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Dive into the research topics where Siqun Lilly Zheng is active.

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Featured researches published by Siqun Lilly Zheng.


Nature Genetics | 2008

Evidence for two independent prostate cancer risk-associated loci in the HNF1B gene at 17q12.

Jielin Sun; Siqun Lilly Zheng; Fredrik Wiklund; Sarah D. Isaacs; Lina Purcell; Zhengrong Gao; Fang-Chi Hsu; Seong Tae Kim; Wennuan Liu; Yi Zhu; Pär Stattin; Hans-Olov Adami; Kathleen E. Wiley; Latchezar Dimitrov; Jishan Sun; Tao Li; Aubrey R. Turner; Tamara S. Adams; Jan Adolfsson; Jan-Erik Johansson; James Lowey; Bruce J. Trock; Alan W. Partin; Patrick C. Walsh; Jeffrey M. Trent; David Duggan; John D. Carpten; Bao Li Chang; Henrik Grönberg; William B. Isaacs

We carried out a fine-mapping study in the HNF1B gene at 17q12 in two study populations and identified a second locus associated with prostate cancer risk, ∼26 kb centromeric to the first known locus (rs4430796); these loci are separated by a recombination hot spot. We confirmed the association with a SNP in the second locus (rs11649743) in five additional populations, with P = 1.7 × 10−9 for an allelic test of the seven studies combined. The association at each SNP remained significant after adjustment for the other SNP.


Proceedings of the National Academy of Sciences of the United States of America | 2010

Inherited genetic variant predisposes to aggressive but not indolent prostate cancer

Jianfeng Xu; Siqun Lilly Zheng; Sarah D. Isaacs; Kathleen E. Wiley; Fredrik Wiklund; Jielin Sun; A. Karim Kader; Ge Li; Lina Purcell; Seong Tae Kim; Fang-Chi Hsu; Pär Stattin; Jonas Hugosson; Jan Adolfsson; Patrick C. Walsh; Jeffrey M. Trent; David Duggan; John D. Carpten; Henrik Grönberg; William B. Isaacs

Autopsy studies suggest that most aging men will develop lesions that, if detected clinically, would be diagnosed as prostate cancer (PCa). Most of these cancers are indolent and remain localized; however, a subset of PCa is aggressive and accounts for more than 27,000 deaths in the United States annually. Identification of factors specifically associated with risk for more aggressive PCa is urgently needed to reduce overdiagnosis and overtreatment of this common disease. To search for such factors, we compared the frequencies of SNPs among PCa patients who were defined as having either more aggressive or less aggressive disease in four populations examined in the Genetic Markers of Susceptibility (CGEMS) study performed by the National Cancer Institute. SNPs showing possible associations with disease severity were further evaluated in an additional three independent study populations from the United States and Sweden. In total, we studied 4,829 and 12,205 patients with more and less aggressive disease, respectively. We found that the frequency of the TT genotype of SNP rs4054823 at 17p12 was consistently higher among patients with more aggressive compared with less aggressive disease in each of the seven populations studied, with an overall P value of 2.1 × 10−8 under a recessive model, exceeding the conservative genome-wide significance level. The difference in frequency was largest between patients with high-grade, non–organ-confined disease compared with those with low-grade, organ-confined disease. This study demonstrates that inherited variants predisposing to aggressive but not indolent PCa exist in the genome, and suggests that the clinical potential of such variants as potential early markers for risk of aggressive PCa should be evaluated.


Carcinogenesis | 2011

Human polymorphisms at long non-coding RNAs (lncRNAs) and association with prostate cancer risk

Guangfu Jin; Jielin Sun; Sarah D. Isaacs; Kathleen E. Wiley; Seong Tae Kim; Lisa W. Chu; Zheng Zhang; Hui Zhao; Siqun Lilly Zheng; William B. Isaacs; Jianfeng Xu

Long non-coding RNAs (lncRNAs), representing a large proportion of non-coding transcripts across the human genome, are evolutionally conserved and biologically functional. At least one-third of the phenotype-related loci identified by genome-wide association studies (GWAS) are mapped to non-coding intervals. However, the relationships between phenotype-related loci and lncRNAs are largely unknown. Utilizing the 1000 Genomes data, we compared single-nucleotide polymorphisms (SNPs) within the sequences of lncRNA and protein-coding genes as defined in the Ensembl database. We further annotated the phenotype-related SNPs reported by GWAS at lncRNA intervals. Because prostate cancer (PCa) risk-related loci were enriched in lncRNAs, we then performed meta-analysis of two existing GWAS for discovery and an additional sample set for replication, revealing PCa risk-related loci at lncRNA regions. The SNP density in regions of lncRNA was similar to that in protein-coding regions, but they were less polymorphic than surrounding regions. Among the 1998 phenotype-related SNPs identified by GWAS, 52 loci were located directly in lncRNA intervals with a 1.5-fold enrichment compared with the entire genome. More than a 5-fold enrichment was observed for eight PCa risk-related loci in lncRNA genes. We also identified a new PCa risk-related SNP rs3787016 in an lncRNA region at 19q13 (per allele odds ratio = 1.19; 95% confidence interval: 1.11-1.27) with P value of 7.22 × 10(-7). lncRNAs may be important for interpreting and mining GWAS data. However, the catalog of lncRNAs needs to be better characterized in order to fully evaluate the relationship of phenotype-related loci with lncRNAs.


