A Gene Expression-based Model to Predict Metabolic Response After Two Courses of ABVD in Hodgkin Lymphoma Patients.


Journal

Clinical cancer research : an official journal of the American Association for Cancer Research
ISSN: 1557-3265
Titre abrégé: Clin Cancer Res
Pays: United States
ID NLM: 9502500

Informations de publication

Date de publication:
15 01 2020
Historique:
received: 20 07 2019
revised: 12 09 2019
accepted: 15 10 2019
pubmed: 28 10 2019
medline: 2 10 2020
entrez: 25 10 2019
Statut: ppublish

Résumé

Early response to ABVD, assessed with interim FDG-PET (iPET), is prognostic for classical Hodgkin lymphoma (cHL) and supports the use of response adapted therapy. The aim of this study was to identify a gene-expression profile on diagnostic biopsy to predict iPET positivity (iPET Consecutive untreated patients with stage I-IV cHL who underwent iPET after two cycles of ABVD were identified. Expression of 770 immune-related genes was analyzed by digital expression profiling (NanoString Technology). iPET was centrally reviewed according to the five-point Deauville scale (DS 1-5). An iPET A training set of 121 and a validation set of 117 patients were identified, with 23 iPET In cHL, iPET is associated with a genetic signature and can be predicted by applying an integrated gene-based model on the diagnostic biopsy.

Identifiants

pubmed: 31645353
pii: 1078-0432.CCR-19-2356
doi: 10.1158/1078-0432.CCR-19-2356
doi:

Substances chimiques

Biomarkers, Tumor 0
Radiopharmaceuticals 0
Fluorodeoxyglucose F18 0Z5B2CJX4D
Bleomycin 11056-06-7
Vinblastine 5V9KLZ54CY
Dacarbazine 7GR28W0FJI
Doxorubicin 80168379AG

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

373-383

Informations de copyright

©2019 American Association for Cancer Research.

Auteurs

Stefano Luminari (S)

Hematology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy. Alessia.Ciarrocchi@ausl.re.it Stefano.Luminari@ausl.re.it.
Surgical, Medical and Dental Department of Morphological Sciences related to Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio Emilia, Reggio Emilia, Italy.

Benedetta Donati (B)

Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Massimiliano Casali (M)

Nuclear Medicine, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Riccardo Valli (R)

Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Raffaella Santi (R)

Pathology Unit, Careggi University Hospital, Firenze, Italy.

Benedetta Puccini (B)

Hematology, AOSP Careggi, Firenze, Italy.

Sofya Kovalchuk (S)

Hematology, AOSP Careggi, Firenze, Italy.

Alessia Ruffini (A)

Hematology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Gruppo Amici Dell'Ematologia Foundation_GrADE, Reggio Emilia, Italy.

Angelo Fama (A)

Hematology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Valentina Berti (V)

Nuclear Medicine, University of Firenze, Firenze, Italy.

Valentina Fragliasso (V)

Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Magda Zanelli (M)

Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Federica Vergoni (F)

Pathology Unit, Careggi University Hospital, Firenze, Italy.

Annibale Versari (A)

Nuclear Medicine, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Luigi Rigacci (L)

Hematology and Stem Cell Transplant AO San Camillo Forlanini, Roma, Italy.

Francesco Merli (F)

Hematology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Alessia Ciarrocchi (A)

Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy. Alessia.Ciarrocchi@ausl.re.it Stefano.Luminari@ausl.re.it.

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Classifications MeSH