Dataset Information

MiR-100 is a predictor of endocrine responsiveness and prognosis in patients with operable luminal breast cancer.

ABSTRACT: PURPOSE:Overexpression of miR-100 in stem cells derived from basal-like breast cancers causes loss of stemness, induction of luminal breast cancer markers and response to endocrine therapy. We, therefore, explored miR-100 as a novel biomarker in patients with luminal breast cancer. METHODS:miR-100 expression was studied in 90 patients with oestrogen-receptor-positive/human-epidermal growth factor receptor 2-negative breast cancer enrolled in a prospective study of endocrine therapy given either preoperatively, or for the treatment of de novo metastatic disease. Response was defined as a Ki67 ?2.7% after 21±3 days of treatment. The prognostic role of miR-100 expression was evaluated in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) and The Cancer Genome Atlas (TCGA) breast cancer datasets. Additionally, we explored the correlation between miR-100 and the expression its targets reported as being associated with endocrine resistance. Finally, we evaluated whether a signature based on miR-100 and its target genes could predict the luminal A molecular subtype. RESULTS:Baseline miR-100 was significantly anticorrelated with baseline and post-treatment Ki67 (p<0.001?and 0.004, respectively), and independently associated with response to treatment (OR 3.329, p=0.047). In the METABRIC dataset, high expression of miR-100 identified women with luminal A tumours treated with adjuvant endocrine therapy with improved overall survival (HR 0.55, p<0.001). miR-100 was negatively correlated with PLK1, FOXA1, mTOR and IGF1R expression, potentially explaining its prognostic effect. Finally, a miR-100-based signature developed in patients enrolled in the prospective study outperformed Ki67 alone in predicting the luminal A phenotype. CONCLUSIONS:Our findings suggest that miR-100 should be further explored as a biomarker in patients with luminal breast cancer.

SUBMITTER: Petrelli A

PROVIDER: S-EPMC7597498 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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MiR-100 is a predictor of endocrine responsiveness and prognosis in patients with operable luminal breast cancer.

Petrelli Annalisa A Bellomo Sara Erika SE Sarotto Ivana I Kubatzki Franziska F Sgandurra Paola P Maggiorotto Furio F Di Virgilio Maria Rosaria MR Ponzone Riccardo R Geuna Elena E Galizia Danilo D Nuzzo Anna Maria AM Medico Enzo E Miglio Umberto U Berrino Enrico E Venesio Tiziana T Ribisi Salvatore S Provero Paolo P Sapino Anna A Giordano Silvia S Montemurro Filippo F

ESMO open 20201001 5

<h4>Purpose</h4>Overexpression of miR-100 in stem cells derived from basal-like breast cancers causes loss of stemness, induction of luminal breast cancer markers and response to endocrine therapy. We, therefore, explored miR-100 as a novel biomarker in patients with luminal breast cancer.<h4>Methods</h4>miR-100 expression was studied in 90 patients with oestrogen-receptor-positive/human-epidermal growth factor receptor 2-negative breast cancer enrolled in a prospective study of endocrine therap ...[more]

PMID: 33122354

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Project description:PURPOSE:Hormone receptor-positive (HR+) tumors have heterogeneous biology and present a challenge for determining optimal treatment. In the Neoadjuvant Breast Registry Symphony Trial (NBRST) patients were classified according to MammaPrint/BluePrint subtyping to provide insight into the response to neoadjuvant endocrine therapy (NET) or neoadjuvant chemotherapy (NCT). OBJECTIVE:The purpose of this predefined substudy was to compare MammaPrint/BluePrint with conventional 'clinical' immunohistochemistry/fluorescence in situ hybridization (IHC/FISH) subtyping in 'clinical luminal' [HR+/human epidermal growth factor receptor 2-negative (HER2-)] breast cancer patients to predict treatment sensitivity. METHODS:NBRST IHC/FISH HR+/HER2- breast cancer patients (n = 474) were classified into four molecular subgroups by MammaPrint/BluePrint subtyping: Luminal A, Luminal B, HER2, and Basal type. Pathological complete response (pCR) rates were compared with conventional IHC/FISH subtype. RESULTS:The overall pCR rate for 'clinical luminal' patients to NCT was 11 %; however, 87 of these 474 patients were reclassified as Basal type by BluePrint, with a high pCR rate of 32 %. The MammaPrint index was highly associated with the likelihood of pCR (p < 0.001). Fifty-three patients with BluePrint Luminal tumors received NET with an aromatase inhibitor and 36 (68 %) had a clinical response. CONCLUSIONS:With BluePrint subtyping, 18 % of clinical 'luminal' patients are classified in a different subgroup, compared with conventional assessment, and these patients have a significantly higher response rate to NCT compared with BluePrint Luminal patients. MammaPrint/BluePrint subtyping can help allocate effective treatment to appropriate patients. In addition, accurate identification of subtype biology is important in the interpretation of neoadjuvant treatment response since lack of pCR in luminal patients does not portend the worse prognosis associated with residual disease in Basal and HER2 subtypes.

