Innovative Approach for a Typology of Treatment Sequences in Early Stage HER2 Positive Breast Cancer Patients Treated With Trastuzumab in the French National Hospital Database

Background: Our objective was to describe the hospital-based systemic treatment sequences in early stage HER2+ breast cancer patients treated with trastuzumab in France in 2016. Methods: This retrospective observational study was based on the national hospital discharge database (PMSI). Patients hospitalized for breast cancer in 2016 and administration of trastuzumab between 6 months prior and 1 year after surgery were included. The following treatments were identified: (1) trastuzumab ± chemotherapy; (2) chemotherapy alone; (3) q3w trastuzumab weekly chemotherapy. Hospital admissions for cardiac events before and after the surgery were investigated. An unsupervised machine learning technic called TAK (Time-sequence Analysis through K-clustering) was used to identify and visualize typical systemic treatment sequences. Results: Overall, 3531 patients were included: 2619 adjuvant cohort patients (74.2%) and 912 neoadjuvant cohort patients (25.8%). The mean age was 56.4 years (±12.3), 99.7% patients were female. Treatment initiation occurred within 6 weeks of the surgery in 58% and 92% of patients, and trastuzumab treatment lasted 12 months (±1 month) in 75% and 66% of patients in the adjuvant and neoadjuvant cohorts, respectively. Nevertheless, 12% and 22% of patients were treated with trastuzumab for <11 months in the adjuvant and neoadjuvant cohorts, respectively. There was not one standard sequence of treatments per cohort, but 4 and 3 typical treatment sequences in the adjuvant and the neoadjuvant cohorts, respectively, plus 2 treatment sequences with an early treatment withdrawal. The frequency of patients with ⩾1 hospital stay with a cardiac event was higher among patients with an early treatment withdrawal. Conclusions: The treatment sequences of most patients were in line with the recommendations in force. The machine learning approach provided a telling visual display of the results, thereby allowing healthcare professionals, health authorities, patients, and care givers to see the whole picture of the hospital-administered drug strategies.

[1]  P. Bousquet,et al.  The French Early Breast Cancer Cohort (FRESH): A Resource for Breast Cancer Research and Evaluations of Oncology Practices Based on the French National Healthcare System Database (SNDS) , 2022, medRxiv.

[2]  J. Lortet-Tieulent,et al.  Machine Learning–Based Analysis of Treatment Sequences Typology in Advanced Non–Small-Cell Lung Cancer Long-Term Survivors Treated With Nivolumab , 2022, JCO clinical cancer informatics.

[3]  A. Fagot-Campagna,et al.  Intensity of Care, Expenditure, and Place of Death in French Women in the Year Before Their Death From Breast Cancer: A Population-Based Study , 2020, Cancer control : journal of the Moffitt Cancer Center.

[4]  R. Gelber,et al.  A pooled analysis of the cardiac events in the trastuzumab adjuvant trials , 2019, Breast Cancer Research and Treatment.

[5]  F. Cardoso,et al.  Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. , 2019, Annals of oncology : official journal of the European Society for Medical Oncology.

[6]  P. Fasching,et al.  Trastuzumab Emtansine for Residual Invasive HER2‐Positive Breast Cancer , 2019, The New England journal of medicine.

[7]  B. Feinberg,et al.  Treatment sequence of lenalidomide and hypomethylating agents and the impact on clinical outcomes for patients with myelodysplastic syndromes , 2019, Leukemia & lymphoma.

[8]  J. Coste,et al.  Value of a national administrative database to guide public decisions: From the système national d'information interrégimes de l'Assurance Maladie (SNIIRAM) to the système national des données de santé (SNDS) in France. , 2017, Revue d'epidemiologie et de sante publique.

[9]  Ágnes Vathy-Fogarassy,et al.  Frequent Treatment Sequence Mining from Medical Databases , 2017, eHealth.

[10]  E. Rutgers,et al.  Primary breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. , 2015, Annals of oncology : official journal of the European Society for Medical Oncology.

[11]  D. Roukos,et al.  Trastuzumab and beyond: sequencing cancer genomes and predicting molecular networks , 2011, The Pharmacogenomics Journal.

[12]  T. Jaakkola,et al.  Fast optimal leaf ordering for hierarchical clustering , 2001, ISMB.

[13]  J. H. Ward Hierarchical Grouping to Optimize an Objective Function , 1963 .

[14]  Richard W. Hamming,et al.  Error detecting and error correcting codes , 1950 .