ID
45461
Description
Principal Investigator: Richard Wilson, PhD, Washington University School of Medicine, St. Louis, MO, USA MeSH: https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000472 Highly variable outcomes are observed in patients with estrogen receptor positive (ER+) breast cancer who undergo preoperative estrogen deprivation therapy with aromatase inhibitors (AI). In this study, 46 baseline tumor and normal genomes and 31 baseline tumor/normal exomes of participants selected from two clinical trials of neoadjuvant AI therapy on ER+ breast cancer were sequenced to identify somatic alterations that correlate with response to AI, to screen for therapeutic targets and to elucidate the genetic landscape of ER+ breast cancer. From the same set of patients we later performed deep genomic characterization of a subset of matched primary tumors after four months of AI therapy, generating comprehensive information about the range of changes that occur when ER+ breast cancers are subjected to estrogen deprivation. This data includes whole genome sequence and transcriptome data. To better understand tumor heterogeneity and the evolution of resistance to estrogen-deprivation therapy, a subset of these tumours, along with 38 additional cases were sequenced to greater depth using targeted capture with a gene panel.
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Keywords
Versions (2)
- 10/24/22 10/24/22 - Simon Heim
- 12/12/22 12/12/22 - Kristina Keller
Copyright Holder
Richard Wilson, PhD, Washington University School of Medicine, St. Louis, MO, USA
Uploaded on
December 12, 2022
DOI
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License
Creative Commons BY 4.0
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dbGaP phs000472 Estrogen Receptor Positive Breast Cancer: Aromatase Inhibitor Response Study
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent data table contains subject IDs, consent group information, and affection status for estrogen receptor positive (ER+) breast cancer.
- The subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- The subject phenotype data table includes age of enrollment (n=1 variable), tumor pathology (n=10 variables; baseline breast cancer luminal subtype, tumor shape, grade, maximum dimension, number of positive nodes, pathological tumor and node stage, and general comments), PEPI RFS score (n=2 variables), WHO clinical response (n=1 variable) and breast cancer biomarkers (n=15 variables; ER+, Ki-67, and Her2).
- The sample attributes data table includes sample type, body site where sample was extracted, sample analyte type, histological type, and time of tumor sample collection.
- The pre- and post-subject phenotype data table includes age, sequence of events (n=9 variables; event and recurrence of event, adverse event, follow-up time, survival status, and cause of death), surgical status (n=2 variables), tumor pathology (n=6 variables; baseline tumor type and grade, number of positive nodes, node and tumor stage, and tumor dimension), PEPI RFS score (n=2 variables), and breast cancer biomarkers (n=6 variables; Allred ER+ score and Ki-67).
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent data table contains subject IDs, consent group information, and affection status for estrogen receptor positive (ER+) breast cancer.
- The subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- The subject phenotype data table includes age of enrollment (n=1 variable), tumor pathology (n=10 variables; baseline breast cancer luminal subtype, tumor shape, grade, maximum dimension, number of positive nodes, pathological tumor and node stage, and general comments), PEPI RFS score (n=2 variables), WHO clinical response (n=1 variable) and breast cancer biomarkers (n=15 variables; ER+, Ki-67, and Her2).
- The sample attributes data table includes sample type, body site where sample was extracted, sample analyte type, histological type, and time of tumor sample collection.
- The pre- and post-subject phenotype data table includes age, sequence of events (n=9 variables; event and recurrence of event, adverse event, follow-up time, survival status, and cause of death), surgical status (n=2 variables), tumor pathology (n=6 variables; baseline tumor type and grade, number of positive nodes, node and tumor stage, and tumor dimension), PEPI RFS score (n=2 variables), and breast cancer biomarkers (n=6 variables; Allred ER+ score and Ki-67).
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