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RecruitingNCT06065592CAT_PBUpdated Oct 6, 2023

Exploring Cancer-Associated Thromboembolism Prognosis Biomarkers and Polymorphisms

A Phase 1 interventional study of Palbociclib and Rivaroxaban in Cancer, Solid Tumor and Thromboembolism, sponsored by Lebanese University. Recruiting at 2 sites in Lebanon. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2023-10-06.

Sponsored by Lebanese University · Phase 1, Interventional, and Prevention

Phase
Phase 1
Study type
Interventional
Enrollment
500
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

This study aims to assess biomarkers and their related polymorphisms in the context of cancer-associated thromboembolism, with a particular focus on their interaction with the immune system. The roles of immune checkpoints, inflammatory and angiogenesis factors, as well as circulating immune cells will be elucidated. Additionally, our investigation extends to the exploration of long non-coding RNAs (LncRNAs) and genes associated with the coagulation vascular system. Initially, these aspects will be evaluated in the context of colorectal cancer, with the intention to expand our research to other solid tumors.

The identification of these biomarkers and genetic factors holds the potential to revolutionize therapeutic approaches for patients with cancer-associated thromboembolism, shedding light on their chemotherapy resistance. The effectiveness of combining immunotherapy with targeted inhibitors like Palbociclib and anticoagulants such as Rivaroxaban, among other potential interventions, will be assessed.

This study aims to make significant contributions to the understanding of these critical aspects, ultimately leading to the development of more effective treatment strategies for cancer patients.

Read the detailed description

Cancer, especially solid tumors, remains a significant global health challenge despite ongoing advancements in risk factor identification and targeted therapies. Among the various complexities of cancer treatment, the relationship between cancer and thromboembolism, characterized by arterial and venous thrombosis, has attracted attention due to its significant impact on patient outcomes.

Cancer cells activate the coagulation system, leading to prothrombotic disorders in the vascular wall and promoting tumor progression. Patients with cancer, particularly those undergoing systemic chemotherapy, face an increased risk of thromboembolism due to abnormal blood clotting mechanisms.

Recent research has emphasized the importance of identifying novel biomarkers for risk assessment, prognosis determination, and treatment selection in cancer. Among these biomarkers, long non-coding RNAs (LncRNAs) and those of the vascular coagulation system have emerged as pivotal players in cancer development and progression. However, their role as prognostic and predictive biomarkers for cancer risk and treatment response remains relatively unexplored.

Understanding the complex interplay between cancer, immune responses, and thromboembolism is crucial. Immunological subsets, including central immune effector T cells (CD8+, CD25+), NK cells, and macrophages, have been linked to cancer prognosis. Furthermore, therapies that modulate the immune system, such as immunotherapy and cell-based therapies, hold promise for improving cancer treatment outcomes.

Most notably, these therapies exhibit immunomodulatory effects, triggering immunogenic cell death and preventing immunosuppression. However, their efficacy may be compromised in cases of cancer associated with clotting abnormalities within the circulatory system. Progenitor cells, including stem cells and endothelial progenitor cells (EPCs), are emerging as potential players in cancer therapy, offering new avenues for research.

Among the innovative approaches is the assessment of circulating immune and endothelial progenitor cells (termed "CIEs"), which may play significant roles in the mechanisms underlying cancer-associated thromboembolism. Understanding the relationship between these cells, inflammatory and angiogenic factors, immune checkpoint, and cancer progression could pave the way for improved cancer risk assessment and treatment strategies.

This study seeks to contribute to our understanding of the intricate connections between LncRNA, coagulation-related biomarkers, thromboembolism, immune responses, and cancer, using solid tumors as a representative example. By shedding light on these complex interactions, this study aims to identify potential biomarkers that can guide risk assessment and treatment decisions, ultimately improving the management of cancer patients.

