Alexey Zaikin
University College London
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Featured researches published by Alexey Zaikin.
Physics Letters A | 2003
E. Ullner; Alexey Zaikin; Jordi Garcia-Ojalvo; R. Báscones; Jürgen Kurths
We report the occurrence of vibrational resonance in excitable systems. Namely, we show that an optimal amplitude of the high-frequency driving enhances the response of an excitable system to a low-frequency signal. The phenomenon is confirmed in an excitable electronic circuit and in the FitzHugh-Nagumo model. In this last case we also analyze the influence of additive noise and the interplay between stochastic and vibrational resonance. Additionally, we show that this effect can be extended to spatially extended excitable media, taking the form of an enhanced propagation of the low-frequency signal.
British Journal of Cancer | 2013
Johannes W. Pedersen; A Gentry-Maharaj; Evangelia-Ourania Fourkala; Anne Dawnay; Matthew Burnell; Alexey Zaikin; Anders Elm Pedersen; Ian Jacobs; Usha Menon; Hans H. Wandall
Background:Recent reports from cancer screening trials in high-risk populations suggest that autoantibodies can be detected before clinical diagnosis. However, there is minimal data on the role of autoantibody signatures in cancer screening in the general population.Methods:Informative p53 peptides were identified in sera from patients with colorectal cancer using an autoantibody microarray with 15-mer overlapping peptides covering the complete p53 sequence. The selected peptides were evaluated in a blinded case–control study using stored serum from the multimodal arm of the United Kingdom Collaborative Trial of Ovarian Cancer Screening where women gave annual blood samples. Cases were postmenopausal women who developed colorectal cancer following recruitment, with 2 or more serum samples preceding diagnosis. Controls were age-matched women with no history of cancer.Results:The 50 640 women randomised to the multimodal group were followed up for a median of 6.8 (inter-quartile range 5.9–8.4) years. Colorectal cancer notification was received in 101 women with serial samples of whom 97 (297 samples) had given consent for secondary studies. They were matched 1 : 1 with 97 controls (296 serial samples). The four most informative peptides identified 25.8% of colorectal cancer patients with a specificity of 95%. The median lead time was 1.4 (range 0.12–3.8) years before clinical diagnosis.Conclusion:Our findings suggest that in the general population, autoantibody signatures are detectable during preclinical disease and may be of value in cancer screening. In colorectal cancer screening in particular, where the current need is to improve compliance, it suggests that p53 autoantibodies may contribute towards risk stratification.
Lancet Oncology | 2013
Martin Widschwendter; Adam N. Rosenthal; Sue Philpott; Ivana Rizzuto; Lindsay Fraser; Jane Hayward; Maria P. Intermaggio; Christopher K. Edlund; Susan J. Ramus; Simon A. Gayther; Louis Dubeau; Evangelia Fourkala; Alexey Zaikin; Usha Menon; Ian Jacobs
BACKGROUND Penetrance for breast cancer, ovarian cancer, or both in carriers of BRCA1/BRCA2 mutations is disproportionately high. Sex hormone dysregulation and altered end-organ hormone sensitivity might explain this organ-specific penetrance. We sought to identify differences in hormone regulation between carriers of BRCA1/2 and women who are negative for BRCA1/2 mutations. METHODS We assessed endometrial thickness for each menstrual cycle day (as an index of hormone regulation) in 393 scans from 228 women in the UK Familial Ovarian Cancer Screening Study (UK FOCSS) known to carry either mutation and 1573 scans from 754 women known to be negative for the mutations. To quantify differences in endometrial thickness we focused on days 10-14 and days 21-26, and calculated the area under the curve. We then compared serum oestradiol and progesterone titres during these days of the menstrual cycle in the same groups. Follicular and luteal oestradiol and progesterone serum titres were grouped into quartiles and odds ratios were calculated with logistic regression. FINDINGS Follicular phase endometrial thickness of carriers of the mutations adjusted for age and day of the menstrual cycle was higher (odds ratio [OR] 1·11, 95% CI 1·03-1·20; p=0·0063) and luteal phase endometrial thickness lower (0·90, 0·83-0·98; p=0·027) than for women negative for the mutations. Median luteal phase titres of progesterone were 121% higher (p=0·00037) in carriers than in women negative for the mutations, and for oestradiol were 33% higher (p=0·007)-ie, 59% of carriers had concentrations of serum progesterone that would have been in the top quartile of concentrations in the control group (OR 8·0, 95% CI 2·1-52·57; p=0·008). INTERPRETATION Carriers of BRCA1/BRCA2 mutations are exposed to higher titres of oestradiol and progesterone-known risk-factors for breast cancer. Higher titres of oestradiol in carriers are compatible with this hormone having a role in ovarian carcinogenesis in such women. Our findings could not be explained by differential contraceptive pill use.
