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NCT Number: NCT07162675

Step Count and Treatment Response in Neoadjuvant Breast Cancer

This prospective multicenter observational study (NEOBRE-STEP) investigates the impact of daily step counts, measured by Huawei Fit 2 smartwatches, on treatment response in patients with non-metastatic Human Epidermal Growth Factor Receptor 2 (HER2)-negative breast cancer undergoing neoadjuvant systemic therapy. Patients will wear smartwatches to continuously record step counts, activity intensity, sleep, and heart rate. Patient-reported outcomes, including sleep quality (Pittsburgh Sleep Quality Index, PSQI) and quality of life (European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire - Core 30, EORTC QLQ-C30), will be assessed at baseline and after treatment. The primary outcomes are pathological complete response (pCR) and Miller-Payne score. Secondary outcomes include sleep quality, quality of life, perioperative outcomes, and feasibility of smartwatch monitoring.

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Key information

Age range

18 year and older

Sex eligibility

Female

Study type

Observational

Primary location

Etlik City Hospital, Medical Oncology Department, Ankara, Yenimahalle, Turkey (Türkiye)

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About this study

Physical activity and sleep quality are important prognostic factors in oncology, but objective and continuous monitoring during neoadjuvant systemic therapy is limited. Wearable devices provide non-invasive, real-time data on step counts, heart rate, and sleep. This study will evaluate whether daily step counts and digital health metrics predict pathological response in non-metastatic Human Epidermal Growth Factor Receptor 2 (HER2)-negative breast cancer.

Primary Objective: To assess the association between daily step counts and pathological response, including pathological complete response (pCR, defined as no residual invasive carcinoma in the breast and axillary nodes) and Miller-Payne score (range 1-5; higher scores indicate greater regression).

Secondary Objectives: To explore associations between physical activity and sleep quality (Pittsburgh Sleep Quality Index, PSQI), quality of life (European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire - Core 30, EORTC QLQ-C30), and perioperative outcomes; and to evaluate feasibility and adherence to smartwatch monitoring.

Methods: This is a multicenter prospective observational cohort study enrolling 82 female patients aged ≥18 years with non-metastatic HER2-negative breast cancer scheduled to receive neoadjuvant systemic therapy followed by surgery. Smartwatches (Huawei Fit 2) will continuously monitor activity, sleep, and heart rate. Questionnaires will be administered at baseline and at the end of treatment.

PSQI: Global score 0-21; higher scores indicate worse sleep quality; a cut-off >5 defines poor sleep. A validated Turkish version is available.

EORTC QLQ-C30: Standardized 0-100 scoring system; higher scores on functional scales indicate better functioning, while higher scores on symptom scales indicate greater symptom burden. A validated Turkish version is available.

Pathological response will be determined at surgery using pCR and Miller-Payne criteria.

Sample Size and Statistics: A priori power analysis (effect size d = 0.5, α = 0.05, power = 0.80) indicates a minimum of 82 patients. Regression analyses and subgroup evaluations will test associations with step counts, questionnaire scores, and perioperative outcomes.

Significance: This study (NEOBRE-STEP) is among the first multicenter efforts to integrate wearable health monitoring into breast cancer supportive care. By combining objective activity and sleep data with validated patient-reported outcomes, the study may provide new prognostic insights and support the integration of digital health tools into oncology practice.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Female patients aged ≥18 years.
  • Pathologically confirmed non-metastatic HER2-negative breast cancer.
  • Candidates scheduled to receive neoadjuvant systemic therapy followed by surgery.
  • ECOG performance status 0-2.
  • Ability to provide informed consent.

Exclusion criteria

  • Metastatic breast cancer at diagnosis.
  • HER2-positive breast cancer.
  • Previous systemic therapy for current breast cancer.
  • Severe comorbidities limiting mobility or physical activity (e.g., advanced neurologic or musculoskeletal disorders).
  • ECOG performance status ≥3.
  • Pregnancy or breastfeeding.
  • Refusal or inability to use a smartwatch device.

Treatment and study plan

Huawei Fit 2 Smartwatch

Device

Participants will receive a Huawei Fit 2 smartwatch within the first week of initiating neoadjuvant systemic therapy. The device will be worn throughout the treatment period to continuously monitor step counts, physical activity intensity, sleep duration, and heart rate. It is used solely for non-invasive monitoring and does not alter the standard oncological treatment.

