1. Study of the association between polymorphism of persistent obesity, human leptin gene/leptin receptor gene and molecular subtypes of breast cancer
Xuelian YUAN ; Zhuping XU ; Chunrong LIU ; Lanping YAN ; Ping TAO ; Ping XIONG ; Qin LI ; Min ZHOU ; Hui LI ; Min ZHAO ; Jiayuan LI
Chinese Journal of Preventive Medicine 2017;51(6):533-538
Objectives:
To explore the association between the polymorphism of persistent obesity and genetic variations in the LEP (human leptin gene, LEP) and LEPR (leptin receptor gene, LEPR) genes and different molecular subtypes of breast cancer.
Methods:
All 703 female patients of breast cancer diagnosed by histopathology in the Sichuan Cancer Hospital or the West China Hospital, excluding patients with metastatic breast cancer or mental disease, were selected as cases from April 2014 to May 2015. At the same time, 805 healthy women received physical examination in medical examination center of Sichuan People Hospital or Shuangliu maternal and child health care hospital, excluding those with therioma, breast disease, and mental disease, were enrolled in control group. A uniform questionnaire was used to collect general information including demographic characteristic, reproductive history height, weight, and so on. And the obesity status in recent 10 years was judged. Time of Flight Mass Spectrometer was used to determine the genotypes of LEP rs7799039, LEPR rs1137100 and LEPR rs1137101, while the multinomial logistic regression analysis was conducted to estimate the effect of risk factors related to breast cancer in different molecular subtypes; and then, the association between polymorphism of persistent obesity, the LEP, LEPR genes and breast cancer of different molecular subtypes was analyzed by binary logistic regression models.
Results:
The average age of controls was (48.98±8.83) years old, while the age of cases of TNBC, Luminal A, Luminal B, and HER-2+ were (51.43±11.33), (49.94±10.10), (49.73±9.38), (50.50±9.04) years old, respectively. The frequency of genotype LEP rs7799039, LEPR rs1137100 and LEPR rs1137101 in control group was separately 74.8%(1 157/1 546), 83.6%(1 339/1 602) and 88.4%(1 416/1 602); while 77.6% (1 074/1 384), 82.4% (1 155/1 402) and 87.9% (1 232/1 402) respectively in case group. Compared with non-persistent obesity subjects, the persistent obesity ones showed an increased risk in TNBC (
2.Study on Antitumor Mechanism of Periplaneta americana Extract C Ⅱ-3 on MFC Tumor-bearing Mice Based on 1H-NMR Metabonomics
Ying LI ; Zhuping TAO ; Xu CHANG ; Hongli OU ; Lun JIANG ; Canwei LI ; Yanlong TANG ; Yue ZHOU ; Li BAI ; Pengfei GAO
China Pharmacy 2020;31(12):1446-1451
OBJECTIVE:To preliminarily study the antitumor mechanism of Periplaneta americana extract C Ⅱ-3 on MFC tumor-bearing mice. METHODS :Balb/c mice were randomly divided into model group (normal saline 20 mL/kg)and C Ⅱ-3 group (200 mg/kg),with 6 mice in each group. MFC cell suspension (0.2 mL)was injected under the right armpit of mice. On the next day,mice were given relevant medicine intragastrically ,once a day ,for consecutive 10 d. 24 h after the last administration ,Based on the measurement of tumor size , 1H-NMR technology combined with unsupervised PCA ,supervised PLS-DA and OPLS-DA were used to compare metabolic spectrum of liver tissue from tumor-bearing mice of 2 groups,to analyze differential metabolites and to explore the potential antitumor mechanis m of C Ⅱ -3. RESULTS :Compared with model group ,the tumor body was significantly reduced in tumor-bearing mice of C Ⅱ-3 group. There were differences in 1H-NMR spectra between the 2 No.81960712); groups. According to unsupervised PCA ,supervised PLS-DA and OPLS-DA ,totally six potential differential metabolites ,as glycogen (increased),pyruvate (decreased),arginine (de- creased),hydroxyproline (increased),inosine (increased) and niacinamide (increased),were identified in the liver tissue,which were mainly attributed to the metabolism of arginine ,energy and nucleic acid. CONCLUSIONS:The anti tumor effect of C Ⅱ-3 may be related to the regulation of arginine metabolism ,energy metabolism and nucleic acid metabolism.