Tian Tian

Prof. Tian Tian

Nantong University, Nantong, Jiangsu, China
+1
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2010 in Journal of Clinical Oncology
Verified
Journal Article
Closed access
ZHZhibin Hu
Zhibin Hu
XCXi Chen
Xi Chen
YZYang Zhao
Yang Zhao
TTTian Tian
Tian Tian
GJGuangfu Jin
Guangfu Jin
HSHongbing Shen
Hongbing Shen
Purpose: Recent findings that human serum contains stably expressed microRNA (miRNA) have revealed a great potential of serum miRNA signature as disease fingerprints to predict survival. We used genome-wide serum miRNA expression analysis to investigate the role of serum miRNA in predicting prognosis of non–small-cell lung cancer (NSCLC). Patients and Methods: To control disease heterogeneity, we used patients with stages I to IIIa lung adenocarcinoma and squamous cell carcinoma, who were treated with both operation and adjuvant chemotherapies. In the discovery stage, Solexa sequencing followed by individual quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) assays was used to test the difference in levels of serum miRNAs between 30 patients with longer survival (alive and mean survival time, 49.54 months) and 30 patients with shorter survival matched by age, sex, and stage (dead and mean survival time, 9.54 months). The detected serum miRNAs then were validated in 243 patients (randomly classified into two subgroups: n = 120 for the training set, and n = 123 for the testing set). Results: Eleven serum miRNAs were found to be altered more than five-fold by Solexa sequencing between longer-survival and shorter-survival groups, and levels of four miRNAs (ie, miR-486, miR-30d, miR-1 and miR-499) were significantly associated with overall survival. The four-miRNA signature also was consistently an independent predictor of overall survival for both training and testing samples. Conclusion: The four-miRNA signature from the serum may serve as a noninvasive predictor for the overall survival of NSCLC.

1 June 2008 in Journal of Clinical Investigation
Verified
Journal Article
Closed access
PDF file
ZHZhibin Hu
Zhibin Hu
JCJiaping Chen
Jiaping Chen
TTTian Tian
Tian Tian
XZXiaoyi Zhou
Xiaoyi Zhou
HGHaiyong Gu
Haiyong Gu
HSHongbing Shen
Hongbing Shen
Recent evidence indicates that small noncoding RNA molecules known as microRNAs (miRNAs) can function as tumor suppressors and oncogenes. Mutation, misexpression, and altered mature miRNA processing are implicated in carcinogenesis and tumor progression. Because SNPs in pre-miRNAs could alter miRNA processing, expression, and/or binding to target mRNA, we conducted a systematic survey of common pre-miRNA SNPs and their surrounding regions and evaluated in detail the association of 4 of these SNPs with the survival of individuals with non–small cell lung cancer (NSCLC). When we assumed that disease susceptibility was inherited as a recessive phenotype, we found that the rs11614913 SNP in hsa-mir-196a2 was associated with survival in individuals with NSCLC. Specifically, survival was significantly decreased in individuals who were homozygous CC at SNP rs11614913. In the genotype-phenotype correlation analysis of 23 human lung cancer tissue samples, rs11614913 CC was associated with a statistically significant increase in mature hsa-mir-196a expression but not with changes in levels of the precursor, suggesting enhanced processing of the pre-miRNA to its mature form. Furthermore, binding assays revealed that the rs11614913 SNP can affect binding of mature hsa-mir-196a2-3p to its target mRNA. Therefore, the rs11614913 SNP in hsa-mir-196a2 may be a prognostic biomarker for NSCLC. Further characterization of miRNA SNPs may open new avenues for the study of cancer and therapeutic interventions.

1 April 2009 in Cancer Epidemiology, Biomarkers & Prevention
Verified
Journal Article
Open access
PDF file
TTTian Tian
Tian Tian
YSYongqian Shu
Yongqian Shu
JCJiaping Chen
Jiaping Chen
ZHZhibin Hu
Zhibin Hu
LXLin Xu
Lin Xu
HSHongbing Shen
Hongbing Shen
MicroRNAs (miRNA) are a new class of non-protein-coding, small RNAs that function as tumor suppressors or oncogenes. They participate in diverse biological pathways and function as gene regulators. Recently, we conducted a survey of common single nucleotide polymorphisms (SNP) in miRNA sequences and reported that, among four SNPs (rs2910164, rs2292832, rs11614913, and rs3746444) in pre-miRNAs, rs11614913 in miR-196a2 might affect mature miR-196a expression and target mRNA-binding activity and was significantly associated with non-small cell lung cancer survival. However, it remains largely unknown whether miRNA SNPs may alter lung cancer susceptibility. In the current study, we evaluated associations between the above four SNPs in pre-miRNAs and lung cancer susceptibility in a case-control study of 1,058 incident lung cancer patients and 1,035 cancer-free controls in a Chinese population. We found that miR-196a2 rs11614913 variant homozygote CC was associated with ∼25% significantly increased risk of lung cancer compared with their wild-type homozygote TT and heterozygote TC (odds ratio, 1.25; 95% confidence interval, 1.01-1.54). However, no significant effects were observed on the association between the other three SNPs and lung cancer risk. These findings suggest that functional SNP rs11614913 in miR-196a2 could also contribute to lung cancer susceptibility. (Cancer Epidemiol Biomarkers Prev 2009;18(4):1183–7)

