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Dive into the research topics where Jenna Sykes is active.

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Featured researches published by Jenna Sykes.


Journal of Clinical Oncology | 2013

Sequential Phase I and II Trials of Stereotactic Body Radiotherapy for Locally Advanced Hepatocellular Carcinoma

Alexis Bujold; Christine Massey; John Kim; James D. Brierley; Charles Cho; Rebecca Wong; Rob Dinniwell; Zahra Kassam; Jolie Ringash; Bernard Cummings; Jenna Sykes; Morris Sherman; Jennifer J. Knox; Laura A. Dawson

PURPOSE To describe outcomes of prospective trials of stereotactic body radiotherapy (SBRT) for hepatocellular carcinoma (HCC). PATIENTS AND METHODS Two trials of SBRT for patients with active HCC unsuitable for standard locoregional therapies were conducted from 2004 to 2010. All patients had Child-Turcotte-Pugh class A disease, with at least 700 mL of non-HCC liver. The SBRT dose range was 24 to 54 Gy in six fractions. Primary end points were toxicity and local control at 1 year (LC1y), defined as no progressive disease (PD) of irradiated HCC by RECIST (Response Evaluation Criteria in Solid Tumors). RESULTS A total of 102 patients were evaluable (Trial 1, 2004 to 2007: n = 50; Trial 2, 2007 to 2010: n = 52). Underlying liver disease was hepatitis B in 38% of patients, hepatitis C in 38%, alcohol related in 25%, other in 14%, and none in 7%. Fifty-two percent received prior therapies (no prior sorafenib). TNM stage was III in 66%, and 61% had multiple lesions. Median gross tumor volume was 117.0 mL (range, 1.3 to 1,913.4 mL). Tumor vascular thrombosis (TVT) was present in 55%, and extrahepatic disease was present in 12%. LC1y was 87% (95% CI, 78% to 93%). SBRT dose (hazard ratio [HR] = 0.96; P = .02) and being in Trial 2 (HR = 0.38; P = .03) were associated with LC1y on univariate analysis. Toxicity ≥ grade 3 was seen in 30% of patients. In seven patients (two with TVT PD), death was possibly related to treatment (1.1 to 7.7 months after SBRT). Median overall survival was 17.0 months (95% CI, 10.4 to 21.3 months), for which only TVT (HR = 2.47; P = .01) and being in Trial 2 (HR = 0.49; P = .01) were significant on multivariate analysis. CONCLUSION These results provide strong rationale for studying SBRT for HCC in a randomized trial.


Nature Genetics | 2015

Spatial genomic heterogeneity within localized, multifocal prostate cancer

Paul C. Boutros; Michael Fraser; Nicholas J. Harding; Richard de Borja; Dominique Trudel; Emilie Lalonde; Alice Meng; Pablo H. Hennings-Yeomans; Andrew McPherson; Veronica Y. Sabelnykova; Amin Zia; Natalie S. Fox; Julie Livingstone; Yu Jia Shiah; Jianxin Wang; Timothy Beck; Cherry Have; Taryne Chong; Michelle Sam; Jeremy Johns; Lee Timms; Nicholas Buchner; Ada Wong; John D. Watson; Trent T. Simmons; Christine P'ng; Gaetano Zafarana; Francis Nguyen; Xuemei Luo; Kenneth C. Chu

Herein we provide a detailed molecular analysis of the spatial heterogeneity of clinically localized, multifocal prostate cancer to delineate new oncogenes or tumor suppressors. We initially determined the copy number aberration (CNA) profiles of 74 patients with index tumors of Gleason score 7. Of these, 5 patients were subjected to whole-genome sequencing using DNA quantities achievable in diagnostic biopsies, with detailed spatial sampling of 23 distinct tumor regions to assess intraprostatic heterogeneity in focal genomics. Multifocal tumors are highly heterogeneous for single-nucleotide variants (SNVs), CNAs and genomic rearrangements. We identified and validated a new recurrent amplification of MYCL, which is associated with TP53 deletion and unique profiles of DNA damage and transcriptional dysregulation. Moreover, we demonstrate divergent tumor evolution in multifocal cancer and, in some cases, tumors of independent clonal origin. These data represent the first systematic relation of intraprostatic genomic heterogeneity to predicted clinical outcome and inform the development of novel biomarkers that reflect individual prognosis.