Clinical Cancer Research | 2015
Darragh P. O'Brien; Neomal S. Sandanayake; Claire Jenkinson; Aleksandra Gentry-Maharaj; Sophia Apostolidou; Evangelia-Ourania Fourkala; Stephane Camuzeaux; Oleg Blyuss; Richard Gunu; Anne Dawnay; Alexey Zaikin; Ross C. Smith; Ian Jacobs; Usha Menon; Eithne Costello; Stephen P. Pereira; John F. Timms
Purpose: Biomarkers for the early detection of pancreatic cancer are urgently needed. The primary objective of this study was to evaluate whether increased levels of serum CA19-9, CA125, CEACAM1, and REG3A are present before clinical presentation of pancreatic cancer and to assess the performance of combined markers for early detection and prognosis. Experimental Design: This nested case–control study within the UKCTOCS included 118 single and 143 serial serum samples from 154 postmenopausal women who were subsequently diagnosed with pancreatic cancer and 304 matched noncancer controls. Samples were split randomly into independent training and test sets. CA19-9, CA125, CEACAM1, and REG3A were measured using ELISA and/or CLIA. Performance of markers to detect cancers at different times before diagnosis and for prognosis was evaluated. Results: At 95% specificity, CA19-9 (>37 U/mL) had a sensitivity of 68% up to 1 year, and 53% up to 2 years before diagnosis. Combining CA19-9 and CA125 improved sensitivity as CA125 was elevated (>30 U/mL) in approximately 20% of CA19-9–negative cases. CEACAM1 and REG3A were late markers adding little in combined models. Average lead times of 20 to 23 months were estimated for test-positive cases. Prediagnostic levels of CA19-9 and CA125 were associated with poor overall survival (HR, 2.69 and 3.15, respectively). Conclusions: CA19-9 and CA125 have encouraging sensitivity for detecting preclinical pancreatic cancer, and both markers can be used as prognostic tools. This work challenges the prevailing view that CA19-9 is upregulated late in the course of pancreatic cancer development. Clin Cancer Res; 21(3); 622–31. ©2014 AACR.
PLOS Computational Biology | 2010
Juliane Liepe; Michele Mishto; Kathrin Textoris-Taube; Katharina Janek; Christin Keller; Petra Henklein; Peter M. Kloetzel; Alexey Zaikin
The identification of proteasome-generated spliced peptides (PSP) revealed a new unpredicted activity of the major cellular protease. However, so far characterization of PSP was entirely dependent on the availability of patient-derived cytotoxic CD8+ T lymphocytes (CTL) thus preventing a systematic investigation of proteasome-catalyzed peptide splicing (PCPS). For an unrestricted PSP identification we here developed SpliceMet, combining the computer-based algorithm ProteaJ with in vitro proteasomal degradation assays and mass spectrometry. By applying SpliceMet for the analysis of proteasomal processing products of four different substrate polypeptides, derived from human tumor as well as viral antigens, we identified fifteen new spliced peptides generated by PCPS either by cis or from two separate substrate molecules, i.e., by trans splicing. Our data suggest that 20S proteasomes represent a molecular machine that, due to its catalytic and structural properties, facilitates the generation of spliced peptides, thereby providing a pool of qualitatively new peptides from which functionally relevant products may be selected.
