Chien-Chin Lin

Integration of cytogenetic and molecular alterations in risk stratification of 318 patients with de novo non-M3 acute myeloid leukemia

Conventionally, acute myeloid leukemia (AML) patients are categorized into good-, intermediate- and poor-risk groups according to cytogenetic changes. However, patients with intermediate-risk cytogenetics represent a largely heterogeneous population regarding treatment response and clinical outcome. In this study, we integrated cytogenetics and molecular mutations in the analysis of 318 patients with de novo non-M3 AML who received standard chemotherapy. According to the mutation status of eight genes, including NPM1, CEBPA, IDH2, RUNX1, WT1, ASXL1, DNMT3A and FLT3, that had prognostic significance, 229 patients with intermediate-risk cytogenetics could be refinedly stratified into three groups with distinct prognosis (P<0.001); patients with good-risk genotypes had a favorable outcome (overall survival, OS, not reached) similar to those with good-risk cytogenetics, whereas those with poor-risk genotypes had an unfavorable prognosis (OS, 10 months) similar to those with poor-risk cytogenetics (OS, 13.5 months), and the remaining patients with other genotypes had an intermediate outcome (OS, 25 months). Integration of cytogenetic and molecular profiling could thus reduce the number of intermediate-risk AML patients from around three-fourth to one-fourth. In conclusion, integration of cytogenetic and molecular changes improves the prognostic stratification of AML patients, especially those with intermediate-risk cytogenetics, and may lead to better decision on therapeutic strategy.

Clinical implications of the SETBP1 mutation in patients with primary myelodysplastic syndrome and its stability during disease progression

Mutations of the SET binding protein 1 (SETBP1) gene have been identified in patients with myeloid neoplasms, but the clinical relevance of this mutation and its association with other gene mutations in myelodysplastic syndrome (MDS) and the stability during disease progression remains unclear. Mutations in SETBP1 gene at exon 4 were analyzed by polymerase chain reaction and direct sequencing in 430 MDS patients. The results were correlated with clinical features, cytogenetics, gene mutations and treatment outcomes. SETBP1 mutations were identified in 14 (3.3%) of the 430 patients with primary MDS based on the FAB classification and 8 (2.4%) of the 333 patients based on the WHO classification. The SETBP1 mutation was closely associated with higher white blood cell counts, isochromosome of 17q, monosomy 7, and mutations of ASXL1, EZH2 and SRSF2. With a median follow‐up of 43.9 months, MDS patients, based on either the FAB or WHO classification, had a significantly poorer overall survival (OS) if they harbored SETBP1 mutation. Further, SETBP1 mutation was an independent poor prognostic factor for OS (HR = 1.842, CI 95%, 1.1018–3.332, P = 0.043) irrespective of age, sex, and the International Prognostic Scoring System. Sequential analysis showed that the original SETBP1 mutations in the eight SETBP1‐mutated patients studied were retained while two of the 101 SETBP1‐wild patients acquired novel SETBP1 mutations during follow‐ups. The SETBP1 mutation is associated with poor prognosis in MDS. The mutation can be acquired during the clinical course suggesting it may play a role in disease progression. Am. J. Hematol. 89:181–186, 2014.

IDH mutations are closely associated with mutations of DNMT3A, ASXL1 and SRSF2 in patients with myelodysplastic syndromes and are stable during disease evolution

Current information about clinical significance of IDH mutations in myelodysplastic syndromes (MDS), their association with other genetic alterations and the stability during disease progression is limited. In this study, IDH mutations were identified in 4.6% of 477 patients with MDS based on the FAB classification and in 2.2 % of 368 patients based on the 2008 WHO classification. IDH mutations were closely associated with older age, higher platelet counts, and mutations of DNMT3A (36.4% vs. 8.7%, P < 0.001), ASXL1 (47.6% vs. 22.0%, P = 0.007), and SRSF2 (45.5% vs. 11.8%, P < 0.001). IDH2 mutation was a poor prognostic factor for overall survival in patients with lower‐risk MDS, based on international prognosis scoring system (IPSS), FAB classification, WHO classification, or revised IPSS (all P ≦ 0.001), but not in higher‐risk groups. Sequential studies in 151 patients demonstrated that all IDH‐mutated patients retained the same mutation during disease evolution while none of the IDH‐wild patients acquired a novel mutation during follow‐ups. In conclusion, IDH mutation is a useful biomarker for risk stratification of patients with lower‐risk MDS. IDH mutations are stable during the clinical course. The mutation, in association with other genetic alterations, may play a role in the development, but not progression of MDS.Am. J. Hematol. 89:137–144, 2014.

