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Dive into the research topics where Patrick Tan is active.

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Featured researches published by Patrick Tan.


Science | 2008

Genomic loss of microRNA-101 leads to overexpression of histone methyltransferase EZH2 in cancer.

Sooryanarayana Varambally; Qi Cao; Ram Shankar Mani; Sunita Shankar; Xiaosong Wang; Bushra Ateeq; Bharathi Laxman; Xuhong Cao; Xiaojun Jing; Kalpana Ramnarayanan; J. Chad Brenner; Jindan Yu; Jung Kim; Bo Han; Patrick Tan; Chandan Kumar-Sinha; Robert J. Lonigro; Nallasivam Palanisamy; Christopher A. Maher; Arul M. Chinnaiyan

Enhancer of zeste homolog 2 (EZH2) is a mammalian histone methyltransferase that contributes to the epigenetic silencing of target genes and regulates the survival and metastasis of cancer cells. EZH2 is overexpressed in aggressive solid tumors by mechanisms that remain unclear. Here we show that the expression and function of EZH2 in cancer cell lines are inhibited by microRNA-101 (miR-101). Analysis of human prostate tumors revealed that miR-101 expression decreases during cancer progression, paralleling an increase in EZH2 expression. One or both of the two genomic loci encoding miR-101 were somatically lost in 37.5% of clinically localized prostate cancer cells (6 of 16) and 66.7% of metastatic disease cells (22 of 33). We propose that the genomic loss of miR-101 in cancer leads to overexpression of EZH2 and concomitant dysregulation of epigenetic pathways, resulting in cancer progression.


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 Medicine | 2012

A common BIM deletion polymorphism mediates intrinsic resistance and inferior responses to tyrosine kinase inhibitors in cancer

King Pan Ng; Axel M. Hillmer; Charles Chuah; Wen Chun Juan; Tun Kiat Ko; Audrey S.M. Teo; Pramila Ariyaratne; Naoto Takahashi; Kenichi Sawada; Yao Fei; Sheila Soh; Wah Heng Lee; John Huang; John Carson Allen; Xing Yi Woo; Niranjan Nagarajan; Vikrant Kumar; Anbupalam Thalamuthu; Wan Ting Poh; Ai Leen Ang; Hae Tha Mya; Gee Fung How; Li Yi Yang; Liang Piu Koh; Balram Chowbay; Chia-Tien Chang; Veera S. Nadarajan; Wee Joo Chng; Hein Than; Lay Cheng Lim

Tyrosine kinase inhibitors (TKIs) elicit high response rates among individuals with kinase-driven malignancies, including chronic myeloid leukemia (CML) and epidermal growth factor receptor–mutated non–small-cell lung cancer (EGFR NSCLC). However, the extent and duration of these responses are heterogeneous, suggesting the existence of genetic modifiers affecting an individuals response to TKIs. Using paired-end DNA sequencing, we discovered a common intronic deletion polymorphism in the gene encoding BCL2-like 11 (BIM). BIM is a pro-apoptotic member of the B-cell CLL/lymphoma 2 (BCL2) family of proteins, and its upregulation is required for TKIs to induce apoptosis in kinase-driven cancers. The polymorphism switched BIM splicing from exon 4 to exon 3, which resulted in expression of BIM isoforms lacking the pro-apoptotic BCL2-homology domain 3 (BH3). The polymorphism was sufficient to confer intrinsic TKI resistance in CML and EGFR NSCLC cell lines, but this resistance could be overcome with BH3-mimetic drugs. Notably, individuals with CML and EGFR NSCLC harboring the polymorphism experienced significantly inferior responses to TKIs than did individuals without the polymorphism (P = 0.02 for CML and P = 0.027 for EGFR NSCLC). Our results offer an explanation for the heterogeneity of TKI responses across individuals and suggest the possibility of personalizing therapy with BH3 mimetics to overcome BIM-polymorphism–associated TKI resistance.


Journal of Biological Chemistry | 2008

Profiling microRNA expression in hepatocellular carcinoma reveals microRNA-224 up-regulation and apoptosis inhibitor-5 as a microRNA-224-specific target

Yu Wang; Alvin Tc Lee; Joel Z. I. Ma; Jingbo Wang; Jianwei Ren; Yuchen Yang; Erwin Tantoso; Kuo-Bin Li; London L. P. J. Ooi; Patrick Tan; Caroline G. Lee

Like other cancers, aberrant gene regulation features significantly in hepatocellular carcinoma (HCC). MicroRNAs (miRNAs) were recently found to regulate gene expression at the post-transcriptional/translational levels. The expression profiles of 157 miRNAs were examined in 19 HCC patients, and 19 up-regulated and 3 down-regulated miRNAs were found to be associated with HCC. Putative gene targets of these 22 miRNAs were predicted in silico and were significantly enriched in 34 biological pathways, most of which are frequently dysregulated during carcinogenesis. Further characterization of microRNA-224 (miR-224), the most significantly up-regulated miRNA in HCC patients, revealed that miR-224 increases apoptotic cell death as well as proliferation and targets apoptosis inhibitor-5 (API-5) to inhibit API-5 transcript expression. Significantly, miR-224 expression was found to be inversely correlated with API-5 expression in HCC patients (p < 0.05). Hence, our findings define a true in vivo target of miR-224 and reaffirm the important role of miRNAs in the dysregulation of cellular processes that may ultimately lead to tumorigenesis.


