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Dive into the research topics where Sabapathy P. Balasubramanian is active.

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Featured researches published by Sabapathy P. Balasubramanian.


Nature Genetics | 2007

A common coding variant in CASP8 is associated with breast cancer risk

Angela Cox; Alison M. Dunning; Montserrat Garcia-Closas; Sabapathy P. Balasubramanian; Malcolm Reed; Karen A. Pooley; Serena Scollen; Caroline Baynes; Bruce A.J. Ponder; Stephen J. Chanock; Jolanta Lissowska; Louise A. Brinton; Beata Peplonska; Melissa C. Southey; John L. Hopper; Margaret McCredie; Graham G. Giles; Olivia Fletcher; Nichola Johnson; Isabel dos Santos Silva; Lorna Gibson; Stig E. Bojesen; Børge G. Nordestgaard; Christen K. Axelsson; Diana Torres; Ute Hamann; Christina Justenhoven; Hiltrud Brauch; Jenny Chang-Claude; Silke Kropp

The Breast Cancer Association Consortium (BCAC) has been established to conduct combined case-control analyses with augmented statistical power to try to confirm putative genetic associations with breast cancer. We genotyped nine SNPs for which there was some prior evidence of an association with breast cancer: CASP8 D302H (rs1045485), IGFBP3 −202 C → A (rs2854744), SOD2 V16A (rs1799725), TGFB1 L10P (rs1982073), ATM S49C (rs1800054), ADH1B 3′ UTR A → G (rs1042026), CDKN1A S31R (rs1801270), ICAM5 V301I (rs1056538) and NUMA1 A794G (rs3750913). We included data from 9–15 studies, comprising 11,391–18,290 cases and 14,753–22,670 controls. We found evidence of an association with breast cancer for CASP8 D302H (with odds ratios (OR) of 0.89 (95% confidence interval (c.i.): 0.85–0.94) and 0.74 (95% c.i.: 0.62–0.87) for heterozygotes and rare homozygotes, respectively, compared with common homozygotes; Ptrend = 1.1 × 10−7) and weaker evidence for TGFB1 L10P (OR = 1.07 (95% c.i.: 1.02–1.13) and 1.16 (95% c.i.: 1.08–1.25), respectively; Ptrend = 2.8 × 10−5). These results demonstrate that common breast cancer susceptibility alleles with small effects on risk can be identified, given sufficiently powerful studies.NOTE: In the version of this article initially published, there was an error that affected the calculations of the odds ratios, confidence intervals, between-study heterogeneity, trend test and test for association for SNP ICAM5 V301I in Table 1 (ICAM5 V301I); genotype counts in Supplementary Table 2 (ICAM5; ICR_FBCS and Kuopio studies) and minor allele frequencies, trend test and odds ratios for heterozygotes and rare homozygotes in Supplementary Table 3 (ICAM5; ICR_FBCS and Kuopio studies). The errors in Table 1 have been corrected in the PDF version of the article. The errors in supplementary information have been corrected online.


Annals of Surgery | 2006

Standards of Reporting of Randomized Controlled Trials in General Surgery: Can We Do Better?

Sabapathy P. Balasubramanian; Martin Wiener; Zeiad Alshameeri; Ravindranath Tiruvoipati; Diana Elbourne; Malcolm Reed

Objective:To evaluate the quality of reporting of surgical randomized controlled trials published in surgical and general medical journals using Jadad score, allocation concealment, and adherence to CONSORT guidelines and to identify factors associated with good quality. Summary Background Data:Randomized controlled trials (RCTs) provide the best evidence about the relative effectiveness of different interventions. Improper methodology and reporting of RCTs can lead to erroneous conclusions about treatment effects, which may mislead decision-making in health care at all levels. Methods:Information was obtained on RCTs published in 6 general surgical and 4 general medical journals in the year 2003. The quality of reporting of RCTs was assessed under masked conditions using allocation concealment, Jadad score, and a CONSORT checklist devised for the purpose. Results:Of the 69 RCTs analyzed, only 37.7% had a Jadad score of ≥3, and only 13% of the trials clearly explained allocation concealment. The modified CONSORT score of surgical trials reported in medical journals was significantly higher than those reported in surgical journals (Mann-Whitney U test, P < 0.001). Overall, the modified CONSORT score was higher in studies with higher author numbers (P = 0.03), multicenter studies (P = 0.002), and studies with a declared funding source (P = 0.022). Conclusion:The overall quality of reporting of surgical RCTs was suboptimal. There is a need for improving awareness of the CONSORT statement among authors, reviewers, and editors of surgical journals and better quality control measures for trial reporting and methodology.


