Literature DB >> 24074788

Personalized adjuvant therapies: lessons from the past: the opening address by the St. Gallen 2013 award recipient.

Aron Goldhirsch1.   

Abstract

For several decades, personalized adjuvant therapies have been prescribed based on features that predict response to specific types of treatment. In this summary four specific issues regarding adjuvant therapies are described. Each one developed using information from past experience and is ready to be challenged by future findings from clinical trials and maturation of follow-up data. 1) Accuracy of determination of steroid hormone receptors and of HER2-status was the key feature in International Breast Cancer Study Group (IBCSG) and Breast International Group (BIG) trials. 2) Investigations on ovarian function suppression in IBCSG clinical trials led to the design of two trials (SOFT and TEXT), which are likely to lead to improved adjuvant therapy for premenopausal women with breast cancer. 3) Data from the BIG 1-98 trial of letrozole vs tamoxifen for postmenopausal patients with endocrine-responsive breast cancer provided information on which patients might obtain increased benefit from aromatase inhibitors and which might achieve similar treatment outcome with tamoxifen alone. 4) Finally, low-dose, frequently administered cytotoxics (metronomic chemotherapy) were tested in advanced disease with surprisingly favorable disease control and very low incidence of side effects. Personalized treatments are likely to improve substantially with increasingly accurate determination of their targets and by using risk- and toxicity-modulated therapies.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast Cancer Treatment Guidelines; Breast Cancer: Optimal Primary Therapy; Primary Breast Cancer; St. Gallen Breast Cancer Consensus

Mesh:

Substances:

Year:  2013        PMID: 24074788     DOI: 10.1016/j.breast.2013.07.001

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  7 in total

1.  Breast carcinoma subtypes show different patterns of metastatic behavior.

Authors:  István Artúr Molnár; Béla Ákos Molnár; Laura Vízkeleti; Krisztina Fekete; Judit Tamás; Péter Deák; Csilla Szundi; Borbála Székely; Judit Moldvay; Stefan Vári-Kakas; Marcell A Szász; Balázs Ács; Janina Kulka; Anna-Mária Tőkés
Journal:  Virchows Arch       Date:  2017-01-19       Impact factor: 4.064

2.  Transcribed Ultraconserved Regions Are Associated with Clinicopathological Features in Breast Cancer.

Authors:  Erika Pereira Zambalde; Douglas Adamoski; Daniela Fiori Gradia; Iris Rabinovich; Ana Carolina Rodrigues; Cristina Ivan; Enilze M S F Ribeiro; George Adrian Calin; Jaqueline Carvalho de Oliveira
Journal:  Biomolecules       Date:  2022-01-26

3.  A novel lncRNA derived from an ultraconserved region: lnc-uc.147, a potential biomarker in luminal A breast cancer.

Authors:  Erika Pereira Zambalde; Recep Bayraktar; Tayana Schultz Jucoski; Cristina Ivan; Ana Carolina Rodrigues; Carolina Mathias; Erik Knutsen; Rubens Silveira de Lima; Daniela Fiori Gradia; Enilze Maria de Souza Fonseca Ribeiro; Samir Hannash; George Adrian Calin; Jaqueline Carvalhode Oliveira
Journal:  RNA Biol       Date:  2021-08-13       Impact factor: 4.766

4.  MicroRNA-137 Inhibits Cancer Progression by Targeting Del-1 in Triple-Negative Breast Cancer Cells.

Authors:  Soo Jung Lee; Jae-Hwan Jeong; Seung Hee Kang; Jieun Kang; Eun Ae Kim; Jeeyeon Lee; Jin Hyang Jung; Ho Yong Park; Yee Soo Chae
Journal:  Int J Mol Sci       Date:  2019-12-06       Impact factor: 5.923

5.  MicroRNA-496 inhibits triple negative breast cancer cell proliferation by targeting Del-1.

Authors:  Soo Jung Lee; Jae-Hwan Jeong; Jeeyeon Lee; Ho Yong Park; Jin Hyang Jung; Jieun Kang; Eun Ae Kim; Nora Jee-Young Park; Ji-Young Park; In Hee Lee; Yee Soo Chae
Journal:  Medicine (Baltimore)       Date:  2021-04-09       Impact factor: 1.817

6.  Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013.

Authors:  A Goldhirsch; E P Winer; A S Coates; R D Gelber; M Piccart-Gebhart; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2013-08-04       Impact factor: 32.976

7.  Individualized lncRNA differential expression profile reveals heterogeneity of breast cancer.

Authors:  Zhangxiang Zhao; YingYing Guo; Yaoyao Liu; Lichun Sun; Bo Chen; Chengyu Wang; Tingting Chen; Yuquan Wang; Yawei Li; Qi Dong; Liqiang Ai; Ran Wang; Yunyan Gu; Xia Li
Journal:  Oncogene       Date:  2021-06-15       Impact factor: 9.867

  7 in total

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