Unknown

Dataset Information

0

A miRNA-based signature predicts development of disease recurrence in HER2 positive breast cancer after adjuvant trastuzumab-based treatment.


ABSTRACT: Approximately 20% of HER2 positive breast cancer develops disease recurrence after adjuvant trastuzumab treatment. This study aimed to develop a molecular prognostic model that can reliably stratify patients by risk of developing disease recurrence. Using miRNA microarrays, nine miRNAs that differentially expressed between the recurrent and non-recurrent patients were identified. Then, we validated the expression of these miRNAs using qRT-PCR in training set (n?=?101), and generated a 2-miRNA (miR-4734 and miR-150-5p) based prognostic signature. The prognostic accuracy of this classifier was further confirmed in an internal testing set (n?=?57), and an external independent testing set (n?=?53). Besides, by comparing the ROC curves, we found the incorporation of this miRNA based classifier into TNM stage could improve the prognostic performance of TNM system. The results indicated the 2-miRNA based signature was a reliable prognostic biomarker for patients with HER2 positive breast cancer.

SUBMITTER: Du F 

PROVIDER: S-EPMC5030658 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

A miRNA-based signature predicts development of disease recurrence in HER2 positive breast cancer after adjuvant trastuzumab-based treatment.

Du F F   Yuan P P   Zhao Z T ZT   Yang Z Z   Wang T T   Zhao J D JD   Luo Y Y   Ma F F   Wang J Y JY   Fan Y Y   Cai R G RG   Zhang P P   Li Q Q   Song Y M YM   Xu B H BH  

Scientific reports 20160921


Approximately 20% of HER2 positive breast cancer develops disease recurrence after adjuvant trastuzumab treatment. This study aimed to develop a molecular prognostic model that can reliably stratify patients by risk of developing disease recurrence. Using miRNA microarrays, nine miRNAs that differentially expressed between the recurrent and non-recurrent patients were identified. Then, we validated the expression of these miRNAs using qRT-PCR in training set (n = 101), and generated a 2-miRNA (m  ...[more]

Similar Datasets

| S-EPMC3268553 | biostudies-literature
| S-EPMC5915573 | biostudies-literature
| S-EPMC5538020 | biostudies-literature
| S-EPMC4313867 | biostudies-literature
2015-10-19 | E-GEOD-55348 | biostudies-arrayexpress
| S-EPMC5553959 | biostudies-literature
| S-EPMC9482917 | biostudies-literature
2015-10-19 | GSE55348 | GEO
| S-EPMC8776836 | biostudies-literature
| S-EPMC6550431 | biostudies-literature