Engineering and transcriptome study of Saccharomyces cerevisiae to produce ginsenoside compound K by glycerol.

Synthetic biology-based engineering of Saccharomyces cerevisiae to produce terpenoid natural products is an effective strategy for their industrial application. Previously, we observed that glycerol addition was beneficial for ginsenoside compound K (CK) production in a S. cerevisiae when it was fermented using the YPD medium. Here, we reconstructed the CK synthesis and glycerol catabolic pathway in a high-yield protopanaxadiol (PPD) S. cerevisiae strain. Remarkably, our engineered strain exhibited the ability to utilize glycerol as the sole carbon source, resulting in a significantly enhanced production of 433.1 ± 8.3 mg L-1 of CK, which was 2.4 times higher compared to that obtained in glucose medium. Transcriptomic analysis revealed that the transcript levels of several key genes involved in the mevalonate (MVA) pathway and the uridine diphosphate glucose (UDPG) synthesis pathway were up-regulated in response to glycerol. The addition of glycerol enhanced CK titers by augmenting the flux of the terpene synthesis pathway and facilitating the production of glycosyl donors. These results suggest that glycerol is a promising carbon source in S. cerevisiae, especially for the production of triterpenoid saponins.

Patient Preferences and Their Influence on Chronic Hepatitis B-A Review.

Chronic hepatitis B (CHB) is a common chronic viral infectious disease that requires long-term treatment to control the condition and prevent complications. To standardize treatment regimens for CHB, professional associations have established relevant guidelines, but they have often overlooked patient preferences. Historically, in the treatment process, medical decisions were predominantly made by physicians or health care administrators, with limited patient involvement, leading to the neglect of patient preferences. Patient attitudes, expectations, and needs are all influenced by their preferences, and patient preferences have a direct impact on treatment adherence. Understanding and respecting patient preferences are crucial to ensuring treatment effectiveness. This article will explore patient preferences in the treatment of CHB and elucidate the influence of patient preferences on treatment adherence, aiming to provide insights for the development of a more personalized and effective health care process.

Deploying green hydrogen to decarbonize China's coal chemical sector.

China's coal chemical sector uses coal as both a fuel and feedstock and its increasing greenhouse gas (GHG) emissions are hard to abate by electrification alone. Here we explore the GHG mitigation potential and costs for onsite deployment of green H2 and O2 in China's coal chemical sector, using a life-cycle assessment and techno-economic analyses. We estimate that China's coal chemical production resulted in GHG emissions of 1.1 gigaton CO2 equivalent (GtCO2eq) in 2020, equal to 9% of national emissions. We project GHG emissions from China's coal chemical production in 2030 to be 1.3 GtCO2eq, ~50% of which can be reduced by using solar or wind power-based electrolytic H2 and O2 to replace coal-based H2 and air separation-based O2 at a cost of 10 or 153 Chinese Yuan (CNY)/tCO2eq, respectively. We suggest that provincial regions determine whether to use solar or wind power for water electrolysis based on lowest cost options, which collectively reduce 53% of the 2030 baseline GHG emissions at a cost of 9 CNY/tCO2eq. Inner Mongolia, Shaanxi, Ningxia, and Xinjiang collectively account for 52% of total GHG mitigation with net cost reductions. These regions are well suited for pilot policies to advance demonstration projects.

Associations between insomnia and large vessel occlusion acute ischemic stroke: An observational study.

