Amar Ahmad
Queen Mary University of London
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Featured researches published by Amar Ahmad.
The Journal of Pathology | 2010
Britta Weigelt; Felipe C. Geyer; Rachael Natrajan; Maria A Lopez-Garcia; Amar Ahmad; Kay Savage; Bas Kreike; Jorge S. Reis-Filho
Invasive lobular carcinoma (ILC) is the most frequent special type of breast cancer. The majority of these tumours are of low histological grade, express hormone receptors, and lack HER2 expression. The pleomorphic variant of ILCs (PLCs) is characterized by atypical cells with pleomorphic nuclei and is reported to have an aggressive clinical behaviour. Expression profiling studies have demonstrated that classic ILCs preferentially display a luminal phenotype, whereas PLCs may be of luminal, HER2 or molecular apocrine subtypes. The aims of this study were two‐fold: to determine the transcriptomic characteristics of lobular carcinomas and to define the genome‐wide transcriptomic differences between classic ILCs and PLCs. To define the transcriptomic characteristics of ILCs, minimizing the impact of histological grade and molecular subtype on the analysis, we subjected a series of grade‐ and molecular subtype‐matched ILCs and invasive ductal carcinomas (IDCs) to genome‐wide gene expression profiling using oligonucleotide microarrays. Hierarchical clustering analysis demonstrated that ILCs formed a separate cluster and a supervised analysis revealed that 5.8% of the transcriptionally regulated genes were significantly differentially expressed in ILCs compared to grade‐ and molecular subtype‐matched IDCs. ILCs displayed down‐regulation of E‐cadherin and of genes related to actin cytoskeleton remodelling, protein ubiquitin, DNA repair, cell adhesion, TGF‐beta signalling; and up‐regulation of transcription factors/immediate early genes, lipid/prostaglandin biosynthesis genes, and cell migration‐associated genes. Supervised analysis of classic ILCs and PLCs demonstrated that less than 0.1% of genes were significantly differentially expressed between these tumour subtypes. Our results demonstrate that ILCs differ from grade‐ and molecular subtype‐matched IDCs in the expression of genes related to cell adhesion, cell‐to‐cell signalling, and actin cytoskeleton signalling. However, classic ILCs and PLCs are remarkably similar at the molecular level and should be considered as part of a spectrum of lesions. Copyright
British Journal of Cancer | 2011
M Mistry; D M Parkin; Amar Ahmad; Peter Sasieni
Background:Projections of cancer incidence are important for planning health services and to provide a baseline for assessing the impact of public health interventions.Methods:Rates estimated from smooth function age–period–cohort modelling of cancer incidence data from Great Britain 1975 to 2007 are extrapolated to 2030 and applied to UK population projections. Prostate and breast cancer projections take into account the effect of screening.Results:Overall rates of cancer are projected to be stable over the next 20 years, but this masks individual changes. In both sexes, age-standardised rates of cancers of the stomach, larynx, bladder and leukaemia are projected to fall by ⩾1% per year, whereas cancers of the lip, mouth and pharynx (ICD-10 C00-C14) and melanoma are projected to increase by ⩾1% per year. The growing and aging populations will have a substantial impact: numbers of cancers in men and women are projected to increase by 55% (from 149 169 to 231 026) and 35% (from 148 716 to 200 929), respectively, between 2007 and 2030. The model used yields similar results to those of Nordpred, but is more flexible.Conclusion:Without new initiatives for smoking and obesity reduction, the number of cancers in the United Kingdom will increase substantially reflecting the growing and aging populations.
Cancer Discovery | 2011
Rachel Brough; Jessica Frankum; David Sims; Alan Mackay; Ana M. Mendes-Pereira; Ilirjana Bajrami; Sara Costa-Cabral; Rumana Rafiq; Amar Ahmad; Maria Antonietta Cerone; Rachael Natrajan; Rachel Sharpe; Kai-Keen Shiu; Daniel Wetterskog; Konstantine J. Dedes; Maryou B. Lambros; Teeara Rawjee; Spiros Linardopoulos; Jorge S. Reis-Filho; Nicholas C. Turner; Christopher J. Lord; Alan Ashworth
UNLABELLED The design of targeted therapeutic strategies for cancer has largely been driven by the identification of tumor-specific genetic changes. However, the large number of genetic alterations present in tumor cells means that it is difficult to discriminate between genes that are critical for maintaining the disease state and those that are merely coincidental. Even when critical genes can be identified, directly targeting these is often challenging, meaning that alternative strategies such as exploiting synthetic lethality may be beneficial. To address these issues, we have carried out a functional genetic screen in >30 commonly used models of breast cancer to identify genes critical to the growth of specific breast cancer subtypes. In particular, we describe potential new therapeutic targets for PTEN-mutated cancers and for estrogen receptor-positive breast cancers. We also show that large-scale functional profiling allows the classification of breast cancers into subgroups distinct from established subtypes. SIGNIFICANCE Despite the wealth of molecular profiling data that describe breast tumors and breast tumor cell models, our understanding of the fundamental genetic dependencies in this disease is relatively poor. Using high-throughput RNA interference screening of a series of pharmacologically tractable genes, we have generated comprehensive functional viability profiles for a wide panel of commonly used breast tumor cell models. Analysis of these profiles identifies a series of novel genetic dependencies, including that of PTEN-null breast tumor cells upon mitotic checkpoint kinases, and provides a framework upon which additional dependencies and candidate therapeutic targets may be identified.
