CDK12 Promotes the Proliferation, Migration, and Angiogenesis of Gastric Carcinoma via Activating the PI3K/AKT/mTOR Signaling Pathway.

Cyclin-dependent kinase 12 (CDK12) has been found to regulate tumor progression. However, its function in gastric carcinoma (GC) remains controversial. This work aimed to explore the exact effect of CDK12 on GC progression. We detected the expression of CDK12 in GC cells and normal gastric mucosal epithelial cells. Then CDK12 function on GC cell proliferation, migration, and angiogenesis was researched by colony formation experiment, Transwell experiment, and angiogenesis assay. Moreover, CDK12 effect on the PI3K/AKT/mTOR pathway activity was explored by western blot. Further, we used LY294002 (10 µM) to treat GC cells to verify whether CDK12 regulates GC progression by activating the PI3K/AKT/mTOR pathway. Additionally, CDK12 effect on the expression of prognostic factors of GC was detected by western blot, including alkaline phosphatase (ALP) and Ki67. Quantitative real-time polymerase chain reaction and western blot were utilized to evaluate the expression of mRNAs and proteins. As a result, CDK12 was upregulated in GC cells. CDK12 overexpression facilitated the proliferation, migration, and angiogenesis of GC cells. However, CDK12 silencing showed an opposite result. CDK12 overexpression activated the PI3K/AKT/mTOR pathway, but CDK12 silencing inactivated it in GC cells. The blockage of the PI3K/AKT/mTOR pathway induced by LY294002 treatment counteracted the promotion of CDK12 on the proliferation, migration, and angiogenesis of GC. Further, CDK12 silencing suppressed the expression of ALP and Ki67 proteins in GC cells. Taken together, CDK12 promotes the proliferation, migration, and angiogenesis of GC by activating the PI3K/AKT/mTOR pathway. It may be a novel target for GC treatment.

Macular Atrophy Incidence, Progression, and Visual Acuity Effects in 5-Year Treatment of Neovascular Age-Related Macular Degeneration.

BACKGROUND AND OBJECTIVE: Macular atrophy (MA) contributes to declining vision during prolonged anti-vascular endothelial growth factor (VEGF) treatment in neovascular age-related macular degeneration (nAMD) so greater understanding of its incidence, evolution, and impact on visual acuity is merited. MATERIALS AND METHODS: This is a retrospective review of nAMD patients receiving anti-VEGF therapy for ≥ 5 years. Near-infrared reflectance images and vision data were extracted every 6 months. MA lesion areas were measured using ImageJ. RESULTS: Vision showed a mean decline of -1.2 letters/year. Eyes with MA showed a greater decrease of -1.6 letters/year compared to eyes without MA (-0.7 letters/year). Cumulative incidence of MA was 38% at 5 years. MA was significantly associated with declining vision, showing a -0.7 letter decrease for every 1 mm2 increase in lesion size. CONCLUSION: Over a 5-year course of nAMD treatment, MA affected most eyes, and MA progression was significantly associated with vision decline. [Ophthalmic Surg Lasers Imaging Retina 2022;53:546-552.].

Effect of acupuncture and metformin on insulin sensitivity in women with polycystic ovary syndrome and insulin resistance: a three-armed randomized controlled trial.

STUDY QUESTION: Does acupuncture improve insulin sensitivity more effectively than metformin or sham acupuncture in women with polycystic ovary syndrome (PCOS) and insulin resistance (IR)? SUMMARY ANSWER: Among women with PCOS and IR, acupuncture was not more effective than metformin or sham acupuncture in improving insulin sensitivity. WHAT IS KNOWN ALREADY: Uncontrolled trials have shown that acupuncture improved insulin sensitivity with fewer side effects compared with metformin in women with PCOS and IR. However, data from randomized trials between acupuncture and metformin or sham acupuncture are lacking. STUDY DESIGN, SIZE, DURATION: This was a three-armed randomized controlled trial enrolling a total of 342 women with PCOS and IR from three hospitals between November 2015 and February 2018, with a 3-month follow-up until October 2018. PARTICIPANTS/MATERIALS, SETTING, METHODS: Women aged from 18 to 40 years with PCOS and homeostasis model assessment of insulin resistance (HOMA-IR) ≥2.14 were randomly assigned (n = 114 per group) to receive true acupuncture plus placebo (true acupuncture), metformin plus sham acupuncture (metformin, 0.5 g three times daily) or sham acupuncture plus placebo (sham acupuncture) for 4 months, with an additional 3-month follow-up. True or sham acupuncture was given three times per week, and 0.5 g metformin or placebo was given three times daily. The primary outcome was change in HOMA-IR from baseline to 4 months after baseline visit. Secondary outcomes included changes in the glucose AUC during an oral glucose tolerance test, BMI and side effects at 4 months after baseline visit. MAIN RESULTS AND THE ROLE OF CHANCE: After 4 months of treatment, the changes of HOMA-IR were -0.5 (decreased 14.7%) in the true acupuncture group, -1.0 (decreased 25.0%) in the metformin group and -0.3 (decreased 8.6%) in the sham acupuncture group, when compared with baseline. True acupuncture is not as effective as metformin in improving HOMA-IR at 4 months after baseline visit (difference, 0.6; 95% CI, 0.1-1.1). No significant difference was found in change in HOMA-IR between true and sham acupuncture groups at 4 months after baseline visit (difference, -0.2; 95% CI, -0.7 to 0.3). During the 4 months of treatment, gastrointestinal side effects were more frequent in the metformin group, including diarrhea, nausea, loss of appetite, fatigue, vomiting and stomach discomfort (31.6%, 13.2%, 11.4%, 8.8%, 14.0% and 8.8%, respectively). Bruising was more common in the true acupuncture group (14.9%). LIMITATIONS, REASONS FOR CAUTION: This study might have underestimated the sample size in the true acupuncture group with 4 months of treatment to enable detection of statistically significant changes in HOMA-IR with fixed acupuncture (i.e. a non-personalized protocol). Participants who withdrew because of pregnancy did not have further blood tests and this can introduce bias. WIDER IMPLICATIONS OF THE FINDINGS: True acupuncture did not improve insulin sensitivity as effectively as metformin in women with PCOS and IR, but it is better than metformin in improving glucose metabolism (which might reduce the risk of type 2 diabetes) and has less side effects. Metformin had a higher incidence of gastrointestinal adverse effects than acupuncture groups, and thus acupuncture might be a non-pharmacological treatment with low risk for women with PCOS. Further studies are needed to evaluate the effect of acupuncture combined with metformin on insulin sensitivity in these women. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by grants 2017A020213004 and 2014A020221060 from the Science and Technology Planning Project of Guangdong Province. The authors have no conflicts of interest. TRIAL REGISTRATION NUMBER: Clinicaltrials.gov number: NCT02491333. TRIAL REGISTRATION DATE: 8 July 2015. DATE OF FIRST PATIENT'S ENROLLMENT: 11 November 2015.

