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Dive into the research topics where Xiaohui Liang is active.

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Featured researches published by Xiaohui Liang.


Cancer Research | 2008

Hoxb7 Inhibits Transgenic HER-2/neu–Induced Mouse Mammary Tumor Onset but Promotes Progression and Lung Metastasis

Hexin Chen; Ji Shin Lee; Xiaohui Liang; Huiping Zhang; Tao Zhu; Zhe Zhang; M. Evangeline Taylor; Cynthia A. Zahnow; Lionel Feigenbaum; Alan Rein; Saraswati Sukumar

Our previous studies have shown that HOXB7 mRNA is overexpressed in approximately 50% of invasive breast carcinomas and promotes tumor progression in breast cancer cells grown as xenografts in mice. In silico analysis of published microarray data showed that high levels of HOXB7 predict a poor outcome in HER-2-positive (P = 0.046), but not in HER-2-negative breast cancers (P = 0.94). To study the function of HOXB7 in vivo in the context of HER-2 overexpression, we generated mouse mammary tumor virus (MMTV)-Hoxb7 transgenic mice, and then crossed them with MMTV-HER-2/neu transgenic mice. In the mice carrying both Hoxb7 and HER-2/neu transgenes, Hoxb7 plays a dual role in mammary tumorigenesis. In double transgenic mice, overexpression of Hoxb7 delayed tumor onset and lowered tumor multiplicity. However, consistent with the clinical data, once the tumors appeared, their growth was faster and metastasis to the lungs occurred at a higher frequency. Our data show, for the first time, that deregulated expression of Hoxb7 in mammary tumor cells can significantly modulate HER-2/neu-oncogene induced tumorigenesis in vivo.


Cancer Research | 2010

Epigenetic inactivation of the potential tumor suppressor gene FOXF1 in breast cancer

Pang Kuo Lo; Ji Shin Lee; Xiaohui Liang; Liangfeng Han; Tsuyoshi Mori; Mary Jo Fackler; Helen Sadik; Pedram Argani; Tej K. Pandita; Saraswati Sukumar

The expression of several members of the FOX gene family is known to be altered in a variety of cancers. We show that in breast cancer, FOXF1 gene is a target of epigenetic inactivation and that its gene product exhibits tumor-suppressive properties. Loss or downregulation of FOXF1 expression is associated with FOXF1 promoter hypermethylation in breast cancer cell lines and in invasive ductal carcinomas. Methylation of FOXF1 in invasive ductal carcinoma (37.6% of 117 cases) correlated with high tumor grade. Pharmacologic unmasking of epigenetic silencing in breast cancer cells restored FOXF1 expression. Re-expression of FOXF1 in breast cancer cells with epigenetically silenced FOXF1 genes led to G(1) arrest concurrent with or without apoptosis to suppress both in vitro cell growth and in vivo tumor formation. FOXF1-induced G(1) arrest resulted from a blockage at G(1)-S transition of the cell cycle through inhibition of the CDK2-RB-E2F cascade. Small interfering RNA-mediated depletion of FOXF1 in breast cancer cells led to increased DNA re-replication, suggesting that FOXF1 is required for maintaining the stringency of DNA replication and genomic stability. Furthermore, expression profiling of cell cycle regulatory genes showed that abrogation of FOXF1 function resulted in increased expression of E2F-induced genes involved in promoting the progression of S and G(2) phases. Therefore, our studies have identified FOXF1 as a potential tumor suppressor gene that is epigenetically silenced in breast cancer, which plays an essential role in regulating cell cycle progression to maintain genomic stability.


The Journal of Molecular Diagnostics | 2009

MethySYBR, a novel quantitative PCR assay for the dual analysis of DNA methylation and CpG methylation density

Pang-Kuo Lo; Hanano Watanabe; Pi-Chun Cheng; Wei Wen Teo; Xiaohui Liang; Pedram Argani; Ji Shin Lee; Saraswati Sukumar

