1.The main effect and interaction between haplotypes of CIDEB and CIDEC to obesity
Zhiguang PING ; Li LIU ; Fangfang ZHAN ; Minjie QI ; Xiaoping LE
Chinese Journal of Endocrinology and Metabolism 2015;(6):518-521
[Summary] A selection of 528 unrelated subjects were enrolled(198 males, 330 females) with the mean age of(52. 23 ± 13. 41) years old. According to body mass index, 253 persons belonged to the normal weight group and 275 persons overweight/ obesity group. A total of 10 SNPs in CIDEB and CIDEC genes were detected. SHEsis online were used to get the haplotypes of these two genes. The relationship between above SNPs and obesity were analyzed under additive inheritance pattern. The main effects and interaction on obesity induced by two genes’ haplotypes were analyzed by logistic regression. rs2144493 in CIDEB gene was associated with obesity, C was a protective alleles, OR (95% CI) equals 0. 722(0. 525-0. 992). CCTT haplotype of CIDEB gene carriers and GCG haplotype of CIDEC gene carriers were more prone to obesity or overweight, there was an interaction between the haplotypes of 2 genes. CIDEB, CIDEC haplotypes may play independent and interactive roles in causing obesity.
2.The clinical value of tissue polypeptide specific antigen,neuron-specific enolase,carcinoembryonic antigen and CA125 level in small cell lung cancer
Xuexiang LI ; Shanliang ZHOU ; Minjie WANG ; Binbin HAN ; Jun QI
Chinese Journal of Laboratory Medicine 2008;31(9):1011-1015
Objective To investigate the clinical value of tissue polypeptide specific antigen(TPS),neuron-specific enolase(NSE),carcinoembryonie antigen(CEA)and CA125 in serum of small cell lung cancer(SCLC)patients and its significance in diagnosis and disease monitoring.Methods Serum leveh of TPS was detected using ELISA and serum levels of NSE,CA125 and CEA was detected using ECLin 27 1 SCLC patients.80 pulmonary benign disease patients and 224 normal healthy people.Diagnostic values of these tumor markers were analyzed by receiver operative characteristic(ROC)curve.Results The levels of TPS,NSE,CA125 and CEA iu the serum of SCLC group were signifieanfly higher than those in pulmonary benign disease and healthy group(Z>1.90,P<0.01).The levels of TPS and NSE in the serum of extensive stage small cell lung cancer(ESCLC)patients were significantly higher than those in limited stage small cell lung cancer(LSCLC)(Z=2.69,2.27,P=0.009,0.02 respectively).,The level of TPS and NSE showed statistical significance among SCLC patients with different prognosis after therapy(Z=4.06,3.11.P=0.001,0.007 respectively).The TPS+NSE showed the highest sensitivity of 86.7%,and the specificity,PPV and NPV were 75.0%,81.0% and 82.2%,respectively.Conclusions Serum levels of TPS,NSE,CA125 and CEA are useful for SCLC diagnosis.TPS+NSE shows the highest clinical values in SCLC diagnosis and prognosis.
3.Application of serum levels of pro-gastrin releasing peptide, tissue polypeptide specific antigen and neuron specific enolase in therapy monitoring in small cell lung cancer patients
Minjie WANG ; Xuexiang LI ; Jia GAO ; Binbin HAN ; Chao FU ; Jingzhi WANG ; Chun ZHANG ; Jun QI
Chinese Journal of Laboratory Medicine 2011;34(2):152-157
Objective To evaluate the clinical significance of serum levels of ProGRP, TPS and NSE in diagnosis and therapy monitoring in small cell lung cancer patients. Methods The levels of serum ProGRP, TPS and NSE in 51 SCLC patients (SCLC group), 60 benign pulmonary disease patients (benign disease group ) and 60 healthy people (healthy group ) were determined using chemiluminescent immunoassay, ELISA and electrochemiluminescent immunoassay respectively. Blood samples were collected and detected prior to therapy, before the second course of chemotherapy and the third course of chemotherapy consecutively in all the 51 SCLC patients. Results The serum ProGRP, TPS and NSE concentrations prior to chemotherapy in limited stage SCLC (LSCLC) were 136. 9(22.8-631.7)ng/L, 78. 2(56.4-114.6) U/L and 28.1(20.9-46.1)μg/L, respectively; And in extensive stage SCLC patients (ESCLC) were 1 106.6(41.2-2161.1) ng/L, 230. 9( 143.5-259.0) U/L and 81.1 (34.3-140.0)μg/L, respectively. The serum concentrations of the 3 markers in benign disease group were 19. 7 ( 9. 5-29. 1 )ng/L, 48. 7 ( 17.9-95.4) U/L and 12. 1(1.2-13.9) μg/L; and in healthy group were 20.3(10.7-30.6) ng/L, 50.3(19.5-70.7) U/L and 11.7 (1.1-13.4)μg/L, respectively. The Kruskal-Wallis test showed significantly statistical difference in different groups of the 3 tumor markers, Chi-Square were 51. 368,36. 532 and 81. 645( P <0. 01 ). Significant statistically differences showed when the concentrations of the 3 marks of the 2 control group were compared with that of the LSCLC group ( U =491, 827, 609 and 476, 831, 585,respectively, P < 0. 05 ). Differences were also statistically significant when the 2 control group compared with that of the ESCLC group ( U = 314,532,456 and 302,553,430, respectively, P < 0. 