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Abstract This study aimed to explore the association between inflammation-based prognostic markers and outcomes in non-small cell lung cancer (NSCLC) patients undergoing therapy with immune checkpoint inhibitors (ICIs). We conducted a comprehensive search of the Embase, PubMed, and Cochrane databases for studies that reported on the impact of inflammation-based prognostic factors, such as C-reactive protein (CRP), on the prognosis of NSCLC patients treated with ICIs. The primary outcomes of interest were overall survival (OS) and progression-free survival (PFS). Statistical analyses were performed using Stata 14 software, with assessments of publication bias and heterogeneity conducted as necessary. Our meta-analysis included 27 studies encompassing 5,174 patients, evaluating factors such as CRP, the modified Glasgow Prognostic Score (mGPS), and the CRP-albumin ratio (CAR). The analysis revealed that elevated levels of CRP were significantly correlated with both reduced PFS (I2 = 0%, P = 0.72; HR = 1.50, 95%CI: 1.33–1.67, P 0.05) and OS (I2 = 45.3%, P = 0.16; HR = 1.41, 95%CI: 0.70–2.13, P > 0.05) was not statistically significant. Our findings suggest that CRP and mGPS may serve as potential prognostic markers in NSCLC patients receiving immunotherapy. Nonetheless, further research with more homogeneous study populations is necessary to valid these observations.

Agricultural, rural, and farmer-related issues are of pivotal importance, significantly influencing the evolution of our party, nation, and state. Central to these multifaceted issues, the farmer's plight is three-fold: low earnings, the hardship of income augmentation, and a pronounced socioeconomic divide between rural and urban areas. The crux of resolving these agricultural, rural, and farmer-related issues lies in elevating the income levels of farmers. Utilizing data from the China Family Panel Studies (CFPS) 2018, this study probes the influence of social capital on the earnings of rural dwellers and delves into the intermediary role of non-agricultural employment. The findings indicate a substantial and positive correlation between social capital and rural income. The conclusions remain robust even after applying instrumental variable methods to counteract endogeneity. Mediation analysis reveals that social capital significantly boosts opportunities for non-agricultural employment, which, in turn, enhances the income of rural residents. Therefore, the roles of social capital and non-agricultural employment in income augmentation warrant careful consideration.

Abstract Background The use of regorafenib in the treatment of hepatocellular carcinoma (HCC) is widespread. Albumin-Bilirubin (ALBI) has been shown to be a potential prognostic marker for regorafenib treatment, but its prognostic value remains controversial. Therefore, we conducted a meta-analysis to investigate the value of the baseline ALBI grade in predicting the efficacy and survival outcomes of HCC patients after regorafenib treatment. Methods PubMed, Embase, Cochrane library, Web of Science, CNKI, Wan Fang Data, and Vip Database were searched from January 2010 to October 2022. Studies treating HCC patients with regorafenib and with ALBI as a categorical variable, overall survival (OS) and progression-free survival (PFS) as outcome indicators were included. After applying Newcastle–Ottawa Scale (NOS) to evaluate the quality of the included studies, Review Manager 5.4 was used to statistically analyze. Chi-square Q test and I2 statistics were used to detect heterogeneity. Funnel plot asymmetry, Egger’s and Begg’s test were used to evaluate publication bias. Results A total of 12 studies, comprising 1,918 patients, were included in the meta-analysis. The included studies were all evaluated as high quality. Compared to the high-grade baseline ALBI group, patients in the low-grade group had a longer survival time after receiving regorafenib and also more suitable for regorafenib treatment [odds ratio (OR) = 6.50, 95% confidence interval (CI): 2.22–18.96, P

Objective: Colorectal cancer remains a significant challenge with high mortality rates. The aim of this study was to investigate the effect of targeting the microRNA-148a/WNT10b axis with the long non-coding RNA LINC00261 on the proliferation and apoptosis of colorectal cancer cells. Methods: In vitro, small interfering RNA-LINC00261 and microRNA-148 inhibitor sequences were synthesized and transfected into SW480 cells. The study groups included a control group, small interfering RNA negative control group, small interfering RNA group, small interfering RNA negative control + microRNA -inhibitor group, small interfering RNA + microRNA -inhibitor group, and small interfering RNA + microRNA-negative control group. The transfection efficiency and expression levels of LINC00261 and miR-148a were evaluated by quantitative reverse transcription polymerase chain reaction. Cell proliferation, apoptosis, cell cycle distribution, and protein expression levels of WNT10b and β-catenin were evaluated by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay, flow cytometry, and Western blot, respectively. Results: After small interfering RNA-LINC00261 transfection, a significant decrease in cell proliferation (p

Objective: It is not well determined whether liver metastasis is a prognostic factor for survival of metastatic non-small cell lung cancer (NSCLC) patients who received immune checkpoint inhibitors (ICIs). We compared the efficacy of ICIs in patients with NSCLC with or without liver metastases, aiming to evaluate the impact of liver metastasis on survival of NSCLC. Methods: We systematically searched Pubmed, Embase, and the Cochrane library databases for randomized controlled trials (RCTs) on the efficacy of ICIs in the treatment of NSCLC patients with or without liver metastases. The duration of this search was from January 1, 2000 to June 1, 2022. The reviewers screened the literature, extracted data and conducted quality assessment, and used RevMan 5.4 software and Stata 14 to perform analyses. Results: A total of 17 RCTs were included, published from 2019 to 2022. For NSCLC patients with liver metastases, the risk of disease progression decreased by 36% (HR = 0.64; 95% CI: 0.55-0.75; P

Accurately simulating and predicting the urban expansion process, especially in expeditious urbanization areas, is an important aspect of managing limited land resources and adjusting flawed land use policies. This research was conducted on the basis of a high-temporal-resolution land use dataset to precisely model urban expansion in a rapidly developing zone by integrating the Artificial Neural Network (ANN), cellular automata (CA), and Markov Chain (MC). An urban suitability index (USI) map was created using ANN and fed to CA–MC to identify possible changed-to-urban cells. Two ANNs, multiple-layer perceptron (MLP) and long short-term memory network (LSTM), were implemented as simulation models for comparison. Due to its ability to capture more temporal information, LSTM outperformed MLP in modeling urban expansion dynamics over a short temporal interval. The simulated results were validated by (fuzzy) kappa simulation and the results revealed that the combination of ANN and CA–MC can precisely model the urban development locations due to its strength in revealing the nonlinear relationship between the expansion process and its drivers. The same model was applied to southern Auckland, and the compared results show that the most simulated variance is caused by the land use policies implemented by different types of governments.