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Featured researches published by Jeanie Wu.


Gut | 2012

A comprehensive survey of genomic alterations in gastric cancer reveals systematic patterns of molecular exclusivity and co-occurrence among distinct therapeutic targets

Niantao Deng; Liang Kee Goh; Hannah Wang; Kakoli Das; Jiong Tao; Iain Beehuat Tan; Shenli Zhang; Minghui Lee; Jeanie Wu; Kiat Hon Lim; Zhengdeng Lei; Glenn Goh; Qing-Yan Lim; Angie Lay-Keng Tan; Dianne Yu Sin Poh; Sudep Riahi; Sandra Bell; Michael M. Shi; Ronald Richard Linnartz; Feng-Cai Zhu; Khay Guan Yeoh; Han Chong Toh; Wei Peng Yong; Hyun Cheol Cheong; Sun Young Rha; Alex Boussioutas; Heike I. Grabsch; Steve Rozen; Patrick Tan

Objective Gastric cancer is a major gastrointestinal malignancy for which targeted therapies are emerging as treatment options. This study sought to identify the most prevalent molecular targets in gastric cancer and to elucidate systematic patterns of exclusivity and co-occurrence among these targets, through comprehensive genomic analysis of a large panel of gastric cancers. Design Using high-resolution single nucleotide polymorphism arrays, copy number alterations were profiled in a panel of 233 gastric cancers (193 primary tumours, 40 cell lines) and 98 primary matched gastric non-malignant samples. For selected alterations, their impact on gene expression and clinical outcome were evaluated. Results 22 recurrent focal alterations (13 amplifications and nine deletions) were identified. These included both known targets (FGFR2, ERBB2) and also novel genes in gastric cancer (KLF5, GATA6). Receptor tyrosine kinase (RTK)/RAS alterations were found to be frequent in gastric cancer. This study also demonstrates, for the first time, that these alterations occur in a mutually exclusive fashion, with KRAS gene amplifications highlighting a clinically relevant but previously underappreciated gastric cancer subgroup. FGFR2-amplified gastric cancers were also shown to be sensitive to dovitinib, an orally bioavailable FGFR/VEGFR targeting agent, potentially representing a subtype-specific therapy for FGFR2-amplified gastric cancers. Conclusion The study demonstrates the existence of five distinct gastric cancer patient subgroups, defined by the signature genomic alterations FGFR2 (9% of tumours), KRAS (9%), EGFR (8%), ERBB2 (7%) and MET (4%). Collectively, these subgroups suggest that at least 37% of gastric cancer patients may be potentially treatable by RTK/RAS directed therapies.


Nature Genetics | 2012

Exome sequencing of liver fluke-associated cholangiocarcinoma

Choon Kiat Ong; Chutima Subimerb; Chawalit Pairojkul; Sopit Wongkham; Ioana Cutcutache; Willie Yu; John R. McPherson; George E. Allen; Cedric Chuan Young Ng; Bernice Huimin Wong; Swe Swe Myint; Vikneswari Rajasegaran; Hong Lee Heng; Anna Gan; Zhi Jiang Zang; Yingting Wu; Jeanie Wu; Ming Hui Lee; Dachuan Huang; Pauline Ong; Waraporn Chan-on; Yun Cao; Chao Nan Qian; Kiat Hon Lim; Aikseng Ooi; Karl Dykema; Kyle A. Furge; Veerapol Kukongviriyapan; Banchob Sripa; Chaisiri Wongkham

Opisthorchis viverrini–related cholangiocarcinoma (CCA), a fatal bile duct cancer, is a major public health concern in areas endemic for this parasite. We report here whole-exome sequencing of eight O. viverrini–related tumors and matched normal tissue. We identified and validated 206 somatic mutations in 187 genes using Sanger sequencing and selected 15 genes for mutation prevalence screening in an additional 46 individuals with CCA (cases). In addition to the known cancer-related genes TP53 (mutated in 44.4% of cases), KRAS (16.7%) and SMAD4 (16.7%), we identified somatic mutations in 10 newly implicated genes in 14.8–3.7% of cases. These included inactivating mutations in MLL3 (in 14.8% of cases), ROBO2 (9.3%), RNF43 (9.3%) and PEG3 (5.6%), and activating mutations in the GNAS oncogene (9.3%). These genes have functions that can be broadly grouped into three biological classes: (i) deactivation of histone modifiers, (ii) activation of G protein signaling and (iii) loss of genome stability. This study provides insight into the mutational landscape contributing to O. viverrini–related CCA.


