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Supplementary Figure 3 from Radiomics Biomarkers Correlate with CD8 Expression and Predict Immune Signatures in Melanoma Patients

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posted on 2023-04-03, 19:44 authored by Lauren G. Aoude, Bernadette Z.Y. Wong, Vanessa F. Bonazzi, Sandra Brosda, Shaun B. Walters, Lambros T. Koufariotis, Marjan M. Naeini, John V. Pearson, Harald Oey, Kalpana Patel, Julia J. Bradford, Conor J. Bloxham, Victoria Atkinson, Phillip Law, Geoffrey Strutton, Gerard Bayley, Samuel Yang, B. Mark Smithers, Nicola Waddell, Kenneth Miles, Andrew P. Barbour

Multiplex immunofluorescence staining quantification by Visiopharm Image Analytical System. DAPI nuclei were segmented defining the areas. Then each marker was quantified within this DAPI area. MPP4 low (MelR062) and MPP4 high (MelR166) phenotypes are represented.

Funding

National Health and Medical Research Council of Australia (NHMRC)

NHMRC

Collaborative Cancer Research Scheme, Cure Cancer Australia

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ARTICLE ABSTRACT

Treatment for metastatic melanoma includes targeted and/or immunotherapy. Although many patients respond, only a subset has complete response. As late-stage patients often have multiple tumors in difficult access sites, non-invasive techniques are necessary for the development of predictive/prognostic biomarkers. PET/CT scans from 52 patients with stage III/IV melanoma were assessed and CT image parameters were evaluated as prognostic biomarkers. Analysis indicated patients with high standard deviation or high mean of positive pixels (MPP) had worse progression-free survival (P = 0.00047 and P = 0.0014, respectively) and worse overall survival (P = 0.0223 and P = 0.0465, respectively). Whole-exome sequencing showed high MPP was associated with BRAF mutation status (P = 0.0389). RNA-sequencing indicated patients with immune “cold” signatures had worse survival, which was associated with CT biomarker, MPP4 (P = 0.0284). Multiplex immunofluorescence confirmed a correlation between CD8 expression and image biomarkers (P = 0.0028). CT parameters have the potential to be cost-effective biomarkers of survival in melanoma, and reflect the tumor immune-microenvironment.

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    Molecular Cancer Research

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    Keywords

    Genome BiologyImagingPositron emission tomography (PET)X-ray computed tomography (CT)Skin CancersMelanoma

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