Chinese PLA General Hospital, Beijing
Beijing, China
Location status: Recruiting
NCT Number: NCT06946745
Colorectal cancer (CRC) ranks as the fifth most common malignant tumor in the Chinese population. In current clinical practice, standard first- and second-line treatments for metastatic microsatellite-stable (MSS)/proficient mismatch repair (pMMR) CRC are based on multi-drug combination chemotherapy regimens combined with targeted therapies. These regimens include fluoropyrimidine-based chemotherapy (5-fluorouracil [5-FU], leucovorin, or capecitabine) in combination with oxaliplatin or irinotecan, with or without targeted monoclonal antibodies. After disease progression following second-line treatment, the approved treatment options in China include regorafenib, fruquintinib, and TAS-102; however, their clinical benefits remain unsatisfactory, with objective response rates (ORR) of 1-4%, progression-free survival (PFS) of 2-3 months, and overall survival (OS) of 6-9 months according to the respective drug labels. Immunotherapy is currently approved only for metastatic CRC with microsatellite instability-high (MSI-H) or deficient mismatch repair (dMMR) status. In summary, the treatment efficacy for advanced CRC remains limited, highlighting the urgent need for novel drugs and therapeutic strategies to improve patient outcomes.
IBI363 is a recombinant bispecific molecule consisting of an anti-programmed death receptor 1 (PD-1) antibody fused with interleukin-2 (IL-2), administered as an injectable formulation. It blocks the PD-1/PD-L1 pathway while activating the IL-2 signaling pathway, thereby reversing T-cell exhaustion and promoting T/NK cell activation. As of July 31, 2023, a total of 169 participants were enrolled in the CIBI363A102 study, including 22 participants in Part A (accelerated titration and BOIN phase) and 147 in Part B (dose expansion phase). Regarding efficacy, in the dose-escalation phase, 21 participants were evaluable for efficacy, with three participants in the 100-300 μg/kg QW dose group achieving a best tumor response of partial response (PR). In the dose-expansion phase, 76 participants were evaluable for efficacy, with six participants in the 100-1000 μg/kg QW dose group achieving PR.
It is well established that the immune system can eliminate tumor cells through the cancer-immunity cycle. However, this process is not sustained, as tumors can gradually shape the tumor immune microenvironment (TIME) into an immunosuppressive state to counteract host immunity. The balance between pro-tumor and anti-tumor inflammatory mediators may determine tumor progression (Figure 1). Anti-tumor immune cells primarily include effector T cells (such as cytotoxic CD8+ T cells and effector CD4+ T cells), natural killer (NK) cells, dendritic cells (DCs), and M1-polarized macrophages. Pro-tumor immune cells mainly consist of regulatory T cells (Tregs), myeloid-derived suppressor cells (MDSCs), tumor-associated macrophages (TAMs), M2-polarized macrophages, N2-polarized neutrophils, and type 2 innate lymphoid cells (ILC2s). Tumors have evolved various mechanisms to evade immune surveillance, such as defective antigen presentation, upregulation of negative immune regulatory pathways, and recruitment of pro-tumor immune cells. As a result, the function of anti-tumor immune cells is suppressed, and the anti-tumor immune response is difficult to sustain. The goal of immunotherapy is to restore the cytotoxic function of anti-tumor immune cells, particularly cytotoxic T lymphocytes (CTLs), against tumors. Therefore, investigating the function and mechanisms of different immune components within the TIME will help improve immunotherapy response rates and facilitate the development of novel immunotherapeutic strategies.
Figure 1.Tumor-associated immune cells in the tumor microenvironment With the rapid development and iteration of omics technologies such as multiplex immunohistochemistry (mIHC), single-cell transcriptome sequencing (scRNA-seq), and spatial transcriptome sequencing (stRNA-seq), we can now investigate individual cells or specific cellular subpopulations at a higher resolution.
This study aims to enroll patients with advanced MSS/pMMR colorectal cancer (CRC) and perform single-cell transcriptome sequencing on baseline and follow-up tissue samples. The objective is to dynamically map the spatial heterogeneity and evolutionary landscape of the tumor immune microenvironment (TIME) throughout the disease course, from initial diagnosis to disease progression. By analyzing TIME at different time points, we seek to elucidate the potential mechanisms of action of IBI363 in colorectal cancer. Furthermore, we will leverage spatiotemporal transcriptomic analyses to validate cell subpopulation interactions in situ within the tumor microenvironment.
Interested in participating?
