Back to Search Start Over

Biomarker analysis of the MITO2 phase III trial of first-line treatment in ovarian cancer: Predictive value of DNA-PK and phosphorylated ACC

Authors :
Francesco Perrone
Gabriella Ferrandina
Giovanni Scambia
Roberto Sorio
Paolo Scollo
Maura Sonego
Silvana Canevari
Stefano Tamberi
Antonella Savarese
Elisabetta Zulato
Gennaro Chiappetta
Massimo Di Maio
Stefano Indraccolo
Antonio Febbraro
Simona Signoriello
Simona Losito
Sandro Pignata
Delia Mezzanzanica
Ciro Gallo
Franca Esposito
Enrico Breda
Gian Franco Zannoni
Antonella Ferro
Domenica Lorusso
Giosuè Scognamiglio
Renato Franco
Donato Natale
Daniela Califano
Gustavo Baldassarre
Vincenzo Canzonieri
Perrone, Francesco
Baldassarre, Gustavo
Indraccolo, Stefano
Signoriello, Simona
Chiappetta, Gennaro
Esposito, Franca
Ferrandina, Gabriella
Franco, Renato
Mezzanzanica, Delia
Sonego, Maura
Zulato, Elisabetta
Zannoni, Gian F
Canzonieri, Vincenzo
Scambia, Giovanni
Sorio, Roberto
Savarese, Antonella
Breda, Enrico
Scollo, Paolo
Ferro, Antonella
Tamberi, Stefano
Febbraro, Antonio
Natale, Donato
Di Maio, Massimo
Califano, Daniela
Scognamiglio, Giosue'
Lorusso, Domenica
Canevari, Silvana
Losito, Simona
Gallo, Ciro
Pignata, Sandro
Zannoni, Gian F.
Maio, Massimo Di
Scognamiglio, Giosuè
DI MAIO, Massimo
Source :
Oncotarget
Publication Year :
2016
Publisher :
Impact Journals LLC, 2016.

Abstract

// Francesco Perrone 1,* , Gustavo Baldassarre 2,* , Stefano Indraccolo 3,* , Simona Signoriello 4 , Gennaro Chiappetta 1 , Franca Esposito 5 , Gabriella Ferrandina 6 , Renato Franco 1,15 , Delia Mezzanzanica 7 , Maura Sonego 2 , Elisabetta Zulato 3 , Gian F. Zannoni 6 , Vincenzo Canzonieri 2 , Giovanni Scambia 6 , Roberto Sorio 2 , Antonella Savarese 8 , Enrico Breda 9 , Paolo Scollo 10 , Antonella Ferro 11 , Stefano Tamberi 12 , Antonio Febbraro 13 , Donato Natale 14 , Massimo Di Maio 1,16 , Daniela Califano 1 , Giosue Scognamiglio 1 , Domenica Lorusso 7 , Silvana Canevari 7 , Simona Losito 1 , Ciro Gallo 4,** and Sandro Pignata 1,** 1 Istituto Nazionale per lo Studio e la Cura dei Tumori - Fondazione G.Pascale, IRCCS, Napoli, Italy 2 Centro di Riferimento Oncologico, IRCCS, Aviano (PN), Italy 3 Istituto Oncologico Veneto, IRCCS, Padova, Italy 4 Dipartimento di Salute Mentale, Fisica e Medicina Preventiva, Statistica Medica, Seconda Universita, Napoli, Italy 5 Universita di Napoli Federico II, Napoli, Italy 6 Catholic University, Roma, Italy 7 Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy 8 Istituto Nazionale Tumori Regina Elena, IRCCS, Roma, Italy 9 Ospedale S. Giovanni Calibita Fatebenefratelli, Roma, Italy 10 Ospedale Cannizzaro, Catania, Italy 11 Ospedale S. Chiara, Trento, Italy 12 Ospedale Civile, Faenza, Italy 13 Ospedale Fatebenefratelli, Benevento, Italy 14 Ospedale S. Massimo, Penne (PE), Italy 15 Dipartimento di Salute mentale, Fisica e Medicina Preventiva, Anatomia Patologica, Seconda Universita, Napoli Italy 16 Universita degli Studi, Torino, Italy * co-first author ** co-last author Correspondence to: Sandro Pignata, email: // Keywords : ovarian cancer, phase 3 clinical trial, predictive factors, pACC, DNA-PK Received : June 11, 2016 Accepted : August 03, 2016 Published : September 15, 2016 Abstract Background: No biomarker is available to predict prognosis of patients with advanced ovarian cancer (AOC) and guide the choice of chemotherapy. We performed a prospective-retrospective biomarker study within the MITO2 trial on the treatment of AOC. Patients and methods: MITO2 is a randomised multicentre phase 3 trial conducted with 820 AOC patients assigned carboplatin/paclitaxel (carboplatin: AUC5, paclitaxel: 175 mg/m², every 3 weeks for 6 cycles) or carboplatin/PLD-pegylated liposomal doxorubicin (carboplatin: AUC5, PLD: 30 mg/m², every 3 weeks for 6 cycles) as first line treatment. Sixteen biomarkers (pathways of adhesion/invasion, apoptosis, transcription regulation, metabolism, and DNA repair) were studied in 229 patients, in a tissue microarray. Progression-free and overall survival were analysed with multivariable Cox model. Results: After 72 months median follow-up, 594 progressions and 426 deaths were reported; there was no significant difference between the two arms in the whole trial. No biomarker had significant prognostic value. Statistically significant interactions with treatment were found for DNA-dependent protein kinase (DNA-PK) and phosphorylated acetyl-coenzymeA carboxylase (pACC), both predicting worse outcome for patients receiving carboplatin/paclitaxel. Conclusion: These data show that in presence of DNA-PK or pACC overexpression, carboplatin/paclitaxel might be less effective than carboplatin/PLD as first line treatment of ovarian cancer patients. Further validation of these findings is warranted.

Details

Language :
English
Database :
OpenAIRE
Journal :
Oncotarget
Accession number :
edsair.doi.dedup.....a3dd5f50800ab91f89b08815e6466191