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Ultrasensitive Nanopore Sensing of Mucin 1 and Circulating Tumor Cells in Whole Blood of Breast Cancer Patients by Analyte-Triggered Triplex-DNA Release.
Sun, K, Chen, P, Yan, S, Yuan, W, Wang, Y, Li, X, Dou, L, Zhao, C, Zhang, J, Wang, Q, et al
ACS applied materials & interfaces. 2021;(18):21030-21039
Abstract
The characterization of circulating tumor cells (CTCs) by liquid biopsy has a great potential for precision medicine in oncology. Here, a universal and tandem logic-based strategy is developed by combining multiple nanomaterials and nanopore sensing for the determination of mucin 1 protein (MUC1) and breast cancer CTCs in real samples. The strategy consists of analyte-triggered signal conversion, cascaded amplification via nanomaterials including copper sulfide nanoparticles (CuS NPs), silver nanoparticles (Ag NPs), and biomaterials including DNA hydrogel and DNAzyme, and single-molecule-level detection by nanopore sensing. The amplification of the non-DNA nanomaterial gives this method considerable stability, significantly lowers the limit of detection (LOD), and enhances the anti-interference performance for complicated samples. As a result, the ultrasensitive detection of MUC1 could be achieved in the range of 0.0005-0.5 pg/mL, with an LOD of 0.1 fg/mL. Moreover, we further tested MUC1 as a biomarker for the clinical diagnosis of breast cancer CTCs under double-blind conditions on the basis of this strategy, and MCF-7 cells could be accurately detected in the range from 5 to 2000 cells/mL, with an LOD of 2 cells/mL within 6 h. The detection results of the 19 clinical samples were highly consistent with those of the clinical pathological sections, nuclear magnetic resonance imaging, and color ultrasound. These results demonstrate the validity and reliability of our method and further proved the feasibility of MUC1 as a clinical diagnostic biomarker for CTCs.
2.
Comparative effectiveness of tamoxifen, toremifene, letrozole, anastrozole, and exemestane on lipid profiles in breast cancer patients: A network meta-analysis.
He, T, Yang, W, Zhang, X, Li, P, Yang, D, Wu, Y, Fan, Y, Xiang, M, Huang, Q, Chen, J, et al
Medicine. 2020;(2):e18550
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Abstract
BACKGROUND Adjuvant endocrine therapy is a vital portion of postoperative comprehensive treatment for breast cancer patients. In recent years, studies have shown that endocrine therapy has a certain impact on the serum lipids of breast cancer patients, and the changes of lipid profiles may bring a series of problems. However, very few studies focus on this issue to date. The results of these studies are inconsistent, and the influence of different adjuvant endocrine modalities on lipid profiles still remains controversial. In order to better explore this issue, we conduct this network meta-analysis. METHOD The protocol followed preferred reporting items for systematic reviews and meta-analyses protocols. Three main databases (PubMed, Embase, and the Cochrane Library) will be searched systematically for eligible randomized controlled trials without language restriction. In addition, a manual search of the references of relevant published studies will also be considered. Two reviewers will conduct studies selection, data extraction, and risk of bias assessment independently. The primary outcome is the variation of biochemical parameters - the serum lipid profiles (cholesterol, triglyceride, high-density lipoprotein, low low-density lipoprotein). RESULTS The results will provide useful information about the side effects of different adjuvant endocrine drugs on lipid profiles in postoperative breast cancer patients (estrogen receptor-positive and/or progesterone receptor-positive). CONCLUSION The findings of this study will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER CRD42019129850.
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Folate intake and the risk of breast cancer: an up-to-date meta-analysis of prospective studies.
Zeng, J, Wang, K, Ye, F, Lei, L, Zhou, Y, Chen, J, Zhao, G, Chang, H
European journal of clinical nutrition. 2019;(12):1657-1660
Abstract
Epidemiological studies focusing on the association between folate and breast cancer risk reported inconsistent findings. We conducted a systematic search of the literature using PubMed and EMBASE databases. A total of 23 prospective studies involving 41,516 cases and 1,171,048 individuals were included for meta-analysis. Folate intake may decrease the risk of oestrogen receptor (ER) negative (-) and ER-/progesterone receptor (PR)- breast cancer, with pooled risk ratios (RRs) of 0.88 [95% confidence interval (CI): 0.78-1.00] and 0.82 (95% CI: 0.68-0.97), respectively. An increment of folate intake of 100 μg per day was associated with a deceased risk of ER- (RR = 0.94, 95% CI: 0.88-0.99) and ER-/PR- (RR = 0.90, 95% CI: 0.85-0.97) breast cancer. Moreover, high folate intake may have preventive effects against breast cancer in premenopausal women (RR = 0.94, 95% CI: 0.88-1.00) and individuals with moderate or high levels of alcohol consumption (RR = 0.82, 95% CI: 0.72-0.94).