Gastroenterology | 2011

Intrinsic Subtypes of Gastric Cancer, Based on Gene Expression Pattern, Predict Survival and Respond Differently to Chemotherapy

Iain Beehuat Tan; Tatiana Ivanova; Kiat Hon Lim; Chee Wee Ong; Niantao Deng; Julian Lee; Sze Huey Tan; Jeanie Wu; Ming Hui Lee; Chia Huey Ooi; Sun Young Rha; Wai Keong Wong; Alex Boussioutas; Khay Guan Yeoh; Jimmy So; Wei Peng Yong; Akira Tsuburaya; Heike I. Grabsch; Han Chong Toh; Steven G. Rozen; Jae Ho Cheong; Sung Hoon Noh; Wei Kiat Wan; Jaffer A. Ajani; Ju Seog Lee; Manuel Salto–Tellez; Patrick Tan

BACKGROUND & AIMS Gastric cancer (GC) is a heterogeneous disease comprising multiple subtypes that have distinct biological properties and effects in patients. We sought to identify new, intrinsic subtypes of GC by gene expression analysis of a large panel of GC cell lines. We tested if these subtypes might be associated with differences in patient survival times and responses to various standard-of-care cytotoxic drugs. METHODS We analyzed gene expression profiles for 37 GC cell lines to identify intrinsic GC subtypes. These subtypes were validated in primary tumors from 521 patients in 4 independent cohorts, where the subtypes were determined by either expression profiling or subtype-specific immunohistochemical markers (LGALS4, CDH17). In vitro sensitivity to 3 chemotherapy drugs (5-fluorouracil, cisplatin, oxaliplatin) was also assessed. RESULTS Unsupervised cell line analysis identified 2 major intrinsic genomic subtypes (G-INT and G-DIF) that had distinct patterns of gene expression. The intrinsic subtypes, but not subtypes based on Laurens histopathologic classification, were prognostic of survival, based on univariate and multivariate analysis in multiple patient cohorts. The G-INT cell lines were significantly more sensitive to 5-fluorouracil and oxaliplatin, but more resistant to cisplatin, than the G-DIF cell lines. In patients, intrinsic subtypes were associated with survival time following adjuvant, 5-fluorouracil-based therapy. CONCLUSIONS Intrinsic subtypes of GC, based on distinct patterns of expression, are associated with patient survival and response to chemotherapy. Classification of GC based on intrinsic subtypes might be used to determine prognosis and customize therapy.


PLOS Genetics | 2009

Oncogenic pathway combinations predict clinical prognosis in gastric cancer.

Chia Huey Ooi; Tatiana Ivanova; Jeanie Wu; Minghui Lee; Iain Beehuat Tan; Jiong Tao; Lindsay C. Ward; Jun Hao Koo; Veena Gopalakrishnan; Yansong Zhu; Lai Ling Cheng; Julian Lee; Sun Young Rha; Hyun Cheol Chung; Kumaresan Ganesan; Jimmy So; Khee Chee Soo; Dennis T. H. Lim; Weng Hoong Chan; Wai Keong Wong; David Bowtell; Khay Guan Yeoh; Heike Grabsch; Alex Boussioutas; Patrick Tan

Many solid cancers are known to exhibit a high degree of heterogeneity in their deregulation of different oncogenic pathways. We sought to identify major oncogenic pathways in gastric cancer (GC) with significant relationships to patient survival. Using gene expression signatures, we devised an in silico strategy to map patterns of oncogenic pathway activation in 301 primary gastric cancers, the second highest cause of global cancer mortality. We identified three oncogenic pathways (proliferation/stem cell, NF-kappaB, and Wnt/beta-catenin) deregulated in the majority (>70%) of gastric cancers. We functionally validated these pathway predictions in a panel of gastric cancer cell lines. Patient stratification by oncogenic pathway combinations showed reproducible and significant survival differences in multiple cohorts, suggesting that pathway interactions may play an important role in influencing disease behavior. Individual GCs can be successfully taxonomized by oncogenic pathway activity into biologically and clinically relevant subgroups. Predicting pathway activity by expression signatures thus permits the study of multiple cancer-related pathways interacting simultaneously in primary cancers, at a scale not currently achievable by other platforms.


