1.Treatment of Colorectal Cancer with Traditional Chinese Medicine Based on Hippo Signaling Pathway: A Review
Shuo ZENG ; Suqin HU ; Yang HU ; Lei LUO ; Mingyan LI ; Qinsheng ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):297-305
Colorectal cancer, a leading malignant gastrointestinal tumor globally in terms of incidence and mortality, has seen a consistent annual rise in newly diagnosed cases. While conventional therapies like radiotherapy, chemotherapy, and surgery are available, problems such as lack of early diagnosis, poor prognosis, and drug resistance remain significant burdens for patients. Given the complex and diverse pathogenesis of colorectal cancer, there is an urgent clinical need for safe, effective, reliable, and multi-targeted therapeutic strategies. The Hippo signaling pathway, closely linked to mechanisms like tumorigenesis, cancer cell invasion, migration, and drug resistance, extensively participates in the occurrence and development of colorectal cancer, so targeting the signaling pathway for cancer prevention and treatment has become a crucial research direction in recent years. Traditional Chinese medicine (TCM) offers multi-faceted, multi-pathway, and multi-target advantages and becomes an important therapy for colorectal cancer by enhancing patients' immunity, improving the life quality, and prolonging survival. Studies show that the active components of TCM, including flavonoids, terpenoids, phenols, alkaloids, quinones, lignans, and saponins, as well as TCM compounds such as modified Sijunzi decoction, Jiedu Sangen decoction, Jianpi Jiedu compound, and Quyu Jiedu decoction, exhibit significant targeting effects on the Hippo signaling pathway. These TCMs can exert an anti-colorectal cancer effect through various mechanisms, such as inducing cancer cell autophagy and apoptosis, inhibiting epithelial-mesenchymal transition, reversing drug resistance of the tumor, and blocking the cancer cell cycle. This paper reviewed and analyzed Chinese and international research on the action mechanisms of TCM in regulating the Hippo signaling pathway for the prevention and treatment of colorectal cancer with a comprehensive overview presentation, aiming to provide new references and ideas for the clinical application of TCM and the development of new pharmacological agents in the prevention and treatment of colorectal cancer.
2.Treatment of Colorectal Cancer with Traditional Chinese Medicine Based on Hippo Signaling Pathway: A Review
Shuo ZENG ; Suqin HU ; Yang HU ; Lei LUO ; Mingyan LI ; Qinsheng ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):297-305
Colorectal cancer, a leading malignant gastrointestinal tumor globally in terms of incidence and mortality, has seen a consistent annual rise in newly diagnosed cases. While conventional therapies like radiotherapy, chemotherapy, and surgery are available, problems such as lack of early diagnosis, poor prognosis, and drug resistance remain significant burdens for patients. Given the complex and diverse pathogenesis of colorectal cancer, there is an urgent clinical need for safe, effective, reliable, and multi-targeted therapeutic strategies. The Hippo signaling pathway, closely linked to mechanisms like tumorigenesis, cancer cell invasion, migration, and drug resistance, extensively participates in the occurrence and development of colorectal cancer, so targeting the signaling pathway for cancer prevention and treatment has become a crucial research direction in recent years. Traditional Chinese medicine (TCM) offers multi-faceted, multi-pathway, and multi-target advantages and becomes an important therapy for colorectal cancer by enhancing patients' immunity, improving the life quality, and prolonging survival. Studies show that the active components of TCM, including flavonoids, terpenoids, phenols, alkaloids, quinones, lignans, and saponins, as well as TCM compounds such as modified Sijunzi decoction, Jiedu Sangen decoction, Jianpi Jiedu compound, and Quyu Jiedu decoction, exhibit significant targeting effects on the Hippo signaling pathway. These TCMs can exert an anti-colorectal cancer effect through various mechanisms, such as inducing cancer cell autophagy and apoptosis, inhibiting epithelial-mesenchymal transition, reversing drug resistance of the tumor, and blocking the cancer cell cycle. This paper reviewed and analyzed Chinese and international research on the action mechanisms of TCM in regulating the Hippo signaling pathway for the prevention and treatment of colorectal cancer with a comprehensive overview presentation, aiming to provide new references and ideas for the clinical application of TCM and the development of new pharmacological agents in the prevention and treatment of colorectal cancer.
