Back

Role of Chromosomal Microarray and RNA Fusion Analysis in Detecting KMT2A Partial Tandem Duplication with High Mortality in Myeloid Neoplasms: Retrospective Study

Shah, B. A.; Pei, J.; Abdelmessieh, P.; Francis, R.; Mackrides, N.; Wasik, M.; Nejati, R.

2025-05-28 hematology
10.1101/2025.05.27.25328455 medRxiv
Show abstract

KMT2A partial tandem duplication (KMT2A-PTD) is a recurrent, high-risk alteration in myeloid neoplasms, yet no gold standard exists for its detection due to complex genomic architecture. We conducted a retrospective study of 97 specimens from 17 patients with KMT2A-PTD-positive myeloid neoplasms (11 AML, 4 MDS, 2 MPN) to compare chromosomal microarray analysis (CMA) and RNA fusion testing. Overall concordance was 73.3% ({kappa} = 0.467), with RNA fusion identifying more cryptic KMT2A-PTDs (p = 0.035), while CMA detected non-canonical KMT2A-PTDs and, additionally, secondary genomic abnormalities (e.g., trisomy 8 and CN-LOH of diverse genes). KMT2A-PTD cases exhibited high clonal complexity and distinct mutational profiles, including mutations of DNMT3A, TET2, ASXL1, RUNX1, FLT3, and others. Higher KMT2A-PTD transcript expression (split reads and SR/C ratio) correlated with DNMT3A, RUNX1, and FLT3 mutations, and RUNX1T1 copy number gain (p < 0.05), and was reduced in CN-LOH cases. RNA fusion consistently identified breakpoints at exon 10[-&gt;]2 or exon 11[-&gt;]2, affecting key oncogenic domains (CXXC, PHD finger, and bromodomain). Six-month overall survival was 41.2%, with HSCT significantly improving outcomes (68.6% vs. 0% at 17 months, p = 0.028), non-transplanted patients showing shorter median PFS ([~]6 months), and FLT3-mutated patients experiencing 100% mortality (p = 0.0456). In conclusion, CMA and RNA fusion analyses offer complementary diagnostic value in KMT2A-PTD-positive myeloid neoplasms. Such integrated genomic testing improves detection and refines risk stratification. Given the poor prognosis associated with KMT2A-PTD, especially in patients with co-occurring high-risk mutations, our findings support early consideration of HSCT in such patients.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.