PLOS ONE | 2009
Aneta Koseska; Alexey Zaikin; Jürgen Kurths; Jordi Garcia-Ojalvo
Many cellular processes require decision making mechanisms, which must act reliably even in the unavoidable presence of substantial amounts of noise. However, the multistable genetic switches that underlie most decision-making processes are dominated by fluctuations that can induce random jumps between alternative cellular states. Here we show, via theoretical modeling of a population of noise-driven bistable genetic switches, that reliable timing of decision-making processes can be accomplished for large enough population sizes, as long as cells are globally coupled by chemical means. In the light of these results, we conjecture that cell proliferation, in the presence of cell–cell communication, could provide a mechanism for reliable decision making in the presence of noise, by triggering cellular transitions only when the whole cell population reaches a certain size. In other words, the summation performed by the cell population would average out the noise and reduce its detrimental impact.
International Journal of Cancer | 2014
Johannes W. Pedersen; Aleksandra Gentry-Maharaj; Alexander Nøstdal; Evangelia-Ourania Fourkala; Anne Dawnay; Matthew Burnell; Alexey Zaikin; Joy Burchell; Joyce Taylor Papadimitriou; Henrik Clausen; Ian Jacobs; Usha Menon; Hans H. Wandall
Recent reports suggest that autoantibodies directed to aberrantly glycosylated mucins, in particular MUC1 and MUC4, are found in patients with colorectal cancer. There is, however, limited information on the autoantibody levels before clinical diagnosis, and their utility in cancer screening in the general population. In our study, we have generated O‐glycosylated synthetic MUC1 and MUC4 peptides in vitro, to mimic cancer‐associated glycoforms, and displayed these on microarrays. The assays performance was tested through an initial screening of serum samples taken from patients at the time of colorectal cancer diagnosis and healthy controls. Subsequently, the selected biomarkers were evaluated in a blinded nested case–control study using stored serum samples from among the 50,640 women randomized to the multimodal arm of the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS), where women gave annual blood samples for several years. Cases were 97 postmenopausal women who developed colorectal cancer after recruitment and were age‐matched to 97 women without any history of cancer. MUC1‐STn and MUC1‐Core3 IgG autoantibodies identified cases with 8.2 and 13.4% sensitivity, respectively, at 95% specificity. IgA to MUC4 glycoforms were unable to discriminate between cases and controls in the UKCTOCS sera. Additional analysis was undertaken by combining the data of MUC1‐STn and MUC1‐Core3 with previously generated data on autoantibodies to p53 peptides, which increased the sensitivity to 32.0% at 95% specificity. These findings suggest that a combination of antibody signatures may have a role as part of a biomarker panel for the early detection of colorectal cancer.
Journal of Molecular Biology | 2008
Michele Mishto; Fabio Luciani; Hermann-Georg Holzhütter; Elena Bellavista; Aurelia Santoro; Kathrin Textoris-Taube; Claudio Franceschi; Peter M. Kloetzel; Alexey Zaikin
Proteasomes are fundamental for the degradation of intracellular proteins, having a key role in several important metabolic and signaling pathways, in the cell cycle and in antigen presentation. In vitro proteasomal digestion assays are widely used in molecular biology and immunology. We developed a model, ProteaMAlg (proteasome modeling algorithm) that describes the kinetics of specific protein fragments generated by 20S proteasomes in different conditions, once the substrate cleavage strengths are provided. ProteaMAlg was tested on a variety of data available in the literature as well as on new degradation experiments performed with polypeptides of different sequences and lengths. The comparison between in vitro and in silico experiments was used to quantify the effect on degradation of the sequence and the length of target polypeptides, of the presence of regulatory molecules such as PA28-alphabeta, and of the type of 20S proteasome (constitutive- or immunoproteasome). The model showed that the effect of the PA28 regulatory subunit results in a modification of the gating functions of the proteasome core particle. Immunoproteasome digestion experiments suggested that this form of proteasome, which is involved in generating MHC-class I epitopes, presents modified cleavage and gating activities. Our analysis improves the current understanding of the kinetics of proteasome functioning, and provides a tool to quantify and predict the effect of key parameters during in vitro digestion. ProteaMAlg is publicly available on the web (http://www.proteamalg.com).
