Scientists characterize genomic profile of 84 pediatric therapy-related myeloid neoplasms

Children treated for cancer with approaches such as chemotherapy can develop therapy-related myeloid neoplasms (a second type of cancer) with a dismal prognosis. Scientists at St. Jude Children's Research Hospital have characterized the genomic abnormalities of 84 such myeloid neoplasms, with potential implications for early interventions to stop the disease. A paper detailing the work was published today in Nature Communications.

The somatic (cancer) and germline (inherited) genomic alterations that drive therapy-related myeloid neoplasms in children have not been comprehensively described, until now. The researchers used a variety of sequencing techniques (whole exome, whole genome and RNA) to characterize the genomic profile of 84 pediatric therapy-related myeloid neoplasms. The data came from patients with leukemia, solid tumors or brain tumors who were treated with different types of chemotherapy and who all later developed myeloid neoplasms.

One thing that we've known for a long time is once kids develop this secondary tumor, the outcome is really poor. The alterations that drive these tumors are different in children than they are in adults, underscoring the need to study these tumors specifically in pediatrics."

Jeffery Klco, M.D., Ph.D., Co-Corresponding Author, St. Jude Pathology

Collaboration yields new understanding

Results of the study revealed several notable mutations in the somatic setting, including changes in the Ras/MAPK pathway, alterations in RUNX1 or TP53, and rearrangements of KMT2A. Additionally, the results showed increased expression of a transcription factor called MECOM, which was associated with MECOM's abnormal proximity to an enhancer as a result of genetic rearrangements.

The research benefited from computational tools developed at St. Jude that are aimed at reducing error rates, including CleanDeepSeq and SequencErr. These approaches help to discriminate between true mutations and sequencing errors.

With these tools, the researchers could trace the mutations back as far as two years before a therapy-related myeloid neoplasm developed, when early interventions could potentially benefit patients.

"This work indicates that we can detect this type of malignancy early, to study if preventative therapies could benefit patients," said co-senior author Xiaotu Ma, Ph.D., St. Jude Computational Biology.