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  1. Article

    Open Access

    Trametinib improves Treg selectivity of anti-CCR4 antibody by regulating CCR4 expression in CTLs in oral squamous cell carcinoma

    Regulatory T-cells (Tregs) play a major role in suppressing anti-tumor immune responses. Mogamulizumab, an anti-CC chemokine receptor type 4 (CCR4) monoclonal antibody, depletes effector Tregs (eTregs). Howeve...

    Shoya Ono, Susumu Suzuki, Yutaro Kondo, Ikuko Okubo, Mitsuo Goto in Scientific Reports (2022)

  2. No Access

    Article

    TGFB1 mRNA expression is associated with poor prognosis and specific features of inflammation in ccRCC

    To determine whether TGFB1 affects the immune microenvironment of ccRCC, we investigated the association between TGFB1 expression and clinicopathological features. Tissue microarray was generated from 158 total o...

    Taishi Takahara, Takuji Tsuyuki, Akira Satou, Eriko Wada, Kaneko Sakurai in Virchows Archiv (2022)

  3. No Access

    Article

    Nodal EBV-positive polymorphic B cell lymphoproliferative disorder with plasma cell differentiation: clinicopathological analysis of five cases

    Plasma cell differentiation (PCD) is frequently observed in some entities of non-Hodgkin B cell lymphoma, including both low-grade and high-grade lymphomas. However, except for plasmablastic lymphoma and prima...

    Akira Satou, Tetsuya Tabata, Yuka Suzuki, Yasuharu Sato, Ippei Tahara in Virchows Archiv (2021)

  4. No Access

    Article

    Clinicopathological analysis of neoplastic PD-L1-positive EBV+ diffuse large B cell lymphoma, not otherwise specified, in a Japanese cohort

    The programmed death 1 (PD1)/PD1 ligand (PD-L1) axis plays an important role in the pathogenesis of Epstein-Barr virus-positive diffuse large B cell lymphoma, not otherwise specified (EBV+ DLBCL, NOS). Here, w...

    Taishi Takahara, Akira Satou, Eri Ishikawa, Kei Kohno, Seiichi Kato in Virchows Archiv (2021)

  5. Article

    Open Access

    Automated acquisition of explainable knowledge from unannotated histopathology images

    Deep learning algorithms have been successfully used in medical image classification. In the next stage, the technology of acquiring explainable knowledge from medical images is highly desired. Here we show th...

    Yoichiro Yamamoto, Toyonori Tsuzuki, Jun Akatsuka, Masao Ueki in Nature Communications (2019)