1.Identification of novel epithelial ovarian cancer biomarkers by cross-laboratory microarray analysis.
Xuefeng, JIANG ; Tao, ZHU ; Jie, YANG ; Shuang, LI ; Shuangmei, YE ; Shujie, LIAO ; Li, MENG ; Yunping, LU ; Ding, MA
Journal of Huazhong University of Science and Technology (Medical Sciences) 2010;30(3):354-9
The purpose of this study was to pool information in epithelial ovarian cancer by combining studies using Affymetrix expression microarray datasets made at different laboratories to identify novel biomarkers. Epithelial microarray expression information across laboratories was screened and combined after preprocessing raw microarray data, then ANOVA and unpaired T test statistical analysis was performed for identifying differentially expressed genes (DEGs), followed by clustering and pathway analysis for these DEGs. In this work, we performed a combination analysis on microarrays from three different laboratories using gene expression data on ovarian cancer and obtained a list of differential expression profiles identified as potential candidate in aggressiveness of ovarian cancer. The clustering and pathway analysis explored the different molecular basis of different ovarian cancer stages and potential important regulatory pathways in ovarian cancer development. Our results showed that combination of microarray data from different laboratories in the same platforms may overcome biases derived from probe design and technical features, thereby accelerating the identification of trustworthy DEGs, and demonstrating the advantage of integrative analysis in gene expression studies on epithelial ovarian cancer research.
2.Correlation between blood pressure variability and early neurological deterioration in patients with acute anterior circulation large artery atherosclerotic stroke
Xingping HE ; Zhiping LI ; Jiajia YANG ; Wei GUO ; Jiaming ZHU ; Jing CHEN ; Xiuli XU ; Shuangmei LI ; Zuowei DUAN ; Yihui LIU
International Journal of Cerebrovascular Diseases 2018;26(9):660-665
Objective To investigate the correlation between blood pressure variability (BPV) and early neurological deterioration (END) in patients with acute anterior circulation large artery atherosclerotic (LAA)stroke. Methods From January 2015 to June 2018, consecutive patients with anterior circulation acute ischemic stroke admitted to the Department of Neurology, the Affiliated Hospital of Yangzhou University were enrolled prospectively. According to the etiological classification, they were divided into LAA group and non-LAA group. By monitoring the blood pressure within 72 h of hospitalization, the mean, maximum (max)and minimum (min) values, and the difference between max and min (max-min), standard deviation (SD),and coefficient of variation (CV; CV = SD × 100/mean) were calculated. END was defined as the highest score of the National Institutes of Health Stroke Scale (NIHSS) within 72 h of admission increased by ≥2than the baseline. Multivariate logistic regression analysis was used to determine the correlation between BPV parameters and END. Results A total of 271 patients with anterior circulation acute ischemic stroke were enrolled, including 101 females (37. 3%) and 170 males (62. 7%), with an average age of 64. 99 ± 11. 51 years. There were 95 patients (35. 1%) with LAA and 176 (64. 9%) with non-LAA. In the LAA group and non-LAA group, 36 patients (37.9%) and 50 patients (28.4%) developed END respectively. The comparison between END patients and non-END patients in the LAA group showed that there were significant differences in age, sex, diabetes mellitus, baseline NIHSS score and C-reactive protein, as well as SBPmax , SBPmax-min , SBPSD , SBPCV, DBPmax , DBPmax-min , DBPSD , and DBPCV in BPV indices (all P < 0. 05).Multivariate logistic regression analysis showed that many BPV indices were the independent risk factors for END, including SBPmax (odds ratio [OR] 1. 027, 95% confidence interval [CI] 1. 003-1. 052; P = 0. 027),SBPmax-min (OR 1. 041, 95%CI 1. 015-1. 068; P = 0. 002), SBPSD (OR 1. 177, 95% CI 1. 048-1. 322; P =0. 006), SBPCV (OR 1. 226, 95% CI 1. 036-1.451; P = 0. 018), DBPmax (OR 1. 073, 95% CI 1. 017-1. 133;P = 0. 010), DBPmax-min (OR 1. 107, 95%CI 1. 044-1. 174; P = 0. 001), DBPSD (OR 1. 693, 95%CI 1. 268- 2. 260; P < 0. 001), and DBPCV(OR 1. 726, 95%CI 1. 311-2. 271; P < 0. 001). In the non-LAA group, there were no significant association between all BPV parameters and the occurrence of END. Conclusion BPV was significantly correlated with END in patients with anterior circulation LAA.