Development of facile, sensitive, specific, and economical assays for the analysis of methylated alleles is crucial to the use of methylated biomarkers for cancer detection. We hereby report a novel method, MethySYBR, a SYBR green-based PCR assay for the dual analysis of DNA methylation and CpG methylation density. MethySYBR begins with multiplex PCR to enable the simultaneous amplification of many discrete target alleles in a single reaction using as little as 3 pg of bisulfite-converted DNA. In the second round of PCR, the specific methylated target is quantified from multiplex products using both nested methylation-independent and methylation-specific primer sets. Moreover, the use of SYBR green dye during quantitative PCR enables melting curve analysis of target amplicons to determine the methylation density of CpG sites on target alleles. To establish proof of principle, two cancer-specific methylated genes, RASSF1A and OGDHL, were assessed by MethySYBR. We demonstrated that MethySYBR sensitively detected methylated alleles in the presence of a 100,000-fold excess of unmethylated allele. Furthermore, MethySYBR was shown to be capable of analyzing minute amounts of DNA from paraffin-embedded tissue. Therefore, the MethySYBR assay is a simple, highly specific, highly sensitive, high-throughput, and cost-effective method that is widely applicable to basic and clinical studies of DNA methylation.


Journal of Cheminformatics | 2015

CHEMDNER system with mixed conditional random fields and multi-scale word clustering

Yanan Lu; Donghong Ji; Xiaoyuan Yao; Xiaomei Wei; Xiaohui Liang

BackgroundThe chemical compound and drug name recognition plays an important role in chemical text mining, and it is the basis for automatic relation extraction and event identification in chemical information processing. So a high-performance named entity recognition system for chemical compound and drug names is necessary.MethodsWe developed a CHEMDNER system based on mixed conditional random fields (CRF) with word clustering for chemical compound and drug name recognition. For the word clustering, we used Browns hierarchical algorithm and Skip-gram model based on deep learning with massive PubMed articles including titles and abstracts.ResultsThis system achieved the highest F-score of 88.20% for the CDI task and the second highest F-score of 87.11% for the CEM task in BioCreative IV. The performance was further improved by multi-scale clustering based on deep learning, achieving the F-score of 88.71% for CDI and 88.06% for CEM.ConclusionsThe mixed CRF model represents both the internal complexity and external contexts of the entities, and the model is integrated with word clustering to capture domain knowledge with PubMed articles including titles and abstracts. The domain knowledge helps to ensure the performance of the entity recognition, even without fine-grained linguistic features and manually designed rules.


Cancer Biology & Therapy | 2006

Mutational hotspot in exon 20 of PIK3CA in breast cancer among Singapore Chinese

Xiaohui Liang; Quek Choon Lau; Manuel Salto-Tellez; Thomas Choudary Putti; Marie Loh; Saraswati Sukumar

The recent identification of somatic mutations in the catalytic region of PIK3 (PIK3CA) in breast cancer and demonstration of their oncogenic function has implicated PIK3CA in mammary carcinogenesis. To investigate possible ethnic differences in patterns of PIK3CA mutations in Singaporean Chinese breast cancer and to characterize these in a panel of cell lines, we sequenced exons 9 and 20 in 80 primary tumors, 19 breast cancer cell lines and 7 normal human mammary epithelial cells (HMECs). Searching for novel hotspots of mutation, we sequenced additional exons (1, 2, 6, 7, 14 and 18) in 20 primary tumors and 6 breast cancer cell lines. We detected 33 point mutations in 31 of 80 (39%) breast cancers, and 11 mutations in 10 of 19 (53%) breast cancer cell lines. No mutations were detected in normal breast tissue adjacent to the tumor, or in the 6 normal HMECs. The exon 20 A3140G (H1047R) substitution was identified most frequently (22/31, 71%) and showed a significant association with patient age (p=0.043) and stage of the disease (p=0.025), but not with ER/PR status or histological grade of the tumor. The incidence of point mutations in PIK3CA, the A3140G substitution in particular, in Singapore breast cancers are among the most frequent reported to date for any gene in breast cancer. The results suggest that mutation of PIK3CA might contribute to development of early stage breast cancer and could provide a potent target for early diagnosis and therapy.