3.Mechanism traditional Chinese medicine extract preventing and treating hepatocellular carcinoma by targeting the adenosine monophosphate-activated protein kinase signaling pathway
Shuo ZENG ; Suqin HU ; Yang HU ; Lei LUO ; Mingyan LI ; Qinsheng ZHANG
Journal of Clinical Hepatology 2025;41(10):2161-2167
Hepatocellular carcinoma (HCC) is one of the most common malignant tumors with high incidence and mortality rates worldwide, which brings a huge burden to the physical and mental health and socio-economic life of patients. The adenosine monophosphate-activated protein kinase (AMPK) signaling pathway serves as the regulatory center of cellular energy metabolism and is closely associated with the biological activities of HCC cells, including autophagy, apoptosis, and angiogenesis, and it has become a hot topic in current cancer research. Traditional Chinese medicine drugs are abundant in natural components such as flavonoids, alkaloids, and phenols and have the characteristics of multiple targets, pathways, components, and hierarchies. By targeting the AMPK signaling pathway, these components can be used alone or in combination with conventional antitumor therapies to exert an anti-tumor effect on HCC from various aspects. This article reviews and summarizes the extracts of traditional Chinese medicine that target the AMPK signaling pathway for the prevention and treatment of HCC, in order to provide a theoretical basis and a reference for the clinical application of traditional Chinese medicine in the treatment of HCC and the development of related drugs.
4.Research progress in clinical and mechanism of Chinese materia medica in the treatment of gastroesophageal reflux disease
Shuo ZENG ; Suqin HU ; Yang HU ; Lei LUO ; Mingyan LI ; Qinsheng ZHANG
International Journal of Traditional Chinese Medicine 2025;47(10):1479-1483
According to TCM, the main pathogenesis of gastroesophageal reflux disease (GERD) is stomach disharmony and descending, and stomach qi ascending. Phlegm dampness and blood stasis are also important pathological factors of this disease. TCM treatment for GERD mainly starts from the liver, spleen and stomach. The basic treatment is to harmonize the stomach and lower the adverse, and to soothe the liver and relieve depression, invigorate the spleen and resolve dampness, promote qi and blood circulation, and clear heat and inhibit acid. Clinical treatment of GERD is mostly in the form of TCM compounds, often combined with Western medicine, which can improve symptoms, reduce recurrence rate and reduce adverse reactions. The mechanism is to inhibit gastric acid secretion, enhance lower esophageal sphincter pressure, promote gastrointestinal motility, inhibit inflammation, regulate esophageal visceral sensitivity and regulate intestinal flora.
5.Tracking and evaluation of the application of the standard of "Delimitation and Classification of Keshan Disease Areas" (GB 17020-2010)
Faqing CHEN ; Ping LI ; Suqin YU ; Yanling WANG ; Li ZHANG ; Aiwei HE ; Pengyue HU ; Ping WANG ; Xiaoyan CHEN
Chinese Journal of Endemiology 2024;43(6):492-497
Objective:To evaluate the application of the standard of "Delimitation and Classification of Keshan Disease Areas" (GB 17020-2010, Standard for short), learn about the applicability of its technical indicators and requirements, and provide a basis for revision of the Standard.Methods:In March 2022, provinces with severe epidemic areas of Keshan disease or new cases reported in recent years were selected, including Gansu Province, Inner Mongolia Autonomous Region, Shandong Province, Shaanxi Province, Yunnan Province, Shanxi Province, Liaoning Province, and Chongqing City. Multi-stage stratified sampling method and questionnaire survey were adopted to collect information on the application of Standard by relevant health institutions.Results:A total of 448 questionnaires were collected, including 445 valid. The survey results showed that 87.64% (390/445) of the respondents were aware of the Standard, and 64.72% (288/445) had received training on the Standard. Eighty-two point two per cent (365/445) of the respondents believed that the Standard was simple and easy to operate, 83.82% (373/445) believed that the determination of the diseased townships was scientific and reasonable, and could be effectively implemented, and 83.60% (372/445) believed that the determination of historical epidemic areas was applicable to the current situation of Keshan disease; 38.88% (173/445), 38.20% (170/445), and 37.98% (169/445) of the respondents believed that the classification indicators for classifying epidemic areas (severe, moderate, and mild epidemic areas) were not applicable to the current situation of the disease in the local or provinces with Keshan disease, respectively. Among the indicators for epidemic areas classification, 30.79% (137/445), 29.21% (130/445), and 28.54% (127/445) of the respondents thought that the annual prevalence, the annual number of new cases and the annual incidence were most suitable for classification of Keshan disease areas.Conclusions:The Standard has been applied well in practice. However, based on the current situation of Keshan disease, it is suggested to redefine the standard for the severity of the disease and the classification of historical epidemic areas.
