Back to search

Article

Deciphering the Tumor Microenvironment: An Integrated Single-Cell RNA-Seq and AI Framework for Novel Biomarker and Therapeutic Target Discovery in Melanoma

2026-07-05

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Melanoma represents a highly immunogenic and therapeutically challenging malignancy. The complex cellular ecosystem of the tumor microenvironment (TME) acts as a critical driver of immune evasion, patient prognosis, and treatment resistance. Traditional bulk sequencing often fails to resolve these high-resolution intercellular dynamics. This investigation presents an end-to-...

Topics

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

Identifiers and source

Literature Corpus work
c6bba57b-94ec-520c-973e-1b0a4bb383d4
DOI
10.64898/2026.07.01.735754
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.
Deciphering the Tumor Microenvironment: An Integrated Single-Cell RNA-Seq and AI Framework for Novel Biomarker and Therapeutic Target Discovery in MelanomaDOI 10.64898/2026.07.01.735754
Predicting targeted- and immunotherapeutic response outcomes in melanoma with single-cell Raman spectroscopy and AISemantic proximity
Integrative single-cell profiling of melanoma reveals a tumor microenvironment signature predictive of immunotherapy responseSemantic proximity
A Mitoxyperilysis-Related Single-Cell and Machine-Learning Framework Defines an Immune-Cold Melanoma Phenotype and a Robust Prognostic Signature.Semantic proximity
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seqSemantic proximity
Multi-omics integrative analysis of the glioma microenvironment reveals IDH-dependent cellular communication and prognostic signaturesSemantic proximity
A cross-scale multimodal framework identifies clinically actionable immunotherapy biomarkers in melanoma through bulk to single-cell and spatial transcriptomics integrationSemantic proximity
Single-cell and bulk transcriptome analysis reveals tumor cell heterogeneity and underlying molecular program in uveal melanomaSemantic proximity
The combination of single-cell and bulk RNA sequencing analysis decodes the melanoma tumor microenvironment and identifies novel T cell-associated signature genesSemantic proximity
Decoding melanoma-immune cell communication through spatially resolved ligand-receptor interaction analysesSemantic proximity
Uncovering gene and cellular signatures of immune checkpoint response via machine learning and single-cell RNA-seqSemantic proximity
Single-cell spatial multiomics reveals tumor microenvironment vulnerabilities in cancer resistance to immunotherapySemantic proximity
Combining single-cell and bulk RNA sequencing to identify CAF-related signature for prognostic prediction and treatment response in patients with melanomaSemantic proximity
Select a neighboring publication to make it the new centre.