Drug and Alcohol Dependence | 2012

Increased risk of Parkinson's disease in individuals hospitalized with conditions related to the use of methamphetamine or other amphetamine-type drugs

Russell C. Callaghan; James K. Cunningham; Jenna Sykes; Stephen J. Kish

BACKGROUND Since methamphetamine and other amphetamine-type stimulants (meth/amphetamine) can damage dopaminergic neurons, researchers have long speculated that these drugs may predispose users to develop Parkinsons disease (PD), a dopamine deficiency neurological disorder. METHODS We employed a retrospective population-based cohort study using all linked statewide California inpatient hospital episodes and death records from January 1, 1990 through December 31, 2005. Patients at least 30 years of age were followed for up to 16 years. Competing risks analysis was used to determine whether the meth/amphetamine cohort had elevated risk of developing PD (ICD-9 332.0; ICD-10 G20) in comparison to a matched population-proxy appendicitis group and a matched cocaine drug control group. Individuals admitted to hospital with meth/amphetamine-related conditions (n=40,472; ICD-9 codes 304.4, 305.7, 969.7, E854.2) were matched on age, race, sex, date of index admission, and patterns of hospital admission with patients with appendicitis conditions (n=207,831; ICD-9 codes 540-542) and also individuals with cocaine-use disorders (n=35,335; ICD-9 codes 304.2, 305.6, 968.5). RESULTS The meth/amphetamine cohort showed increased risk of PD compared to both that of the matched appendicitis group [hazard ratio (HR)=1.76, 95% CI: 1.12-2.75, p=0.017] and the matched cocaine group [HR=2.44, 95% CI: 1.32-4.41, p=0.004]. The cocaine group did not show elevated hazard of PD compared to the matched appendicitis group [HR=1.04, 95% CI: 0.56-1.93, p=0.80]. CONCLUSION These data provide evidence that meth/amphetamine users have above-normal risk for developing PD.


Cancer Research | 2011

MicroRNA-301 Mediates Proliferation and Invasion in Human Breast Cancer

Wei Shi; Kate Gerster; Nehad M. Alajez; Jasmine Tsang; Levi Waldron; Melania Pintilie; Angela B. Hui; Jenna Sykes; Christine P'ng; Naomi Miller; David R. McCready; Anthony Fyles; Fei-Fei Liu

Several microRNAs have been implicated in human breast cancer but none to date have been validated or utilized consistently in clinical management. MicroRNA-301 (miR-301) overexpression has been implicated as a negative prognostic indicator in lymph node negative (LNN) invasive ductal breast cancer, but its potential functional impact has not been determined. Here we report that in breast cancer cells, miR-301 attenuation decreased cell proliferation, clonogenicity, migration, invasion, tamoxifen resistance, tumor growth, and microvessel density, establishing an important oncogenic role for this gene. Algorithm-based and experimental strategies identified FOXF2, BBC3, PTEN, and COL2A1 as candidate miR-301 targets, all of which were verified as direct targets through luciferase reporter assays. We noted that miR-301 is located in an intron of the SKA2 gene which is responsible for kinetochore assembly, and both genes were found to be coexpressed in primary breast cancer samples. In summary, our findings define miR-301 as a crucial oncogene in human breast cancer that acts through multiple pathways and mechanisms to promote nodal or distant relapses.


Lancet Oncology | 2014

Tumour genomic and microenvironmental heterogeneity for integrated prediction of 5-year biochemical recurrence of prostate cancer: a retrospective cohort study

Emilie Lalonde; Adrian Ishkanian; Jenna Sykes; Michael Fraser; Helen Ross-Adams; Nicholas Erho; Mark J. Dunning; Silvia Halim; Alastair D. Lamb; Nathalie C Moon; Gaetano Zafarana; Anne Warren; Xianyue Meng; John Thoms; Michal R Grzadkowski; Alejandro Berlin; Cherry Have; Varune Rohan Ramnarine; Cindy Q. Yao; Chad A. Malloff; Lucia L. Lam; Honglei Xie; Nicholas J. Harding; Denise Y. F. Mak; Kenneth C. Chu; Lauren C. Chong; Dorota H Sendorek; Christine P'ng; Colin Collins; Jeremy A. Squire