02

Conditions studied

  • Cancer
  • Solid Tumor
  • Thromboembolism
  • Cardiovascular Diseases
  • Immune System Diseases
  • Inflammatory Diseases
  • Colon Cancer
  • Breast Cancer
  • Prostate Cancer
  • Hepatocellular Carcinoma
  • Lung Cancer
  • Chemotherapy
  • Immunotherapy

Keywords

  • cancer
  • thromboembolism
  • cardiovascular
  • immune cells
  • immunotherapy
  • chemotherapy
  • inflammation
  • gene polymorphism
  • biomarker
  • LncRNA
  • Palbociclib
  • Rivaroxaban
  • blood coagulation
03

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Individuals of white ethnicity.
  • Age between > 18
  • Both males and females.
  • Diagnosis of selected cancer type (e.g., colorectal cancer).
  • Cancer stage 0/I/II without metastasis or lymph node dissemination at the time of enrollment.
  • No previous cancer therapy (radiotherapy, chemotherapy, or immunotherapy) received before study enrollment.
  • Unrelated patients.

Exclusion criteria

Exclusion Criteria:

  • Cancer stage III/IV.
  • History of hematological cancer types or previous cancers, recurrent or relapse.
  • Diagnosis of inflammatory bowel diseases.
  • Pre-existing cardiovascular diseases or coronary artery diseases.
  • Confirmed treated or untreated autoimmune diseases.
  • Metabolic disorders, diabetes, or hypertension.
  • Neurological diseases.
  • Evidence of cardiac, renal, bone, or cerebral damage.
  • Presence of more than one type of malignancies.
  • Active infections or myositis.
  • Familial polyposis.
  • Alcohol or smoking habits.
  • Colon-affecting food allergies.
  • Body mass index (BMI) >30.
  • Significant weight loss within the last 2 years.
  • History of abdominal surgeries.
  • Pregnancy.
  • Related patients.
04

Study design

Phase
Phase 1
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Participant)
Enrollment
500 participants (estimated)

Study arms

  • Active comparator
    Non-Carriers of Targeted Gene-Related Polymorphisms (GRPs) in Cancer Patients

    Cancer patients without any incidence of thromboembolism will be included if they are non-carriers of the targeted gene-related polymorphism (GRP).

    Genetic: SNP

  • Active comparator
    Carriers of Targeted GRPs in Cancer Patients

    Cancer patients without any incidence of thromboembolism will be included if they are carriers of the targeted gene-related polymorphism.

    Genetic: SNP

  • Experimental
    Carriers of Targeted GRPs in Cancer-Associated Thromboembolism Patients

    Cancer patients with incidence of thromboembolism will be included if they are carriers of the targeted gene-related polymorphism.

    Genetic: SNP

  • Experimental
    Carriers of Targeted GRPs in Cancer-Associated Thromboembolism Patients Treated with Palbociclib

    Cancer patients with incidence of thromboembolism will be included if they are carriers of the targeted gene-related polymorphism and will be subjected to Palbociclib treatment.

    Drug: Palbociclib · Genetic: SNP

  • Experimental
    Carriers of Targeted GRPs in Cancer-Associated Thromboembolism Treated with Anti-Coagulant

    Cancer patients with incidence of thromboembolism will be included if they are carriers of the targeted gene-related polymorphism and will be subjected to anti-coagulant treatment.

    Drug: Rivaroxaban · Genetic: SNP

Interventions

  • DrugPalbociclib

    Palbociclib will be administered at a dose of 125 mg oral on a 21/7 cycle.

    Also known as: Ibrance

  • DrugRivaroxaban

    Rivaroxaban will be administered at a dosage of 15 mg intravenously twice a day for 21 days, followed by 20 mg once daily for the subsequent 21 days.