British Journal of Cancer | 2015
Amar Ahmad; N Ormiston-Smith; Peter Sasieni
Background:Typically, lifetime risk is calculated by the period method using current risks at different ages. Here, we estimate the probability of being diagnosed with cancer for individuals born in a given year, by estimating future risks as the cohort ages.Methods:We estimated the lifetime risk of cancer in Britain separately for men and women born in each year from 1930 to 1960. We projected rates of all cancers (excluding non-melanoma skin cancer) and of all cancer deaths forwards using a flexible age-period-cohort model and backwards using age-specific extrapolation. The sensitivity of the estimated lifetime risk to the method of projection was explored.Results:The lifetime risk of cancer increased from 38.5% for men born in 1930 to 53.5% for men born in 1960. For women it increased from 36.7 to 47.5%. Results are robust to different models for projections of cancer rates.Conclusions:The lifetime risk of cancer for people born since 1960 is >50%. Over half of people who are currently adults under the age of 65 years will be diagnosed with cancer at some point in their lifetime.
Histopathology | 2013
Lars Egevad; Amar Ahmad; Ferran Algaba; Daniel M. Berney; Liliane Boccon-Gibod; Eva Comperat; Andrew Evans; David Griffiths; Rainer Grobholz; Glen Kristiansen; Cord Langner; Antonio Lopez-Beltran; Rodolfo Montironi; S M Moss; Pedro Oliveira; Ben Vainer; Murali Varma; Philippe Camparo
Aims: The 2005 International Society of Urological Pathology (ISUP) modification of Gleason grading recommended that the highest grade should always be included in the Gleason score (GS) in prostate biopsies. We analysed the impact of this recommendation on reporting of GS 6 versus 7.
Prostate Cancer and Prostatic Diseases | 2013
Nataša Vasiljević; Amar Ahmad; Carol Beesley; Mangesh A. Thorat; Gabrielle Fisher; D. Berney; Henrik Møller; Yongwei Yu; Y-J Lu; Jack Cuzick; Christopher S. Foster; Attila T. Lorincz
Background:Heat shock protein 27 (Hsp-27) encoded by gene HSPB1 is a critical regulator of the behavioral phenotype of human prostate cancer (PCa) cells, enhanced expression being associated with highly aggressive disease and poor clinical outcome. In contrast, the protein is not expressed in PCas of low malignant potential. To gain insight into the mechanism regulating its expression, we tested the hypothesis that differential methylation of CpG islands within HSPB1 controls transcription and subsequent translation of the gene.Methods:We studied prostate epithelial cell lines and tissue biopsies, including 59 BPH and 415 PCas, of which 367 were a cohort of men with up to 20 years of follow-up. Methylation across the gene (DNA methylation (DNAme)) was assayed by pyrosequencing. Hsp-27 expression was assessed by western blot and immunohistochemistry.Results:In cancer tissues, methylation increased in a 3′ direction (P<0.0001) whereas in benign hyperplasia methylation was constantly below 5%, a cutoff giving a specificity of 100% and sensitivity of 50%. Although methylation of the promoter region was significantly discriminating between benign and malignant prostatic epithelia, it compared poorly with methylation of the first intron. The prognostic value of HSPB1 DNAme was confirmed by both univariate (hazard ratio 1.77 per 50% increment, P=0.02) and multivariate models. Interaction between HSPB1 methylation and Gleason score revealed high DNAme to be a reliable prognostic marker of poor outcome in men with low Gleason score (P=0.014).Conclusions:Our data indicate CpG methylation of the first HSPB1 intron to be an important biomarker that identifies aggressive PCas otherwise regarded as low risk by current clinical criteria but that, biologically, require immediate active management.
