search
Back to results

Digital Phenotyping in Young Breast Cancer Patients Treated With Neoadjuvant Chemotherapy (NeoFit)

Primary Purpose

Breast Cancer

Status
Recruiting
Phase
Not Applicable
Locations
France
Study Type
Interventional
Intervention
Activity tracker
Sponsored by
Institut Curie
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional supportive care trial for Breast Cancer focused on measuring neoadjuvant, digital, prevention, activity tracker

Eligibility Criteria

18 Years - 70 Years (Adult, Older Adult)FemaleDoes not accept healthy volunteers

Inclusion criteria :

  • female
  • ≥ 18 years old and <70 years old
  • histologically confirmed BC, whatever the histological subtype (hormone receptor positive (RH+), negative (RH-), with (HER2+) overexpression or without (HER2-) HER2 overexpression, or triple negative)
  • planned NAC (up to the day of the first neoadjuvant chemotherapy treatment)
  • Eastern Cooperative Oncology Group Performance status ≤2
  • willing to participate for the entire duration of the study
  • ability to use a compatible smartphone or Tablet PC to download the application Withings Health Mate (from iOS 10 and Android 5.0 or above)
  • Internet access
  • valid health insurance
  • able to read, write and understand French

Exclusion criteria :

  • presence of metastases
  • Presence of bilateral breast cancer
  • a history of cancer other than basal cell skin lesions and cervical dysplasia
  • pregnancy, likelihood of pregnancy, or breastfeeding
  • impossibility of follow-up throughout the study for medical, social, family, geographic or psychological reasons
  • deprived of liberty through a judicial or administrative decision.

Sites / Locations

  • Institut CurieRecruiting
  • Institut Jean GodinotRecruiting
  • Institut CurieRecruiting

Arms of the Study

Arm 1

Arm Type

Experimental

Arm Label

Intervention with activity tracker

Arm Description

Women allocated to the intervention arm will used an activity tracker

Outcomes

Primary Outcome Measures

Describe physical activity profiles in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
The activity tracker will register step counts for each day. the investigators will plot the average daily step counts and the 95% confidence interval across the entire study period. Then will will study the change in step count trajectory during the study. Linear mixed model will be used for describing change over time
Describe heart rate profiles in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
The activity tracker will register heart rate at 10-minute intervals for each day. The investigators will plot the average heart rate frequency and the 95% confidence interval across the entire study period. Then will will study the change in heart rate frequency trajectory during the study. Linear mixed model will be used for describing change over time
Describe sleep profiles in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
The activity tracker will register sleep duration for each day. The investigators will plot the average sleep duration and the 95% confidence interval across the entire study period. Then will tudy the change in sleep duration trajectory during the study. Linear mixed model will be used for describing change over time
Identify digital profiles (physical activity, heart rate, sleep) in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
To identify digital profiles, The investigators will combine step counts profiles, heart frequency profiles and sleep profiles using mixed models with latent classes. The use of a mixed model will make it possible to analyze repeat data for the population, and to determine an average profile or trajectory for the whole population. The optimal number of classes will be determined a posteriori, based on a set of statistical and clinical criteria. The most widely used statistical criterion is the "Bayesian information criterion" (BIC), which penalizes the model's likelihood according to its complexity. The BIC, which is stricter than many other criteria, has been shown to have a better performance in simulations. The number of trajectories will also be based on clinical interpretation (whether it is worthwhile retaining classes containing very small numbers of subjects, etc.).

