Tumor growth rate as a validated early radiological biomarker able to reflect treatment-induced changes in neuroendocrine tumors: The GREPONET-2 study

Angela Lamarca, Maxime Ronot, Salma Moalla, Joakim Crona, Marta Opalinska, Carlos Lopez Lopez, Daniela Pezzutti, Pavan Najran, Luciana Carvhalo, Regis Otaviano Franca Bezerra, Philip Borg, Naik Vietti Violi, Hector Vidal Trueba, Louis de Mestier, Niklaus Scaefer, Eric Baudin, Anders Sundin, Frederico Costa, Marianne Pavel, Clarisse Dromain

    Résultats de recherche: Contribution à un journalArticleRevue par des pairs

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    Résumé

    Purpose: Tumor growth rate (TGR) represents the percentage change in tumor volume per month (%/m). Previous results from the GREPONET study showed that TGR measured after 3 months (TGR3m) of starting systemic treatment (ST) or watch and wait (WW) was an early biomarker predicting progression-free survival (PFS) in neuroendocrine tumors (NET). Experimental Design: Patients from 7 centers with advanced grade (G) 1/2 NETs from the pancreas (P)/small bowel (SB) initiating ST/WW were eligible. Computed tomography (CT)/MRI performed at prebaseline, baseline, and 3 (±1) months of study entry were retrospectively reviewed. Aim-1: explore treatment-induced changes in TGR (DTGR3mBL; paired T test), and Aim-2: validate TGR3m (<0.8%/m vs. ≥0.8%/m) as an early biomarker in an independent cohort (Kaplan–Meier/Cox regression). Results: Of 785 patients screened, 127 were eligible. Mean (SD) TGR0 and TGR3m were 5.4%/m (14.9) and -1.4%/m (11.8), respectively. Mean (SD) DTGR3m-BL paired-difference was -6.8%/m (19.3; P < 0.001). Most marked DTGR3m-BL [mean (SD)] were identified with targeted therapies [-11.3%/m (4.7); P ¼ 0.0237] and chemotherapy [-7.9%/m (3.4); P ¼ 0.0261]. Multivariable analysis confirmed the absence of previous treatment (OR ¼ 4.65; 95% CI, 1.31–16.52; P ¼ 0.018) and low TGR3m (continuous variable; OR 1.09; 95% CI, 1.01–1.19; P ¼ 0.042) to be independent predictors of radiologic objective response. When the multivariable survival analysis for PFS (Cox regression) was adjusted to grade (P ¼ 0.004) and stage (P ¼ 0.017), TGR3m ≥ 0.8 (vs. <0.8) maintained its significance as a prognostic factor (P < 0.001), whereas TGR0 and DTGR3m-BL did not. TGR3m ≥ 0.8%/m was confirmed as an independent prognostic factor for PFS [external validation; Aim-2; multivariable HR 2.21 (95% CI, 1.21–3.70; P ¼ 0.003)]. Conclusions: TGR has a role as a biomarker for monitoring response to therapy for early identification of treatment-induced changes and for early prediction of PFS and radiologic objective response.

    langue originaleAnglais
    Pages (de - à)6692-6699
    Nombre de pages8
    journalClinical Cancer Research
    Volume25
    Numéro de publication22
    Les DOIs
    étatPublié - 15 nov. 2019

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