1.Decoding the genetic and environmental forces in propelling the surge of early-onset colorectal cancer.
Jianhui ZHAO ; Haosen JI ; Kangning LI ; Guirong YU ; Siyun ZHOU ; Qian XIAO ; Malcolm DUNLOP ; Evropi THEODORATOU ; Xue LI ; Kefeng DING
Chinese Medical Journal 2025;138(10):1163-1174
Early-onset colorectal cancer (EOCRC) shows a different epidemiological trend compared to later-onset colorectal cancer, with its incidence rising in most regions and countries worldwide. However, the reasons behind this trend remain unclear. The etiology of EOCRC is complex and could involve both genetic and environmental factors. Apart from Lynch syndrome and Familial Adenomatous Polyposis, sporadic EOCRC exhibits a broad spectrum of pathogenic germline mutations, genetic polymorphisms, methylation changes, and chromosomal instability. Early-life exposures and environmental risk factors, including lifestyle and dietary risk factors, have been found to be associated with EOCRC risk. Meanwhile, specific chronic diseases, such as inflammatory bowel disease, diabetes, and metabolic syndrome, have been associated with EOCRC. Interactions between genetic and environmental risk factors in EOCRC have also been explored. Here we present findings from a narrative review of epidemiological studies on the assessment of early-life exposures, of EOCRC-specific environmental factors, and their interactions with susceptible loci. We also present results from EOCRC-specific genome-wide association studies that could be used to perform Mendelian randomization analyses to ascertain potential causal links between environmental factors and EOCRC.
Humans
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Colorectal Neoplasms/etiology*
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Risk Factors
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Genome-Wide Association Study
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Genetic Predisposition to Disease/genetics*
2.The value of CT signs combined with radiomics in the differentiation of COVID-19 from other viral pneumonias
Yilong HUANG ; Zhenguang ZHANG ; Xiang LI ; Yunhui YANG ; Zhipeng LI ; Jialong ZHOU ; Yuanming JIANG ; Jiyao MA ; Siyun LIU ; Bo HE
Chinese Journal of Radiology 2022;56(1):36-42
Objective:To explore the classification performance of combined model constructed from CT signs combined with radiomics for discriminating COVID-19 pneumonia and other viral pneumonia.Methods:The clinical and CT imaging data of 181 patients with viral pneumonia confirmed by reverse transcription-polymerase chain reaction in 15 hospitals of Yunnan Province from March 2015 to March 2020 were analyzed retrospectively. The 181 patients were divided into COVID-19 group (89 cases) and non-COVID-19 group (92 cases), which were further divided into training cohort (126 cases) and test cohort (55 cases) at a ratio of 7∶3 using random stratified sampling. The CT signs of pneumonia were determined and the radiomics features were extracted from the initial unenhanced chest CT images to build independent and combined models for predicting COVID-19 pneumonia. The diagnostic performance of the models were evaluated using receiver operating characteristic (ROC) analysis, continuous net reclassification index (NRI) calibration curve and decision curve analysis.Results:The combined models consisted of 3 significant CT signs and 14 selected radiomics features. For the radiomics model alone, the area under the ROC curve (AUC) were 0.904 (sensitivity was 85.5%, specificity was 84.4%, accuracy was 84.9%) in the training cohort and 0.866 (sensitivity was 77.8%, specificity was 78.6%, accuracy 78.2%) in the test cohort. After combining CT signs and radiomics features, AUC of the combined model for the training cohort was 0.956 (sensitivity was 91.9%, specificity was 85.9%, accuracy was 88.9%), while that for the test cohort was 0.943 (sensitivity was 88.9%, specificity was 85.7%, accuracy was 87.3%). The AUC values of the combined model and the radiomics model in the differentiation of COVID-19 group and the non-COVID-19 group were significantly different in the training cohort ( Z=-2.43, P=0.015), but difference had no statistical significance in the test cohort ( Z=-1.73, P=0.083), and further analysis using the NRI showed that the combined model in both the training cohort and the test cohort had a positive improvement ability compared with radiomics model alone (training cohort: continuous NRI 1.077, 95 %CI 0.783-1.370; test cohort: continuous NRI 1.421, 95 %CI 1.051-1.790). The calibration curve showed that the prediction probability of COVID-19 predicted by the combined model was in good agreement with the observed value in the training and test cohorts; the decision curve showed that a net benefit greater than 0.6 could be obtained when the threshold probability of the combined model was 0-0.75. Conclusion:The combination of CT signs and radiomics might be a potential method for distinguishing COVID-19 and other viral pneumonia with good performance.
