Evaluating Whether Integration of Prognostic and Predictive Algorithms Into Routine Clinical Practice Effect Whether Oncologists Order Multigene Assays in Patients With Early Stage Breast Cancer (REaCT-Algorith)

December 5, 2025 updated by: Ottawa Hospital Research Institute

A Multi-centre, Prospective, Observational Study Evaluating Whether Integration of Prognostic and Predictive Algorithms Into Routine Clinical Practice Effect Whether Oncologists Order Multigene Assays in Patients With Early Stage Breast Cancer

A broad range of prognostic and predictive tools are available for patients with newly diagnosed early stage breast cancer. These range from free and publicly available mathematical algorithms, through to expensive genomic tests. It is not known how the use of these different scores affects physician decision making with respect to ordering genomic tests, nor how well these algorithms predict for the results of Oncotype DX ® in the real-world setting. This pragmatic study will help to answer these questions.

Study Overview

Status

Completed

Conditions

Detailed Description

A broad range of prognostic and predictive tools are available for patients with newly diagnosed early stage hormone receptor positive, Her2 negative breast cancer. These range from free and publicly available mathematical algorithms (e.g. NHS Predict, Magee formulae, Gage and Tennessee equations) that incorporate standard pathology results, through to expensive genomic tests (e.g. Oncotype DX ® and Endopredict ®). It is not known how the use of these different scores affects physician decision making with respect to ordering genomic tests, nor how well these algorithms predict for the results of Oncotype DX ® in the real-world setting. This pragmatic study will help to answer these questions.

In summary: Month 1 to 3: pathology and chemotherapy data is collected, no physician questionnaires given. Month 4 to 6: pathology and chemotherapy data collected, plus physician questionnaire administered. Intervention teaching after 6 months of study activation. Month 7 to 9: pathology and chemotherapy data collected, PREDICT 2.1 tool used, no physician questionnaire given. Month 10 to 12: pathology and chemotherapy data collected, PREDICT 2.1 tool used, plus physician questionnaire administered.

Study Type

Observational

Enrollment (Actual)

602

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Ontario
      • Kingston, Ontario, Canada, K7L 2V7
        • Kingston Health Sciences Centre
      • Kitchener, Ontario, Canada, N2G 1G3
        • Grand River Hospital
      • Markham, Ontario, Canada, L3P 7P3
        • Markham Stouffville Hospital
      • Ottawa, Ontario, Canada
        • Ottawa Hospital Research Institute
      • Thunder Bay, Ontario, Canada, P7B 6V4
        • Thunder Bay Regional Health Sciences Centre
      • Windsor, Ontario, Canada, N8W 1L9
        • Windsor Regional Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients that are eligible for Oncotype DX ® testing under current funding parameters with complete pathology reports for newly diagnosed early stage breast cancer will be eligible for this prospective trial.

Description

Inclusion Criteria:

  • Histologically confirmed primary breast cancer
  • No prior chemotherapy
  • Eligible for Oncotype DX ® testing as per current Ontario funding criteria including: ER positive, PR positive or negative, HER2 negative, lymph node status negative or micro-invasive disease, tumor >1 cm in size (or if equal or <1 cm, must be grade 2/3 or have lymph node micrometastasis).

Exclusion Criteria:

  • Neoadjuvant treatment including window of opportunity trials
  • Recurrent breast cancer

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of Participants With Oncotype DX Testing Ordered
Time Frame: 12 Months

To assess whether providing individual patient prognostic and predictive scores from PREDICT 2.1 affects the rate of subsequent requests for Oncotype DX ® testing.

This is measured as the number of participants with Oncotype DX ® testing ordered.

12 Months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Time From Resection to Treatment
Time Frame: 12 Months
To assess whether routine availability of PREDICT 2.1 affects adjuvant treatment (chemotherapy, radiation therapy and endocrine therapy). This will be done by identifying the time to starting chemotherapy, endocrine therapy or radiation therapy.
12 Months
Oncotype DX ® Cost
Time Frame: 12 Months
Prognostic risk scores, including Magee formulae, Gage and Tennessee equations will be calculated using patient and tumour characteristics. These scores will be compared with Oncotype DX ® scores when performed. These will be used to determine Oncotype DX ® cost and total health system costs and subsequent health care utilization.
12 Months
Physician Survey
Time Frame: Period 2 (Months 4-6) and Period 4 (Months 10-12)
A physician survey will be used to assess physician comfort when making systemic therapy decisions.It will determine whether the routine availability of PREDICT 2.1 score in the clinic enhanced their comfort with systemic therapy decision-making.
Period 2 (Months 4-6) and Period 4 (Months 10-12)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Arif Awan, MD, Ottawa Hospital Research Institute

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 6, 2020

Primary Completion (Actual)

May 18, 2022

Study Completion (Actual)

May 18, 2022

Study Registration Dates

First Submitted

October 1, 2019

First Submitted That Met QC Criteria

October 16, 2019

First Posted (Actual)

October 18, 2019

Study Record Updates

Last Update Posted (Estimated)

December 23, 2025

Last Update Submitted That Met QC Criteria

December 5, 2025

Last Verified

December 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • REaCT-Algorithm

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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