Literature DB >> 23131391

RNA-based determination of ESR1 and HER2 expression and response to neoadjuvant chemotherapy.

C Denkert1, S Loibl, R Kronenwett, J Budczies, C von Törne, V Nekljudova, S Darb-Esfahani, C Solbach, B V Sinn, C Petry, B M Müller, J Hilfrich, G Altmann, A Staebler, C Roth, B Ataseven, T Kirchner, M Dietel, M Untch, G von Minckwitz.   

Abstract

BACKGROUND: Hormone and human epidermal growth factor receptor 2 (HER2) receptors are the most important breast cancer biomarkers, and additional objective and quantitative test methods such as messenger RNA (mRNA)-based quantitative analysis are urgently needed. In this study, we investigated the clinical validity of RT-PCR-based evaluation of estrogen receptor (ESR1) and HER2 mRNA expression. PATIENTS AND METHODS: A total of 1050 core biopsies from two retrospective (GeparTrio, GeparQuattro) and one prospective (PREDICT) neoadjuvant studies were evaluated by quantitative RT-PCR for ESR1 and HER2.
RESULTS: ESR1 mRNA was significantly predictive for reduced response to neoadjuvant chemotherapy in univariate and multivariate analysis in all three cohorts. The complete pathologically documented response (pathological complete response, pCR) rate for ESR1+/HER2- tumors was 7.3%, 8.0% and 8.6%; for ESR1-/HER2- tumors it was 34.4%, 33.7% and 37.3% in GeparTrio, GeparQuattro and PREDICT, respectively (P < 0.001 in each cohort). In the Kaplan-Meier analysis in GeparTrio patients with ESR1+/HER2- tumors had the best prognosis, compared with ESR1-/HER2- and ESR1-/HER2+ tumors [disease-free survival (DFS): P < 0.0005, overall survival (OS): P < 0.0005].
CONCLUSIONS: Our results suggest that mRNA levels of ESR1 and HER2 predict response to neoadjuvant chemotherapy and are significantly associated with long-term outcome. As an additional option to standard immunohistochemistry and gene-array-based analysis, quantitative RT-PCR analysis might be useful for determination of the receptor status in breast cancer.

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Year:  2012        PMID: 23131391     DOI: 10.1093/annonc/mds339

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


  12 in total

Review 1.  [Gene expression analysis in breast cancer. A new diagnostic tool in pathology].

Authors:  C Denkert
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2.  The challenge of triple negative breast cancers.

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Review 3.  [Molecular classification of bladder cancer. Possible similarities to breast cancer].

Authors:  R M Wirtz; V Fritz; R Stöhr; A Hartmann
Journal:  Pathologe       Date:  2016-02       Impact factor: 1.011

4.  HER2 mRNA transcript quantitation in breast cancer.

Authors:  K Meehan; B Clynick; B Mirzai; P Maslen; J M Harvey; W N Erber
Journal:  Clin Transl Oncol       Date:  2016-11-11       Impact factor: 3.405

5.  Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility.

Authors:  P Sinn; S Aulmann; R Wirtz; S Schott; F Marmé; Z Varga; A Lebeau; H Kreipe; A Schneeweiss
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6.  Molecular Investigation of Human Cytomegalovirus and Epstein-Barr virus in Glioblastoma Brain Tumor: A Case-Control Study in Iran

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Journal:  Iran Biomed J       Date:  2021-11-01

7.  Differential expression and prognostic value of the chemokine receptor CXCR4 in bronchopulmonary neuroendocrine neoplasms.

Authors:  Daniel Kaemmerer; Christiane Reimann; Elisa Specht; Ralph M Wirtz; Manal Sayeg; Richard P Baum; Stefan Schulz; Amelie Lupp
Journal:  Oncotarget       Date:  2015-02-20

8.  A Majority of Low (1-10%) ER Positive Breast Cancers Behave Like Hormone Receptor Negative Tumors.

Authors:  Jyothi S Prabhu; Aruna Korlimarla; Krisha Desai; Annie Alexander; Rohini Raghavan; Ce Anupama; Nandini Dendukuri; Suraj Manjunath; Marjorrie Correa; N Raman; Anjali Kalamdani; Msn Prasad; K S Gopinath; B S Srinath; T S Sridhar
Journal:  J Cancer       Date:  2014-01-23       Impact factor: 4.207

9.  KRT20, KRT5, ESR1 and ERBB2 Expression Can Predict Pathologic Outcome in Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy for Muscle-Invasive Bladder Cancer.

Authors:  Hendrik Jütte; Moritz Reike; Ralph M Wirtz; Maximilian Kriegmair; Philipp Erben; Karl Tully; Veronika Weyerer; Markus Eckstein; Arndt Hartmann; Sebastian Eidt; Felix Wezel; Christian Bolenz; Andrea Tannapfel; Joachim Noldus; Florian Roghmann
Journal:  J Pers Med       Date:  2021-05-26

10.  Thymosin beta 15A (TMSB15A) is a predictor of chemotherapy response in triple-negative breast cancer.

Authors:  S Darb-Esfahani; R Kronenwett; G von Minckwitz; C Denkert; M Gehrmann; A Rody; J Budczies; J C Brase; M K Mehta; H Bojar; B Ataseven; T Karn; E Weiss; D M Zahm; F Khandan; M Dietel; S Loibl
Journal:  Br J Cancer       Date:  2012-10-18       Impact factor: 7.640

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