    Also known as: Xarelto

  • GeneticSNP

    diagnostics of patients' carriers or not of the risk allele(s)

    Also known as: Risk Allele(s)

05

What researchers measure

Primary outcomes

  1. Venous Thromboembolism (VTE) Events including: Deep Vein Thrombosis (DVT), Pulmonary Embolism (PE), and other Thromboembolic Events (Vein Thrombosis, Portal Vein Thrombosis, Superior Mesenteric Vein Thrombosis, and Renal Vein Thrombosis)

    The outcome measure of VTE including DVT, PE, and other thromboembolic events will be assessed by : (1) Clinical Assessment: Clinical symptoms such as swelling and pain in the lower limbs, tenderness behind the lower leg and/or medial thigh, and supplementary evaluation with color ultrasound of the veins in both lower limbs (lower extremity venography); (2) Imaging: CT pulmonary arteriography (CTPA) will be employed in conjunction with related clinical manifestations such as dyspnea and shortness of breath for diagnosing PE; (3) Laboratory Criteria: Diagnostic criteria will also consider laboratory parameters, including elevated D-dimer levels (\> 1000 ng/mL), increased fibrinogen levels (\> 700 mg/dL), and shortened activated partial thromboplastin time (aPTT) (\< 20 sec).

    Time frame: up to 60 months

  2. Assessment of Cancer Progression

    The assessment of cancer progression will be conducted using the standardized TNM staging system and applying the Response Evaluation Criteria (RECIST) guideline (ver. 1.1). Clinical parameters, laboratory tests indicative of cancer progression (including tumor markers and histopathological analysis), and relevant imaging modalities (e.g., CT, MRI, or PET scans) will be employed to evaluate the extent of primary tumor growth, lymph node involvement, and the presence of distant metastases. Progression-Free Survival (PFS), a key primary clinical endpoint for assessing cancer progression, will be calculated as the duration (in months) from the date of enrollment in the study until the tumor progresses, new lesions appear, or until the participant's death from any cause. Cancer progression will be determined based on RECIST guidelines, considering an increase in tumor size or the appearance of new lesions according to imaging assessments and clinical evaluations.

    Time frame: up to 60 months

  3. Identification of Potential Biomarkers

    The objective of this outcome is to identify and characterize novel biomarkers associated with thromboembolism and cancer progression. Specifically, the assessment will focus on Long Non-Coding RNAs (LncRNAs) such as CDKN2B and CDKN2B-AS1, and markers related to the vascular coagulation system including ACE, PAI-1, FXIII, and Prothrombin. This identification process will involve collecting biological samples (e.g., blood, tissue) from enrolled patients at the time of study enrollment. The assessment will analyze and evaluate the expression and polymorphisms of the studied genes (CDKN2B, CDKN2B-AS1, ACE, PAI-1, FXIII, and Prothrombin) using quantitative PCR (qPCR), with Ct (Cycle threshold) as the common unit of measure for all genes. This comprehensive assessment aims to enhance our understanding of the molecular signatures linked to thromboembolism and cancer progression, illuminating potential diagnostic and therapeutic avenues for improved patient outcomes.

    Time frame: Once at the moment of the patient's enrollment in the study

  4. Evaluation of Treatment Response to Palbociclib

    This primary outcome assesses treatment response in patients undergoing Palbociclib therapy for controlling cancer progression and thromboembolism. The evaluation will employ RECIST criteria to measure the percentage change in tumor size, indicative of treatment effectiveness.

    Time frame: up to 60 months

Secondary outcomes

  1. Survival Rates

    Analysis of overall survival and progression-free survival rates among groups

    Time frame: up to 60 months

  2. Examination of Genetic Variants, specifically rs1333049 G>C Polymorphism within the CDKN2B-AS1 Gene

    The objective of this secondary outcome is to examine genetic variants, with a specific focus on the rs1333049 G\>C polymorphism within the CDKN2B-AS1 gene. The screening for polymorphism(s) will be determined by genotyping analysis using TaqMan PCR-based genotyping for SNP identification.

    Time frame: Once at the moment of the patient's enrollment in the study

  3. Adverse Events

    Monitoring and reporting of adverse events related to the Palbociclib and Rivaroxaban treatment regimen.

    Time frame: up to 60 months

  4. Immunophenotyping of Immune Cell Populations

    This outcome aims to comprehensively assess immune cell populations involved in the immune response, including T cells, B cells, natural killer (NK) cells, dendritic cells (DCs), and macrophages. The objective is to characterize changes in immune cell subsets over time, providing insights into the immune response dynamics. The assessment will involve immunophenotyping using flow cytometry to quantify and analyze the different immune cell populations. The unit of measure for this assessment will be the percentage of change of T cells, B cells, NK cells, DCs, and macrophages in the total population. The percentage of change will be determined up to a period of 60 months relatively to their levels at the diagnostic time.

