ArticleOncotarget2016
Discovery and replication of microRNAs for breast cancer risk using genome-wide profiling.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Cancer-specific risk prediction with a serum microRNA signature.Cancer science · 2024Article
- Regulatory Mechanisms of Epigenetic miRNA Relationships in Human Cancer and Potential as Therapeutic Targets.Cancers · 2020Review
- Five microRNAs in Serum Are Able to Differentiate Breast Cancer Patients From Healthy Individuals.Frontiers in oncology · 2020Article
- Circulating miRNAs as Diagnostic and Prognostic Biomarkers in Common Solid Tumors: Focus on Lung, Breast, Prostate Cancers, and Osteosarcoma.Journal of clinical medicine · 2019Review
- Review
- Why the Gold Standard Approach by Mammography Demands Extension by Multiomics? Application of Liquid Biopsy miRNA Profiles to Breast Cancer Disease Management.International journal of molecular sciences · 2019Review
- Article
- Review
- Development of a predictive miRNA signature for breast cancer risk among high-risk women.Oncotarget · 2017Article
- Role of Nerve Growth Factor (NGF) and miRNAs in Epithelial Ovarian Cancer.International journal of molecular sciences · 2017Review
Corrections and comments
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Authors and funding
16 authors at 8 institutions in 2 countries.
Funding
Abstract
backgroundGenome-wide miRNA expression may be useful for predicting breast cancer risk and/or for the early detection of breast cancer.
resultsA 41-miRNA model distinguished breast cancer risk in the discovery study (accuracy of 83.3%), which was replicated in the independent study (accuracy = 63.4%, P=0.09). Among the 41 miRNA, 20 miRNAs were detectable in serum, and predicted breast cancer occurrence within 18 months of blood draw (accuracy 53%, P=0.06). These risk-related miRNAs were enriched for HER-2 and estrogen-dependent breast cancer signaling. MATERIALS AND
methodsMiRNAs were assessed in two cross-sectional studies of women without breast cancer and a nested case-control study of breast cancer. Using breast tissues, a multivariate analysis was used to model women with high and low breast cancer risk (based upon Gail risk model) in a discovery study of women without breast cancer (n=90), and applied to an independent replication study (n=71). The model was then assessed using serum samples from the nested case-control study (n=410).
conclusionsStudying breast tissues of women without breast cancer revealed miRNAs correlated with breast cancer risk, which were then found to be altered in the serum of women who later developed breast cancer. These results serve as proof-of-principle that miRNAs in women without breast cancer may be useful for predicting breast cancer risk and/or as an adjunct for breast cancer early detection. The miRNAs identified herein may be involved in breast carcinogenic pathways because they were first identified in the breast tissues of healthy women.
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Registered trials
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.