The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Novel combination of serum microRNA for detecting breast cancer in the early stage
Open accessAbstract
MicroRNA (miRNA), which are stably present in serum, have been reported to be potentially useful for detecting cancer. In the present study, we examined the expression profiles of serum miRNA in several large cohorts to identify novel miRNA that can be used to detect early stage breast cancer. We comprehensively evaluated the serum miRNA expression profiles using highly sensitive microarray analysis. A total of 1280 serum samples of breast cancer patients stored in the National Cancer Center Biobank were used. In addition, 2836 serum samples were obtained from non‐cancer controls, 451 from patients with other types of cancers, and 63 from patients with non‐breast benign diseases. The samples were divided into a training cohort including non‐cancer controls, other cancers and breast cancer, and a test cohort including non‐cancer controls and breast cancer. The training cohort was used to identify a combination of miRNA that could detect breast cancer, and the test cohort was used to validate that combination. miRNA expressions were compared between patients with breast cancer and non‐breast cancer, and a combination of five miRNA (miR‐1246, miR‐1307‐3p, miR‐4634, miR‐6861‐5p and miR‐6875‐5p) was found to be able to detect breast cancer. This combination had a sensitivity of 97.3%, specificity of 82.9% and accuracy of 89.7% for breast cancer in the test cohort. In addition, this combination could detect early stage breast cancer (sensitivity of 98.0% for Tis).
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Modern Applied Statistics with S
Venables, W. N., & Ripley, B. D. (2002) · Statistics and Computing · doi:10.1007/978-0-387-21706-2 · Cited by 24,305
Tominaga, N., Kosaka, N., Ono, M., Katsuda, T., Yoshioka, Y., Tamura, K., Lötvall, J., Nakagama, H., & Ochiya, T. (2015) · Nature Communications · doi:10.1038/ncomms7716 · Cited by 724
Self-citationOno, M., Kosaka, N., Tominaga, N., Yoshioka, Y., Takeshita, F., Takahashi, R.-U., Yoshida, M., Tsuda, H., Tamura, K., & Ochiya, T. (2014) · Science Signaling · doi:10.1126/scisignal.2005231 · Cited by 696
Self-citationSelective Release of MicroRNA Species from Normal and Malignant Mammary Epithelial Cells
Pigati, L., Yaddanapudi, S. C. S., Iyengar, R., Kim, D.-J., Hearn, S. A., Danforth, D., Hastings, M. L., & Duelli, D. M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013515 · Cited by 582
DIANA miRPath v.2.0: investigating the combinatorial effect of microRNAs in pathways
Vlachos, I. S., Kostoulas, N., Vergoulis, T., Georgakilas, G., Reczko, M., Maragkakis, M., Paraskevopoulou, M. D., Prionidis, K., Dalamagas, T., & Hatzigeorgiou, A. G. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks494 · Cited by 526
Direct Serum Assay for MicroRNA-21 Concentrations in Early and Advanced Breast Cancer
Asaga, S., Kuo, C., Nguyen, T., Terpenning, M., Giuliano, A. E., & Hoon, D. S. (2011) · Clinical Chemistry · doi:10.1373/clinchem.2010.151845 · Cited by 451
Circulating microRNAs as blood-based markers for patients with primary and metastatic breast cancer
Roth, C., Rack, B., Müller, V., Janni, W., Pantel, K., & Schwarzenbach, H. (2010) · Breast Cancer Research · doi:10.1186/bcr2766 · Cited by 430
Circulating microRNAs in breast cancer and healthy subjects
Zhu, W., Qin, W., Atasoy, U., & Sauter, E. R. (2009) · BMC Research Notes · doi:10.1186/1756-0500-2-89 · Cited by 359
Heneghan, H. M., Miller, N., Kelly, R., Newell, J., & Kerin, M. J. (2010) · The Oncologist · doi:10.1634/theoncologist.2010-0103 · Cited by 315
Jung, E., Santarpia, L., Kim, J., Esteva, F. J., Moretti, E., Buzdar, A. U., Di Leo, A., Le, X., Bast, R. C., Park, S., et al. (2012) · Cancer · doi:10.1002/cncr.26565 · Cited by 292
Cited by
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Circulating microRNAs in breast cancer: novel diagnostic and prognostic biomarkers
Hamam, R., Hamam, D., Alsaleh, K. A., Kassem, M., Zaher, W., Alfayez, M., Aldahmash, A., & Alajez, N. M. (2017) · Cell Death & Disease · doi:10.1038/cddis.2017.440 · Cited by 322
Cao, H., Jia, C., Li, Z., Yang, H., Fang, R., Zhang, Y., & Cui, Y. (2024) · British Journal of Cancer · doi:10.1038/s41416-024-02587-w · Cited by 12
Metadata
- Authors
- Shimomura, A., Shiino, S., Kawauchi, J., Takizawa, S., Sakamoto, H., Matsuzaki, J., Ono, M., Takeshita, F., Niida, S., Shimizu, C., Fujiwara, Y., Kinoshita, T., Tamura, K., & Ochiya, T.
- Venue
- Cancer Science
- Publisher
- Wiley
- Published
- 2016-03
- Volume
- 107
- Issue
- 3
- Pages
- 326-334
- ISSN
- 1347-9032 (ISSN-L)
- 1349-7006
- OpenAlex
- W2224319365
- Cited by
- 357
- References
- 25
- FWCI
- 12.25
- Type
- journal article
- Language
- en
- Open access
- gold
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- Shimomura, A., Shiino, S., Kawauchi, J., Takizawa, S., Sakamoto, H., Matsuzaki, J., Ono, M., Takeshita, F., Niida, S., Shimizu, C., Fujiwara, Y., Kinoshita, T., Tamura, K., & Ochiya, T. (2016). Novel combination of serum microRNA for detecting breast cancer in the early stage. Cancer Science. https://doi.org/10.1111/cas.12880
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