Fig 1.
Summary of the variant-filtering pipeline.
Table 1.
Somatic mutations found in 48 patients with CLL.
Fig 2.
Diagrams for mutations observed in more than 5% of the cases.
Genes include (A) ATM, (B) TP53, (C) SF3B1, (D) KLHL6, (E) BCOR, (F) LAMB4, and (G) NOTCH1 (Transcript ID: ATM, NM_000051; TP53, NM_001126114; SF3B1, NM_024582; KLHL6, NM_130446; BCOR, NM_001123383; LAMB4, NM_007356; NOTCH1, NM_017617).
Fig 3.
Genomic landscape of the Korean patients.
(A) Frequency of gene mutations broken down by CLL stage. (B) Number of mutations according to the Binet stage. (C) Number of mutation sites in each gene that occur in more than 5% of the population.
Fig 4.
Kaplan-Meier survival curves of patients who transformed to Richter’s syndrome.
Fig 5.
Correlation between various gene mutations and between gene mutation and cytogenetics.
Correlation coefficients with raw P<0.05 were presented as colored boxes. Applying FDR correction for multiple comparison, there were no statistically significant correaltions.
Fig 6.
Kaplan-Meier survival curves according to cytogenetic abnormality.
Fig 7.
Kaplan-Meier survival curves according to abnormalities detected by FISH.
Fig 8.
Kaplan-Meier survival curves according to the number (n< 3, n≥3) of somatic mutations.
Fig 9.
Kaplan-Meier survival curves in patients with somatic mutations.
(A) TP53, (B) MYD88, and (C) ATM gene mutation or 11q22 deletion in Korean CLL. After applying multiple comparison by using FDR, only MYD88 showed a tendency for adverse prognosis (P = 0.055).
Fig 10.
Disease-free survival curves for patients with mutations.
(A) TP53 and (B) MYD88 genes After applying multiple comparison by using FDR, TP53 and MYD88 showed a tendency for shorter disease-free survival (P = 0.054, both).
Fig 11.
Hazard ratios with 95% confidence intervals for overall survival for each gene variant.
Data of gene mutations which are shown only in one patient are not shown. Raw P-values are shown in this figure. After applying FDR for multiple comparison, MYD88 mutation is the only statistically significant gene which had high hazard ratio (P = 0.045).
Fig 12.
Comparison of mutation frequencies (%) between Caucasians and Koreans.
Frequencies of mutation in Caucasian were calculated, based on the data of Landau et al. (2015) and Puente et al.(2015).