Literature DB >> 33535416

Melanoma Single-Cell Biology in Experimental and Clinical Settings.

Hans Binder1, Maria Schmidt1, Henry Loeffler-Wirth1, Lena Suenke Mortensen1, Manfred Kunz2.   

Abstract

Cellular heterogeneity is regarded as a major factor for treatment response and resistance in a variety of malignant tumors, including malignant melanoma. More recent developments of single-cell sequencing technology provided deeper insights into this phenomenon. Single-cell data were used to identify prognostic subtypes of melanoma tumors, with a special emphasis on immune cells and fibroblasts in the tumor microenvironment. Moreover, treatment resistance to checkpoint inhibitor therapy has been shown to be associated with a set of differentially expressed immune cell signatures unraveling new targetable intracellular signaling pathways. Characterization of T cell states under checkpoint inhibitor treatment showed that exhausted CD8+ T cell types in melanoma lesions still have a high proliferative index. Other studies identified treatment resistance mechanisms to targeted treatment against the mutated BRAF serine/threonine protein kinase including repression of the melanoma differentiation gene microphthalmia-associated transcription factor (MITF) and induction of AXL receptor tyrosine kinase. Interestingly, treatment resistance mechanisms not only included selection processes of pre-existing subclones but also transition between different states of gene expression. Taken together, single-cell technology has provided deeper insights into melanoma biology and has put forward our understanding of the role of tumor heterogeneity and transcriptional plasticity, which may impact on innovative clinical trial designs and experimental approaches.

Entities:  

Keywords:  melanoma; pseudotime analysis; single-cell transcriptome sequencing; treatment response

Year:  2021        PMID: 33535416     DOI: 10.3390/jcm10030506

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  4 in total

Review 1.  Research Progress of Cell Lineage Tracing and Single-Cell Sequencing Technology in Malignant Skin Tumors.

Authors:  Ang Li; Baoyi Liu; Jingkai Xu; Yong Cui
Journal:  Front Surg       Date:  2022-06-16

2.  Analysis of Melanoma Gene Expression Signatures at the Single-Cell Level Uncovers 45-Gene Signature Related to Prognosis.

Authors:  Mohamed Nabil Bakr; Haruko Takahashi; Yutaka Kikuchi
Journal:  Biomedicines       Date:  2022-06-22

3.  The Future of Precision Prevention for Advanced Melanoma.

Authors:  Katie J Lee; Brigid Betz-Stablein; Mitchell S Stark; Monika Janda; Aideen M McInerney-Leo; Liam J Caffery; Nicole Gillespie; Tatiane Yanes; H Peter Soyer
Journal:  Front Med (Lausanne)       Date:  2022-01-17

4.  3D Melanoma Cocultures as Improved Models for Nanoparticle-Mediated Delivery of RNA to Tumors.

Authors:  Maximilian E A Schäfer; Florian Keller; Jens Schumacher; Heinrich Haas; Fulvia Vascotto; Ugur Sahin; Mathias Hafner; Rüdiger Rudolf
Journal:  Cells       Date:  2022-03-17       Impact factor: 6.600

  4 in total

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