Yu Uneno
Kyoto University
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Featured researches published by Yu Uneno.
Internal Medicine | 2016
Yu Uneno; Akira Yokoyama; Yoshitaka Nishikawa; Taro Funakoshi; Yoshinao Ozaki; Ikuo Aoyama; Kiichiro Baba; Daisuke Yamaguchi; Shuko Morita; Yukiko Mori; Masashi Kanai; Hisanori Kinoshita; Takeshi Inoue; Nobukatsu Sawamoto; Riki Matsumoto; Shigemi Matsumoto; Manabu Muto
Paraneoplastic neurological syndromes (PNSs) are rare nervous system dysfunctions in cancer patients, which are primarily observed with small-cell lung cancer, gynecological cancer, and thymoma. We herein present an uncommon case of PNS in an anti-Hu antibody-positive patient with human epidermal growth factor receptor (HER)-2-positive gastric cancer (GC), who developed limbic encephalitis and a worsening cognitive function. Trastuzumab-combined chemotherapy was initiated and appeared to be partially effective for controlling the neurological symptoms and tumor volume. Chemotherapy failure eventually led to uncontrollable neurological symptoms. This is the first case demonstrating that trastuzumab-combined chemotherapy may be effective for controlling neurological symptoms of PNS in HER2-positive GC patients.
PLOS ONE | 2017
Yu Uneno; Kei Taneishi; Masashi Kanai; Kazuya Okamoto; Yosuke Yamamoto; Akira Yoshioka; Shuji Hiramoto; Akira Nozaki; Yoshitaka Nishikawa; Daisuke Yamaguchi; Teruko Tomono; Masahiko Nakatsui; Mika Baba; Tatsuya Morita; Shigemi Matsumoto; Tomohiro Kuroda; Yasushi Okuno; Manabu Muto
Background We aimed to develop an adaptable prognosis prediction model that could be applied at any time point during the treatment course for patients with cancer receiving chemotherapy, by applying time-series real-world big data. Methods Between April 2004 and September 2014, 4,997 patients with cancer who had received systemic chemotherapy were registered in a prospective cohort database at the Kyoto University Hospital. Of these, 2,693 patients with a death record were eligible for inclusion and divided into training (n = 1,341) and test (n = 1,352) cohorts. In total, 3,471,521 laboratory data at 115,738 time points, representing 40 laboratory items [e.g., white blood cell counts and albumin (Alb) levels] that were monitored for 1 year before the death event were applied for constructing prognosis prediction models. All possible prediction models comprising three different items from 40 laboratory items (40C3 = 9,880) were generated in the training cohort, and the model selection was performed in the test cohort. The fitness of the selected models was externally validated in the validation cohort from three independent settings. Results A prognosis prediction model utilizing Alb, lactate dehydrogenase, and neutrophils was selected based on a strong ability to predict death events within 1–6 months and a set of six prediction models corresponding to 1,2, 3, 4, 5, and 6 months was developed. The area under the curve (AUC) ranged from 0.852 for the 1 month model to 0.713 for the 6 month model. External validation supported the performance of these models. Conclusion By applying time-series real-world big data, we successfully developed a set of six adaptable prognosis prediction models for patients with cancer receiving chemotherapy.
Internal Medicine | 2018
Yosuke Fujii; Yoshitaka Nishikawa; Motoo Nomura; Shin'ich Miyamoto; Yu Uneno; Takahiro Horimatsu; Manabu Muto
Nivolumab shows promising efficacy against metastatic melanoma. However, immune-related adverse events are of great concern. We herein report a case of persistent colitis that developed during nivolumab monotherapy and nivolumab readministration. An 82-year-old Japanese woman with recurrent melanoma developed Grade 3 colitis after 6 cycles of nivolumab. She was treated with corticosteroid for 28 days. Follow-up by computed tomography and colonoscopy after corticosteroid treatment revealed persistent pancolitis. Her symptoms ameliorated spontaneously in two months. Given the amelioration, nivolumab was restarted and resulted in the maintenance of stable disease for 21 months without recurrence of colitis. Even in cases of persistent colitis over several months, nivolumab readministration should be considered.
Japanese Journal of Clinical Oncology | 2017
Rihito Aizawa; Shigemi Matsumoto; Yu Uneno; Yoshitaka Nishikawa; Yoshinao Ozaki; Yukiko Mori; Masashi Kanai; Yuichi Ishida; Katsuyuki Sakanaka; Masahiro Hiraoka; Manabu Muto
Although radiation esophagitis is one of the most common adverse events that occurs during chemoradiotherapy (CRT) in patients with esophageal cancer, CRT-associated cytomegalovirus (CMV) esophagitis is rare. CMV esophagitis typically occurs in patients with an immunosuppressed status. Here we report a case of CMV esophagitis during CRT initially treated as radiation esophagitis. A 64-year-old man with mid-thoracic esophageal cancer was admitted to our hospital with clinical stage cT4bN1M1 (supraclavicular lymph node metastasis) Stage IV according to the UICC ver. 7 guidelines, and he was administered definitive concurrent CRT. From the 39th day of CRT onwards, he presented with a sustained fever and severe odynophagia that was resistant to antibiotic therapy. An esophagoscopy revealed severe esophagitis with a circumferential ulcer throughout the entire esophagus, and CMV esophagitis was clinically suspected because of positive result of CMV antigenemia. Subsequently, antiviral therapy for CMV provided dramatic relief of his symptoms. Later, CMV DNA was confirmed with a polymerase chain reaction in the biopsy specimen.The symptoms of CMV esophagitis resemble those of radiation esophagitis and can make the diagnosis difficult. Thus, CMV esophagitis associated CRT may be overlooked or masked by radiation esophagitis and can cause a delay in healing. Therefore, CMV esophagitis may be considered when severe intractable esophagitis is observed during CRT.
International Journal of Clinical Oncology | 2017
Yoshitaka Nishikawa; Masashi Kanai; Maiko Narahara; Akiko Tamon; J.B. Brown; Kei Taneishi; Masahiko Nakatsui; Kazuya Okamoto; Yu Uneno; Daisuke Yamaguchi; Teruko Tomono; Yukiko Mori; Shigemi Matsumoto; Yasushi Okuno; Manabu Muto
Annals of Oncology | 2015
Yu Uneno; Kei Taneishi; Masashi Kanai; Akiko Tamon; Kazuya Okamoto; Yoshitaka Nishikawa; J.B. Brown; Shigemi Matsumoto; Yasushi Okuno; Manabu Muto
Lancet Oncology | 2018
Yu Uneno; Manabu Muto; Tatsuya Morita
Archive | 2017
Yu Uneno; Masashi Kanai
Annals of Oncology | 2016
Yu Uneno; M. Baba; Masashi Kanai; Kei Taneishi; M. Nakatsui; Yasushi Okuno; Manabu Muto; Tatsuya Morita
Journal of Clinical Oncology | 2015
Yu Uneno; Tadayuki Kou; Masashi Kanai; Michio Yamamoto; Peng Xue; Yukiko Mori; Yasushi Kudo; Akira Kurita; Norimitsu Uza; Yuzo Kodama; Masanori Asada; Toshihiko Masui; Shujiro Yazumi; Shigemi Matsumoto; Kyoichi Takaori; Satoshi Morita; Manabu Muto; Tsutomu Chiba