Metabolic Syndrome in Childhood Cancer Survivors

Study of the Pathogenic Mechanisms of Metabolic Syndrome at the Background of Genetically Determined Insulin Resistance in Childhood Cancer Survivors

The research is devoted to studying the features of the metabolic syndrome in cancer survivors in childhood is supposed to answer the following questions:

  • How can metabolic syndrome be diagnosed in the Russian population of survivors of acute lymphoblastic leukemia and non-Hodgkin's lymphomas?
  • What are the features of the clinical symptoms of metabolic syndrome in this category of patients?
  • Which genetic mutations are found in cancer survivors of patients with metabolic syndrome; Which of these mutations can be considered as protective or vice versa predisposing to the development of metabolic syndromes? Is the metabolic syndrome associated with an increased frequency of toxic complications of therapy during the intensive stages?

Study Overview

Status

Unknown

Conditions

Detailed Description

Brief Overview:

The remarkable progress in developing curative therapy for childhood cancer over the last 4 to 5 decades has increased awareness of the serious cancer treatment-related late effects experienced by long-term survivors such as premature mortality early deaths, second primary cancers, organ dysfunction (heart, lung, endocrine system), fertility impairment, cognitive deficits, and reduced quality of life. Endocrine disorders, which occur in 30% to 70% of childhood cancer survivors, are among the most frequent late effects of anticancer therapy. Survivors treated with radiation and alkylating agent chemotherapy for hematological malignancies and CNS tumors are at a particularly high risk for endocrine dysfunction.

Most anticancer drugs act directly or indirectly by modifying intracellular metabolism. Therefore, high frequency of acute and late cancer treatment-related organ toxicity can result in metabolic disorders. For example, steroid-induced hypercortism blocks glycolysis and results in insulin resistance of tissues. Insulin resistance is associated with earlier manifestation of diabetes mellitus, obesity etc. The clinical sequelae of metabolic syndrome developing in childhood cancer survivors may include insulin resistance, fasting hyperglycemia, endothelial failure, obesity, dyslipidemia, hypertension, chronic fatigue syndrome, motor and behavioral disorders.

Modern genetics make it possible to create a basis for a personalized approach to the prevention of early and late toxic effects caused by anticancer therapy and the rehabilitation of the childhood cancer survivors.

Objectives:

Specific Aim 1. Evaluate the frequency and clinical features of the metabolic syndrome in childhood cancer survivors.

Hypothesis 1A: Components of the metabolic syndrome are realizing in children and adolescents at all stages of therapy of leukemia and lymphomas, can influence the development of complications and late toxic effects.

Hypothesis 1B: Initial health conditions (abnormal IBM, family history, comorbid diseases); drug's toxicity could influence to the appearance of early manifestation of metabolic syndrome.

Specific Aim 2: Evaluate the contribution of functional polymorphisms in candidate genes to metabolic syndrome outcomes among childhood cancer patients.

Hypothesis 2A: Genetic polymorphisms involved in the regulation of the insulin resistance and cancer medications during treatment contribute to the development of metabolic syndrome in childhood cancer survivors.

Specific Aim 3: Assess the extent to which genetic predictors, doses of drugs, risk factors improve the discriminatory performance of standard clinical prediction models for metabolic syndrome outcomes among childhood cancer survivors.

Hypothesis 3 A: Development of metabolic syndrome in cancer patients depends of genetic determinants and toxic effects of antitumor therapy.

Secondary Aim 1: Assess the definition of metabolic syndrome in cohort of patients of leukemia and lymphoma and survivors.

Hypothesis 1A: Episodes of triglyceridemic, insulin resistance (Hyperglycemia, HOMA>2,7, Steroid Diabetes) during the treatment could be the base evidence marker of Metabolic Syndrome in patients treated by antitumor therapy.

Hypothesis 1 B: Endothelial dysfunction as a clinical component of metabolic syndrome is responsible for cardiovascular abnormalities in cancer survivors.

Exploratory Aim 1: Assess the association of biomarkers and genetic predictors among childhood cancer survivors with therapeutic exposures (chemotherapy and/or radiation therapy) and metabolic syndrome.

Evaluation:

Eligible persons who consent to participate in this trial will be asked to do the following:

  • Vital sign measurement including resting heart rate, blood pressure, height, and weight.
  • A total of 12 mL of blood will be collected in 3 test tubes. Biomarker analysis will be completed by Laboratory of Dmitry Rogachev National Medical Research Center.
  • A Total of 4 mL of blood in 1 test tube will be used for genotyping for the presence of polymorphic variants in genes involved in the biotransformation of xenobiotics, insulin resistance and carbohydrate metabolism in the biomolecular laboratory of Dmitry Rogachev National Medical Research Center.
  • An echocardiogram and ultrasound will be performed to assess cardiac function.
  • CAVI and ABI pulse wave velocity will be non-invasively measured by using the SphygmoCor VaSera VS-1500N. Arterial pressure waveforms will be recorded with a strain gauge pressure sensor placed lightly over the radial artery before and after "6-minutes physical activity".

Study Type

Observational

Enrollment (Anticipated)

400

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Moscow, Russian Federation, 117997
        • Recruiting
        • Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology
        • Contact:
        • Sub-Investigator:
          • Anna E Gavrilova, PhD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

5 years to 15 years (Child)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Participants for this study will be patients of "Russkoe Pole" cohort, the study designed to evaluate health among children and adolescents survivors of childhood leukemia and lymphoma as they age. Participants in RPC undergo risk-based medical screening according to the Standards of Medical Insurance for rehabilitation of Cancer treated patients.

To be eligible for RPC, cancer survivors must has been treated at Russian children oncology clinics by MB-ALL/ BFM-NHL and be 17 years of age or younger, and at least 6 months from the completion of the therapy. All the patients will has exhaustively full epicrisis of medical history with cumulative doses of medications. coz RPC is a retrospective cohort study with ongoing recruitment (additional survivors become eligible over time).

Description

Inclusion Criteria:

  • Cancer survivors:
  • Treatment with chemotherapy and/or radiation therapy for a primary ALL/NHL diagnosed prior to age 17 years.
  • ≤ 15 years of age at the time of enrollment.
  • No cytostatic drugs uptake during the study.

Exclusion Criteria:

  • Diagnosis of diabetes mellitus types 1 or 2 types before antitumor therapy
  • Active oncological disease
  • History of allogeneic hematopoietic cell transplant
  • The renouncement of participation from the patient or legally authorized representative

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Russkoe pole
400 patients

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The frequency of metabolic syndrome
Time Frame: 12 months
The frequency of diagnosed metabolic syndrome in the cohort of children and adolescents with leukemia and lymphomas
12 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Genetic risk
Time Frame: 12 months
The detection of NSP associated with metabolic syndrome in children and adolescents after childhood cancer.
12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Melissa M. Hudson, MD, St. Jude Children's Research Hospital Memphis, TN 38105

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 20, 2018

Primary Completion (Anticipated)

September 20, 2021

Study Completion (Anticipated)

December 20, 2022

Study Registration Dates

First Submitted

December 7, 2018

First Submitted That Met QC Criteria

December 10, 2018

First Posted (Actual)

December 12, 2018

Study Record Updates

Last Update Posted (Actual)

December 20, 2018

Last Update Submitted That Met QC Criteria

December 19, 2018

Last Verified

December 1, 2018

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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