scholarly journals Clinical Outcome of t-AML with Respect to Genetic Abnormalities and Treatment Intensity - Single Center Analysis over the Past Two Decades

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1222-1222
Author(s):  
Monika Adamska ◽  
Ewelina Kowal-Wisniewska ◽  
Marta Baranska ◽  
Anna Przybylowicz-Chalecka ◽  
Anna Lojko-Dankowska ◽  
...  

Abstract Background: Therapy-related acute myeloid leukemia (t-AML) represents emerging challenge of the modern oncology as a life-threatening complication of cytotoxic therapy. Disease characterises poor prognosis and presence of adverse cytogenetic and genetic abnormalities. The goal of the study: Clinical outcome of t-AML patients with respect to genetic changes and treatment intensity. Patients and methods: Retrospective analysis of all consecutive AML patients treated in years 2000-2021 in one hematological center was performed. Diagnosis of t-AML was established according to WHO 2016 criteria. Overall survival (OS) and progression free survival (PFS) was defined to evaluate treatment outcomes only within t-AML patients undergoing intensive treatment (standard induction/consolidation; allogeneic cell transplantation (alloHCT) if eligible). Results: Among 743 AML patients 60 (8.1%) were diagnosed as t-AML (38 woman) with median age 57 years. Solid tumors (ST) preceded t-AML in 63.3%, hematological neoplasms (HN) in 36.7%. Majority of t-AML was preceded by breast cancer (30.0%), Hodgkin Lymphoma (11.7%), non-Hodgkin Lymphoma (10.0%) and ovarian cancer (10.0%). Median latency time for ST and HN subgroups was 5 vs 7 years respectively (P = .036). Previous cytotoxic therapy consisted of chemotherapy, radiotherapy or combination in 56.6%, 18.3% and 25.0% (autologous cell transplantation was performed in 54.5% of HN). Cytogenetic and molecular biology analysis was performed in 44 and 27 of t-AML respectively. Cytogenetic abnormalities, complex karyotype and normal karyotype occurred in 78.9%, 28.9% and 15.8% patients. KMT2A, RUNX1-RUNX1T1 and PML-RARA rearrangement was found in 21.1%, 18.4% and 7.9% of t-AML. FLT3-ITD, FLT-TKD, NPM1 and C-KIT DNA sequence variant occurred as follows: 14.8%, 7.4%, 3.7% and 3.7% correspondingly. Three pathogenic TP53 DNA sequence variants were detected in t-AML patients: c.711G>A, c.704A>G and c.989T>C (analysis performed on 20 t-AML patients). According ELN2017 genetic risk stratification patients were classified as adverse, intermediate and favorable in 51.4%, 35.1% and 13.5% respectively. Intensive treatment was implemented in 48 patients including alloHCT in 23 of them. Median OS and PFS was 15 and 8 months respectively for whole treated group. Median OS in t-AML undergoing intensive chemotherapy only vs alloHCT was 7 vs 47 months (P = .0025) with 12-year OS after alloHCT- 21.1% (Fig.1A). Among therapy-related acute promyelocytic leukemia (t-APL) patients median OS was not reached, without alloHCT. Median OS was higher for t-AML patients younger than 65 years than older ones: 20 vs 13 months respectively (P = .048) (Fig.1B). Among t-AML median OS in subgroup with adverse ELN 2017 vs intermediate and favorable ELN 2017 was 15 vs 40 months (P = .037) with 5-years OS 8.2% vs 41.0% (Fig.1C). In multivariate Cox proportional hazard regression model alloHCT was the only factor significantly influencing OS (HR = 0.16, 95% CI = 0.05-0.56, P = .004). All patients with TP53 mutations were intensively treated, one patient underwent alloHCT. 66.6% of patients had complex karyotype and any co-occuring DNA sequence variant was detected. Importantly, c.704A>G and c.989T>C TP53 DNA sequence variants were not previously described in AML according Catalogue of Somatic Mutations In Cancer database. Median OS in t-AML with TP53 mutation vs without was 4 vs 7 months (P = .398) (Fig.1D). Conslusions: Our study brings detailed analysis of clinical outcome of t-AML. Patients with t-AML undergoing intensive treatment, younger than 65 years and with t-APL have significantly higher OS rates. On the contrary t-AML patients classified as adverse genetic ELN2017 subgroup have poorer OS rates. Treatment strategy in t-AML should rely on performing alloHCT possibly soon. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

2006 ◽  
Vol 11 (9) ◽  
pp. 837-846 ◽  
Author(s):  
S G Schwab ◽  
M Knapp ◽  
P Sklar ◽  
G N Eckstein ◽  
C Sewekow ◽  
...  

2013 ◽  
Vol 35 (1) ◽  
pp. 147-148 ◽  
Author(s):  
Frans P.M. Cremers ◽  
Johan T. den Dunnen ◽  
Muhammad Ajmal ◽  
Alamdar Hussain ◽  
Markus N. Preising ◽  
...  