PLOS ONE | 2014

An Investigation of Outpatient Children's Blood Lead Level in Wuhan China

Ying Li; Siqi Wu; Yun Xiang; Xiaohui Liang

Objective Blood lead levels (BLLs) and possible influencing factors in children in Wuhan China were investigated in order to understand current lead pollution exposure and provide a scientific basis for prevention and policy making. Materials and Methods BLL data were collected from 15,536 out-patients in Wuhan Children Hospital in 2012 full year. All of them were under 18 years of age (Mean ± SD: 4.32±3.2, 64.4% boys). The BLLs were measured by an atomic absorption spectrometry (BH2100). Results The geometric mean of BLLs for all the subjects was 44.75 µg/L (95%CI: 44.46 µg/L – 45.05 µg/L), much lower than that reported in previous studies. The prevalence of the elevated BLLs (≥ 100 µg/L) in the children tested was 2% in 2012 and the prevalence of BLLs (≥ 50 µg/L) was 44%. Age and sex could be possible influencing factors for BLLs in the children (p<0.001). In addition, the BLLs in different seasons were different (p<0.001). Conclusions These results demonstrate that BLLs have significantly decreased in children in Wuhan during recent years. However, we should continuously pay attention to lead pollution and emphasize that prevention is much more important than treatment for controlling childrens BLLs.


Cellular Signalling | 2016

The dual role of FOXF2 in regulation of DNA replication and the epithelial-mesenchymal transition in breast cancer progression

Pang Kuo Lo; Ji Shin Lee; Xiaohui Liang; Saraswati Sukumar

Dysregulation of Forkhead-box (FOX) transcription factors is linked to cancers of numerous tissue types. Here, we report that FOXF2 is frequently silenced in luminal-type and HER2-positive breast cancers, but is overexpressed in basal-like breast cancers; thus, FOXF2 appears to play distinct roles in different breast cancer subtypes. Inactivation of FOXF2 in luminal-type and HER2-positive breast cancers is attributable to epigenetic silencing. Silencing of FOXF2 is associated with poor prognosis in luminal-type breast cancer. Ectopic expression of FOXF2 in luminal and HER2-positive breast cancer cells suppresses their tumorigenic properties in vitro and in vivo via inhibition of the CDK2-RB-E2F cascade. The in vivo function of FOXF2 is to maintain the stringency of DNA replication, and its loss triggers dysregulation of DNA replication, which in turn activates the p53 checkpoint pathway. Besides its role in cell cycle regulation, FOXF2 is functionally required for mobility and epithelial-to-mesenchymal transition (EMT) of normal breast epithelial cells. In basal-like breast cancer cells, the cell-cycle function of FOXF2 is impaired. However, the EMT function of FOXF2 is still required for mobility, invasiveness and anchorage-independent growth of basal-like breast cancer cells. Our gene expression profiling studies demonstrate that FOXF2 regulates the expression of genes implicated in cell cycle and EMT regulation. Moreover, FOXF2 is highly co-expressed with basal- and metastasis-related genes in breast cancer. These findings suggest that FOXF2 has a dual role in breast tumorigenesis and functions as either a tumor suppressor or an oncogene depending on the breast tumor subtype.


PLOS ONE | 2014

Association of mTOR polymorphisms with cancer risk and clinical outcomes: a meta-analysis.

Jianbo Shao; Ying Li; Peiwei Zhao; Xin Yue; Jun Jiang; Xiaohui Liang; Xuelian He

Genetic polymorphisms in mTOR gene may be associated with cancer risk and clinical outcomes of cancer patients by affecting mTOR gene expression or its activation. However, inconsistent results have been reported. The aim of this study is to systematically evaluate the association between mTOR polymorphisms (rs2295080, rs2536 and rs11121704) and cancer risk as well as clinical outcome by a meta-analysis. We identified 10 eligible studies and extracted data by two investigators. Based on dominant and recessive models, odds ratio (ORs) and 95% confidence intervals (CIs) were calculated by using Stata, version 11 to evaluate the association strength. Our meta-analysis results showed that the wild genotype TT of rs2295080 polymorphism was associated with increased cancer risk under dominant model (OR = 1.24, 95%CI: 1.12–1.36, p<0.0005) in Chinese but not with clinical outcome parameters, while the TT genotype of rs11121704 was associated with poor clinical outcome parameters (OR = 1.53, 95%CI: 1.01–2.32, p = 0.044), such as death, metastasis and resistance to chemotherapy. However, rs2536 may not influence cancer susceptibility. In conclusion, this meta-analysis indicated the common polymorphisms in mTOR gene might be genetic risk factors for the carcinogenesis and clinical outcomes of cancer patients. However, further investigation on large population and different ethnicities are warranted.


