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Single-cell RNA sequencing reveals melanoma cell state-dependent heterogeneity of response to MAPK inhibitors.
Lim, Su Yin; Lin, Yingxin; Lee, Jenny H; Pedersen, Bernadette; Stewart, Ashleigh; Scolyer, Richard A; Long, Georgina V; Yang, Jean Y H; Rizos, Helen.
Afiliação
  • Lim SY; Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Melanoma Institute Australia, Australia. Electronic address: esther.lim@mq.edu.au.
  • Lin Y; School of Mathematics and Statistics, The University of Sydney, Australia; Charles Perkins Centre, The University of Sydney, Australia.
  • Lee JH; Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Melanoma Institute Australia, Australia; Department of Neurosurgery, Chris O'Brien Lifehouse, Sydney, NSW, Australia.
  • Pedersen B; Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Melanoma Institute Australia, Australia.
  • Stewart A; Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Melanoma Institute Australia, Australia.
  • Scolyer RA; Melanoma Institute Australia, Australia; Charles Perkins Centre, The University of Sydney, Australia; Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, Australia; Faculty of Medicine and Health, The University of Sydney, Australia.
  • Long GV; Melanoma Institute Australia, Australia; Charles Perkins Centre, The University of Sydney, Australia; Royal North Shore and Mater Hospitals, Sydney, Australia; Faculty of Medicine and Health, The University of Sydney, Australia.
  • Yang JYH; School of Mathematics and Statistics, The University of Sydney, Australia; Charles Perkins Centre, The University of Sydney, Australia.
  • Rizos H; Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Melanoma Institute Australia, Australia.
EBioMedicine ; 107: 105308, 2024 Sep.
Article em En | MEDLINE | ID: mdl-39216232
ABSTRACT

BACKGROUND:

Melanoma is a heterogeneous cancer influenced by the plasticity of melanoma cells and their dynamic adaptations to microenvironmental cues. Melanoma cells transition between well-defined transcriptional cell states that impact treatment response and resistance.

METHODS:

In this study, we applied single-cell RNA sequencing to interrogate the molecular features of immunotherapy-naive and immunotherapy-resistant melanoma tumours in response to ex vivo BRAF/MEK inhibitor treatment.

FINDINGS:

We confirm the presence of four distinct melanoma cell states - melanocytic, transitory, neural-crest like and undifferentiated, and identify enrichment of neural crest-like and undifferentiated melanoma cells in immunotherapy-resistant tumours. Furthermore, we introduce an integrated computational approach to identify subsets of responding and nonresponding melanoma cells within the transcriptional cell states.

INTERPRETATION:

Nonresponding melanoma cells are identified in all transcriptional cell states and are predisposed to BRAF/MEK inhibitor resistance due to pro-inflammatory IL6 and TNFɑ signalling. Our study provides a framework to study treatment response within distinct melanoma cell states and indicate that tumour-intrinsic pro-inflammatory signalling contributes to BRAF/MEK inhibitor resistance.

FUNDING:

This work was supported by Macquarie University, Melanoma Institute Australia, and the National Health and Medical Research Council of Australia (NHMRC; grant 2012860, 2028055).
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Resistencia a Medicamentos Antineoplásicos / Inibidores de Proteínas Quinases / Análise de Célula Única / Melanoma Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Resistencia a Medicamentos Antineoplásicos / Inibidores de Proteínas Quinases / Análise de Célula Única / Melanoma Idioma: En Ano de publicação: 2024 Tipo de documento: Article