Secondary Outcome Measures

Analyze the effects of digital profiles on treatment toxicity
Occurence of severe toxicity (grade >2) according to the National Cancer Institute's Common Terminology Criteria for Adverse Events (NCI-CTCAE) Tests will be performed to compare means (Student's t test), or categorical variables (chi2test). The investigators will also perform multinomial logistic regression analyses with univariate and multivariate models, to determine the probability of belonging to a class relative to the corresponding reference class
Analyze the effects of digital profiles on quality of life
Quality of life will be assessed with the European Organisation for Research and Treatment of Cancer (EORTC QLQ-C30) Quality of Life Questionnaire (EORTC QLQ-C30) version 3 validated in 2000, a multidimensional questionnaire validated for use with cancer patients. The QLQC30 questionnaire contains 30 items assessing five functional domains (physical, role, emotional, cognitive, and social), one overall quality-of-life domain, three symptom domains (pain, fatigue and nausea), and six individual items (dyspnea, insomnia, anorexia, diarrhea, constipation, and financial impact). Participants will respond on a Likert scale ranging from "not at all" to "very much" and from "very poor" to "excellent" for the overall quality-of-life questions only. Scores will be standardized on a scale of 0 to 100, according to the EORTC scoring manual. Higher scores correspond to better functioning, a better overall quality of life and more symptoms.
Analyze the effects of digital profiles on fatigue
The multidimensional aspects of fatigue will be evaluated with the EORTC QLQ-FA12 version 1 module, which was validated for cancer-related fatigue in 2017. EORTC QLQ-FA12 contains 12 items assessing the physical, cognitive, and emotional domains of cancer-related fatigue. Participants will complete a four-point Likert-scale questionnaire, with responses ranging from "not at all" to "very much". All scores will be transformed to a scale of 0 to 100, with higher scores indicating a greater degree of fatigue. The estimated completion time for this questionnaire is five minutes. Tests will be performed to compare means (Student's t test), or categorical variables (chi2test). The investigators will also perform multinomial logistic regression analyses with univariate and multivariate models, to determine the probability of belonging to a class relative to the corresponding reference class
Develop models for predicting toxicity during the course of treatment
The prediction of treatment toxicity will be assessed by CTCAE v4.0.
Develop models for predicting fatigue changes during the course of treatment
The prediction of fatigue will be assessed by change from baseline in fatigue scores on FA12 questionnaire and at the end of the neoadjuvant chemotherapy and at 12 months..
Develop models for predicting quality of life changes during the course of treatment
The prediction of a deterioration of the quality of life will be assessed by change in the global score in EORTC QLQC30 questionnaire from baseline and at the end of the neoadjuvant chemotherapy and at 12 months..

Full Information

First Posted
July 19, 2021
Last Updated
September 4, 2023
Sponsor
Institut Curie
search

1. Study Identification

Unique Protocol Identification Number
NCT05011721
Brief Title
Digital Phenotyping in Young Breast Cancer Patients Treated With Neoadjuvant Chemotherapy
Acronym
NeoFit
Official Title
Digital Phenotyping (Physical Activity, Heart Rate, Sleep) in Young Breast Cancer Patients Treated With Neoadjuvant Chemotherapy
Study Type
Interventional

2. Study Status

Record Verification Date
August 2023
Overall Recruitment Status
Recruiting
Study Start Date
September 20, 2021 (Actual)
Primary Completion Date
September 2024 (Anticipated)
Study Completion Date
September 2025 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Institut Curie

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes

5. Study Description

Brief Summary
NeoFit is a prospective, national, multicenter, single-arm open-label study. It will include a total of 300 participants under the age of 70 years treated with neoadjuvant chemotherapy for BC. Participants will receive a Withing Steel HR activity tracker, which they will be asked to wear 24 h per day for 12 months. The principal assessments will be performed at baseline, at the end of neoadjuvant chemotherapy and at 12 months. The investigators will evaluate clinical (e.g. toxicity, efficacy of chemotherapy), lifestyle, quality of life, fatigue, and physical activity parameters. All questionnaires will be completed on a REDCap form, via a secure internet link.
Detailed Description
BACKGROUND: In young women, breast cancer (BC) has particular characteristics, such as a more advanced stage at diagnosis, aggressive tumor characteristics, and a poorer prognosis. NeoFit aims to use an activity tracker to identify and describe various digital profiles (physical activity, heart rate, sleep) in women under 70 years of age treated with neoadjuvant chemotherapy for BC. METHODS: NeoFit is a prospective, national, multicenter, single-arm open-label study. It will include a total of 300 participants under the age of 70 years treated with neoadjuvant chemotherapy for BC. Participants will receive a Withing Steel HR activity tracker, which they will be asked to wear 24 h per day for 12 months. The principal assessments will be performed at baseline, at the end of neoadjuvant chemotherapy and at 12 months. The investigators will evaluate clinical (e.g. toxicity, efficacy of chemotherapy), lifestyle, quality of life, fatigue, and physical activity parameters. All questionnaires will be completed on a REDCap form, via a secure internet link. DISCUSSION: NeoFit will make it possible, through the use of an activity tracker, to visualize changes, over a one-year period, in the lifestyle of young women treated for BC by neoadjuvant chemotherapy. This exploratory study will provide fundamental knowledge about the digital phenotypes of young BC patients treated with NAC and their relationships to chemotherapy toxicity and efficacy. This trial will pave the way for interventional studies on physical activity and sleep interventions.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Breast Cancer
Keywords
neoadjuvant, digital, prevention, activity tracker

