1.The role of MAPK signaling pathway in development/progression and treatment of liver cancer
Wangjiu CIDAN ; Kun LIN ; Zaiming LU
Journal of Clinical Hepatology 2016;32(9):1810-1813
Abnormal activation of the mitogen-activated protein kinase (MAPK) signaling pathway is closely associated with the development, progression, and metastasis of liver cancer. This article introduces the expression of MAPK proteins in liver cancer and its role in the proliferation, differentiation, and metastasis of liver cancer, and elaborates on the value of the MAPK signaling pathway in the treatment and prognostic evaluation of liver cancer. It is pointed out that the MAPK signaling pathway plays an important role in the development/progression and treatment of liver cancer and is a potential molecular target for the treatment and prognostic evaluation of liver cancer.
2.Role of pyruvate kinase muscle isozyme 2 in pathogenesis and diagnosis of liver cancer
Wangjiu CIDAN ; Xiangxuan ZHAO ; Xiaoming WANG
Journal of Clinical Hepatology 2016;32(4):806-810
In recent years, studies have shown that the expression of pyruvate kinase muscle isozyme 2 (PKM2) is increased significantly in various tumor cells. PKM2 acts like a signal molecule in tumor cells and participates in the expression and regulation of genes related to tumor cell proliferation, cell autophagy, and cell cycle progression. This article summarizes the expression of PKM2 in liver cancer tissues and cell lines, elaborates on the role of PKM2 in the proliferation, differentiation, and metastasis of liver cancer cells and prognostic evaluation, and points out that PKM2 can be used in the clinical diagnosis, treatment, and prognostic evaluation of liver cancer.
3.Construction and Validation of A Deep Learning-based Bone Age Prediction Model for Children Living in Both Plain and Highland Regions
Qixing LIU ; Huogen WANG ; Wangjiu CIDAN ; Awang TUDAN ; Meijie YANG ; Qiongda PUQIONG ; Xiao YANG ; Hui PAN ; Fengdan WANG
Medical Journal of Peking Union Medical College Hospital 2024;15(6):1439-1446
To construct and validate a deep learning-based bone age prediction model for children living in both plain and highland regions. A model named "ethnicity vision gender-bone age net (EVG-BANet)" was trained using three datasets, including the Radiology Society of North America (RSNA) dataset [training set( EVG-BANet exhibited MAD of 0.34 and 0.52 years in RSNA and RHPE test sets, respectively. In the self-established test set, the model achieved MAD of 0.47 years (95% CI: 0.43-0.50) with accuracy within 1 year of 97.72% (95% CI: 95.56-99.01%). For the external test set, MAD was 0.53 years(95% CI: 0.48-0.58), with accuracy within 1 year of 89.45% (95% CI: 85.03-92.93). EVG-BANet demonstrated high accuracy in bone age prediction, and therefore can be applied in children living in both plain and highland.
4.Construction and Validation of A Deep Learning-based Bone Age Prediction Model for Children Living in Both Plain and Highland Regions
Qixing LIU ; Huogen WANG ; Wangjiu CIDAN ; Awang TUDAN ; Meijie YANG ; Qiongda PUQIONG ; Xiao YANG ; Hui PAN ; Fengdan WANG
Medical Journal of Peking Union Medical College Hospital 2024;15(6):1439-1446
To construct and validate a deep learning-based bone age prediction model for children living in both plain and highland regions. A model named "ethnicity vision gender-bone age net (EVG-BANet)" was trained using three datasets, including the Radiology Society of North America (RSNA) dataset [training set( EVG-BANet exhibited MAD of 0.34 and 0.52 years in RSNA and RHPE test sets, respectively. In the self-established test set, the model achieved MAD of 0.47 years (95% CI: 0.43-0.50) with accuracy within 1 year of 97.72% (95% CI: 95.56-99.01%). For the external test set, MAD was 0.53 years(95% CI: 0.48-0.58), with accuracy within 1 year of 89.45% (95% CI: 85.03-92.93). EVG-BANet demonstrated high accuracy in bone age prediction, and therefore can be applied in children living in both plain and highland.
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