Development of a new risk stratification system for patients with newly diagnosed multiple myeloma using R-ISS and 18F-FDG PET/CT

Abstract In multiple myeloma (MM), a high number of focal lesions (FL) detected using positron emission tomography/computed tomography (PET/CT) was found to be associated with adverse prognosis. To design a new risk stratification system that combines the Revised International Staging System (R-ISS)...

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Autores principales: Hee Jeong Cho, Sung-Hoon Jung, Jae-Cheol Jo, Yoo Jin Lee, Sang Eun Yoon, Sung-Soo Park, Do Young Kim, Ho-Jin Shin, Yeung-Chul Mun, Jun Ho Yi, Hyo Jung Kim, Da Jung Kim, Ho Sup Lee, Sung Hwa Bae, Chae Moon Hong, Shin Young Jeong, Jung-Joon Min, Sang Kyun Sohn, Chang-Ki Min, Kihyun Kim, Je-Jung Lee, Joon Ho Moon, The Korean Multiple Myeloma Working Party
Formato: article
Lenguaje:EN
Publicado: Nature Publishing Group 2021
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Acceso en línea:https://doaj.org/article/0960ae35758a464c82ae284b692a6988
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Sumario:Abstract In multiple myeloma (MM), a high number of focal lesions (FL) detected using positron emission tomography/computed tomography (PET/CT) was found to be associated with adverse prognosis. To design a new risk stratification system that combines the Revised International Staging System (R-ISS) with FL, we analyzed the data of 380 patients with newly diagnosed MM (NDMM) who underwent 18F-fluorodeoxyglucose (18F-FDG) PET/CT upon diagnosis. The K-adaptive partitioning algorithm was adopted to define subgroups with homogeneous survival. The combined R-ISS with PET/CT classified NDMM patients into four groups: R-ISS/PET stage I (n = 31; R-ISS I with FL ≤ 3), stage II (n = 156; R-ISS I with FL > 3 and R-ISS II with FL ≤ 3), stage III (n = 162; R-ISS II with FL > 3 and R-ISS III with FL ≤ 3), and stage IV (n = 31; R-ISS III with FL > 3). The 2-year overall survival rates for stages I, II, III, and IV were 96.7%, 89.8%, 74.7%, and 50.3%. The 2-year progression-free survival rates were 84.1%, 64.7%, 40.8%, and 17.1%, respectively. The new R-ISS/PET was successfully validated in an external cohort. This new system had a remarkable prognostic power for estimating the survival outcomes of patients with NDMM. This system helps discriminate patients with a good prognosis from those with a poor prognosis more precisely.