Literature DB >> 22847811

A critical review why assessment of steroid hormone receptors in breast cancer should be quantitative.

O Brouckaert1, R Paridaens, G Floris, E Rakha, K Osborne, P Neven.   

Abstract

Steroid receptors have been around in the field of breast cancer for decades now. Still, controversy remains on how best to report steroid receptors. In this review, we will convince the reader why benefits outweigh pitfalls, when reporting steroid receptors in a quantitative rather than qualitative way. Summarizing decades of research in this field, we will explore the evidence why quantitative reporting is superior in all settings (neoadjuvant, adjuvant and metastatic settings). Furthermore, we will also summarize different staining methods, definitions and pitfalls that have shown to be important points of discussion in earlier debates. Although the molecular unraveling of breast cancer in the past decade has revolutionized the way we think about breast cancer, we should not easily abandon the classical pathological variables such as steroid receptors in favor of molecular tools.

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Year:  2012        PMID: 22847811     DOI: 10.1093/annonc/mds238

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  13 in total

1.  Is there any relationship between adc values of diffusion-weighted imaging and the histopathological prognostic factors of invasive ductal carcinoma?

Authors:  Hale Aydin; Bahar Guner; Isil Esen Bostanci; Zarife Melda Bulut; Bilgin Kadri Aribas; Lutfi Dogan; Mehmet Ali Gulcelik
Journal:  Br J Radiol       Date:  2018-01-12       Impact factor: 3.039

Review 2.  Endocrine resistance in breast cancer--An overview and update.

Authors:  Robert Clarke; John J Tyson; J Michael Dixon
Journal:  Mol Cell Endocrinol       Date:  2015-10-09       Impact factor: 4.102

3.  Clinical relevance of the reappraisal of negative hormone receptor expression in breast cancer.

Authors:  António E Pinto; Filipa Areia; Teresa Pereira; Paula Cardoso; Mariana Aparício; Giovani L Silva; Mónica C Ferreira; Saudade André
Journal:  Springerplus       Date:  2013-08-09

4.  Breastfeeding and Immunohistochemical Expression of ki-67, p53 and BCL2 in Infiltrating Lobular Breast Carcinoma.

Authors:  Angel Gonzalez-Sistal; Alicia Baltasar-Sánchez; Primitiva Menéndez; Jose Ignacio Arias; Álvaro Ruibal
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

Review 5.  Oestrogen receptor negativity in breast cancer: a cause or consequence?

Authors:  Vijaya Narasihma Reddy Gajulapalli; Vijaya Lakshmi Malisetty; Suresh Kumar Chitta; Bramanandam Manavathi
Journal:  Biosci Rep       Date:  2016-12-23       Impact factor: 3.840

6.  Expression of vitamin D receptor and vitamin D status in patients with oral neoplasms and effect of vitamin D supplementation on quality of life in advanced cancer treatment.

Authors:  Akshay Anand; Suyash Singh; Abhinav A Sonkar; Nuzhat Husain; Kul Ranjan Singh; Sudhir Singh; Jitendra K Kushwaha
Journal:  Contemp Oncol (Pozn)       Date:  2017-06-30

7.  De-escalated therapy for HR+/HER2+ breast cancer patients with Ki67 response after 2-week letrozole: results of the PerELISA neoadjuvant study.

Authors:  V Guarneri; M V Dieci; G Bisagni; A Frassoldati; G V Bianchi; G L De Salvo; E Orvieto; L Urso; T Pascual; L Paré; P Galván; M Ambroggi; C A Giorgi; G Moretti; G Griguolo; R Vicini; A Prat; P F Conte
Journal:  Ann Oncol       Date:  2019-06-01       Impact factor: 32.976

8.  Study assessing the quality of quantification of estrogen receptor protein expression by immunohistochemistry and gene expression in breast cancer.

Authors:  Sas Leen; Van Laere Steven; Dierick Anne Marie; Duwel Valérie; De Pauw Annemie; Van Den Eynden Gert; Van Dam Peter; Dirix Luc; Vermeulen Peter; Lardon Filip
Journal:  Patholog Res Int       Date:  2014-03-06

9.  Subtype classification for prediction of prognosis of breast cancer from a biomarker panel: correlations and indications.

Authors:  Chuang Chen; Jing-Ping Yuan; Wen Wei; Yi Tu; Feng Yao; Xue-Qin Yang; Jin-Zhong Sun; Sheng-Rong Sun; Yan Li
Journal:  Int J Nanomedicine       Date:  2014-02-21

10.  Assessment of the predictive role of pretreatment Ki-67 and Ki-67 changes in breast cancer patients receiving neoadjuvant chemotherapy according to the molecular classification: a retrospective study of 1010 patients.

Authors:  Rui Chen; Yin Ye; Chengcheng Yang; Yang Peng; Beige Zong; Fanli Qu; Zhenrong Tang; Yihua Wang; Xinliang Su; Hongyuan Li; Guanglun Yang; Shengchun Liu
Journal:  Breast Cancer Res Treat       Date:  2018-02-26       Impact factor: 4.872

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