Therapy Algorithms for the Diagnosis and Treatment of Patients with Early and Advanced Breast Cancer.

Breast cancer guidelines Evidence-based treatment Therapy algorithms

Journal

Breast care (Basel, Switzerland)
ISSN: 1661-3791
Titre abrégé: Breast Care (Basel)
Pays: Switzerland
ID NLM: 101254060

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 03 08 2020
accepted: 25 09 2020
entrez: 15 1 2021
pubmed: 16 1 2021
medline: 16 1 2021
Statut: ppublish

Résumé

In order to offer optimal treatment approaches based on available evidence, the Commission Breast of the Working Group Gynecologic Oncology (AGO) of the German Cancer Society developed therapy algorithms for eight complex treatment situations in primary and advanced breast cancer. Therapy algorithms for the following complex treatment situations are outlined in this paper: (neo)adjuvant therapy of human epidermal growth factor receptor 2 (HER2)-positive breast cancer; axillary surgery and neoadjuvant chemotherapy; adjuvant endocrine therapy in premenopausal patients; adjuvant endocrine therapy in postmenopausal patients; hormone receptor (HR)-positive/HER2-negative metastatic breast cancer: strategies; HR-positive/HER2-negative metastatic breast cancer: endocrine-based first-line treatment; HER2-positive metastatic breast cancer: first to third-line; metastatic triple-negative breast cancer. The therapy options shown in these algorithms are based on the current AGO recommendations updated in January 2020 but cannot represent all evidence-based treatment options. Prior therapies, performance status, comorbidities, patient preference, etc. must be taken into account for the actual treatment choice. Therefore, in individual cases, other evidence-based treatment options not listed here may also be appropriate and justified.

Sections du résumé

BACKGROUND BACKGROUND
In order to offer optimal treatment approaches based on available evidence, the Commission Breast of the Working Group Gynecologic Oncology (AGO) of the German Cancer Society developed therapy algorithms for eight complex treatment situations in primary and advanced breast cancer.
SUMMARY CONCLUSIONS
Therapy algorithms for the following complex treatment situations are outlined in this paper: (neo)adjuvant therapy of human epidermal growth factor receptor 2 (HER2)-positive breast cancer; axillary surgery and neoadjuvant chemotherapy; adjuvant endocrine therapy in premenopausal patients; adjuvant endocrine therapy in postmenopausal patients; hormone receptor (HR)-positive/HER2-negative metastatic breast cancer: strategies; HR-positive/HER2-negative metastatic breast cancer: endocrine-based first-line treatment; HER2-positive metastatic breast cancer: first to third-line; metastatic triple-negative breast cancer.
KEY MESSAGES CONCLUSIONS
The therapy options shown in these algorithms are based on the current AGO recommendations updated in January 2020 but cannot represent all evidence-based treatment options. Prior therapies, performance status, comorbidities, patient preference, etc. must be taken into account for the actual treatment choice. Therefore, in individual cases, other evidence-based treatment options not listed here may also be appropriate and justified.

Identifiants

pubmed: 33447235
doi: 10.1159/000511925
pii: brc-0015-0608
pmc: PMC7768141
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

608-618

Informations de copyright

Copyright © 2020 by S. Karger AG, Basel.

Déclaration de conflit d'intérêts

A. Schneeweiss reports grants from Celgene, Roche, and Abb­Vie, personal fees from Roche, AstraZeneca, Celgene, Pfizer, Novartis, MSD, Tesaro, and Lilly, and travel grants from Roche and Celgene. I. Bauerfeind reports honoraria from Novartis, Celgene, Pfizer, Roche, GSK, and Lilly. T. Fehm reports honoraria from Daiichi Sankyo, Novartis, Roche, Lilly, MSD, HelloHealthcare, Amgen, AstraZeneca, Pfizer, and Olympus. W. Janni reports grants and personal fees from Amgen, AstraZeneca, Daiichi Sankyo, Lilly, MSD, MSB, Novartis, Pfizer, and Roche. C. Thomssen reports honoraria from Amgen, AstraZeneca, Celgene, Daiichi Sankyo, Eisai, Lilly, MSD, Mylan, Nanostring, Novartis, Pfizer, Pierre Fabre, Puma, Roche, and Vifor. I. Witzel reports honoraria from Amgen, Celgene, Daiichi Sankyo, Lilly, MSD, Novartis, Pfizer, Roche, and TEVA. A. Wöckel reports personal fees from Amgen, Novartis, Eisai, Celgene, Pfizer, Tesaro, TEVA, Hexal Lilly, Roche, AstraZeneca, Sirtex, MSD, and Genomic Health. V. Müller reports institutional research support from Novartis, Roche, Seattle Genetics, and Genentech, honoraria from Amgen, AstraZeneca, Daiichi Sankyo, Eisai, Pfizer, MSD, Novartis, Roche, Teva, Seattle Genetics, Genomic Health, Hexal, Pierre Fabre, Amgen, ClinSol, MSD, Lilly, Tesaro, and Nektar, and travel grants from Roche, Pfizer, and Daiichi Sankyo.

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Auteurs

Andreas Schneeweiss (A)

National Center for Tumor Diseases, University Hospital and German Cancer Research Center, Heidelberg, Germany.

Ingo Bauerfeind (I)

Clinic for Gynecology and Obstetrics, Landshut, Germany.

Tanja Fehm (T)

Department of Gynecology and Obstetrics, University Hospital, Düsseldorf, Germany.

Wolfgang Janni (W)

Department of Gynecology and Obstetrics, University Hospital, Ulm, Germany.

Christoph Thomssen (C)

Department of Gynecology and Obstetrics, University Hospital, Halle, Germany.

Isabell Witzel (I)

Department of Gynecology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Achim Wöckel (A)

Department of Gynecology and Obstetrics, University Hospital, Würzburg, Germany.

Volkmar Müller (V)

Department of Gynecology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Classifications MeSH