Molecular association with elevated LDH levels in patients with AML

O Oudai Alkabbani (1Mayo Clinic, Rochester, United States) Y Yazan Jabban (1Mayo Clinic, Rochester, United States) R Rong He D David Viswanatha (1Mayo Clinic, Rochester, United States) K Kurt Bessonen (1Mayo Clinic, Rochester, United States) P Patricia Greipp (1Mayo Clinic, Rochester, United States) D Dragan Jevremovic (1Mayo Clinic, Rochester, United States) A Antoine Saliba (1Mayo Clinic, Rochester, United States) M Mehrdad Hefazi Torghabeh (2Mayo Clinic, T Cell Engineering Laboratory, Rochester, United States) A Aasiya Matin (1Mayo Clinic, Rochester, United States) W William Hogan (1Mayo Clinic, Division of Hematology, Department of Medicine, Rochester, United States) A Abhishek Mangaonkar (1Mayo Clinic, Rochester, United States) H Hassan Alkhateeb (1Mayo Clinic, Rochester, United States) M Mrinal Patnaik (5Mayo Clinic, Rochester, United States) M Mithun Shah (1Mayo Clinic, Division of Hematology, Department of Medicine, Rochester, United States) K Kebede Begna (1Mayo Clinic, Rochester, United States) A Aref Al-Kali (1Mayo Clinic, Division of Hematology, Department of Medicine, Rochester, United States)

Abstract

Abstract Prognosis in acute myeloid leukemia (AML) patients is influenced by various factors, most importantly, patient clinical status and cytogenetic/molecular abnormalities. Within those factors, elevated lactate dehydrogenase (LDH) is considered a poor prognostic indicator in AML patients. Our study aims at exploring the different factors associated with elevated LDH and their impact on overall survival (OS). After obtaining IRB approval, we reviewed the charts of 381 AML patients diagnosed at Mayo Clinic, Rochester, between the years of 2016 and 2023. All data was recorded at the time of AML diagnosis. Patients with no cytogenetic and molecular data were excluded from this study. LDH levels were recorded if measured within 10 days of diagnosis and treatment for AML was not yet given. Both risk stratification and response evaluation were done following the 2022 European LeukemiaNet (ELN) guidelines. OS was calculated from the date of AML diagnosis to the date of last follow-up or death. We used BlueSky Statistics V 10.3.4 for statistical analysis. We identified 299 patients (78.4%) who had elevated LDH levels (normal ≤ 222 U/L) at the time of diagnosis with a median of 417 U/L (range, 223-7989). The median age for those patients was 68 years (range, 18-94), with 78 (26.1%) of them having a prior myeloid disease (MDS, MPN, or MDS/MPN) before AML diagnosis. By risk stratification, more than half of the patients had an adverse risk profile (n=171, 57.2%), while 71 (23.7%) and 57 (19.1%) had an intermediate and favorable risk, respectively. Most of those patients had an abnormal karyotype (n=204, 68.7%), with complex karyotype (n=103, 34.7%) being the most common abnormality, followed by monosomy 7 (n=50, 16.8%) and trisomy 8 (n=46, 15.5%). Next-generation sequencing (NGS) was performed on 268 (89.6%) patients with elevated LDH, and the most common mutations were TP53 (n=60, 22.3%), FLT3-ITD (n=59, 21.1%), and NPM1 (n=51, 18.5%). TP53 mutations were more common in patients with normal/low white blood cell count (WBC) in contrast with FLT3 and NPM1, which were the most common mutations in patients with high WBC. After grouping the patients according to their LDH levels (group 1: 223-444 U/L, group 2: 444-666 U/L, group 3: > 666 U/L), we found that FLT3-ITD mutations were more likely to occur at higher LDH levels i.e. groups 2 and 3 (p= 0.002). The majority of patients with elevated LDH (n=262, 87.6%) received therapy following diagnosis, with the most common treatment regimens being a combination of a hypomethylating agent and venetoclax (HMA+VEN) (n=97, 37%) and a (7+3)-based induction therapy (n=77, 29.4%). When comparing patients with elevated LDH (n=299, 78.4%) to patients who had non-elevated LDH (n=82, 21.5%), no difference in both median age at diagnosis and risk stratification was found. We noticed an increase in WBC (median, 7.7 vs. 2.1) (p<0.001) along with an increase in peripheral blasts (median, 28% vs. 7%) (p<0.001) in elevated LDH patients. Among patients with non-elevated LDH, 21% (n=17) had a complex karyotype compared to 34.7% (n=103) in the elevated LDH group (p=0.022). The molecular profile was different between the 2 groups, where the most common mutations in patients with non-elevated LDH were IDH2 (n=19, 25.3%), RUNX1 (n=17, 23%), and DNMT3A (n=16, 21.6%). All patients (n=82, 100%) in the non-elevated LDH group received therapy after diagnosis. There was no difference in terms of treatment regimens used between the 2 groups. Moreover, no statistical difference in remission rates after one line of therapy was found between those groups where non-elevated LDH patients had a 65.9% remission rate compared to the 55.3% remission rate in patients with elevated LDH (p=0.098). Patients with elevated LDH had a shorter OS than patients with non-elevated LDH (9.5 vs. 26.4 months, p=0.0008). However, median OS was similar across the different groups of elevated LDH. Using univariate analysis in our cohort (n=381), age, HSCT, risk stratification, FLT3 mutation, and LDH elevation all had an impact on OS. However, when comparing those variables using multivariate analysis, age and FLT3 mutation lost their significance (p-value of 0.25 and 0.84, respectively).Complex karyotype and FLT3 mutations were more common in patients with elevated LDH. These patients tend to have higher WBC and peripheral blasts. Elevated LDH had a negative impact on patients' OS regardless of patients' risk classification.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 7039-7039
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (17)

O

Oudai Alkabbani

1Mayo Clinic, Rochester, United States

Y

Yazan Jabban

1Mayo Clinic, Rochester, United States

R

Rong He

D

David Viswanatha

1Mayo Clinic, Rochester, United States

K

Kurt Bessonen

1Mayo Clinic, Rochester, United States

P

Patricia Greipp

1Mayo Clinic, Rochester, United States

D

Dragan Jevremovic

1Mayo Clinic, Rochester, United States

A

Antoine Saliba

1Mayo Clinic, Rochester, United States

M

Mehrdad Hefazi Torghabeh

2Mayo Clinic, T Cell Engineering Laboratory, Rochester, United States

A

Aasiya Matin

1Mayo Clinic, Rochester, United States

W

William Hogan

1Mayo Clinic, Division of Hematology, Department of Medicine, Rochester, United States

A

Abhishek Mangaonkar

1Mayo Clinic, Rochester, United States

H

Hassan Alkhateeb

1Mayo Clinic, Rochester, United States

M

Mrinal Patnaik

5Mayo Clinic, Rochester, United States

M

Mithun Shah

1Mayo Clinic, Division of Hematology, Department of Medicine, Rochester, United States

K

Kebede Begna

1Mayo Clinic, Rochester, United States

A

Aref Al-Kali

1Mayo Clinic, Division of Hematology, Department of Medicine, Rochester, United States