Testing of rapid evaporative mass spectrometry for histological tissue classification and molecular diagnostics in a multi-site study
Menée à partir d'échantillons tissulaires prélevés sur des patientes atteintes d'un cancer du sein, cette étude évalue la possibilité d'utiliser la spectrométrie de masse par ionisation et évaporation rapide pour identifier des tumeurs mammaires et des sous-types tumoraux
Background : While REIMS technology has successfully been demonstrated for the histological identification of ex-vivo breast tumor tissues, questions regarding the robustness of the approach and the possibility of tumor molecular diagnostics still remain unanswered. In the current study, we set out to determine whether it is possible to acquire cross-comparable REIMS datasets at multiple sites for the identification of breast tumors and subtypes.
Methods : A consortium of four sites with three of them having access to fresh surgical tissue samples performed tissue analysis using identical REIMS setups and protocols. Overall, 21 breast cancer specimens containing pathology-validated tumor and adipose tissues were analyzed and results were compared using uni- and multivariate statistics on normal, WT and PIK3CA mutant ductal carcinomas.
Results : Statistical analysis of data from standards showed significant differences between sites and individual users. However, the multivariate classification models created from breast cancer data elicited 97.1% and 98.6% correct classification for leave-one-site-out and leave-one-patient-out cross validation. Molecular subtypes represented by PIK3CA mutation gave consistent results across sites.
Conclusions : The results clearly demonstrate the feasibility of creating and using global classification models for a REIMS-based margin assessment tool, supporting the clinical translatability of the approach.
British Journal of Cancer , article en libre accès, 2024