OBJECTIVES: This study explored the association between insomnia and the clinical outcome of large vessel occlusion Acute Ischemic Stroke (AIS) and attempted to explore its potential mechanisms from the perspectives of inflammation and oxidative stress. METHODS: AIS patients who underwent endovascular treatment for large vessel occlusion at Binzhou Central Hospital from 2018 to 2022 (n = 508) were included. Patients were divided into an insomnia group and a non-insomnia group. Insomnia was judged by self-reported Athens Insomnia Scale score. Regression analysis was used to compare the differences in the 24-hour and 7-day National Institutes of Health Stroke Scale (NIHSS) score, Early Neurological Deterioration (END), early adverse event incidence, 90-day prognosis and mortality, and serum biomarkers levels. RESULTS: The incidence of insomnia in the study population was 39.6% (n = 144, insomnia group; n = 364, non-insomnia group). Compared with the non-insomnia group, a worse prognosis outcome (63% vs. 49%, adjusted rate ratio: 1.8, 95% Confidence Interval: 1.2-3.7; p = 0.016), higher 24-h and 7-day NIHSS score (17 [9-36] vs. 13 [5-20]; p = 0.024, and 11 [4‒24) vs. 8 [2‒14]; p = 0.031, respectively), higher END (24% vs. 15%, p = 0.022), and higher incidence of adverse events were observed in the insomnia group (79% vs. 59%, p = 0.010). The 90-day mortality was higher in the insomnia group than that in the non-insomnia group (22% vs. 17%), however, such a difference was not statistically significant. CONCLUSION: Insomnia is closely related to the clinical outcome of AIS with large vessel occlusion, and inflammation and oxidative stress mechanisms may be involved.

Networking Chemicals Flows: Efficiency-Value-Environment Functionalized Symbiosis Algorithms and Application.

Maximizing the network of chemical symbiosis can enhance economic benefits and reduce life cycle environmental impacts, which are pivotal for achieving sustainability in the chemical industry. This study designs two innovative symbiosis algorithms, the Longest Path Algorithm and the Maximum Symbiosis Algorithm, specifically for chemical industrial clusters (CICs). The algorithms are applied to a prototypical CIC encompassing 569 distinct raw materials and yielding 435 unique products alongside 55 byproducts. First, the study provides an exhaustive overview of the assorted chemicals and their intrinsic traits, flow patterns, and conventional relationships within the cluster. On that basis, the former algorithm reveals that the longest path constitutes 5 enterprises, embodying the entire disperse dyestuff industry chain; the latter algorithm identifies 218 pairs of symbiotic relationships, leading to an additional 0.91 million tonnes of symbiotic chemicals. These interrelations also yield substantial cost savings of 1.25 billion CNY (0.17 billion US dollar) and enhance life cycle benefits by 0.62 to 11.87 times compared to the present status. The efficacious application of these algorithms to the cluster reaffirms their capacity to meet the designated objectives. This study introduces a fresh interdisciplinary standpoint to optimize chemical manufacturing processes and contributes essential theoretical underpinning for implementing pollution and carbon reduction strategies in similar CICs.

Unveiling the Nexus Profile of Embodied Water-Energy-Carbon-Value Flows of the Yellow River Basin in China.

Unveiling the nexus profile of the water-energy-carbon (WEC) and value flows embodied in regional trade is essential for enhancing the co-benefits between economic development and environment conservation. However, minimal research explores the WEC and value-added nexus efficiency of the Yellow Basin River (YRB) with a comprehensive framework. Thus, this study built a nexus framework based on a multiregional input-output model (MRIO) to analyze embodied WEC and value-added flows in the nine provinces of the YRB and all 31 provinces of China, primarily in 2017 compared to 2012 and 2015. Three dimensions (space, sectors, and environmental and economic factors) depict the WEC and value-added nexus patterns. The results from these three dimensions uncovered that the YRB benefits from regional trade but suffers environmental losses, and the development imbalance among the provinces of the basin is exacerbated. The proposed integrated framework can be generalized to water-energy extended nexus analysis in other regions to portray a more complex human-environment system nexus pattern. The new knowledge of how embodied WEC interacts with concomitant economic activities within and beyond the YRB can benefit multiresource-integrated management in the YRB and coordinated regional development in China.

Carbon Mitigation and Environmental Co-Benefits of a Clean Energy Transition in China's Industrial Parks.

