Dietary Habits, Metabolome, Immune Profile and Microbiota in Patients With Bone Sarcoma
Metabol-Sarc
Evaluation of Dietary Habits, Metabolome, Immune Profile and Microbiota in Patients With Bone Sarcoma
1 other identifier
observational
810
1 country
7
Brief Summary
Osteosarcoma and Ewing sarcoma treatment has not changed in the last 30 years. For other types of cancer the epidemiologic and prognostic correlations between dietary behavior, lifestyle and metabolic alterations (i.e.obesity, insulin-resistance) are well known (breast cancer, prostate cancer, colon cancer). However, no epidemiological or prognostic data are available about the metabolic profile and lifestyle behaviors in patients with osteosarcoma and Ewing'sarcoma and only few preclinical studies are available. An in vitro study showed a higher glucose and glutamine consumption from metastatic osteosarcoma cells compared to primary tumor osteosarcoma cells. The effect of the intestinal microbiota into the metabolism of nutrients, drugs, inflammation, epigenetic and immune response was found not only correlated to gastrointestinal tumors but also to other tumors outside gastrointestinal system as well The aim of this study is to investigate if there are differential dietary habits, metabolome, microbiota or immune profile in patients with bone sarcoma compared to a control population in a 1:2 multicenter study.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Mar 2021
Typical duration for all trials
7 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 22, 2020
CompletedFirst Posted
Study publicly available on registry
February 3, 2021
CompletedStudy Start
First participant enrolled
March 10, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2024
CompletedAugust 4, 2023
August 1, 2023
3.8 years
December 22, 2020
August 3, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Diet habits in patients versus case controls measured by EPIC COS FFQ
Diet habits from osteosarcoma and Ewing sarcoma patients will be compared with diet habits from a control population. The diet habits data will be evaluated EPIC COS FFQ( European Prospective Investigation Into Cancer and Nutrition Case Only Study Food Frequency Questionnaire) which report: the food consumptions in the last 12 months \- Main food groups (water and other drinks, grain products, fruits and vegetables, legumes, meat and fish products, dairy products, sweets and savory snacks) FFQ-EPIC COS can be accessed on PubMed (PMID: 12484126 and PMID: 12484120).
At diagnosis, up to 4 years
Diet Quality Index -
Diet quality index from osteosarcoma and Ewing sarcoma patients will be compared with diet habits from a control population. Data will be accessed with EPIC COS FFQ( European Prospective Investigation Into Cancer and Nutrition Case Only Study Food Frequency Questionnaire ) \- Diet quality index will be calculated to compare adherence to dietery guidelines and it will be expressed in percentage
At diagnosis, up to 4 years
Number of patients overweight and obese measured by Body mass index (BMI compared to controls)
Body Mass Index (BMI) measure will be achieved in patients and controls by impedance Tanita scale model BC545 based on height (in centimeters) and weight (in Kilograms) expressed in subjects \>18yrs as 1) underweight if \<18.5, 2) normal weight 18.5 to 25,3)overweight 25-30 and 4) obese \>30. BMI measure will be achieved by impedance Tanita scale model BC545 in study patients at diagnosis and compared with a control subjects.
At diagnosis, up to 4 years
Body composition
Lean mass and fat mass will be calculated via impedance Tanita scale model BC545 as a percentage of total weight .Lean body mass is the difference between total body weight and body fat weight, expressed as percentage (%)
At diagnosis, up to 4 years
Secondary Outcomes (4)
Concentration of blood metabolites - Metabolome
At diagnosis, up to 4 years
Microbiota
At diagnosis, up to 4 years
Concentrations of lymphocytes subpopulation
At diagnosis, up to 4 years
Lipid profile and Glucidic profile
At diagnosis, up to 4 years
Study Arms (2)
GROUP 1 - 215 Patients and 430 Control cases (1:2)
Patients of \>= 12 years old (pediatric and adults) with new diagnosis of osteosarcoma and Ewing sarcoma will be included * Localized and metastatic * Male and female Control cases matched by age, sex and italian geographic area
GROUP 2 - Pilot Phase :55 Patients and 110 Control cases (1:2)
* Patients of \>= 12 years old (pediatric and adults) with new diagnosis of osteosarcoma and Ewing sarcoma will be included Localized and metastatic Male and female * Control cases matched by age, sex, and geographic area
Interventions
Anthropometric measurements (Body mass Index, Lean and fat body composition evaluation) and diet habits evaluation with EPIC-COS-FFQ
At diagnosis before any treatment for bone sarcoma will be obtained : 1. a blood sample for metabolomics analyses 2. a stool sample for microbiota analysis 3. Lymphocyte subpopulations (CD3, CD4, CD8, NK) will be analyzed in blood samples
Eligibility Criteria
* Patients will be selected from the central and satellite centers * Control group will be selected from the same age, sex, geographic area of the recruited patients
You may qualify if:
- Osteosarcoma and Ewing sarcoma first diagnosis
- No previous chemotherapy treatment
- ≥ 12 years old
- Able to understand the questionnaire
- No malignant tumor diagnosis for the last 5 years
- Control case should have a range of +/- 2 years old for patients \>= 21 years old. For patients between 12 and 21 years old the difference should be +/- 1 years.