    Time frame: up to 60 months

  5. Inflammatory Cytokine Profiling

    This outcome focuses on assessing the levels of cytokines secreted by immune cells, including interferons (IFNs), interleukins (ILs), and tumor necrosis factor (TNF). The objective is to understand cytokine dynamics and their role in the immune response. The assessment will involve cytokine profiling by flow cytometry or ELISA. The levels of IFNs, ILs, and TNF will be measured as a percentage of change over a period of 60 months, relative to their levels at the diagnostic time. This standardized approach of using a common unit of measure will enable a comprehensive and unified evaluation of cytokine variations, providing critical insights into the immune response dynamics throughout the study duration.

    Time frame: up to 60 months

  6. Evaluation of Tumor-Infiltrating Lymphocytes (TILs)

    This outcome aims to evaluate the presence and distribution of TILs within the tumor microenvironment. The objective is to understand the role of TILs in the immune response against the tumor. The assessment will involve analyzing tissue samples for TIL presence and distribution by immunohistochemistry (IHC) or flow cytometry.

    Time frame: up to 60 months

  7. Assessment of Immune Checkpoint Expression (e.g., PD-1 and CTLA-4)

    This outcome focuses on investigating the expression of immune checkpoint molecules, specifically programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4). The objective is to understand the role of immune checkpoints in regulating the immune response. The assessment will involve evaluating immune checkpoint expression using techniques such as flow cytometry or PCR. The levels of PD-1 and CTLA-4 expression will be measured in the percentage of change over a period of 60 months, relative to their levels at the diagnostic time. Utilizing a standardized common unit of measure ensures a uniform assessment, allowing for a comprehensive understanding of the immune checkpoint dynamics and their impact on the immune response throughout the study's duration.

    Time frame: up to 60 months

  8. Measurement of Angiogenic Factors (e.g., VEGF)

    This outcome aims to assess alterations in angiogenic factors, with a specific focus on Vascular Endothelial Growth Factor (VEGF), in relation to treatment and study outcomes. VEGF is a key regulator of angiogenesis and is associated with tumor vascularization. The serum concentrations of VEGF-A/C will be measured by ELISA, providing valuable insights into the angiogenic processes linked to the immune response and their potential impact on treatment outcomes.

    Time frame: up to 60 months

06

Study locations

2 of 2 sites recruiting
  • Haykel Hospital
    Tripoli, North Lebanon 961, Lebanon
    Recruiting
  • Lebanese University
    Tripoli, North Lebanon 961, Lebanon
    • Nehman Makdissy, Professor · Contact · nehman.makdissy@ul.edu.lb · +96171210250
    • Samar Hamoui, PhD · Sub investigator
    • Fida Ayoubi, PhD · Sub investigator
    • Noha Ibrahim, PhD · Sub investigator
    • Nadine Ghotme, PhD · Sub investigator
    • Christelle Rahme, MD, MSc · Sub investigator
    • Elisa Makdessi, MSc · Sub investigator
    • Bassam Bou Deleh, MSc · Sub investigator
    • Joelle Moustafa, MSc · Sub investigator
    • Maria Mouawad, MSc · Sub investigator
    Recruiting
07

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

08

Registry details

Key details

Study ID
NCT06065592
Lead sponsor
Lebanese University
Collaborators
Haykel Hospital
Responsible party
Nehman Makdissy (Principal Investigator, Professor, Lebanese University) — Principal investigator
First posted
Oct 4, 2023
Start date
Feb 1, 2019
Primary completion
Dec 2024 (estimated)
Completion
Dec 2024 (estimated)
Last update
Oct 6, 2023

Study contacts

Nehman Makdissy, Professor
Contact
nehman.makdissy@ul.edu.lb
+96171210250
Nehman Makdissy, Professor
study chair · Lebanese University

Oversight

FDA-regulated drug
Yes
FDA-regulated device
No
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