Industrial parks are emerging priorities for carbon mitigation. Here we analyze air quality, human health, and freshwater conservation co-benefits of decarbonizing the energy supply of 850 China's industrial parks. We examine a clean energy transition including early retirement of coal-fired facilities and subsequent replacement with grid electricity and onsite energy alternatives (municipal solid waste-to-energy, rooftop photovoltaic, and distributed wind power). We find that such a transition would reduce greenhouse gas emissions by 41% (equal to 7% of 2014 national CO2 equivalent emissions); emissions of SO2 by 41%, NOx by 32%, and PM2.5 by 43% and freshwater consumption by 20%, relative to a 2030 baseline scenario. Based on modeled air pollutant concentrations, we estimate such a clean energy transition will result in ∼42,000 avoided premature deaths annually due to reduced ambient PM2.5 and ozone exposure. Costs and benefits are monetized including technical costs of changes in equipment and energy use and societal benefits resulting from improvements in human health and reductions of climate impacts. We find that decarbonizing industrial parks brings annual economic benefits of US$30-156 billion in 2030. A clean energy transition in China's industrial parks thus provides both environmental and economic benefits.

Associating brain imaging phenotypes and genetic risk factors via a hypergraph based netNMF method.

Abstract: Alzheimer's disease (AD) is a severe neurodegenerative disease for which there is currently no effective treatment. Mild cognitive impairment (MCI) is an early disease that may progress to AD. The effective diagnosis of AD and MCI in the early stage has important clinical significance. Methods: To this end, this paper proposed a hypergraph-based netNMF (HG-netNMF) algorithm for integrating structural magnetic resonance imaging (sMRI) of AD and MCI with corresponding gene expression profiles. Results: Hypergraph regularization assumes that regions of interest (ROIs) and genes were located on a non-linear low-dimensional manifold and can capture the inherent prevalence of two modalities of data and mined high-order correlation features of the two data. Further, this paper used the HG-netNMF algorithm to construct a brain structure connection network and a protein interaction network (PPI) with potential role relationships, mine the risk (ROI) and key genes of both, and conduct a series of bioinformatics analyses. Conclusion: Finally, this paper used the risk ROI and key genes of the AD and MCI groups to construct diagnostic models. The AUC of the AD group and MCI group were 0.8 and 0.797, respectively.

Patient Preferences for Cardiac Rehabilitation - A Systematic Review.

Background: Although a large number of studies have demonstrated the effectiveness of cardiac rehabilitation(CR), patient preferences for CR remain unclear. Knowing patient preferences may contribute to increasing patient participation and adherence, thus improving patient prognosis. Methods: A systematic search was carried out using electronic databases and manual reference checks from inception until 15th June 2022. Quantitative studies, qualitative studies and mixed methods studies assessing patient preferences for CR were included. Two researchers independently conducted study selectionand data extraction. CR preferences were divided into three categories: CR settings, CR components, and CR contents. A narrative synthesis was applied to integrate the results of the included studies. The Mixed Methods Appraisal Tool (MMAT) was used to assess the quality of included studies. Results: Ultimately, 17 publications were included in this study. Regarding CR settings, most patients preferred the hospital to home, some considered both, and a few were willing to accept the local CR club as an alternative setting to the hospital. For CR components, regardless of age and gender, patients considered exercise training and nutrition counseling to be the most important and smoking cessation to be the least important. In exercise intervention of CR contents, progress discussion and encouragement were rated as most critical, and non-conflicting with other activities was rated as least critical. In psychological intervention of CR contents, most patients were willing to accept psychological intervention, and a few patients wanted to heal the trauma with the passage of time. Conclusion: This systematic review provides important insights into patient preferences for CR, clarifying patient preferences for CR settings, components, and contents, along with possible influencing factors. Patient preferences may change due to the COVID-19 epidemic, and there is still a need to focus on patient preferences for CR and conduct more relevant primary research to validate the findings of this paper in the future.