Breast Cancer Research and Treatment | 2005

Osteoprotegerin (OPG) Expression by Breast Cancer Cells in vitro and Breast Tumours in vivo – A Role in Tumour Cell Survival?

Ingunn Holen; Simon S. Cross; Helen L. Neville-Webbe; Neil Cross; Sabapathy P. Balasubramanian; Peter I. Croucher; C. Alyson Evans; Jennifer Lippitt; Robert E. Coleman; Colby L. Eaton

SummaryIn addition to its role in bone turnover, osteoprotegerin (OPG) has been reported to bind to and inhibit Tumour necrosis factor-related apoptosis inducing ligand (TRAIL). TRAIL is produced in tumours by invading monocytes, inducing apoptosis in neoplastic cells sensitive to this cytokine. OPG production by tumour cells would therefore be a novel mechanism whereby cancer cells evade host defences and gain a growth advantage. In this study we show that OPG produced by breast cancer cells enhances tumour cell survival by inhibiting TRAIL-induced apoptosis. OPG expression by breast cancer cells (MDA-MB 436/231) grown in vitro was examined using PCR and ELISA, and the sensitivity of these cells to TRAIL was determined. The effects of OPG on TRAIL induced apoptosis was investigated by exposing MDA-MB 436 cells to TRAIL, in the presence or absence of OPG, followed by assessment of nuclear morphology. We found that the levels of OPG produced were sufficient to inhibit TRAIL-induced apoptosis, suggesting that OPG may play a role in tumour cell survival. We also examined the expression pattern of OPG in a selection of breast tumours (n=400) by immunohistochemistry, and related OPG expression to the clinico-pathological data for each tumour. OPG expression was found to be negatively correlated with increasing tumour grade. To our knowledge these results are the first to demonstrate that OPG can act as an endocrine survival factor for breast cancer cells, as well as reporting the expression patterns of OPG in a large cohort of human breast tumours.


International Journal of Cancer | 2006

Osteoprotegerin (OPG)--a potential new role in the regulation of endothelial cell phenotype and tumour angiogenesis?

Simon S. Cross; Zhiyong Yang; Nicola J. Brown; Sabapathy P. Balasubramanian; Clair A. Evans; Julia K. Woodward; Helen L. Neville-Webbe; J M Lippitt; Malcolm Reed; Robert E. Coleman; Ingunn Holen

The progression of cancer depends on the establishment of a tumour blood supply, and therefore tumour angiogenesis has been identified as a major target for new anticancer agents. Recent reports have suggested that osteoprotegerin (OPG) is involved in the control of endothelial cell survival through the inhibition of the activity of tumour necrosis factor‐ (TNF) related apoptosis‐inducing ligand (TRAIL). The role of OPG in human tumour development and angiogenesis is currently unknown. In the present study we demonstrate the ability of OPG to support endothelial cell survival, as well as the formation of cord‐like structures in vitro using a matrigel tubule formation assay. Investigation of various human cancers demonstrated endothelial OPG expression in 59% of malignant tumours (n = 512), but in contrast, OPG was absent in endothelial cells associated with benign tumours and normal tissues (n = 178). In a series of 400 breast tumours, endothelial OPG expression was associated with high tumour grade and certain histological types. Our data show a clear separation in endothelial OPG expression between malignant tumours and nonmalignant tissues, supporting a potential biological role for this molecule in the development and/or maintenance of the tumour vasculature. This is the first study to report the proangiogenic effects of OPG in vitro, as well as correlating expression of OPG by tumour endothelial cells with clinicopathological data in human tumours.


