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    Abstract:
    <p>Supplementary Table 12. Baseline genomic landscape of mutations distribution for the CDR population (n=120), by number of mutations or presence/absence, across treatment arms.</p>
    Keywords:
    HER2 negative
    Baseline (sea)
    Although both bevacizumab and paclitaxel significantly improve the efficacy of chemotherapy for human epidermal growth factor receptor 2 (HER2)-negative patients with metastatic breast cancer (MBC), little have changed with overall survival rates when they have been used alone or combined with other chemotherapy. Thus, a meta-analysis was conducted to evaluate the efficacy of bevacizumab combined with paclitaxel in HER2-negative MBC patients. Pubmed and Embase were systematically reviewed for studies published up to September 2013 in which bevacizumab plus paclitaxel were compared with other chemotherapy. Primary outcomes comprised overall survival (OS), progression-free survival (PFS), and objective response rate (ORR). Eight phase II/III clinical trials met the inclusion criteria, with a total of 3,758 patients. The pooled results showed that combination of bevacizumab and paclitaxel significantly improved the PFS (HR = 0.63, 95% CI, 0.55-0.73, P = 0.011), ORR (RR = 1.28, 95% CI, 0.96-1.70, P = 0.0), but had no effect on OS (HR = 0.91, 95% CI, 0.81-1.01, P = 0.855). The meta-analysis confirms the benefits of bevacizumab-paclitaxel combination therapy in HER2 negative metastatic breast cancer, with an improvement in both progression free survival and objective response rate. However, no significant OS benefit was observed.
    Progression-free survival
    Citations (6)
    Limited evidence suggests that inherited predisposing risk variants might affect the disease outcome. In this study, we analyzed the effect of genome-wide association studies—identified breast cancer-risk single nucleotide polymorphisms on survival of early-stage breast cancer patients in a Chinese population. This retrospective study investigated the relationship between 21 GWAS-identified breast cancer-risk single nucleotide polymorphisms and the outcome of 1177 early stage breast cancer patients with a long median follow-up time of 174 months. Cox proportional hazards regression models were used to estimate the hazard ratios and their 95% confidence intervals. Primary endpoints were breast cancer special survival and overall survival while secondary endpoints were invasive disease free survival and distant disease free survival. Multivariate survival analysis showed only the rs2046210 GA genotype significantly decreased the risk of recurrence and death for early stage breast cancer. After grouping breast cancer subtypes, significantly reduced survival was associated with the variant alleles of rs9485372 for luminal A and rs4415084 for triple negative breast cancer. Importantly, all three single-nucleotide polymorphisms, rs889312, rs4951011 and rs9485372 had remarkable effects on survival of luminal B EBC, either individually or synergistically. Furthermore, statistically significant multiplicative interactions were found between rs4415084 and age at diagnosis and between rs3803662 and tumor grade. Our results demonstrate that breast cancer risk susceptibility loci identified by GWAS may influence the outcome of early stage breast cancer patients’ depending on intrinsic tumor subtypes in Chinese women.
    Citations (2)
    Although bevacizumab and trastuzumab have been widely added to the standard regimen for metastatic breast cancer, the clinical outcomes remain controversial. The purpose of this study was to conduct meta-analysis to verify the clinical efficacy and safety of docetaxel and bevacizumab with or without trastuzumab as first-line treatment for patients with metastatic breast cancer (MBC).All available literature of clinical trials about docetaxel, bevacizumab, trastuzumab and metastatic breast cancer was pooled from PubMed, Embase and Cochrane library database. The meta-analysis combined the progression free survival (PFS), overall response rate (ORR) and incidence of all grades adverse events in MBC patients.Seven clinical trials were included by two reviewers. Docetaxel and bevacizumab with trastuzumab show the pooled PFS was 16.53 months (95% CI: 13.95-19.11 months), the pooled ORR was 0.75 (95% CI: 0.69-0.80) in HER2-positive MBC patients. Docetaxel and bevacizumab show that the pooled PFS was 8.49 months (95% CI: 7.80-9.18 months), the pooled ORR was 0.51(95% CI: 0.47-0.55) in HER2-negative MBC patients.Both for patients with HER2-positive and negative metastatic breast cancer, docetaxel and bevacizumab with or without trastuzumab as first-line treatment resulted in long survival, especially in terms of progression-free survival. Although the overall response rates are also significantly improved, it is still controversial based on the current evidence.
    Regimen
    Abstract Breast cancer is a frequent female malignant tumor with high mortality and poor prognosis. Peroxidasin like (PXDNL) has many biological functions, including characteristic activity of hormone biosynthesis, host defense, and cell motility. In addition, PXDNL is closely connected with the progression of breast cancer. In this study, we found that PXDNL may be an independent prognostic biomarker of breast cancer. We tested the mRNA expression of PXDNL in breast cancer by detecting The Cancer Genome Atlas (TCGA) database. The chi-squared test was used to evaluate clinical correlation. The receiver operating characteristic (ROC) curves were drawn to evaluate diagnosis potential in breast cancer. Subsequently, survival analyses were performed to identify the relevance between the expression of PXDNL and the overall survival/relapse-free survival of patients with breast cancer. Univariate/multivariate Cox regression model was executed to detect risk factors affecting the prognosis of patients with breast cancer. PXDNL is highly expressed in breast cancer tissues and is related to survival status of patients. The ROC curve showed that PXDNL had beneficial diagnostic ability in breast cancer. Survival analysis indicated that patients with breast cancer with high PXDNL expression generally had decreased overall survival/relapse-free survival. Univariate/multivariate Cox model analyses further suggested an association between PXDNL expression and prognosis of patients with breast cancer. High PXDNL expression is a potential and independent prognostic biomarker in breast cancer.
    Citations (21)