Skip to main content

Advertisement

Log in

Factors leading to alpelisib discontinuation in patients with hormone receptor positive, human epidermal growth factor receptor-2 negative breast cancer

  • Clinical trial
  • Published:
Breast Cancer Research and Treatment Aims and scope Submit manuscript

Abstract

Purpose

Alpelisib is a phosphoinositide-3-kinase inhibitor approved for hormone-receptor-positive, PIK3CA-mutated metastatic breast cancer. However, length of drug exposure, maximum-tolerated dose, and therefore clinical response can vary significantly outside of the trial setting. This study evaluates our center’s “real world” experience with alpelisib and focuses on duration of therapy and factors associated with cancer progression.

Methods

Patients receiving alpelisib at our center between 2019 and 2021 were identified. We evaluated duration of alpelisib therapy and the causative reasons for drug discontinuation. The association of drug duration and dose with subsequent cancer progression were assessed, along with the association between hyperglycemia during alpelisib therapy and cancer progression.

Results

Sixty-two women prescribed alpelisib were included (mean age 61 years). Disease progression was the most common reason for drug discontinuation, while discontinuation within 30 days was primarily attributed to adverse events (AEs). Among those who progressed, median time to progression was longer in those on alpelisib for > 90 days compared with those on alpelisib for ≤ 90 days (187 vs. 77 days, p < 0.001). At 200 days, freedom from progression was greater for those on alpelisib for > 90 days compared to those receiving therapy for ≤ 90 days (59% vs. 19%, p = 0.001). Median blood glucose as a continuous variable was associated with disease progression (HR 1.01, 95% CI 1.00–1.02, p = 0.02).

Conclusion

While progression of disease is the largest contributor to alpelisib discontinuation, AEs are the leading cause for early drug cessation. Shorter alpelisib exposure is associated with greater cancer progression. Further studies are needed to determine the impact of sustained hyperglycemia on cancer progression.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Code availability

All statistical methods and codes are available for review upon request.

References

  1. André F, Ciruelos E, Rubovszky G et al (2019) Alpelisib for PIK3CA-mutated, hormone receptor-positive advanced breast cancer. N Engl J Med 380:1929–1940

    Article  Google Scholar 

  2. Rugo HS, André F, Yamashita T et al (2020) Time course and management of key adverse events during the randomized phase III SOLAR-1 study of PI3K inhibitor alpelisib plus fulvestrant in patients with HR-positive advanced breast cancer. Ann Oncol 31:1001–1010

    Article  CAS  Google Scholar 

  3. Juric D, Rodon J, Tabernero J et al (2018) Phosphatidylinositol 3-kinase α-selective inhibition with alpelisib (BYL719) in PIK3CA-altered solid tumors: results from the first-in-human study. J Clin Oncol 36:1291–1299

    Article  CAS  Google Scholar 

  4. Rugo HS, Lerebours F, Ciruelos E et al (2021) Alpelisib plus fulvestrant in PIK3CA-mutated, hormone receptor-positive advanced breast cancer after a CDK4/6 inhibitor (BYLieve): one cohort of a phase 2, multicentre, open-label, non-comparative study. Lancet Oncol 22:489–498

    Article  CAS  Google Scholar 

  5. Brunello A, Kapoor R, Extermann M (2011) Hyperglycemia during chemotherapy for hematologic and solid tumors is correlated with increased toxicity. Am J Clin Oncol 34:299–306

    Article  Google Scholar 

  6. Ahn HR, Kang SY, Youn HJ et al (2020) Hyperglycemia during adjuvant chemotherapy as a prognostic factor in breast cancer patients without diabetes. J Breast Cancer 23:398–409

    Article  Google Scholar 

  7. Alenzi EO, Kelley GA (2017) The association of hyperglycemia and diabetes mellitus and the risk of chemotherapy-induced neutropenia among cancer patients: a systematic review with meta-analysis. J Diabetes Complications 31:267–272

    Article  Google Scholar 

  8. Wu AH, Kurian AW, Kwan ML et al (2015) Diabetes and other comorbidities in breast cancer survival by race/ethnicity: the California breast cancer survivorship consortium (CBCSC). Cancer Epidemiol Biomarkers Prev 24:351–358

    Google Scholar 

  9. Rao Kondapally Seshasai S, Kaptoge S, Thompson A et al (2011) Emerging risk factors collaboration. Diabetes mellitus, fasting glucose, and risk of cause-specific death. N Engl J Med 364:829–841

