Comprehensive genomic profiling on metastatic Melanoma: results from a network screening from 7 Italian Cancer Centres.

Alleanza Contro il Cancro Comprehensive genomic profiling Genomic biomarkers Immuno-checkpoint inhibitors Melanoma Network trial SKCM

Journal

Journal of translational medicine
ISSN: 1479-5876
Titre abrégé: J Transl Med
Pays: England
ID NLM: 101190741

Informations de publication

Date de publication:
06 Jan 2024
Historique:
received: 08 09 2023
accepted: 28 11 2023
medline: 7 1 2024
pubmed: 7 1 2024
entrez: 6 1 2024
Statut: epublish

Résumé

The current therapeutic algorithm for Advanced Stage Melanoma comprises of alternating lines of Targeted and Immuno-therapy, mostly via Immune-Checkpoint blockade. While Comprehensive Genomic Profiling of solid tumours has been approved as a companion diagnostic, still no approved predictive biomarkers are available for Melanoma aside from BRAF mutations and the controversial Tumor Mutational Burden. This study presents the results of a Multi-Centre Observational Clinical Trial of Comprehensive Genomic Profiling on Target and Immuno-therapy treated advanced Melanoma. 82 samples, collected from 7 Italian Cancer Centres of FFPE-archived Metastatic Melanoma and matched blood were sequenced via a custom-made 184-gene amplicon-based NGS panel. Sequencing and bioinformatics analysis was performed at a central hub. Primary analysis was carried out via the Ion Reporter framework. Secondary analysis and Machine Learning modelling comprising of uni and multivariate, COX/Lasso combination, and Random Forest, was implemented via custom R/Python scripting. The genomics landscape of the ACC-mela cohort is comparable at the somatic level for Single Nucleotide Variants and INDELs aside a few gene targets. All the clinically relevant targets such as BRAF and NRAS have a comparable distribution thus suggesting the value of larger scale sequencing in melanoma. No comparability is reached at the CNV level due to biotechnological biases and cohort numerosity. Tumour Mutational Burden is slightly higher in median for Complete Responders but fails to achieve statistical significance in Kaplan-Meier survival analysis via several thresholding strategies. Mutations on PDGFRB, NOTCH3 and RET were shown to have a positive effect on Immune-checkpoint treatment Overall and Disease-Free Survival, while variants in NOTCH4 were found to be detrimental for both endpoints. The results presented in this study show the value and the challenge of a genomics-driven network trial. The data can be also a valuable resource as a validation cohort for Immunotherapy and Target therapy genomic biomarker research.

Sections du résumé

BACKGROUND BACKGROUND
The current therapeutic algorithm for Advanced Stage Melanoma comprises of alternating lines of Targeted and Immuno-therapy, mostly via Immune-Checkpoint blockade. While Comprehensive Genomic Profiling of solid tumours has been approved as a companion diagnostic, still no approved predictive biomarkers are available for Melanoma aside from BRAF mutations and the controversial Tumor Mutational Burden. This study presents the results of a Multi-Centre Observational Clinical Trial of Comprehensive Genomic Profiling on Target and Immuno-therapy treated advanced Melanoma.
METHODS METHODS
82 samples, collected from 7 Italian Cancer Centres of FFPE-archived Metastatic Melanoma and matched blood were sequenced via a custom-made 184-gene amplicon-based NGS panel. Sequencing and bioinformatics analysis was performed at a central hub. Primary analysis was carried out via the Ion Reporter framework. Secondary analysis and Machine Learning modelling comprising of uni and multivariate, COX/Lasso combination, and Random Forest, was implemented via custom R/Python scripting.
RESULTS RESULTS
The genomics landscape of the ACC-mela cohort is comparable at the somatic level for Single Nucleotide Variants and INDELs aside a few gene targets. All the clinically relevant targets such as BRAF and NRAS have a comparable distribution thus suggesting the value of larger scale sequencing in melanoma. No comparability is reached at the CNV level due to biotechnological biases and cohort numerosity. Tumour Mutational Burden is slightly higher in median for Complete Responders but fails to achieve statistical significance in Kaplan-Meier survival analysis via several thresholding strategies. Mutations on PDGFRB, NOTCH3 and RET were shown to have a positive effect on Immune-checkpoint treatment Overall and Disease-Free Survival, while variants in NOTCH4 were found to be detrimental for both endpoints.
CONCLUSIONS CONCLUSIONS
The results presented in this study show the value and the challenge of a genomics-driven network trial. The data can be also a valuable resource as a validation cohort for Immunotherapy and Target therapy genomic biomarker research.

