Unique ID issued by UMIN | UMIN000032248 |
---|---|
Receipt number | R000036704 |
Scientific Title | Mathematical Modeling-based Medication for Minimizing Malignant evolution of Lung Cancer |
Date of disclosure of the study information | 2018/04/20 |
Last modified on | 2018/10/25 08:33:26 |
Mathematical Modeling-based Medication for Minimizing Malignant evolution of Lung Cancer
M5-LC
Mathematical Modeling-based Medication for Minimizing Malignant evolution of Lung Cancer
M5-LC
Japan |
EGFR mutation-positive lung adenocarcinoma
Pneumology |
Malignancy
YES
To understand the dynamics of lung cancer evolution, by means of longitudinal ctDNA monitoring and simulation-based approach, in the course of EGFR-TKI therapy in patients with EGFR mutation-positive lung cancer.
Others
To verify appropriate therapeutic strategy and therapeutic sequence in the management of patients with EGFR mutation-positive lung cancer.
Others
Others
Not applicable
Mathematical modeling to understand the dynamics of lung cancer evolution.
Observational
20 | years-old | <= |
Not applicable |
Male and Female
1) Estimated life expectancy > 3 months
2) Written informed consent for participation in this study is obtained
3) Patients with stage IV, recurrent or Stage IIIB/C, without any indication for radical radiation therapy, lung adenocarcinoma who received no prior chemotherapy.
4) Lung adenocarcinoma that is histologically or cytologically diagnosed as well as confirmed as EGFR mutation positive by the validated methods for the detection of EGFR mutations.
5) Patients who are judged suitable for Afatinib therapy by investigators.
6) Measurable disease as defined by RECIST guideline (ver. 1.1)
1) History of any type of malignancy within the past 5 years (including carcinoma in situ).
2) History of organ transplantation (including hematopoietic stem cell transplantation)
3) Major surgery within one month prior to the first blood sampling in this study.
4) Radiotherapy for brain metastatic or other locally advanced lesions within two weeks prior to the first blood sampling in this study.
5) Concomitant presence of distinct types of lung cancer is confirmed:
- Patients with histologically distinct types of lung cancer, including lung squamous cell carcinoma and small cell lung cancer, will be excluded.
- Patients with distinct lung adenocarcinomas harboring ALK translocation or ROS1 translocation will be excluded.
5
1st name | |
Middle name | |
Last name | Shunichi Sugawara |
Sendai Kosei Hospital
Respiratory medicine
4-15, Hirosemachi, Aoba-ku, Sendai-shi, Miyagai-ken, Japan
81-22-222-6181
swara357@sendai-kousei-hospital.jp
1st name | |
Middle name | |
Last name | Tomoiki Aiba |
Sendai Kosei Hospital
Respiratory medicine
4-15, Hirosemachi, Aoba-ku, Sendai-shi, Miyagai-ken, Japan
81-22-222-6181
tomowithkk@gmail.com
Sendai Kosei Hospital
Self-funding
Self funding
Division of Health Medical Computational Science, Health Intelligence Center, The Institute of Medical Science, The University of Tokyo
Genomedia Inc.
NO
2018 | Year | 04 | Month | 20 | Day |
Unpublished
Preinitiation
2018 | Year | 04 | Month | 18 | Day |
2018 | Year | 11 | Month | 15 | Day |
2019 | Year | 03 | Month | 31 | Day |
2019 | Year | 03 | Month | 31 | Day |
2019 | Year | 05 | Month | 31 | Day |
Recruitment of study subjects:
Among newly-treated patients as EGFR mutation-positive lung adenocarcinoma in Sendai Kosei hospital from July 2018 to March 2019, those who meet the inclusion and exclusion criteria can be the study subjects.
2018 | Year | 04 | Month | 14 | Day |
2018 | Year | 10 | Month | 25 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000036704