Deep-Learning-Based Prediction of t(11;14) in Multiple Myeloma H&E-Stained Samples.

Journal: Cancers
Published Date: May 22, 2025

Abstract

BACKGROUND: Translocation of chromosomes 11 and 14 [t(11;14)(q13;32)] is the most common primary translocation in multiple myeloma (MM). Patients harboring t(11;14) exhibit high response rates to BCL-2 inhibitors, underscoring the importance of rapid detection to guide treatment decisions. While fluorescence in situ hybridization (FISH) remains the gold standard for detecting this abnormality, its application is limited by challenges related to speed, accessibility, and cost.

Authors

  • Nadav Kerner
    Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.
  • Dov Hershkovitz
    Institute of Pathology, Tel-Aviv Sourasky Medical Center, 6 Weizmann Street, 6423906, Tel Aviv, Israel. dovh@tlvmc.gov.il.
  • Svetlana Trestman
    Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.
  • Tamir Shragai
    Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.
  • Hila Lederman Nachmias
    Genetics Institute, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel.
  • Yael C Cohen
    Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.
  • Tomer Ziv-Baran
    School of Public Health, Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.
  • Irit Avivi
    Division of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.

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