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Correction to: _Nature Communications_ https://doi.org/10.1038/s41467-021-21207-2, published online 18 February 2021. The original version of this article used a registered trademark name to
indicate the 27 genes that comprise the ‘DecisionDx-Melanoma’ test; which was incorrect References to the gene signature derived from these genes have been amended and are now referred to
as the ‘Gerami_27’ gene signature. In particular: In the fourth paragraph of the Results section “Signature added incremental prognostic value when combined with conventional clinical
staging” the sentence “The published signature from Gerami et al.12 (Decision-Dx MelanomaTM; _n_ = 27 genes) was not associated with OS in multivariate models in the AVAST-M primary melanoma
dataset” has been replaced with “The published signature from Gerami et al.12 (Gerami_27; _n_ = 27 genes) was not associated with OS in multivariate models in the AVAST-M primary melanoma
dataset”. In the third paragraph of the Results section “Cam_121 predicts metastasis better than both clinical covariates and published prognostic signatures” the sentence “In order to test
the performance of the published prognostic signatures from Gerami et al. (Decision-Dx MelanomaTM; _n_ = 27 genes) and Thakur et al.” has been replaced with “In order to test the performance
of the published prognostic signatures from Gerami et al. (Gerami_27; _n_ = 27 genes) and Thakur et al.”. In the same section in the last line “Cam_121 vs Decision-Dx Melanoma” has been
replaced with “Cam_121 vs Gerami_27”. In the first paragraph of the Discussion, the sentence “The 31-GEP assay (Decision-Dx MelanomaTM, Castle Biosciences) has been developed in an attempt
to address this clinical dilemma” has been replaced with “The 31-GEP assay (Gerami_27) has been developed in an attempt to address this clinical dilemma”. In the first paragraph of Methods
section “Model development and selection”, the sentence “We also compared this to the predictive power of two published prognostic signatures (LMC_150 and Decision-Dx Melanoma” has been
replaced with “We also compared this to the predictive power of two published prognostic signatures (LMC_150 and Gerami_27’ in an independent analysis”. In Fig. 3e, Decision-Dx’ has been
replaced with: ‘Gerami_27’ and in the associated legend: the sentence “Decision-Dx Melanoma: Decision-Dx MelanomaTM, LMC_150: Leeds Melanoma Cohort 150 gene signature” has been replaced with
“Gerami_27, LMC_150: Leeds Melanoma Cohort 150 gene signature”. The original reference 12 “Gerami, P. et al. Gene expression profiling for molecular staging of cutaneous melanoma in
patients undergoing sentinel lymph node biopsy. J Am Acad Dermatol 72, 780-5.e3 (2015)” has been replaced with “Gerami, P. et al. Development of a prognostic genetic signature to predict the
metastatic risk associated with cutaneous melanoma. Clin Cancer Res 21, 175-183 (2015). In Supplementary Fig. 6a the _x_-axis label ‘Decision-Dx’ has been replaced with ‘Gerami_27’. The
title of Supplementary Fig. 6a has been updated to read ‘Forest plot of univariate and multivariate survival analysis for the two previously published signatures (Gerami_27 and LMC_150). In
the legend to Supplementary Figure 6a the sentence that previously read ‘Forest plot indicating the hazard ratio (HR) estimates (dots at the centre of error bars), corresponding to 95%
confidence intervals of the HR estimates (horizontal error bars) and two-sided Wald t-test p-values related to the signature parameter when considering the signature definitions of a) Gerami
and b) LMC_150 when predicting overall survival (green) and progression free survival (orange) by means of Cox proportional hazard models when controlling for different (sets of) clinical
variables (y-axes)’ has been updated to read ‘Forest plot indicating the hazard ratio (HR) estimates (dots at the centre of error bars), corresponding to 95% confidence intervals of the HR
estimates (horizontal error bars) and two-sided Wald t-test p-values related to the signature parameter when considering the signature definitions of a) Gerami_27 and b) LMC_150 when
predicting overall survival (green) and progression free survival (orange) by means of Cox proportional hazard models when controlling for different (sets of) clinical variables (y-axes). In
row 4 of Supplementary Tables 2c ‘Decision-Dx’ has been replaced with ‘Gerami_27’. In addition, the original Supplementary Fig. 3a and Supplementary Fig. 15 (top) contained a typographical
error and ‘no distant recurrence, 89’ has been replaced with ‘no distant recurrence, 105’. The text and the main figures have been corrected in both the PDF and HTML versions of the Article.
The HTML has been updated to include a corrected version of the Supplementary Information. AUTHOR INFORMATION Author notes * These authors contributed equally: David J. Adams, Alvis Brazma,
Roy Rabbie. AUTHORS AND AFFILIATIONS * European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, UK Manik Garg & Alvis Brazma *
Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, UK Dominique-Laurent Couturier * University of Leeds School of Medicine, Leeds,
United Kingdom Jérémie Nsengimana, Julia Newton-Bishop & D. Timothy Bishop * Biostatistics Research Group, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle
University, Newcastle upon Tyne, UK Jérémie Nsengimana * CIBIO/InBIO-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Rua Padre Armando Quintas,
4485-601, Vairão, Portugal Nuno A. Fonseca * Oncology Biomarker Development, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA Matthew Wongchenko & Yibing Yan * Lund
University Cancer Center, Lund University, Lund, Sweden Martin Lauss & Göran B. Jönsson * Cambridge Cancer Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
Christine Parkinson, Pippa Corrie & Roy Rabbie * Oxford NIHR Biomedical Research Centre and Department of Oncology, University of Oxford, Oxford, UK Mark R. Middleton * Department of
Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK Sarah McDonald, Nikki Stefanos & John Tadross * Melanoma Institute Australia, The University of Sydney,
North Sydney, NSW, Australia Ismael A. Vergara, Serigne Lo, James S. Wilmott, John F. Thompson, Georgina V. Long & Richard A. Scolyer * Faculty of Medicine and Health, The University of
Sydney, Sydney, NSW, Australia Ismael A. Vergara, Serigne Lo, James S. Wilmott, John F. Thompson, Georgina V. Long & Richard A. Scolyer * Institute for Research and Medical Consultations
(IRMC), Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia Serigne Lo * QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia Felicity Newell * Discipline of
Surgery, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia John F. Thompson * Royal North Shore and Mater Hospitals, Sydney, Australia Georgina V. Long *
Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and New South Wales Health Pathology, Sydney, NSW, Australia Richard A. Scolyer * Experimental Cancer Genetics, The
Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK David J. Adams & Roy Rabbie Authors * Manik Garg View author publications You can also search for this author inPubMed Google
Scholar * Dominique-Laurent Couturier View author publications You can also search for this author inPubMed Google Scholar * Jérémie Nsengimana View author publications You can also search
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Newton-Bishop View author publications You can also search for this author inPubMed Google Scholar * Christine Parkinson View author publications You can also search for this author inPubMed
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Roy Rabbie. SUPPLEMENTARY INFORMATION UPDATED SUPPLEMENTARY DATA RIGHTS AND PERMISSIONS OPEN ACCESS This article is licensed under a Creative Commons Attribution 4.0 International License,
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and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Garg, M., Couturier, DL., Nsengimana, J. _et al._ Author Correction: Tumour gene expression signature in primary melanoma predicts
long-term outcomes. _Nat Commun_ 13, 2841 (2022). https://doi.org/10.1038/s41467-022-30365-w Download citation * Published: 17 May 2022 * DOI: https://doi.org/10.1038/s41467-022-30365-w
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