01 ). The AUC of ProGRP was 0.832 +0.029(95% CI:0.774-0.890). When cutoff value of ProGRP set as 37.7 ng/L, the diagnostic sensitivity, specificity, positive predictive value, negative predictive value and Youden's index were 71% (36/51), 97% (116/120), 90% (36/40), 89% ( 116/131 ) and 67%, respectively; show good detection performance. The sensitivity increased to 92%, 86%, 92% and 88%, when combination detection of ProGRP + TPS + NSE, ProGRP + TPS, ProGRP + NSE and TPS + NSE were used, and the specificities were 77%, 77% , 92% and 77% accordingly. The Fridman test showed significantly statistical difference in the 3 tumor markers at different stages of treatment, x2 were 49. 120, 10. 614 and 44. 392, P <0. 01. After the first chemotherapy course, all the tumor marker levels except TPS decreased significantly in comparison with the pretreatment concentrations. However, only ProGRP levels showed a progressive drop during the two consecutive courses of therapy, and the median concentrations were 68.0 ( 18. 6-158.4 ) and 21.0( 14. 9-63.5) ng/L (compared to the level before therapy,Z=-4. 889 and -5. 594, P <0. 01 ). The median of serum TPS increased slightly to 105.2 (54. 1-181.2 ) U/L after the first chemotherapy course (Z=-1.248, P>0.05), and decreased significantly to 79.0(48.7-155.3) U/L after the second chemotherapy course (Z=-2.484, P<0. 05 ). As to the NSE, the median concentration decreased to 11.8(8.0-16.0)μg/L after the first chemotherapy course ( Z= - 5. 568, P < 0. 01 ). However, the median was 10. 6(9.0-12.7)μg/L, which showed no significant decrease after the second chemotherapy course (Z=-1.851, P>0.05).Forty-six SCLC patients evaluated as clinical remission ( 3 CR and 43 PR) after the second chemotherapy course, among them there were 38 patients (83%) with normal serum ProGRP, TPS and NSE level ( 19 patients) or with only 1 abnormal tumor level ( 19 patients). There were only 2 patients with all abnormal serum ProGRP, TPS and NSE level, and both patients were evaluated as clinical PD. Two patients with 2 abnormal tumors results were classified as SD, the only 1 patient without therapy evaluation also had 2 abnormal tumor marker results. Conclusions The serum ProGRP, TPS and NSE are valuable tumor markers for diagnosis and treat monitoring of SCLC, particularly the ProGRP + NSE shows the highest clinical value. Combing detection of the 3 tumor markers are valuable for therapy monitoring and prognosis in SCLC patients.
4.The exploration of characteristics of cancer incidence in cancer surveillance areas by correspondence analysis and cluster analysis
Panpan SUN ; Li LIU ; Zhiguang PING ; Minjie QI ; Yanzi CHEN ; Ming LU ; Xiaoli FU
China Oncology 2016;26(6):499-507
Background and purpose:Cancer is a major public health issue in China and worldwide, which se-riously threatens human beings as well as social and economic development. This study explored the relationships between the cancer distribution characteristics and cancer prevalences in Chinese cancer surveillance regions to provide scientific evidence for cancer prevention and management.Methods:The data were obtained from the book named“Prevalence and Mortality of Cancer in China from 2003-2007” including incidence of 23 cancer types in 32 regions of China published by the Academy of Military Medical Sciences of the Chinese PLA in 2012. Correspondence analysis was used to gain the relation between the prevalence and area distribution. Cluster analysis was used to obtain the classifications with special significance by putting the cancers or regions with similar characteristics into a cluster.Results:Esophageal cancer, gastric cancer, liver cancer, lung cancer, colorectal and anal cancer have high incidence and mortality in both genders. The districts with high incidence of esophageal cancer and gastric cancer were grouped together. The counties or cities (Shexian, Yangcheng, Linzhou, Yanting, Yangzhong and Jianhu) with high incidence of esophageal cancer and gastric cancer were classified into same cluster frequently. Fusui was grouped along because of the lower incidence of various cancers than the national average except for liver cancer. Guangzhou, Sihui and Zhongshan were the districts with high incidence of nasopharyngeal carcinoma in both genders. Rural areas in Qidong and Haimen were classified into a cluster in male and total data for the high incidence of liver cancer. Colorectal cancer, anal cancer and breast cancer in women also had high incidence in urban areas. Cervical cancer had the second level high incidence in women following diseases of digestive system, breast cancer and lung cancer.Conclusion:Similar pathogenic factors may exist in counties or cities of Shexian, Cixian, Yangcheng,etc, because of the high prevalence of esophageal cancer. Similar pathogenic factors may also exist in other districts or cancers that were classified into the same cluster.