Request Info18 year–75 year
All sexes
Observational
Beijing, China
Location status: Recruiting
Exploration of the Dynamic Changes and Mechanisms of the Immune Microenvironment in Advanced Colorectal Cancer Treated with IBI363 Combination Therapy Study Protocol Version No.: 1.0.0 Version Date: December 2, 2024 I. Study Background Colorectal cancer (CRC) ranks as the fifth most common malignant tumor in the Chinese population. In current clinical practice, standard first- and second-line treatments for metastatic microsatellite-stable (MSS)/proficient mismatch repair (pMMR) CRC are based on multi-drug combination chemotherapy regimens combined with targeted therapies. These regimens include fluoropyrimidine-based chemotherapy (5-fluorouracil [5-FU], leucovorin, or capecitabine) in combination with oxaliplatin or irinotecan, with or without targeted monoclonal antibodies. After disease progression following second-line treatment, the approved treatment options in China include regorafenib, fruquintinib, and TAS-102; however, their clinical benefits remain unsatisfactory, with objective response rates (ORR) of 1-4%, progression-free survival (PFS) of 2-3 months, and overall survival (OS) of 6-9 months according to the respective drug labels. Immunotherapy is currently approved only for metastatic CRC with microsatellite instability-high (MSI-H) or deficient mismatch repair (dMMR) status. In summary, the treatment efficacy for advanced CRC remains limited, highlighting the urgent need for novel drugs and therapeutic strategies to improve patient outcomes.
IBI363 is a recombinant bispecific molecule consisting of an anti-programmed death receptor 1 (PD-1) antibody fused with interleukin-2 (IL-2), administered as an injectable formulation. It blocks the PD-1/PD-L1 pathway while activating the IL-2 signaling pathway, thereby reversing T-cell exhaustion and promoting T/NK cell activation. As of July 31, 2023, a total of 169 participants were enrolled in the CIBI363A102 study, including 22 participants in Part A (accelerated titration and BOIN phase) and 147 in Part B (dose expansion phase). Regarding efficacy, in the dose-escalation phase, 21 participants were evaluable for efficacy, with three participants in the 100-300 μg/kg QW dose group achieving a best tumor response of partial response (PR). In the dose-expansion phase, 76 participants were evaluable for efficacy, with six participants in the 100-1000 μg/kg QW dose group achieving PR.
It is well established that the immune system can eliminate tumor cells through the cancer-immunity cycle. However, this process is not sustained, as tumors can gradually shape the tumor immune microenvironment (TIME) into an immunosuppressive state to counteract host immunity. The balance between pro-tumor and anti-tumor inflammatory mediators may determine tumor progression (Figure 1). Anti-tumor immune cells primarily include effector T cells (such as cytotoxic CD8+ T cells and effector CD4+ T cells), natural killer (NK) cells, dendritic cells (DCs), and M1-polarized macrophages. Pro-tumor immune cells mainly consist of regulatory T cells (Tregs), myeloid-derived suppressor cells (MDSCs), tumor-associated macrophages (TAMs), M2-polarized macrophages, N2-polarized neutrophils, and type 2 innate lymphoid cells (ILC2s). Tumors have evolved various mechanisms to evade immune surveillance, such as defective antigen presentation, upregulation of negative immune regulatory pathways, and recruitment of pro-tumor immune cells. As a result, the function of anti-tumor immune cells is suppressed, and the anti-tumor immune response is difficult to sustain. The goal of immunotherapy is to restore the cytotoxic function of anti-tumor immune cells, particularly cytotoxic T lymphocytes (CTLs), against tumors. Therefore, investigating the function and mechanisms of different immune components within the TIME will help improve immunotherapy response rates and facilitate the development of novel immunotherapeutic strategies.
Figure 1.Tumor-associated immune cells in the tumor microenvironment With the rapid development and iteration of omics technologies such as multiplex immunohistochemistry (mIHC), single-cell transcriptome sequencing (scRNA-seq), and spatial transcriptome sequencing (stRNA-seq), we can now investigate individual cells or specific cellular subpopulations at a higher resolution.
This study aims to enroll patients with advanced MSS/pMMR colorectal cancer (CRC) and perform single-cell transcriptome sequencing on baseline and follow-up tissue samples. The objective is to dynamically map the spatial heterogeneity and evolutionary landscape of the tumor immune microenvironment (TIME) throughout the disease course, from initial diagnosis to disease progression. By analyzing TIME at different time points, we seek to elucidate the potential mechanisms of action of IBI363 in colorectal cancer. Furthermore, we will leverage spatiotemporal transcriptomic analyses to validate cell subpopulation interactions in situ within the tumor microenvironment.
II. Research Objectives This study aims to collect and integrate clinical trial data from patients undergoing tumor immunotherapy and conduct in-depth data mining to dynamically map the spatial heterogeneity and evolutionary landscape of the tumor immune microenvironment (TIME) throughout the disease progression in colorectal cancer (CRC) patients.
From the perspective of TIME, we will investigate the potential mechanisms of action of IBI363 in combination therapy compared to control treatments in CRC. Additionally, by analyzing resistance and immune evasion mechanisms, this study seeks to provide a mechanistic foundation for precision diagnosis, treatment optimization, and future therapeutic decision-making for CRC patients.