Genes, Chromosomes and Cancer | 2006

Comprehensive assessment of DNA copy number alterations in human prostate cancers using Affymetrix 100K SNP mapping array

Wennuan Liu; Bao-Li Chang; Jurga Sauvageot; Latchezar Dimitrov; Marta Gielzak; Tao Li; Guifang Yan; Jishan Sun; Jielin Sun; Tamara S. Adams; Aubrey R. Turner; Jin Woo Kim; Deborah A. Meyers; Siqun Lilly Zheng; William B. Isaacs; Jianfeng Xu

Although multiple recurrent chromosomal alterations have been identified in prostate cancer cells, the specific genes driving the apparent selection of these changes remain largely unknown. In part, this uncertainty is due to the limited resolution of the techniques used to detect these alterations. In this study, we applied a high‐resolution genome‐wide method, Affymetrix 100K SNP mapping array, to screen for somatic DNA copy number (CN) alterations among 22 pairs of samples from primary prostate cancers and matched nonmalignant tissues. We detected 355 recurrent deletions and 223 recurrent gains, many of which were novel. As expected, the sizes of novel alterations tend to be smaller. Importantly, among tumors with increasing grade, Gleason sum 6, 7, and 8, we found a significant trend of larger number of alterations in the tumors with higher grade. Overall, gains are significantly more likely to occur within genes (74%) than are deletions (49%). However, when we looked at the most frequent CN alterations, defined as those in ≥4 subjects, we observed that both gains (85%) and deletions (57%) occur preferentially within genes. An example of a novel, recurrent alteration observed in this study was a deletion between the ERG and TMPRSS2 genes on chromosome 21, presumably related to the recently identified fusion transcripts from these two genes. Results from this study provide a basis for a systematic and comprehensive cataloging of CN alterations associated with grades of prostate cancer, and the subsequent identification of specific genes that associated with initiation and progression of the disease. This article contains supplementary material available via the Internet at http://www.interscience.wiley.com/jpages/1045‐2257/suppmat.


International Journal of Cancer | 2008

Genetic variation in the toll-like receptor gene cluster (TLR10-TLR1-TLR6) and prostate cancer risk

Victoria L. Stevens; Ann W. Hsing; Jeffrey T. Talbot; Siqun Lilly Zheng; Jielin Sun; Jinbo Chen; Michael J. Thun; Jianfeng Xu; Eugenia E. Calle; Carmen Rodriguez

Toll‐like receptors (TLRs) are key players in the innate immune system and initiate the inflammatory response to foreign pathogens such as bacteria, fungi and viruses. The proposed role of chronic inflammation in prostate carcinogenesis has prompted investigation into the association of common genetic variation in TLRs with the risk of this cancer. We investigated the role of common SNPs in a gene cluster encoding the TLR10, TLR6 and TLR1 proteins in prostate cancer etiology among 1,414 cancer cases and 1,414 matched controls from the Cancer Prevention Study II Nutrition Cohort. Twenty‐eight SNPs, which included the majority of the common nonsynonymous SNPs in the 54‐kb gene region and haplotype‐tagging SNPs that defined 5 specific haplotype blocks, were genotyped and their association with prostate cancer risk determined. Two SNPs in TLR10 [I369L (rs11096955) and N241H (rs11096957)] and 4 SNPs in TLR1 [N248S (rs4833095), S26L (rs5743596), rs5743595 and rs5743551] were associated with a statistically significant reduced risk of prostate cancer of 29–38% (for the homozygous variant genotype). The association of these SNPs was similar when the analysis was limited to cases with advanced prostate cancer. Haplotype analysis and linkage disequilibrium findings revealed that the 6 associated SNPs were not independent and represent a single association with reduced prostate cancer risk (OR = 0.55, 95% CI: 0.33, 0.90). Our study suggest that a common haplotype in the TLR10‐TLR1‐TLR6 gene cluster influences prostate cancer risk and clearly supports the need for further investigation of TLR genes in other populations.


