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

Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma

5 Jun 2024

Abstract excerpt

PURPOSE: We aim to improve the prediction of response or resistance to immunotherapies in patients with melanoma. This goal is based on the hypothesis that current gene signatures predicting immunotherapy outcomes show only modest accuracy due to the lack of spatial information about cellular functions and molecular processes within tumors and their microenvironment. EXPERIMENTAL DESIGN: We collected gene...

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 Cutaneous Melanoma Detection and Management
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38837895
DOI: 10.1158/1078-0432.ccr-23-3932

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Spatially Informed Gene Signatures for Response to Immunotherapy in MelanomaPMID 38837895Read ↗

Cellular and spatial continuum of TAM functional states governs immune exclusion and dictates immune checkpoint resistance in melanomaSemantic proximity Read ↗

Spatially Resolved Transcriptomics Enables Dissection of Genetic Heterogeneity in Stage III Cutaneous Malignant Melanoma.Semantic proximity Read ↗

Temporal and spatial composition of the tumor microenvironment predicts response to immune checkpoint inhibitionSemantic proximity Read ↗

Mapping the Immune Landscape in Metastatic Melanoma Reveals Localized Cell–Cell Interactions That Predict Immunotherapy ResponseSemantic proximity Read ↗

Defining Melanoma Immune Biomarkers—Desert, Excluded, and Inflamed Subtypes—Using a Gene Expression Classifier Reflecting Intratumoral Immune Response and Stromal PatternsSemantic proximity Read ↗

Breast cancer through the lens of whole transcriptome spatial imagingSemantic proximity Read ↗

Tumor-agnostic transcriptome-based classifier identifies spatial infiltration patterns of CD8+T cells in the tumor microenvironment and predicts clinical outcome in early-phase and late-phase clinical trialsSemantic proximity Read ↗

A cross-scale multimodal framework identifies clinically actionable immunotherapy biomarkers in melanoma through bulk to single-cell and spatial transcriptomics integrationSemantic proximity Read ↗

The density and spatial tissue distribution of CD8+ and CD163+ immune cells predict response and outcome in melanoma patients receiving MAPK inhibitorsSemantic proximity Read ↗

Dissecting cellular states of infiltrating microenvironment cells in melanoma by integrating single-cell and bulk transcriptome analysis.Semantic proximity Read ↗

Identification of an Immune-Related Prognostic Signature Associated with Immune Infiltration in MelanomaSemantic proximity Read ↗

Tumor-agnostic transcriptome-based classifier identifies spatial infiltration patterns of CD8+ T cells in the tumor microenvironment and predicts clinical outcome in early- and late-phase clinical trialsSemantic proximity Read ↗

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