Pilot Study With the Aim to Quantify a Stress Protein in the Blood and in the Urine for the Monitoring and Early Diagnosis of Malignant Solid Tumors

Study Overview
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Brief Summary
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Recent studies shows that extracellular vesicles (named exosomes) released by cancer cells exhibit at their membrane the stress protein HSP70, contrary to exosomes released by normal cells. These exosomes (HSP70-exosomes) have a very important role in intercellular communication and have specific biological functions that can promote tumor progression. They are found in the different biological fluids such as blood and urine. We have developed a protocol able to isolate exosomes in blood and urine. We also demonstrated that only exosomes derived from cancer cell have HSP70 at their membrane. Those results strongly suggest that we can only identify exosomes with HSP70 at the membrane in patients with cancer. Detection of HSP70-exosomes in the diagnosis of patients is a promising pathway of research. Because a cancer cell can releases a large amount of exosomes (several billion) and since its appearance, our approach will allow to earlier detect cancer with respect to the use of imaging and circulating tumor cells (CTCs), which remains a rare event (about one CTC of 1 billion cells). The aim of this study is to demonstrate that HSP70-exosomes could be used for early diagnosis of patients with malignant solid tumor. In order to demonstrate this, the objective of the study is to study blood and urine samples from 60 subjects with a malignant tumor and 20 healthy subjects (witness).

Official Title
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Pilot Study With the Aim to Quantify a Stress Protein in the Blood and in the Urine for Early Diagnosis of Malgnant Solid Tumors

Conditions
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Cancer

Intervention / Treatment
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* Other: blood samples
* Other: Urine samples


Participation Criteria
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Eligibility Criteria
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Inclusion criteria for patients Women newly diagnosed with either: Infiltrating non-metastatic breast cancer (positive or negative HER2 status or hormone therapy) Breast cancer with a first metastasis evolution (positive or negative HER2 status or hormone therapy). Ovarian cancer stage III and IV, Men and women who are newly diagnosed non-small cell lung cancer metastatic, Age ≥18 years Affiliation to a social security system, Signed Informed consent. Exclusion Criteria for patients: Patient with another synchronous tumor, Men with breast cancer, Positive HIV and / or HBV and / or HCV serology Patients unable to undergo a medical monitoring for geographical, social or psychological condition, Pregnant or nursing women, People enjoying a major protection system (including trusteeship and guardianship). Inclusion criteria for healthy volonter Men or women aged 50-70 years (mean age of onset of various cancers in the study) Affiliation to a social security system, Signed Informed consent. Exclusion criteria for healthy volonter history of cancer, Positive HIV and / or HBV and / or HCV serology Pregnant or nursing women, People enjoying a major protection system (including trusteeship and guardianship).

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Diagnostic
Allocation: Non-Randomized
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Other: ill patient<br>Patient with a cancer disease | Other: blood samples<br> <br> Other: Urine samples<br> <br> |
| Other: Healthy volunter<br>Subject without any cancer pathology | Other: blood samples<br> <br> Other: Urine samples<br> <br> |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| concentration of HSP70 exosomes in the blood and urine |  | 1 year | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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personalized care, early diagnosis, ovarian cancer, breast cancer, lung cancer, Early Detection, Cancer [E01.390.500]