Human Molecular Genetics | 2012

The role of genetic breast cancer susceptibility variants as prognostic factors

Peter A. Fasching; Paul Pharoah; Angela Cox; Heli Nevanlinna; Stig E. Bojesen; Thomas Karn; Annegien Broeks; Flora E. van Leeuwen; Laura J. van't Veer; Renate Udo; Alison M. Dunning; Dario Greco; Kristiina Aittomäki; Carl Blomqvist; Mitul Shah; Børge G. Nordestgaard; Henrik Flyger; John L. Hopper; Melissa C. Southey; Carmel Apicella; Montserrat Garcia-Closas; Mark E. Sherman; Jolanta Lissowska; Caroline Seynaeve; Petra E A Huijts; Rob A. E. M. Tollenaar; Argyrios Ziogas; Arif B. Ekici; Claudia Rauh; Arto Mannermaa

Recent genome-wide association studies identified 11 single nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk. We investigated these and 62 other SNPs for their prognostic relevance. Confirmed BC risk SNPs rs17468277 (CASP8), rs1982073 (TGFB1), rs2981582 (FGFR2), rs13281615 (8q24), rs3817198 (LSP1), rs889312 (MAP3K1), rs3803662 (TOX3), rs13387042 (2q35), rs4973768 (SLC4A7), rs6504950 (COX11) and rs10941679 (5p12) were genotyped for 25 853 BC patients with the available follow-up; 62 other SNPs, which have been suggested as BC risk SNPs by a GWAS or as candidate SNPs from individual studies, were genotyped for replication purposes in subsets of these patients. Cox proportional hazard models were used to test the association of these SNPs with overall survival (OS) and BC-specific survival (BCS). For the confirmed loci, we performed an accessory analysis of publicly available gene expression data and the prognosis in a different patient group. One of the 11 SNPs, rs3803662 (TOX3) and none of the 62 candidate/GWAS SNPs were associated with OS and/or BCS at P<0.01. The genotypic-specific survival for rs3803662 suggested a recessive mode of action [hazard ratio (HR) of rare homozygous carriers=1.21; 95% CI: 1.09-1.35, P=0.0002 and HR=1.29; 95% CI: 1.12-1.47, P=0.0003 for OS and BCS, respectively]. This association was seen similarly in all analyzed tumor subgroups defined by nodal status, tumor size, grade and estrogen receptor. Breast tumor expression of these genes was not associated with prognosis. With the exception of rs3803662 (TOX3), there was no evidence that any of the SNPs associated with BC susceptibility were associated with the BC survival. Survival may be influenced by a distinct set of germline variants from those influencing susceptibility.


Journal of Clinical Pathology | 2006

Expression of receptor activator of nuclear factor κβ ligand (RANKL) and tumour necrosis factor related, apoptosis inducing ligand (TRAIL) in breast cancer, and their relations with osteoprotegerin, oestrogen receptor, and clinicopathological variables

Simon S. Cross; Robert F. Harrison; Sabapathy P. Balasubramanian; Jennifer Lippitt; Clare Evans; Malcolm Reed; Ingunn Holen

Background: Receptor activator of nuclear factor κβ ligand (RANKL) has an important role in bone remodelling, and tumour necrosis factor related, apoptosis inducing ligand (TRAIL) can induce apoptosis in cancer cells. Their functions are linked by their interactions with osteoprotegerin (OPG). Objective: To investigate the expression of RANKL and TRAIL in a large series of unselected breast cancers and to analyse the relations between these expressions and the expression of OPG, oestrogen receptor, and clinicopathological variables. Methods: 395 breast cancers were sampled into tissue microarrays and immunohistochemistry undertaken for RANKL and TRAIL. Results: There was strong expression of RANKL in 14% of the cancers and strong expression of TRAIL in 30%. Expression of RANKL had a negative association with expression of oestrogen receptor (p = 0.036). Expression of TRAIL had a negative association with the Nottingham Prognostic Index (p = 0.021). There was a significant negative relation between expression of RANKL and TRAIL (p<0.005). Unsupervised cluster analysis produced a dendrogram that showed a clear division into two groups, and the expression of oestrogen receptor was significantly higher in one of those groups (p = 0.012). Conclusions: There is apparent loss of expression of RANKL in 86% of breast cancers; those tumours that retain expression tend to be oestrogen receptor negative and of a high histological grade. There is strong expression of TRAIL in 30% of breast cancers and these tend to be of better prognostic type. These results may be important in the processes of metastasis to bone and the apoptotic cell death pathway in cancer.