Molecular Oncology | 2017

Inhibitors of STAT3, β‐catenin, and IGF‐1R sensitize mouse PIK3CA‐mutant breast cancer to PI3K inhibitors

Vanessa F. Merino; Soonweng Cho; Xiaohui Liang; Sunju Park; Kideok Jin; Qian Chen; Duojia Pan; Cynthia A. Zahnow; Alan Rein; Saraswati Sukumar

Although mutations in the phosphoinositide 3‐kinase catalytic subunit (PIK3CA) are common in breast cancer, PI3K inhibitors alone have shown modest efficacy. We sought to identify additional pathways altered in PIK3CA‐mutant tumors that might be targeted in combination with PI3K inhibitors. We generated two transgenic mouse models expressing the human PIK3CA‐H1047R‐ and the ‐E545K hotspot‐mutant genes in the mammary gland and evaluated their effects on development and tumor formation. Molecular analysis identified pathways altered in these mutant tumors, which were also targeted in multiple cell lines derived from the PIK3CA tumors. Finally, public databases were analyzed to determine whether novel pathways identified in the mouse tumors were altered in human tumors harboring mutant PIK3CA. Mutant mice showed increased branching and delayed involution of the mammary gland compared to parental FVB/N mice. Mammary tumors arose in 30% of the MMTV‐PIK3CA‐H1047R and in 13% of ‐E545K mice. Compared to MMTV‐Her‐2 transgenic mouse mammary tumors, H1047R tumors showed increased upregulation of Wnt/β‐catenin/Axin2, hepatocyte growth factor (Hgf)/Stat3, insulin‐like growth factor 2 (Igf‐2), and Igf‐1R pathways. Inhibitors of STAT3, β‐catenin, and IGF‐1R sensitized H1047R‐derived mouse tumor cells and PIK3CA‐H1047R overexpressing human HS578T breast cancer cells to the cytotoxic effects of PI3K inhibitors. Analysis of The Cancer Genome Atlas database showed that, unlike primary PIK3CA‐wild‐type and HER‐2+ breast carcinomas, PIK3CA‐mutant tumors display increased expression of AXIN2, HGF, STAT3, IGF‐1, and IGF‐2 mRNA and activation of AKT, IGF1‐MTOR, and WNT canonical signaling pathways. Drugs targeting additional pathways that are altered in PIK3CA‐mutant tumors may improve treatment regimens using PI3K inhibitors alone.


Tumor Biology | 2016

GRIM-19 inhibition induced autophagy through activation of ERK and HIF-1α not STAT3 in Hela cells.

Xin Yue; Peiwei Zhao; Kongming Wu; Juan Huang; Wen Zhang; Yaogui Wu; Xiaohui Liang; Xuelian He

Gene associated with retinoid-interferon-induced mortality (GRIM-19), an important subunit of mitochondrial complex I, has been identified as a tumor suppressor, and its reduced expression has been reported to be associated with tumorigenesis and metastasis. Autophagy has been proposed as a protective mechanism for cell survival under various stresses, including chemotherapy. However, it remains unknown whether GRIM-19 is linked to autophagy and chemotherapy resistance. Here, we showed that suppression of GRIM-19 by shRNA enhanced cell-type-dependent autophagy by activating extracellular regulated protein kinase (ERK) and hypoxia inducible factor-1a (HIF-1a) in a reactive oxygen species (ROS)-mediated manner, and thereby conferred resistance to paclitaxel. Besides, the antioxidant N-acetyl-l-cysteine (NAC) and autophagy inhibitor 3-MA could in part overcome this resistance. We also found that GRIM-19 expression was significantly correlated with clinical stage and grade in patients with cervical cancers. Taken together, our results indicated that GRIM-19 inhibition induced autophagy and chemotherapy resistance, which could affect prognosis of cervical cancers. Our study has identified new function of GRIM-19 and its underlying mechanism, and it will provide possible avenues for therapeutic targeting in cervical cancers.

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Saraswati Sukumar

Johns Hopkins University School of Medicine

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De Yun Wang

National University of Singapore

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Chew Kiat Heng

National University of Singapore

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Pang-Kuo Lo

Johns Hopkins University School of Medicine

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Peiwei Zhao

Boston Children's Hospital

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Xin Yue

Boston Children's Hospital

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Wai Cheung

National University of Singapore

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Pedram Argani

Johns Hopkins University

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Ji Shin Lee

Johns Hopkins University School of Medicine

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