You may not qualify if:
- Other tumor type
- Not able to understand the questionnaire
- Patient diagnosed for malignant tumor during the last 5 years
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (7)
IRCCS Candiolo Cancer Institute
Candiolo, Torino, 10060, Italy
Rizzoli Orthopedic Institute - Bologna
Bologna, 40136, Italy
Ospedale pediatrico Meyer - U.O. Pediatric Oncoematology
Florence, 50139, Italy
IRCCS Istituto Nazionale Tumori - U.O. Pediatric Oncology
Milan, 20133, Italy
Azienda Ospedaliero Universitaria Pisana - U.O. Pediatric Oncoematology
Pisa, 56126, Italy
Regina Elena Cancer Center
Roma, 00144, Italy
Ospedale Regina Margherita - U.O. Pediatric Oncoematology
Torino, 10126, Italy
Related Publications (6)
Fulbright LE, Ellermann M, Arthur JC. The microbiome and the hallmarks of cancer. PLoS Pathog. 2017 Sep 21;13(9):e1006480. doi: 10.1371/journal.ppat.1006480. eCollection 2017 Sep. No abstract available.
PMID: 28934351RESULTGarrett WS. Cancer and the microbiota. Science. 2015 Apr 3;348(6230):80-6. doi: 10.1126/science.aaa4972.
PMID: 25838377RESULTLynch SV, Pedersen O. The Human Intestinal Microbiome in Health and Disease. N Engl J Med. 2016 Dec 15;375(24):2369-2379. doi: 10.1056/NEJMra1600266. No abstract available.
PMID: 27974040RESULTSoldati L, Di Renzo L, Jirillo E, Ascierto PA, Marincola FM, De Lorenzo A. The influence of diet on anti-cancer immune responsiveness. J Transl Med. 2018 Mar 20;16(1):75. doi: 10.1186/s12967-018-1448-0.
PMID: 29558948RESULTFritsche-Guenther R, Gloaguen Y, Kirchner M, Mertins P, Tunn PU, Kirwan JA. Progression-Dependent Altered Metabolism in Osteosarcoma Resulting in Different Nutrient Source Dependencies. Cancers (Basel). 2020 May 27;12(6):1371. doi: 10.3390/cancers12061371.
PMID: 32471029RESULTAlbini A, Briga D, Conti M, Bruno A, Farioli D, Canali S, Sogno I, D'Ambrosio G, Consonni P, Noonan DM. SANIST: a rapid mass spectrometric SACI/ESI data acquisition and elaboration platform for verifying potential candidate biomarkers. Rapid Commun Mass Spectrom. 2015 Oct 15;29(19):1703-10. doi: 10.1002/rcm.7270.
PMID: 26331920RESULT
Biospecimen
Inside this main study (270:540) a pilot study of 55 patients and 110 controls of same age, sex, geographic area (1:2) will be performed for analysis of metabolome, microbiota, and immune profile. At diagnosis before any treatment a blood sample will be obtained for metabolomics analyses (untargeted approach with over 100.000 of metabolites, (Mass Spectrometry method) and to evaluate lymphocyte subpopulations (CD3, CD4, CD8, NK) in blood. Microbiota will be analyzed in donated stool samples using the S16 method. All data will be analyzed for inter-correlations among the different parameters and to investigate putative associations with Food Frequency questionnaires and anthropometric data.
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Alessandra Longhi, MD
Istituto Ortopedico Rizzoli - Bologna
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Target Duration
- 4 Years
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
December 22, 2020
First Posted
February 3, 2021
Study Start
March 10, 2021
Primary Completion
December 31, 2024
Study Completion
December 31, 2024
Last Updated
August 4, 2023
Record last verified: 2023-08