British Journal of Cancer | 2009

Angiogenesis is associated with the onset of hyperplasia in human ductal breast disease.

Joanne E Bluff; S R Menakuru; Simon S. Cross; Sue E. Higham; Sabapathy P. Balasubramanian; Nicola J. Brown; M. W. R. Reed; Carolyn A. Staton

Background:The precise timing of the angiogenic switch and the role of angiogenesis in the development of breast malignancy is currently unknown.Methods:Therefore, the expression of CD31 (pan endothelial cells (ECs)), endoglin (actively proliferating ECs), hypoxia-inducible factor-1 (HIF-1α), vascular endothelial growth factor-A (VEGF) and tissue factor (TF) were quantified in 140 surgical specimens comprising normal human breast, benign and pre-malignant hyperplastic tissue, in situ and invasive breast cancer specimens.Results:Significant increases in angiogenesis (microvessel density) were observed between normal and benign hyperplastic breast tissue (P<0.005), and between in situ and invasive carcinomas (P<0.0005). In addition, significant increases in proliferating ECs were observed in benign hyperplastic breast compared with normal breast (P<0.05) cancers and in invasive compared with in situ cancers (P<0.005). Hypoxia-inducible factor-1α, VEGF and TF expression were significantly associated with increases in both angiogenesis and proliferating ECs (P<0.05). Moreover, HIF-1α was expressed by 60–75% of the hyperplastic lesions, and a significant association was observed between VEGF and TF in ECs (P<0.005) and invasive tumour cells (P<0.01).Conclusions:These findings are the first to suggest that the angiogenic switch, associated with increases in HIF-1α, VEGF and TF expression, occurs at the onset of hyperplasia in the mammary duct, although the greatest increase in angiogenesis occurs with the development of invasion.


Journal of Medical Genetics | 2011

A role for XRCC2 gene polymorphisms in breast cancer risk and survival

Wei-Yu Lin; Nicola J. Camp; Lisa A. Cannon-Albright; Kristina Allen-Brady; Sabapathy P. Balasubramanian; Malcolm Reed; John L. Hopper; Carmel Apicella; Graham G. Giles; Melissa C. Southey; Roger L. Milne; José Ignacio Arias-Pérez; Primitiva Menéndez-Rodríguez; Javier Benitez; Magdalena Grundmann; Natalia Dubrowinskaja; Tjoung Won Park-Simon; Thilo Dörk; Montserrat Garcia-Closas; Jonine D. Figueroa; Mark E. Sherman; Jolanta Lissowska; Douglas F. Easton; Alison M. Dunning; Preetha Rajaraman; Alice J. Sigurdson; Michele M. Doody; Martha S. Linet; Paul Pharoah; Marjanka K. Schmidt

Background The XRCC2 gene is a key mediator in the homologous recombination repair of DNA double strand breaks. It is hypothesised that inherited variants in the XRCC2 gene might also affect susceptibility to, and survival from, breast cancer. Methods The study genotyped 12 XRCC2 tagging single nucleotide polymorphisms (SNPs) in 1131 breast cancer cases and 1148 controls from the Sheffield Breast Cancer Study (SBCS), and examined their associations with breast cancer risk and survival by estimating ORs and HRs, and their corresponding 95% CIs. Positive findings were further investigated in 860 cases and 869 controls from the Utah Breast Cancer Study (UBCS) and jointly analysed together with available published data for breast cancer risk. The survival findings were further confirmed in studies (8074 cases) from the Breast Cancer Association Consortium (BCAC). Results The most significant association with breast cancer risk in the SBCS dataset was the XRCC2 rs3218408 SNP (recessive model p=2.3×10−4, minor allele frequency (MAF)=0.23). This SNP yielded an ORrec of 1.64 (95% CI 1.25 to 2.16) in a two-site analysis of SBCS and UBCS, and a meta-ORrec of 1.33 (95% CI 1.12 to 1.57) when all published data were included. This SNP may mark a rare risk haplotype carried by two in 1000 of the control population. Furthermore, the XRCC2 coding R188H SNP (rs3218536, MAF=0.08) was significantly associated with poor survival, with an increased per-allele HR of 1.58 (95% CI 1.01 to 2.49) in a multivariate analysis. This effect was still evident in a pooled meta-analysis of 8781 breast cancer patients from the BCAC (HR 1.19, 95% CI 1.05 to 1.36; p=0.01). Conclusions These findings suggest that XRCC2 SNPs may influence breast cancer risk and survival.


