Background: Autophagy plays an important role in the development of cancer. However, the prognostic value of autophagy-related genes (ARGs) in cervical cancer (CC) is unclear. The purpose of this study is to construct a survival model for predicting the prognosis of CC patients based on ARG signature.Methods: ARGs were obtained from the Human Autophagy Database and Molecular Signatures Database. The expression profiles of ARGs and clinical data were downloaded from the TCGA database. Differential expression analysis of CC tissues and normal tissues was performed using R software to screen out ARGs with an aberrant expression. Univariate Cox, Lasso, and multivariate Cox regression analyses were used to construct a prognostic model which was validated by using the test set and the entire set. We also performed an independent prognostic analysis of risk score and some clinicopathological factors of CC. Finally, a clinical practical nomogram was established to predict individual survival probability.Results: Compared with normal tissues, there were 63 ARGs with an aberrant expression in CC tissues. A risk model based on 3 ARGs was finally obtained by Lasso and Cox regression analysis. Patients with high risk had significantly shorter overall survival (OS) than low-risk patients in both train set and validation set. The ROC curve validated its good performance in survival prediction, suggesting that this model has a certain extent sensitivity and specificity. Multivariate Cox analysis showed that the risk score was an independent prognostic factor. Finally, we mapped a nomogram to predict 1-, 3-, and 5-year survival for CC patients. The calibration curves indicated that the model was reliable.Conclusion: A risk prediction model based on CHMP4C, FOXO1, and RRAGB was successfully constructed, which could effectively predict the prognosis of CC patients. This model can provide a reference for CC patients to make precise treatment strategy.

Background: The Unc-93 homolog B1 (UNC93B1) is a transmembrane protein that is associated with immune diseases such as influenza, herpes simplex encephalitis, and systemic lupus erythematosus; however, the role of UNC93B1 in cancer (including human breast cancer) is known less. The analysis of the association between UNC93B1 expression and breast cancer survival is also unclear. Methods: We used multiple online databases including Oncomine, GEPIA, bcGenExMiner v4.6 and PrognoScan, to conduct bioinformatics analysis of clinical parameters and survival data related to UNC93B1 in breast cancer patients. Results: It was found that UNC93B1 was expressed in different subtypes of breast cancer compared to normal tissues. Scarff-Bloom-Richardson (SBR) classification, Nottingham prognostic index (NPI), estrogen receptor (ER) negative, progesterone receptor (PR) negative epidermal growth factor receptor-2 (HER2) positive and lymph node positive are positively correlated with the UNC93B1 level. We found that increased expression of UNC93B1 was associated with worse relapse-free survival, disease-specific survival, and overall survival. We also confirmed the positive correlation between UNC93B1 and ALDH3B1 gene expression. Conclusion: The lower expression of UNC93B1 was correlated with better clinical prognostic parameters and clinical survival in breast cancer on the basis of the bioinformatic analysis.

The low-noise operation of ships will be affected by the vibration of centrifugal pumps, which are widely implemented in vessels. Available papers mainly focused on the structural optimization of pump components with less concentration on their assembly process, which include coaxiality, circle-runout and clearance fit, etc. The clearance between the impeller and wear ring, which is named wear-ring clearance, is influenced by the manufacturing and assembly process and has an impact on vibration. An investigation of the influence of key process parameters on the vibration characteristics of the pump based on wear-ring clearance is presented. A numerical model of the internal flow field of the pump is presented. The dynamic behavior in the frequency domain is obtained for fluid-solid interaction. The vibration is found to be more pronounced at some frequencies. A closed-loop dimensional chain system is constructed targeting the wear-ring clearance, and the circle-runout and coaxiality of some parts are found to have a prominent influence on it. A relationship between the key process parameters of the pump and vibration characteristics is established.

Objective: The aim of the present study was to construct a prognostic model based on the peptidyl prolyl cis–trans isomerase gene signature and explore the prognostic value of this model in patients with hepatocellular carcinoma.Methods: The transcriptome and clinical data of hepatocellular carcinoma patients were downloaded from The Cancer Genome Atlas and the International Cancer Genome Consortium database as the training set and validation set, respectively. Peptidyl prolyl cis–trans isomerase gene sets were obtained from the Molecular Signatures Database. The differential expression of peptidyl prolyl cis–trans isomerase genes was analyzed by R software. A prognostic model based on the peptidyl prolyl cis–trans isomerase signature was established by Cox, Lasso, and stepwise regression methods. Kaplan–Meier survival analysis was used to evaluate the prognostic value of the model and validate it with an independent external data. Finally, nomogram and calibration curves were developed in combination with clinical staging and risk score.Results: Differential gene expression analysis of hepatocellular carcinoma and adjacent tissues showed that there were 16 upregulated genes. A prognostic model of hepatocellular carcinoma was constructed based on three gene signatures by Cox, Lasso, and stepwise regression analysis. The Kaplan–Meier curve showed that hepatocellular carcinoma patients in high-risk score group had a worse prognosis (p < 0.05). The receiver operating characteristic curve revealed that the area under curve values of predicting the survival rate at 1, 2, 3, 4, and 5 years were 0.725, 0.680, 0.644, 0.630, and 0.639, respectively. In addition, the evaluation results of the model by the validation set were basically consistent with those of the training set. A nomogram incorporating clinical stage and risk score was established, and the calibration curve matched well with the diagonal.Conclusion: A prognostic model based on 3 peptidyl prolyl cis–trans isomerase gene signatures is expected to provide reference for prognostic risk stratification in patients with hepatocellular carcinoma.

In some important equipment such as vessels, the requirements for vibration reduction and cost-effectiveness of centrifugal pumps are becoming more and more stringent. It becomes really essential to present a method to assign manufacturing accuracy for shaft system assembly considering vibration and cost. A numerical model of the pump shaft system is developed to analyze the residual unbalance of the pump shaft system. The finite element model was verified through prototype tests. A machining accuracy allocation scheme is proposed by using an orthogonal design, and the cost and vibration intensity of the shaft system generated by vibration are evaluated. Based on this, a method to distribute shaft system machining accuracy is proposed to control the cost as much as possible while ensuring the vibration. Through orthogonal design, multiple sets of key parameter combinations are obtained, the vibration response of the shaft system under the parameter combination is calculated, and the contribution of each shaft system error to the shaft frequency vibration is analyzed. Combining the relative machining cost of the shaft system under different parameter combinations, the optimal allocation of the key parameters of the shaft system is completed based on vibration evaluation and relative cost.