Trial reportBreast cancer research : BCR2010
Changes in expression of oestrogen regulated and proliferation genes with neoadjuvant treatment highlight heterogeneity of clinical resistance to the aromatase inhibitor, letrozole.
Trial report in Breast cancer research : BCR, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.
- AKT-aro and HER2-aro, models for de novo resistance to aromatase inhibitors; molecular characterization and inhibitor response studies.Breast cancer research and treatment · 2012Pooled it
- Residual Breast Cancer Cells Co-opt SOX5-Driven Endochondral Ossification to Maintain Dormancy.Cancer discovery · 2026Article
- Article
- Article
- The NEOLETRIB trial: neoadjuvant treatment with Letrozole and Ribociclib in ER-positive, HER2-negative breast cancer.Future oncology (London, England) · 2024Article
- Chromatin Organization and Transcriptional Programming of Breast Cancer Cell Identity.Endocrinology · 2023Review
- Proteomic time course of breast cancer cells highlights enhanced sensitivity to Stat3 and Src inhibitors prior to endocrine resistance development.Cancer gene therapy · 2023Article
- Multi-omics analyses unravel DNA damage repair-related clusters in breast cancer with experimental validation.Frontiers in immunology · 2023Article
- Discovering gene regulatory networks of multiple phenotypic groups using dynamic Bayesian networks.Briefings in bioinformatics · 2022Article
- Suppressed estrogen supplyJournal of biomedical research · 2021Article
- Article
- Cancer gene expression profiles associated with clinical outcomes to chemotherapy treatments.BMC medical genomics · 2020Article
- Revisiting the Concept of Stress in the Prognosis of Solid Tumors: A Role for Stress Granules Proteins?Cancers · 2020Review
- Association of Sperm-Associated Antigen 5 and Treatment Response in Patients With Estrogen Receptor-Positive Breast Cancer.JAMA network open · 2020Article
- Flexible Data Trimming Improves Performance of Global Machine Learning Methods in Omics-Based Personalized Oncology.International journal of molecular sciences · 2020Article
- The therapeutic response of ER+/HER2- breast cancers differs according to the molecular Basal or Luminal subtype.NPJ breast cancer · 2020Article
- Molecular changes during extended neoadjuvant letrozole treatment of breast cancer: distinguishing acquired resistance from dormant tumours.Breast cancer research : BCR · 2019Article
- Key regulators of lipid metabolism drive endocrine resistance in invasive lobular breast cancer.Breast cancer research : BCR · 2018Article
- Predictive markers of endocrine response in breast cancer.World journal of experimental medicine · 2018Article
- FGFR1 underlies obesity-associated progression of estrogen receptor-positive breast cancer after estrogen deprivation.JCI insight · 2018Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionClinical resistance is a major factor limiting benefits to endocrine therapy. Causes of resistance may be diverse and the mechanism of resistance in individual breast cancers is usually unknown. The present study illustrates how changes in the expression of proliferation and oestrogen-regulated genes occurring during neoadjuvant treatment with the aromatase inhibitor, letrozole, may define distinctive tumour subgroups and suggest different mechanisms of resistance in clinically endocrine resistant breast cancers.
methodsPostmenopausal women with large primary oestrogen-receptor (ER)-rich breast cancers were treated neoadjuvantly with letrozole (2.5 mg daily) for three months. Clinical response was determined by ultrasound changes in tumour volume. Tumour ribonucleic acid (RNA) from biopsies taken before, after 14 days and after three months of treatment was hybridized on Affymetrix U133A chips. Changes in expression of KIAA0101, TFF3, SERPINA3, IRS-1 and TFF1 were taken as markers of oestrogen regulation and those in CDC2, CKS-2, Cyclin B1, Thymidine Synthetase and PCNA as markers of proliferation.
resultsFifteen tumours with < 50% volume reduction over three months of treatment were classified as being clinically non-responsive. Gene expression changes after 14 days of treatment with letrozole revealed different patterns of change in oestrogen regulated and proliferation genes in individual resistant tumours. Tumours could be separated into three different subgroups as follows: i) nine cases in which both proliferation and oestrogen signalling signatures were generally reduced on treatment (ii) four cases in which both signatures were generally unaffected or increased with treatment and (iii) two cases in which expression of the majority of oestrogen-regulated genes decreased whereas proliferation genes remained unchanged or increased. In 14 out of 15 tumours, RNA profiles were also available after three months of treatment. Patterns of change observed after 14 days were maintained or accentuated at three months in nine tumours but changes in patterns were apparent in the remaining five cancers.
conclusionsDifferent dynamic patterns of expression of oestrogen-regulated and proliferation genes were observed in tumours clinically resistant to neoadjuvant letrozole, thus illustrating heterogeneity of resistance and discriminating molecular sub-classes of resistant tumours. Molecular phenotyping might help to direct circumventing therapy suggesting the targeting of specific pathways in different tumour subtypes.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.