antineoplastic Agents, Immunological

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Biomarkers, Tumor

Share to Immunotherapy

Share to Lung Neoplasms

Share to Mutation

Share to Neoplasms

Source

Open in PubMed Open full text

Identifiers

PMID: 36564823
DOI: 10.1186/s12967-022-03836-3
PMCID: PMC9783967

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of comutation in signaling pathways to predict the clinical outcomes of immunotherapy.PMID 36564823Read ↗

A Multi-Omics Analysis of an Exhausted T Cells’ Molecular Signature in Pan-CancerSemantic proximity Read ↗

CAMOIP: A Web Server for Comprehensive Analysis on Multi-Omics of Immunotherapy in Pan-cancerSemantic proximity Read ↗

From Oncogenic Signaling Pathways to Single-Cell Sequencing of Immune Cells: Changing the Landscape of Cancer ImmunotherapySemantic proximity Read ↗

Prognostic Value of Neoantigen Load in Immune Checkpoint Inhibitor Therapy for Cancer.Semantic proximity Read ↗

Identification and validation of a genomic mutation signature as a predictor for immunotherapy in NSCLC.Semantic proximity Read ↗

Identifying survival of pan-cancer patients under immunotherapy using genomic mutation signature with large sample cohorts.Semantic proximity Read ↗

Integrated genomic analysis identifies a genetic mutation model predicting response to immune checkpoint inhibitors in melanoma.Semantic proximity Read ↗

Continuous Prediction for Tumor Mutation Burden Based on Transcriptional Data in Gastrointestinal CancersSemantic proximity Read ↗

TMBpred: A bioinformatics tool for precise prediction of the Tumor Mutation Burden in 14 cancer typesSemantic proximity Read ↗

A mutation-based gene set predicts survival benefit after immunotherapy across multiple cancers and reveals the immune response landscape.Semantic proximity Read ↗

Identification of tumor mutation burden-associated molecular and clinical features in cancer by analyzing multi-omics data.Semantic proximity Read ↗

Construction and validation of an immunoediting-based optimized neoantigen load (ioTNL) model to predict the response and prognosis of immune checkpoint therapy in various cancers.Semantic proximity Read ↗

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