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Background Secreted protein acidic and rich in cysteine (SPARC) is always considered as a marker of poor prognosis. However, it helps to transport nab-paclitaxel and may lead better therapeutic ending. This meta-analysis was aimed to assess the relationship between SPARC expression level and clinical efficacy of nab-paclitaxel. Methods The PubMed and Embase databases were searched from inception to April 2020, and search terms included nanoparticle albumin-bound paclitaxel, nab-paclitaxel, nab-PTX, Abraxane, ABI-007, secreted protein acidic and rich in cysteine, SPARC, osteonectin, and BM-40. In addition, funnel plots were used to indicate the existence of publication bias. Results After further screening the full text, 5 studies that involved 336 patients were finally included in the study, of which, 3 studies concentrated on non-small cell lung cancer (NSCLC) and the other 2 on breast cancer and pancreatic cancer. SPARC status in tumor cells and stromal cells was taken into account. The HR for progression-free survival (PFS) between SPARC high and low groups was 1.25 (95% CI: 0.72–2.14, stromal cell) and 1.51 (95% CI: 0.93–2.46, tumor cell). The HR for OS between SPARC high and low groups was 1.07 (95% CI: 0.57–2.03, stromal cell) and 1.34 (95% CI: 0.74–2.43, tumor cell). It was revealed that SPARC expression level in tumor cells or stromal cells was not significantly correlated with the patient’s survival outcomes. No significant publication bias was found in each analysis. Conclusions SPARC expression level detected by immunohistochemistry (IHC) cannot predict the efficacy of nab-paclitaxel, while further large-scale clinical trials are required to confirm our findings.

Purpose: To analyze the expression of epithelial-mesenchymal transformation (EMT)-related genes in non-small cell lung cancer (NSCLC) and chronic obstructive pulmonary disease (COPD).Methods: Bronchoalveolar lavage fluid samples were collected from patients diagnosed with NSCLC, COPD, and COPD complicated with NSCLC. RNA from cells was extracted with Trizol reagent. Differential genes were screened and validated using the PCR Array and qRT-PCR, respectively.Results: The expressions of ITGB1, VIM, and MMP-9 were higher in the NSCLC group compared to the COPD group (P < 0.05). Moreover, the expressions of ITGB1, VIM, MMP-9, and Notch1 were higher, and the expression of KRT14 was lower in the complicated group compared to the NSCLC group (PConclusions: The upregulation of ITGB1, VIM, MMP-9, and Notch1 and downregulation of KRT14 might be closely related to the occurrence and development of NSCLC, mainly lung adenocarcinoma.

Based on pollutant emissions and social-economic data during 2011 and 2015, we selec-ted the total emission index of four pollutants, including the industrial source, agricultural source, and urban living source. The comprehensive index of environmental pollution and sub-source pollution index were built to reflect the pollution of Jilin Province at county scale. Furthermore, the Moran's I, spatial-temporal transition analysis, and standard deviation ellipse analysis were used to quantitatively examine the spatial-temporal evolutionary characteristics of environmental pollution in Jilin Province. A spatial econometric model was built to analyze the influencing factors of environmental pollution. The results showed that environmental pollution in Jilin Province presented spatial agglomeration characteristics, which was mainly concentrating in central areas such as Changchun and Jilin cities. There were obvious regional differences in the spatial distribution of environmental pollution from different sources. There were spatial correlation of the total environmental pollution and agricultural source pollution separately at county scale in Jilin Province. The correlation structure stability of the spatial distribution of environmental pollution was high, which had path locking characteristic. The spatial distribution of environmental pollution showed a northwest-southeast distribution pattern and a spread from the center to the surroundings. The barycenter of environmental pollution moved in the area between 43.65-43.66° N and 125.83-125.84° E. The level of regional economic development, urbanization level and agricultural production were main driving factors for county-scale environmental pollution and industrial source pollution. The adjustment and optimization of industrial structure had improved the overall environmental pollution and industrial source pollution situation. Overuse of chemical fertilizers significantly increased agricultural source pollution. The level of economic development and urbanization were the main drivers of urban living source pollution. The overall environmental pollution and agricultural source pollution had spatial diffusion effects, and their pollution status was closely related to the overall environmental pollution and agricultural source pollution status in adjacent areas, respectively.基于2011年和2015年环境污染物排放和经济社会数据,选取4类污染物的工业源、农业源和城镇生活源排放总量指标,通过构建整体环境污染综合指数和分来源污染指数综合反映吉林省县域尺度单元污染状况,运用Moran

Gruner put forward a single particle model of charge-density wave, which is a typical nonlinear differential equation, and also a mathematical model of pendulum. This Letter analyzes the solution of equation by the rotated vector fields theory, providing the relation between the applied field E and the periodic solution, and the conclusion that the critical value of E for the periodic solution is fixed in the over-damped situation. With these conclusions, it derives the formulae of nonlinear conductivity, narrow-band noise, which are consistent with the empirical ones given by Fleming., This is a version with a physics focus, the part with a mathematical focus is submitted at arXiv:0807.3288