- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07500129
Tissue- and Serum-Derived Exosomal microRNAs as Predictors of Neoadjuvant Chemotherapy Response in Breast Cancer (ExoTSS-BC)
Clinical and Mechanistic Validation of a Tumor-Derived Extracellular Vesicle-Associated miRNA Signature Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer
This prospective observational study aims to evaluate whether exosomal microRNA profiles derived from tumor tissue and blood serum are associated with pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in patients with breast cancer.
Breast cancer patients with similar clinical and pathological features may respond differently to treatment, underscoring the need for reliable biomarkers that can help predict therapeutic outcomes. Exosomes are small extracellular vesicles released by tumor cells that carry molecular signals, including microRNAs, which may reflect tumor behavior and treatment sensitivity.
In this study, patients with breast cancer receiving standard NAC as part of routine clinical care will be followed prospectively. Exosomal microRNA profiles obtained from tumor tissue and blood samples collected during routine diagnostic and treatment procedures will be analyzed and compared with pathological complete response (pCR) assessed after completion of neoadjuvant chemotherapy.
A group of patients with benign breast disease will be included as a reference control for comparative analyses.
The results of this study may contribute to the identification of minimally invasive biomarkers that support personalized treatment strategies in breast cancer.
Study Overview
Status
Detailed Description
This prospective, multicenter, non-interventional observational study is designed to investigate tissue- and serum-derived exosomal microRNA profiles and their association with pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer (LABC).
Although established clinicopathological parameters, including hormone receptor status, Human Epidermal Growth Factor Receptor 2 (HER2) expression, and Ki-67 index, are routinely used to stratify breast cancer subtypes and provide important prognostic and predictive information, inter-patient variability in treatment response remains substantial. These parameters do not fully capture the dynamic biological heterogeneity of tumors or reliably predict individual response to neoadjuvant chemotherapy in all patients. This underscores the need for additional, minimally invasive molecular biomarkers that may complement existing clinicopathological factors and better reflect tumor biology, thereby supporting personalized therapeutic strategies.
Exosomes are small extracellular vesicles released by tumor and stromal cells that carry molecular cargo, including microRNAs, which reflect the biological activity of their cells of origin. Due to their stability and detectability in both tumor tissue and peripheral blood, exosomal microRNAs represent promising candidates for monitoring treatment response and identifying mechanisms of chemotherapy sensitivity or resistance.
In this study, patients with histologically confirmed locally advanced breast cancer who are scheduled to receive standard-of-care neoadjuvant chemotherapy will be prospectively enrolled. The study is strictly observational, and no additional interventions, blood draws, tissue biopsies, or sample collection procedures will be performed for research purposes. Exosomal miRNA analyses will be conducted exclusively on residual serum samples obtained during routine clinical blood tests and leftover tumor tissue collected for diagnostic or surgical purposes as part of standard clinical care.
Exosomal microRNA expression profiles derived from tissue and serum samples will be analyzed using molecular techniques and correlated with pathological complete response (pCR) following completion of neoadjuvant chemotherapy. Pathological response will be evaluated using established tumor regression grading systems, including pathological complete response (pCR) and standardized tumor regression grading criteria.
In addition, residual samples obtained from patients with histologically confirmed benign breast lesions will be included as a reference control group to assess the specificity of molecular alterations observed in malignant disease.
The primary objective of the study is to evaluate whether tissue- and serum-derived exosomal microRNA expression patterns are associated with pathological complete response (pCR) to neoadjuvant chemotherapy. Secondary objectives include comparing tissue- and serum-based exosomal microRNA profiles, exploring associations with clinicopathological variables, and assessing the potential of exosomal microRNAs as predictive biomarkers of treatment sensitivity or resistance.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Emine Yildirim, MD
- Phone Number: +905056234825
- Email: opdreyildirim@gmail.com
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Female patients aged 18 years or older will be enrolled into two cohorts:
- patients with histologically confirmed breast cancer who are scheduled to receive neoadjuvant chemotherapy, and
- patients with histologically confirmed benign breast disease. Participants will be recruited from multiple clinical centers.
Only leftover tumor tissue and serum samples obtained during routine diagnostic or therapeutic procedures will be used for exosomal microRNA analysis.
Description
Inclusion Criteria:
- Female patients aged 18 years or older
- Histologically confirmed locally advanced breast cancer scheduled to receive neoadjuvant chemotherapy
- Availability of residual tumor tissue and/or serum samples obtained during routine clinical care
- Ability to provide written informed consent
Exclusion Criteria:
- Male sex
- Age under 18 years
- Prior systemic chemotherapy or radiotherapy administered for the current breast disease before enrollment.
- Evidence of metastatic disease at diagnosis (for breast cancer cohort)
- Pregnancy or breastfeeding
- Any condition that precludes the availability or adequate quality of tissue or blood samples for research purposes
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
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Breast Cancer + NAC Cohort
Patients with histologically confirmed locally advanced breast cancer who are scheduled to receive standard-of-care neoadjuvant chemotherapy.
No additional tissue or blood samples will be collected for research purposes; only residual tumor tissue and serum obtained during routine clinical care will be used for exosomal microRNA analysis.
Molecular findings will be correlated with pathological complete response (pCR) after treatment.
|
|
Benign Breast Disease Control Cohort
Patients with histologically confirmed benign breast lesions.
No additional tissue or blood samples will be collected for research purposes; only residual tissue and serum obtained during routine diagnostic or therapeutic procedures will be used for exosomal microRNA profiling to serve as a non-malignant control group.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Pathological complete response (pCR) rate after neoadjuvant chemotherapy
Time Frame: At time of surgery, after completion of neoadjuvant chemotherapy (approximately 4-8 months after baseline)
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The primary outcome is pathological complete response (pCR), defined as the absence of residual invasive cancer in the breast and axillary lymph nodes (ypT0/is, ypN0), assessed using standard pathological evaluation after completion of neoadjuvant chemotherapy.
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At time of surgery, after completion of neoadjuvant chemotherapy (approximately 4-8 months after baseline)
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Baseline exosomal microRNA expression levels in breast tissue and serum
Time Frame: Baseline
|
Exosomal microRNA expression levels will be measured in tumor tissue and serum samples collected at baseline using standardized molecular analysis methods (e.g., qRT-PCR or RNA sequencing).
Expression levels will be quantitatively analyzed and compared across pathological response categories (pathological complete response, partial response, and no response).
|
Baseline
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Differences in exosomal microRNA expression between malignant and benign breast disease
Time Frame: Baseline
|
Exploratory analyses will be conducted to identify tissue- and serum-derived exosomal microRNAs with potential predictive value for response to neoadjuvant chemotherapy in breast cancer.
Differential expression analysis will be performed to identify candidate microRNA signatures associated with malignancy.
|
Baseline
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: EMİNE YILDIRIM, Atlas University Faculty of Medicine
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- BreastExoTSS-microRNA
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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