BACKGROUND Clinical prognostic groupings for localised prostate cancers are imprecise, with 30-50% of patients recurring after image-guided radiotherapy or radical prostatectomy. We aimed to test combined genomic and microenvironmental indices in prostate cancer to improve risk stratification and complement clinical prognostic factors. METHODS We used DNA-based indices alone or in combination with intra-prostatic hypoxia measurements to develop four prognostic indices in 126 low-risk to intermediate-risk patients (Toronto cohort) who will receive image-guided radiotherapy. We validated these indices in two independent cohorts of 154 (Memorial Sloan Kettering Cancer Center cohort [MSKCC] cohort) and 117 (Cambridge cohort) radical prostatectomy specimens from low-risk to high-risk patients. We applied unsupervised and supervised machine learning techniques to the copy-number profiles of 126 pre-image-guided radiotherapy diagnostic biopsies to develop prognostic signatures. Our primary endpoint was the development of a set of prognostic measures capable of stratifying patients for risk of biochemical relapse 5 years after primary treatment. FINDINGS Biochemical relapse was associated with indices of tumour hypoxia, genomic instability, and genomic subtypes based on multivariate analyses. We identified four genomic subtypes for prostate cancer, which had different 5-year biochemical relapse-free survival. Genomic instability is prognostic for relapse in both image-guided radiotherapy (multivariate analysis hazard ratio [HR] 4·5 [95% CI 2·1-9·8]; p=0·00013; area under the receiver operator curve [AUC] 0·70 [95% CI 0·65-0·76]) and radical prostatectomy (4·0 [1·6-9·7]; p=0·0024; AUC 0·57 [0·52-0·61]) patients with prostate cancer, and its effect is magnified by intratumoral hypoxia (3·8 [1·2-12]; p=0·019; AUC 0·67 [0·61-0·73]). A novel 100-loci DNA signature accurately classified treatment outcome in the MSKCC low-risk to intermediate-risk cohort (multivariate analysis HR 6·1 [95% CI 2·0-19]; p=0·0015; AUC 0·74 [95% CI 0·65-0·83]). In the independent MSKCC and Cambridge cohorts, this signature identified low-risk to high-risk patients who were most likely to fail treatment within 18 months (combined cohorts multivariate analysis HR 2·9 [95% CI 1·4-6·0]; p=0·0039; AUC 0·68 [95% CI 0·63-0·73]), and was better at predicting biochemical relapse than 23 previously published RNA signatures. INTERPRETATION This is the first study of cancer outcome to integrate DNA-based and microenvironment-based failure indices to predict patient outcome. Patients exhibiting these aggressive features after biopsy should be entered into treatment intensification trials. FUNDING Movember Foundation, Prostate Cancer Canada, Ontario Institute for Cancer Research, Canadian Institute for Health Research, NIHR Cambridge Biomedical Research Centre, The University of Cambridge, Cancer Research UK, Cambridge Cancer Charity, Prostate Cancer UK, Hutchison Whampoa Limited, Terry Fox Research Institute, Princess Margaret Cancer Centre Foundation, PMH-Radiation Medicine Program Academic Enrichment Fund, Motorcycle Ride for Dad (Durham), Canadian Cancer Society.


Journal of the National Cancer Institute | 2013

Prevalence of Prostate Cancer on Autopsy: Cross-Sectional Study on Unscreened Caucasian and Asian Men

Alexandre R. Zlotta; Shin Egawa; Dmitry Pushkar; Alexander Govorov; Takahiro Kimura; Masahito Kido; Hiroyuki Takahashi; Cynthia Kuk; Marta Kovylina; Najla Aldaoud; Neil Fleshner; Antonio Finelli; Laurence Klotz; Jenna Sykes; Gina Lockwood; Theodorus van der Kwast

BACKGROUND Substantial geographical differences in prostate cancer (PCa) incidence and mortality exist, being lower among Asian (ASI) men compared with Caucasian (CAU) men. We prospectively compared PCa prevalence in CAU and ASI men from specific populations with low penetrance of prostate-specific antigen screening. METHODS Prostate glands were prospectively obtained during autopsy from men who died from causes other than PCa in Moscow, Russia (CAU), and Tokyo, Japan (ASI). Prostates were removed en-block and analyzed in toto. We compared across the 2 populations PCa prevalence, number and Gleason score (GS) of tumour foci, pathological stage, spatial location, and tumor volume using χ(2), Mann-Whitney-Wilcoxon tests, and multiple logistic regression. All statistical tests were two-sided. RESULTS Three hundred twenty prostates were collected, 220 from CAU men and 100 from ASI mean. The mean age was 62.5 in CAU men and 68.5 years in ASI men (P < .001). PCa prevalences of 37.3% in CAU men and 35.0% in ASI men were observed (P = .70). Average tumor volume was 0.303cm(3). In men aged greater than 60 years, PCa was observed in more than 40% of prostates, reaching nearly 60% in men aged greater than 80 years. GS 7 or greater cancers accounted for 23.1% and 51.4% of all PCa in CAU and ASI men, respectively, (P = .003). When adjusted for age and prostate weight, ASI men still had a greater probability of having GS 7 or greater PCa (P = .03). CONCLUSIONS PCa is found on autopsy in a similar proportion of Russian and Japanese men. More than 50% of cancers in ASI and nearly 25% of cancers in CAU men have a GS of 7 or greater. Our results suggest that the definition of clinically insignificant PCa might be worth re-examining.