Project description:Background: We have previously shown that the Gene expression Grade Index (GGI) was able to identify two subtypes of estrogen receptor (ER)-positive tumors that were associated with statistically distinct clinical outcomes in both untreated and tamoxifen-treated patients. Here, we aim to investigate the ability of the GGI to predict relapses in postmenopausal women who were treated with tamoxifen (T) or letrozole (L) within the BIG 1-98 trial. Methods: We generated gene expression profiles (Affymetrix) and computed the GGI for a matched, case-control sample of patients enrolled in the BIG 1-98 trial from the two hospitals where frozen samples were available. All relapses (cases) were identified from patients randomized to receive monotherapy or from the switching treatment arms for whom relapse occurred before the switch. Each case was randomly matched with four controls based upon nodal status and treatment (T or L). The prognostic value of GGI was assessed as a continuous predictor and divided at the median. Predictive accuracy of GGI was estimated using time-dependent area under the curve (AUC) of the ROC curves. Results: Frozen samples were analyzable for 48 patients (10 cases and 38 controls). Seven of the 10 cases had been assigned to receive L. Cases and controls were comparable with respect to menopausal and nodal status, local and chemotherapy, and HER2 positivity. Cases were slightly older than controls and had a larger proportion of large, poorly differentiated ER+/PgR- tumors. The GGI was significantly and linearly related to risk of relapse: each 10-unit increase in GGI resulted in an increase of approximately 11% in the hazard rate (p=0.02). Within the subgroups of patients with node-positive disease or who were treated with L, the hazard of relapse was significantly greater for patients with GGI at or above the median. AUC reached a maximum of 78% at 27 months. Conclusions: This analysis supports the GGI as a good predictor of relapse for ER-positive patients, even among patients who receive L. Validation of these results, in a larger series from BIG 1-98, is planned using the simplified GGI represented by a smaller set of genes and tested by qRT-PCR on paraffin-embedded tissues. Test whether the Gene expression Grade Index (GGI) is a potential predictor of relapse for endocrine-treated breast cancer patients in the BIG 1-98 trial. 55 microarray experiments from primary breast tumors of endocrine-treated patients. No replicate, no reference sample.

Project description:IntroductionIn COVID-19 pandemic epicenters cancer care was severely impacted. All elective and semi-elective procedures, as well as select urgent cases, were postponed in order to preserve resources and protect patients and staff from SARS-CoV-2 exposure. Structured decision making for breast cancer treatment resulted in deferment of surgery with initiation of endocrine therapy. Moreover, the waitlist for elective breast cancer procedures after mitigation is a challenge for prioritization.Objective and significanceWe aim to summarize the current body of evidence, comparatively evaluate oncological outcomes of surgery versus primary endocrine therapy (PET), and determine whether PET is a viable long-term alternative to surgery in the context of crisis management strategy for early, operable hormone receptor positive (HRP) breast cancer. PET could potentially be an acceptable bridging or maintenance therapy in select patients during pandemic crisis or for those choosing to forgo surgery in the treatment of breast cancer.Methods and analysisThe database search includes PubMed, EMBASE, and MEDLINE (via Ovid). This systematic review includes women 18 years or older undergoing one of two interventions for HRP breast cancer: surgery (with or without endocrine therapy post-surgery) or solely PET. Studies comparing one of the two interventions of interest to a non-relevant intervention and studies reporting only descriptive data will not be included in the quantitative synthesis of data. After selection of eligible studies based on title and abstract, these studies will be further screened through full text articles by two independent reviewers, with a third as an arbitrator. Eligible studies will be critically appraised at the study level for methodological quality. Cochrane methodology will be utilized for meta-analysis.Ethics and disseminationThis study does not require an institutional review board approval given its summary design nature. Findings of this systematic review will be published in a peer-reviewed journal.

Dataset Information

MiR-100 is a predictor of endocrine responsiveness and prognosis in patients with operable luminal breast cancer.

Publications

MiR-100 is a predictor of endocrine responsiveness and prognosis in patients with operable luminal breast cancer.

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