Ultrahigh-Flux Water Nanopumps Generated by Asymmetric Terahertz Absorption.

Controlling active transport of water through membrane channels is essential for advanced nanofluidic devices. Despite advancements in water nanopump design using techniques like short-range invasion and subnanometer-level control, challenges remain facilely and remotely realizing massive waters active transport. Herein, using molecular dynamic simulations, we propose an ultrahigh-flux nanopump, powered by frequency-specific terahertz stimulation, capable of unidirectionally transporting massive water through asymmetric-wettability membrane channels at room temperature without any external pressure. The key physics behind this terahertz-powered water nanopump is revealed to be the energy flow resulting from the asymmetric optical absorption of water.

High expression levels of centromere protein O participates in cell proliferation of human ovarian cancer.

Ovarian cancer is a common malignant tumor in women, with a high mortality rate ranking first among gynecological tumors. Currently, there is insufficient understanding of the causes, pathogenesis, recurrence and metastasis of ovarian cancer, and early diagnosis and treatment still face great challenges. The sensitivity and specificity of existing ovarian cancer screening methods are still unsatisfactory. Centromere protein O (CENP-O) is a recently discovered structural centromere protein that is involved in cell death and is essential for spindle assembly, chromosome separation, and checkpoint signaling during mitosis. The abnormal high expression of CENP-O was detected in various tumors such as bladder cancer and gastric cancer, and it participates in the regulation of tumor cell proliferation. In this study, we detect the expression abundance of CENP-O mRNA in different ovarian cancer cells ( ES-2, A2780, Caov-3, OVCAR-3 and SK-OV-3). The biological function changes of cell proliferation and apoptosis were detected and the role of CENP-O in ovarian cancer cell proliferation and apoptosis was explored by knocking down the expression of CENP-O gene. The results showed that CENP-O gene was significantly expressed in 5 types of ovarian cancer cell lines. After knocking down the CENP-O gene, the proliferation and cloning ability of ovarian cancer cells decreased, and the apoptosis increased. This study indicates that CENP-O has the potential to be a molecular therapeutic target, and downregulating the expression of CENP-O gene can break the unlimited proliferation ability of cancer cells and promote their apoptosis, providing a foundation and new ideas for subsequent molecular mechanism research and targeted therapy.

Prognostic role of the peritoneal cancer index in ovarian cancer patients who undergo cytoreductive surgery: a meta-analysis.

Advanced-stage ovarian cancer is usually associated with peritoneal carcinomatosis. This study evaluates the prognostic role of the Peritoneal Cancer Index (PCI) in predicting the survival of patients with ovarian cancer. A literature search was conducted in electronic databases (Google Scholar, PubMed, Ovid, and Science Direct) and study selection was based on precise eligibility criteria. Random-effects meta-analyses were performed to estimate survival with low and high PCI scores and to pool hazard ratios (HR) of survival between lower and higher PCI scores. A total of 20 studies (2588 patients) were included. Median follow-up was 39 months [95%CI: 25, 54]. Complete cytoreduction rate was 80% [95% CI: 73, 87]. The median PCI score was 11.3 [95% CI: 9.9, 12.7]. Median survival was 56.7 months [95% CI: 45.2, 68.2] with below and 28.8 months [95% CI: 23.0, 34.6] with above any PCI cutoff. Most studies used PCI cutoffs between 10 and 20. The median progression-free survival was 23.7 months [95% CI: 16.5, 30.8] with below and 11.9 months [95% CI: 5.9, 17.9] with above any PCI cutoff. 5-year survival rates were 61.3% [95% CI: 49.9, 72.8] with PCI<10 cutoffs, 21.7% [95% CI: 11.6, 31.8] with PCI>10 cutoffs, 50.1% [95% CI: 39.0, 61.2] with PCI<20 cutoffs, and 21.7% [95% CI: 16.2, 27.1] with PCI>20 cutoffs. Pooled analysis of HRs showed that a higher PCI score was associated with worse survival in both univariate (HR 2.14 [95%CI: 1.63, 2.66]) and multivariate (HR 1.10 [95% CI: 1.02, 1.18]) analyses. In a set of studies that used varying PCI cutoffs, the PCI has been found to have a significant inverse association with the survival of patients with advanced ovarian cancer who underwent cytoreductive surgery.

Statistical Process Control Charts for Monitoring Next-Generation Sequencing and Bioinformatics Turnaround in Precision Medicine Initiatives.

PURPOSE: Precision oncology, such as next generation sequencing (NGS) molecular analysis and bioinformatics are used to guide targeted therapies. The laboratory turnaround time (TAT) is a key performance indicator of laboratory performance. This study aims to formally apply statistical process control (SPC) methods such as CUSUM and EWMA to a precision medicine programme to analyze the learning curves of NGS and bioinformatics processes. PATIENTS AND METHODS: Trends in NGS and bioinformatics TAT were analyzed using simple regression models with TAT as the dependent variable and chronologically-ordered case number as the independent variable. The M-estimator "robust" regression and negative binomial regression were chosen to serve as sensitivity analyses to each other. Next, two popular statistical process control (SPC) approaches which are CUSUM and EWMA were utilized and the CUSUM log-likelihood ratio (LLR) charts were also generated. All statistical analyses were done in Stata version 16.0 (StataCorp), and nominal P < 0.05 was considered to be statistically significant. RESULTS: A total of 365 patients underwent successful molecular profiling. Both the robust linear model and negative binomial model showed statistically significant reductions in TAT with accumulating experience. The EWMA and CUSUM charts of overall TAT largely corresponded except that the EWMA chart consistently decreased while the CUSUM analyses indicated improvement only after a nadir at the 82nd case. CUSUM analysis found that the bioinformatics team took a lower number of cases (54 cases) to overcome the learning curve compared to the NGS team (85 cases). CONCLUSION: As NGS and bioinformatics lead precision oncology into the forefront of cancer management, characterizing the TAT of NGS and bioinformatics processes improves the timeliness of data output by potentially spotlighting problems early for rectification, thereby improving care delivery.