Cancer Research | 2009

A breast cancer risk haplotype in the caspase-8 gene

Neil Duncan Shephard; Ryan Abo; Sushila H. Rigas; Bernd Frank; Wei-Yu Lin; Ian W. Brock; Adam Shippen; Sabapathy P. Balasubramanian; Malcolm W. R. Reed; Claus R. Bartram; Alfons Meindl; Rita K. Schmutzler; Christoph Engel; Barbara Burwinkel; Lisa A. Cannon-Albright; Kristina Allen-Brady; Nicola J. Camp; Angela Cox

Recent large-scale studies have been successful in identifying common, low-penetrance variants associated with common cancers. One such variant in the caspase-8 (CASP8) gene, D302H (rs1045485), has been confirmed to be associated with breast cancer risk, although the functional effect of this polymorphism (if any) is not yet clear. In order to further map the CASP8 gene with respect to breast cancer susceptibility, we performed extensive haplotype analyses using single nucleotide polymorphisms (SNP) chosen to tag all common variations in the gene (tSNP). We used a staged study design based on 3,200 breast cancer and 3,324 control subjects from the United Kingdom, Utah, and Germany. Using a haplotype-mining algorithm in the UK cohort, we identified a four-SNP haplotype that was significantly associated with breast cancer and that was superior to any other single or multi-locus combination (P=8.0 x 10(-5)), with a per allele odds ratio and 95% confidence interval of 1.30 (1.12-1.49). The result remained significant after adjustment for the multiple testing inherent in mining techniques (false discovery rate, q=0.044). As expected, this haplotype includes the D302H locus. Multicenter analyses on a subset of the tSNPs yielded consistent results. This risk haplotype is likely to carry one or more underlying breast cancer susceptibility alleles, making it an excellent candidate for resequencing in homozygous individuals. An understanding of the mode of action of these alleles will aid risk assessment and may lead to the identification of novel treatment targets in breast cancer.


Cancer Epidemiology, Biomarkers & Prevention | 2012

Fine-Mapping CASP8 Risk Variants in Breast Cancer

Nicola J. Camp; Marina Parry; Stacey Knight; Ryan Abo; Graeme Elliott; Sushilaben H. Rigas; Sabapathy P. Balasubramanian; Malcolm Reed; Helen McBurney; Ayse Latif; William G. Newman; Lisa A. Cannon-Albright; D. Gareth Evans; Angela Cox

Background: Multiple genome-wide and candidate gene association studies have been conducted in search of common risk variants for breast cancer. Recent large meta analyses, consolidating evidence from these studies, have been consistent in highlighting the caspase-8 (CASP8) gene as important in this regard. To define a risk haplotype and map the CASP8 gene region with respect to underlying susceptibility variant/s, we screened four genes in the CASP8 region on 2q33-q34 for breast cancer risk. Methods: Two independent data sets from the United Kingdom and the United States, including 3,888 breast cancer cases and controls, were genotyped for 45 tagging single nucleotide polymorphisms (tSNP) in the expanded CASP8 region. SNP and haplotype association tests were carried out using Monte Carlo-based methods. Results: We identified a three-SNP haplotype across rs3834129, rs6723097, and rs3817578 that was significantly associated with breast cancer (P < 5 × 10−6), with a dominant risk ratio and 95% CI of 1.28 (1.21–1.35) and frequency of 0.29 in controls. Evidence for this risk haplotype was extremely consistent across the two study sites and also consistent with previous data. Conclusion: This three-SNP risk haplotype represents the best characterization so far of the chromosome upon which the susceptibility variant resides. Impact: Characterization of the risk haplotype provides a strong foundation for resequencing efforts to identify the underlying risk variant, which may prove useful for individual-level risk prediction, and provide novel insights into breast carcinogenesis. Cancer Epidemiol Biomarkers Prev; 21(1); 176–81. ©2011 AACR.

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Malcolm Reed

Brighton and Sussex Medical School

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Angela Cox

University of Sheffield

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