1.Expression and clinical significance of ELOVL6 gene in high-grade serous ovarian carcinoma
Fujuan LI ; Hongying WANG ; Xiaoli FENG ; Pingping LI ; Tong SHU ; Xinhua ZHAO ; Bin LI
Chinese Journal of Obstetrics and Gynecology 2016;51(3):192-197
Objective To investigate the expression of elongation of very long-chain fatty acids family member 6 (ELOVL6) in high-grade serous ovarian carcinoma (HSOC), and explore the correlation between its expression and clinical prognosis in these patients. Methods The expression of ELOVL6 at mRNA and protein levels were respectively detected by reverse transcription (RT)-PCR and immune histochemistry method in 12 cases with normal ovarian tissues and 172 cases with HSOC from primary tumor site, forty of which had paired peritoneal metastatic tissues. Results (1) The results tested by RT-PCR showed that ELOVL6 expression in normal ovarian tissue was 4.8±1.1, while 1.2±0.7 in primary tumors and 1.8 ± 0.9 peritoneal metastatic sites in HSOC. Compared with normal ovarian tissue, the level of ELOVL6 mRNA was significantly lower in HSOC (P<0.05). There was no significant difference between primary and peritoneal metastatic sites in HSOC (P=0.610). It was shown that ELOVL6 protein localized in cytoplasm of ovarian cancer cell by immunostaining assay. (2) ELOVL6 expression was observed in all normal ovarian tissue, 70.2%of G1-G2 and 48.8%of G3 HSOC (P<0.05). ELOVL6 expression in drug-resistant group were significantly lower than that in non-resistant group (39.1% vs 65.0%, P<0.01). The median disease-free survival was 41 months in the ELOVL6-positive group and 39 months in ELOVL6-negative group (P>0.05). The total median survival was 52 months in ELOVL6-positive group and 44 months in ELOVL6-negative group (P>0.05). Conclusion Low expression of ELOVL6 may correlate with the poor differentiation and drug resistance in HSOC.
2. Artificial Intelligence ⁃ based Colorectal Polyp Diagnostic System Can Increase the Detection Rate of Polyps: A Prospective Randomized Controlled Study
Limei WANG ; Huang FENG ; Weichang CHEN ; Fujuan LUAN
Chinese Journal of Gastroenterology 2022;27(3):163-167
Colonoscopy with polypectomy significantly reduces the incidence of colorectal cancer and cancer - related mortality. However, a pooled miss rate of 22% for polyps was documented. Aims: To explore the clinical application value of an artificial intelligence (AI)-based colorectal polyp diagnostic system for polyp detection. Methods: A total of 400 patients who underwent colonoscopy in the First Affiliated Hospital of Soochow University from September to November 2021 were selected according to the inclusion and exclusion criteria and were randomly divided into two groups: one group received routine colonoscopy, and the other group received AI system assisted colonoscopy. There were 200 cases in each group. The Boston Bowel Preparation Scale (BBPS) was used to evaluate bowel preparation quality. The primary outcome was polyp detection rate (PDR), and the secondary outcome was polyps per colonoscopy (PPC). Results: AI system significantly increased PDR and PPC (37.0% vs. 23.0%, 0.775 vs. 0.495, all P<0.05), especially for diminutive and small polyps (diminutive polyps: 23.0% vs. 13.0%, 0.410 vs. 0.295; small polyps: 16.0% vs. 8.0%, 0.255 vs. 0.095; all P<0.05). No significant difference in large polyp detection was observed between the two groups (all P>0.05). The bowel preparation quality was classified as“poor”(BBPS 0-5 points),“qualified”(BBPS 6-7 points) and“excellent”(BBPS 8-9 points). There were no significant differences in polyp detection between the two groups when the bowel preparation quality was“poor”or “excellent”(all P>0.05). PDR and PPC were significantly increased in AI group when the bowel preparation quality was “qualified”(33.0% vs. 20.0%, 0.670 vs. 0.450, all P<0.05). Conclusions: AI-based colorectal polyp diagnostic system can significantly improve PDR and PPC because of the significant increase in the number of diminutive and small polyps detected. In addition, when the bowel preparation is qualified, the AI system can play better for polyp detection.
3.Research progress on prevention and treatment of Helicobacter pylori neutrophil-activating protein related diseases
Fujuan FENG ; Jingjing JIANG ; Chun GAO ; Huijuan SHAO ; Xiaohui YU ; Xiaofeng ZHENG ; Jiucong ZHANG
Journal of Clinical Medicine in Practice 2024;28(1):129-132,144
Helicobacter pylori(H.pylori)neutrophil-activating protein(HP-NAP)is one of the newly discovered main virulence factors of H.pylori,and is expressed in almost all strains of H.pylori.After being activated,HP-NAP can participate in the development of inflammation and tissue damage by stimulating neutrophils,monocytes,dendritic cells,mast cells and lymphocytes.This paper re-viewed the latest research progress of HP-NAP in the prevention and treatment of related diseases.
4.Research progress on prevention and treatment of Helicobacter pylori neutrophil-activating protein related diseases
Fujuan FENG ; Jingjing JIANG ; Chun GAO ; Huijuan SHAO ; Xiaohui YU ; Xiaofeng ZHENG ; Jiucong ZHANG
Journal of Clinical Medicine in Practice 2024;28(1):129-132,144
Helicobacter pylori(H.pylori)neutrophil-activating protein(HP-NAP)is one of the newly discovered main virulence factors of H.pylori,and is expressed in almost all strains of H.pylori.After being activated,HP-NAP can participate in the development of inflammation and tissue damage by stimulating neutrophils,monocytes,dendritic cells,mast cells and lymphocytes.This paper re-viewed the latest research progress of HP-NAP in the prevention and treatment of related diseases.