ReviewFrontiers in immunology2024
Advancing immunotherapy for melanoma: the critical role of single-cell analysis in identifying predictive biomarkers.
Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data.PloS one · 2026Article
- IL1RAP Is Associated With an Inflammation-Immunity-Related State in Skin Cutaneous Melanoma: Integrative Evidence From Pan-Cancer Data and Melanoma Immunotherapy Cohorts.International journal of genomics · 2026Article
- Pan-cancer multi-omics analysis reveals IQCE as a malignant cell-restricted oncogenic biomarker driving immunosuppression and chemoresistance in cutaneous melanoma.Discover oncology · 2025Article
- Single-cell transcriptome analysis suggests cells of the tumor microenvironment as a major discriminator between brain and extracranial melanoma metastases.Biology direct · 2025Article
- Molecular and Genetic Markers for Malignant Melanoma: Implications for Prognosis and Therapy.Dermatopathology (Basel, Switzerland) · 2025Review
- Dissecting microbial communities with single-cell transcriptome analysis.Science (New York, N.Y.) · 2025Review
- Advances in research regarding epithelial-mesenchymal transition and prostate cancer.Frontiers in cell and developmental biology · 2025Review
- CD39Frontiers in oncology · 2025Review
- Single-cell transcriptomics identifies FOSL1-regulated IGFBP3+ melanoma subtype as a neuro-immunoregulatory signaling hub facilitating tumor progression.Frontiers in immunology · 2025Article
- Therapeutic Significance of NLRP3 Inflammasome in Cancer: Friend or Foe?International journal of molecular sciences · 2024Review
- Integrated single-cell RNA sequencing reveals the tumor heterogeneity and microenvironment landscape during liver metastasis in adenocarcinoma of esophagogastric junction.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Melanoma, a malignant skin cancer arising from melanocytes, exhibits rapid metastasis and a high mortality rate, especially in advanced stages. Current treatment modalities, including surgery, radiation, and immunotherapy, offer limited success, with immunotherapy using immune checkpoint inhibitors (ICIs) being the most promising. However, the high mortality rate underscores the urgent need for robust, non-invasive biomarkers to predict patient response to adjuvant therapies. The immune microenvironment of melanoma comprises various immune cells, which influence tumor growth and immune response. Melanoma cells employ multiple mechanisms for immune escape, including defects in immune recognition and epithelial-mesenchymal transition (EMT), which collectively impact treatment efficacy. Single-cell analysis technologies, such as single-cell RNA sequencing (scRNA-seq), have revolutionized the understanding of tumor heterogeneity and immune microenvironment dynamics. These technologies facilitate the identification of rare cell populations, co-expression patterns, and regulatory networks, offering deep insights into tumor progression, immune response, and therapy resistance. In the realm of biomarker discovery for melanoma, single-cell analysis has demonstrated significant potential. It aids in uncovering cellular composition, gene profiles, and novel markers, thus advancing diagnosis, treatment, and prognosis. Additionally, tumor-associated antibodies and specific genetic and cellular markers identified through single-cell analysis hold promise as predictive biomarkers. Despite these advancements, challenges such as RNA-protein expression discrepancies and tumor heterogeneity persist, necessitating further research. Nonetheless, single-cell analysis remains a powerful tool in elucidating the mechanisms underlying therapy response and resistance, ultimately contributing to the development of personalized melanoma therapies and improved patient outcomes.
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