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Search for Predictive Factors of Resistance to Treatment for Metastatic Castration-resistant Prostate Cancer by Studying the Expression of microRNAs

Search for Predictive Factors of Resistance to Treatment for Metastatic Castration-resistant Prostate Cancer by Studying the Expression of microRNAs

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04662996
Acronym
MiR_CPMRC
Enrollment
33
Registered
2020-12-10
Start date
2021-06-23
Completion date
2023-11-30
Last updated
2026-02-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

MicroRNAs, Prostate Cancer, Resistance, Disease

Brief summary

Several drugs are available for metastatic castration resistant prostate cancer such as chemotherapy (docetaxel, cabazitaxel) and novel hormonal agents (abiraterone, enzalutamide), in France. The oncologist has to choose between those two type of treatment, without any biological predictor of efficacy for his patient. It is always difficult to choose knowing that 30 to 50% of patients won't benefit from the treatment chosen. It shows why resistant mechanisms to treatment need to be elucidated. MicroRNA (miR) are short RNA, implicated in messenger ribonucleic acid (mRNA) regulation. Evidence is emerging that miR is implicated in prostate cancer response to treatment. It would be interesting to determine if a miR profile can predict treatment response to chemotherapy and/or to novel hormonal agents.

Detailed description

Several drugs are available for metastatic castration resistant prostate cancer such as chemotherapy (docetaxel, cabazitaxel) and novel hormonal agents (abiraterone, enzalutamide), in France. The oncologist has to choose between those two type of treatment, without any biological predictor of efficacy for his patient. It is always difficult to choose knowing that 30 to 50% of patients won't benefit from the treatment chosen. It shows why resistant mechanisms to treatment need to be elucidated. MicroRNA (miR) are short RNA, implicated in messenger ribonucleic acid (mRNA) regulation. Evidence is emerging that miR is implicated in prostate cancer response to treatment. It would be interesting to determine if a miR profile can predict treatment response to chemotherapy and/or to novel hormonal agents.

Interventions

BIOLOGICALBlood sample

one blood sample is done before beginning a first treatment line for a metastatic castration resistant prostate cancer

Sponsors

University Hospital, Tours
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
QUADRUPLE (Subject, Caregiver, Investigator, Outcomes Assessor)

Intervention model description

Intervention: blood sample at inclusion. primary purpose: to better understand resistance mechanisms to prostate cancer treatment.

Eligibility

Sex/Gender
MALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* prostate adenocarcinoma * metastatic disease, proven (CT or bone scintigraphy or MRI or positron emission tomography(PET)-CT or X ray) * castration resistance, proven with biology or radiologic progression * affiliated to a french social security regimen

Exclusion criteria

* other cancer within five years * any judiciary protection measure

Design outcomes

Primary

MeasureTime frameDescription
miRNA and chemotherapy30 monthsmiRNA expression profile predicting resistance to chemotherapy
miRNA and novel hormonal agent (NHA)30 monthsmiRNA expression profile predicting resistance to novel hormonal agents

Secondary

MeasureTime frameDescription
miRNA and progression free survival (PFS)30 monthscorrelation between miRNA profile and progression free survival
miRNA and overall survival (OS)30 monthscorrelation between miRNA profile and overall survival
miRNA in tissue sample30 monthscomparison between miRNA expression in serum and in tumoral tissue

Countries

France

Contacts

STUDY_DIRECTORMathilde CANCEL, MD

University Hospital, Tours

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 13, 2026