Associations between insomnia and large vessel occlusion acute ischemic stroke: An observational study

Abstract Objectives: This study explored the association between insomnia and the clinical outcome of large vessel occlusion Acute Ischemic Stroke (AIS) and attempted to explore its potential mechanisms from the perspectives of inflammation and oxidative stress. Methods: AIS patients who underwent endovascular treatment for large vessel occlusion at Binzhou Central Hospital from 2018 to 2022 (n = 508) were included. Patients were divided into an insomnia group and a non-insomnia group. Insomnia was judged by self-reported Athens Insomnia Scale score. Regression analysis was used to compare the differences in the 24-hour and 7-day National Institutes of Health Stroke Scale (NIHSS) score, Early Neurological Deterioration (END), early adverse event incidence, 90-day prognosis and mortality, and serum bio-markers levels. Results: The incidence of insomnia in the study population was 39.6% (n = 144, insomnia group; n = 364, non-insomnia group). Compared with the non-insomnia group, a worse prognosis outcome (63% vs. 49%, adjusted rate ratio: 1.8, 95% Confidence Interval: 1.2-3.7; p = 0.016), higher 24-h and 7-day NIHSS score (17 [9-36] vs. 13 [5-20]; p = 0.024, and 11 [4‒24) vs. 8 [2‒14]; p = 0.031, respectively), higher END (24% vs. 15%, p = 0.022), and higher incidence of adverse events were observed in the insomnia group (79% vs. 59%, p = 0.010). The 90-day mortality was higher in the insomnia group than that in the non-insomnia group (22% vs. 17%), however, such a difference was not statistically significant. Conclusion: Insomnia is closely related to the clinical outcome of AIS with large vessel occlusion, and inflammation and oxidative stress mechanisms may be involved.

VO2-assisted multifunctional metamaterial for polarization conversion and asymmetric transmission.

A VO2-assisted temperature-controlled multifunctional metamaterial polarization converter with large asymmetric transmission (AT) is proposed by introducing a gold-VO2 grating. The converter can be switched between reflection mode and transmission mode by controlling the phase transition. When VO2 is in the metallic state, the converter works in reflection mode, converting the incident forward/backward linearly/circularly polarized waves into the cross-polarized waves, and the broadband polarization conversion rates (PCRs) can reach 90% with relative bandwidth of up to 91.1% and 87.5%, respectively; when VO2 is in the insulating state, the converter shows giant AT effect for circularly polarized waves at 0.64 THz and 1.28 THz. The multifunctional polarization converter holds great potential in the fields of communication and imaging, which provides a new way to design optical devices such as polarizers, isolators.

The occurrence, distribution and removal of adsorbable organic halogens (AOX) in a typical fine chemical industrial park.

Coastal water quality in China has been impacted by direct discharge of industrial wastewater, and various kinds of AOX pollutants have been detected in the seawater and sediment. As the dominant pollution source of Hangzhou Bay, a typical fine chemical industry park "HSEDA" was selected as the study area in this research. The AOX in both wastewater and sludge phases from 22 large-scaled enterprises were simultaneously investigated. The results quantitatively illustrated the AOX flows from engineered wastewater and sludge treatment systems to natural environment. It can be seen that industrial enterprises discharged at least 160 t AOX every year, and about 105.4 t/a AOX eventually entered the natural environment. The dye manufacturing industry, which accounted for more than 60% of the total AOX emission load in HSEDA, was identified as the AOX pollution-intensive sector. The occurrence, characteristic pollutants and fate of AOX in dye wastewater were discussed, on the basis of which the improvements of cleaner production and wastewater treatment technologies have been put forward.

Managing Methane Emissions in Abandoned Coal Mines: Comparison of Different Recovery Technologies by Integrating Techno-Economic Analysis and Life-Cycle Assessment.

