論文

2022年3月3日

Impact of HLA Epitope Matching on Outcomes After Unrelated Bone Marrow Transplantation

Frontiers in Immunology
  • Makoto Iwasaki
  • Junya Kanda
  • Hidenori Tanaka
  • Takero Shindo
  • Takahiko Sato
  • Noriko Doki
  • Takahiro Fukuda
  • Yukiyasu Ozawa
  • Tetsuya Eto
  • Naoyuki Uchida
  • Yuta Katayama
  • Keisuke Kataoka
  • Takahide Ara
  • Shuichi Ota
  • Makoto Onizuka
  • Yoshinobu Kanda
  • Tatsuo Ichinohe
  • Yoshiko Atsuta
  • Satoko Morishima
  • 全て表示

13
記述言語
掲載種別
研究論文(学術雑誌)
DOI
10.3389/fimmu.2022.811733
出版者・発行元
Frontiers Media SA

The significance of antibody-identified epitopes stimulating humoral alloimmunity is not well understood in the identification of non-permissive human leukocyte antigen (HLA) mismatching patterns in hematopoietic stem cell transplantation (HSCT). This was a retrospective study in a cohort of 9,991 patients who underwent their first HSCT for hematologic malignancies from unrelated bone marrow donors in the Transplant Registry Unified Management Program (TRUMP). HLA eplet mismatches (EMM) were quantified using HLAMatchmaker (HLAMM). The median age of patients was 48 years (range, 16 to 77). The number of EMM in recipient-donor pairs in our study population ranged from 0 to 37 in HLA class I (median, 0) and 0 to 60 in HLA class II (median, 1). In addition to the known high-risk mismatch patterns in the Japanese cohort, HLA-C EMM in the GVH direction was associated with a significantly higher risk for grade III-IV aGVHD, leading to a higher risk of non-relapse mortality and lower overall survival (compared with HLA-C matched patients, HR 1.67, 95% CI 1.44–1.95; HR 1.39, 95% CI 1.25–1.54; HR 1.20, 95% CI 1.10–1.30, respectively). HLAMM-based epitope matching might be useful for identifying patients who are at high risk for serious complications after HSCT from HLA mismatched unrelated donors.

リンク情報
DOI
https://doi.org/10.3389/fimmu.2022.811733
URL
https://www.frontiersin.org/articles/10.3389/fimmu.2022.811733/full
ID情報
  • DOI : 10.3389/fimmu.2022.811733
  • eISSN : 1664-3224

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