Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT06243250 |
Other study ID # |
DNP_irAE |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
February 1, 2024 |
Est. completion date |
January 31, 2025 |
Study information
Verified date |
January 2024 |
Source |
Chang Gung Memorial Hospital |
Contact |
Ying-Chieh Lai, MD |
Phone |
+88633281200 |
Email |
cappolya[@]gmail.com |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
This project investigates immune-related adverse events (irAEs) in cancer patients treated
with immune checkpoint inhibitors (ICIs), focusing on metabolic changes. It explores how
glucose metabolism in the spleen, which mirrors immune activity, might predict irAEs. Using
advanced imaging like hyperpolarized (HP) 13C-MRI and metabolomics, the study aims to detect
metabolic flux in the spleen, potentially offering early prediction and risk categorization
of irAEs. The 3-year study will involve 30 cancer patients on ICIs, comparing those with and
without irAEs. It hypothesizes that splenic metabolic alterations seen in HP 13C-MRI can
forecast and categorize irAE severity, improving our understanding of irAEs and potentially
guiding new treatments.
Description:
Immune-related adverse events (irAEs) have become clinical challenges with the exponential
increase in the use of immune checkpoint inhibitors (ICIs) in medical oncology. irAEs can be
fulminant and fatal, requiring personalized management. Early prediction and accurate risk
categorization of irAEs are urgently needed to tailor patient management. Glucose metabolism
in the spleen may reflect immune activity and has been used to predict tumor response to
ICIs. Since the underlying mechanism of irAEs is similar to ICIs tumor response, the splenic
metabolism is a potential biomarker for irAEs.
This project is novel because it aims to investigate irAEs from the perspective of metabolism
by integrating hyperpolarized (HP) 13C-MRI, metabolomics, and MR fingerprinting (MRF). HP
13C-MRI is a new non-invasive, real-time dynamic imaging technique used to detect the
metabolic flux in vivo. Dynamic nuclear polarization (DNP) is a hyperpolarization technique
that increases the signal of 13C-labeled probes by up to 50,000-fold. With DNP,
[1-13C]pyruvate can be used to probe various metabolic pathways, including its conversion to
lactate (anaerobic glycolysis), alanine (transamination), and bicarbonate (indirect marker
for TCA cycle). These specific metabolic alterations have been used to characterize the
functions of immune cells; thus, they may also reflect the splenic immune activity in
patients with irAEs. Additionally, NMR-based metabolomics analyses of patients' serum and
urine will provide a more global view of metabolic changes of whole human body. Furthermore,
the observed metabolic alterations can be translated into multiparametric tissue properties
obtained by MRF.
The investigator design a 3-year project with a non-randomized, two group assignment
observational study design. This research will include 30 cancer patients receiving ICIs.
Twenty patients experiencing acute phase irAEs (grade 2 or higher) and 10 patients not
experiencing irAEs after 14 weeks of treatment will be recruited for this prospective single
institutional study. A dedicated multidiscipline immune-oncologic board will screen patients
who develop irAEs, which include colitis, endocrinopathy, hepatitis, pneumonitis, and skin
toxicity. The diagnosis of the irAEs is determined by clinical history, laboratory values,
standard-of-care imaging, and histopathologic features when biopsy is necessary. Participants
eligible for this study will undergo investigative exams including HP 13C-MRI, metabolomics,
and MRF.
The investigator hypothesize that the spleen immune activity interrogated using HP 13C-MRI
can predict the occurrence of irAEs. Additionally, the level of splenic metabolic alterations
based on HP 13C-MRI will be correlated to the clinical severity of irAEs, providing
additional risk categorization for irAEs. Moreover, by establishing metabolic information and
tissue characteristics obtained by MRF, the dynamic changes of immune activity may be
monitored by the quantifiable and reproducible tissue properties. Finally, by combining HP
13C-MRI and metabolomics, the investigator will have a better understanding of the
pathophysiology of irAEs from the perspective of metabolism, which may lead to the
development of new therapy.