Cancer Epidemiology, Biomarkers & Prevention | 2008

Polymorphisms in Angiogenesis-Related Genes and Prostate Cancer

Eric J. Jacobs; Ann W. Hsing; Elizabeth B. Bain; Victoria L. Stevens; Yiting Wang; Jinbo Chen; Stephen J. Chanock; Siqun Lilly Zheng; Jianfeng Xu; Michael J. Thun; Eugenia E. Calle; Carmen Rodriguez

Background: Angiogenesis is required for development and progression of prostate cancer. Potentially functional single nucleotide polymorphisms (SNP) in genes important in prostate angiogenesis (VEGF, HIF1A, and NOS3) have previously been associated with risk or severity of prostate cancer. Methods: Prostate cancer cases (n = 1,425) and controls (n = 1,453) were selected from the Cancer Prevention Study II Nutrition Cohort. We examined associations between 58 SNPs in nine angiogenesis-related candidate genes (EGF, LTA, HIF1A, HIF1AN, MMP2, MMP9, NOS2A, NOS3, VEGF) and risk of overall and advanced prostate cancer. Unconditional logistic regression was used to estimate odds ratios, adjusted for matching factors. Results: Our results did not replicate previously observed associations with SNPs in VEGF, HIF1A, or NOS3, nor did we observe associations with SNPs in EGF, LTA, HIF1AN, MMP9, or NOS2A. In the MMP2 gene, three intronic SNPs, all in linkage disequilibrium, were associated with overall and advanced prostate cancer (for overall prostate cancer, Ptrend = 0.01 for rs1477017, Ptrend = 0.01 for rs17301608, Ptrend = 0.02 for rs11639960). However, two of these SNPs (rs17301608 and rs11639960) were examined and were not associated with prostate cancer in a recent genome-wide association study using prostate cancer cases and controls from the Prostate, Lung, Colorectal, and Ovary study cohort. Furthermore, when we pooled our results for these two SNPs with those from the Prostate, Lung, Colorectal, and Ovary cohort; neither SNP was associated with prostate cancer. Conclusion: None of the SNPs examined seem likely to be importantly associated with risk of overall or advanced prostate cancer. (Cancer Epidemiol Biomarkers Prev 2008;17(4):972–7)


Cancer Epidemiology, Biomarkers & Prevention | 2011

Genetic Variants in the LEPR, CRY1, RNASEL, IL4, and ARVCF Genes Are Prognostic Markers of Prostate Cancer-Specific Mortality

Daniel W. Lin; Liesel M. FitzGerald; Rong Fu; Erika M. Kwon; Siqun Lilly Zheng; Suzanne Kolb; Fredrik Wiklund; P. Stattin; William B. Isaacs; Jianfeng Xu; Elaine A. Ostrander; Ziding Feng; Henrik Grönberg; Janet L. Stanford

Background: Prostate cancer is the second leading cause of cancer-related deaths in men, accounting for more than 30,000 deaths annually. The purpose of this study was to test whether variation in selected candidate genes in biological pathways of interest for prostate cancer progression could help distinguish patients at higher risk for fatal prostate cancer. Methods: In this hypothesis-driven study, we genotyped 937 single nucleotide polymorphisms (SNPs) in 156 candidate genes in a population-based cohort of 1,309 prostate cancer patients. We identified 22 top-ranking SNPs (P ≤ 0.01, FDR ≤ 0.70) associated with prostate cancer-specific mortality (PCSM). A subsequent validation study was completed in an independent population-based cohort of 2,875 prostate cancer patients. Results: Five SNPs were validated (P ≤ 0.05) as being significantly associated with PCSM, one each in the LEPR, CRY1, RNASEL, IL4, and ARVCF genes. Compared with patients with 0 to 2 of the at-risk genotypes those with 4 to 5 at-risk genotypes had a 50% (95% CI, 1.2–1.9) higher risk of PCSM and risk increased with the number of at-risk genotypes carried (Ptrend = 0.001), adjusting for clinicopathologic factors known to influence prognosis. Conclusion: Five genetic markers were validated to be associated with lethal prostate cancer. Impact: This is the first population-based study to show that germline genetic variants provide prognostic information for prostate cancer-specific survival. The clinical utility of this five-SNP panel to stratify patients at higher risk for adverse outcomes should be evaluated. Cancer Epidemiol Biomarkers Prev; 20(9); 1928–36. ©2011 AACR.