7. Study Design

Primary Purpose
Supportive Care
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
N/A
Enrollment
300 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Intervention with activity tracker
Arm Type
Experimental
Arm Description
Women allocated to the intervention arm will used an activity tracker
Intervention Type
Device
Intervention Name(s)
Activity tracker
Intervention Description
Participants will receive a Withings Steel HR activity tracker (Withings, Issy-les-Moulineaux, France), which they will be asked to wear 24 hours per day throughout the whole intervention (12 months). At baseline, the Withings Health Mate mobile phone application will be downloaded onto each participant's smartphone or tablet. The clinical research assistant will instruct the participant in the use of the activity tracker. The participant will then accept and activate the sharing of the data collected with the secure server dedicated to the "NeoFit" study at the Institut Curie. Participants will be asked to synchronize the activity tracker regularly (ideally daily) via Bluetooth with the Withings Health Mate application, for automatic transfer of the data to the secure "NeoFit" space.
Primary Outcome Measure Information:
Title
Describe physical activity profiles in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
Description
The activity tracker will register step counts for each day. the investigators will plot the average daily step counts and the 95% confidence interval across the entire study period. Then will will study the change in step count trajectory during the study. Linear mixed model will be used for describing change over time
Time Frame
Month 12
Title
Describe heart rate profiles in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
Description
The activity tracker will register heart rate at 10-minute intervals for each day. The investigators will plot the average heart rate frequency and the 95% confidence interval across the entire study period. Then will will study the change in heart rate frequency trajectory during the study. Linear mixed model will be used for describing change over time
Time Frame
Month 12
Title
Describe sleep profiles in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
Description
The activity tracker will register sleep duration for each day. The investigators will plot the average sleep duration and the 95% confidence interval across the entire study period. Then will tudy the change in sleep duration trajectory during the study. Linear mixed model will be used for describing change over time
Time Frame
Month 12
Title
Identify digital profiles (physical activity, heart rate, sleep) in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
Description
To identify digital profiles, The investigators will combine step counts profiles, heart frequency profiles and sleep profiles using mixed models with latent classes. The use of a mixed model will make it possible to analyze repeat data for the population, and to determine an average profile or trajectory for the whole population. The optimal number of classes will be determined a posteriori, based on a set of statistical and clinical criteria. The most widely used statistical criterion is the "Bayesian information criterion" (BIC), which penalizes the model's likelihood according to its complexity. The BIC, which is stricter than many other criteria, has been shown to have a better performance in simulations. The number of trajectories will also be based on clinical interpretation (whether it is worthwhile retaining classes containing very small numbers of subjects, etc.).
Time Frame
Month 12
Secondary Outcome Measure Information:
Title
Analyze the effects of digital profiles on treatment toxicity
Description
Occurence of severe toxicity (grade >2) according to the National Cancer Institute's Common Terminology Criteria for Adverse Events (NCI-CTCAE) Tests will be performed to compare means (Student's t test), or categorical variables (chi2test). The investigators will also perform multinomial logistic regression analyses with univariate and multivariate models, to determine the probability of belonging to a class relative to the corresponding reference class
Time Frame
End of neoadjuvant chemotherapy, Month 12
Title
Analyze the effects of digital profiles on quality of life
Description
Quality of life will be assessed with the European Organisation for Research and Treatment of Cancer (EORTC QLQ-C30) Quality of Life Questionnaire (EORTC QLQ-C30) version 3 validated in 2000, a multidimensional questionnaire validated for use with cancer patients. The QLQC30 questionnaire contains 30 items assessing five functional domains (physical, role, emotional, cognitive, and social), one overall quality-of-life domain, three symptom domains (pain, fatigue and nausea), and six individual items (dyspnea, insomnia, anorexia, diarrhea, constipation, and financial impact). Participants will respond on a Likert scale ranging from "not at all" to "very much" and from "very poor" to "excellent" for the overall quality-of-life questions only. Scores will be standardized on a scale of 0 to 100, according to the EORTC scoring manual. Higher scores correspond to better functioning, a better overall quality of life and more symptoms.
Time Frame
End of neoadjuvant chemotherapy, Month 12
Title
Analyze the effects of digital profiles on fatigue
Description
The multidimensional aspects of fatigue will be evaluated with the EORTC QLQ-FA12 version 1 module, which was validated for cancer-related fatigue in 2017. EORTC QLQ-FA12 contains 12 items assessing the physical, cognitive, and emotional domains of cancer-related fatigue. Participants will complete a four-point Likert-scale questionnaire, with responses ranging from "not at all" to "very much". All scores will be transformed to a scale of 0 to 100, with higher scores indicating a greater degree of fatigue. The estimated completion time for this questionnaire is five minutes. Tests will be performed to compare means (Student's t test), or categorical variables (chi2test). The investigators will also perform multinomial logistic regression analyses with univariate and multivariate models, to determine the probability of belonging to a class relative to the corresponding reference class
Time Frame
End of neoadjuvant chemotherapy, Month 12
Title
Develop models for predicting toxicity during the course of treatment
Description
The prediction of treatment toxicity will be assessed by CTCAE v4.0.
Time Frame
End of the neoadjuvant chemotherapy, Month 12
Title
Develop models for predicting fatigue changes during the course of treatment
Description
The prediction of fatigue will be assessed by change from baseline in fatigue scores on FA12 questionnaire and at the end of the neoadjuvant chemotherapy and at 12 months..
Time Frame
End of the neoadjuvant chemotherapy, Month 12
Title
Develop models for predicting quality of life changes during the course of treatment
Description
The prediction of a deterioration of the quality of life will be assessed by change in the global score in EORTC QLQC30 questionnaire from baseline and at the end of the neoadjuvant chemotherapy and at 12 months..
Time Frame
End of the neoadjuvant chemotherapy, Month 12

