Development of a circHIPK3-based ceRNA network and identification of mRNA signature in breast cancer patients harboring BRCA mutation.

Background: Exploring the regulatory network of competing endogenous RNAs (ceRNAs) as hallmarks for breast cancer development has great significance and could provide therapeutic targets. An mRNA signature predictive of prognosis and therapy response in BRCA carriers was developed according to circular RNA homeodomain-interacting protein kinase 3 (circHIPK3)-based ceRNA network. Method: We constructed a circHIPK3-based ceRNA network based on GSE173766 dataset and identified potential mRNAs that were associated with BRCA mutation patients within this ceRNA network. A total of 11 prognostic mRNAs and a risk model were identified and developed by univariate Cox regression analysis and the LASSO regression analysis as well as stepAIC method. Genomic landscape was treated by mutect2 and fisher. Immune characteristics was analyzed by ESTIMATE, MCP-counter. TIDE analysis was conducted to predict immunotherapy. The clinical treatment outcomes of BRCA mutation patients were assessed using a nomogram. The proliferation, migration and invasion in breast cancer cell lines were examined using CCK8 assay and transwell assay. Result: We found 241 mRNAs within the circHIPK3-based ceRNA network. An 11 mRNA-based signature was identified for prognostic model construction. High risk patients exhibited dismal prognosis, low response to immunotherapy, less immune cell infiltration and tumor mutation burden (TMB). High-risk patients were sensitive to six anti-tumor drugs, while low-risk patient were sensitive to 47 drugs. The risk score was the most effective on evaluating patients' survival. The robustness and good prediction performance were validated in The Cancer Genome Atlas (TCGA) dataset and immunotherapy datasets, respectively. In addition, circHIPK3 mRNA level was upregulated, and promoted cell viability, migration and invasion in breast cancer cell lines. Conclusion: The current study could improve the understanding of mRNAs in relation to BRCA mutation and pave the way to develop mRNA-based therapeutic targets for breast cancer patients with BRCA mutation.

Diagnostic value of radionuclide in bone metastasis after breast cancer surgery: A protocol of systematic review.

BACKGROUND: The objective of this study is to evaluate the accuracy of radionuclide in diagnosis of bone metastasis (BM) after breast cancer surgery (BCS). METHODS: The electronic databases (Cochrane Library, MEDLINE, EMBASE, Web of Science, CBM, and CNKI) will be systematically and comprehensively searched until June 1, 2020 for eligible studies that reported the diagnosis of radionuclide in BM after BCS. In addition, we will also identify grey literatures, such as conference abstracts, and reference lists of included studies. All process of study identification, data extraction, and study methodological quality evaluation will be performed by 2 independent authors. All divergences will be settled by a third author through discussion. All data analysis will be carried out by RevMan 5.3 software (London, UK). RESULTS: This study will scrutinize the most recent evidence of radionuclide in detection of BM after BCS. CONCLUSION: This study may provide evidence of accuracy of radionuclide in diagnosis of BM following BCS. STUDY REGISTRATION NUMBER: PROSPERO CRD42020187646.