The Molecular Tumor Board of the Regina Elena National Cancer Institute: from accrual to treatment in real-world.

Access to treatment Circulating tumor DNA (ctDNA) Digital PCR (dPCR) Molecular tumor board Next generation sequencing (NGS) Off-label Target therapy Tumor DNA (tDNA)

Journal

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

Informations de publication

Date de publication:
16 10 2023
Historique:
received: 09 08 2023
accepted: 05 10 2023
medline: 23 10 2023
pubmed: 17 10 2023
entrez: 16 10 2023
Statut: epublish

Résumé

Molecular Tumor Boards (MTB) operating in real-world have generated limited consensus on good practices for accrual, actionable alteration mapping, and outcome metrics. These topics are addressed herein in 124 MTB patients, all real-world accrued at progression, and lacking approved therapy options. Actionable genomic alterations identified by tumor DNA (tDNA) and circulating tumor DNA (ctDNA) profiling were mapped by customized OncoKB criteria to reflect diagnostic/therapeutic indications as approved in Europe. Alterations were considered non-SoC when mapped at either OncoKB level 3, regardless of tDNA/ctDNA origin, or at OncoKB levels 1/2, provided they were undetectable in matched tDNA, and had not been exploited in previous therapy lines. Altogether, actionable alterations were detected in 54/124 (43.5%) MTB patients, but only in 39 cases (31%) were these alterations (25 from tDNA, 14 from ctDNA) actionable/unexploited, e.g. they had not resulted in the assignment of pre-MTB treatments. Interestingly, actionable and actionable/unexploited alterations both decreased (37.5% and 22.7% respectively) in a subset of 88 MTB patients profiled by tDNA-only, but increased considerably (77.7% and 66.7%) in 18 distinct patients undergoing combined tDNA/ctDNA testing, approaching the potential treatment opportunities (76.9%) in 147 treatment-naïve patients undergoing routine tDNA profiling for the first time. Non-SoC therapy was MTB-recommended to all 39 patients with actionable/unexploited alterations, but only 22 (56%) accessed the applicable drug, mainly due to clinical deterioration, lengthy drug-gathering procedures, and geographical distance from recruiting clinical trials. Partial response and stable disease were recorded in 8 and 7 of 19 evaluable patients, respectively. The time to progression (TTP) ratio (MTB-recommended treatment vs last pre-MTB treatment) exceeded the conventional Von Hoff 1.3 cut-off in 9/19 cases, high absolute TTP and Von Hoff values coinciding in 3 cases. Retrospectively, 8 patients receiving post-MTB treatment(s) as per physician's choice were noted to have a much longer overall survival from MTB accrual than 11 patients who had received no further treatment (35.09 vs 6.67 months, p = 0.006). MTB-recommended/non-SoC treatments are effective, including those assigned by ctDNA-only alterations. However, real-world MTBs may inadvertently recruit patients electively susceptible to diverse and/or multiple treatments.

