Chronological improvement in precision oncology implementation in Japan.

comprehension genomic profiling test genetic counseling genomically matched therapy molecular tumor board precision oncology

Journal

Cancer science
ISSN: 1349-7006
Titre abrégé: Cancer Sci
Pays: England
ID NLM: 101168776

Informations de publication

Date de publication:
Nov 2022
Historique:
revised: 10 07 2022
received: 11 03 2022
accepted: 13 07 2022
pubmed: 18 8 2022
medline: 8 11 2022
entrez: 17 8 2022
Statut: ppublish

Résumé

In Japan, comprehensive genomic profiling (CGP) tests for refractory cancer patients have been approved since June 2019, under the requirement that all cases undergoing CGP tests are annotated by the molecular tumor board (MTB) at each government-designated hospital. To investigate improvement in precision oncology, we evaluated and compared the proportion of cases receiving matched treatments according to CGP results and those recommended to receive genetic counseling at all core hospitals between the first period (11 hospitals, June 2019 to January 2020) and second period (12 hospitals, February 2020 to January 2021). A total of 754 and 2294 cases underwent CGP tests at core hospitals in the first and second periods, respectively; 28 (3.7%) and 176 (7.7%) patients received matched treatments (p < 0.001). Additionally, 25 (3.3%) and 237 (10.3%) cases were recommended to receive genetic counseling in the first and second periods, respectively (p < 0.001). The proportion was associated with the type of CGP test: tumor-only (N = 2391) vs. tumor-normal paired (N = 657) analysis (10.0% vs. 3.5%). These results suggest that recommendations regarding available clinical trials in networked MTBs might contribute to increasing the numbers of matched treatments, and that tumor-normal paired rather than tumor-only tests can increase the efficiency of patient referrals for genetic counseling.

Identifiants

pubmed: 35976133
doi: 10.1111/cas.15517
pmc: PMC9633287
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3995-4000

Subventions

Organisme : the Ministry of Health, Labour and Welfare, Japan
ID : 19EA1007

Informations de copyright

© 2022 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

Références

JCO Precis Oncol. 2019 Dec 11;3:
pubmed: 32923862
Int J Clin Oncol. 2021 Mar;26(3):443-449
pubmed: 33385275
Cancer Sci. 2022 Nov;113(11):3995-4000
pubmed: 35976133

Auteurs

Kuniko Sunami (K)

Department of Laboratory Medicine, National Cancer Center Hospital, Tokyo, Japan.

Yoichi Naito (Y)

Department of Breast and Medical Oncology, National Cancer Center Hospital East, Kashiwa, Japan.

Keigo Komine (K)

Department of Medical Oncology, Tohoku University Hospital, Sendai, Japan.

Toraji Amano (T)

Clinical Research and Medical Innovation Center, Hokkaido University Hospital, Sapporo, Japan.

Daisuke Ennishi (D)

Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan.

Mitsuho Imai (M)

Genomics Unit, Keio University School of Medicine, Tokyo, Japan.

Hidenori Kage (H)

Department of Next-Generation Precision Medicine Development Laboratory, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Masashi Kanai (M)

Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Hirotsugu Kenmotsu (H)

Division of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.

Takafumi Koyama (T)

Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo, Japan.

Takahiro Maeda (T)

Department of Hematology, Oncology and Cardiovascular Medicine, Kyushu University Hospital, Fukuoka, Japan.

Sachi Morita (S)

Department of Clinical Oncology and Chemotherapy, Nagoya University Hospital, Nagoya, Japan.

Daisuke Sakai (D)

Center for Cancer Genomics and Personalized Medicine, Osaka University, Suita, Japan.

Shinji Kohsaka (S)

Section of Knowledge Integration, Center for Cancer Genomics and Advanced Therapeutics, National Cancer Center, Tokyo, Japan.

Katsuya Tsuchihara (K)

Division of Translational Informatics, National Cancer Center Exploratory Oncology Research and Clinical Trial Center, Tokyo, Japan.

Yusuke Saigusa (Y)

Department of Biostatistics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.

Takayuki Yoshino (T)

Department of Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan.

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Classifications MeSH