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Mathematical Modeling-based Medication for Minimizing Malignant evolution of Lung Cancer

Mathematical Modeling-based Medication for Minimizing Malignant evolution of Lung Cancer - M5-LC

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000032248
Enrollment
5
Registered
2018-04-20
Start date
2018-11-15
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

EGFR mutation-positive lung adenocarcinoma

Interventions

None listed

Sponsors

Sendai Kosei Hospital
Lead Sponsor
Division of Health Medical Computational Science, Health Intelligence Center, The Institute of Medical Science, The University of Tokyo Genomedia Inc.
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 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)

Exclusion criteria

Exclusion criteria: 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.

Design outcomes

Primary

MeasureTime frame
Mathematical modeling to understand the dynamics of lung cancer evolution.

Countries

Japan

Contacts

Public ContactTomoiki Aiba

Sendai Kosei Hospital Respiratory medicine

tomowithkk@gmail.com81-22-222-6181

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026