Queensland Melanoma Genomic Biomarker Study

There is a clinical need to identify melanoma patients not likely to benefit from current targeted and immuno-therapy and identify biomarkers that can predict patient outcome. Genomic biomarkers are not yet part of staging but show promising results. The aim of this study was to determine genomic and image-based biomarkers as adverse prognostic factors in stage III/IV melanoma patients with resected disease. We found combining genomic and PET/CT derived biomarkers with current clinical assessment may offer additional prognostic tools to stratify patients in the clinic.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

2 Datasets 2 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001006374	A study looking at Germline and Somatic biomarkers using WES data only		88
EGAD00001006375	A radiomics study integrating PET/CT, WES and RNAseq data		99

Publications	Citations
Pathogenic germline variants are associated with poor survival in stage III/IV melanoma patients. Aoude LG, Bonazzi VF, Brosda S, Patel K, Koufariotis LT, Oey H, Nones K, Wood S, Pearson JV, Lonie JM, Arneil M, Atkinson V, Smithers BM, Waddell N, Barbour AP. Sci Rep 10: 2020 17687	8
Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology. MacDonald S, Foley H, Yap M, Johnston RL, Steven K, Koufariotis LT, Sharma S, Wood S, Addala V, Pearson JV, Roosta F, Waddell N, Kondrashova O, Trzaskowski M. Sci Rep 13: 2023 7395	0