| Unique ID issued by UMIN | UMIN000051705 |
|---|---|
| Receipt number | R000059008 |
| Scientific Title | Artificial intelligence-derived gut microbiome as a predictive biomarker for therapeutic response to immunotherapy in lung cancer |
| Date of disclosure of the study information | 2023/07/24 |
| Last modified on | 2023/07/27 16:52:08 |
Artificial intelligence-derived gut microbiome as a predictive biomarker for therapeutic response to immunotherapy in lung cancer
Artificial intelligence-derived gut microbiome as a predictive biomarker for therapeutic response to immunotherapy in lung cancer
Artificial intelligence-derived gut microbiome as a predictive biomarker for therapeutic response to immunotherapy in lung cancer
Artificial intelligence-derived gut microbiome as a predictive biomarker for therapeutic response to immunotherapy in lung cancer
| Japan |
Lung cancer
| Pneumology | Chest surgery |
Malignancy
NO
The present multicenter, prospective, observational study aims to discover the specific composition of the gut microbiome or combination of gut microbes predicting the therapeutic response to immunotherapy in lung cancer using artificial intelligence.
Bio-equivalence
The specific composition of the gut microbiome or combination of gut microbes associated with clinical/graphical therapeutic responses to immunotherapy.
The specific composition of the gut microbiome or combination of gut microbes associated with immune-related adverse events (irAEs) and The diversity of gut microbes associated with irAEs.
Observational
| 20 | years-old | <= |
| Not applicable |
Male and Female
i. Pathologically or cytologically confirmed metastatic or postoperative recurrent NSCLC or SCLC.
ii. 20 years old at the time of informed consent.
iii. Planned treatment with immunotherapy including combination regimens and monotherapies as the first immunotherapy.
iv. Ability to provide fecal samples.
v. Provision of written informed consent.
i. Diseases eligible for definitive chemoradiotherapy.
ii. Patients deemed inappropriate for the study by the investigator.
326
| 1st name | Fumihiro |
| Middle name | |
| Last name | Shoji |
National Hospital Organization Kyushu Cancer Center
Department of Thoracic Oncology
811-1395
3-1-1, Notame, Minami-ku, Fukuoka
092-541-3231
fumshojifumshoji@gmail.com
| 1st name | Fumihiro |
| Middle name | |
| Last name | Shoji |
National Hospital Organization Kyushu Cancer Center
Department of Thoracic Oncology
811-1395
3-1-1, Notame, Minami-ku, Fukuoka
092-541-3231
fumshojifumshoji@gmail.com
National Hospital Organization
National Hospital Organization
Other
National Hospital Organization
National Hospital Organization Central Review Board
2-5-21, Higashigaoka, Meguro-ku, Tokyo
03-5712-5050
700-kenkyu@mail.hosp.go.jp
NO
| 2023 | Year | 07 | Month | 24 | Day |
Unpublished
Preinitiation
| 2023 | Year | 07 | Month | 24 | Day |
| 2023 | Year | 09 | Month | 30 | Day |
| 2028 | Year | 09 | Month | 30 | Day |
multicenter, prospective, observational study
| 2023 | Year | 07 | Month | 24 | Day |
| 2023 | Year | 07 | Month | 27 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000059008