Genetic alterations and their clinical implications in older patients with acute myeloid leukemia

A number of patient-specific and leukemia-associated factors are related to the poor outcome in older patients with acute myeloid leukemia (AML). However, comprehensive studies regarding the impact of genetic alterations in this group of patients are limited. In this study, we compared relevant mutations in 21 genes between AML patients aged 60 years or older and those younger and exposed their prognostic implications. Compared with the younger patients, the elderly had significantly higher incidences of PTPN11, NPM1, RUNX1, ASXL1, TET2, DNMT3A and TP53 mutations but a lower frequency of WT1 mutations. The older patients more frequently harbored one or more adverse genetic alterations. Multivariate analysis showed that DNMT3A and TP53 mutations were independent poor prognostic factors among the elderly, while NPM1 mutation in the absence of FLT3/ITD was an independent favorable prognostic factor. Furthermore, the status of mutations could well stratify older patients with intermediate-risk cytogenetics into three risk groups. In conclusion, older AML patients showed distinct genetic alterations from the younger group. Integration of cytogenetics and molecular mutations can better risk-stratify older AML patients. Development of novel therapies is needed to improve the outcome of older patients with poor prognosis under current treatment modalities.

Splicing factor mutations predict poor prognosis in patients with de novo acute myeloid leukemia.

Mutations in splicing factor (SF) genes are frequently detected in myelodysplastic syndrome, but the prognostic relevance of these genes mutations in acute myeloid leukemia (AML) remains unclear. In this study, we investigated mutations of three SF genes, SF3B1, U2AF1 and SRSF2, by Sanger sequencing in 500 patients with de novo AML and analysed their clinical relevance. SF mutations were identified in 10.8% of total cohort and 13.2% of those with intermediate-risk cytogenetics. SF mutations were closely associated with RUNX1, ASXL1, IDH2 and TET2 mutations. SF-mutated AML patients had a significantly lower complete remission rate and shorter disease-free survival (DFS) and overall survival (OS) than those without the mutation. Multivariate analysis demonstrated that SFmutation was an independent poor prognostic factor for DFS and OS. A scoring system incorporating SF mutation and ten other prognostic factors was proved very useful to risk-stratify AML patients. Sequential study of paired samples showed that SF mutations were stable during AML evolution. In conclusion, SF mutations are associated with distinct clinic-biological features and poor prognosis in de novo AML patients and are rather stable during disease progression. These mutations may be potential targets for novel treatment and biomarkers for disease monitoring in AML.

SF3B1 mutations in patients with myelodysplastic syndromes: The mutation is stable during disease evolution

The SF3B1 mutation can be detected in patients with myelodysplastic syndrome (MDS), but the report regarding the association of this mutation with other genetic alterations and its stability during disease progression is limited. In this study, SF3B1 mutations were identified in 10% of total cohort of 479 MDS patients and 61.8% of 34 patients with refractory anemia with ring sideroblasts (RARS). SF3B1 mutations were closely associated with older age, higher platelet counts, lower lactate dehydrogenase levels, good‐risk cytogenetics, and mutations of DNMT3A, but inversely related to ASXL1 mutations. Most SF3B1‐mutated patients had concurrent other genetic alterations, including DNMT3A and RUNX1 mutations. There was no prognostic difference between patients with SF3B1 mutations and those without. Sequential studies in 417 samples from 142 patients demonstrated that all SF3B1‐mutated patients retained the same mutations during disease evolution with the exception of two patients who lost the mutation after allogeneic hematopoietic stem cell transplantation, whereas none of the SF3B1‐wild patients acquired a novel mutation during clinical follow‐ups. In conclusion, the patients with SF3B1 mutations had distinct clinic‐biologic features. SF3B1 mutations, accompanied with other genetic alterations, especially DNMT3A mutations, may play a role in the development of MDS, but have little role in disease progression. Am. J. Hematol. 89:E109–E115, 2014.

Incorporation of mutations in five genes in the revised International Prognostic Scoring System can improve risk stratification in the patients with myelodysplastic syndrome

Gene mutations have not yet been included in the 2016 WHO classification and revised International Prognostic Scoring System (IPSS-R), which are now widely utilized to discriminate myelodysplastic syndrome (MDS) patients regarding risk of leukemia evolution and overall survival (OS). In this study, we aimed to investigate whether integration of gene mutations with other risk factors could further improve the stratification of MDS patients. Mutational analyses of 25 genes relevant to myeloid malignancies in 426 primary MDS patients showed that mutations of CBL, IDH2, ASXL1, DNMT3A, and TP53 were independently associated with shorter survival. Patients within each IPSS-R or 2016 WHO classification-defined risk group could be stratified into two risk subgroups based on the mutational status of these five genes; patients with these poor-risk mutations had an OS shorter than others in the same risk group, but similar to those with the next higher risk category. A scoring system incorporating age, IPSS-R and five poor-risk mutations could divide the MDS patients into four risk groups (P < 0.001 for both OS and leukemia-free survival). In conclusion, integration of gene mutations in current IPSS-R improves the prognostication of MDS patients and may help identify high-risk patients for more aggressive treatment in IPSS-R lower risk group.