International Journal of Cardiology | 2015
O.F Ali; Carl Schultz; A Jabbour; Michael Rubens; Tarun Mittal; R Mohiaddin; S Davies; C. Di Mario; R Van Der Boon; Amar Ahmad; Mohamed Amrani; N Moat; P. de Jaegere; Miles Dalby
OBJECTIVES We sought to investigate the role of balloon size during pre-implantation valvuloplasty in predicting AR and optimal Medtronic CoreValve (MCS) implantation depth. BACKGROUND Paravalvular aortic regurgitation (AR) is common following MCS implantation. A number of anatomical and procedural variables have been proposed as determinants of AR including degree of valve calcification, valve undersizing and implantation depth. METHODS We conducted a multicenter retrospective analysis of 282 patients who had undergone MCS implantation with prior cardiac CT annular sizing between 2007 and 2011. Native valve minimum (Dmin), maximum (Dmax) and arithmetic mean (Dmean) annulus diameters as well as agatston calcium score were recorded. Nominal and achieved balloon size was also recorded. AR was assessed using contrast angiography at the end of each procedure. Implant depth was measured as the mean distance from the nadir of the non- and left coronary sinuses to the distal valve frame angiographically. RESULTS 29 mm and 26 mm MCS were implanted in 60% and 39% of patients respectively. The majority of patients (N=165) developed AR <2 following MCS implantation. AR ≥3 was observed in 16% of the study population. High agatston calcium score and Dmean were found to be independent predictors of AR ≥3 in multivariate analysis (P<0.0001). Nominal balloon diameter and the number of balloon inflations did not influence AR. However a small achieved balloon diameter-to-Dmean ratio (≤0.85) showed modest correlation with AR ≥3 (P=0.04). This observation was made irrespective of the degree of valve calcification. A small MCS size-to-Dmean ratio is also associated with AR ≥3 (P=0.001). A mean implantation depth of ≥8+2mm was also associated with AR ≥3. Implantation depth of ≥12 mm was associated with small MCS diameter-to-Dmean ratio and increased 30-day mortality. CONCLUSION CT measured aortic annulus diameter and agatston calcium score remain important predictors of significant AR. Other procedural predictors include valve undersizing and low implantation depth. A small achieved balloon diameter-to-Dmean ratio might also predict AR ≥3. Our findings confirm that a small achieved balloon size during pre-implantation valvuloplasty predicts moderate-severe AR in addition to previously documented factors.
Histopathology | 2014
Amanda H. Seipel; Brett Delahunt; Hemamali Samaratunga; Mahul B. Amin; Joel Barton; Daniel M. Berney; Athanase Billis; Liang Cheng; Eva Comperat; Andrew Evans; Samson W. Fine; David J. Grignon; Peter A. Humphrey; Cristina Magi-Galluzzi; Rodolfo Montironi; Isabell A. Sesterhenn; John R. Srigley; Kiril Trpkov; Theo H. van der Kwast; Murali Varma; Ming Zhou; Amar Ahmad; S M Moss; Lars Egevad
Ductal adenocarcinoma of the prostate (DAC) is clinically important, because its behaviour may differ from that of acinar adenocarcinoma. Our aims were to investigate the interobserver variability of this diagnosis among experts in uropathology and to define diagnostic criteria.
Cancer Biomarkers | 2012
Dae Cheol Kim; Mangesh A. Thorat; Mi Ri Lee; Se Heon Cho; Nataša Vasiljević; Dorota Scibior-Bentkowska; Keqiang Wu; Amar Ahmad; Stephen W. Duffy; Jack Cuzick; Attila T. Lorincz
BACKGROUND The need for new prognostic factors in breast cancer is ever increasing as breast cancer management evolves. Aberrant DNA methylation plays a pivotal role in cancer development and progression; DNA methylation-based biomarkers may provide independent prognostic information. We used pyrosequencing to investigate the prognostic potential of quantitative DNA methylation of a large set of candidate genes in a Korean single-institution series of operable breast cancer. METHODS Absolute DNA methylation in 20 candidate genes from an initial set of 30 genes was measured by pyrosequencing of bisulfite converted DNA in 121 fresh frozen breast cancer cases. Survival analyses used continuous and categorized (quintile-based) gene methylation data with time to recurrence (TTR) as an endpoint. Prognostic abilities of gene-only and risk-score models were explored. RESULTS Median follow-up was 5.1 years; 25 recurrences (21%) were observed. Nodal status, methylation of TWIST1, SLIT2 (both as continuous and categorized variables) and APC, HLA-A, NKX2-5, SERPINB5, SFN (as categorized variables) were significantly prognostic; grade showed a prognostic trend. A multivariate model containing nodal status, grade and TWIST1 was a best fit (p< 0.001) in stepwise regression; risk-score based on this model separated patients into 3 distinct risk-groups (p< 0.001). A gene-only model based on TWIST1 and SFN also classified patients into distinct risk-groups (p=0.009). CONCLUSIONS This study shows that accurate quantitative measurement of DNA methylation by pyrosequencing identifies a small set of genes with independent prognostic potential in breast cancer. These genes complement the current clinico-pathological prognostic factors and appear to be potential biomarkers that warrant further validation.
Journal of Medical Microbiology and Diagnosis | 2015
Ditte Møller Ejegod; Jesper Bonde; Itziar Serrano; Kate Cuschieri; William A. Nussbaumer; Laurence M. Vaughan; Amar Ahmad; Jack Cuzick
The clinical performance of The BD Onclarity™ HPV Assay, a novel type-specific real-time E6/E7-based PCR assay, was evaluated for clinical and analytical performance using the Meijer et al. international guidelines for validation of high-risk HPV tests. Assay performance was found to be similar to the reference method, Hybrid Capture 2 (HC2, QIAGEN) using PreservCyt® Specimens (Hologic®, Inc.). In addition, the fully automated assay was found to have excellent intra- and inter-laboratory reproducibility (98.6% (kappa=0.967) and 98.4% (kappa=0.962), respectively). These data show that the BD Onclarity™ HPV Assay fulfills the clinical validation requirements for a HPV based cervical cancer screening assay (Meijer et al. International journal of cancer 2009; 124: 516-520.).