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Cited by 280

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Serum Circulating microRNA Profiling for Identification of Potential Breast Cancer Biomarkers

Open access
Mar-Aguilar, Fermín, Mendoza-Ramírez, Jorge A., Malagón-Santiago, Ismael, Espino-Silva, Perla K., Santuario-Facio, Sandra K., Ruiz-Flores, Pablo, Rodríguez-Padilla, Cristina, Reséndez-Pérez, Diana·2013·Disease Markers

Abstract

MicroRNAs (miRNAs) are a class of small, non-coding RNA molecules that can regulate gene expression, thereby affecting crucial processes in cancer development. miRNAs offer great potential as biomarkers for cancer detection because of their remarkable stability in blood and their characteristic expression in different diseases. We investigated whether quantitative RT-PCR miRNA profiling on serum could discriminate between breast cancer patients and healthy controls. We performed miRNA profiling on serum from breast cancer patients, followed by construction of ROC (Receiver Operating Characteristic) curves to determine the sensitivity and specificity of the assay. We found that seven miRNAs (miR-10b, miR-21, miR-125b, miR-145, miR-155 miR-191 and miR-382) had different expression patterns in serum of breast cancer patients compared to healthy controls. ROC curve analyses revealed that three serum miRNAs could be valuable biomarkers for distinguishing BC from normal controls. Additionally, a combination of ROC curve analyses of miR-145, miR-155 and miR-382 showed better sensitivity and specificity of our assay. miRNA profiling in serum has potential as a novel method for breast cancer detection in the Mexican population.

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Metadata

Authors
Mar-Aguilar, F., Mendoza-Ramírez, J. A., Malagón-Santiago, I., Espino-Silva, P. K., Santuario-Facio, S. K., Ruiz-Flores, P., Rodríguez-Padilla, C., & Reséndez-Pérez, D.
Venue
Disease Markers
Published
2013
Volume
34
Issue
3
Pages
163-169
ISSN
  • 0278-0240 (ISSN-L)
  • 1875-8630
OpenAlex
W4247249962
Cited by
280
References
34
FWCI
11.69
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Serum Circulating microRNA Profiling for Identification of Potential Breast Cancer Biomarkers. https://app.cochat.ai/papers/10.1155/2013/259454
The paper
Mar-Aguilar, F., Mendoza-Ramírez, J. A., Malagón-Santiago, I., Espino-Silva, P. K., Santuario-Facio, S. K., Ruiz-Flores, P., Rodríguez-Padilla, C., & Reséndez-Pérez, D. (2013). Serum Circulating microRNA Profiling for Identification of Potential Breast Cancer Biomarkers. Disease Markers. https://doi.org/10.1155/2013/259454

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.