10. Eligibility

Sex
Female
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
70 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion criteria : female ≥ 18 years old and <70 years old histologically confirmed BC, whatever the histological subtype (hormone receptor positive (RH+), negative (RH-), with (HER2+) overexpression or without (HER2-) HER2 overexpression, or triple negative) planned NAC (up to the day of the first neoadjuvant chemotherapy treatment) Eastern Cooperative Oncology Group Performance status ≤2 willing to participate for the entire duration of the study ability to use a compatible smartphone or Tablet PC to download the application Withings Health Mate (from iOS 10 and Android 5.0 or above) Internet access valid health insurance able to read, write and understand French Exclusion criteria : presence of metastases Presence of bilateral breast cancer a history of cancer other than basal cell skin lesions and cervical dysplasia pregnancy, likelihood of pregnancy, or breastfeeding impossibility of follow-up throughout the study for medical, social, family, geographic or psychological reasons deprived of liberty through a judicial or administrative decision.
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Fabien Reyal, MD
Phone
+33144324660
Email
fabien.reyal@curie.fr
First Name & Middle Initial & Last Name or Official Title & Degree
Jean-Guillaume Feron, MD
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Fabien Reyal, MD
Organizational Affiliation
Institut Curie
Official's Role
Principal Investigator
Facility Information:
Facility Name
Institut Curie
City
Paris
ZIP/Postal Code
75005
Country
France
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Jean-Guillaume Feron, MD
Email
jeanguillaume.feron@curie.fr
First Name & Middle Initial & Last Name & Degree
Fabien Reyal, MD
Email
fabien.reyal@curie.fr
Facility Name
Institut Jean Godinot
City
Reims
ZIP/Postal Code
51100
Country
France
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Fabien REYAL, MD
Phone
03 26 50 44 44
Email
fabien.reyal@reims.unicancer.fr
First Name & Middle Initial & Last Name & Degree
Fabien REYNAL, MD
Facility Name
Institut Curie
City
Saint-Cloud
ZIP/Postal Code
92
Country
France
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Florence LEREBOURS, MD
Phone
01 47 11 15 15
Email
florence.lerebours@curie.fr
First Name & Middle Initial & Last Name & Degree
Florence LEREBOURS, MD

12. IPD Sharing Statement

Plan to Share IPD
No
Citations:
PubMed Identifier
35509030
Citation
Delrieu L, Hamy AS, Coussy F, Kassara A, Asselain B, Antero J, De Villele P, Dumas E, Forstmann N, Guerin J, Hotton J, Jouannaud C, Milder M, Leopold A, Sedeaud A, Soibinet P, Toussaint JF, Vercamer V, Laas E, Reyal F. Digital phenotyping in young breast cancer patients treated with neoadjuvant chemotherapy (the NeoFit Trial): protocol for a national, multicenter single-arm trial. BMC Cancer. 2022 May 4;22(1):493. doi: 10.1186/s12885-022-09608-y.
Results Reference
background

Learn more about this trial

Digital Phenotyping in Young Breast Cancer Patients Treated With Neoadjuvant Chemotherapy

We'll reach out to this number within 24 hrs