6.The value of utilizing bpMRI in prostate biopsy in the detection of prostate cancer with PSA≤20 ng/ml
Minjie PAN ; Feng QI ; Yifei CHENG ; Dongliang CAO ; Linghui LIANG ; Lei ZHANG ; Gong CHENG ; Lixin HUA
Chinese Journal of Urology 2021;42(1):18-22
Objective:To detect the value of utilizing bpMRI in prostate biopsy in the detection of prostate cancer with PSA≤20ng/ml.Methods:The clinical data of 394 patients who underwent prostate biopsy in the First Affiliated Hospital of Nanjing Medical University from November 2017 to October 2019 were retrospectively analyzed. Of all the patients, 177 underwent modified systematic biopsy, named TRUS group, 217 patients accepted pre-biopsy bpMRI examination, undergoing modified systematic biopsy if Prostate Imaging Reporting and Data System (PI-RADS) score < 3 or MRI-TRUS cognitive fusion targeted prostate + systematic biopsy if PI-RADS score ≥ 3, named MRI group. The median age of TRUS group was 66 (61, 74) years old, prostate specific antigen (PSA) was 9.52 (7.26, 12.30) ng / ml, and prostate volume (PV) was 36.84 (28.95, 57.72)ml. The median age of MRI group was 66 (59, 72) years old, PSA was 8.84 (6.65, 12.16) ng/ml, and PV was 39.45 (29.25, 58.69)ml. There was no difference in above parameters between the two groups. The χ 2 test was used to compare the detection rate of prostate cancer and clinically significant prostate cancer (CsPCa) between the two groups. Results:There was no significant difference in the detection rates of prostate cancer between TRUS group and MRI group [51.41% (91/177) vs. 48.39% (105/ 217), P = 0.550], but the detection rates of CsPCa were significantly different [26.55% (47/177) vs. 36.41% (79/217), P = 0.037]. In patients with PSA ≤ 10 ng / ml, there was no significant difference in the detection rates of prostate cancer between the two groups [43.62% (41/94) vs. 43.08% (56/130), P = 0.936], but there was a significant difference in the detection rates of CsPCa [17.02% (16/94) vs. 28.46% (37/130), P = 0.047]. There was no significant difference in the detection rates of prostate cancer [60.24% (50/83) and 56.17% (48/87), P= 0.504] and the detection rates of CsPCa [37.35% (31/83) vs. 48.28% (42/87), P = 0.150] between the two groups. The total detection rates of the last two needles in TRUS group and MRI group were 23.16% (41/177) and 36.63% (86/217), respectively, with significant difference ( P=0.001); the detection rates of CsPCa in the last two needles were 11.86% (26/177) and 29.03% (63/ 217), respectively, with significant difference ( P < 0.001). In MRI group, the detection rates of prostate cancer in patients with PI-RADS score <3, 3, 4, 5 were 21.21% (7/33), 25.84% (23/89), 73.24% (52/71), 95.83% (23/24), respectively; the detection rates of CsPCa were 12.12% (4/33), 17.98% (16/89), 54.93% (39/71), 83.33% (23/24), respectively. Conclusions:In patients with PSA ≤ 20 ng / ml, prostate biopsy based on bpMRI may improve the detection of CsPCa, especially in patients with PSA ≤ 10 ng/ml.
