As a major disease that threatens the health of women worldwide, breast cancer (BC) lacks effective molecular markers in the clinic at the same time. We aim at finding a new biomarker of BC. In our study, through the Gene Expression Omnibus database chip, a total of 1393 pairs of microRNA-messenger RNA (miRNA-mRNA) networks and 35754 pairs of long noncoding RNA-miRNA networks were obtained.We found out that NEAT1/miR-21/RRM2 axis may play a role in BC diagnosis and prognosis. The real-time quantitative reverse transcription-polymerase chain reaction test was used to analyze the mRNA level of NEAT1, miR-21, and RRM2. Western blot was used to detect the protein level of RRM2. Through the 5-ethynyl-2′-deoxyuridine assay, the proliferation of MDA-MB-231 cells was detected. Through wound healing and transwell assay, the migration of MDA-MB-231 cells was detected. Altogether, our data indicated that NEAT1, miR-21, and RRM2 were upregulated in several BC cell lines. Overexpressed of miR-21 in MDA-MB-231 cells promote proliferation and migration. Besides, our results demonstrated that overexpressed of miR-21 upregulated the level of RRM2. Accordingly, miR-21/ RRM2 might be a new diagnosis and treatment target of BC.
A series of dihydropyrrol-2-ones
(DHPs) were designed and synthesized
via an efficient multicomponent reaction at room temperature for evaluation
of their bioactivities against four human cancer lines (MCF-7, RKO,
HeLa, and A549) in vitro. Preliminary structure–activity relationship
studies showed that R4 = 3-MeO-4-OH-Ph is a crucial group
for increasing cytotoxicities against RKO cells and the influences
of R1–R3 depend on their combination.
It was found that DHPs 5a, 5q, and 5s showed the best antiproliferative activities against A549,
RKO, and all four studied cell lines, respectively (IC50 = 1.9, 0.8, and 0.9–2.4 μM). They can be used as new
lead compounds for developing potentially selective or broad spectrum
anticancer agents. 5q proves as a potent G0/G1-phase
arresting agent inducing cell apoptosis by increasing/decreasing the
levels of p53 and p21/cyclin D1.
Background: Hepatic vein tumour thrombus (HVTT) is a major determinant of survival outcomes for patients with hepatocellular carcinoma (HCC). An Eastern Hepatobiliary Surgery Hospital (EHBH)-HVTT model was established to predict the prognosis of patients with HCC and HVTT after liver resection, in order to identify optimal candidates for liver resection.
Methods: Patients with HCC and HVTT from 15 hospitals in China were included. The EHBH-HVTT model with contour plot was developed using a non-linear model in the training cohort, and subsequently validated in internal and external cohorts.Results: Of 850 patients who met the inclusion criteria, there were 292 patients who had liver resection and 198 who did not in the training cohort, and 124 and 236 in the internal and external validation cohorts respectively. Contour plots for the EHBH-HVTT model were established to predict overall survival (OS) rates of patients visually, based on tumour diameter, number of tumours and portal vein tumour thrombus. This differentiated patients into low-and high-risk groups with distinct long-term prognoses in the liver resection cohort (median OS 34⋅7 versus 12⋅0 months; P < 0⋅001), internal validation cohort (32⋅8 versus 10⋅4 months; P = 0⋅002) and external validation cohort (15⋅2 versus 6⋅5 months; P = 0⋅006). On subgroup analysis, the model showed the same efficacy in differentiating patients with HVTT in peripheral and major hepatic veins, the inferior vena cava, or in patients with coexisting portal vein tumour thrombus.
Conclusion:The EHBH-HVTT model was accurate in predicting prognosis in patients with HCC and HVTT after liver resection. It identified optimal candidates for liver resection among patients with HCC and HVTT, including tumour thrombus in the inferior vena cava, or coexisting portal vein tumour thrombus.
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