Publications by authors named "K Sunami"

DREAMM-11 (NCT03828292) was a Phase 1, open-label, dose-escalation study of belantamab mafodotin in Japanese patients with relapsed/refractory multiple myeloma (RRMM). In Part 1, belantamab mafodotin monotherapy (2.5 or 3.

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Background: The implementation of cancer precision medicine in Japan is deeply intertwined with insurance reimbursement policies and requires case-by-case reviews by Molecular Tumor Boards (MTBs), which impose considerable operational burdens on healthcare facilities. The extensive preparation and review times required by MTBs hinder their ability to efficiently assess comprehensive genomic profiling (CGP) test results. Despite attempts to optimize MTB operations, significant challenges remain.

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Background: Combination therapy with BRAF and MEK inhibitor holds promise for treating gliomas harboring the V600E mutation; however, the development of acquired resistance remains a challenge.

Case Description: We describe a case of repeated recurrent mutant pleomorphic xanthoastrocytoma (central nervous system World Health Organization grade 3) treated with combination therapy with BRAF and MEK inhibitor. The patient received dabrafenib (BRAF inhibitor) and trametinib (MEK inhibitor); however, she developed resistance to the combination therapy.

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We characterized the safety and efficacy of the bispecific antibody teclistamab in Japanese patients with relapsed/refractory multiple myeloma (RRMM). Patients were pretreated with a proteasome inhibitor (PI), immunomodulatory drug (IMiD), and anti-CD38 monoclonal antibody (mAb). The primary endpoint was frequency and type of treatment-emergent adverse events (TEAEs) in phase 1, and overall response rate (ORR; ≥ partial response [PR]) in phase 2.

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Article Synopsis
  • Accurate estimation of tumor mutational burden (TMB) can be improved by including non-coding regions in gene panel assays, which are often overlooked in current calculations that only consider coding regions.
  • This study tested the OncoGuide NCC Oncopanel System (NOP) and found that using both coding and non-coding regions (NOP-overall) significantly increased agreement with TMB status compared to using only coding regions (NOP-coding).
  • Results showed a higher overall percent agreement (OPA) and smaller mean difference in TMB values when including non-coding regions, underlining their importance for precise TMB estimates, especially in smaller panels.
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