Development of a Response Signature to Neoadjuvant Chemotherapy for Breast Cancer
Breast-sign
1 other identifier
interventional
220
1 country
1
Brief Summary
Breast cancer is the most frequent cancer in women. It is often treated with neoadjuvant chemotherapy, administered before surgical resection. Unfortunately, many patients do not respond to this treatment, or only respond partially. Clinicians therefore need predictive biomarkers of treatment response. Thanks to an innovative technique, called CATS, this study aims at identifying blood and tissue biomarkers which are predictive of response to chemotherapy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable breast-cancer
Started Aug 2017
1 active site
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
Study Start
First participant enrolled
August 7, 2017
CompletedFirst Submitted
Initial submission to the registry
September 23, 2017
CompletedFirst Posted
Study publicly available on registry
October 19, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2019
CompletedJuly 15, 2019
July 1, 2019
2.4 years
September 23, 2017
July 12, 2019
Conditions
Outcome Measures
Primary Outcomes (1)
The number of molecular signatures predictive of response to neoadjuvant chemotherapy which would be able to discriminate between patient groups based on their epithelio-mesenchymal transition status and their immune status.
an average of 2 years
Study Arms (2)
Retrospective study
OTHERTumoral tissue of 100 patients with breast cancer treated with neoadjuvant chemotherapy.
Prospective study
OTHERTumoral tissue and plasma of 120 patients with breast cancer treated with neoadjuvant chemotherapy.
Interventions
To identify molecular signatures of EMT / immune status by using the random forest algorithm. The best signature will be measured by RT-qPCR and/or CATS-RNASeq technics.
Eligibility Criteria
You may qualify if:
- Women and men with breast cancer
- Treated with neoadjuvant chemotherapy
You may not qualify if:
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cliniques universitaires Saint-Luc
Brussels, 1200, Belgium
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
François DUHOUX, MD, PhD
francois.duhoux@uclouvain.be
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 23, 2017
First Posted
October 19, 2017
Study Start
August 7, 2017
Primary Completion
December 31, 2019
Study Completion
December 31, 2019
Last Updated
July 15, 2019
Record last verified: 2019-07
Data Sharing
- IPD Sharing
- Will not share
There is no IPD