    Article  Google Scholar 

  10. Chang YL, Sheu WH, Lin SY et al (2018) Good glycaemic control is associated with a better prognosis in breast cancer patients with type 2 diabetes mellitus. Clin Exp Med 18:383–390

    Article  CAS  Google Scholar 

  11. Erickson K, Patterson RE, Flatt SW et al (2011) Clinically defined type 2 diabetes mellitus and prognosis in early-stage breast cancer. J Clin Oncol 29:54–60

    Article  Google Scholar 

  12. Yoo JH, Choi MS, Ahn J et al (2020) Association between continuous glucose monitoring-derived time in range, other core metrics, and albuminuria in type 2 diabetes. Diabetes Technol Ther 22:768–776

    Article  CAS  Google Scholar 

  13. Lu J, Ma X, Zhou J et al (2018) Association of time in range, as assessed by continuous glucose monitoring, with diabetic retinopathy in type 2 diabetes. Diabetes Care 41:2370–2376

    Article  CAS  Google Scholar 

  14. Mayeda L, Katz R, Ahmad I et al (2020) Glucose time in range and peripheral neuropathy in type 2 diabetes mellitus and chronic kidney disease. BMJ Open Diabetes Res Care 8:e000991

    Article  Google Scholar 

  15. Lu J, Home PD, Zhou J (2020) Comparison of multiple cut points for time in range in relation to risk of abnormal carotid intima-media thickness and diabetic retinopathy. Diabetes Care 43:e99–e101

    Article  Google Scholar 

  16. Lu J, Ma X, Shen Y et al (2020) Time in range is associated with carotid intima-media thickness in type 2 diabetes. Diabetes Technol Ther 22:72–78

    Article  CAS  Google Scholar 

  17. Fine JP, Gray RJ (1999) A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 94:496–509

    Article  Google Scholar 

  18. Wang DG, Barrios DM, Blinder VS et al (2020) Dermatologic adverse events related to the PI3Kα inhibitor alpelisib (BYL719) in patients with breast cancer. Breast Cancer Res Treat 183:227–237

    Article  CAS  Google Scholar 

  19. Fruman DA, Chiu H, Hopkins BD et al (2017) The PI3K pathway in human disease. Cell 170:605–635

    Article  CAS  Google Scholar 

  20. Brandão M, Caparica R, Eiger D et al (2019) Biomarkers of response and resistance to PI3K inhibitors in estrogen receptor-positive breast cancer patients and combination therapies involving PI3K inhibitors. Ann Oncol. https://doi.org/10.1093/annonc/mdz280

    Article  PubMed  PubMed Central  Google Scholar 

  21. Hopkins BD, Pauli CDX, Wang DG et al (2018) Suppression of insulin feedback enhances the efficacy of PI3K inhibitors. Nature 560:499–503

    Article  CAS  Google Scholar 

Download references

Acknowledgements

There are no additional acknowledgements to disclose.

Funding

No funding was received for the conduction of this study.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Y-MC and GC. The first draft of the manuscript was written by Y-MC and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Marie E. McDonnell.

Ethics declarations

Conflict of interest

SMT receives institutional research funding from AstraZeneca, Lilly, Merck, Nektar, Novartis, Pfizer, Genentech/Roche, Immunomedics, Exelixis, Bristol-Myers Squibb, Eisai, Nanostring, Cyclacel, Odonate, and Seattle Genetics; has served as an advisor/consultant to AstraZeneca, Lilly, Merck, Nektar, Novartis, Pfizer, Genentech/Roche, Immunomedics, Bristol-Myers Squibb, Eisai, Nanostring, Puma, Sanofi, Celldex, Paxman, Puma, Silverback Therapeutics, G1 Therapeutics, Gilead, AbbVie, Athenex, OncoPep, Outcomes4Me, Kyowa Kirin Pharmaceuticals, Daiichi-Sankyo, and Samsung Bioepsis Inc. All other authors have no funding or conflicts of interest to disclose.

Ethical approval

This study has been approved by the MassGeneralBrigham Institutional Review Board (IRB).

Informed consent

Given the retrospective and low risk nature of this study, formal participant consent and consent to publish was not required.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cheung, YM.M., Cromwell, G.E., Tolaney, S.M. et al. Factors leading to alpelisib discontinuation in patients with hormone receptor positive, human epidermal growth factor receptor-2 negative breast cancer. Breast Cancer Res Treat 192, 303–311 (2022). https://doi.org/10.1007/s10549-021-06476-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10549-021-06476-1

Keywords

Navigation