ABSTRACT
Cell mechanics is essential to cell development and function,and its dynamics evolution reflects the physiological state of cells.Here,we investigate the dynamical mechanical properties of single cells under various drug conditions,and present two mathematical approaches to quantitatively character-izing the cell physiological state.It is demonstrated that the cellular mechanical properties upon the drug action increase over time and tend to saturate,and can be mathematically characterized by a linear time-invariant dynamical model.It is shown that the transition matrices of dynamical cell systems signifi-cantly improve the classification accuracies of the cells under different drug actions.Furthermore,it is revealed that there exists a positive linear correlation between the cytoskeleton density and the cellular mechanical properties,and the physiological state of a cell in terms of its cytoskeleton density can be predicted from its mechanical properties by a linear regression model.This study builds a relationship between the cellular mechanical properties and the cellular physiological state,adding information for evaluating drug efficacy.
ABSTRACT
Neutrophil elastase(NE),a major protease in the primary granules of neutrophils,is involved in microbicidal activity.NE is an important factor promoting inflammation,has bactericidal effects,and shortens the inflammatory process.NE also regulates tumor growth by promoting metastasis and tumor microenvironment remodeling.However,NE plays a role in killing tumors under certain conditions and promotes other diseases such as pulmonary ventilation dysfunction.Additionally,it plays a complex role in various physiological processes and mediates several diseases.Sivelestat,a specific NE inhibitor,has strong potential for clinical application,particularly in the treatment of coronavirus disease 2019(COVID-19).This review discusses the pathophysiological processes associated with NE and the potential clinical applications of sivelestat.
ABSTRACT
ObjectiveTo investigate prognostic factors in Stage Ⅲ non-small cell lung cancer (NSCLC)treated with definitive radiation therapy (RT) with PET-CT-based radiotherapy planning. MethodsFifty nine patients with Stage Ⅲ NSCLC treated with radiation therapy of 60 Gy or more were enrolled into this study.The impact of prognostic factors on survival was evaluated by univariate and multivariate analyses. Results The following-up rate was 98％.Nineteen patients completed 2 years' followed-up. The overall l-year and 2-year survival rate was 66％ and 37％, respectively, with a median survival time of 17 months. At a univariate analysis, cigarette smoking status, T stage, radiation dose, the standardized uptake value, the gross tumor volume and clinical stage were significant prognostic factors ( x2 =7.46,7. 52,8.37,4. 97,5.82,4. 37, P =0. 006,0. 006,0. 004,0. 026,0. 016,0. 037, respectively ).At multivariate analyses, cigarette smoking status, radiation dose, gross tumor volume and clinical stage were significant prognostic factors ( x2 =6. 20, 9. 69, 6. 39, 10. 09, P =0. 013,0. 002, 0. 011,0. 001,respectively). Conclusions Cigarette smoking status, radiation dose, gross tumor volume and clinical stage are significant prognostic factors on survival in patients with Stage Ⅲ NSCLC treated with RT based on PET-CT radiotherapy planning.
ABSTRACT
Objective To evaluate the prognostic value of fluorodeoxyglucose (FDG) standardized uptake value (SUV) of positron emission tomography (PET) before radiotherapy in non-small cell lung cancer (NSCLC) treated with three-dimensional conformal radiation therapy (3DCRT). Methods Seventy-three patients with stage Ⅲ NSCLC underwent PET to calculate SUV within 2 weeks before 3DCRT. The a-nalysis was carried out after the irradiation of 60 -66 Gy. The possible prognostic factors were assessed by Cox proportional hazards model. Results The mean SUV for squamous cell carcinoma, adenocarcinoma and others were 16.94, 14.40 and 6.33, respectively (F = 0. 51, P = 0. 604). The mean SUV for tumor volume less than and more than 50 cm~3 was 13.81 and 20.18 (F = 7.54, P = 0. 008). In the univariate analysis, a cutoff SUV of 17 and chemotherapy were correlated with the prognosis. In the multivariate analysis, SUV was the only independent prognostic factor (relative risk = 2.61). Conclusions SUV is a prognostic factor in patients with NSCLC treated by 3DCRT, which deserves further studies.