Skip to main content

Next-Generation Sequencing for Advanced Breast Cancer: What the Way to Go?

  • Chapter
  • First Online:
Breast Cancer Research and Treatment

Part of the book series: Cancer Treatment and Research ((CTAR,volume 188))

Abstract

The rapid implementation of precision medicine tools in diagnosing and treating breast cancer (BC) has widened the potential therapeutic options for patients. The applications of gene sequencing, including next-generation gene sequencing (NGS), have led to numerous questions on how to validate, implement, interpret, prioritize and operationalize precision medicine tools to deliver meaningful and impactful interventions. Limited benefit has been portended with earlier experiences of NGS-driven treatment, in BC. However, the development and use of frameworks of clinical actionability of genomic alterations, for example, detected with NGS, has resulted in better patient selection, and potentially higher therapeutic value. The European Society for Medical Oncology Scale for Clinical Actionability of molecular Targets (ESCAT) is a framework that includes five tiers of clinical actionability, with tier 1 reserved for approved drugs with demonstrated benefits for targetable genomic alterations. The re-analysis of clinical studies by grouping the genomic alterations and matched drugs with ESCAT, in high vs lower tiers has demonstrated a significant benefit portended by high tiers alterations, with the availability of efficacious treatments. As a result, frameworks for actionability, like ESCAT, should be fundamental in developing and implementing NGS-driven, and broadly, precision medicine research and treatments.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Condorelli R et al (2019) Genomic alterations in breast cancer: level of evidence for actionability according to ESMO scale for clinical actionability of molecular targets (ESCAT). Annal Oncol 30(3)

    Google Scholar 

  2. Crimini E et al (2021) Precision medicine in breast cancer: from clinical trials to clinical practice. Cancer Treat Rev 98

    Google Scholar 

  3. Mateo J et al (2018) A Framework to rank genomic alterations as targets for cancer precision medicine: the ESMO scale for clinical actionability of molecular targets (ESCAT). Ann Oncol 29(9)

    Google Scholar 

  4. Palmero R et al (2021) Biomarker discovery and outcomes for comprehensive cell-free circulating tumour DNA versus standard-of-care tissue testing in advanced non-small-cell lung cancer. JCO Precis Oncol 5(5):93–102. https://pubmed.ncbi.nlm.nih.gov/34994593/. Accessed 2 June 2022

  5. Paz-Ares L et al (2022) Genomic testing among patients with newly diagnosed advanced non-small cell lung cancer in the United States: a contemporary clinical practice patterns study. Lung Cancer (Amsterdam, Netherlands) 167:41–48. https://pubmed.ncbi.nlm.nih.gov/35397297/. Accessed 2 June 2022

  6. Sheffield BS et al (2022) Point of care molecular testing: community-based rapid next-generation sequencing to support cancer care. Curr Oncol (Toronto, Ont.) 29(3):1326–1334. https://pubmed.ncbi.nlm.nih.gov/35323313/. Accessed 2 June 2022

  7. Sheinson DM et al (2021) Trends in use of next-generation sequencing in patients with solid tumours by race and ethnicity after implementation of the medicare national coverage determination. JAMA Netw Open 4(12). https://pubmed.ncbi.nlm.nih.gov/34882180/. Accessed 2 June 2022

  8. Conway JR, Warner JL, Rubinstein WS, Miller RS (2019) Next-generation sequencing and the clinical oncology workflow: data challenges, proposed solutions, and a call to action, (3):1–10. https://doi.org/10.1200/PO.19.00232

  9. The Lancet (2021) 20 years of precision medicine in oncology. The Lancet 397(10287):1781. http://www.thelancet.com/article/S0140673621010990/fulltext. Accessed 2 June 2022

  10. Hammerman A et al (2018) The ESMO-magnitude of clinical benefit scale for novel oncology drugs: correspondence with three years of reimbursement decisions in israel. Expert Rev Pharmacoecon Outcomes Res 18(1):119–122. https://pubmed.ncbi.nlm.nih.gov/28617621/. Accessed 11 Feb 2022

  11. Schechter AL et al (1984) The neu oncogene: an Erb-B-related gene encoding a 185,000-Mr tumour antigen. Nature 312(5994):513–516. https://pubmed.ncbi.nlm.nih.gov/6095109/. Accessed 2 June 2022

  12. Bargmann CI, Hung MC, Weinberg RA (1986) The neu oncogene encodes an epidermal growth factor receptor-related protein. Nature 319(6050):226–230. https://pubmed.ncbi.nlm.nih.gov/3945311/. Accessed 2 June 2022

