Accessory stromal and immune cells are implicated in multiple myeloma (MM) pathogenesis, although the predictive role of peculiar tumor microenvironment (TME) cells toward specific treatments has been not fully clarified. Recent computational tools allow to infer quantitative and qualitative features of TME starting from bulk transcriptomic data, enabling associations of peculiar cellular components with patients’ prognosis. The aim of this work was the development of a prognostic molecular model based on TME factors to improve risk stratification of MM patients.
A 16-gene signature reflecting tumor microenvironment predicts the risk of multiple myeloma patients treated by bortezomib-based therapies
Gargano, Grazia;Esposito, Flavia;Buono, Nicoletta Del;
2023-01-01
Abstract
Accessory stromal and immune cells are implicated in multiple myeloma (MM) pathogenesis, although the predictive role of peculiar tumor microenvironment (TME) cells toward specific treatments has been not fully clarified. Recent computational tools allow to infer quantitative and qualitative features of TME starting from bulk transcriptomic data, enabling associations of peculiar cellular components with patients’ prognosis. The aim of this work was the development of a prognostic molecular model based on TME factors to improve risk stratification of MM patients.File in questo prodotto:
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