Study to Evaluate Patient Reported Outcome (PRO) and Physical Activity in Japanese Patients With HR+/HER2- Advanced Breast Cancer Treated With Palbociclib Plus Endocrine Therapy or Endocrine Monotherapy
JBCRG-26
Prospective, Multicenter, Observational Study to Evaluate Patient-reported Outcome and Physical Activity Using Smartphone-based Application and Wearable Device in Japanese Patients With HR+/HER2- Advanced Breast Cancer Treated With Palbociclib Plus Endocrine Therapy or Endocrine Monotherapy
1 other identifier
interventional
99
1 country
20
Brief Summary
The study is a prospective, multicenter, observational study to evaluate PRO and physical activity using smartphone-based application and wearable device in Japanese patients with HR+/HER2- advanced breast cancer (ABC). Patients will be enrolled into either palbociclib plus endocrine therapy group (Group 1) or endocrine monotherapy group (Group 2) based on the discretion of the treating physician under routine clinical practice. Total target number of patients is approximately one-hundred in this study (About 50 patients in each group). Enrolled patients will download a smartphone-based application for electronic PRO (ePRO), be provided access to and trained on the use of the application to complete baseline, weekly, and cycle-based assessments for 6 cycles (24 weeks). In addition, enrolled patients will be provided with wearable device and requested to wear the device at all-times, except of while bathing and sleeping, for 6 cycles (24 weeks).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable breast-cancer
Started Feb 2021
20 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 29, 2021
CompletedFirst Posted
Study publicly available on registry
February 3, 2021
CompletedStudy Start
First participant enrolled
February 24, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 24, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
March 24, 2023
CompletedResults Posted
Study results publicly available
November 22, 2024
CompletedNovember 22, 2024
November 1, 2024
2.1 years
January 29, 2021
March 11, 2024
November 15, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (30)
Change From Baseline in European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-30 (Items) [EORTC-QLQ-C30] Global Health Status (GHS) Sub-scale Score for Cycle 1
The EORTC-QLQ-C30 is a 30-item questionnaire to evaluate cancer participants' quality of life (QOL), and it is composed of five multi-item functional subscales (physical, role, emotional, cognitive, and social functioning), three multi-item symptom scales (fatigue, nausea/vomiting, and pain), a global health status scale (GHS)/QOL subscale, and six single item symptom scales assessing other cancer-related symptoms (dyspnea, sleep disturbance, appetite loss, constipation, diarrhea, and the financial impact of cancer). The GHS/QOL was scored on a 7-point Likert scale where 1=very much to 7=not at all. Responses to GHS/QOL subscales were converted to a 0 to 100 scale. For GHS/QOL subscale, higher scores indicated a better QOL. Baseline values were those measured between enrollment and the day before treatment start.
Baseline, Cycle 1 (1 cycle = 4 Weeks)
Change From Baseline in EORTC-QLQ-C30 GHS Sub-scale Score for Cycle 2
The EORTC-QLQ-C30 is a 30-item questionnaire to evaluate cancer participants' QOL, and it is composed of five multi-item functional subscales (physical, role, emotional, cognitive, and social functioning), three multi-item symptom scales (fatigue, nausea/vomiting, and pain), a GHS/QOL subscale, and six single item symptom scales assessing other cancer-related symptoms (dyspnea, sleep disturbance, appetite loss, constipation, diarrhea, and the financial impact of cancer). The GHS/QOL was scored on a 7-point Likert scale where 1=very much to 7=not at all. Responses to GHS/QOL subscales were converted to a 0 to 100 scale. For GHS/QOL subscale, higher scores indicated a better QOL. Baseline values were those measured between enrollment and the day before treatment start.