  13. Slamon DJ et al (1987) Human breast cancer: correlation of relapse and survival with amplification of the HER-2/neu oncogene. Science (New York, N.Y.) 235(4785):182–191. https://pubmed.ncbi.nlm.nih.gov/3798106/. Accessed 2 June 2022

  14. Piccart-Gebhart MJ et al (2005) Trastuzumab after adjuvant chemotherapy in HER2-positive breast cancer. New Engl J Med 353(16):1659–1672. https://www.nejm.org/doi/full/https://doi.org/10.1056/nejmoa052306. Accessed 2 June 2022

  15. Li A, Schleicher SM, Andre F, Mitri ZI (2020) Genomic alteration in metastatic breast cancer and its treatment. Am Soc Clin Oncol Educ Book. Am Soc Clin Oncol. Ann Meet 40(40):1–14. http://www.ncbi.nlm.nih.gov/pubmed/32213086. Accessed 2 June 2022

  16. Gennari A et al (2021) ESMO clinical practice guideline for the diagnosis, staging and treatment of patients with metastatic breast cancer ☆. Annal Oncol 32(12):1475–1495. http://www.annalsofoncology.org/article/S0923753421044987/fulltext. Accessed 2 June 2022

  17. Le Tourneau C et al (2015) Molecularly targeted therapy based on tumour molecular profiling versus conventional therapy for advanced cancer (SHIVA): a multicentre, open-label, proof-of-concept, randomised, controlled phase 2 trial. Lancet Oncol 16(13):1324–1334. http://www.thelancet.com/article/S1470204515001886/fulltext. Accessed 2 June 2022

  18. Massard C et al (2017) High-throughput genomics and clinical outcome in hard-to-treat advanced cancers: results of the MOSCATO 01 trial. Cancer Discov 7(6):586–595. https://pubmed.ncbi.nlm.nih.gov/28365644/. Accessed 2 June 2022

  19. Ballman KV (2015) Biomarker: predictive or prognostic? J Clin Oncol 33(33):3968–3971

    Article  CAS  PubMed  Google Scholar 

  20. Van Allen EM et al (2014) Whole-exome sequencing and clinical interpretation of formalin-fixed, paraffin-embedded tumour samples to guide precision cancer medicine. Nat Med 20(6):682–688. https://pubmed.ncbi.nlm.nih.gov/24836576/. Accessed 2 June 2022

  21. Chakravarty D et al (2017) OncoKB: a precision oncology knowledge base. JCO Precis Oncol 2017(1):1–16. https://pubmed.ncbi.nlm.nih.gov/28890946/. Accessed 2 June 2022

  22. Luchini C, Lawlor RT, Milella M, Scarpa A (2020) Molecular tumour boards in clinical practice. Trends Cancer 6(9):738–744. https://pubmed.ncbi.nlm.nih.gov/32517959/. Accessed 2 June 2022

  23. Rolfo C et al (2018) Multidisciplinary molecular tumour board: a tool to improve clinical practice and selection accrual for clinical trials in patients with cancer. ESMO Open 3(5):398. http://www.esmoopen.com/article/S2059702920322882/fulltext. Accessed 2 June 2022

  24. Kopanos C et al (2019) VarSome: the human genomic variant search engine. Bioinformatics (Oxford, England) 35(11):1978–1980. https://pubmed.ncbi.nlm.nih.gov/30376034/. Accessed 2 June 2022

  25. Landrum MJ et al (2016) ClinVar: public archive of interpretations of clinically relevant variants. Nucl Acids Res 44(D1):D862–D868. https://pubmed.ncbi.nlm.nih.gov/26582918/. Accessed 2 June 2022

  26. Tate JG et al (2019) COSMIC: the catalogue of somatic mutations in cancer. Nucl Acids Res 47(D1):D941–D947. https://pubmed.ncbi.nlm.nih.gov/30371878/. Accessed 2 June 2022

  27. Russo A et al (2021) The tumour-agnostic treatment for patients with solid tumours: a position paper on behalf of the AIOM-SIAPEC/IAP-SIBioC-SIF Italian scientific societies. Crit Rev Oncol/Hematol 165. https://pubmed.ncbi.nlm.nih.gov/34371157/. Accessed 2 June 2022

  28. Basse C et al (2018) Relevance of a molecular tumour board (MTB) for patients’ enrolment in clinical trials: experience of the institut curie. ESMO Open 3(3):339. http://www.esmoopen.com/article/S2059702920323243/fulltext. Accessed 2 June 2022

