Ignite Creation Date:
2025-12-25 @ 2:24 AM
Ignite Modification Date:
2025-12-26 @ 12:56 AM
Study NCT ID:
NCT04204434
Status:
COMPLETED
Last Update Posted:
2024-08-13
First Post:
2016-08-16
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Biomarkers For Immune Checkpoint Inhibitors
Sponsor:
Rhode Island Hospital
Organization:
Study Overview
Official Title:
Biomarkers For Immune Checkpoint Inhibitors
Status:
COMPLETED
Status Verified Date:
2024-02
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This is a laboratory, non-treatment study. Immune checkpoint inhibitors are a type of immunotherapy that stimulates a patients immune system to fight their cancer. Immune checkpoint inhibitors are standard, FDA approved treatment for certain types of cancers such as melanoma, lung cancer, kidney cancer and bladder cancer. The laboratories of Dr. Jack Elias and Dr. Chun Geun Lee at Brown University are studying how immune checkpoint inhibitors work.Kintai Therapeutics is a biotech company in Cambridge Massachusetts that will focus on the molecules present in the GI tract, including the stomach, small intestine and colon.
Detailed Description:
Patients who are receiving immune checkpoint inhibitors for their cancer treatment are eligible. Patients will sign informed consent. Ten cc of blood will be drawn before beginning immune checkpoint inhibitors and 10 cc of blood will be drawn 1-4 months after treatment is initiated. Deidentitified blood samples will be sent to the lab of Dr. Jack Elias and Dr. Chun Geul Lee and analyzed for biomarkers. The blood samples will be linked to the patient by a research number. Response to treatment will be correlated to potential biomarkers. The stool samples will be linked to the patient by a research number. Bacterial DNA and RNA may be sequenced and data used to identify bacterial taxa and genes within the stool. In compliance with NIH guidelines, all human DNA data would be removed computationally, and will not be used in any analyses. Small molecules may be profiled with metabolomics. Bacteria may also be isolated from the stool into in vitro culture, and efficacy of single-strains or communities and/or their DNA, RNA, and metabolites on disease models may be assessed.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: