MedPath

Genomic Analysis to Identify a Predictive Biomarker for Immunotherapy

Recruiting
Conditions
Lung Cancer
Registration Number
NCT03578185
Lead Sponsor
Se-Hoon Lee
Brief Summary

This study is designed to identify the predictive biomarker for immunotherapy using patient samples (tumor tissue, blood, fecal material) who treated with immune checkpoint inhibitor.

Detailed Description

\[Sample acquisition\]

* Informed consent is waived for those who agree to donate samples left over from other clinical trials or acquired for other purposes to be used for other research by the sign to master agreement in advance.

* The study will be conducted based on the purposes indicated in the master agreement signed by tissue donator \[Clinical data acquisition\]

* Baseline demographics: Sex, Birth date, expire date (last follow-up date for the survivals)

* Lung cancer treatment history: diagnosed date, treatment history (surgery, radiation therapy, chemotherapy, immunotherapy treatment history, and responses), general performance, metastatic sites

* Lung cancer histologic information: pathology, histologic subtype, EGFR mutation profile, ALK-rearrangement result

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
800
Inclusion Criteria
  1. aged above or equal to 18
  2. Histologically confirmed lung cancer patients
  3. Patient treated with immune checkpoint inhibitor

Exculsion Criteria:

NA

Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
List of biomarkersBaseline

Neoantigen, tumor mutation burden, MHC compatibility, T-cell receptor and associated immune gene signature (IFN-r, interferons such as IL-2 and interleukin family), T-cell subset (T cell surface marker such as CD4+, CD7+, CD8+, CD16, CD34+, CD38+, CD56+, etc.), PD-1/PD-L1 expression, etc.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (3)

Asan Medical Center

🇰🇷

Seoul, Songpa-gu, Korea, Republic of

Seoul National University Hospital

🇰🇷

Seoul, Joungro-gu, Korea, Republic of

Samsung Medical Center

🇰🇷

Seoul, Gangnam-gu, Korea, Republic of

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