Methane emissions from worldwide increasing abandoned coal mines have posed multiple challenges of global warming, energy waste, and explosion risk. This study first profiles the dynamic patterns of coal mine methane emissions in different recovery technologies, methane extraction with drainage (MEWD, mine-water concurrently extracted and treated) and direct methane extraction (DME, noncontrol on mine-water), in two abandoned mines from Ningxia and Inner Mongolia as China's leading coal provinces. Then, we conducted a techno-economic analysis and life-cycle assessment to quantify their comprehensive benefits. The key findings are as follows: (1) MEWD can long recover methane, although the economic profits decrease with declining methane extraction volume. DME can only work for ∼5 years, after which the mine is flooded, where methane is sealed underground and not recoverable. (2) MEWD drains and further treats the mine-water with an additional 29.4-35.9 million CNY cost compared with DME, while MEWD can achieve greater life-cycle environmental benefits with more cumulative methane recovery, whose CO2-eq (GWP-100) and SO2 reductions are 64.4 and 53.4% higher than those of DME. (3) MEWD is more promising for large-scale implementation, where feed-in tariffs and carbon market measures can improve the economics for sustainable management of incremental abandoned mine methane.

Ozone oxidation of 2,4,6-TCP in the presence of halide ions: Kinetics, degradation pathways and toxicity evaluation.

2,4,6-Trichlorophenol (2,4,6-TCP) is extensively consumed in industrial production and may cause environmental damages. The effect of halide ions on the decomposition of 2,4,6-TCP has often been overlooked. In this study, the bromide ion was found to have a stronger negative impact on 2,4,6-TCP degradation than chloride ion in the O3 system, and led to the formation of adsorbable organic halogens (AOX). Kinetic modeling demonstrated that the concentration of various radicals was largely depended on the solution pH, and stronger basicity not only contributed to the mineralization of 2,4,6-TCP, but also inhibited the formation of halogenated by-products. Combining the intermediate identification and quantum chemical calculation, the degradation pathways of 2,4,6-TCP during ozone oxidation process were proposed. The toxicity test and ECOSAR simulation demonstrated that the acute toxicity of some 2,4,6-TCP degradation intermediates was relatively higher than their parent compound. With high concentrations of halide ions, the ozone-treated solution showed greater toxicity than the originator 2,4,6-TCP solution. These results illustrate that the ozone treatment of the halide-containing wastewater may cause potential ecological hazards and its application needs to be more cautious.

miR-497 defect contributes to gastric cancer tumorigenesis and progression via regulating CDC42/ITGB1/FAK/PXN/AKT signaling.

Gastric cancer (GC) is one of the leading causes of cancer-related death worldwide. MicroRNAs (miRNAs) are known to be important regulators of GC. This study aims to investigate the role of miRNA (miR)-497 in GC. We demonstrated that the expression of miR-497 was downregulated in human GC tissues. After N-methyl-N-nitrosourea treatment, the incidence of GC in miR-497 knockout mice was significantly higher than that in wild-type mice. miR-497 overexpression suppressed GC cell proliferation, cell-cycle progression, colony formation, anti-apoptosis ability, and cell migration and invasion capacity. Additionally, miR-497 overexpression decreased the expression levels of cell division cycle 42 (CDC42) and integrin ß1 (ITGB1) and inhibited the phosphorylation of focal adhesion kinase (FAK), paxillin (PXN), and serine-threonine protein kinase (AKT). Furthermore, overexpression of miR-497 inhibited the metastasis of GC cells in vivo, which could be counteracted by CDC42 restoration. Furthermore, the focal adhesion of GC cells was found to be regulated by miR-497/CDC42 axis via ITGB1/FAK/PXN/AKT signaling. Collectively, it is concluded that miR-497 plays an important role in the repression of GC tumorigenesis and progression, partly via the CDC42/ITGB1/FAK/PXN/AKT pathway.

Managing water sustainability in textile industry through adaptive multiple stakeholder collaboration.