Clinical Cancer Research | 2012

Tumor hypoxia predicts biochemical failure following radiotherapy for clinically localized prostate cancer

Michael Milosevic; Padraig Warde; Cynthia Ménard; Peter Chung; Ants Toi; Adrian Ishkanian; M. McLean; Melania Pintilie; Jenna Sykes; Mary Gospodarowicz; Charles Catton; Richard P. Hill; Robert E. Bristow

Purpose: Tumor hypoxia is an important determinant of outcome in many human malignancies and is associated with treatment resistance and metastases. The aim of this study was to determine the effect of hypoxia in patients with prostate cancer treated with radiotherapy. Experimental Design: Tumor hypoxia was measured in 247 patients with clinically localized prostate cancer before radiotherapy, with or without hormonal therapy. The median pO2 was 6.8 mm Hg and the median hypoxic percentage less than 10 mm Hg (HP10) was 63%. The median follow-up was 6.6 years. Results: The 5-year biochemical relapse-free rate (bRFR) was 78%. Prostrate-specific antigen and Gleason score were both associated with biochemical relapse and formed a baseline clinical model. The effect of hypoxia was found to vary with the duration of patient follow-up. HP10, when added to the clinical model, was an independent predictor of early bRFR (P = 0.019). The relationship between hypoxia and early bRFR was more pronounced when the analysis was restricted to 142 patients with bulk tumor at the site of the oxygen measurements (P = 0.004). Hypoxia was the only factor predictive of local recurrence in 70 patients who had biopsies conducted during follow-up (P = 0.043), again with the effect being greatest early after completing treatment. Conclusions: This is the largest clinical study of prostate cancer hypoxia with direct measurement of tumor oxygen levels. It shows that hypoxia is associated with early biochemical relapse after radiotherapy and also with local recurrence in the prostate gland. Clin Cancer Res; 18(7); 2108–14. ©2012 AACR.


Clinical Cancer Research | 2013

Reprogramming Metabolism with Metformin Improves Tumor Oxygenation and Radiotherapy Response

Vanessa E. Zannella; Alan Dal Pra; Hala Muaddi; Trevor D. McKee; Shawn Stapleton; Jenna Sykes; Rachel Glicksman; Selim Chaib; Paul Zamiara; Michael Milosevic; Bradly G. Wouters; Robert G. Bristow; Marianne Koritzinsky

Purpose: Tumor hypoxia is a negative prognostic factor in multiple cancers, due in part to its role in causing resistance to radiotherapy. Hypoxia arises in tumor regions distal to blood vessels as oxygen is consumed by more proximal tumor cells. Reducing the rate of oxygen consumption is therefore a potential strategy to reduce tumor hypoxia. We hypothesized that the anti-diabetic drug metformin, which reduces oxygen consumption through inhibition of mitochondrial complex I, would improve radiation response by increasing tumor oxygenation. Experimental Design: Tumor hypoxia was measured in xenografts before and after metformin treatment using 2-nitroimidazole hypoxia markers quantified by immunohistochemistry (IHC), flow cytometry, and positron emission tomography (PET) imaging. Radiation response was determined by tumor growth delay and clonogenic survival in xenografts with and without administration of metformin. The impact of metformin use on outcome was assessed in 504 patients with localized prostate cancer treated with curative-intent, image-guided radiotherapy (IGRT) from 1996 to 2012. Three-year biochemical relapse-free rates were assessed using the Kaplan–Meier method. Results: Metformin treatment significantly improved tumor oxygenation in two xenograft models as measured by IHC, flow cytometry, and PET imaging. Metformin also led to improved radiotherapy responses when mice were administered metformin immediately before irradiation. Clinically, metformin use was associated with an independent and significant decrease in early biochemical relapse rates (P = 0.0106). Conclusion: Our data demonstrate that metformin can improve tumor oxygenation and response to radiotherapy. Our study suggests that metformin may represent an effective and inexpensive means to improve radiotherapy outcome with an optimal therapeutic ratio. Clin Cancer Res; 19(24); 6741–50. ©2013 AACR.