Science Translational Medicine | 2012

Methylation Subtypes and Large-Scale Epigenetic Alterations in Gastric Cancer

Hermioni Zouridis; Niantao Deng; Tatiana Ivanova; Yansong Zhu; Wong B; Dan Huang; Yingting Wu; Yonghui Wu; Iain Bee Huat Tan; Natalia Liem; Gopalakrishnan; Luo Q; Jeanie Wu; Minghui Lee; Wei Peng Yong; Liang Goh; Bin Tean Teh; Steve Rozen; Patrick Tan

A large-scale genomic survey of epigenetic alterations in gastric cancer identifies clinically relevant molecular subgroups. The Silent Treatment of Gastric Cancer A new study by Zouridis and colleagues refutes the old adage that “silence is golden”—at least in the realm of gene methylation and epigenetic silencing in cancer. To decipher the effects of “silence” on gastric cancer, the authors analyzed gene methylation patterns in 240 gastric tumors and compared them to those of 94 matched samples of adjacent normal tissue. Gastric cancer is one of the most common types of cancer worldwide—and one of the most deadly, with few effective treatment options available. As a possible source of therapeutic targets, scientists are searching for genetic and epigenetic alteration patterns characteristic of these tumors. Here, the authors extensively characterized methylation patterns in human gastric cancers, which revealed tumor-specific arrangements of hyper- and hypomethylation. Zouridis and colleagues also identified a subset of cancers that fell into the CpG island methylator phenotype (CIMP) subgroup, which is associated with more extensive methylation and lower chances of survival in younger patients. As a possible pharmaceutical intervention, the authors tested the effects of the demethylating drug 5-aza-2′-deoxycytidine in CIMP tumor cell lines and found that their proliferation was significantly decreased when compared with non-CIMP cell lines. A broader analysis of gene regions that undergo modifications in cancers likely will identify new therapeutic targets and corresponding treatments. But for patients with high-risk gastric cancers that fall into the CIMP subgroup, silenced DNA is golden because it serves as a target for currently available drugs. Epigenetic alterations are fundamental hallmarks of cancer genomes. We surveyed the landscape of DNA methylation alterations in gastric cancer by analyzing genome-wide CG dinucleotide (CpG) methylation profiles of 240 gastric cancers (203 tumors and 37 cell lines) and 94 matched normal gastric tissues. Cancer-specific epigenetic alterations were observed in 44% of CpGs, comprising both tumor hyper- and hypomethylation. Twenty-five percent of the methylation alterations were significantly associated with changes in tumor gene expression. Whereas most methylation-expression correlations were negative, several positively correlated methylation-expression interactions were also observed, associated with CpG sites exhibiting atypical transcription start site distances and gene body localization. Methylation clustering of the tumors revealed a CpG island methylator phenotype (CIMP) subgroup associated with widespread hypermethylation, young patient age, and adverse patient outcome in a disease stage–independent manner. CIMP cell lines displayed sensitivity to 5-aza-2′-deoxycytidine, a clinically approved demethylating drug. We also identified long-range regions of epigenetic silencing (LRESs) in CIMP tumors. Combined analysis of the methylation, gene expression, and drug treatment data suggests that certain LRESs may silence specific genes within the region, rather than all genes. Finally, we discovered regions of long-range tumor hypomethylation, associated with increased chromosomal instability. Our results provide insights into the epigenetic impact of environmental and biological agents on gastric epithelial cells, which may contribute to cancer.


Modern Pathology | 2005

Immunohistochemical detection of Ki67 in breast cancer correlates with transcriptional regulation of genes related to apoptosis and cell death

Puay Hoon Tan; Boon-Huat Bay; George Wai-Cheong Yip; Sathiyamoorthy Selvarajan; Patrick Tan; Jeanie Wu; Chee-How Lee; Kuo-Bin Li

Ki67 is a nuclear protein that is tightly linked to the cell cycle. It is a marker of cell proliferation and has been used to stratify good and poor prognostic categories in invasive breast cancer. Its correlation with gene expression patterns has not been fully elucidated. In this study, Ki67 immunohistochemistry using the MIB-1 antibody was performed on sections cut from 21 formalin-fixed, paraffin-embedded invasive breast cancers. Scoring was determined as nil (no immunostaining), low (10% or less immunopositivity) or high (>10% immunoreactive cells) respectively. The relationship of Ki67 immunohistochemical detection with clinicopathologic parameters was evaluated. Using Affymetrix U133A GeneChips, expression profiles for these tumors were generated and correlated with Ki67 immunohistochemical findings. Analysis of variance was used to define genes that were differentially regulated between the groups. Real-time polymerase chain reaction (PCR) was used to confirm the presence of a downregulated gene. Our results showed high, low and nil Ki67 immunostaining in nine (43%), six (28.5%) and six (28.5%) invasive breast cancers respectively, with increased Ki67 protein expression correlating with high histologic grade (P=0.02), mitotic score (P=0.001) and estrogen receptor immunonegativity (P=0.002). Expression profiling trends of the Ki67 gene mirrored the observed proportions of immunostained cells when the Ki67 immunoscore was >10%. Genes related to apoptosis and cell death (bcl2, MAP2K4, TNF10) were noted to be downregulated in tumors that disclosed >40% Ki67 immunostaining (P<0.001). Downregulation of the bcl2 gene was confirmed at the RNA level by real-time RT-PCR. Differential regulation of these genes, especially bcl2, may contribute to the biological nature of clinically more aggressive and highly proliferative breast cancers.