Primary outcomes

  1. Pathological Complete Response (pCR)

    Time frame: From initiation of neoadjuvant therapy to the date of surgery (expected range: 24-32 weeks after treatment initiation).

    Defined as the absence of residual invasive carcinoma in the breast and axillary lymph nodes at surgery. Pathological response will be evaluated after completion of neoadjuvant systemic therapy.

  2. Miller-Payne Tumor Regression Score

    Time frame: From initiation of neoadjuvant therapy to the date of surgery (expected range: 24-32 weeks after treatment initiation).

    Histopathological regression grading system ranging from 1 (minimal regression) to 5 (complete disappearance of invasive cancer). Higher scores indicate greater regression.

Secondary outcomes

  1. Pittsburgh Sleep Quality Index (PSQI) Score

    Time frame: Baseline (within first week of therapy) to completion of neoadjuvant therapy (24-32 weeks).

    Patient-reported questionnaire assessing global sleep quality. Score range: 0-21; higher scores indicate worse sleep quality. A cut-off >5 defines poor sleep quality. A validated Turkish version is available.

  2. EORTC QLQ-C30 Global Health and Functional Scales

    Time frame: From baseline (within first week of neoadjuvant therapy) to completion of neoadjuvant therapy (24-32 weeks).

    European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire - Core 30. Scores standardized to 0-100. Higher scores on functional scales represent better functioning; higher scores on symptom scales represent worse symptom burden. A validated Turkish version is available.

Other outcomes

  1. Device-Measured Physical Activity Intensity

    Time frame: From treatment initiation to end of neoadjuvant therapy (up to 32 weeks).

    Minutes per day spent in moderate-to-vigorous physical activity, including bouts ≥10 minutes, measured by smartwatch.

  2. Resting Heart Rate (RHR)

    Time frame: From treatment initiation to end of neoadjuvant therapy (up to 32 weeks).

    Average weekly resting heart rate measured by smartwatch (beats per minute). Changes from baseline will be evaluated.

  3. Device-Measured Sleep Duration

    Time frame: From device allocation to end of neoadjuvant therapy (up to 32 weeks).

    Nightly sleep duration derived from smartwatch recordings, measured in hours per night.

  4. Device-Measured Sleep Efficiency

    Time frame: From device allocation to end of neoadjuvant therapy (up to 32 weeks).

    Proportion of time asleep relative to time in bed, derived from smartwatch recordings, expressed as percentage (%).

  5. Correlation Between Device-Measured Sleep Duration and PSQI Score

    Time frame: From device allocation to end of neoadjuvant therapy (up to 32 weeks).

    Statistical correlation between nightly sleep duration and PSQI scores.

  6. Correlation Between Device-Measured Sleep Efficiency and Miller-Payne Score

    Time frame: From device allocation to surgery (up to 32 weeks).

    Statistical correlation between sleep efficiency and histopathological regression grading.

  7. Correlation Between Device-Measured Sleep Efficiency and PSQI Score

    Time frame: From device allocation to end of neoadjuvant therapy (up to 32 weeks).

    Statistical correlation between sleep efficiency and PSQI scores.

  8. Correlation Between Device-Measured Sleep Duration and Miller-Payne Score

    Time frame: From device allocation to surgery (up to 32 weeks).

    Statistical correlation between nightly sleep duration and histopathological regression grading.

  9. Correlation Between Device-Measured Sleep Duration and Pathological Complete Response (pCR)

    Time frame: From device allocation to surgery (up to 32 weeks).

    Statistical correlation between nightly sleep duration and pathological complete response status.

  10. Correlation Between Device-Measured Sleep Efficiency and Pathological Complete Response (pCR)

    Time frame: From device allocation to surgery (up to 32 weeks).

    Statistical correlation between sleep efficiency and pathological complete response status.

Study contacts

Contact information is provided by the study sponsor or research team.

Galip Can Uyar, MD

CONTACT

[email protected]

+905065963812

Ömür Berna Öksüzoğlu, MD

CONTACT

[email protected]

+905055718475

Sponsors and collaborators

Lead sponsor

Ankara Etlik City Hospital

Other Gov

Registry information

Official study title

A Multicenter Prospective Study: The Impact of Step Count Measured by Smartwatches on Treatment Response in Non-Metastatic HER2-Negative Breast Cancer Patients Receiving Neoadjuvant Therapy

Acronym: NEOBRE-STEP

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Sep 9, 2025
Registry last updated
Feb 20, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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