Newly designed breakapart FISH probe helps to identify cases with true MECOM rearrangement in myeloid malignancies

Ming Zhao, L. Jeffrey Medeiros, Wei Wang, Guilin Tang, Hai Suk Jung, Steven M. Sfamenos, Hong Fang, Gokce A. Toruner, Shimin Hu, C. Cameron Yin, Pei Lin, Jun Gu, Guang Peng, M. James You, Joseph D. Khoury, Sa A. Wang, Zhenya Tang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


A home-brew, tri-color MECOM breakapart FISH probe with a full MECOM coverage labeled with a separate dye is compared in parallel with a 2-color commercial MECOM breakapart probe in 17 cases of hematologic malignancies. Cases with a typical positive signal pattern (or “balanced” signal pattern) (n = 2) and a negative result (n = 3) using the commercial probe achieved the same results using the new probe (100% concordance), whereas 9 of 12 (75%) remaining cases with an atypical signal pattern (or “unbalanced” signal pattern) using the commercial probe showed a “balanced” signal pattern using the new probe. Three cases with undetermined MECOM rearrangement status by the commercial probe were further clarified with no MECOM rearrangement in 2 cases and presence of a subclone with simultaneous gain and rearrangement of MECOM in 1 case. More importantly, the new probe is capable of determining the presence, location and integrity of MECOM after rearrangement. In conclusion, atypical signal patterns obtained using a commercial FISH probe for MECOM can be solved through re-design and optimization of a new BAP probe, especially in those cases with a true MECOM rearrangement. The potential of the new probe for use in the clinical laboratory will be further investigated.

Original languageEnglish (US)
Pages (from-to)23-29
Number of pages7
JournalCancer Genetics
StatePublished - Apr 2022
Externally publishedYes


  • Fluorescence in situ hybridization (FISH)
  • MECOM rearrangement
  • Myeloid neoplasms
  • Probe design
  • “unbalanced” signal pattern

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Cancer Research


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