Main control factors affecting mechanical oil recovery efficiency in complex blocks identified using the improved k-means algorithm.

The system efficiency of pumping units in the middle and late stages of oil recovery is characterized by several factors, complex data and poor regulation. Further, the main control factors that affect system efficiency in different blocks vary greatly; therefore, it is necessary to obtain the block characteristics to effectively improve system efficiency. The k-means algorithm is simple and efficient, but it assumes that all factors have the same amount of influence on the output value. This cannot reflect the obvious difference in the influence of several factors in the block on the efficiency. Moreover, the algorithm is sensitive to the selection of the initial cluster centre point, so each calculation result that reflects the efficiency characteristics of the block system cannot be unified. To solve the aforementioned problems affecting the k-means algorithm, the correlation coefficient of all the factors was first calculated, followed by extracting the system efficiency of the positive and negative indicators of standardization. Next, the moisture value was calculated to obtain the weight of each factor used as a coefficient to calculate the Euclidean distance. Finally, the initial centre point selection of the k-means algorithm problem was solved by combining the dbscan and weighted k-means algorithm. Taking an oil production block in the Daqing Oilfield as the research object, the k-means and improved algorithm are used to analyse the main control factors influencing mechanical production efficiency. The clustering results of the two algorithms have the characteristics of overlapping blocks, but the improved algorithm's clustering findings are as follows: this block features motor utilization, pump efficiency and daily fluid production, which are positively correlated with system efficiency. Further, low-efficiency wells are characterized by the fact that the pump diameter, power consumption, water content, daily fluid production, oil pressure and casing pressure are significantly lower than the block average; high-efficiency wells are characterized by pump depths lower than the block average. For this block, it is possible to reduce the depth of the lower pump and increase the water-injection effect to increase the output under conditions of meeting the submergence degree, which can effectively improve the system efficiency.

Novel Gene Signature Reveals Prognostic Model in Acute Myeloid Leukemia.

BACKGROUND: Acute myeloid leukemia (AML) is a clonal malignant disease with poor prognosis and a low overall survival rate. Although many studies on the treatment and detection of AML have been conducted, the molecular mechanism of AML development and progression has not been fully elucidated. The present study was designed to pursuit the molecular mechanism of AML using a comprehensive bioinformatics analysis, and build an applicable model to predict the survival probability of AML patients in clinical use. METHODS: To simplify the complicated regulatory networks, we performed the gene co-expression and PPI network based on WGCNA and STRING database using modularization design. Two machine learning methods, A least absolute shrinkage and selector operation (LASSO) algorithm and support vector machine-recursive feature elimination (SVM-RFE), were used to filter the common hub genes by five-fold cross-validation. The candidate hub genes were used to build the predictive model of AML by the cox-proportional hazards analysis, and validated in The Cancer Genome Atlas (TCGA) cohort and ohsu cohort, which were reliable in the experimental verification by qRT-PCR and western blotting in mRNA and protein levels. RESULTS: Three hub genes, FLT3, CD177 and TTPAL were used to build a clinically applicable model to predict the survival probability of AML patients and divided them into high and low groups. To compare the survival ability of the model with the classical clinical features, we generated the nomogram. The model displayed the most risk points contrast to other clinical characteristics, which was compatible with the data of cox multivariate regression. CONCLUSION: This study reveal the novel molecular mechanism of AML, and construct a clinical model significantly related to AML patient prognosis. We showed the integrated roles of critical pathways, hub genes associated, which provide potential targets and new research ideas for the treatment and early detection of AML.