3.Effects of metformin on the expression of estrogen synthetase and ER mRNA in uterine leiomyoma tissues
Siyun WANG ; Qing XUE ; Yingfang ZHOU ; Ling YIN
Chinese Journal of Obstetrics and Gynecology 2019;54(4):249-254
Objective To elucidate whether metformin could regulate the mRNA expression level of estrogen synthetase and ER in human uterine leiomyoma tissues. Methods (1) Seventeen pairs of uterine leiomyoma tissues and adjacent myometrium (>2 cm) were collected from patients underwent hysterectomy in Peking University First Hospital between December 2016 and January 2017. Real-time PCR was used to measure the mRNA expression level of estrogen synthetase [including cytochrome P450 cholesterol side chain cleavage enzyme (P450scc), cytochrome P450 17 α-hydroxylase (P450c17), 3-beta-hydroxysteroid dehydrogenase type 2 (3β-HSD-2), 17-beta-hydroxysteroid dehydrogenase type 1 (17β-HSD-1) and aromatase cytochrome P450 (P450arom)] and ER (including ERα and ERβ) in the uterine leiomyoma tissues and adjacent myometrium. (2) Uterine leiomyoma cells derived from uterine leiomyoma tissues were identified by immunocytochemistry method and cultured to the third generation. The treatment groups were cultured with different concentrations of metformin (10, 50 and 100 μmol/L) for 48 hours, and the control group was cultured with deionized water for 48 hours. The mRNA expression level of estrogen synthetase and estrogen receptor subtypes were measured by real-time PCR. Results (1) P450scc, P450c17, 3β-HSD-2, 17β-HSD-1, P450arom mRNA median expression levels were 112, 4, 13, 42 and 194 in the uterine leiomyoma tissues, and were respectively 114, 5, 11, 32 and 6 in the myometrium. Compared to those of the myometrium, 3β-HSD-2 and P450arom mRNA expression levels in the uterine leiomyoma tissue were significantly higher (P<0.05), while there were no significant change of mRNA expression levels among P450scc, P450c17 and 17β-HSD-1 (P>0.05). ERα and ERβ mRNA median expression levels were 208 and 116 in the uterine leiomyoma tissues, and were 24 and 95 in the myometrium. Compared to that of the myometrium, ERα mRNA level in the uterine leiomyoma tissue was significantly higher (P=0.001), while there were no significant change of ERβ mRNA level (P=0.193). (2) After cultured with different concentrations of metformin (10, 50 and 100 μmol/L), the P450arom mRNA levels in the uterine leiomyoma tissues were 9 ± 4, 8 ± 5 and 8 ± 3 respectively in the treatment groups and was 16 ± 5 in the control group. Compared to that of the control group, P450arom mRNA expression levels in the treatment groups were significantly declined (P<0.05). There were no significant different change of mRNA expression levels among 3β-HSD-2, ERα and ERβ between the treatment groups and the control group (P>0.05). Conclusions Metformin could down-regulate the mRNA expression level of aromatase in the uterine leiomyoma cells. These results indicate that metformin may inhibit the local estrogen synthesis and therefore suppress the development of uterine leiomyoma.
4.Surgical treatments for hepatolithiasis complicated with biliary cirrhosis and portal hypertension
Caixian LIAO ; Jie ZHOU ; Dinghua YANG ; Jianhua LIN ; Siyun ZHANG
Chinese Journal of Hepatic Surgery(Electronic Edition) 2015;(1):24-26
Objective To investigate surgical treatments for hepatolithiasis complicated with biliary cirrhosis and portal hypertension. Methods Clinical data of 31 patients with hepatolithiasis complicated with biliary cirrhosis and portal hypertension receiving surgical treatments in Nanfang Hospital, Southern Medical University from June 2004 to June 2013 were analyzed retrospectively. There were 21 males and 8 females with the mean age of (49±8) years old. The informed consents of all patients were obtained and local ethical committee approval had been received. The surgical treatments included one-stage cholangiolithotomy (n=26), two-stage cholangiolithotomy (n=5). The perioperative situation and the treatment efifcacy were observed. Results The median intraoperative blood loss was 537 (300-1 800) ml for the 26 cases undergoing one-stage cholangiolithotomy. Postoperative bleeding was observed in 2 cases. Pericardial fundus devascularization and transjugular intrahepatic portosystem shunt (TIPS) were performed emergently in the patients respectively and then the bleeding was ceased. The intraoperative blood loss was 350 (300-450) ml for the left 5 cases undergoing two-stage cholangiolithotomy. The liver function of the patients recovered well and no liver failure, hepatic encephalopathy were observed. The postoperative choledochoscope residual rate of calculus was 16%(5/31) and the ultrasound residual rate of calculus was 26% (8/31). Good efficacy was observed in 14 cases and fine in 17 cases. Conclusions The surgical operation for hepatolithiasis complicated with biliary cirrhosis and portal hypertension is with high dififculty and risk. It is necessary to design personalized surgical plan and to perform multiple surgical procedures.

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