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Reason: Datasets are available on NCBI Gene Expression Omnibus (GEO) summarized under SuperSeries GSE124648.

Metadata record supporting files in the related publication: “SET(ER/PR) - A robust 18-gene Predictor for Sensitivity to Endocrine Therapy for Metastatic Breast Cancer”

online resource
posted on 2019-06-10, 16:03 authored by Bruno Valentin Sinn, Chunxiao Fu, Rosanna Lau, Jennifer Litton, Tsung-Heng Tsai, Rashmi Murthy, Alda Tam, Eleni Andreopoulou, Yun Gong, Ravi Murthy, Rebekah Gould, Ya Zhang, Tari A King, Agnes Viale, Victor Andrade, Dilip Giri, Roberto Salgado, Ioanna Laios, Christos Sotiriou, Esmeralda C Marginean, Danielle N Kwiatkowski, Rachel M Layman, Daniel Booser, Christos Hatzis, Vicente Valero V, W Fraser Symmans

This metadata record describes the gene expression data supporting the figures and tables in the related manuscript: “SETER/PR - A robust 18-gene Predictor for Sensitivity to Endocrine Therapy for Metastatic Breast Cancer”


Study aims, design and methodology:
The study used microarrays and a customized RNA sequencing assay to measure sensitivity to endocrine therapy (SET) of hormone receptor positive (HR+), HER2-negative metastatic breast cancers, based on expression signatures of estrogen receptor (ESR1)- and progesterone receptor (PGR)-related gene transcripts. The SETER/PR index can be used as a diagnostic tool to measure the transcription of genes associated with ESR1 and PGR expression and thus to predict sensitivity to endocrine therapy for metastatic breast cancer.

The discovery cohort of Affymetrix U133A microarrays consisted of a total of 389 samples of invasive hormone-receptor-positive breast cancers. RNA was extracted from a total of 140 HR+/HER2-negative metastatic breast cancer patient samples, processed and hybridised to the Affymetrix U133A microarrays. Eighteen gene transcripts, correlated with both ESR1 and PGR expression, and 10 reference gene transcripts were selected for inclusion in the SETER/PR index. Additionally, the ligand binding domain (LBD) of ESR1 was sequenced using droplet-based targeted RNAseq, to determine whether ESR1 mutations are associated with endocrine resistance and SETER/PR status

Data files:
All the data supporting the figures and tables of the related manuscript can be accessed from the NCBI Gene Expression Omnibus (GEO) repository. These include microarray and RNAseq data from patients with metastatic hormone receptor-positive (HR+), HER2-negative breast cancer.

Data supporting figures and tables:

Data supporting figure 2: Data showing the progression-free (A) and overall survival (B) in patients with HR+/HER2-negative metastatic breast cancer with high and low SETER/PR index who received endocrine therapy as next treatment.


Data supporting figure 3: Correlation of SETER/PR measurements derived from the RNAseq assay with SETER/PR measurements from the Affymetrix U133A microarray assays in hormone receptor positive (HR+), HER2-negative metastatic breast cancers with and without a mutation (WT) in the LBD of ESR1 (A). Correlation of SETER/PR measurements with ESR1 mutant allele frequency (B). Data showing the progression free (C) and overall survival (D) for patients with HR+/HER2-negative metastatic breast cancer who received endocrine therapy as next treatment and had a high SETER/PR, low high SETER/PR and a mutated ESR1 gene, respectively.


Data supporting Table 1: The table describes the characteristics of 140 patients with HR+, HER2-negative metastatic breast cancers.


Data supporting Tables 2 and 3 show cox regression analyses data for prediction of progression-free and overall survival respectively, in patients with HR+, HER2-negative metastatic breast cancer, using the dichotomized SETER/PR.


Data supporting Figures 2 and 3 and Tables 1, 2 and 3 can be accessed from the GEO repository using the accession number GSE124647 (http://identifiers.org/geo:GSE124647).


Data supporting Supplementary Figure S1: Data showing the expression levels of ESR1- and PGR- associated genes (A) and reference genes (B) from the hormone receptor-positive discovery cohort of Affymetrix U133A microarrays. In C, mean (gene expression) of target genes is plotted against the mean (gene expression) of reference genes for breast cancer cases with different receptor status. In D, breast cancer cases associated with different receptor status were assigned a SETER/PR score. Data supporting Supplementary Figure S1 can be accessed from the GEO repository using the accession number GSE129551 (http://identifiers.org/geo:GSE129551).


Data supporting Supplementary Figure S2: The intraclass correlation coefficient was used to evaluate intra-assay reproducibility of SETER/PR values by performing six technical replicates for each sample (A, GSE129558, http://identifiers.org/geo:GSE129558). Intra-tumoral reproducibility was evaluated by performing three technical replicates for each tumor sample (B, GSE129557, http://identifiers.org/geo:GSE129557). Tissue type reproducibility (cytology vs. surgical tissue) of SETER/PR was also evaluated (C, GSE129559, http://identifiers.org/geo:GSE129559). SETER/PR reproducibility between two different types of microarray platform (Plus2.0 and U133A) was also evaluated (D, GSE129556, http://identifiers.org/geo:GSE129556).


