Yusuke Okuma

Dr. Yusuke Okuma

Tokyo Metropolitan Cancer and Infectious Disease Center Komagome Hospital, Tokyo, Japan
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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2020 in Cancer Immunology Research
Verified
Journal Article
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THTaiki Hakozaki
Taiki Hakozaki
CRCorentin Richard
Corentin Richard
AEArielle Elkrief
Arielle Elkrief
YHYukio Hosomi
Yukio Hosomi
MBMyriam Benlaïfaoui
Myriam Benlaïfaoui
YOYusuke Okuma
Yusuke Okuma
The gut microbiome (GM) plays an important role in shaping systemic immune responses and influences immune checkpoint inhibitor (ICI) efficacy. Antibiotics worsen clinical outcomes in patients receiving ICI. However, whether GM profiling and baseline antibiotic can be a biomarker of ICI efficacy in advanced non–small cell lung cancer (NSCLC) remains unknown. We prospectively collected baseline (pre-ICI) fecal samples and clinical data of 70 Japanese patients suffering from advanced NSCLC and treated them with anti–PD-1/PD-L1 antibodies as a first-line or treatment-refractory therapy. We performed 16S rRNA V3–V4 sequencing of gene amplicons of fecal samples, and bacteria diversity and differential abundance analysis was performed. The clinical endpoints were objective response rate (ORR), progression-free survival (PFS), overall survival (OS), and immune-related adverse events (irAE). ORR was 34%, and median PFS and OS were 5.2 and 16.2 months, respectively. Patients who received pre-ICI antibiotic had lower alpha diversity at baseline and underrepresentation of Ruminococcaceae UCG 13 and Agathobacter. When analyzing antibiotic-free patients, alpha diversity correlated with OS. In addition, Ruminococcaceae UCG 13 and Agathobacter were enriched in patients with favorable ORR and PFS >6 months. Ruminococcaceae UCG 13 was enriched in patients with OS >12 months. GM differences were observed between patients who experienced low- versus high-grade irAE. We demonstrated the negative influence of antibiotic on the GM composition and identified the bacteria repertoire in patients experiencing favorable responses to ICI.

2 November 2022 in Cancer Discovery
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Journal Article
Open access
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TKTakashi Kohno
Takashi Kohno
MKMamoru Kato
Mamoru Kato
SKShinji Kohsaka
Shinji Kohsaka
TSTomohisa Sudo
Tomohisa Sudo
ITIkuo Tamai
Ikuo Tamai
HMHiroyuki Mano
Hiroyuki Mano
Summary: Since June 2019, under the umbrella of the national health insurance system, Japan has started cancer genomic medicine (CGM) with comprehensive genomic profiling (CGP) tests. The Ministry of Health, Labour and Welfare (MHLW) of Japan constructed a network of CGM hospitals (a total of 233 institutes as of July 1, 2022) and established the Center for Cancer Genomics and Advanced Therapeutics (C-CAT), the national datacenter for CGM. Clinical information and genomic data from the CGP tests are securely transferred to C-CAT, which then generates “C-CAT Findings” reports containing information of clinical annotation and matched clinical trials based on the CGP data. As of June 30, 2022, a total of 36,340 datapoints of clinical/genomic information are aggregated in C-CAT, and the number is expected to increase swiftly. The data are now open for sharing with not only the CGM hospitals but also other academic institutions and industries.

1 February 2017 in Lung Cancer
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Journal Article
Closed access
YOYusuke Okuma
Yusuke Okuma
YHYukio Hosomi
Yukio Hosomi
YNYoshiro Nakahara
Yoshiro Nakahara
KWKageaki Watanabe
Kageaki Watanabe
YSYukiko Sagawa
Yukiko Sagawa
SHSadamu Homma
Sadamu Homma

1 September 2018 in Clinical Lung Cancer
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Journal Article
Closed access
YOYusuke Okuma
Yusuke Okuma
HWHiroshi Wakui
Hiroshi Wakui
HUHirofumi Utsumi
Hirofumi Utsumi
YSYukiko Sagawa
Yukiko Sagawa
YHYukio Hosomi
Yukio Hosomi
SHSadamu Homma
Sadamu Homma

2 May 2019 in International Journal of Clinical Oncology
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Journal Article
Open access
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HAHiroaki Akamatsu
Hiroaki Akamatsu
KNKiichiro Ninomiya
Kiichiro Ninomiya
HKHirotsugu Kenmotsu
Hirotsugu Kenmotsu
MMMasahiro Morise
Masahiro Morise
HDHaruko Daga
Haruko Daga
NYNobuyuki Yamamoto
Nobuyuki Yamamoto
According to rapid development of chemotherapy in advanced non-small cell lung cancer (NSCLC), the Japan Lung Cancer Society has been updated its own guideline annually since 2010. In this latest version, all of the procedure was carried out in accordance with grading of recommendations assessment, development and evaluation (GRADE) system. It includes comprehensive literature search, systematic review, and determination of the recommendation by multidisciplinary expert panel which consisted of medical doctors, pharmacists, nurses, statisticians, and patients from patient advocacy group. Recently, we have had various types of chemotherapeutic drugs like kinase inhibitors or immune-checkpoint inhibitors. Thus, the guideline proposes to categorize patients into three entities: (1) driver oncogene-positive, (2) PD-L1 ≥ 50%, and (3) others. Based on this subgroup, 31 clinical questions were described. We believe that this attempt enables clinicians to choose appropriate treatment easier. Here, we report an English version of the Japan Lung Cancer Society Guidelines 2018 for NSCLC, stages IV.

8 January 2019 in Oncology Letters
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Journal Article
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THTaiki Hakozaki
Taiki Hakozaki
YOYusuke Okuma
Yusuke Okuma
MOMiwako Omori
Miwako Omori
YHYukio Hosomi
Yukio Hosomi
Gut microbiota serves an important role in shaping systemic immune responses. Antibiotics cause changes in the gut microbiota that may influence the efficacy of cancer immunotherapy. In the present study, a retrospective analysis of the data from 90 patients treated with nivolumab for non‑small cell lung cancer (NSCLC) was conducted. A total of 13 patients were treated with antibiotics prior to nivolumab therapy. The median progression‑free survival time in patients treated with antibiotics was 1.2 months [95% confidence interval (CI), 0.5‑5.8], while the time for patients who were not treated with antibiotics was 4.4 months (95% CI, 2.5‑7.4). The median overall survival time in patients treated with antibiotics was 8.8 months, while it was not reached in those not treated with antibiotics, respectively. The differences between the survival curves with regard to PFS and OS were statistically significant (P=0.04 and P=0.037, respectively). However, in multivariate analysis, no statistically significant association was indicated between survival and prior antibiotic use, although a certain trend concerning the negative influence of antibiotic use was conveyed.