Textile manufacturing poses pressing challenges on water sustainability characterized by intensive chemical consumption and waterborne pollution. Industrial clustering is a hallmark of textile industry development, featuring a two-stage wastewater treatment system consisting of in-plant and centralized treatment facilities. Driven by increasingly stringent wastewater discharge limits, three pillar stakeholders in textile industrial clusters, the local government, enterprises and environmental utility operators, seek for systematic countermeasures by balancing contradictory interests. This study presents a trilateral game model to uncover the economic and environmental tradeoffs among the three stakeholders targeting the optimization of wastewater systems. The model is solidified by a representative textile industrial cluster and is then extrapolated to 242 large-scale Chinese textile clusters to quantify the benefits. The key finds are (1) the in-use wastewater systems in many clusters function with low eco-efficiency; (2) the optimal paradigm is to adaptively leave room at half- to onefold for discharge limits from in-plant to centralized treatment facilities; (3) the environmental and economic benefits thereof are 24∼x223C61% and 6%, respectively, after retrofitting to the optimal paradigm for the Chinese textile clusters.

A decade advance in eco-efficiency and cost-benefits of emissions reduction targeting fine chemical manufacturers.

Fine chemical industry, characterized of small scale, large heterogeneity, and high added value, is the most technology-intensive and dynamic sub-sector in chemical industry, but also has much high environmental factor in production. This study aims to explore green development pathways of about 60 fine chemicals manufacturers in a typical fine chemical industrial park with an annual output of 15 billion USD in China. We analyzed eco-efficiency and cost-benefits of emissions reduction of the park during 2011-2019 from multiple perspectives, by integrating decoupling index, data envelopment analysis, and linear econometric model. The key findings are: (1) the fine chemical industry has witnessed a volatile paradigm of absolute decoupling between economic growth and environmental pressure during the past decade, with a decoupling index of -2.2-12.4; (2) variation of eco-efficiency between benchmark enterprises and majority of enterprises are remarkable, at an average scope of 0.23-0.35, among which 77%-85% enterprises under-performed the average; and pharmaceutics production in particular needs a leapfrog to improve its performance substantially because 84%-95% of them were below the average; (3) pollutants emission plays a decisive role in affecting enterprises' eco-efficiency, and water pollutants work more in first half decade and air pollutants overturn in the second half; and (4) the marginal effect of control investment on water pollutants reductions has declined in 2019 by 66% (chemical oxygen demand (COD)) and 70% (ammonia nitrogen compounds (NH3-N)) compared with those of 2012; however, air pollutants reductions marginal effect is still in climb stage in 2019 by 607% (sulfur dioxide (SO2)) and 17% (nitrogen oxides (NOx)) compared with those in 2018. Fine chemical manufacturers are supposed to enforce a paradigm shift from end-of-pipe to systematic emissions control due to the decline trend of marginal cost-benefits on emissions reduction subsequently.

Effects of high-intensity interval training in patients with coronary artery disease after percutaneous coronary intervention: A systematic review and meta-analysis.

AIM: To evaluate whether high-intensity interval training (HIIT) was superior to low-intensity training or usual care among patients after percutaneous coronary intervention. The hypothesis was that HIIT would help patients after percutaneous coronary intervention (PCI) improve cardiopulmonary function, lipid profiles and in-stent restenosis. DESIGN: A systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA)2009 Checklist. METHODS: Randomized controlled trials (RCTs) focusing on HIIT programme in patients after PCI were searched in Cochrane Library, Web of Science Core Collection, EMbase, PubMed, China National Knowledge Infrastructure (CNKI) and SinoMed from the inception to 24 March 2020. Standard Mean difference (SMD) and 95% confidence intervals (CI) were performed to summarize the effect sizes. RESULTS: Six RCTs (247 patients) met the criteria. HIIT programme had a statistically significant effect on raising left ventricular ejection function (LVEF) (SMD = 0.38, 95%CI [0.03, 0.73], I2  = 3%), VO2peak (SMD = 0.94, 95%CI [0.61, 1.28], I2  = 0%), as well as improving the serum level of high-density lipoprotein (SMD = 0.55, 95%CI [0.06, 1.03], I2  = 0%) and late luminal loss (SMD = -0.65, 95%CI [-1.07, -0.23], I2  = 0%). But HIIT had no prominent effect on improving heart rate (SMD = -0.04, 95%CI [-0.29, 0.21], I2  = 0%). Summarily, HIIT programme appears to be favourable for CAD patients after PCI by improving cardiopulmonary function, such as LVEF and VO2peak , as well as reducing late luminal loss in per stented arteries. Nevertheless, HIIT has no advantage for adjusting heart rate. More researches with rigorous methods are warranted to explore the controversy about lipid profiles.