Sections du résumé

BACKGROUND
Molecular Tumor Boards (MTB) operating in real-world have generated limited consensus on good practices for accrual, actionable alteration mapping, and outcome metrics. These topics are addressed herein in 124 MTB patients, all real-world accrued at progression, and lacking approved therapy options.
METHODS
Actionable genomic alterations identified by tumor DNA (tDNA) and circulating tumor DNA (ctDNA) profiling were mapped by customized OncoKB criteria to reflect diagnostic/therapeutic indications as approved in Europe. Alterations were considered non-SoC when mapped at either OncoKB level 3, regardless of tDNA/ctDNA origin, or at OncoKB levels 1/2, provided they were undetectable in matched tDNA, and had not been exploited in previous therapy lines.
RESULTS
Altogether, actionable alterations were detected in 54/124 (43.5%) MTB patients, but only in 39 cases (31%) were these alterations (25 from tDNA, 14 from ctDNA) actionable/unexploited, e.g. they had not resulted in the assignment of pre-MTB treatments. Interestingly, actionable and actionable/unexploited alterations both decreased (37.5% and 22.7% respectively) in a subset of 88 MTB patients profiled by tDNA-only, but increased considerably (77.7% and 66.7%) in 18 distinct patients undergoing combined tDNA/ctDNA testing, approaching the potential treatment opportunities (76.9%) in 147 treatment-naïve patients undergoing routine tDNA profiling for the first time. Non-SoC therapy was MTB-recommended to all 39 patients with actionable/unexploited alterations, but only 22 (56%) accessed the applicable drug, mainly due to clinical deterioration, lengthy drug-gathering procedures, and geographical distance from recruiting clinical trials. Partial response and stable disease were recorded in 8 and 7 of 19 evaluable patients, respectively. The time to progression (TTP) ratio (MTB-recommended treatment vs last pre-MTB treatment) exceeded the conventional Von Hoff 1.3 cut-off in 9/19 cases, high absolute TTP and Von Hoff values coinciding in 3 cases. Retrospectively, 8 patients receiving post-MTB treatment(s) as per physician's choice were noted to have a much longer overall survival from MTB accrual than 11 patients who had received no further treatment (35.09 vs 6.67 months, p = 0.006).
CONCLUSIONS
MTB-recommended/non-SoC treatments are effective, including those assigned by ctDNA-only alterations. However, real-world MTBs may inadvertently recruit patients electively susceptible to diverse and/or multiple treatments.

Identifiants

pubmed: 37845764
doi: 10.1186/s12967-023-04595-5
pii: 10.1186/s12967-023-04595-5
pmc: PMC10577953
doi:

Substances chimiques

DNA, Neoplasm 0
Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

725

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Patrizio Giacomini (P)

Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy. patrizio.giacomini@ifo.it.

Fabio Valenti (F)

UOC Translational Oncology Research, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Matteo Allegretti (M)

UOC Translational Oncology Research, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Matteo Pallocca (M)

Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Francesca De Nicola (F)

SAFU, Department of Research, Advanced Diagnostics, and Technological Innovation, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Ludovica Ciuffreda (L)

SAFU, Department of Research, Advanced Diagnostics, and Technological Innovation, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Maurizio Fanciulli (M)

SAFU, Department of Research, Advanced Diagnostics, and Technological Innovation, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Stefano Scalera (S)

Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Simonetta Buglioni (S)

Department of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Elisa Melucci (E)

Department of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Beatrice Casini (B)

Department of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Mariantonia Carosi (M)

Department of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Edoardo Pescarmona (E)

Department of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Elena Giordani (E)

UOC Translational Oncology Research, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Francesca Sperati (F)

Clinical Trial Center, Biostatistics and Bioinformatics, San Gallicano Dermatological Institute IRCCS, 00144, Rome, Italy.

Nicoletta Jannitti (N)

Pharmacy Unit, Medical Direction, IRCCS-Regina Elena National Cancer Institute and San Gallicano Institute, 00144, Rome, Italy.

Martina Betti (M)

Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Marcello Maugeri-Saccà (M)

Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.
Medical Oncology 2, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Fabiana Letizia Cecere (FL)

Medical Oncology 2, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Veronica Villani (V)

Neuro-Oncology Unit, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Andrea Pace (A)

Neuro-Oncology Unit, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Marialuisa Appetecchia (M)

Oncological Endocrinology Unit, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Patrizia Vici (P)

Phase IV Studies, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Antonella Savarese (A)

Medical Oncology 1, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Eriseld Krasniqi (E)

Phase IV Studies, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Virginia Ferraresi (V)

Sarcomas and Rare Tumors Departmental Unit, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Michelangelo Russillo (M)

Sarcomas and Rare Tumors Departmental Unit, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Alessandra Fabi (A)

Precision Medicine Unit in Senology, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy.

Lorenza Landi (L)

Clinical Trial Center: Phase 1 and Precision Medicine, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Gabriele Minuti (G)

Clinical Trial Center: Phase 1 and Precision Medicine, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Federico Cappuzzo (F)

Medical Oncology 2, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Massimo Zeuli (M)

Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.
Medical Oncology 1, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

Gennaro Ciliberto (G)

Scientific Direction, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.

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