Objective:To explore and analyze the expression and clinical significance of vascular endothelial growth factor(VEGF),hypoxia-inducible factor 1α(HIF-1α),and metabolic indicators in esophageal squamous cell carcinom...Objective:To explore and analyze the expression and clinical significance of vascular endothelial growth factor(VEGF),hypoxia-inducible factor 1α(HIF-1α),and metabolic indicators in esophageal squamous cell carcinoma(ESCC).Methods:Sixty ESCC patients admitted to the hospital from October 2021 to October 2023 were selected as the ESCC group.Sixty normal healthy patients from the same period were chosen as the control group.Their serum samples and tissue samples were collected.Metabolic indicators of all study subjects were obtained based on the basic biochemical results upon admission.RT-PCR was utilized to detect the expression of VEGF and HIF-1αin ESCC tissues.Results:The expression of VEGF and HIF-1αin the ESCC T3+T4 group was significantly higher than that of the carcinoma in situ(Tis)group,T1+T2 group,and control group.Furthermore,the expression of HIF-1αwas found to be related to the expression of VEGF,showing a significant correlation between the quantities.Significant differences in the levels of metabolic indicators were observed between the ESCC group and the control group(P<0.05).Conclusion:Metabolic indicators are associated with the onset of ESCC in patients.Abnormal lipid metabolism plays a crucial role in the occurrence and development of tumors.The expression of VEGF and HIF-1αin ESCC tissues significantly correlates with the tumor stage,providing a new reference for the diagnosis and treatment of ESCC.展开更多
叶面积指数(leaf area index,LAI)是单位地表面积上总叶面积的一半,是影响光合作用、蒸腾作用和能量平衡等地表过程的关键生物物理变量。鉴于光学遥感数据易受天气的影响,雷达遥感数据易受土壤等的影响,二者在叶面积指数反演方面各有利...叶面积指数(leaf area index,LAI)是单位地表面积上总叶面积的一半,是影响光合作用、蒸腾作用和能量平衡等地表过程的关键生物物理变量。鉴于光学遥感数据易受天气的影响,雷达遥感数据易受土壤等的影响,二者在叶面积指数反演方面各有利弊,提出了一种考虑不同数据反演结果不确定性的融合方法。研究测试了多种机器学习模型在中国张掖地区的玉米农田上估算LAI的性能。结果表明,光学和雷达两种数据分别作为模型输入进行LAI反演时,高斯过程回归(Gaussian process regression,GPR)的表现均为最优。随后,基于Sentinel-1雷达数据和Sentinel-2光学数据,使用GPR模型生成了研究区2019年的两种LAI及不确定性时空分布图。考虑不同数据反演结果的差异,使用加权滤波方法将两种LAI融合,实现了高时空分辨率玉米LAI制图。通过定性和定量分析,融合后的LAI时间序列分布图变化连贯,空间分布均匀,精度相较于融合之前有了明显改善。展开更多
Objective Tumors with accelerated growth or high malignancy are thought to undergo active angio- genesis. Whereas by far, there is few study concerning the combination of MIB-1 proliferation index (MIB-1 PI) and tumor...Objective Tumors with accelerated growth or high malignancy are thought to undergo active angio- genesis. Whereas by far, there is few study concerning the combination of MIB-1 proliferation index (MIB-1 PI) and tumor angiogenesis in carcinomas to show their significance in relate to clinicopathological parameters. In the present study, we evaluated the significance or MIB-1 PI and angiogenesis in early stage of gastric cancer. Our focus was es- pecially on the combination of MIB-1 PI and angiogenesis in relate to lymph node metastasis. Method Specimens from 95 patients with early gastric cancer were studied by means or immunohistochemistry using monoclonal MIB-1 and factor Ⅷ related antigen antibodies. Results The mean MIB-1 PI and microvessel count were 22.9% and 34.7, respectively. The MIB-1 PI did not correlate with microvessel count. Both correlated with depth of tumor invasion, lymphatic vessel invasion and lymph node metastasis. Multivarlate analysis showed that combined high MIB-1 PI/hy- pervascularity, as well as lymphatic vessel invasion and tumor size were independent factors that impact on lymph node metastasis. Conclusion A combination of the high MIB-1 PI/hypervascularity is a factor that related to lymph node metastasis in early gastric cancer.展开更多