  29. Kato S et al (2020) Real-world data from a molecular tumour board demonstrates improved outcomes with a precision N-of-one strategy. Nature Commun 11(1):1–9. https://www.nature.com/articles/s41467-020-18613-3. Accessed 2 June 2022

  30. Trédan O et al (2019) Molecular screening program to select molecular-based recommended therapies for metastatic cancer patients: analysis from the profiler trial. Ann Oncol 30(5):757–765. http://www.annalsofoncology.org/article/S0923753419311676/fulltext. Accessed 2 June 2022

  31. Turner NC et al (2020) Circulating tumour DNA analysis to direct therapy in advanced breast cancer (PlasmaMATCH): a multicentre, multicohort, phase 2a, platform trial. Lancet Oncol 21(10):1296–1308. http://www.thelancet.com/article/S1470204520304447/fulltext. Accessed 2 June 2022

  32. van der Velden DL et al (2019) The drug rediscovery protocol facilitates the expanded use of existing anticancer drugs. Nature 574(7776):127–131. https://pubmed.ncbi.nlm.nih.gov/31570881/. Accessed 2 June 2022

  33. André F et al (2014) Comparative genomic hybridisation array and DNA sequencing to direct treatment of metastatic breast cancer: a multicentre, prospective trial (SAFIR01/UNICANCER). Lancet Oncol 15(3):267–74. https://pubmed.ncbi.nlm.nih.gov/24508104/. Accessed 2 June 2022

  34. Andrè et al (2022) Clinical utility of molecular tumour profiling: results from the randomized trial SAFIR01-BREAST. Presented at SABCS 2021, San Antonio, TX. Abstract GS1-10

    Google Scholar 

  35. Schneider BP et al (2022) BRE12-158: a postneoadjuvant, randomized phase II trial of personalized therapy versus treatment of physician’s choice for patients with residual triple-negative breast cancer. J Clin Oncol: Offic J Am Soc Clin Oncol 40(4):345–355

    Article  CAS  Google Scholar 

  36. Tannock IF, Hickman JA (2016) Limits to personalized cancer medicine. New Engl J Med 375(13):1289–1294. https://pubmed.ncbi.nlm.nih.gov/27682039/. Accessed 11 July 2022

  37. Polyak K (2011) Heterogeneity in breast cancer. J Clin Investig 121(10):3786–3788. https://pubmed.ncbi.nlm.nih.gov/21965334/. Accessed 12 July 2022

  38. Curtis C et al (2012) The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature 486(7403):346–352. https://pubmed.ncbi.nlm.nih.gov/22522925/. Accessed 12 June 2022

  39. Pereira B et al (2016) The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes. Nat Commun 7. https://pubmed.ncbi.nlm.nih.gov/27161491/. Accessed 12 July 2022

  40. Perou CM et al (2000) Molecular portraits of human breast tumours. Nature 406(6797):747–752. https://pubmed.ncbi.nlm.nih.gov/10963602/. Accessed 12 July 2022

  41. Shah SP et al (2009) Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution. Nature 461(7265):809–813. https://pubmed.ncbi.nlm.nih.gov/19812674/. Accessed 12 July 2022

  42. Aparicio S, Caldas C (2013) The implications of clonal genome evolution for cancer medicine. New Engl J Med 368(9):842–851. https://pubmed.ncbi.nlm.nih.gov/23445095/. Accessed 12 June 2022

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dario Trapani .

Editor information

Editors and Affiliations

Ethics declarations

GC reports: Consultancy with Bristol-Myers Squibb, Boehringer Ingelheim, Daiichi Sankyo, Foundation Medicine, GlaxoSmithKline, Lilly, Novartis, Pfizer, Roche/Genentech, Samsung, and Seagen Inc.; honoraria from Ellipses Pharma; research funding/grants from Merck; speaker’s bureau with Daiichi Sankyo, Foundation Medicine, Lilly, Novartis, Pfizer, Roche/Genentech, Samsung, and Seagen Inc.; travel from Pfizer and Roche/Genentech. The other authors report no potential COI.

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Trapani, D., Crimini, E., Sandoval, J., Curigliano, G. (2023). Next-Generation Sequencing for Advanced Breast Cancer: What the Way to Go?. In: Al Jarroudi, O., El Bairi, K., Curigliano, G. (eds) Breast Cancer Research and Treatment. Cancer Treatment and Research, vol 188. Springer, Cham. https://doi.org/10.1007/978-3-031-33602-7_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-33602-7_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33601-0

  • Online ISBN: 978-3-031-33602-7

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics