Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Melanoma Institute Australia, Australia.
School of Mathematics and Statistics, The University of Sydney, Australia; Charles Perkins Centre, The University of Sydney, Australia.
EBioMedicine. 2024 Sep;107:105308. doi: 10.1016/j.ebiom.2024.105308. Epub 2024 Aug 30.
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.
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.
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.
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.
This work was supported by Macquarie University, Melanoma Institute Australia, and the National Health and Medical Research Council of Australia (NHMRC; grant 2012860, 2028055).
黑色素瘤是一种异质性癌症,受黑色素瘤细胞的可塑性及其对微环境线索的动态适应影响。黑色素瘤细胞在影响治疗反应和耐药性的明确转录细胞状态之间转换。
在这项研究中,我们应用单细胞 RNA 测序来研究未经体外 BRAF/MEK 抑制剂治疗的免疫治疗初治和免疫治疗耐药黑色素瘤肿瘤的分子特征。
我们证实了存在四种不同的黑色素瘤细胞状态 - 黑色素细胞、过渡型、神经嵴样和未分化型,并在免疫治疗耐药肿瘤中发现了神经嵴样和未分化型黑色素瘤细胞的富集。此外,我们引入了一种综合计算方法来识别转录细胞状态中反应和非反应性黑色素瘤细胞的亚群。
非反应性黑色素瘤细胞存在于所有转录细胞状态中,由于促炎的 IL6 和 TNFɑ 信号,它们易发生 BRAF/MEK 抑制剂耐药。我们的研究为研究不同黑色素瘤细胞状态中的治疗反应提供了一个框架,并表明肿瘤内在的促炎信号有助于 BRAF/MEK 抑制剂耐药。
这项工作得到了麦考瑞大学、澳大利亚黑色素瘤研究所和澳大利亚国家卫生与医学研究理事会(NHMRC;资助 2012860、2028055)的支持。