Prediction in Silico of Pathological Response in a Prospective Cohort Study of Early Breast Cancer Patients

ConditionBreast Cancer
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorInstitut Cancerologie de l'Ouest

About this trial

Breast cancer (BC) is the most common cancer in women in France with nearly 58,500 new cases and 12,150 deaths estimated in 2018 .

Two major achievements have been made in the last five years for breast cancer patients. The first is therapeutic with the approval of immune checkpoint inhibitors in advanced and early triple-negative BC (TNBC) and the impressive efficacy of new antibody-drug conjugated in all BC subtypes. The second is conceptual with the generalization of adaptive therapeutic strategies guided by pathological responses after neoadjuvant therapy in early TNBC, HER2+, HR+ and BRCA mutated breast cancer. This new paradigm in the treatment of cancer patients completely redefined prognostic factors that were previously established with conventional approaches Pathological response remains a major prognostic factor especially for TNBC and HER2 early breast cancer. However, this parameter is evaluated at the end of neoadjuvant treatment and for patients with residual disease, the prognosis remains poor despite some adaptative strategies.

Our project is to integrate massive and heterogeneous data concerning the disease (clinical and biological data, imaging and histological results (with multi-omics data)) and patient's environment, personal and familial history. These data are multiple and have dynamic interactions overtime. With the help of mathematical units with biological competences and scientific collaborations, our project is to improve the prediction of treatment response, based on clinical and molecular heterogeneous big data investigation.

The main objective of this project is to set up a clinicobiological database prospectively by collecting prospective clinical, biological, pathological and multi-omic data from 300 Patients with early BC treated at the ICO in order to define an algorithm of individual decision for the prediction of the response to this treatment.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Written informed consent obtained from the patient prior to performing any protocol-related procedures, including screening biopsy, blood samples and questionnaires

18 years old or at time of written consent

Patient with histologically confirmed breast cancer

Absence of metastatic disease

Disqualifiers

Other malignancy treated within the last 5 years (except non-melanoma skin cancer or in situ carcinoma of the cervix)

Non epithelial breast cancer

Coagulopathy or other pathology that contraindicates biopsy procedures

Pregnant or nursing patient

Trial design

Design model

Parallel

Treatments tested in this trial

  • Biopsy

    Procedure/Surgery

    biopsy will be performed for multi-omicanalysis at inclusion before initiation of treatment

  • Blood samples

    Procedure/Surgery

    Centralized blood samples will be performed at inclusion + evaluation visits

  • Questionnaires

    Behavioral

    Food inquiry + food-frequency questionnaire + physical activity questionnaire will be performed at inclusion

Treatment groups

300 Participants
are divided into 3 treatment groups
Group A: cohort: triple negative breast cancerExperimental treatment 3 interventions
Group B: cohort: HER2+ breast cancerExperimental treatment 3 interventions
Group C: cohort: ER/PR+ /HER2- breast cancerExperimental treatment 3 interventions

Trial outcomes

Primary outcomes

1

The accurancy predictive parameters for complete pathological response (pCR) after neoadjuvant chemotherapy

The primary endpoint is the predictive yield of complete pathological response (pCR) after the neoaduvant treatment

Time frame
6 months after the initiation of neoadjuvant chemotherapy
2

To determine the rate of Event Free Survival

The primary endpoint is the predictive yield of Event Free Survial up to 5 years

Time frame
5 years after the initiation of treatment
3

To determine the rate of Overall Survival

The primary endpoint is the predictive yield of overall Survival up to 5 years

Time frame
5 years after the initiation of treatment

Secondary outcomes

Other outcomes

Sponsors and contacts

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