Combined Let-7a and H19 Signature: A Prognostic Index of Progression-Free Survival in Primary Breast Cancer Patients / 한국유방암학회지
Journal of Breast Cancer
;
: 142-149, 2018.
Article
in English
| WPRIM
| ID: wpr-714867
ABSTRACT
PURPOSE:
The long non-coding RNA H19, a conservatively imprinted gene, acts as a molecular sponge for the let-7 family, which has been identified as a set of tumor suppressors. However, the combined prognostic value of H19 and let-7a signature in breast cancer patients remains unclear.METHODS:
In this research we assessed the prognostic value of the combined H19 and let-7a signature in breast cancer patients by retrospectively reviewing that data of 79 patients who underwent neoadjuvant chemotherapy; we also investigated the expression and function of H19 in breast cancer cell lines in vitro. Survival data were calculated using the Kaplan-Meier method and compared using the log-rank test. Univariate and multivariate survival analyses were conducted using the Cox proportional hazards regression method. As determined using X-tile, the optimal cutoff value for the risk score to assess progression-free survival (PFS) based on the combined signature was –0.1.RESULTS:
Patients with an overall positive treatment response had higher let-7a and lower H19 levels. In addition, let-7a expression was negatively correlated with H19 expression. Patients with a risk score of >–0.1 had shorter overall survival and PFS. In vitro data showed that chemoresistant cell lines exhibit higher H19 and lower let-7a levels and knockdown H19 restores paclitaxel sensitivity.CONCLUSION:
Our results suggest that the combined let-7a and H19 signature is a novel prognostic factor for breast cancer patients treated with neoadjuvant chemotherapy.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Porifera
/
Prognosis
/
In Vitro Techniques
/
Breast
/
Breast Neoplasms
/
Cell Line
/
Retrospective Studies
/
Paclitaxel
/
Disease-Free Survival
/
Neoadjuvant Therapy
Type of study:
Observational study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Journal of Breast Cancer
Year:
2018
Type:
Article
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