7.The benzo(a)pyrene-induced mRNA expression of aromatic hydrocarbon receptor and cytochrome P4501A1 genes in rat liver
Fuhou CHANG ; Qin YIN ; Jun QI ; Minjie WANG ; Lei FAN ; Ruilan HAN
Journal of Pharmaceutical Analysis 2010;22(1):30-33
Objective To study the benzo(a)pyrene (B[a]P)-induced mRNA expression of aromatic hydrocarbon receptor (AHR) and cytochrome P4501A1 (CYP1A1) genes in rat liver. Methods Rats were injected intraperitoneally with 5, 10 and 15mg/kg of B[a]P. The total RNAs were extracted from rat livers by RNA purification kit, and the mRNA expression of AHR and CYP1A1 genes was determined by reverse transcription polymerase chain reaction (RT-PCR). β-actin was used as the internal control. The mRNA expression of both AHR and CYP1A1 genes was measured at indicated time points (24, 48 and 72h) after B[a]P treatment at three different concentrations (5, 10 and 15mg/kg). Results The mRNA expression of AHR gene increased in a time-dependent manner at the concentration of 10mg/kg but not at 5 and 15mg/kg of B[a]P. The mRNA expression of CYP1A1 gene differed significantly at 48h and 24h in rat livers treated with 10 and 15mg/kg dosage of B[a]P. The mRNA expression of AHR and CYP1A1 genes increased with B[a]P treatment in a concentration-dependent manner. The time-dependent increase in mRNA expression was shown by AHR but not by CYP1A1 gene with B[a]P (10mg/kg) treatment. Conclusion This study demonstrates that toxic B[a]P increases the mRNA expression of both AHR and CYP1A1 genes in vivo, suggesting that B[a]P may play a role in cancer genesis by this way.
8.Genetic polymorphism of T6235C mutation in 3' non-coding region of CYP1A1 and GSTM1 genes and lung cancer susceptibility in the Mongolian population
Fuhou CHANG ; Minjie WANG ; Jun QI ; Qin YIN ; Lei FAN ; Ruilan HAN ; Guang WANG
Journal of Pharmaceutical Analysis 2009;21(4):225-229
Objective To estimate the relative risk for lung cancer associated with genetic polymorphism of T6235C mutation in 3' non-coding region (Msp Ⅰ) of cytochrome P450 1A1 (CYP1A1) and glntathione S-transferase M1 (GSTM1) in the Mongolian population in Inner Mongolian Region of China. Methods Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and multiplex PCR methods were used to analyze blood samples obtained from 263 case subjects and 263 control subjects to determine their genotypes for CYP1A1 and GSTM1.Control subjects were matched with case subjects by ethnic background, age and gender. Results The frequencies of the variant CYP1A1 genotypes (CYP1A1C) and GSTM1-null in lung cancer groups were higher than those in control groups (38.4% vs. 28. 5% and 57.8% vs. 48.0%). The individuals who corried with CYP1A1C genotype had a significantly higher risk of lung cancer (OR=1.56, 95% CI=1.08 to 2.25, P=0.016) than those who carried with non-variation CYP1A1 genotype. The ones who carried with GSTM1-null genotype also had a significantly higher risk of lung cancer (OR=1.49, 95% CI=1.06 to 2.10, P=0.023) than these who carried with GSTM1-present genotype.When combination of polymorphisms of CYP1A1 and GSTM1 genotypes was analyzed, the risk of lung cancer for combination of CYP1A1C and GSTM1-null genotypes was increased significantly (OR=2.084, 95e CI=1.27 to 3.42, P=0.003). Susceptibility to lung cancer was related to smoking (OR=2.10, 95% CI=1.48 to 2.98, P=0.000). Considering smoking status, the risk of lung cancer for combination of smoking and CYP1A1C genotype was remarkably increased (OR=2.76, 950/0 CI=1.74 to 4. 37, P=0.000). It was the same case with combination of smoking and GSTM1-null genotype (OR=4. 38, 95% CI=2.35 to 8.15, P=0.000). Conclusion The polymorphisms of CYP1A1C genotype and GSTM1-null are the risk factors of lung cancer in the Mongolian population in Inner Mongolia Region of China. Smoking is also related to susceptibility to lung cancer. There may be a synergetic interaction between CYP1A1C and GSTM1-null in the elevated susceptibility of lung cancer. Smoking may have a synergetic interaction with CYP1A1C and GSTM1-null in the elevated susceptibility of lung cancer.
