Bibliographic Details
| Title: |
Dysregulation of serum miR-1204 and its potential as a biomarker for the diagnosis and prognosis of breast cancer |
| Authors: |
Han, Suli, Li, Peng, Wang, Donghong, Yan, Hui |
| Source: |
Revista da Associação Médica Brasileira. June 2020 66(6) |
| Publisher Information: |
Associação Médica Brasileira, 2020. |
| Publication Year: |
2020 |
| Subject Terms: |
MicroRNAs, Breast neoplasms/diagnosis, Prognosis, Biomarkers, Serum |
| More Details: |
SUMMARY OBJECTIVE A previous study has reported that miR-1204 exerted oncogenic effects in breast cancer (BC). The purpose of our paper was to evaluate the expressions of tissue and serum miR-1204 in patients with BC and further investigate its biomarker potential. METHODS The expressions of tissue and serum miR-1204 were investigated by qRT-PCR in 144 BC patients and 38 healthy controls. Chi-square tests were conducted to examine the associations between miR-1204 expressions and clinicopathological factors. Then, the associations of miR-1204s level with the survival of BC patients were determined by performing the Kaplan-Meier and multivariate analysis. The receiver operating characteristics (ROC) and area under the OC curve (AUC) were obtained to validate the diagnostic values of miR-1204. RESULTS We found that the expressions of miR-1204 were increased in both tissue and serum samples from BC patients. Multivariate assays identified tissue and serum miR-1204 overexpression as an independent poor prognostic factor. In addition, ROC curve assays indicated that tissue and serum miR-1204 are potential diagnostic markers of BC. CONCLUSIONS Detection of tissue and serum miR-1204 levels could have clinical potential as a novel prognostic/diagnostic biomarker for BC patients. |
| Document Type: |
article |
| File Description: |
text/html |
| Language: |
English |
| ISSN: |
0104-4230 |
| DOI: |
10.1590/1806-9282.66.6.732 |
| Access URL: |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302020000600732 |
| Rights: |
info:eu-repo/semantics/openAccess |
| Accession Number: |
edssci.S0104.42302020000600732 |
| Database: |
SciELO |