6.Anesthesia management of living small bowel transplantation
Yueying ZHENG ; Xuexue HU ; Shaohui GUO ; Shanshan XU ; Suqin HUANG ; Shengmei ZHU
Chinese Journal of Anesthesiology 2021;41(7):827-830
Objective:To summarize the anesthesia management of living small bowel transplantation.Methods:Severn patients undergoing living and allogeneic small bowel transplantation for the first time were selected.The intraoperative hemodynamics, indexes of blood gas analysis, body temperature and blood transfusion and volume of liquid infused were analyzed.Postoperative outcomes were tracked.Results:Six cases survived and were successfully discharged from hospital successfully, and one patient died.In the operation room, 71% patients were successfully extubated after surgery.Compared with the values during anatomical separation period, Hb during vascular anastomosis and intestinal reconstruction periods and concentration of Ca 2+ during intestinal reconstruction period were significantly decreased, and the blood glucose concentration during vascular anastomosis period were increased ( P<0.05 or 0.01). Compared with the values during vascular anastomosis period, the blood glucose concentration was increased significantly during intestinal reconstruction period ( P<0.05). Crystalloid solution (57±30) ml/kg and colloid solution which mainly containing 20% albumin (15±13) ml/kg were infused mainly during anatomical separation and vascular anastomosis periods in all the patients. Conclusion:The condition of successful living small bowel transplantation is fully evaluation and preparation before surgery.Intravenous-inhalational anesthesia combined with transverses abdominis plane block and rational infusion of colloid solution with vasoactive drugs to maintain hemodynamics stability and monitor blood gas, body temperature, active adjustment of electrolytes and internal environment and stable body temperature can be helpful in maintaining perioperative stable vital signs during the perioperative period, removing the tracheal tube early at the end of surgery, and reducing the development of postoperative complications in patients undergoing living small bowel transplantation.
7.Establishment of human colon cancer transplantation tumor model in normal immune mice
Shumin CHENG ; Jianling LIU ; Tong CHEN ; Yanzhen BI ; Kunyan LIU ; Quanyi WANG ; Huixin TANG ; Yonghong YANG ; Xiaobei ZHANG ; Ruirui HU ; Suqin LIU ; Kai ZHANG ; Lingbin KONG ; Daolu GUO ; Zhenfeng SHU ; Feng HONG
Chinese Journal of Oncology 2021;43(9):939-943
Objective:Establishment of a new model of human primary colon cancer transplantation tumor in normal immune mice and to provide a reliable experimental animal model for studying the pathogenesis of colon cancer under normal immunity.Methods:Human colon cancer cells come from colon cancer patients who underwent surgery in the Affiliated Hospital of Jining Medical College in 2017. The mice in the cell control group were inoculated with phosphate buffered solution (PBS) containing colon cancer cells, the microcarrier control group was inoculated with PBS containing microcarrier 6, and the cell-microcarrier complex group was inoculated with the PBS containing colon cancer cell-microcarrier complex. The cells of each group were inoculated under the skin of the right axilla of mice by subcutaneous injection, and the time, size, tumor formation rate and pathological changes under microscope were recorded. The transplanted tumor tissue was immunohistochemically stained with the EnVisiion two-step method, and the tumor formation rate of the transplanted tumor was judged according to the proportion of positive cells in the visual field. The polymerase chain reaction (PCR) method was used to detect the expression of human-specific Alu sequence in mice tumor tissue.Results:After inoculation with tumor cells, the mice in the cell control group and the microcarrier control group did not die and did not form tumors; the mice in the cell-microcarrier complex group had palpable subcutaneous tumors in the right axillary subcutaneously on the 5th to 7th days after inoculation, and tumor formation rate is 67% (10/15), and the tumor volume can reach about 500 mm 3 2 to 3 weeks after vaccination. The immunohistochemistry results showed that CK20, CDX-2 and carcinoembryonic antigen were all positively expressed. The PCR results showed that the expression of human-specific Alu sequence can be detected in the transplanted tumor tissue of tumor-bearing mice. Conclusion:Human primary colon cancer cells used microcarrier 6 as a carrier to form tumors in normal immunized mice, and successfully established a new model of human colon cancer transplantation tumor in normal immune mice.