PLOS Genetics | 2008

A Precisely Regulated Gene Expression Cassette Potently Modulates Metastasis and Survival in Multiple Solid Cancers

Kun Yu; Kumaresan Ganesan; Lay Keng Tan; Mirtha Laban; Jeanie Wu; Xiao Dong Zhao; Hongmin Li; Carol Ho-Wing Leung; Yansong Zhu; Chia Lin Wei; Shing Chuan Hooi; Lance D. Miller; Patrick Tan

Successful tumor development and progression involves the complex interplay of both pro- and anti-oncogenic signaling pathways. Genetic components balancing these opposing activities are likely to require tight regulation, because even subtle alterations in their expression may disrupt this balance with major consequences for various cancer-associated phenotypes. Here, we describe a cassette of cancer-specific genes exhibiting precise transcriptional control in solid tumors. Mining a database of tumor gene expression profiles from six different tissues, we identified 48 genes exhibiting highly restricted levels of gene expression variation in tumors (n = 270) compared to nonmalignant tissues (n = 71). Comprising genes linked to multiple cancer-related pathways, the restricted expression of this “Poised Gene Cassette” (PGC) was robustly validated across 11 independent cohorts of ∼1,300 samples from multiple cancer types. In three separate experimental models, subtle alterations in PGC expression were consistently associated with significant differences in metastatic and invasive potential. We functionally confirmed this association in siRNA knockdown experiments of five PGC genes (p53CSV, MAP3K11, MTCH2, CPSF6, and SKIP), which either directly enhanced the invasive capacities or inhibited the proliferation of AGS cancer cells. In primary tumors, similar subtle alterations in PGC expression were also repeatedly associated with clinical outcome in multiple cohorts. Taken collectively, these findings support the existence of a common set of precisely controlled genes in solid tumors. Since inducing small activity changes in these genes may prove sufficient to potently influence various tumor phenotypes such as metastasis, targeting such precisely regulated genes may represent a promising avenue for novel anti-cancer therapies.


Journal of Hepatology | 2008

Bevacizumab and rapamycin induce growth suppression in mouse models of hepatocellular carcinoma

Hung Huynh; Pierce K. H. Chow; Nallasivam Palanisamy; Manuel Salto-Tellez; Boon Cher Goh; Chi Kuen Lee; Anaji Somani; How Sung Lee; Ramnarayanan Kalpana; Kun Yu; Puay Hoon Tan; Jeanie Wu; Richie Soong; Ming Hui Lee; Henley Hor; Khee Chee Soo; Han Chong Toh; Patrick Tan

BACKGROUND/AIMS Hepatocellular carcinoma is a leading cause of global cancer mortality, with standard chemotherapy being minimally effective in prolonging survival. We investigated if combined targeting of vascular endothelial growth factor protein and expression might affect hepatocellular carcinoma growth and angiogenesis. METHODS We treated patient-derived hepatocellular carcinoma xenografts with (i) bevacizumab; (ii) rapamycin; and (iii) bevacizumab plus rapamycin. Western blotting was employed to determine changes in the proteins. Apoptosis, vascular endothelial growth factor expression, microvessel density, and cell proliferation were analyzed by immunohistochemistry. RESULTS Hepatocellular carcinoma growth was inhibited by bevacizumab plus rapamycin treatment to a significantly greater degree than bevacizumab or rapamycin monotherapy. Reductions in tumor growth by bevacizumab plus rapamycin were associated with inhibition of downstream targets of the mammalian target-of-rapamycin pathway, reductions in vascular endothelial growth factor expression, and tumor microvessel density. Potentially additive effects of bevacizumab plus rapamycin included reductions in vascular endothelial growth factor expression, cyclin D1, and cyclin B1. In an intra-peritoneal model of hepatocellular carcinoma, bevacizumab plus rapamycin potently inhibited both intra-liver and intra-abdominal tumor growth, reduced ascites levels, and significantly prolonged mouse survival. CONCLUSIONS Bevacizumab and rapamycin, which are both clinically approved drugs, may represent a novel molecularly-targeted combination treatment for hepatocellular carcinoma.