3.Identification of Novel Epithelial Ovarian Cancer Biomarkers by Cross-laboratory Microarray Analysis
JIANG XUEFENG ; Zhu TAO ; YANG JIE ; LI SHUANG ; YE SHUANGMEI ; LIAO SHUJIE ; MENG LI ; LU YUNPING ; MA DING
Journal of Huazhong University of Science and Technology (Medical Sciences) 2010;30(3):354-359
The purpose of this study was to pool information in epithelial ovarian cancer by combining studies using Affymetrix expression microarray datasets made at different laboratories to identify novel biomarkers.Epithelial microarray expression information across laboratories was screened and combinedafter preprocessing raw microarray data,then ANOVA and unpaired T test statistical analysis was performed for identifying differentially expressed genes(DEGs),followed by clustering and pathway analysis for these DEGs.In this work,we performed a combination analysis on microarrays from three different laboratories using gene expression data on ovarian cancer and obtained a list of differential expression profiles identified as potential candidate in aggressiveness of ovarian cancer.The clustering and pathway analysis explored the different molecular basis of different ovarian cancer stages and potential important regulatory pathways in ovarian cancer development.Our results showed that combination of microarray data from different laboratories in the same platforms may overcome biases derived from probe design and technical features,thereby accelerating the identification of trustworthy DEGs,and demonstrating the advantage of integrative analysis in gene expression studies on epithelial ovarian cancer research.
4.Health economic evidence for colorectal cancer screening programs in China: an update from 2009-2018
Hong WANG ; Huiyao HUANG ; Chengcheng LIU ; Fangzhou BAI ; Juan ZHU ; Le WANG ; Xinxin YAN ; Yunsi CHEN ; Hongda CHEN ; Yueming ZHANG ; Jiansong REN ; Shuangmei ZOU ; Ni LI ; Zhaoxu ZHENG ; Hao FENG ; Huijun BAI ; Juan ZHANG ; Wanqing CHEN ; Min DAI ; Jufang SHI
Chinese Journal of Epidemiology 2020;41(3):429-435
Objective:This study was to systematically update the economic evaluation evidence of colorectal cancer screening in mainland China.Methods:Based on a systematic review published in 2015, we expanded the scope of retrieval database (PubMed, EMbase, The Cochrane Library, Web of Science, CNKI, Wanfang Data, VIP, CBM) and extended it to December 2018. Focusing on the evidence for nearly 10 years (2009-2018), basic characteristics and main results were extracted. Costs were discounted to 2017 using the consumer price index of medical and health care being provided to the residents, and the ratio of incremental cost-effectiveness ratio (ICER) to per capita GDP in corresponding years were calculated.Results:A total of 12 articles (8 new ones) were included, of which 9 were population-based (all cross-sectional studies) and 3 were model-based. Most of the initial screening age was 40 years (7 articles), and most of the frequency was once in a lifetime (11 articles). Technologies used for primary screening included: questionnaire assessment, immunological fecal occult blood test (iFOBT) and endoscopy. The most commonly used indicator was the cost per colorectal cancer detected, and the median (range) of the 20 screening schemes was 52 307 Chinese Yuan (12 967-3 769 801, n=20). The cost per adenoma detected was 9 220 Yuan (1 859-40 535, n=10). In 3 articles, the cost per life year saved (compared with noscreening) was mentioned and the ratio of ICER to GDP was 0.673 (-0.013-2.459, n=11), which was considered by WHO as "very cost-effective" ; The range of ratios overlapped greatly among different technologies and screening frequencies, but the initial age for screening seemed more cost-effective at the age of 50 years (0.002, -0.013-0.015, n=3), than at the 40 year-olds (0.781, 0.321-2.459, n=8). Conclusions:Results from the population-based studies showed that the cost per adenoma detected was only 1/6 of the cost per colorectal cancer detected, and limited ICER evidence suggested that screening for colorectal cancer was generally cost-effective in Chinese population. Despite the inconclusiveness of the optimal screening technology, the findings suggested that the initial screening might be more cost-effective at older age. No high-level evidence such as randomized controlled trial evaluation was found.