8.Establishment of human colon cancer transplantation tumor model in normal immune mice
Shumin CHENG ; Jianling LIU ; Tong CHEN ; Yanzhen BI ; Kunyan LIU ; Quanyi WANG ; Huixin TANG ; Yonghong YANG ; Xiaobei ZHANG ; Ruirui HU ; Suqin LIU ; Kai ZHANG ; Lingbin KONG ; Daolu GUO ; Zhenfeng SHU ; Feng HONG
Chinese Journal of Oncology 2021;43(9):939-943
Objective:Establishment of a new model of human primary colon cancer transplantation tumor in normal immune mice and to provide a reliable experimental animal model for studying the pathogenesis of colon cancer under normal immunity.Methods:Human colon cancer cells come from colon cancer patients who underwent surgery in the Affiliated Hospital of Jining Medical College in 2017. The mice in the cell control group were inoculated with phosphate buffered solution (PBS) containing colon cancer cells, the microcarrier control group was inoculated with PBS containing microcarrier 6, and the cell-microcarrier complex group was inoculated with the PBS containing colon cancer cell-microcarrier complex. The cells of each group were inoculated under the skin of the right axilla of mice by subcutaneous injection, and the time, size, tumor formation rate and pathological changes under microscope were recorded. The transplanted tumor tissue was immunohistochemically stained with the EnVisiion two-step method, and the tumor formation rate of the transplanted tumor was judged according to the proportion of positive cells in the visual field. The polymerase chain reaction (PCR) method was used to detect the expression of human-specific Alu sequence in mice tumor tissue.Results:After inoculation with tumor cells, the mice in the cell control group and the microcarrier control group did not die and did not form tumors; the mice in the cell-microcarrier complex group had palpable subcutaneous tumors in the right axillary subcutaneously on the 5th to 7th days after inoculation, and tumor formation rate is 67% (10/15), and the tumor volume can reach about 500 mm 3 2 to 3 weeks after vaccination. The immunohistochemistry results showed that CK20, CDX-2 and carcinoembryonic antigen were all positively expressed. The PCR results showed that the expression of human-specific Alu sequence can be detected in the transplanted tumor tissue of tumor-bearing mice. Conclusion:Human primary colon cancer cells used microcarrier 6 as a carrier to form tumors in normal immunized mice, and successfully established a new model of human colon cancer transplantation tumor in normal immune mice.