Cancer Research | 2008

Inhibition of gastric cancer invasion and metastasis by PLA2G2A, a novel β-catenin/TCF target gene

Kumaresan Ganesan; Tatiana Ivanova; Yonghui Wu; Vikneswari Rajasegaran; Jeanie Wu; Ming Hui Lee; Kun Yu; Sun Young Rha; Hyun Cheol Chung; Bauke Ylstra; Gerrit A. Meijer; Kon Oi Lian; Heike Grabsch; Patrick Tan

Elevated expression of the PLA2G2A phospholipase in gastric cancer (GC) is associated with improved patient survival. To elucidate function and regulation of PLA2G2A in GC, we analyzed a panel of GC cell lines. PLA2G2A was specifically expressed in lines with constitutive Wnt activity, implicating beta-catenin-dependent Wnt signaling as a major upstream regulator of PLA2G2A expression. The invasive ability of PLA2G2A-expressing AGS cells was enhanced by PLA2G2A silencing, whereas cellular migration in non-PLA2G2A-expressing N87 cells was inhibited by enforced PLA2G2A expression, indicating that PLA2G2A is both necessary and sufficient to function as an inhibitor of GC invasion in vitro. We provide evidence that antiinvasive effect of PLA2G2A occurs, at least in part, through its ability to inhibit the S100A4 metastasis mediator gene. Consistent with its invasion inhibitor role, PLA2G2A expression was elevated in primary gastric, colon, and prostrate early-stage tumors, but was decreased in metastatic and late-stage tumors. There was a strong association between PLA2G2A promoter methylation status and PLA2G2A expression, suggesting that the loss of PLA2G2A expression in late-stage cancers may be due to epigenetic silencing. Supporting this, among the non-PLA2G2A-expressing lines, pharmacologic inhibition of epigenetic silencing reactivated PLA2G2A in Wnt-active lines, but in non-Wnt-active lines, a combination of Wnt hyperactivation and inhibition of epigenetic silencing were both required for PLA2G2A reactivation. Our results highlight the complexity of PLA2G2A regulation and provide functional evidence for PLA2G2A as an important regulator of invasion and metastasis in GC.


Gut | 2013

Comprehensive genomic meta-analysis identifies intra-tumoural stroma as a predictor of survival in patients with gastric cancer

Yonghui Wu; Heike I. Grabsch; Tatiana Ivanova; Iain Beehuat Tan; Jacinta Murray; Chia Huey Ooi; Alexander Wright; Nicholas P. West; Gordon Hutchins; Jeanie Wu; Minghui Lee; Julian Lee; Jun Hao Koo; Khay Guan Yeoh; Nicole C.T. van Grieken; Bauke Ylstra; Sun Young Rha; Jaffer A. Ajani; Jae Ho Cheong; Sung Hoon Noh; Kiat Hon Lim; Alex Boussioutas; Ju Seog Lee; Patrick Tan

Objective Gastric adenocarcinoma (gastric cancer, GC) is a major cause of global cancer mortality. Identifying molecular programmes contributing to GC patient survival may improve our understanding of GC pathogenesis, highlight new prognostic factors and reveal novel therapeutic targets. The authors aimed to produce a comprehensive inventory of gene expression programmes expressed in primary GCs, and to identify those expression programmes significantly associated with patient survival. Design Using a network-modelling approach, the authors performed a large-scale meta-analysis of GC transcriptome data integrating 940 gastric transcriptomes from multiple independent patient cohorts. The authors analysed a training set of 428 GCs and 163 non-malignant gastric samples, and a validation set of 288 GCs and 61 non-malignant gastric samples. Results The authors identified 178 gene expression programmes (‘modules’) expressed in primary GCs, which were associated with distinct biological processes, chromosomal location patterns, cis-regulatory motifs and clinicopathological parameters. Expression of a transforming growth factor β (TGF-β) signalling associated ‘super-module’ of stroma-related genes consistently predicted patient survival in multiple GC validation cohorts. The proportion of intra-tumoural stroma, quantified by morphometry in tissue sections from gastrectomy specimens, was also significantly associated with stromal super-module expression and GC patient survival. Conclusion Stromal gene expression predicts GC patient survival in multiple independent cohorts, and may be closely related to the intra-tumoural stroma proportion, a specific morphological GC phenotype. These findings suggest that therapeutic approaches targeting the GC stroma may merit evaluation.

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Patrick Tan

National University of Singapore

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Minghui Lee

National University of Singapore

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Chia Huey Ooi

National University of Singapore

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Iain Beehuat Tan

National University of Singapore

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Tatiana Ivanova

National University of Singapore

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Khay Guan Yeoh

National University of Singapore

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Niantao Deng

National University of Singapore

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Ming Hui Lee

National University of Singapore

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Yansong Zhu

National University of Singapore

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