{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:11:34Z","timestamp":1772118694198,"version":"3.50.1"},"reference-count":34,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T00:00:00Z","timestamp":1751068800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Hematological Oncology"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:label\/>\n                    <jats:p>\n                      An exploratory analysis of past clinical trials was conducted to propose a predictive scoring system for the efficacy of mogamulizumab, an anti\u2010CC chemokine receptor 4 (CCR4) antibody, based on easily measurable parameters. Factors affecting progression\u2010free survival (PFS) were investigated using data from three clinical trials (NCT00920790, NCT01626664, and NCT01173887) and one clinical study (UMIN000013294) conducted in patients with relapsed\/refractory (R\/R) or untreated CCR4\u2010positive aggressive adult T\u2010cell leukemia\u2010lymphoma (ATL) receiving mogamulizumab treatment. Twelve routinely measured clinical parameters and three calculated indices\u2014lymphocyte\u2010to\u2010neutrophil count ratio, platelet\u2010to\u2010lymphocyte count ratio, and lymphocyte\u2010to\u2010monocyte count ratio (LMR)\u2014were selected as variables. Univariate Cox proportional hazards analysis identified albumin level, disease type, lactate dehydrogenase (LDH), monocyte count, neutrophil count, and LMR as relevant factors in R\/R ATL patients treated with mogamulizumab monotherapy (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.05). A predictive model constructed from multivariate analysis results stratified the monotherapy group (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a069) into three subgroups, with scores of 0 (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a05), 1 (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a025), and 2 (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a039), based on LDH (0 for &lt;\u00a0265 and 1 for \u2265\u00a0265) and LMR (0 for \u2265\u00a03.571 and 1 for &lt;\u00a03.571). Median PFS values were 0.57, 0.46, and 0.07\u00a0years for scores 0, 1, and 2, respectively (log\u2010rank test:\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.005 for score 0 vs. 2;\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.001 for score 1 vs. 2). The simple model combining LDH and LMR may predict PFS in patients with R\/R aggressive ATL receiving mogamulizumab treatment. Since LDH and LMR are easily measurable in clinical practice, this model could help predict mogamulizumab efficacy and guide treatment decisions in this patient population.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:label\/>\n                    <jats:p>\n                      <jats:bold>Trial Registration:<\/jats:bold>\n                      Registration number: UMIN000049135. Date of registration: October 17, 2022\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/hon.70114","type":"journal-article","created":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T03:30:01Z","timestamp":1751081401000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Exploratory Analysis of Practical Predictive Indices for the Efficacy of Mogamulizumab in Patients With Aggressive Adult T\u2010Cell Leukemia\u2010Lymphoma"],"prefix":"10.1002","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1604-7220","authenticated-orcid":false,"given":"Yutaka","family":"Shimazu","sequence":"first","affiliation":[{"name":"Kyoto Innovation Center for Next Generation Clinical Trials and iPS Cell Therapy Kyoto University Hospital  Kyoto Japan"},{"name":"Department of Early Clinical Development Graduate School of Medicine Kyoto University  Kyoto Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0623-9365","authenticated-orcid":false,"given":"Kenta","family":"Murotani","sequence":"additional","affiliation":[{"name":"Biostatistics Center Kurume University  Fukuoka Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3810-8095","authenticated-orcid":false,"given":"Hiroki","family":"Kitabayashi","sequence":"additional","affiliation":[{"name":"Kyowa Kirin Co., Ltd.  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