BACKGROUND: Fluorescence in situ hybridization (FISH) evaluation is essential for initial risk stratification in multiple myeloma (MM). While the presence of specific cytogenetic abnormalities confers a heterogeneity impact on prognosis, the cutoff values are not exactly comparable among different centers, we performed K-Adaptive Partitioning (Kaps), a novel statistical method, to development and validation of a prognostic implications of chromosome abnormalities algorithm for newly diagnosed multiple myelomaMETHODS: A total of 533 patients with newly diagnosed MM admitted to Shanghai Changzheng Hospital were enrolled. All patients underwent FISH detect cytogenetic abnormalities. The prognostic impact of cytogenetic abnormalities (CA) detected by FISH were analyzed. RESULTS: The K-Adaptive Partitioning method was used to calculate the chromosomal abnormal cut-off values as follows: 17p - 20.1%, 13q - 85%, 1q21 + 39%, t (11, 14) 55.5%, t (14,16) 87%, t (4,14) 53.5%. According to EMN criteria for CA, 17p- and 1q21 + are the independent factors affecting both OS and PFS among CA. The analysis based on the cutoff value obtained by Kaps suggests that 13q-, t(14,16) , 17p- and 1q21 + are independent factors affecting OS among CA; t(14,16) , 17p- and 1q21 + are independent factors affecting PFS among CA. Based on the survival analysis results, the prognostic model was constructed. The c-index of the prognostic model calculated by the Kaps method was 0.719 (95% CI, 0.683 to 0.756; corrected 0.707), while the c-index of the prognostic model according to the EMN criteria was 0.714 (95% CI, 0.678 to 0.751; corrected 0.696). To analyze the influence of the number of adverse CA on the prognosis, both the EMN criteria and the criteria analysis by the Kaps suggest that the more adverse CA, the OS and PFS became shorter.CONCLUSION: This study shows that chromosomal abnormalities in different proportions and combinations can affect the prognosis of multiple myeloma patients. Effective criteria should be formulated to evaluate the prognosis of MM patients better.