Data supporting Supplementary Figure S3: Effect on SETER/PR of contamination of cancer tissue with different percentages of liver tissue (A, GSE33116, http://identifiers.org/geo:GSE33116) and normal breast tissue (B, GSE124646, http://identifiers.org/geo:GSE124646). Effect of cold ischemic time and RNA stabilization method on SETER/PR measurements (C, GSE25011, http://identifiers.org/geo:GSE25011). Inter-platform reproducibility of SETER/PR was validated on an independent dataset of 32 cases (D, GSE17700, http://identifiers.org/geo:GSE17700). Inter-laboratory reproducibility of SETER/PR values was validated by plotting SETER/PR values from U133A and Plus2.0 microarray platforms obtained from the JBI laboratory, against SETER/PR values from U133A and Plus2.0 microarray platforms obtained from the MDACC laboratory (E, GSE17700, http://identifiers.org/geo:GSE17700). To validate the technical reproducibility of U133A microarrays, SETER/PR values from two technical replicates of an independent dataset of 63 cases, were plotted against each other (F, GSE129560, http://identifiers.org/geo:GSE129556).


Data supporting Supplementary Figure S4: For 140 patients with HR+, HER2-negative metastatic breast cancers, the range of SETER/PR was compared in samples from different sites of metastasis (A). The range of SETER/PR was compared between samples with different progesterone receptor (PGR) status (B). The range of SETER/PR was compared between cases with prior or no prior sensitivity to endocrine therapy (C). Hazard ratios and 95 % confidence intervals of Cox regression analyses for disease-free survival in metastatic breast cancer patients that received endocrine therapy as next treatment are shown in part D. Data supporting Supplementary Figure S4 can be accessed from the GEO repository using the accession number GSE124647 (http://identifiers.org/geo:GSE124647).


Data supporting Supplementary Figure S5: SETER/PR values from U133A microarrays were plotted against SETER/PR values obtained from a customized RNA-seq assay (A). The microarray replicates were used to validate the technical reproducibility of SETER/PR (B). Data supporting Supplementary Figure S5 can be accessed from the GEO repository using the accession number GSE129560 (http://identifiers.org/geo:GSE129560).


Data supporting Supplementary Table S1: Table S1 describes the sample characteristics of the discovery dataset. Data supporting Supplementary Table S1 can be accessed from the GEO repository using the accession number GSE129551 (http://identifiers.org/geo:GSE129551).


Data supporting Supplementary Table S2: List of target genes, whose transcription is associated with the expression of Estrogen (ESR1) and the Progesterone receptors (PGR), and a list of reference genes, all of which have been used for the calculation of the SETER/PR index. The table can be found in the supplementary information of the related manuscript.


Data supporting Supplementary Table S3: The table shows the mixed-effects analysis of the effect of tissue preservation method (snap frozen vs. RNAlater) and prolonged cold ischemic delay (0 vs. 40 min) on SETER/PR measurements and the mixed-effects analysis of the effect of prolonged cold ischemic delay (0, 20, 40, 60, 120, 180 min) on SETER/PR measurements. Data supporting Supplementary Table S3 can be accessed from the GEO repository using the accession number GSE25011 (http://identifiers.org/geo:GSE25011).


Data supporting Supplementary Table S4: The table shows Cox regression analyses, including the variables used for prediction of progression-free and overall survival in patients with hormone receptor positive (HR+), HER2-negative metastatic breast cancer who received chemotherapy and endocrine therapy, respectively, as the next treatment. Data supporting Supplementary Table S3 can be accessed from the GEO repository using the accession number GSE124647 (http://identifiers.org/geo:GSE124647).


Name of IRB that approved the study: All patients gave informed written consent for the use of tissue material for research purposes. Protocols were approved by the MD Anderson Institutional Review Board (IRB).


Funding

This work was supported in part by The Breast Cancer Research Foundation (WFS) and in part by Federal Funds from the National Cancer Institute, National Institutes of Health, under contract no. HHSN261200800001E, grant no. R2ICAII8156 (WFS) and no. 1U01CA215547 (WFS and CH). BVS was supported by funds from the German Research Foundation (DFG), grant no. SI 1919/1-1 and by the BIH Charité Clinician Scientist Program funded by the Charité - Universitätsmedizin Berlin and the Berlin Institute of Health. The Affymetrix GeneChip DX2 instruments were provided to the research laboratory as a gift from the Stading Family. The RainDance Source instrument was provided to the research laboratory as a gift from the Toomim Family Fund (JL).

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