EN | TR
E-ISSN: 3061-9947
The Relationship Between Acute Myeloid Leukemia and Obesity
PDF
Cite
Share
Request
Original Article
VOLUME: 54 ISSUE: 1
P: 92-97
2021

The Relationship Between Acute Myeloid Leukemia and Obesity

Acta Haematol Oncol Turc 2021;54(1):92-97
DOI: 10.5505/aot.2021.19970
Semih Başcı 1
Samet Yaman 1
Esra Durmuşoğlu 2
Tuğçe Nur Yiğenoğlu 1
Bahar Uncu Ulu 1
Mehmet Bakırtaş 1
Derya Şahin 1
Tahir Darçın 1
Hikmettullah Batgi 1
Mehmet Sinan Dal 1
Merih Kızıl Çakar 1
Fevzi Altuntaş 1
1. Department of Hematology and Bone Marrow Transplantation Center, University of Health Sciences Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital, Ankara, Turkey
2. Department of Internal Medicine, University of Health Sciences Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Ankara, Turkey
3.
No information available.
No information available
Received Date: 2020-07-25T08:59:48
Accepted Date: 2021-04-07T09:25:03
PDF
Cite
Share
Request

Abstract

INTRODUCTION

Leukemia is a cancer caused by immature myeloid cells. Acute myeloid leukemia (AML) is the most common acute leukemia in adults. Although AML has been known for decades, its etiology has not been largely elucidated. Obesity is a risk factor for various cancers, including leukemia. The relationship between AML and obesity has been investigated for a long time. There is strong evidence for the relationship between acute promyelocytic leukemia (APL) and obesity. In this study, we aimed to evaluate the frequency of obesity and its effect on survival in AML and APL.

METHODS

The study included 119 AML patients who were diagnosed in our center between January 2012 and June 2020, who had follow-ups and whose body mass index (BMI) information was available before treatment.

RESULTS

The median age was 44 (19-87) in all patients. While body mass index was 23 kg / m2 (16.5-48.9 kg / m2) in APL patients, 24.4 kg / m2 (15.6-37.8 kg / m2) was observed in non-APL patients, the two groups were similar (p = 0.9). Median survival was monitored for 63 months (95% CI, 0-141.7) in non-APL patients, median survival was not affected by BMI groups (p = 0.8). In the APL group, the median survival could not be reached, and the median survival did not differ between the BMI groups (p = 0.8). When demographic data as the predictors of obesity (BMI≥30kg / m2) were evaluated by age, gender and disease type (APL-non-APL), univariate regression analysis was the only factor that had an effect on obesity (p = 0.001).

DISCUSSION AND CONCLUSION

In our study, the effect of obesity was not observed in AML and APL, and only the relationship between age and obesity was observed. More research is needed to confirm these findings and to understand the biological causes behind them.