文摘Objective:To explore and analyze the expression and clinical significance of vascular endothelial growth factor(VEGF),hypoxia-inducible factor 1α(HIF-1α),and metabolic indicators in esophageal squamous cell carcinoma(ESCC).Methods:Sixty ESCC patients admitted to the hospital from October 2021 to October 2023 were selected as the ESCC group.Sixty normal healthy patients from the same period were chosen as the control group.Their serum samples and tissue samples were collected.Metabolic indicators of all study subjects were obtained based on the basic biochemical results upon admission.RT-PCR was utilized to detect the expression of VEGF and HIF-1αin ESCC tissues.Results:The expression of VEGF and HIF-1αin the ESCC T3+T4 group was significantly higher than that of the carcinoma in situ(Tis)group,T1+T2 group,and control group.Furthermore,the expression of HIF-1αwas found to be related to the expression of VEGF,showing a significant correlation between the quantities.Significant differences in the levels of metabolic indicators were observed between the ESCC group and the control group(P<0.05).Conclusion:Metabolic indicators are associated with the onset of ESCC in patients.Abnormal lipid metabolism plays a crucial role in the occurrence and development of tumors.The expression of VEGF and HIF-1αin ESCC tissues significantly correlates with the tumor stage,providing a new reference for the diagnosis and treatment of ESCC.
文摘叶面积指数(leaf area index,LAI)是单位地表面积上总叶面积的一半,是影响光合作用、蒸腾作用和能量平衡等地表过程的关键生物物理变量。鉴于光学遥感数据易受天气的影响,雷达遥感数据易受土壤等的影响,二者在叶面积指数反演方面各有利弊,提出了一种考虑不同数据反演结果不确定性的融合方法。研究测试了多种机器学习模型在中国张掖地区的玉米农田上估算LAI的性能。结果表明,光学和雷达两种数据分别作为模型输入进行LAI反演时,高斯过程回归(Gaussian process regression,GPR)的表现均为最优。随后,基于Sentinel-1雷达数据和Sentinel-2光学数据,使用GPR模型生成了研究区2019年的两种LAI及不确定性时空分布图。考虑不同数据反演结果的差异,使用加权滤波方法将两种LAI融合,实现了高时空分辨率玉米LAI制图。通过定性和定量分析,融合后的LAI时间序列分布图变化连贯,空间分布均匀,精度相较于融合之前有了明显改善。
文摘Objective Tumors with accelerated growth or high malignancy are thought to undergo active angio- genesis. Whereas by far, there is few study concerning the combination of MIB-1 proliferation index (MIB-1 PI) and tumor angiogenesis in carcinomas to show their significance in relate to clinicopathological parameters. In the present study, we evaluated the significance or MIB-1 PI and angiogenesis in early stage of gastric cancer. Our focus was es- pecially on the combination of MIB-1 PI and angiogenesis in relate to lymph node metastasis. Method Specimens from 95 patients with early gastric cancer were studied by means or immunohistochemistry using monoclonal MIB-1 and factor Ⅷ related antigen antibodies. Results The mean MIB-1 PI and microvessel count were 22.9% and 34.7, respectively. The MIB-1 PI did not correlate with microvessel count. Both correlated with depth of tumor invasion, lymphatic vessel invasion and lymph node metastasis. Multivarlate analysis showed that combined high MIB-1 PI/hy- pervascularity, as well as lymphatic vessel invasion and tumor size were independent factors that impact on lymph node metastasis. Conclusion A combination of the high MIB-1 PI/hypervascularity is a factor that related to lymph node metastasis in early gastric cancer.
