The research progress of application of sequencing technology to analyze the genetic information of drug resistant recurrent ovarian cancer

Ovarian cancer is a malignant tumor that seriously threatens the safety of women's life. Chemotherapy is an important treatment for ovarian cancer. Although the initial response rate of ovarian cancer patients to chemotherapy is high, most patients will still relapse and die. After a first-line chemotherapy of paclitaxel and platinum drugs, a study has shown that after chemotherapy, the initial response rate in advanced patients is as high as 80%, but 70% to 80% of patients eventually relapse. Although the chemotherapy regimen of ovarian cancer has been improved, the efficacy of ovarian cancer has not been fundamentally improved, The 5-year survival rate is still at 30% to 45%. The ubiquitous phenomenon of chemotherapeutic drug resistance is the central link that leads to the failure of chemotherapy and the improvement of survival rate. How to solve the problem of chemotherapeutic drug resistance in ovarian cancer is one of the difficulties in the treatment of ovarian cancer at present. The high frequency of tumor cell resistance suggests the occurrence of specific molecular mechanisms within the tumor, Using second-generation sequencing technology to detect tumor-specific molecular changes in the blood circulation. The real-time and dynamic detection of the whole genome information of tumor has broad application prospects in exploring the molecular mechanism of tumor drug resistance recurrence and transforming ctDNA from basic research to clinical application.

Dose-dense weekly paclitaxel and carboplatin compared with conventional paclitaxel and carboplatin treatment for stage II-IV ovarian cancer patients

We investigated dose-dense weekly paclitaxel and carboplatin compared with conventional paclitaxel and carboplatin treatment on stage II-IV ovarian cancer patients. Between July, 2011, and October, 2014, a total of 221 patients was randomly assigned to receive dose-dense weekly paclitaxel and carboplatin group (n = 109) and conventional paclitaxel and carboplatin group (n = 112), just after the sixth chemotherapy cycles, and at 12 months after randomization. Median progression-free survival (PFS) was 16.8 months (range 3.3-48+ months) of conventional paclitaxel and carboplatin group was lower than that of dose-dense weekly paclitaxel and carboplatin group 27.6 months (range 4.2-51+ months). But, these clinical responses were not statistical significance in each group. In conclusion, dose-dense weekly paclitaxel and carboplatin treatment improves survival compared with conventional paclitaxel and carboplatin treatment.

Viscosity Iterative Schemes for Finding Split Common Solutions of Variational Inequalities and Fixed Point Problems

We introduce some new iterative schemes based on viscosity approximation method for finding a split common element of the solution set of a pair of simultaneous variational inequalities for inverse strongly monotone mappings in real Hilbert spaces with a family of infinitely nonexpansive mappings. Some strong convergence theorems are also given. Our results generalize and improve some well-known results in the literature and references therein

Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics

BackgroundCervical cancer (CC) is one of the common malignant tumors in women, Currently, 30% of patients with intermediate to advanced squamous cervical cancer are still uncontrolled or recurrent after standard radical simultaneous radiotherapy; therefore, the search for critical genes affecting the sensitivity of radiotherapy may lead to new strategies for treatment.MethodsFirstly, differentially expressed genes (DEGs) between radiotherapy-sensitivity and radiotherapy-resistance were identified by GEO2R from the gene expression omnibus (GEO) website, and prognosis-related genes for cervical cancer were obtained from the HPA database. Subsequently, the DAVID database analyzed gene ontology (GO). Meanwhile, the protein-protein interaction network was constructed by STRING; By online analysis of DEGs, prognostic genes, and CCDB data that are associated with cervical cancer formation through the OncoLnc database, we aim to search for the key DEGs associated with CC, Finally, the key gene(s) was further validated by immunohistochemistry.Result298 differentially expressed genes, 712 genes associated with prognosis, and 509 genes related to cervical cancer formation were found. The results of gene function analysis showed that DEGs were mainly significant in functional pathways such as variable shear and energy metabolism. By further verification, two genes, ASPH and NKAPP1 were identified through validation as genes that affect both sensitivities to radiotherapy and survival finally. Then, immunohistochemical results showed that the ASPH gene was highly expressed in the radiotherapy-resistant group and had lower Overall survival (OS) and Progression-free survival (PFS).ConclusionThis study aims to better understand the characteristics of cervical cancer radiation therapy resistance-related genes through bioinformatics and provide further research ideas for finding new mechanisms and potential therapeutic targets related to cervical cancer radiation therapy

IOT network: models, structure, communications, problems

A brief analysis of the concepts and applications of IoT networks is carried out. Four models of building these networks as variants of component interaction are given: terminal, gateway, cloud, application. Variants of IoT network architectures are presented. Seven variants of interaction in Yota networks are considered. The analysis of problems in these networks and the direction of their solution are carried out

Research on the development law of karst caves on water conducting fractures under the influence of mining in Southwest Karst Mining Areas

Southwest Guizhou mining area is a typical karst development mining area in China. Under the influence of mining, the height of karst roof water conducting cracks is abnormally developed. During the rainy season, atmospheric precipitation is extremely easy to enter the underground working face through ultra-high water conducting channels, causing water inrush disasters at the working face, seriously affecting the normal production of the mine. Therefore, based on the analysis of the occurrence characteristics of karst caves in Xintian Coal Mine, the development rules of karst roof water conducting fracture zones during mining were studied by means of on-site measurement, indoor simulation, and theoretical analysis. The development mechanism of ultra-high water conducting fractures was revealed. The results show that: ①The roof karst caves in the study area have obvious zonation phenomenon from top to bottom in the layers such as the surface, the Yulongshan section, and the Changxing Formation. The surface water holes develop along the gullies, and the karst caves in the upper and middle parts of the strong aquifer in the Yulongshan section develop, presenting different forms of beads. The Changxing Formation only locally hosts karst caves with smaller diameters; ② Karst caves in karst aquifers have an important impact on water conducting fractures. Without karst caves, the development height of water conducting fractures is 43.1 m, and the fracture mining ratio is 14.4. Under karst caves, the development of water conducting fractures is abnormal, with a height of 173.1 m, and a fracture mining ratio of 57.7, which communicates with the strong limestone aquifer in the Yulong Mountain section; ③ Karst roof water conducting fissures consist of two parts: mining upward fissures and karst cave instability downward fissures. Under the influence of mining, karst caves become unstable under the combined action of concentrated stress and mining additional stress, and are prone to form downward fissures, which communicate with mining upward fissures, ultimately forming a special ultra-high water conducting fissure in southwestern Guizhou mining area