Aim: To evaluate the premalignant and malignant lesions of the uterine cervix on light microscopy for apoptosis. To calculate and correlate the apoptotic index (AI), mitotic index (MI) and turnover index of the lesion...Aim: To evaluate the premalignant and malignant lesions of the uterine cervix on light microscopy for apoptosis. To calculate and correlate the apoptotic index (AI), mitotic index (MI) and turnover index of the lesions. Materials and methods: A 2-year retrospective (November 2007 to October 2009) and 1-year prospective study (November 2009 to October 2010). A total of 95 cases of premalignant and malignant lesions of cervix were studied. The hematoxylin-eosin stained slides were screened for apoptosis under oil immersion lens. Apoptotic index (AI) was calculated as the number of Apoptotic cells and Apoptotic bodies, expressed as percentage of total no. of tumour cells counted in each case. Mitotic index (MI) was calculated by counting mitosis among 1000 tumour cells. Turnover index (TOI) was obtained by adding MI and AI, i.e., (TOI = MI + AI). After calculating, all these indices were correlated with different grades of the cervical lesions. Results: Premalignant lesions were divided into four subgroups. On statistical analysis, it was found that the difference in the apoptotic indices and turnover indices in all the four subgroups was not statistically significant. However for mitotic indices, significant statistical difference was found in Subgroup II (mild dysplasia vs. moderate dysplasia) with a p value of 0.03 and in subgroup IV (squamous metaplasia vs. moderate/severe dysplasia) with a p value of 0.0005. Within the malignant group, we compared well differentiated with less well differentiated subgroup. Statistical analysis revealed a significant difference in TOI between the two subgroups of malignant tumours (p = 0.04). Statistical comparison between premalignant and malignant group of lesions showed a highly significant difference between the AI, MI and TOI with p value of 0.0001. Conclusion: We conclude that proliferative and apoptotic indices are useful in distinguishing between benign and malignant lesions of the cervix. Proliferative activity of a lesion is a reliable indicator of its malignant potential and together with apoptotic count gives an idea about the net growth of a tumour.展开更多
Objective: To study the effects of Kang Ai injection + conventional chemotherapy on tumor markers, apoptotic molecules and immune response in patients with advanced non-small cell lung cancer (NSCLC). Methods: Patient...Objective: To study the effects of Kang Ai injection + conventional chemotherapy on tumor markers, apoptotic molecules and immune response in patients with advanced non-small cell lung cancer (NSCLC). Methods: Patients diagnosed as advanced NSCLC in our hospital during March 2015 - October 2017 were randomly divided into the experimental group receiving Kang Ai injection + conventional chemotherapy and the control group receiving conventional chemotherapy. The contents of tumor markers, apoptotic molecules and immunologic cytokines in serum and the contents of immune cells in peripheral blood were determined before and after chemotherapy. Results: after chemotherapy, the content of CEA, CYFRA21-1, SCC-Ag, GDF15 and Livin in the serum of the two groups decreased significantly, and the content of PDCD5, P53 and Bax increased significantly, and the content of CEA, CYFRA21-1, SCC-Ag, GDF15, Livin in the serum of the experimental group were lower than those of the control group, and the content of PDCD5, P53 and Bax were higher than those of the control group;the content of CD3+ and CD4+ cells in peripheral blood and the content of IFN-γ, IL-2 in serum of control group significantly decreased, whereas the content of CD8+ cells in peripheral blood and the content of IL-4, IL-5 in serum significantly increased after chemotherapy;while the content of CD3+ and CD4+ cells in peripheral blood and the content of IFN-γ, IL-2 in serum of experimental group significantly increased, whereas the content of CD8+ cells in peripheral blood and the content of IL-4, IL-5 in serum significantly decreased after chemotherapy. Conclusion: Kang Ai injection + conventional chemotherapy in the treatment of advanced NSCLC can more significantly decrease the serum tumor markers, regulate the secretion of apoptotic molecules and anti-tumor immune response than conventional chemotherapy.展开更多
This research extensively evaluates three leading mathematical software packages: Python, MATLAB, and Scilab, in the context of solving nonlinear systems of equations with five unknown variables. The study’s core obj...This research extensively evaluates three leading mathematical software packages: Python, MATLAB, and Scilab, in the context of solving nonlinear systems of equations with five unknown variables. The study’s core objectives include comparing software performance using standardized benchmarks, employing key performance metrics for quantitative assessment, and examining the influence of varying hardware specifications on software efficiency across HP ProBook, HP EliteBook, Dell Inspiron, and Dell Latitude laptops. Results from this investigation reveal insights into the capabilities of these software tools in diverse computing environments. On the HP ProBook, Python consistently outperforms MATLAB in terms of computational time. Python also exhibits a lower robustness index for problems 3 and 5 but matches or surpasses MATLAB for problem 1, for some initial guess values. In contrast, on the HP EliteBook, MATLAB consistently exhibits shorter computational times than Python across all benchmark problems. However, Python maintains a lower robustness index for most problems, except for problem 3, where MATLAB performs better. A notable challenge is Python’s failure to converge for problem 4 with certain initial guess values, while MATLAB succeeds in producing results. Analysis on the Dell Inspiron reveals a split in strengths. Python demonstrates superior computational efficiency for some problems, while MATLAB excels in handling others. This pattern extends to the robustness index, with Python showing lower values for some problems, and MATLAB achieving the lowest indices for other problems. In conclusion, this research offers valuable insights into the comparative performance of Python, MATLAB, and Scilab in solving nonlinear systems of equations. It underscores the importance of considering both software and hardware specifications in real-world applications. The choice between Python and MATLAB can yield distinct advantages depending on the specific problem and computational environment, providing guidance for researchers and practitioners in selecting tools for their unique challenges.展开更多