Cancer Epidemiology, Biomarkers & Prevention | 2009

Prostate Cancer Risk Associated Loci in African Americans

Jianfeng Xu; Adam S. Kibel; Jennifer J. Hu; Aubrey R. Turner; Kristen Pruett; Siqun Lilly Zheng; Jielin Sun; Sarah D. Isaacs; Kathleen E. Wiley; Seong Tae Kim; Fang-Chi Hsu; William Wu; Frank M. Torti; Patrick C. Walsh; Bao Li Chang; William B. Isaacs

Four genome-wide association studies, all in populations of European descent, have identified 20 independent single nucleotide polymorphisms (SNP) in 20 regions that are associated with prostate cancer risk. We evaluated these 20 SNPs in a combined African American (AA) study, with 868 prostate cancer patients and 878 control subjects. For 17 of these 20 SNPs, implicated risk-associated alleles were found to be more common in these AA cases than controls, significantly more than expected under the null hypothesis (P = 0.03). Two of these 17 SNPs, located at 3p12, and region 2 at 8q24, were significantly associated with prostate cancer risk (P < 0.05), and only SNP rs16901979 at region 2 of 8q24 remained significant after accounting for 20 tests. A multivariate analysis of additional SNPs across the broader 8q24 region revealed three independent prostate cancer risk-associated SNPs, including rs16901979, rs13254738, and rs10086908. The first two SNPs were ∼20 kb apart and the last SNP, a novel finding from this study, was ∼100 kb centromeric to the first two SNPs. These results suggest that a systematic evaluation of regions harboring known prostate cancer risk SNPs implicated in other races is an efficient approach to identify risk alleles for AA. However, studies with larger numbers of AA subjects are needed, and this will likely require a major collaborative effort to combine multiple AA study populations. (Cancer Epidemiol Biomarkers Prev 2009;18(7):2145–9)


The Prostate | 2009

Association of 17 Prostate Cancer Susceptibility Loci with Prostate Cancer Risk in Chinese Men

Siqun Lilly Zheng; Ann W. Hsing; Jielin Sun; Lisa W. Chu; Kai Yu; Ge Li; Zhengrong Gao; Seong Tae Kim; William B. Isaacs; Ming Chang Shen; Yu-Tang Gao; Robert N. Hoover; Jianfeng Xu

Several genome‐wide association studies (GWAS) in populations of European descent have identified more than a dozen common genetic variants that are associated with prostate cancer risk.


Cancer Epidemiology, Biomarkers & Prevention | 2012

Variation in IL10 and Other Genes Involved in the Immune Response and in Oxidation and Prostate Cancer Recurrence

Paul J. Dluzniewski; Ming Hsi Wang; Siqun Lilly Zheng; Angelo M. De Marzo; Charles G. Drake; Helen L. Fedor; Alan W. Partin; Misop Han; M. Daniele Fallin; Jianfeng Xu; William B. Isaacs; Elizabeth A. Platz

Background: To evaluate the association of variation in genes involved in immune response, including IL10, production and detoxification of reactive oxygen species, and repair of oxidative DNA damage with risk of recurrence after surgery for localized prostate cancer. Methods: We conducted a nested case-control study of men who had a radical prostatectomy in 1993 to 2001. A total of 484 recurrence cases and 484 controls were matched on age, race, and pathologic stage and grade. Germline DNA was extracted from paraffin-embedded unaffected lymph nodes. We genotyped candidate single-nucleotide polymorphisms (SNP) in IL10, CRP, GPX1, GSR, GSTP1, hOGG1, IL1B, IL1RN, IL6, IL8, MPO, NOS2, NOS3, SOD1, SOD2, SOD3, TLR4, and TNF and tagging SNPs in IL10, CRP, GSR, IL1RN, IL6, NOS2, and NOS3. We used conditional logistic regression to estimate OR and 95% confidence intervals (CI). Results: The minor allele (A) in IL10 rs1800872, known to produce less interleukin-10 (IL-10), was associated with a higher risk of recurrence (OR = 1.76, 95% CI: 1.00–3.10), and the minor allele (G) in rs1800896, known to produce more IL-10, was associated with a lower risk of recurrence (OR = 0.66, 95% CI: 0.48–0.91). We also observed associations for candidate SNPs in CRP, GSTP1, and IL1B. A common IL10 haplotype and 2 common NOS2 haplotypes were associated with recurrence. Conclusion: Variation in IL10, CRP, GSTP1, IL1B, and NOS2 was associated with prostate cancer recurrence independent of pathologic prognostic factors. Impact: This study supports that genetic variation in immune response and oxidation influence prostate cancer recurrence risk and suggests genetic variation in these pathways may inform prognosis. Cancer Epidemiol Biomarkers Prev; 21(10); 1774–82. ©2012 AACR.

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William B. Isaacs

Johns Hopkins University School of Medicine

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Jielin Sun

Wake Forest University

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Wennuan Liu

Wake Forest University

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Jin Woo Kim

Wake Forest University

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Jishan Sun

Wake Forest University

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