5.Different methods in predicting mortality of pediatric intensive care units sepsis in Southwest China
Rong LIU ; Zhicai YU ; Changxue XIAO ; Shufang XIAO ; Juan HE ; Yan SHI ; Yuanyuan HUA ; Jimin ZHOU ; Guoying ZHANG ; Tao WANG ; Jianyu JIANG ; Daoxue XIONG ; Yan CHEN ; Hongbo XU ; Hong YUN ; Hui SUN ; Tingting PAN ; Rui WANG ; Shuangmei ZHU ; Dong HUANG ; Yujiang LIU ; Yuhang HU ; Xinrui REN ; Mingfang SHI ; Sizun SONG ; Jumei LUO ; Juan LIU ; Juan ZHANG ; Feng XU
Chinese Journal of Pediatrics 2024;62(3):204-210
Objective:To investigate the value of systemic inflammatory response syndrome (SIRS), pediatric sequential organ failure assessment (pSOFA) and pediatric critical illness score (PCIS) in predicting mortality of pediatric sepsis in pediatric intensive care units (PICU) from Southwest China.Methods:This was a prospective multicenter observational study. A total of 447 children with sepsis admitted to 12 PICU in Southwest China from April 2022 to March 2023 were enrolled. Based on the prognosis, the patients were divided into survival group and non-survival group. The physiological parameters of SIRS, pSOFA and PCIS were recorded and scored within 24 h after PICU admission. The general clinical data and some laboratory results were recorded. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare the predictive value of SIRS, pSOFA and PCIS in mortality of pediatric sepsis.Results:Amongst 447 children with sepsis, 260 patients were male and 187 patients were female, aged 2.5 (0.8, 7.0) years, 405 patients were in the survival group and 42 patients were in the non-survival group. 418 patients (93.5%) met the criteria of SIRS, and 440 patients (98.4%) met the criteria of pSOFA≥2. There was no significant difference in the number of items meeting the SIRS criteria between the survival group and the non-survival group (3(2, 4) vs. 3(3, 4) points, Z=1.30, P=0.192). The pSOFA score of the non-survival group was significantly higher than that of the survival group (9(6, 12) vs. 4(3, 7) points, Z=6.56, P<0.001), and the PCIS score was significantly lower than that of the survival group (72(68, 81) vs. 82(76, 88) points, Z=5.90, P<0.001). The predictive value of pSOFA (AUC=0.82) and PCIS (AUC=0.78) for sepsis mortality was significantly higher than that of SIRS (AUC=0.56) ( Z=6.59, 4.23, both P<0.001). There was no significant difference between pSOFA and PCIS ( Z=1.35, P=0.176). Platelet count, procalcitonin, lactic acid, albumin, creatinine, total bilirubin, activated partial thromboplastin time, prothrombin time and international normalized ratio were all able to predict mortality of sepsis to a certain degree (AUC=0.64, 0.68, 0.80, 0.64, 0.68, 0.60, 0.77, 0.75, 0.76, all P<0.05). Conclusion:Compared with SIRS, both pSOFA and PCIS had better predictive value in the mortality of pediatric sepsis in PICU.
6. Natural history of colorectal cancer: a Meta-analysis on global prospective cohort studies
Huiyao HUANG ; Songlin ZHU ; Tianhong ZHOU ; Zhifang LI ; Chengcheng LIU ; Hong WANG ; Shipeng YAN ; Shuming SONG ; Shuangmei ZOU ; Yueming ZHANG ; Ning LI ; Lin ZHU ; Xianzhen LIAO ; Jufang SHI ; Min DAI
Chinese Journal of Epidemiology 2019;40(7):821-831
Objective:
To acknowledge the availability and rates of annual transition of outcomes during the progression and regression stages of colorectal cancer (CRC) and related diseases, by pooling global follow-up studies on the natural history of CRC.
Methods:
Till March, 2017, data was collected through systematic literature review over multiple databases, including PubMed, Embase, Cochrane and Chinese Biology Medicine (CBM) disc. Information regarding the characteristics, classification system of health states, related outcomes and incidence rates on CRC or high-risk adenoma for the surveillance cohorts of the studies, were extracted and summarized. Both Meta and sensitivity analyses were performed on those outcomes if they appeared in more than 3 studies, using the random effects model. Annual transition rate with 95