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

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

15 Nov 2019

Abstract excerpt

Background Clinical response to MAPK inhibitors in metastatic melanoma patients is heterogeneous for reasons still needing to be elucidated. As the patient immune activity contributes to treatment clinical benefit, the pre-existing level of immunity at tumor site may provide biomarkers of disease outcome to therapy. Here we investigated whether assessing the density and spatial tissue distribution of key immune...

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 Melanoma and MAPK Pathways

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31730502
DOI: 10.1186/s40425-019-0797-4

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

The density and spatial tissue distribution of CD8+ and CD163+ immune cells predict response and outcome in melanoma patients receiving MAPK inhibitorsPMID 31730502Read ↗

Linking Transcriptomic and Imaging Data Defines Features of a Favorable Tumor Immune Microenvironment and Identifies a Combination Biomarker for Primary MelanomaSemantic proximity Read ↗

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

Spatially Informed Gene Signatures for Response to Immunotherapy in MelanomaSemantic proximity Read ↗

Translating genetics into tissue: inflammatory cytokine-producing TAMs and PD-L1 tumor expression as poor prognosis factors in cutaneous melanomaSemantic proximity Read ↗

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

Genomic, Clinical, and Spatial Predictors of Durable Response to BRAF/MEK Inhibition in <i>BRAF</i> -Mutant MelanomaSemantic proximity Read ↗

Baseline tumor-infiltrating lymphocyte patterns and response to immune checkpoint inhibition in metastatic cutaneous melanomaSemantic proximity Read ↗

Mapping the immune landscape in metastatic melanoma reveals localized cell-cell interactions correlating to immunotherapy responsivenessSemantic proximity Read ↗

Distribution pattern of tumor infiltrating lymphocytes and tumor microenvironment composition as prognostic indicators in anorectal malignant melanoma.Semantic proximity Read ↗

Spatial proteomics reveals sirtuin 1 to be a determinant of T-cell infiltration in human melanomaSemantic 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 ↗

Intratumor Heterogeneity Correlates With Reduced Immune Activity and Worse Survival in Melanoma PatientsSemantic proximity Read ↗

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