Nuclear corepressor 1 expression predicts response to first-line endocrine therapy for breast cancer patients on relapse / 中华医学杂志(英文版)

<p><b>BACKGROUND</b>Estrogen receptor alpha (ER alpha) is the most important endocrine therapy responsiveness predictor for women with breast cancer. The accuracy of the prediction of the response to endocrine therapy was thought to be affected by involving the estrogen receptor coregulatory proteins and cross-talk between ER and other growth factor-signaling networks. Nuclear corepressor 1 (NCOR1) is one of the ER a transcription repressor. The objective of the study is to investigate the expression of NCOR1 at the protein level and pursue its predictive value for breast cancer endocrine therapy.</p><p><b>METHODS</b>In the present study, the level of expression of NCOR1 protein has been assessed by immunohistochemistry in 104 cases of invasive carcinoma of the breast. Associations between NCOR1 protein expression and different clinicopathological factors and survival were sought.</p><p><b>RESULTS</b>It was found that NCOR1 was expressed at significantly higher levels in responsive patients treated with endocrine therapy as first-line treatment on relapse. Responsive patients also had a significantly longer post-relapse survival and overall survival. No NCOR1 expression difference was found between patient by age, tumor size, lymph node status, different histological grade groups and human epidermal growth factor receptor 2 (HER2) status. Multivariate analysis showed that NCOR1 is an independent prognostic factor for over-all survival.</p><p><b>CONCLUSIONS</b>In breast cancer, NCOR1 protein expression level predicts response to endocrine therapy as first-line treatment for breast cancer patients on relapse and NCOR1 protein level assay may increase the accuracy in the endocrine treatment determination and, therefore, improving the patients survival.</p>

The analysis of the growth velocity curve in height based upon the maturity rate / 体力科学

A study was conducted to analyze the height growth velocity curve based upon the maturity rate. Ninety-eight longitudinal data points for height (for subjects aged 6 to 17 years) were obtained retrospectively from health examination records in 1983. Growth distance and growth velocity curves of each individual were described by the wavelet interpolation method, and PHV age was determined with the described graph using computer simulation. We classified the growth velocity curve by the maturity rate approximated according to the PHV age. As a result, it was shown that the after-growth spurt in early maturity and somewhat early maturity type appeared more than in the average and somewhat late maturity types, and that conversely, the mid-growth spurt in the late maturity and somewhat late maturity types appeared more than in the early maturity and somewhat early maturity types. Specifically, it was demonstrated that two mid-growth spurts appeared in the late maturity and somewhat late maturity types.