9.Application of artificial intelligence in real-time monitoring of withdrawal speed of colonoscopy
Xiaoyun ZHU ; Lianlian WU ; Suqin LI ; Xia LI ; Jun ZHANG ; Shan HU ; Yiyun CHEN ; Honggang YU
Chinese Journal of Digestive Endoscopy 2020;37(2):125-130
Objective:To construct a real-time monitoring system based on computer vision for monitoring withdrawal speed of colonoscopy and to validate its feasibility and performance.Methods:A total of 35 938 images and 63 videos of colonoscopy were collected in endoscopic database of Renmin Hospital of Wuhan University from May to October 2018. The images were divided into two datasets, one dataset included in vitro, in vivo and unqualified colonoscopy images, and another dataset included ileocecal and non-cecal area images. And then 3 594 and 2 000 images were selected respectively from the two datasets for testing the deep learning model, and the remaining images were used to train the model. Three colonoscopy videos were selected to evaluate the feasibility of real-time monitoring system, and 60 colonoscopy videos were used to evaluate its performance.Results:The accuracy rate of the deep learning model for classification for in vitro, in vivo, and unqualified colonoscopy images was 90.79% (897/988), 99.92% (1 300/1 301), and 99.08% (1 293/1 305), respectively, and the overall accuracy rate was 97.11% (3 490/3 594). The accuracy rate of identifying ileocecal and non-cecal area was 96.70% (967/1 000) and 94.90% (949/1 000), respectively, and the overall accuracy rate was 95.80% (1 916/2 000). In terms of feasibility evaluation, 3 colonoscopy videos data showed a linear relationship between the retraction speed and the image processing interval, which indicated that the real-time monitoring system automatically monitored the retraction speed during the colonoscopy withdrawal process. In terms of performance evaluation, the real-time monitoring system correctly predicted entry time and withdrawal time of all 60 examinations, and the results showed that the withdrawal speed and withdrawal time was significantly negative-related ( R=-0.661, P<0.001). The 95% confidence interval of withdrawal speed for the colonoscopy with withdrawal time of less than 5 min, 5-6 min, and more than 6 min was 43.90-49.74, 40.19-45.43, and 34.89-39.11 respectively. Therefore, 39.11 was set as the safe withdrawal speed and 45.43 as the alarm withdrawal speed. Conclusion:The real-time monitoring system we constructed can be used to monitor real-time withdrawal speed of colonoscopy and improve the quality of endoscopy.
10.A detection model of colorectal polyps based on YOLO and ResNet deep convolutional neural networks (with video)
Suqin LI ; Lianlian WU ; Dexin GONG ; Shan HU ; Yiyun CHEN ; Xiaoyun ZHU ; Xia LI ; Honggang YU
Chinese Journal of Digestive Endoscopy 2020;37(8):584-590
Objective:To establish a deep convolutional neural network (DCNN) model based on YOLO and ResNet algorithm for automatic detection of colorectal polyps and to test its function.Methods:Colonoscopy images and videos collected from the database of Digestive Endoscopy Center of Renmin Hospital of Wuhan University from January 2018 to March 2019 were divided into three databases (database 1, 3, 4). The public database CVC-ClinicDB (composed of 612 polyp images extracted from 29 colonoscopy videos provided by Barcelona Hospital, Spain) was used as the database 2. Database 1 (4 700 colonoscopy images from January 2018 to November 2018, including 3 700 intestinal polyp images and 1 000 non-polyp images) was used for establishing training and verifying the DCNN model. Database 2 (CVC-ClinicDB) and database 3 (720 colonoscopy images from January 2019 to March 2019, including 320 intestinal polyp images and 400 non-polyp images) were used for testing the DCNN model on image detection. Database 4 (15 colonoscopy videos in December 2019, containing 33 polyps) was used for testing the DCNN model on video detection. The sensitivity, specificity, accuracy and false positive rate of the DCNN model for detecting intestinal polyps were calculated.Results:The sensitivity of the DCNN model for detecting intestinal polyps in database 2 was 93.19% (602/646). In database 3, the DCNN model showed the accuracy of 95.00% (684/720), sensitivity of 98.13% (314/320), specificity of 92.50% (370/400), and false positive rate of 7.50% (30/400) for detecting intestinal polyps. In database 4, the DCNN model achieved a per-polyp-sensitivity of 100.00% (33/33), a per-image-accuracy of 96.29% (133 840/138 998), a per-image-sensitivity of 90.24% (4 066/4 506), a per-image-specificity of 96.49% (129 774/134 492), and a per-image-false positive rate of 3.51% (4 718/134 492).Conclusion:The DCNN model constructed in the study has a high sensitivity and specificity for automatic detection of colorectal polyps both in the colonoscopy images and videos, has a low false positive rate in the videos, and has the potential to assist endoscopists in diagnosis of colorectal polyps.

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