III. Research Content
A portion of the collected tissue samples will undergo 10× Genomics 3' single-cell RNA sequencing (scRNA-seq), while another portion will be paraffin-embedded for subsequent multiplex immunohistochemistry (mIHC)/immunofluorescence (IF) analysis. Cell clustering analysis will be performed using CellRanger or Seurat software based on gene expression profiles via t-SNE and UMAP dimensionality reduction methods. Tumor and immune cell populations-including T cells, B cells, natural killer (NK) cells, monocytes, macrophages, dendritic cells (DCs), and stromal cells such as fibroblasts, endothelial cells, and mesothelial cells-will be identified based on marker genes, constructing a comprehensive TIME landscape.
Spatial transcriptomics will be used to map the spatial relationships between key cell subpopulations and gene expression patterns, enabling the identification of the most relevant predictive biomarkers associated with treatment response.
This comprehensive approach will allow us to systematically characterize the remodeling effects of different treatment regimens on tumor cells and immunosuppressive cell populations within the tumor microenvironment, including intratumoral Treg cells, tumor-associated macrophages (TAMs), myeloid-derived suppressor cells (MDSCs), and M2 macrophages. Ultimately, this study aims to uncover the potential clinical implications of different cellular subtypes in immunotherapy for CRC.
IV.Technical route
V. Inclusion Criteria and Exclusion Criteria for Study Participants
Inclusion criteria
Cohort 2:
Cohort 9:
Exclusion criteria
Exclusion criteria
for Specific Cohorts
Cohort 2:
Cohort 9:
VI. Management Plan for Common Adverse Events
I. The most common adverse reactions in this study are those associated with tissue biopsy. The main management principles and methods are as follows:
Symptoms: Bleeding or hematoma at the puncture site; vomiting blood, black stools (gastrointestinal bleeding) after endoscopic biopsy; significant bleeding may lead to hypotension, tachycardia, and signs of shock.
Management Measures:
Prevention:
Symptoms: Redness, swelling, and pus formation at the puncture site; fever, chills, increased white blood cell count; deep infections (e.g., liver abscess, pneumonia).
Management Measures:
Prevention:
Management Measures:
Prevention:
High-Risk Sites:
Symptoms:
Management Measures:
Prevention:
Symptoms: Skin erythema, itching; laryngeal edema, bronchospasm, anaphylactic shock.
Management Measures:
Prevention:
Management:
Prevention:
Management:
Prevention:
II. Adverse Reaction Handling Process
III. Special Considerations for Different Biopsy Types
Biopsy Type High-Risk Complications Preventive Measures Endoscopic Bite Biopsy Bleeding, Perforation Avoid deep tissue bites, use electrocautery for vascular areas.
Lung Biopsy Pneumothorax, Hemoptysis End-exhalation needle insertion, immediate post-op chest X-ray.
Liver Biopsy Bleeding, Bile Leakage Ultrasound-guided to avoid major blood vessels and bile ducts, apply pressure dressing post-op.
Prostate Biopsy Hematuria, Infection Preoperative bowel preparation, prophylactic antibiotics.
VII. Data Analysis (A) Sample Size The sample size of this study is not based on statistical hypothesis testing. Approximately 50 subjects are planned to be enrolled.
(B) Statistical Methods
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The primary efficacy endpoint is the Objective Response Rate (ORR). Descriptive statistics will summarize the Best Overall Response (BOR) across cohorts and treatment arms. The number and proportion of responders (CR+PR) will be provided, and the 95% CI for ORR will be estimated using the Clopper-Pearson method. The ORR difference between groups A and B within each cohort will be summarized using descriptive statistics, and the 95% CI will be calculated using the normal approximation method.
Disease Control Rate (DCR) will be analyzed similarly to ORR. For efficacy endpoints such as Duration of Response (DoR), Progression-Free Survival (PFS), and Overall Survival (OS), the Kaplan-Meier method will be used to estimate median times and plot survival curves. The 95% CI for median estimates will be calculated using the Brookmeyer-Crowley method. The 12-month OS rate and its 95% CI will be estimated using the log(-log) transformation and back-transformation based on the normal approximation.
In the Tumor Immune Microenvironment (TIME), the following cell types are of primary interest:
Tumor Cells: Cancer cells within the tumor tissue.
Immune Cells:
Stromal Cells:
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Cohort 2:
Cohort 9:
Exclusion criteria
Exclusion criteria
for Specific Cohorts
Cohort 2:
Cohort 9:
By performing single-cell sequencing on tumor tissues at baseline and post-treatment (cycle 2) across all patients, we will conduct pseudotime trajectory analysis to study the differentiation dynamics of cellular populations.
Time frame: 2027-12-31
The primary efficacy endpoint is the Objective Response Rate (ORR). Descriptive statistics will summarize the Best Overall Response (BOR) across cohorts and treatment arms. The number and proportion of responders (CR+PR) will be provided, and the 95% CI for ORR will be estimated using the Clopper-Pearson method. The ORR difference between groups A and B within each cohort will be summarized using descriptive statistics, and the 95% CI will be calculated using the normal approximation method.
Contact information is provided by the study sponsor or research team.
jianming xu
Other
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