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Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study

Journal of Medical Internet Research, vol. 28, pp. e88665

Abstract

BACKGROUND: Prognostic information is essential for decision-making in breast cancer management. In recent years, trials and clinical practice have emphasized genomic prognostication tools, despite clinicopathological methods being more affordable and accessible. PREDICT v3 is one such tool with promising results across cohorts. Advances in machine learning (ML), transfer learning, and ensemble methods provide opportunities to enhance these approaches, especially where missing data and model assumptions differ across diverse populations. OBJECTIVE: This study evaluates the potential to improve survival prognostication in breast cancer. More precisely, we compare de novo ML, transfer learning from the pretrained prognostication model PREDICT v3, and a stacked ensemble approach. METHODS: Data from the MA.27 trial (NCT00066573) were used for model training, with external validation on data from the Tamoxifen Exemestane Adjuvant Multinational trial (NCT00279448 and NCT00032136) and a US Surveillance, Epidemiology, and End Results cohort. Transfer learning was applied by re-estimating the parameters of the pretrained prognostic tool PREDICT v3. De novo ML included random survival forests and extreme gradient boosting, and the ensemble was implemented using weighted linear stacking of model predictions. Internal and external validation was assessed in terms of the integrated calibration index and discrimination. Shapley Additive Explanations values were used to explain model predictions and decision-curve analysis to facilitate the interpretation of performance differences. RESULTS: Transfer learning, de novo random survival forest, and the stacked ensemble improved calibration in MA.27 over the pretrained model (integrated calibration index reduced from 0.042 in PREDICT v3 to ≤0.007) while discrimination remained comparable (AUROC increased from 0.738 in PREDICT v3 to 0.744-0.799). In decision-curve analysis, these approaches demonstrated consistently positive net benefit across clinically relevant thresholds, while PREDICT v3 lost net benefit beyond 7.5% predicted risk. Invalid PREDICT v3 predictions were observed in 23.8% to 25.8% of MA.27 individuals due to missing information. In contrast, ML models and the stacked ensemble predicted survival despite missing data. Across all models, patient age, nodal status, pathological grading, and tumor size had the highest Shapley Additive Explanations values, indicating their importance for survival prognostication. External validation in the US Surveillance, Epidemiology, and End Results cohort confirmed the benefits of transfer learning, RSF, and ensemble in terms of calibration while maintaining discrimination at comparable levels. In contrast, generalizability was limited in the Tamoxifen Exemestane Adjuvant Multinational trial, a cohort with a substantially different distribution of clinicopathological characteristics. CONCLUSIONS: This study demonstrates that transfer learning, de novo RSF, and a stacked ensemble can improve prognostication compared with the pretrained PREDICT v3, particularly in the presence of missing or uncertain inputs. Transportability may be limited in cohorts with different clinicopathological profiles, requiring local validation before clinical deployment. Ultimately, better survival estimation can provide more meaningful guidance in breast cancer care. TRIAL REGISTRATION: ClinicalTrials.gov NCT00066573; https://clinicaltrials.gov/study/NCT00066573, NCT00279448; https://clinicaltrials.gov/study/NCT00279448, NCT00032136; https://clinicaltrials.gov/study/NCT00032136.

Authors 25

  1. University of Ottawa · Children's Hospital of Eastern Ontario · Charité - Universitätsmedizin Berlin

    Affiliation as printed

    Department of Nephrology and Medical Intensive Care, Charité - Universitaetsmedizin Berlin, Berlin, Germany

    Research Institute, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada

    School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada

  2. University of Ottawa · Children's Hospital of Eastern Ontario

    Affiliation as printed

    Research Institute, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada

    School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada

  3. University of Ottawa

    Affiliation as printed

    Division of Medical Oncology, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada

  4. McMaster University

    Affiliation as printed

    Department of Oncology, McMaster University, Hamilton, ON, Canada

  5. Ottawa Hospital Research Institute

    Affiliation as printed

    Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada

  6. Ottawa Hospital · Ottawa Hospital Research Institute

    Affiliation as printed

    Ottawa Hospital Cancer Center, Ottawa Hospital Research Institute, Ottawa, ON, Canada

  7. University of Ottawa

    Affiliation as printed

    Division of Medical Oncology, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada

  8. Centre Hospitalier de l’Université de Montréal · Université de Montréal

    Affiliation as printed

    Division of Medical Oncology and Hematology, CHUM, Université de Montréal, Montreal, QC, Canada

  9. Queen's University · Canadian Cancer Trials Group

    Affiliation as printed

    Canadian Canadian Cancer Trials Group, Queen's University, Kingston, ON, Canada

  10. Queen's University · Canadian Cancer Trials Group

    Affiliation as printed

    Canadian Canadian Cancer Trials Group, Queen's University, Kingston, ON, Canada

  11. Edinburgh Cancer Research · Institute of Genetics and Cancer · University of Edinburgh

    Affiliation as printed

    Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, United Kingdom

  12. Edinburgh Cancer Research · Institute of Genetics and Cancer · University of Edinburgh

    Affiliation as printed

    Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, United Kingdom

  13. Ontario Institute for Cancer Research · University of Toronto

    Affiliation as printed

    Department of Laboratory Medicine and Pathobiology, University of Toronto, Ontario, ON, Canada

    Diagnostic Development, Ontario Institute for Cancer Research, Toronto, ON, Canada

  14. Ontario Institute for Cancer Research

    Affiliation as printed

    Diagnostic Development, Ontario Institute for Cancer Research, Toronto, ON, Canada

  15. Ontario Institute for Cancer Research · University of Toronto

    Affiliation as printed

    Department of Laboratory Medicine and Pathobiology, University of Toronto, Ontario, ON, Canada

    Diagnostic Development, Ontario Institute for Cancer Research, Toronto, ON, Canada

  16. Leiden University Medical Center

    Affiliation as printed

    Department of Surgery, Leiden University Medical Center, Leiden, South Holland, The Netherlands

  17. Leiden University Medical Center

    Affiliation as printed

    Department of Surgery, Leiden University Medical Center, Leiden, South Holland, The Netherlands

  18. GZA Ziekenhuizen Campus Sint-Augustinus

    Affiliation as printed

    St. Augustinus Hospital, Antwerp, Belgium

  19. NHS Greater Glasgow and Clyde

    Affiliation as printed

    Department of Pathology, NHS Greater Glasgow and Clyde, Glasgow, Scotland, United Kingdom

  20. University Medical Center of the Johannes Gutenberg University Mainz

    Affiliation as printed

    Department of Gynecology and Obstetrics, University Center Mainz, Mainz, Germany

  21. National and Kapodistrian University of Athens

    Affiliation as printed

    Medical School, National and Kapodistrian University of Athens, Athens, Attica, Greece

  22. University of Ottawa · Children's Hospital of Eastern Ontario

    Affiliation as printed

    Research Institute, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada

    School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada

  23. Children's Hospital of Eastern Ontario

    Affiliation as printed

    Research Institute, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada

  24. Ottawa Hospital · Ottawa Hospital Research Institute

    Affiliation as printed

    Ottawa Hospital Cancer Center, Ottawa Hospital Research Institute, Ottawa, ON, Canada

  25. University of Ottawa · Children's Hospital of Eastern Ontario

    Affiliation as printed

    Research Institute, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada

    School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada

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References 61