Scholarlink

<p>Treatment-free remission (TFR) has become a therapeutic objective for selected chronic-phase chronic myeloid leukemia (CP CML). However, no standardized biomarker is yet in clinical use. In this multi-center study, we explored the potential of bone marrow (BM) cytomorphology given its global accessibility and integral role in clinical diagnostics. We included diagnostic BM aspirate samples of 113 CP CML patients from seven clinical sites having attempted first TKI discontinuation. We digitized cytomorphological slides into 100x-magnified high-resolution images and analyzed these with deep learning-based image analysis. We profiled the BM cytomorphological fingerprint of CP CML patients and recapitulated the known granulocytic predominance and reduction of lymphoid, monocytic and erythroid cells in comparison to an extensive cohort of 942 control BM samples. We discovered neutrophil abundance and granulocytic maturation to associate with sustained TFR. We confirmed these visually and demonstrated their independent impact over known clinical factors. Our study underlines the potential of computational BM cytomorphology to identify novel clinical biomarkers and suggests that granulocytic expansion and maturation at diagnosis could reflect intrinsic disease pathology influencing TFR maintenance.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Granulocyte abundance and maturation state at diagnosis predicts treatment-free remission in CML

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月16日

查看全文
  • Mikko Purhonen,
  • Mikael Tatun,
  • Katariina Luukkainen,
  • Kevin Hung,
  • Henri Sundquist,
  • Oda Tafjord,
  • Stina Söderlund,
  • Shady Adnan-Awad,
  • Anni Dohlen,
  • Johanna Heikkinen,
  • Perttu Koskenvesa,
  • Sanna Siitonen,
  • Satu Mustjoki,
  • Naranie Shanmuganathan,
  • Coral Bryce,
  • Signe Danielsson,
  • Henrik Hjorth-Hansen,
  • Ulla Olsson-Strömberg,
  • Takashi Kumagai,
  • Shinya Kimura,
  • David M. Ross,
  • Oscar Brück

摘要

Treatment-free remission (TFR) has become a therapeutic objective for selected chronic-phase chronic myeloid leukemia (CP CML). However, no standardized biomarker is yet in clinical use. In this multi-center study, we explored the potential of bone marrow (BM) cytomorphology given its global accessibility and integral role in clinical diagnostics. We included diagnostic BM aspirate samples of 113 CP CML patients from seven clinical sites having attempted first TKI discontinuation. We digitized cytomorphological slides into 100x-magnified high-resolution images and analyzed these with deep learning-based image analysis. We profiled the BM cytomorphological fingerprint of CP CML patients and recapitulated the known granulocytic predominance and reduction of lymphoid, monocytic and erythroid cells in comparison to an extensive cohort of 942 control BM samples. We discovered neutrophil abundance and granulocytic maturation to associate with sustained TFR. We confirmed these visually and demonstrated their independent impact over known clinical factors. Our study underlines the potential of computational BM cytomorphology to identify novel clinical biomarkers and suggests that granulocytic expansion and maturation at diagnosis could reflect intrinsic disease pathology influencing TFR maintenance.