9.The clinical significance of serum sialic acid detection for diagnosis and therapy monitoring in liver cancer patients
Minjie WANG ; Cuie YAN ; Xuexiang LI ; Shusheng HU ; Xiaohong HAN ; Jun QI
Chinese Journal of Laboratory Medicine 2013;36(7):643-647
Objective To investigate the clinical significance of the serum sialic acid (SA) detection for the diagnosis and therapy monitoring in liver cancer patients.Methods Patients and healthy people of Chinese academy of medical science cancer hospital from January 2011 to October 2012,were enrolled,including 221 liver cancer patients (183 primary hepatic carcinoma patients and 38 metastatic hepatic carcinoma patients),117 benign liver disease patients and 150 healthy people.The concentration of serum SA were tested by ROCHE P800.The intra-assay and inter-assay coefficient of variation (CV) of SA kit were evaluated by use of low and high concentration samples,measured for 5 days and 4 times each day.Receiver operating characteristic (ROC) curve were used to determine the cut-off of SA using data of 183 cases of primary liver cancer and 150 healthy controls.The area under the curve (ROC-AUC) were used to evaluate the diagnostic value of SA.The changes of serum SA level in 103 cases of primary hepatic carcinoma patients were monitored before therapy and at the 1 st day,7 th day,14 th day,1 st month,3rd month,6 th month and 9 th month after treatment.SPSS16.0 was used to analyse the results.Results The intra and inter-day CVs for low level sample were 2.4% and 3.2% respectively,and for high level sample were 2.2% and 3.1%.The cut-off value of the serum SA was 659 mg/L for liver cancer,the sensitivity and specificity was 63.4% (1 16/183) and 94.7% (142/150) respectively.The serum SA level of liver cancer group [(726 ± 173) mg/L] was higher than that of liver benign disease patients group [(552 ± 128) mg/ L] and healthy controls group [(599 ± 62) mg/L,U values were 1832.52 and 887.00,P < 0.01].The serum SA level were tracked in 103 cases of primary hepatic carcinoma patients during therapy period.The serum level of SA elevated to [(817 ± 193) mg/L,t =-3.272,P < 0.05] at I st week after treatment and kept at high level until late in 1st month after treatment [(782 ±173) mg/L,t =-2.694,P<0.05].In the 3rd month,the SA level decreased to that of pretreatment [(662 ± 138) mg/L,t =1.225,P > 0.05].In the 6th months,the SA level declined to [(615 ± 144) mg/L,t =1.999,P <0.05],as well as the level of healthy control group.There were 85 cases of hepatic carcinoma patients with decreased SA level compared with that of pretreatment,and the coincidence rate was 82.5% (85/103),the Kappa value was 0.79.There were 5 cases of patients with hepatic carcinoma relapse after treatment in 9 th months and the SA levels increased significantly to (939 ± 175) mg/L.Conclusion The serum SA has significant values possibly in the diagnosis and therapy monitoring in liver cancer patients.
10.The exploration of the correlation between the risk of obesity and the promoter methylation of PRDM16 gene
Panpan SUN ; Li LIU ; Fangfang ZHAN ; Minjie QI ; Ming LU ; Yuansi CHEN ; Jiaxin CHEN ; Xiaoli FU ; Zhiguang PING
Chinese Journal of Endocrinology and Metabolism 2016;32(5):370-375
Objective To explore the association between the CpG methylation level of positive regulatory domain containing 16(PRDM16)gene promoter and obesity or body mass index(BMI). Methods A total of 116 patients(91 female adults and 25 male adults) with abdominal operation in a municipal hospital of Henan province were enrolled in this study and they were divided into two groups:normal weight group(n=50), overweight or obesity group ( n=66 ) . Fasting plasma glucose, total cholesterol, triglyceride, high density lipoprotein and low density lipoprotein were measured in peripheral blood. DNA was extracted from white blood cells in peripheral blood and modified by bisulphite. Then the CpG methylation level of PRDM16 gene promoter was detected by mass spectrometry. Finally, all data were analyzed by IBM SPSS Statistics 21. 0 at the 5% level. The essential features and biochemical indexes of research objects between two groups were compared by two independent sample t-test, except chi-square test for gender. The correlation between CpG methylation level of PRDM16 gene and BMI was analyzed by multiple linear regression. Results There were no significant differences ( P>0. 05 ) in the methylation levels of PRDM16 gene's effective CpG sites(including CpG5. 6, CpG8, CpG9, CpG12, CpG13. 14. 15, CpG26. 27, CpG28 and CpG29) between two groups. The methylation level of CpG26. 27 had positive linear relation with BMI in overweight or obesity group with the standardized coefficients of 46. 928(P=0. 015), which means the higher the methylation level is, the higher the BMI would be. Conclusion The CpG26. 27 methylation level of PRDM16 gene promoter region may have relationship with the risk of obesity.