Abstract
Since breast cancers in young women are generally aggressive, young patients tend to be intensively treated with anti-cancer drugs. To optimize the strategy for treatment, particularly in young women, prognostic biomarkers are urgently required. The objective of this study was to identify a tissue microRNA (miRNA) signature that predicts prognosis in young breast cancer patients. Total RNA from 45 breast cancer patients aged <35 years was extracted from formalin-fixed paraffin-embedded (FFPE) tissues and analyzed using miRNA microarrays. Patients were categorized into two groups according to recurrence status within the 5 year period after surgery: recurrence (n = 11) and non-recurrent (n = 34). Histological parameters of hormone receptors and Ki-67 were statistically compared between the two groups. Differentially expressed miRNAs were identified, and their associations with overall survival (OS) were evaluated by log-rank test. The median observation period was 5.8 years for the recurrent group, and 9.1 years for the non-recurrent group. Nine miRNAs were significantly differentially expressed between the recurrent and non-recurrent groups. Receiver Operating Characteristic curve analysis was performed to evaluate the prediction accuracy of the identified miRNAs, and the resultant area under the curve was >0.7. Five of the miRNAs were validated by qRT-PCR, and the expression levels of three of those five (miR-183-5p, miR-194-5p, and miR-1285-5p), both alone and in combination, were associated with OS. In conclusion, we identified three candidate miRNAs that could be used separately or in combination as prognostic biomarkers in young breast cancer patients. This miRNA signature may enable selection of better treatment choices for young women with this disease.
| Original language | English |
|---|---|
| Article number | e0187638 |
| Journal | PloS one |
| Volume | 12 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 2017 Nov 1 |
| Externally published | Yes |
Fingerprint
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Agricultural and Biological Sciences(all)
Cite this
A tissue microRNA signature that predicts the prognosis of breast cancer in young women. / Hironaka-Mitsuhashi, Ai; Matsuzaki, Juntaro; Takahashi, Ryou U.; Yoshida, Masayuki; Nezu, Yutaka; Yamamoto, Yusuke; Shiino, Sho; Kinoshita, Takayuki; Ushijima, Toshikazu; Hiraoka, Nobuyoshi; Shimizu, Chikako; Tamura, Kenji; Ochiya, Takahiro.
In: PloS one, Vol. 12, No. 11, e0187638, 01.11.2017.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A tissue microRNA signature that predicts the prognosis of breast cancer in young women
AU - Hironaka-Mitsuhashi, Ai
AU - Matsuzaki, Juntaro
AU - Takahashi, Ryou U.
AU - Yoshida, Masayuki
AU - Nezu, Yutaka
AU - Yamamoto, Yusuke
AU - Shiino, Sho
AU - Kinoshita, Takayuki
AU - Ushijima, Toshikazu
AU - Hiraoka, Nobuyoshi
AU - Shimizu, Chikako
AU - Tamura, Kenji
AU - Ochiya, Takahiro
PY - 2017/11/1
Y1 - 2017/11/1
N2 - Since breast cancers in young women are generally aggressive, young patients tend to be intensively treated with anti-cancer drugs. To optimize the strategy for treatment, particularly in young women, prognostic biomarkers are urgently required. The objective of this study was to identify a tissue microRNA (miRNA) signature that predicts prognosis in young breast cancer patients. Total RNA from 45 breast cancer patients aged <35 years was extracted from formalin-fixed paraffin-embedded (FFPE) tissues and analyzed using miRNA microarrays. Patients were categorized into two groups according to recurrence status within the 5 year period after surgery: recurrence (n = 11) and non-recurrent (n = 34). Histological parameters of hormone receptors and Ki-67 were statistically compared between the two groups. Differentially expressed miRNAs were identified, and their associations with overall survival (OS) were evaluated by log-rank test. The median observation period was 5.8 years for the recurrent group, and 9.1 years for the non-recurrent group. Nine miRNAs were significantly differentially expressed between the recurrent and non-recurrent groups. Receiver Operating Characteristic curve analysis was performed to evaluate the prediction accuracy of the identified miRNAs, and the resultant area under the curve was >0.7. Five of the miRNAs were validated by qRT-PCR, and the expression levels of three of those five (miR-183-5p, miR-194-5p, and miR-1285-5p), both alone and in combination, were associated with OS. In conclusion, we identified three candidate miRNAs that could be used separately or in combination as prognostic biomarkers in young breast cancer patients. This miRNA signature may enable selection of better treatment choices for young women with this disease.
AB - Since breast cancers in young women are generally aggressive, young patients tend to be intensively treated with anti-cancer drugs. To optimize the strategy for treatment, particularly in young women, prognostic biomarkers are urgently required. The objective of this study was to identify a tissue microRNA (miRNA) signature that predicts prognosis in young breast cancer patients. Total RNA from 45 breast cancer patients aged <35 years was extracted from formalin-fixed paraffin-embedded (FFPE) tissues and analyzed using miRNA microarrays. Patients were categorized into two groups according to recurrence status within the 5 year period after surgery: recurrence (n = 11) and non-recurrent (n = 34). Histological parameters of hormone receptors and Ki-67 were statistically compared between the two groups. Differentially expressed miRNAs were identified, and their associations with overall survival (OS) were evaluated by log-rank test. The median observation period was 5.8 years for the recurrent group, and 9.1 years for the non-recurrent group. Nine miRNAs were significantly differentially expressed between the recurrent and non-recurrent groups. Receiver Operating Characteristic curve analysis was performed to evaluate the prediction accuracy of the identified miRNAs, and the resultant area under the curve was >0.7. Five of the miRNAs were validated by qRT-PCR, and the expression levels of three of those five (miR-183-5p, miR-194-5p, and miR-1285-5p), both alone and in combination, were associated with OS. In conclusion, we identified three candidate miRNAs that could be used separately or in combination as prognostic biomarkers in young breast cancer patients. This miRNA signature may enable selection of better treatment choices for young women with this disease.
UR - http://www.scopus.com/inward/record.url?scp=85034030008&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034030008&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0187638
DO - 10.1371/journal.pone.0187638
M3 - Article
VL - 12
JO - PLoS One
JF - PLoS One
SN - 1932-6203
IS - 11
M1 - e0187638
ER -