Genomics ◽  
2000 ◽  
Vol 70 (1) ◽  
pp. 34-40 ◽  
Author(s):  
M. Rozycka ◽  
N. Collins ◽  
M.R. Stratton ◽  
R. Wooster

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Tuomo Rankinen ◽  
Mark A Sarzynski ◽  
Barbara Sternfeld ◽  
Steve Sidney ◽  
Claude Bouchard

Sedentary behavior, usually quantified as sitting time, has been shown to be associated with several adverse health outcomes, even among individuals who meet the current recommendations for physical activity. Both twin and family studies have shown that sedentary behavior aggregates in families and is a heritable trait. However, little is known about genes and DNA sequence variants that contribute to propensity to be sedentary. The purpose of our study was to conduct a genome-wide association study to identify genomic regions and DNA sequence variants associated with sedentary time. A total of 67,530 Caucasians (56% female, mean age 62.1 years [SD 12.5]) from the Kaiser Permanente Research Program on Genes, Environment, and Health (RPGEH) cohort were used for the discovery analyses. Other RPGEH ethnicities (African-Americans: N=2,500; East Asians: N=6,300; Hispanics: N=8,800) were used for replication studies. Information on daily sitting time outside of work was obtained by a questionnaire. A custom panel of 657,184 autosomal single nucleotide polymorphisms (SNPs) was genotyped using Affymetrix platform. Associations between sedentary time (dichotomized; cases 3 hours or more, controls less than 3 hours per day) and the SNPs were tested with PLINK logistic model using age, sex, BMI and admixture principal components as covariates. The strongest evidence of association was detected on chromosome 8p23.1. A total of 24 SNPs within a 1.34 Mb region were associated with sedentary time at genome-wide significance level (p<5x10 -8 ), with SNP rs11774552 showing the peak association (OR=0.924, p= 1.7x10 -12 ). Sex-specific analyses confirmed that the associations were present both in men and women. The same SNPs were not associated with sedentary time in other ethnicities. However, SNP rs28754712, which is located in the immediate vicinity (+456 bp) of rs11774552, showed a significant association with sedentary time (OR=0.795, p=1.2x10 -3 ) in African-Americans. In summary, our results provide the first evidence of genomic region and DNA sequence variants associated with sedentary behavior in humans. If confirmed in additional replication studies, these findings will advance our understanding of biological mechanisms contributing to propensity to be sedentary.


2017 ◽  
Vol 37 (suppl_1) ◽  
Author(s):  
Derek Klarin ◽  
Aeron Small ◽  
Jie Huang ◽  
Julie Lynch ◽  
Shipra Arya ◽  
...  

Introduction: Peripheral artery disease (PAD) is thought to share atherosclerotic biologic mechanisms and traditional risk factors with coronary artery disease (CAD). Although significant progress has been made in identifying genetic contributors to CAD, genetic factors underlying PAD remain largely uncharacterized. The aim of our study was to evaluate the shared genetic architecture between PAD and CAD. Hypothesis: DNA sequence variants associated with CAD risk are also associated with PAD. Methods: We analyzed the electronic health records from 239,621 U.S. Veterans of European ancestry with available imputed genetic data from the VA Million Veteran Program. Within this cohort we identified 16,364 participants with PAD, and 67,636 with CAD. We constructed additive weighted genetic risk scores (GRS) of 57 DNA sequence variants previously associated with CAD at genome-wide significance. We standardized the GRS to have a mean of zero and standard deviation (SD) of 1, and assessed the strength of its association with PAD through logistic regression. Models were adjusted for age, sex, and 7 principal components of ancestry. In a mediation analysis, we then included CAD status in the model to examine if these genetic associations remained significant after accounting for a CAD diagnosis. Results: The CAD GRS was significantly associated with clinical CAD [OR = 1.22 per SD increase in GRS, (95%CI: 1.21 -1.23, Z-Score = 44.5, P < 2 x10 -16 )]. The CAD GRS was also significantly associated with PAD [OR = 1.12 per SD increase in GRS, (95%CI: 1.10-1.14, Z-Score = 14.5, P < 2x10 -16 )]. This magnitude of association was attenuated when further adjusting for CAD in the regression model but remained strongly significant [OR = 1.05 per SD increase in GRS, (95%CI: 1.03-1.07, Z-Score = 6.2, P = 5.6x10 -10 )]. Conclusions: In the largest single cohort of CAD and PAD cases worldwide, we found that a genetic risk score of DNA sequence variants associated with risk for CAD are also associated with risk of PAD, even after accounting for the presence of coronary atherosclerosis. These data suggest significant overlap in the mechanisms underlying development of atherosclerosis within both the peripheral and coronary arterial beds.


Sign in / Sign up

Export Citation Format

Share Document