Details

Autor(en) / Beteiligte

• Arias-Ramos, Nuria
• Ferrer-Font, Laura
• Lope-Piedrafita, Silvia
• Mocioiu, Victor
• Julià-Sapé, Margarida
• Pumarola, Martí
• Arús, Carles
• Candiota, Ana Paula

Titel

Metabolomics of Therapy Response in Preclinical Glioblastoma: A Multi-Slice MRSI-Based Volumetric Analysis for Noninvasive Assessment of Temozolomide Treatment

Ist Teil von

• Metabolites, 2017-05, Vol.7 (2), p.20

Ort / Verlag

Switzerland: MDPI

Erscheinungsjahr

2017

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Glioblastoma (GBM) is the most common aggressive primary brain tumor in adults, with a short survival time even after aggressive therapy. Non-invasive surrogate biomarkers of therapy response may be relevant for improving patient survival. Previous work produced such biomarkers in preclinical GBM using semi-supervised source extraction and single-slice Magnetic Resonance Spectroscopic Imaging (MRSI). Nevertheless, GBMs are heterogeneous and single-slice studies could prevent obtaining relevant information. The purpose of this work was to evaluate whether a multi-slice MRSI approach, acquiring consecutive grids across the tumor, is feasible for preclinical models and may produce additional insight into therapy response. Nosological images were analyzed pixel-by-pixel and a relative responding volume, the ( ), was defined to quantify response. Heterogeneous response levels were observed and treated animals were ascribed to three arbitrary predefined groups: high response (HR, = 2), = 68.2 ± 2.8%, intermediate response (IR, = 6), = 41.1 ± 4.2% and low response (LR, = 2), = 13.4 ± 14.3%, producing therapy response categorization which had not been fully registered in single-slice studies. Results agreed with the multi-slice approach being feasible and producing an inverse correlation between and Ki67 immunostaining. Additionally, ca. 7-day oscillations of were observed, suggesting that host immune system activation in response to treatment could contribute to the responding patterns detected.