Literature DB >> 35124720

Refining risk stratification in HR-positive/HER2-negative early breast cancer: how to select patients for treatment escalation?

Stefania Morganti1,2, Antonio Marra1,2,3, Edoardo Crimini1,2, Paolo D'Amico1,2,4,5, Paola Zagami1,2, Giuseppe Curigliano6,7.   

Abstract

PURPOSE: Despite advances in adjuvant therapeutic strategies, many patients with hormone receptor (HR)-positive/HER2-negative early breast cancer (EBC) experience disease recurrence, even many years after primary surgery. The aim of this review is: (i) to point out the current clinical, pathological, and genomic features that contribute to define the risk of recurrence in HR-positive EBC, (ii) to explore the potential role of liquid biopsy-based assays for refining risk assessment, and (iii) to discuss future perspectives and innovative strategies to optimize risk stratification and select patients for treatment escalation.
METHODS: We searched PubMed, EMBASE and Scopus to review the current evidence about risk stratification in patients with HR-positive EBC, and to identify studies deemed to have the highest scientific value.
RESULTS: Risk stratification of HR-positive/HER2-negative relies on traditional clinicopathological features (age, menopausal status, tumor size, nodal status, tumor grading, HR expression level, and proliferation markers), along with newly developed genomic scores, which accurately predict risk of recurrence and survival. Multiparametric scores including both clinicopathological and genomic variables have the highest prognostication power, even if comparative studies have not defined which one should be preferred. In parallel, liquid biopsy-based showed to be a valuable tool to identify high risk patients.
CONCLUSION: The most appropriate definition of "high" and "low" risk HR-positive EBC is still unclear. Accordingly, treatment escalation/de-escalation depending on recurrence risk remains challenging. Implementation of new tools for risk stratification, such as liquid biopsy-based assays, as well as development of novel treatment strategies are strongly warranted.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Early breast cancer; HR-positive; Liquid biopsy; Minimal residual disease; Risk stratification; Treatment escalation

Mesh:

Substances:

Year:  2022        PMID: 35124720     DOI: 10.1007/s10549-022-06535-1

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  96 in total

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Authors:  J S Abrams
Journal:  Breast Cancer       Date:  2001       Impact factor: 4.239

Review 2.  Clinical use of biomarkers in breast cancer: Updated guidelines from the European Group on Tumor Markers (EGTM).

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Journal:  Eur J Cancer       Date:  2017-02-28       Impact factor: 9.162

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Journal:  Histopathology       Date:  1992-06       Impact factor: 5.087

4.  Estimating the benefits of therapy for early-stage breast cancer: the St. Gallen International Consensus Guidelines for the primary therapy of early breast cancer 2019.

Authors:  H J Burstein; G Curigliano; S Loibl; P Dubsky; M Gnant; P Poortmans; M Colleoni; C Denkert; M Piccart-Gebhart; M Regan; H-J Senn; E P Winer; B Thurlimann
Journal:  Ann Oncol       Date:  2019-10-01       Impact factor: 32.976

5.  20-Year Risks of Breast-Cancer Recurrence after Stopping Endocrine Therapy at 5 Years.

Authors:  Hongchao Pan; Richard Gray; Jeremy Braybrooke; Christina Davies; Carolyn Taylor; Paul McGale; Richard Peto; Kathleen I Pritchard; Jonas Bergh; Mitch Dowsett; Daniel F Hayes
Journal:  N Engl J Med       Date:  2017-11-09       Impact factor: 91.245

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Authors:  C W Elston; I O Ellis
Journal:  Histopathology       Date:  1991-11       Impact factor: 5.087

7.  Pathologic findings from the National Surgical Adjuvant Breast Project protocol B-06. 10-year pathologic and clinical prognostic discriminants.

Authors:  E R Fisher; S Anderson; C Redmond; B Fisher
Journal:  Cancer       Date:  1993-04-15       Impact factor: 6.860

8.  Pathological prognostic factors in breast cancer. III. Vascular invasion: relationship with recurrence and survival in a large study with long-term follow-up.

Authors:  S E Pinder; I O Ellis; M Galea; S O'Rouke; R W Blamey; C W Elston
Journal:  Histopathology       Date:  1994-01       Impact factor: 5.087

9.  Adjuvant Chemotherapy Guided by a 21-Gene Expression Assay in Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Matthew P Goetz; John A Olson; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Peter M Ravdin; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; Jeffrey L Berenberg; Jeffrey Abrams; George W Sledge
Journal:  N Engl J Med       Date:  2018-06-03       Impact factor: 91.245

10.  Tailoring Adjuvant Endocrine Therapy for Premenopausal Breast Cancer.

Authors:  Prudence A Francis; Olivia Pagani; Gini F Fleming; Barbara A Walley; Marco Colleoni; István Láng; Henry L Gómez; Carlo Tondini; Eva Ciruelos; Harold J Burstein; Hervé R Bonnefoi; Meritxell Bellet; Silvana Martino; Charles E Geyer; Matthew P Goetz; Vered Stearns; Graziella Pinotti; Fabio Puglisi; Simon Spazzapan; Miguel A Climent; Lorenzo Pavesi; Thomas Ruhstaller; Nancy E Davidson; Robert Coleman; Marc Debled; Stefan Buchholz; James N Ingle; Eric P Winer; Rudolf Maibach; Manuela Rabaglio-Poretti; Barbara Ruepp; Angelo Di Leo; Alan S Coates; Richard D Gelber; Aron Goldhirsch; Meredith M Regan
Journal:  N Engl J Med       Date:  2018-06-04       Impact factor: 91.245

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