Baseline, Cycle 2 (1 cycle = 4 weeks)
Change From Baseline in EORTC-QLQ-C30 GHS Sub-scale Score for Cycle 3
The EORTC-QLQ-C30 is a 30-item questionnaire to evaluate cancer participants' QOL, and it is composed of five multi-item functional subscales (physical, role, emotional, cognitive, and social functioning), three multi-item symptom scales (fatigue, nausea/vomiting, and pain), a GHS/QOL subscale, and six single item symptom scales assessing other cancer-related symptoms (dyspnea, sleep disturbance, appetite loss, constipation, diarrhea, and the financial impact of cancer). The GHS/QOL was scored on a 7-point Likert scale where 1=very much to 7=not at all. Responses to GHS/QOL subscales were converted to a 0 to 100 scale. For GHS/QOL subscale, higher scores indicated a better QOL. Baseline values were those measured between enrollment and the day before treatment start.
Baseline, Cycle 3 (1 cycle = 4 Weeks)
Change From Baseline in EORTC-QLQ-C30 GHS Sub-scale Score for Cycle 4
The EORTC-QLQ-C30 is a 30-item questionnaire to evaluate cancer participants' QOL, and it is composed of five multi-item functional subscales (physical, role, emotional, cognitive, and social functioning), three multi-item symptom scales (fatigue, nausea/vomiting, and pain), a GHS/QOL subscale, and six single item symptom scales assessing other cancer-related symptoms (dyspnea, sleep disturbance, appetite loss, constipation, diarrhea, and the financial impact of cancer). The GHS/QOL was scored on a 7-point Likert scale where 1=very much to 7=not at all. Responses to GHS/QOL subscales were converted to a 0 to 100 scale. For GHS/QOL subscale, higher scores indicated a better QOL. Baseline values were those measured between enrollment and the day before treatment start.
Baseline, Cycle 4 (1 cycle = 4 Weeks)
Change From Baseline in EORTC-QLQ-C30 GHS Sub-scale Score for Cycle 5
The EORTC-QLQ-C30 is a 30-item questionnaire to evaluate cancer participants' QOL, and it is composed of five multi-item functional subscales (physical, role, emotional, cognitive, and social functioning), three multi-item symptom scales (fatigue, nausea/vomiting, and pain), a GHS/QOL subscale, and six single item symptom scales assessing other cancer-related symptoms (dyspnea, sleep disturbance, appetite loss, constipation, diarrhea, and the financial impact of cancer). The GHS/QOL was scored on a 7-point Likert scale where 1=very much to 7=not at all. Responses to GHS/QOL subscales were converted to a 0 to 100 scale. For GHS/QOL subscale, higher scores indicated a better QOL. Baseline values were those measured between enrollment and the day before treatment start.
Baseline, Cycle 5 (1 cycle = 4 Weeks)
Change From Baseline in EORTC-QLQ-C30 GHS Sub-scale Score for Cycle 6
The EORTC-QLQ-C30 is a 30-item questionnaire to evaluate cancer participants' QOL, and it is composed of five multi-item functional subscales (physical, role, emotional, cognitive, and social functioning), three multi-item symptom scales (fatigue, nausea/vomiting, and pain), a GHS/QOL subscale, and six single item symptom scales assessing other cancer-related symptoms (dyspnea, sleep disturbance, appetite loss, constipation, diarrhea, and the financial impact of cancer). The GHS/QOL was scored on a 7-point Likert scale where 1=very much to 7=not at all. Responses to GHS/QOL subscales were converted to a 0 to 100 scale. For GHS/QOL subscale, higher scores indicated a better QOL. Baseline values were those measured between enrollment and the day before treatment start.