Identifiants

pubmed: 38184610
doi: 10.1186/s12967-023-04776-2
pii: 10.1186/s12967-023-04776-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

29

Subventions

Organisme : Ministero della Salute
ID : Ricerca Corrente

Informations de copyright

© 2023. The Author(s).

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Auteurs

Matteo Pallocca (M)

Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS Regina Elena National Cancer Institute, Rome, Italy. matteo.pallocca@ifo.it.

Ivan Molineris (I)

Department of Life Science and System Biology, University of Turin, Via Accademia Albertina 13, 10123, Turin, Italy.
University of Turin at Candiolo Cancer Institute, Turin, Italy.

Enrico Berrino (E)

University of Turin at Candiolo Cancer Institute, Turin, Italy.
Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.

Benedetta Marcozzi (B)

Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

Martina Betti (M)

Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

Lauretta Levati (L)

Laboratory of Molecular Oncology, IDI-IRCCS, Rome, Italy.

Stefania D'Atri (S)

Laboratory of Molecular Oncology, IDI-IRCCS, Rome, Italy.

Chiara Menin (C)

Immunology and Oncological Molecular Diagnostics, Oncological Institute, IOV IRCCS UOC, Padua, Italy.

Gabriele Madonna (G)

Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131, Naples, Italy.

Paola Ghiorzo (P)

Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy.
Department of Internal Medicine and Medical Specialties, University of Genova, 16132, Genoa, Italy.

Jenny Bulgarelli (J)

Immunotherapy, Cell Therapy and Biobank Unit, IRCCS Istituto Romagnolo Per lo Studio dei Tumori (IRST) "Dino Amadori", 47014, Meldola, Italy.

Virgina Ferraresi (V)

Sarcoma and Rare Tumours Departmental Unit- IRCCS Regina Elena National Cancer Institute-Rome, Rome, Italy.

Tiziana Venesio (T)

University of Turin at Candiolo Cancer Institute, Turin, Italy.

Monica Rodolfo (M)

Unit of Translational Immunology, Department of Experimental Oncology, IRCCS Foundation National Cancer Institute, Milan, Italy.

Licia Rivoltini (L)

Unit of Translational Immunology, Department of Experimental Oncology, IRCCS Foundation National Cancer Institute, Milan, Italy.

Luisa Lanfrancone (L)

Department of Experimental Oncology, European Institute of Oncology IRCCS (IEO), Milan, Italy.

Paolo Antonio Ascierto (PA)

Immunology and Oncological Molecular Diagnostics, Oncological Institute, IOV IRCCS UOC, Padua, Italy.

Luca Mazzarella (L)

Institute of General Pathology, Catholic University "Sacro Cuore", Rome, Italy.

Pier Giuseppe Pelicci (PG)

Department of Experimental Oncology, European Institute of Oncology IRCCS (IEO), Milan, Italy.
Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.

Ruggero De Maria (R)

Institute of General Pathology, Catholic University "Sacro Cuore", Rome, Italy.

Gennaro Ciliberto (G)

Scientific Direction, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

Enzo Medico (E)

University of Turin at Candiolo Cancer Institute, Turin, Italy.

Giandomenico Russo (G)

Istituto Dermopatico dell'Immacolata, IDI-IRCCS, Rome, Italy.

Classifications MeSH