Objective:To explore the value of multi-gene copy number variation (CNV) analysis in the clinical prognostic prediction of patients with multiple myeloma (MM).Methods:A retrospective case series study was conducted. The clinical data of 79 MM patients who were admitted to the Affiliated Cancer Hospital of Zhengzhou University from June 2016 to March 2023 were collected. The whole-genome CNV status was obtained by using whole-genome low depth sequencing (sWGS) of bone marrow blood cells. The outcomes of remission, minimal residual disease (MRD) turning negative, progression-free survival (PFS) and overall survival (OS) in patients with and without CNV were compared. The Cox proportional hazards model was used to analyze the influencing factors of PFS and OS.Results:Among the 79 patients with MM, 43 were males and 36 were females. The median age [ M ( Q1, Q3)] was 65 years old (55 years old, 71 years old). In the revised international staging system, there were 20, 51 and 8 cases in stage Ⅰ, Ⅱ and Ⅲ, respectively. The results of fluorescence in situ hybridization (FISH) were abnormal in 17 cases. CNV was detected in 55 patients (69.6%), and the abnormality of chromosome 1q (27 cases, 49.1%) was the most frequently detected, followed by the abnormality of chromosome 13 (26 cases, 47.3%), chromosome 6 (22 cases, 40.0%), chromosome 11 (19 cases, 34.5%), chromosome 8 (18 cases, 32.7%), chromosome 14 (14 cases, 25.5%), and chromosome 17 (11 cases, 20.0%). The ≥ very good partial remission rate in the detected CNV group was lower than that in the undetected CNV group [29.1% (16/55) vs. 45.8% (11/24)], but the difference was not statistically significant ( χ2 = 2.08, P = 0.149). The MRD negative conversion rate of detected CNV group was lower than that of undetected CNV group [21.8% (12/55) vs. 58.3% (14/24)], and the difference was statistically significant ( χ2 = 10.09, P = 0.001). Survival analysis showed that PFS in the detected CNV group was worse than in the undetected CNV group [median PFS time: 36.7 months (95% CI: 6.1-67.4 months) vs. not reached], and the difference between the two groups was statistically significant ( χ2 = 6.61, P = 0.010), while the difference in OS between the two groups was not statistically significant ( χ2 = 1.84, P = 0.175). There was no significant difference in PFS and OS between patients with 1 and ≥2 abnormal copy sequences (both P > 0.05). PFS of patients with CNV on chromosomes 1q, 17, 8, 11 and 13 was worse than that of patients without CNV at these sites (all P < 0.05), while there was no statistical difference in OS (all P > 0.05). Results of univariate analysis showed that lactate dehydrogenase (LDH) level was correlated with PFS and OS of patients (both P < 0.05), and CNV was correlated with PFS of patients (P = 0.010). Results of multivariate analysis showed that LDH > 250 U/L was an independent factor for poor PFS and OS of patients ( HR = 0.135, 95% CI: 0.019-0.983, P = 0.048; HR = 0.132, 95% CI: 0.018-0.951, P = 0.045). Conclusions:Multi-gene CNV analysis can assist in predicting the prognosis of MM patients, and it is more sensitive than traditional CNV detection methods such as FISH. Patients with CNV on chromosomes 1q, 17, 8, 11, and 13 have poor prognosis.

Objective:To explore the value of multi-gene copy number variation (CNV) analysis in the clinical prognostic prediction of patients with multiple myeloma (MM).Methods:A retrospective case series study was conducted. The clinical data of 79 MM patients who were admitted to the Affiliated Cancer Hospital of Zhengzhou University from June 2016 to March 2023 were collected. The whole-genome CNV status was obtained by using whole-genome low depth sequencing (sWGS) of bone marrow blood cells. The outcomes of remission, minimal residual disease (MRD) turning negative, progression-free survival (PFS) and overall survival (OS) in patients with and without CNV were compared. The Cox proportional hazards model was used to analyze the influencing factors of PFS and OS.Results:Among the 79 patients with MM, 43 were males and 36 were females. The median age [ M ( Q1, Q3)] was 65 years old (55 years old, 71 years old). In the revised international staging system, there were 20, 51 and 8 cases in stage Ⅰ, Ⅱ and Ⅲ, respectively. The results of fluorescence in situ hybridization (FISH) were abnormal in 17 cases. CNV was detected in 55 patients (69.6%), and the abnormality of chromosome 1q (27 cases, 49.1%) was the most frequently detected, followed by the abnormality of chromosome 13 (26 cases, 47.3%), chromosome 6 (22 cases, 40.0%), chromosome 11 (19 cases, 34.5%), chromosome 8 (18 cases, 32.7%), chromosome 14 (14 cases, 25.5%), and chromosome 17 (11 cases, 20.0%). The ≥ very good partial remission rate in the detected CNV group was lower than that in the undetected CNV group [29.1% (16/55) vs. 45.8% (11/24)], but the difference was not statistically significant ( χ2 = 2.08, P = 0.149). The MRD negative conversion rate of detected CNV group was lower than that of undetected CNV group [21.8% (12/55) vs. 58.3% (14/24)], and the difference was statistically significant ( χ2 = 10.09, P = 0.001). Survival analysis showed that PFS in the detected CNV group was worse than in the undetected CNV group [median PFS time: 36.7 months (95% CI: 6.1-67.4 months) vs. not reached], and the difference between the two groups was statistically significant ( χ2 = 6.61, P = 0.010), while the difference in OS between the two groups was not statistically significant ( χ2 = 1.84, P = 0.175). There was no significant difference in PFS and OS between patients with 1 and ≥2 abnormal copy sequences (both P > 0.05). PFS of patients with CNV on chromosomes 1q, 17, 8, 11 and 13 was worse than that of patients without CNV at these sites (all P < 0.05), while there was no statistical difference in OS (all P > 0.05). Results of univariate analysis showed that lactate dehydrogenase (LDH) level was correlated with PFS and OS of patients (both P < 0.05), and CNV was correlated with PFS of patients (P = 0.010). Results of multivariate analysis showed that LDH > 250 U/L was an independent factor for poor PFS and OS of patients ( HR = 0.135, 95% CI: 0.019-0.983, P = 0.048; HR = 0.132, 95% CI: 0.018-0.951, P = 0.045). Conclusions:Multi-gene CNV analysis can assist in predicting the prognosis of MM patients, and it is more sensitive than traditional CNV detection methods such as FISH. Patients with CNV on chromosomes 1q, 17, 8, 11, and 13 have poor prognosis.