1 January 2020 in The American Journal of Clinical Nutrition
Verified
Journal Article
Closed access
TTTian Tian
Tian Tian
JLJun Lv
Jun Lv
GJGuangfu Jin
Guangfu Jin
CYCanqing Yu
Canqing Yu
YGYu Guo
Yu Guo
LLLiming Li
Liming Li
Many cohort studies have explored the relation between tea consumption and stroke risk; however, the conclusions have been inconsistent. In addition, evidence is lacking in China, where the patterns of tea consumption and main types of tea consumed differ substantially from those in high-income countries. We aimed to systematically assess the association of tea consumption with the risk of stroke based on a Chinese large-scale cohort study. A total of 487,377 participants from the China Kadoorie Biobank were included in the present study. Detailed information about tea consumption (including frequency, duration, amount, and tea type) was self-reported at baseline. After ∼4.3 million person-years of follow-up, 38,727 incident cases of stroke were recorded, mainly through linkage with mortality and morbidity registries and based on the national health insurance system. Overall, 128,280 adults (26.3%) reported drinking tea almost daily (41.4% men, 15.9% women), predominantly green tea (86.7%). Tea consumption had an inverse and dose-response relation with the risk of stroke (Ptrend < 0.001). Compared with nonconsumers, those who consumed tea occasionally, weekly, and daily had adjusted HRs and 95% CIs of 0.96 (0.94, 0.99), 0.94 (0.90, 0.98), and 0.92 (0.89, 0.95) respectively, with little difference by stroke type. Among those who consumed tea daily, the HRs for stroke decreased with the increasing duration and amount of tea consumed (all P < 0.001). These inverse associations were significant for green tea but not for other types of tea. Among men, but not women, the inverse relations could be detected, and similar inverse associations could be found for male noncurrent alcohol-consumers and noncurrent smokers as well. Among Chinese adults, higher consumption of tea, especially green tea, was associated with a lower risk of ischemic and hemorrhagic stroke.

5 March 2025 in Microorganisms
Verified
Journal Article
Open access
PDF file
SLSiqi Li
Siqi Li
JLJiahao Liu
Jiahao Liu
XZXinyang Zhang
Xinyang Zhang
QGQihong Gu
Qihong Gu
YWYutong Wu
Yutong Wu
MCMinjie Chu
Minjie Chu
Antibiotics are a cornerstone of modern medicine, saving countless lives. However, their widespread use presents two major challenges. First, antibiotic-induced changes in the microbiome can disrupt immune function, increasing the susceptibility to diseases associated with these alterations. Second, prolonged antibiotic use fosters the proliferation of antibiotic resistance genes, leading to the emergence of resistant strains and threatening our ability to control infections. These challenges highlight an urgent global health crisis, necessitating in-depth investigation into the multifaceted effects of antibiotic exposure on microbiome dynamics and human health. In this review, we explore the potential effects of antibiotic exposure on the microbiome and its implications for overall health. Additionally, we examine the role of emerging technologies in addressing these challenges and in shaping future antibiotic development. Our goal is to provide insights that will inform more effective public health strategies and interventions aimed at mitigating the adverse consequences of antibiotic use, restoring microbial balance, and improving overall health outcomes.

31 May 2017 in Journal of Stroke
Verified
Journal Article
Open access
PDF file
TTTian Tian
Tian Tian
Guangfu JinGuangfu Jin
Guangfu Jin
CYCanqing Yu
Canqing Yu
JLJun Lv
Jun Lv
YGYu Guo
Yu Guo
OGon behalf of the China Kadoorie Biobank Collaborative Group
on behalf of the China Kadoorie Biobank Collaborative Group
Large cohort studies on relationship between family history of stroke (FHS) and stroke risk are lacking in Asians. We aimed to systematically evaluate the association of FHS with stroke risk in a cohort study of 0.5 million Chinese adults. Information about FHS was self-reported. The median follow-up time was 7.16 years and the end-point of follow-up was incident stroke, which was entered directly into the China Kadoorie Biobank system. Multivariate analyses were performed with Cox proportional hazards model, and interaction analyses were carried using likelihood-ratio tests. Compared with participants without FHS, the hazard ratio (HR) (95% confidence interval, CI) of stroke for participants with FHS was 1.50 (1.46-1.55). The HRs increased with the number of first degree relatives with stroke (HRs=1.41, 1.98 and 2.47 for 1, 2 and ≥3 relatives, respectively, Ptrend <0.001). The HRs were 1.57 (95% CI: 1.50-1.66) and 1.49 (95% CI: 1.45-1.54) for sibling history and parental history, respectively. Similar associations with offspring stroke risk were observed between paternal history (HR=1.48, 95% CI: 1.43-1.54) and maternal history (HR=1.49, 95% CI: 1.43-1.55). Moreover, significant interactions were detected between FHS and health-risk behaviors (tobacco smoking and alcohol drinking). FHS is an independent risk factor for stroke in Chinese. The more first degree relatives are affected by stroke, the higher are individuals' risk of suffering from stroke. The management of the health-risk behaviors for reducing stroke should be highlighted, especially for the individuals with FHS.