Genomic Biomarkers to Predict Resistance to Hypomethylating Agents in Patients With Myelodysplastic Syndromes Using Artificial Intelligence

Journal Name
JCO Precision Oncology
Primary Author
Nazha A
Author(s)
Nazha A, Sekeres MA, Bejar R, Rauh MJ, Othus M, Komrokji RS, Barnard J, Hilton CB, Kerr CM, Steensma DP, DeZern A, Roboz G, Garcia-Manero G, Erba H, Ebert BL, Maciejewski JP
Original Publication Date

PURPOSE:

We developed an unbiased framework to study the association of several mutations in predicting resistance to hypomethylating agents (HMAs) in patients with myelodysplastic syndromes: (my-eh-lo-diss-PLASS-tik SIN-dromez) A group of disorders where the bone marrow does not work well, and the bone marrow cells fail to make enough healthy blood cells. Myelo refers to the bone marrow. Dysplastic means abnormal growth or development. People with MDS have low blood cell count for at… (MDS), analogous to consumer and commercial recommender systems in which customers who bought products A and B are likely to buy C: patients who have a mutation: Any change or alteration in a gene. A mutation may cause disease or may be a normal variation. Paroxysmal nocturnal hemoglobinuria (PNH) occurs because of a mutation in the PIG-A gene of a single stem cell in the bone marrow. in gene A and gene B are likely to respond or not respond to HMAs.

METHODS:

We screened a cohort of 433 patients with MDS who received HMAs for the presence of common myeloid mutations in 29 genes that were obtained before the patients started therapy. The association between mutations and response was evaluated by the Apriori market basket analysis algorithm. Rules with the highest confidence (confidence that the association exists) and the highest lift (strength of the association) were chosen. We validated our biomarkers in samples from patients enrolled in the S1117 trial.

RESULTS:

Among 433 patients, 193 (45%) received azacitidine: It works by reducing the amount of methylation in the body. Methylation is a process that acts like a switch to turn off or “silence” genes in certain cells. When these genes (called tumor suppressor genes) are turned off, MDS cells and cancer cells can grow freely. Azacitidine is approved by the U… , 176 (40%) received decitabine: It works by reducing the amount of methylation in the body. Methylation is a process that acts like a switch to turn off or “silence” genes in certain cells. When these genes (called tumor suppressor genes) are turned off, MDS cells and cancer cells can grow freely. Decitabine is approved by the U… , and 64 (15%) received HMA alone or in combination. The median age was 70 years (range, 31 to 100 years), and 28% were female. The median number of mutations per sample was three (range, zero to nine), and 176 patients (41%) had three or more mutations per sample. Association rules identified several genomic combinations as being highly associated with no response. These molecular signatures were present in 30% of patients with three or more mutations/sample with an accuracy rate of 87% in the training cohort and 93% in the validation cohort.

CONCLUSION:

Genomic biomarkers can identify, with high accuracy, approximately one third of patients with MDS who will not respond to HMAs. This study highlights the importance of machine learning technologies such as the recommender system algorithm in translating genomic data into useful clinical tools.

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