Nature Medicine | 2015

Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes

Razvan Cristescu; Jeeyun Lee; Michael Nebozhyn; Kyoung-Mee Kim; Jason C. Ting; Swee Seong Wong; Jiangang Liu; Yong Gang Yue; Jian Wang; Kun Yu; Xiang S. Ye; In-Gu Do; Shawn Liu; Lara Gong; Jake Fu; Jason Gang Jin; Min Gew Choi; Tae Sung Sohn; Joon-Ho Lee; Jae Moon Bae; Seung Tae Kim; Se Hoon Park; Insuk Sohn; Sin-Ho Jung; Patrick Tan; Ronghua Chen; James C. Hardwick; Won Ki Kang; Mark Ayers; Dai Hongyue

Gastric cancer, a leading cause of cancer-related deaths, is a heterogeneous disease. We aim to establish clinically relevant molecular subtypes that would encompass this heterogeneity and provide useful clinical information. We use gene expression data to describe four molecular subtypes linked to distinct patterns of molecular alterations, disease progression and prognosis. The mesenchymal-like type includes diffuse-subtype tumors with the worst prognosis, the tendency to occur at an earlier age and the highest recurrence frequency (63%) of the four subtypes. Microsatellite-unstable tumors are hyper-mutated intestinal-subtype tumors occurring in the antrum; these have the best overall prognosis and the lowest frequency of recurrence (22%) of the four subtypes. The tumor protein 53 (TP53)-active and TP53-inactive types include patients with intermediate prognosis and recurrence rates (with respect to the other two subtypes), with the TP53-active group showing better prognosis. We describe key molecular alterations in each of the four subtypes using targeted sequencing and genome-wide copy number microarrays. We validate these subtypes in independent cohorts in order to provide a consistent and unified framework for further clinical and preclinical translational research.


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.


Nature Genetics | 2013

Exome sequencing identifies distinct mutational patterns in liver fluke–related and non-infection-related bile duct cancers

Waraporn Chan-on; Maarja-Liisa Nairismagi; Choon Kiat Ong; Weng Khong Lim; Simona Dima; Chawalit Pairojkul; Kiat Hon Lim; John R. McPherson; Ioana Cutcutache; Hong Lee Heng; London L. P. J. Ooi; Alexander Y. F. Chung; Pierce K. H. Chow; Peng Chung Cheow; Ser Yee Lee; Su Pin Choo; Iain Bee Huat Tan; Dan G. Duda; Anca Nastase; Swe Swe Myint; Bernice Huimin Wong; Anna Gan; Vikneswari Rajasegaran; Cedric Chuan Young Ng; Sanjanaa Nagarajan; Apinya Jusakul; Shenli Zhang; Priya Vohra; Willie Yu; Dachuan Huang

The impact of different carcinogenic exposures on the specific patterns of somatic mutation in human tumors remains unclear. To address this issue, we profiled 209 cholangiocarcinomas (CCAs) from Asia and Europe, including 108 cases caused by infection with the liver fluke Opisthorchis viverrini and 101 cases caused by non–O. viverrini–related etiologies. Whole-exome sequencing (n = 15) and prevalence screening (n = 194) identified recurrent somatic mutations in BAP1 and ARID1A, neither of which, to our knowledge, has previously been reported to be mutated in CCA. Comparisons between intrahepatic O. viverrini–related and non–O. viverrini–related CCAs demonstrated statistically significant differences in mutation patterns: BAP1, IDH1 and IDH2 were more frequently mutated in non–O. viverrini CCAs, whereas TP53 mutations showed the reciprocal pattern. Functional studies demonstrated tumor suppressive functions for BAP1 and ARID1A, establishing the role of chromatin modulators in CCA pathogenesis. These findings indicate that different causative etiologies may induce distinct somatic alterations, even within the same tumor type.


Cell | 1998

MAP kinase signaling specificity mediated by the LIN-1 Ets/LIN-31 WH transcription factor complex during C. elegans vulval induction.

Patrick Tan; Mark R. Lackner; Stuart K. Kim

The let-23 receptor/mpk-1 MAP kinase signaling pathway induces the vulva in C. elegans. We show that MPK-1 directly regulates both the LIN-31 winged-helix and the LIN-1 Ets transcription factors to specify the vulval cell fate. lin-31 and lin-1 act genetically downstream of mpk-1, and both proteins can be directly phosphorylated by MAP kinase. LIN-31 binds to LIN-1, and the LIN-1/LIN-31 complex inhibits vulval induction. Phosphorylation of LIN-31 by MPK-1 disrupts the LIN-1/LIN-31 complex, relieving vulval inhibition. Phosphorylated LIN-31 may also act as a transcriptional activator, promoting vulval cell fates. LIN-31 is a vulval-specific effector of MPK-1, while LIN-1 acts as a general effector. The partnership of tissue-specific and general effectors may confer specificity onto commonly used signaling pathways, creating distinct tissue-specific outcomes.


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.

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Catherine Ong

DSO National Laboratories

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Jing Wang

National University of Singapore

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Grace C. Chang

DSO National Laboratories

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Joey Chan

Khoo Teck Puat Hospital

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