Distinct mutation profile and prognostic relevance in patients with hypoplastic myelodysplastic syndromes (h-MDS)

Myelodysplastic syndromes (MDS) are a heterogeneous group of hematologic malignancies. Although most MDS patients have normal or increased BM cellularity (NH-MDS), some have hypocellular BM (h-MDS). The reports concerning the differences in genetic alterations between h-MDS and NH-MDS patients are limited. In this study, 369 MDS patients diagnosed according to the WHO 2008 criteria were recruited. h-MDS patients had lower PB white blood cell and blast counts, and lower BM blast percentages, than those with NH-MDS. h-MDS was closely associated with lower-risk MDS, defined by the International Prognostic Scoring System (IPSS) and revised IPSS (IPSS-R). IPSS-R could properly predict the prognosis in h-MDS (P<0.001) as in NH-MDS patients. The h-MDS patients had lower incidences of RUNX1, ASXL1, DNMT3A, EZH2 and TP53 mutations than NH-MDS patients. The cumulated incidence of acute leukemic transformation at 5 years was 19.3% for h-MDS and 40.4% for NH-MDS patients (P= 0.001). Further, the patients with h-MDS had longer overall survival (OS) than those with NH-MDS (P= 0.001), and BM hypocellularity remains an independent favorable prognostic factor for OS irrespective of age, IPSS-R, and gene mutations. Our findings provide evidence that h-MDS indeed represent a distinct clinico-biological subgroup of MDS and can predict better leukemia-free survival and OS.

Mayo Alliance Prognostic Model for Myelodysplastic Syndromes: Integration of Genetic and Clinical Information

Objective: To develop a new risk model for primary myelodysplastic syndromes (MDS) that integrates information on mutations, karyotype, and clinical variables. Patients and Methods: Patients with World Health Organization–defined primary MDS seen at Mayo Clinic (MC) from December 28, 1994, through December 19, 2017, constituted the core study group. The National Taiwan University Hospital (NTUH) provided the validation cohort. Model performance, compared with the revised International Prognostic Scoring System, was assessed by Akaike information criterion and area under the curve estimates. Results: The study group consisted of 685 molecularly annotated patients from MC (357) and NTUH (328). Multivariate analysis of the MC cohort identified monosomal karyotype (hazard ratio [HR], 5.2; 95% CI, 3.1‐8.6), “non‐MK abnormalities other than single/double del(5q)” (HR, 1.8; 95% CI, 1.3‐2.6), RUNX1 (HR, 2.0; 95% CI, 1.2‐3.1) and ASXL1 (HR, 1.7; 95% CI, 1.2‐2.3) mutations, absence of SF3B1 mutations (HR, 1.6; 95% CI, 1.1‐2.4), age greater than 70 years (HR, 2.2; 95% CI, 1.6‐3.1), hemoglobin level less than 8 g/dL in women or less than 9 g/dL in men (HR, 2.3; 95% CI, 1.7‐3.1), platelet count less than 75 × 109/L (HR, 1.5; 95% CI, 1.1‐2.1), and 10% or more bone marrow blasts (HR, 1.7; 95% CI, 1.1‐2.8) as predictors of inferior overall survival. Based on HR‐weighted risk scores, a 4‐tiered Mayo alliance prognostic model for MDS was devised: low (89 patients), intermediate‐1 (104), intermediate‐2 (95), and high (69); respective median survivals (5‐year overall survival rates) were 85 (73%), 42 (34%), 22 (7%), and 9 months (0%). The Mayo alliance model was subsequently validated by using the external NTUH cohort and, compared with the revised International Prognostic Scoring System, displayed favorable Akaike information criterion (1865 vs 1943) and area under the curve (0.87 vs 0.76) values. Conclusion: We propose a simple and contemporary risk model for MDS that is based on a limited set of genetic and clinical variables.

Higher HOPX expression is associated with distinct clinical and biological features and predicts poor prognosis in de novo acute myeloid leukemia

Homeodomain-only protein homeobox (HOPX) is the smallest homeodomain protein. It was regarded as a stem cell marker in several non-hematopoietic systems. While the prototypic homeobox genes such as the HOX family have been well characterized in acute myeloid leukemia (AML), the clinical and biological implications of HOPX in the disease remain unknown. Thus we analyzed HOPX and global gene expression patterns in 347 newly diagnosed de novo AML patients in our institute. We found that higher HOPX expression was closely associated with older age, higher platelet counts, lower white blood cell counts, lower lactate dehydrogenase levels, and mutations in RUNX1, IDH2, ASXL1, and DNMT3A, but negatively associated with acute promyelocytic leukemia, favorable karyotypes, CEBPA double mutations and NPM1 mutation. Patients with higher HOPX expression had a lower complete remission rate and shorter survival. The finding was validated in two independent cohorts. Multivariate analysis revealed that higher HOPX expression was an independent unfavorable prognostic factor irrespective of other known prognostic parameters and gene signatures derived from multiple cohorts. Gene set enrichment analysis showed higher HOPX expression was associated with both hematopoietic and leukemia stem cell signatures. While HOPX and HOX family genes showed concordant expression patterns in normal hematopoietic stem/progenitor cells, their expression patterns and associated clinical and biological features were distinctive in AML settings, demonstrating HOPX to be a unique homeobox gene. Therefore, HOPX is a distinctive homeobox gene with characteristic clinical and biological implications and its expression is a powerful predictor of prognosis in AML patients.