Baseline, Cycle 6 (1 cycle = 4 Weeks)
Change From Baseline in Sedentary Time Wearing at Week 1
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 1
Change From Baseline in Sedentary Time Wearing at Week 2
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 2
Change From Baseline in Sedentary Time Wearing at Week 3
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 3
Change From Baseline in Sedentary Time Wearing at Week 4
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 4
Change From Baseline in Sedentary Time Wearing at Week 5
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 5
Change From Baseline in Sedentary Time Wearing at Week 6
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 6
Change From Baseline in Sedentary Time Wearing at Week 7
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 7
Change From Baseline in Sedentary Time Wearing at Week 8
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 8
Change From Baseline in Sedentary Time Wearing at Week 9
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 9
Change From Baseline in Sedentary Time Wearing at Week 10
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 10
Change From Baseline in Sedentary Time Wearing at Week 11
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 11
Change From Baseline in Sedentary Time Wearing at Week 12
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 12
Change From Baseline in Sedentary Time Wearing at Week 13
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 13
Change From Baseline in Sedentary Time Wearing at Week 14
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 14
Change From Baseline in Sedentary Time Wearing at Week 15
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 15
Change From Baseline in Sedentary Time Wearing at Week 16
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 16
Change From Baseline in Sedentary Time Wearing at Week 17
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 17
Change From Baseline in Sedentary Time Wearing at Week 18
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 18
Change From Baseline in Sedentary Time Wearing at Week 19
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 19
Change From Baseline in Sedentary Time Wearing at Week 20
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 20
Change From Baseline in Sedentary Time Wearing at Week 21
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 21
Change From Baseline in Sedentary Time Wearing at Week 22
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 22
Change From Baseline in Sedentary Time Wearing at Week 23
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 23
Change From Baseline in Sedentary Time Wearing at Week 24
Sedentary time was used to assess physical activity metrics. Sedentary time was derived by Actigraph's algorithm based on raw data collected by Actigraph Insight Watch. Physical activity metrics were averaged at weekly basis which included 5 or more days of wearing the device for 10 hours or longer during a day except for bedtime.
Baseline, Week 24
Secondary Outcomes (19)
Change From Baseline in EORTC-QLQ-C30 Functional Sub-scale Scores at Cycle 1, Cycle 2, Cycle 3, Cycle 4, Cycle 5, Cycle 6
Baseline, Cycle 1, Cycle 2, Cycle 3, Cycle 4, Cycle 5, Cycle 6 (each cycle=4 weeks)
Change From Baseline in EORTC-QLQ-C30 Symptomatic Sub-scale Scores at Cycle 1, Cycle 2, Cycle 3, Cycle 4, Cycle 5, Cycle 6
Baseline, Cycle 1, Cycle 2, Cycle 3, Cycle 4, Cycle 5, Cycle 6 (each cycle=4 weeks)
Change From Baseline in Steps Taken at Week 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
Baseline, Week 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
Change From Baseline for Moderate to Vigorous Physical Activity (MVPA) Time at Week 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
Baseline, Week 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
Number of Participants With Adverse Events (AEs), Serious Adverse Events (SAEs), Grade 3 or Higher AEs and Treatment Related Adverse Events
From start of study treatment up to 28 days after last dose of treatment (Up to 28 weeks)
- +14 more secondary outcomes
Study Arms (2)
Group 1
OTHERPalbociclib plus endocrine therapy
Group 2
OTHEREndocrine monotherapy
Interventions
As a low-interventional procedure, enrolled patients will be provided with wearable device and requested to wear the device at all-times, except of while bathing and sleeping, for 6 cycles (24 weeks).
Eligibility Criteria
You may qualify if:
- Adult women (≥ 20 years of age)
- Diagnosis of adenocarcinoma of the breast with evidence of metastatic disease or advanced disease not amenable to resection or radiation therapy with curative intent.
- Documented evidence of HR+/HER2- tumor based on the patient's surgical specimen or most recent tumor biopsy.
- Initiating first or second line treatment at study entry with one of the following therapies:
- palbociclib plus endocrine therapy or endocrine monotherapy
- Eastern Cooperative Oncology Group (ECOG) performance status = 0\~1.
- Owns or has regular access to an Apple iPhone or Android phone.
- Willing and able to complete collection of data via smartphone-based application.
- Willing and able to wear the wearable device for approximately 6 months.
- Evidence of a personally signed and dated informed consent document indicating that the patient has been informed of all pertinent aspects of the study.
- Able to read and understand Japanese
You may not qualify if:
- The patient is participating in any interventional clinical trial that includes investigational or marketed products. Patients participating in other investigator-initiated research or non-interventional studies can be included as long as their standard of care is not altered by the study.
