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Advancing immunotherapy for melanoma: the critical role of single-cell analysis in identifying predictive biomarkers

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机构: [1]Clinical Medical College, Southwest Medical University, Luzhou, China. [2]Department of Pathology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China. [3]Department of Art and Design, Shanghai Institute of Technology, Shanghai, China. [4]Department of Oncology, Chongqing General Hospital, Chongqing University, Chongqing, China. [5]Department of Specialty Medicine, Ohio University, Athens, OH, United States. [6]Department of Oncology, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
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关键词: single-cell analysis melanoma immunotherapy predictive biomarkers TME ICI

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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.Copyright © 2024 He, Lu, Feng, Lu, Shen, Xu, Luo, Yang, Chi and Huang.

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出版当年[2023]版:
大类 | 2 区 医学
小类 | 2 区 免疫学
最新[2023]版:
大类 | 2 区 医学
小类 | 2 区 免疫学
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第一作者机构: [1]Clinical Medical College, Southwest Medical University, Luzhou, China.
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