An industrial structure adjustment model to facilitate high-quality development of an eco-industrial park.

The tradeoff between economic growth and environmental protection has been a critical issue in facilitating eco-industrial park development in China. As the principal contributors to China's industrial output, many industrial parks have been addressing the issues of intensive resource consumption and pollutant generation, driven by much stricter regulations on the environment and resource management. Retuning the industrial structure is a substantial way to address the environmental issues while promoting economic development, which are the goals of eco-industrial development. This study proposes a multi-criteria industrial structure adjustment model by employing a generalized reduced gradient method to find the optimal structure of an industrial park. The model aims to increase the overall resource utilization efficiency and industrial output efficiency through a decoupling between the economic development and environmental burden of the park. A Chinese eco-industrial park located in the capital, the Beijing Economic-technological Development Area (BDA), is used as an example to uncover a transformation roadmap from a high-speed mode to a high-quality mode. The constraints of the multi-criteria decision-making model mainly focus on the limits of water consumption and pollutant emissions by targeting an appropriate economic development rate. The key findings are as follows. First, BDA could achieve 186% economic growth with 20% water consumption and 30% contaminant reduction in five years (2020-2025) by optimizing the industrial structure. Second, the advanced manufacturing industries play significant roles in stimulating the high-quality development. Third, ammonia nitrogen is a crucial factor restricting economic development under the requests of the "dual control" policy. Forth, the industry that can use reclaimed water in production will get more development opportunities and space, and vice versa. The model can be applied in diverse industrial parks by modifying the parameters and associated constraints.

Identification of a Set of Genes Improving Survival Prediction in Kidney Renal Clear Cell Carcinoma through Integrative Reanalysis of Transcriptomic Data.

BACKGROUND: With an enormous amount of research concerning kidney cancer being conducted, various treatments have been applied to its cure. However, high recurrence and metastasis rates continue to pose a threat to the survival of patients with kidney renal clear cell carcinoma (KIRC). METHODS: Data from The Cancer Genome Atlas were downloaded, and a series of analyses were performed, including differential analysis, Cox analysis, weighted gene coexpression network analysis, least absolute shrinkage and selection operator analysis, multivariate Cox analysis, survival analysis, and receiver operating characteristic curve and functional enrichment analysis. RESULTS: A total of 5,777 differentially expressed genes were identified from the differential analysis. The Cox analysis showed 1,853 significant genes (P < 0.01). Weighted gene coexpression network analysis revealed that 226 genes in the module were related to clinical parameters, including Tumor-Node-Metastasis (TNM) staging. Least absolute shrinkage and selection operator and multivariate Cox analyses suggested that four genes (CDKL2, LRFN1, STAT2, and SOWAHB) had a potential function in predicting the survival time of patients with KIRC. Survival analysis uncovered that a high risk of these four genes was associated with an unfavorable prognosis. Receiver operating characteristic curve analysis further confirmed the accuracy of the risk score model. The analysis of clinicopathological parameters of the four identified genes revealed that they were associated with the progression of KIRC. CONCLUSION: The gene expression model consisting of CDKL2, LRFN1, STAT2, and SOWAHB is a promising tool for predicting the prognosis of patients with KIRC. The results of this study may provide insights into the diagnosis and treatment of KIRC.