文摘Aim: To evaluate the premalignant and malignant lesions of the uterine cervix on light microscopy for apoptosis. To calculate and correlate the apoptotic index (AI), mitotic index (MI) and turnover index of the lesions. Materials and methods: A 2-year retrospective (November 2007 to October 2009) and 1-year prospective study (November 2009 to October 2010). A total of 95 cases of premalignant and malignant lesions of cervix were studied. The hematoxylin-eosin stained slides were screened for apoptosis under oil immersion lens. Apoptotic index (AI) was calculated as the number of Apoptotic cells and Apoptotic bodies, expressed as percentage of total no. of tumour cells counted in each case. Mitotic index (MI) was calculated by counting mitosis among 1000 tumour cells. Turnover index (TOI) was obtained by adding MI and AI, i.e., (TOI = MI + AI). After calculating, all these indices were correlated with different grades of the cervical lesions. Results: Premalignant lesions were divided into four subgroups. On statistical analysis, it was found that the difference in the apoptotic indices and turnover indices in all the four subgroups was not statistically significant. However for mitotic indices, significant statistical difference was found in Subgroup II (mild dysplasia vs. moderate dysplasia) with a p value of 0.03 and in subgroup IV (squamous metaplasia vs. moderate/severe dysplasia) with a p value of 0.0005. Within the malignant group, we compared well differentiated with less well differentiated subgroup. Statistical analysis revealed a significant difference in TOI between the two subgroups of malignant tumours (p = 0.04). Statistical comparison between premalignant and malignant group of lesions showed a highly significant difference between the AI, MI and TOI with p value of 0.0001. Conclusion: We conclude that proliferative and apoptotic indices are useful in distinguishing between benign and malignant lesions of the cervix. Proliferative activity of a lesion is a reliable indicator of its malignant potential and together with apoptotic count gives an idea about the net growth of a tumour.
文摘Objective: To study the effects of Kang Ai injection + conventional chemotherapy on tumor markers, apoptotic molecules and immune response in patients with advanced non-small cell lung cancer (NSCLC). Methods: Patients diagnosed as advanced NSCLC in our hospital during March 2015 - October 2017 were randomly divided into the experimental group receiving Kang Ai injection + conventional chemotherapy and the control group receiving conventional chemotherapy. The contents of tumor markers, apoptotic molecules and immunologic cytokines in serum and the contents of immune cells in peripheral blood were determined before and after chemotherapy. Results: after chemotherapy, the content of CEA, CYFRA21-1, SCC-Ag, GDF15 and Livin in the serum of the two groups decreased significantly, and the content of PDCD5, P53 and Bax increased significantly, and the content of CEA, CYFRA21-1, SCC-Ag, GDF15, Livin in the serum of the experimental group were lower than those of the control group, and the content of PDCD5, P53 and Bax were higher than those of the control group;the content of CD3+ and CD4+ cells in peripheral blood and the content of IFN-γ, IL-2 in serum of control group significantly decreased, whereas the content of CD8+ cells in peripheral blood and the content of IL-4, IL-5 in serum significantly increased after chemotherapy;while the content of CD3+ and CD4+ cells in peripheral blood and the content of IFN-γ, IL-2 in serum of experimental group significantly increased, whereas the content of CD8+ cells in peripheral blood and the content of IL-4, IL-5 in serum significantly decreased after chemotherapy. Conclusion: Kang Ai injection + conventional chemotherapy in the treatment of advanced NSCLC can more significantly decrease the serum tumor markers, regulate the secretion of apoptotic molecules and anti-tumor immune response than conventional chemotherapy.
文摘This research extensively evaluates three leading mathematical software packages: Python, MATLAB, and Scilab, in the context of solving nonlinear systems of equations with five unknown variables. The study’s core objectives include comparing software performance using standardized benchmarks, employing key performance metrics for quantitative assessment, and examining the influence of varying hardware specifications on software efficiency across HP ProBook, HP EliteBook, Dell Inspiron, and Dell Latitude laptops. Results from this investigation reveal insights into the capabilities of these software tools in diverse computing environments. On the HP ProBook, Python consistently outperforms MATLAB in terms of computational time. Python also exhibits a lower robustness index for problems 3 and 5 but matches or surpasses MATLAB for problem 1, for some initial guess values. In contrast, on the HP EliteBook, MATLAB consistently exhibits shorter computational times than Python across all benchmark problems. However, Python maintains a lower robustness index for most problems, except for problem 3, where MATLAB performs better. A notable challenge is Python’s failure to converge for problem 4 with certain initial guess values, while MATLAB succeeds in producing results. Analysis on the Dell Inspiron reveals a split in strengths. Python demonstrates superior computational efficiency for some problems, while MATLAB excels in handling others. This pattern extends to the robustness index, with Python showing lower values for some problems, and MATLAB achieving the lowest indices for other problems. In conclusion, this research offers valuable insights into the comparative performance of Python, MATLAB, and Scilab in solving nonlinear systems of equations. It underscores the importance of considering both software and hardware specifications in real-world applications. The choice between Python and MATLAB can yield distinct advantages depending on the specific problem and computational environment, providing guidance for researchers and practitioners in selecting tools for their unique challenges.