Endocrine-related Cancer | 2012
Evangelia-Ourania Fourkala; Alexey Zaikin; Matthew Burnell; Aleksandra Gentry-Maharaj; Jeremy Ford; Richard Gunu; Christina Soromani; Guido Hasenbrink; Ian Jacobs; Anne Dawnay; Martin Widschwendter; Hella Lichtenberg-Fraté; Usha Menon
Postmenopausal women with elevated serum sex steroids have an increased risk of breast cancer. Most of this risk is believed to be exerted through binding of the sex steroids to their receptors. For the first time, we investigate the association of estrogen receptor (ER) and androgen receptor (AR) serum bioactivity (SB) in addition to hormone levels in samples from women with breast cancer collected before diagnosis. Two hundred postmenopausal women participating in the UK Collaborative Trial of Ovarian Cancer Screening who developed ER-positive breast cancer 0.6–5 years after sample donation were identified and matched to 400 controls. ER and AR bioassays were used to measure ERα, ERβ, and AR SB. Androgen and estrogen levels were measured with immunoassays. Subjects were classified according to quintiles of the respective marker among controls and the associations between SB and hormones with breast cancer risk were determined by logistic regression analysis. ERα and ERβ SB were significantly higher before diagnosis compared with controls, while estrogens showed no difference. Women had a twofold increased breast cancer risk if ERα SB (odds ratio (OR), 2.114; 95% confidence interval (CI), 1.050–4.425; P=0.040) was in the top quintile >2 years before diagnosis or estrone (OR, 2.205; 95% CI, 1.104–4.586; P=0.029) was in the top quintile <2 years before diagnosis. AR showed no significant association with breast cancer while androstenedione (OR, 3.187; 95% CI, 1.738–6.044; P=0.0003) and testosterone (OR, 2.145; 95% CI, 1.256–3.712; P=0.006) were significantly higher compared with controls and showed a strong association with an almost threefold increased breast cancer risk independent of time to diagnosis. This study provides further evidence on the association of androgens and estrogens with breast cancer. In addition, it reports that high ER but not AR SB is associated with increased breast risk >2 years before diagnosis.
Breast Cancer Research | 2014
Heba Alshaker; Jonathan Krell; Adam E. Frampton; Jonathan Waxman; Oleg Blyuss; Alexey Zaikin; Mathias Winkler; Justin Stebbing; Ernesto Yagüe; Dmitri Pchejetski
IntroductionObesity is a known risk factor for breast cancer. Sphingosine kinase 1 (SK1) is an oncogenic lipid kinase that is overexpressed in breast tumours and linked with poor prognosis, however, its role in obesity-driven breast cancer was never elucidated.MethodsHuman primary and secondary breast cancer tissues were analysed for SK1 and leptin receptor expression using quantitative real-time polymerase chain reaction (qRT-PCR) assay. Leptin-induced signalling was analysed in human oestrogen receptor (ER)-positive and negative breast cancer cells using Western blotting, qRT-PCR and radiolabelling assays.ResultsOur findings show for the first time that human primary breast tumours and associated lymph node metastases exhibit a strong correlation between SK1 and leptin receptor expression (Pearson R = 0.78 and R = 0.77, respectively, P <0.001). Both these genes are elevated in metastases of ER-negative patients and show a significant increase in patients with higher body mass index (BMI). Leptin induces SK1 expression and activation in ER-negative breast cancer cell lines MDAMB-231 and BT-549, but not in ER-positive cell lines. Pharmacological inhibition and gene knockdown showed that leptin-induced SK1 activity and expression are mediated by activation of extracellular signal-regulated kinases 1/2 (ERK1/2) and Src family kinase (SFK) pathways, but not by the major pathways downstream of leptin receptor (LEPR) - janus kinase 2 (JAK2) and signal transducer and activator of transcription 3 (STAT3). Src-homology 2 domain-containing phosphatase 2 (SHP2) appeared to be key to SK1 activation, and may function as an adaptor protein between SFKs and LEPR. Importantly, leptin-induced breast cancer cell proliferation was abrogated by SK1-specific small interfering RNA (siRNA).ConclusionsOverall, our findings demonstrate a novel SFK/ERK1/2-mediated pathway that links leptin signalling and expression of oncogenic enzyme SK1 in breast tumours and suggest the potential significance of this pathway in ER-negative breast cancer.