- The patient is on active treatment for other malignancies other than ABC.
- The patient's life style is fluctuating in weekly-basis (eg, shift-time worker), which may have high impact on physical activity assessment based to investigator's discretion
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Pfizerlead
- Japan Breast Cancer Research Groupcollaborator
Study Sites (20)
Aichi Cancer Center Hospital
Nagoya, Aichi-ken, 464-8681, Japan
Nagoya City University Hospital
Nagoya, Aichi-ken, 467-8602, Japan
National Cancer Center Hospital East
Kashiwa, Chiba, 277-8577, Japan
Shikoku Cancer Center
Matsuyama, Ehime, 791-0280, Japan
Hokkaido Cancer Center
Sapporo, Hokkaido, 003-0804, Japan
Sunagawa City Medical Center
Sunagawa, Hokkaido, 073-0196, Japan
University of Tsukuba Hospital
Tsukuba, Ibaraki, 305-8576, Japan
Sakai City Medical Center
Sakai, Osaka, 593-8304, Japan
Saitama Cancer Center
Kita-adachi-gun, Saitama, 362-0806, Japan
Seirei Hamamatsu General Hospital
Hamamatsu, Shizuoka, 430-8558, Japan
Hamamatsu University Hospital
Hamamatsu, Shizuoka, 431-3192, Japan
Tokyo Metropolitan Cancer and Infectious diseases Center Komagome Hospital
Bunkyo-ku, Tokyo, 113-8677, Japan
Cancer Institute Hospital of JFCR
Koto-ku, Tokyo, 135-8550, Japan
Toranomon Hospital
Minato, Tokyo, 105-8470, Japan
Akita University Hospital
Akita, 010-8543, Japan
Fukushima Medical University Hospital
Fukushima, 960-1295, Japan
Gifu University Hospital
Gifu, 501-1194, Japan
Hiroshima Prefectural Hospital
Hiroshima, 734-8530, Japan
Kyoto University Hospital
Kyoto, 606-8507, Japan
Okayama University Hospital
Okayama, 700-8558, Japan
Related Publications (1)
Bando H, Ueda A, Terata K, Doi M, Nagai SE, Hattori M, Watanabe K, Tamura N, Futamura M, Koizumi K, Niikura N, Miyaji T, Muramatsu Y, Xu L, Masuda N, Saji S. Health-related quality of life and physical activity collected via mobile application and wearable device in patients with HR +/HER2 - advanced breast cancer treated with palbociclib plus endocrine therapy or endocrine therapy alone: 6-month longitudinal study (JBCRG-26). Breast Cancer. 2025 Sep;32(5):1132-1143. doi: 10.1007/s12282-025-01744-0. Epub 2025 Jul 18.
PMID: 40681949DERIVED
Related Links
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Pfizer ClinicalTrials.gov Call Center
- Organization
- Pfizer Inc.
Study Officials
- STUDY DIRECTOR
Pfizer CT.gov Call Center
Pfizer
- PRINCIPAL INVESTIGATOR
Hiroko Bando
Dept of Breast, Thyroid and Endocrine Surgery, University of Tsukuba Hospital
Publication Agreements
- PI is Sponsor Employee
- No
- Restriction Type
- OTHER
- Restrictive Agreement
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 29, 2021
First Posted
February 3, 2021
Study Start
February 24, 2021
Primary Completion
March 24, 2023
Study Completion
March 24, 2023
Last Updated
November 22, 2024
Results First Posted
November 22, 2024
Record last verified: 2024-11
Data Sharing
- IPD Sharing
- Will not share
Pfizer will provide access to individual de-identified participant data and related study documents (e.g. protocol, Statistical Analysis Plan (SAP), Clinical Study Report (CSR)) upon request from qualified researchers, and subject to certain criteria, conditions, and exceptions. Further details on Pfizer's data sharing criteria and process for requesting access can be found at: https://www.pfizer.com/science/clinical\_trials/trial\_data\_and\_results/data\_requests.