Cancer | 2012

Copy number alterations of c-MYC and PTEN are prognostic factors for relapse after prostate cancer radiotherapy

Gaetano Zafarana; Adrian Ishkanian; Chad A. Malloff; Jennifer A. Locke; Jenna Sykes; John Thoms; Wan L. Lam; Jeremy A. Squire; Maisa Yoshimoto; Varune Rohan Ramnarine; Alice Meng; Igor Jurisca; Michael Milosevic; Melania Pintilie; Theo H. van der Kwast; Robert G. Bristow

Despite the use of PSA, Gleason score, and T‐category as prognosticators in intermediate‐risk prostate cancer, 20–40% of patients will fail local therapy. In order to optimize treatment approaches for intermediate‐risk patients, additional genetic prognosticators are needed. Previous reports using array comparative genomic hybridization (aCGH) in radical prostatectomy cohorts suggested a combination of allelic loss of the PTEN gene on 10q and allelic gain of the c‐MYC gene on 8q were associated with metastatic disease. We tested whether copy number alterations (CNAs) in PTEN (allelic loss) and c‐MYC (allelic gain) were associated with biochemical relapse following modern‐era, image‐guided radiotherapy (mean dose 76.4 Gy). We used aCGH analyses validated by fluorescence in‐situ hybridization (FISH) of DNA was derived from frozen, pre‐treatment biopsies in 126 intermediate‐risk prostate cancer patients. Patients whose tumors had CNAs in both PTEN and c‐MYC had significantly increased genetic instability (percent genome alteration; PGA) compared to tumors with normal PTEN and c‐MYC status (p < 0.0001). We demonstrate that c‐MYC gain alone, or combined c‐MYC gain and PTEN loss, were increasingly prognostic for relapse on multivariable analyses (hazard ratios (HR) of 2.58/p = 0.005 and 3.21/p = 0.0004; respectively). Triaging patients by the use of CNAs within pre‐treatment biopsies may allow for better use of systemic therapies to target sub‐clinical metastases or locally recurrent disease and improve clinical outcomes. Cancer 2012.


Journal of Thoracic Oncology | 2014

Validation of a Histology-Independent Prognostic Gene Signature for Early-Stage, Non–Small-Cell Lung Cancer Including Stage IA Patients

Sandy D. Der; Jenna Sykes; Melania Pintilie; Chang-Qi Zhu; Dan Strumpf; Ni Liu; Igor Jurisica; Frances A. Shepherd; Ming-Sound Tsao

Background: Patients with early-stage non–small-cell lung carcinoma (NSCLC) may benefit from treatments based on more accurate prognosis. A 15-gene prognostic classifier for NSCLC was identified from mRNA expression profiling of tumor samples from the NCIC CTG JBR.10 trial. In this study, we assessed its value in an independent set of cases. Methods: Expression profiling was performed on RNA from frozen, resected tumor tissues corresponding to 181 stage I and II NSCLC cases collected at University Health Network (UHN181). Kaplan–Meier methodology was used to estimate 5-year overall survival probabilities, and the prognostic effect of the classifier was assessed using the log-rank test. A Cox proportional hazards model evaluated the signature’s effect adjusting for clinical prognostic factors. Results: Expression data of the 15-gene classifier stratified UHN181 cases into high- and low-risk subgroups with significantly different overall survival (hazard ratio [HR] = 1.92; 95% confidence interval [CI], 1.15–3.23; p = 0.012). In a subgroup analysis, this classifier predicted survival in 127 stage I patients (HR = 2.17; 95% CI, 1.12–4.20; p = 0.018) and the smaller subgroup of 48 stage IA patients (HR = 5.61; 95% CI, 1.19–26.45; p = 0.014). The signature was prognostic for both adenocarcinoma and squamous cell carcinoma cases (HR = 1.76, p = 0.058; HR = 4.19, p = 0.045, respectively). Conclusion: The prognostic accuracy of a 15-gene classifier was validated in an independent cohort of 181 early-stage NSCLC samples including stage IA cases and in different NSCLC histologic subtypes.

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Melania Pintilie

Princess Margaret Cancer Centre

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Michael Milosevic

Princess Margaret Cancer Centre

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Gaetano Zafarana

Princess Margaret Cancer Centre

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Ming-Sound Tsao

Princess Margaret Cancer Centre

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Alice Meng

University Health Network

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