KIT/PDGFRA Variant Allele Frequency as Prognostic Factor in Gastrointestinal Stromal Tumors (GISTs): Results From a Multi-Institutional Cohort Study.

KIT mutation PDGFRA mutation GIST adjuvant imatinib variant allele frequency

Journal

The oncologist
ISSN: 1549-490X
Titre abrégé: Oncologist
Pays: England
ID NLM: 9607837

Informations de publication

Date de publication:
18 Jul 2023
Historique:
received: 04 04 2023
accepted: 09 06 2023
medline: 18 7 2023
pubmed: 18 7 2023
entrez: 18 7 2023
Statut: aheadofprint

Résumé

The patient selection for optimal adjuvant therapy in gastrointestinal stromal tumors (GISTs) is provided by nomogram based on tumor size, mitotic index, tumor location, and tumor rupture. Although mutational status is not currently used to risk assessment, tumor genotype showed a prognostic influence on natural history and tumor relapse. Innovative measures, such as KIT/PDGFRA-mutant-specific variant allele frequency (VAF) levels detection from next-generation sequencing (NGS), may act as a surrogate of tumor burden and correlate with prognosis and overall survival of patients with GIST, helping the choice for adjuvant treatment. This was a multicenter, hospital-based, retrospective/prospective cohort study to investigate the prognostic role of KIT or PDGFRA-VAF of GIST in patients with radically resected localized disease. In the current manuscript, we present the results from the retrospective phase of the study. Two-hundred (200) patients with GIST between 2015 and 2022 afferent to 6 Italian Oncologic Centers in the EURACAN Network were included in the study. The receiver operating characteristic (ROC) curves analysis was used to classify "low" vs. "high" VAF values, further normalized on neoplastic cellularity (nVAF). When RFS between the low and high nVAF groups were compared, patients with GIST with KIT/PDGFRA nVAF > 50% showed less favorable RFS than patients in the group of nVAF ≤ 50% (2-year RFS, 72.6% vs. 93%, respectively; P = .003). The multivariable Cox regression model confirmed these results. In the homogeneous sub-population of intermediate-risk, patients with KIT-mutated GIST, the presence of nVAF >50% was statistically associated with higher disease recurrence. In our study, we demonstrated that higher nVAF levels were independent predictors of GIST prognosis and survival in localized GIST patients with tumors harboring KIT or PDGFRA mutations. In the cohort of intermediate-risk patients, nVAF could be helpful to improve prognostication and the use of adjuvant imatinib.

Sections du résumé

BACKGROUND BACKGROUND
The patient selection for optimal adjuvant therapy in gastrointestinal stromal tumors (GISTs) is provided by nomogram based on tumor size, mitotic index, tumor location, and tumor rupture. Although mutational status is not currently used to risk assessment, tumor genotype showed a prognostic influence on natural history and tumor relapse. Innovative measures, such as KIT/PDGFRA-mutant-specific variant allele frequency (VAF) levels detection from next-generation sequencing (NGS), may act as a surrogate of tumor burden and correlate with prognosis and overall survival of patients with GIST, helping the choice for adjuvant treatment.
PATIENTS AND METHODS METHODS
This was a multicenter, hospital-based, retrospective/prospective cohort study to investigate the prognostic role of KIT or PDGFRA-VAF of GIST in patients with radically resected localized disease. In the current manuscript, we present the results from the retrospective phase of the study.
RESULTS RESULTS
Two-hundred (200) patients with GIST between 2015 and 2022 afferent to 6 Italian Oncologic Centers in the EURACAN Network were included in the study. The receiver operating characteristic (ROC) curves analysis was used to classify "low" vs. "high" VAF values, further normalized on neoplastic cellularity (nVAF). When RFS between the low and high nVAF groups were compared, patients with GIST with KIT/PDGFRA nVAF > 50% showed less favorable RFS than patients in the group of nVAF ≤ 50% (2-year RFS, 72.6% vs. 93%, respectively; P = .003). The multivariable Cox regression model confirmed these results. In the homogeneous sub-population of intermediate-risk, patients with KIT-mutated GIST, the presence of nVAF >50% was statistically associated with higher disease recurrence.
CONCLUSION CONCLUSIONS
In our study, we demonstrated that higher nVAF levels were independent predictors of GIST prognosis and survival in localized GIST patients with tumors harboring KIT or PDGFRA mutations. In the cohort of intermediate-risk patients, nVAF could be helpful to improve prognostication and the use of adjuvant imatinib.

Identifiants

pubmed: 37463014
pii: 7225931
doi: 10.1093/oncolo/oyad206
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press.

Auteurs

Lorena Incorvaia (L)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Dario De Biase (D)

Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
Solid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Margherita Nannini (M)

Department of Experimental, Diagnostic and Specialized Medicine, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.

Elena Fumagalli (E)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Bruno Vincenzi (B)

Department of Medical Oncology, Campus Biomedico University of Rome, Rome, Italy.

Ida De Luca (I)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Chiara Brando (C)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Alessandro Perez (A)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Maria A Pantaleo (MA)

Department of Experimental, Diagnostic and Specialized Medicine, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.

Silvia Gasperoni (S)

Department of Oncology and Robotic Surgery, Translational Oncology Unit, University Hospital Careggi, Firenze, Italy.

Lorenzo D'Ambrosio (L)

Division of Medical Oncology, Candiolo Cancer Institute, FPO - IRCCS, Candiolo, TO, Italy.

Giovanni Grignani (G)

Division of Medical Oncology, Candiolo Cancer Institute, FPO - IRCCS, Candiolo, TO, Italy.

Thais Maloberti (T)

Solid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.

Erika Pedone (E)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Tancredi Didier Bazan Russo (TD)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Alessandro Mazzocca (A)

Department of Medical Oncology, Campus Biomedico University of Rome, Rome, Italy.

Laura Algeri (L)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Alessandra Dimino (A)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Nadia Barraco (N)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Roberta Serino (R)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Valerio Gristina (V)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Antonio Galvano (A)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Viviana Bazan (V)

Department of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), Section of Medical Oncology, University of Palermo, Palermo, Italy.

Antonio Russo (A)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Giuseppe Badalamenti (G)

Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.

Classifications MeSH