Oral Presentation Clinical Oncology Society of Australia Annual Scientific Meeting 2021

Cancer Stem Cell Gene Signature Defines Response to Immune Checkpoint Inhibitors in Melanoma patients (#21)

Nicole A Seebacher 1 , Alexandra E Stacy 1 , Patric J J Jansson 2 , James Wilmott 3 , Mark Middleton 1
  1. Oncology, University of Oxford, Oxford, United Kingdom
  2. Kolling Institute, Sydney, Australia
  3. Melanoma Institute Australia, University of Sydney, Sydney, NSW, Australia

This study examined the relationship between cancer stem cell (CSC) markers and melanoma response to immunotherapy. Immunotherapy has emerged as a key anti-cancer therapy. It has demonstrated marked survival benefits in patients with advanced melanoma. However, there remains a significant number of patients who do not respond to treatment. Therefore, it is a priority to unravel the mechanisms underlying the emergence of drug resistance. One key players that may have a significant role in the development of drug resistance are the CSCs.

Transcriptomic profiles of 158 melanoma biopsies from patients treated with anti-programmed cell death 1 ligand-1 (PD-1) monotherapy (nivolumab or pembrolizumab; n = 63) or combined anti-PD-1 and anti-cytotoxic T lymphocyte antigen 4 (CTLA-4; ipilimumab; n = 57) were obtained. Patients were categorised as responders or non-responders using the Response Evaluation Criteria in Solid Tumors (RECIST), where responders had a complete response (CR), partial response (PR), or stable disease (SD) of greater than 6 months with no disease progression. Samples were analysed for differential gene expression after normalisation using DESeq2 and HTSeq. Gene levels of well-defined CSCs were compared between responders and non-responders. Changes to gene expression levels were also compared pre and post immunotherapy treatment.

This analysis identified a unique melanoma CSC marker gene expression “signature” that corresponds to a positive response to immune checkpoint inhibitors. This signature was associated with a significantly longer progression-free survival. Therefore, we have identified a CSC gene signature that can be used to predict patient response to the current available anti-PD-1 or anti-CTLA4 based therapies. Furthermore, this helps with identifying patients in need of other therapeutic strategies.