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Promoting the "double security" of agricultural economy and ecology is the key to the agricultural modernization strategy, and the large-scale development of agriculture is an essential way for modern agriculture. Based on the micro-survey of 697 corn growers from August to September 2020 in China, the super-efficiency SBM model was used to calculate farmers' green total factor productivity. We further used the propensity score matching method to identify the impact of farmland inflow on farmers' green total factor productivity and dissect the internal mechanism. The study found that: firstly, compared with the non-inflowed households, the green total factor productivity of the inflowed households increased by 14.66%; secondly, farmland inflow can significantly improve farmers' green total factor productivity through the marginal output leveling effect, transaction benefit effect, and technology adoption effect; thirdly, the influence of farmland inflow on the green total factor productivity of farmers has heterogeneity in age, identity, and geographical location. Therefore, governments should establish a differentiated farmland inflow mechanism according to local conditions, enhance factor mobility and soil fertility monitoring capabilities, and drive a "win-win" between economic development and ecological protection.
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OBJECTIVE: To explore the value of programmed cell death protein 1 (PD-1), programmed cell death ligand 1 (PD-L1) and protein 53 (P53) in estimating the prognosis of patients with non-small cell lung cancer (NSCLC) after postoperative adjuvant chemoradiotherapy. METHODS: The clinical data of 100 patients with NSCLC who were treated with adjuvant chemoradiotherapy after pulmonary lobectomy in our hospital were retrospectively analyzed. The expression levels of PD-1, PD-L1 and P53 in tumor tissues were detected by immumohistochemical staining. The efficacy of chemoradiotherapy and survival time between patients with positive and negative expression of PD-1, PD-L1 and P53 were compared respectively to evaluate the correlation of PD-1, PD-L1 and P53 with chemoradiotherapy results in NSCLC. General data of patients were analyzed by single factor analysis. Multivariate logistic regression analysis was used to identify independent risk factors impacting the prognosis of NSCLC patients with postoperative adjuvant chemoradiotherapy. RESULTS: A significantly lower chemoradiotherapy effective rate and a remarkably shorter survival time were found in NSCLC patients with positive expression levels of PD-1, PD-L1 and P53 in tumor tissues as compared with those of negative results (all P<0.05). Single factor analysis revealed that gender, age, history of smoking, histological type, degree of differentiation, T stage, lymph node metastasis, expression levels of PD-1, PD-L1 and P53 showed significant correlations with the prognosis of NSCLC patients with postoperative adjuvant chemoradiotherapy (all P<0.05). High T stage (odds ratio (OR)=7.269), history of smoking (OR=5.128), lymph node metastasis (OR=4.647), PD-1 (+) (OR=7.556), PD-L1 (+) (OR=6.674), P53 (+) (OR=9.070), PD-1 (+) PD-L1 (+) (OR=6.095), PD-1 (+) P53 (+) (OR=6.752), PD-L1 (+) P53 (+) (OR=7.363), and PD-1 (+) PD-L1 (+) P53 (+) (OR=8.524) were determined by multiple logistic regression analysis to be independent risk factors influencing the effect of postoperative adjuvant chemoradiotherapy in NSCLC patients. CONCLUSION: There are numerous risk factors affecting the effect of postoperative adjuvant chemoradiotherapy in NSCLC patients, of which NSCLC patients with positive expression of PD-1, PD-L1 and P53 had a worse prognosis than those with negative results. PD-1, PD-L1 and P53 can serve as effective prognostic indicators for NSCLC after chemoradiotherapy. In clinical practice, monitoring these three indicators contributes to the adjustment of therapeutic regimen and gives some guidance.
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BACKGROUND: Osteosarcoma (OS) patients with metastasis have very dismal prognoses, and lack effective target therapies. Overexpression of cytosolic phospholipase A2 (cPLA2) has been shown to promote progression in several types of cancers, but its functions in OS have not been investigated. MATERIALS AND METHODS: In our study, the expression of cPLA2a was detected with immunohistochemistry in 102 cases of OS. The clinical significance of cPLA2a was evaluated by analyzing its correlation with clinicopathological factors. The prognostic significance of cPLA2a was estimated by univariate and multivariate analysis. The oncogenic functions of cPLA2a on cell proliferation and invasion were investigated by MTT assay and tranwell assay respectively. Western blotting was applied to detect the markers of epithelial-mesenchymal transition (EMT) after silencing cPLA2a expression or inhibiting its activity by a specific antagonist. RESULTS: In our study, high expression of cPLA2a was significantly associated with metastasis and advanced Enneking stage. High cPLA2a expression was significantly associated with poor prognosis and it was an independent prognostic biomarker of OS. By silencing cPLA2a or inhibiting its activity by a specific antagonist, we demonstrated that cPLA2a promoted cell invasion of OS cells via inducing the EMT process. CONCLUSIONS: High cPLA2a expression was an independent prognostic biomarker of OS, and cPLA2a could promote OS cell invasion via inducing the EMT process, indicating that cPLA2a was an independent prognostic biomarker and may be an effective drug target for OS.