Bruce Youngson
University Health Network
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Bruce Youngson.
International Journal of Cancer | 1999
Tianru Jin; Donald R. Branch; Xiaoyun Zhang; Shangle Qi; Bruce Youngson; Paul E. Goss
Abnormal expression of homeobox genes may lead to the development of leukemias, lymphomas, and solid tumors. Expression of homeobox genes in mammary glands, however, has not been studied actively until recently. We have examined the expression of POU homeobox genes in human breast cancer cell lines and human breast tissue samples. Using a pair of degenerate primers for reverse transcription‐polymerase chain reaction (RT‐PCR) followed by DNA sequencing, we found that the human breast cancer cell line, MCF7, expresses at least 4 POU gene products: OCT1, OCT2, OCT3 and OCT11 (Skn‐1a/i, Epoc‐1). The expression of OCT1 and OCT2 in other human breast epithelial cell lines was further determined by Western blot analyses and electrophoretic mobility shift assay. We were unable to detect OCT11 in human breast cancer cell lines using the anti rat Skn‐1a/i antibody, although the expression of this gene in both human breast cancer cell lines and human primary breast tumors was detected by RT‐PCR. OCT3 is an embryonic transcription factor. We found that this gene is also expressed in human breast cancer cell lines and all human primary breast carcinomas examined, but not in normal human breast tissue. Taken together, we have shown that several POU genes are expressed in human breast epithelial cells. As OCT3 expression was detected only in the breast cancerous cells, this embryonic transcription factor could play an important role in mammary gland carcinogenesis. Int. J. Cancer 81:104–112, 1999.
PLOS ONE | 2012
Thomas R. Cawthorn; Juan C. Moreno; Moyez Dharsee; Danh Tran-Thanh; Suzanne Ackloo; Pei Hong Zhu; Girish Sardana; Jian Chen; Peter Kupchak; Lindsay M. Jacks; Naomi Miller; Bruce Youngson; Vladimir Iakovlev; Cynthia J. Guidos; Katherine A. Vallis; Kenneth R. Evans; David R. McCready; Wey L. Leong; Susan J. Done
Background Breast cancer is the most common malignancy among women worldwide in terms of incidence and mortality. About 10% of North American women will be diagnosed with breast cancer during their lifetime and 20% of those will die of the disease. Breast cancer is a heterogeneous disease and biomarkers able to correctly classify patients into prognostic groups are needed to better tailor treatment options and improve outcomes. One powerful method used for biomarker discovery is sample screening with mass spectrometry, as it allows direct comparison of protein expression between normal and pathological states. The purpose of this study was to use a systematic and objective method to identify biomarkers with possible prognostic value in breast cancer patients, particularly in identifying cases most likely to have lymph node metastasis and to validate their prognostic ability using breast cancer tissue microarrays. Methods and Findings Differential proteomic analyses were employed to identify candidate biomarkers in primary breast cancer patients. These analyses identified decorin (DCN) and endoplasmin (HSP90B1) which play important roles regulating the tumour microenvironment and in pathways related to tumorigenesis. This study indicates that high expression of Decorin is associated with lymph node metastasis (p<0.001), higher number of positive lymph nodes (p<0.0001) and worse overall survival (p = 0.01). High expression of HSP90B1 is associated with distant metastasis (p<0.0001) and decreased overall survival (p<0.0001) these patients also appear to benefit significantly from hormonal treatment. Conclusions Using quantitative proteomic profiling of primary breast cancers, two new promising prognostic and predictive markers were found to identify patients with worse survival. In addition HSP90B1 appears to identify a group of patients with distant metastasis with otherwise good prognostic features.
Oncogene | 2014
Paola Cappello; H. Blaser; Chiara Gorrini; D. C. C. Lin; Andrew J. Elia; Andrew Wakeham; S. Haider; P. C. Boutros; Jacqueline M. Mason; Naomi Miller; Bruce Youngson; Susan J. Done; Tak W. Mak
Breast cancer is the most common solid tumor and the second most common cause of death in women. Despite a large body of literature and progress in breast cancer research, many molecular aspects of this complex disease are still poorly understood, hindering the design of specific and effective therapeutic strategies. To identify the molecules important in breast cancer progression and metastasis, we tested the in vivo effects of inhibiting the functions of various kinases and genes involved in the regulation/modulation of the cytoskeleton by downregulating them in mouse PyMT mammary tumor cells and human breast cancer cell lines. These kinases and cytoskeletal regulators were selected based on their prognostic values for breast cancer patient survival. PyMT tumor cells, in which a selected gene was stably knocked down were injected into the tail veins of mice, and the formation of tumors in the lungs was monitored. One of the several genes found to be important for tumor growth in the lungs was NIMA-related kinases 2 (Nek2), a cell cycle-related protein kinase. Furthermore, Nek2 was also important for tumor growth in the mammary fat pad. In various human breast cancer cell lines, Nek2 knockdown induced aneuploidy and cell cycle arrest that led to cell death. Significantly, the breast cancer cell line most sensitive to Nek2 depletion was of the triple negative breast cancer subtype. Our data indicate that Nek2 has a pivotal role in breast cancer growth at primary and secondary sites, and thus may be an attractive and novel therapeutic target for this disease.
International Journal of Radiation Oncology Biology Physics | 2014
Nafisha Lalani; Lawrence Paszat; Rinku Sutradhar; Deva Thiruchelvam; Sharon Nofech-Mozes; Wedad Hanna; Elzbieta Slodkowska; Susan J. Done; Naomi Miller; Bruce Youngson; Alan Tuck; Sandip K. SenGupta; Leela Elavathil; Martin C. Chang; Prashant A. Jani; Michel Bonin; Eileen Rakovitch
PURPOSE Whole-breast radiation therapy (XRT) after breast-conserving surgery (BCS) for ductal carcinoma in situ (DCIS) may decrease the risk of local recurrence, but the optimal dose regimen remains unclear. Past studies administered 50 Gy in 25 fractions (conventional); however, treatment pattern studies report that hypofractionated (HF) regimens (42.4 Gy in 16 fractions) are frequently used. We report the impact of HF (vs conventional) on the risk of local recurrence after BCS for DCIS. METHODS AND MATERIALS All women with DCIS treated with BCS and XRT in Ontario, Canada from 1994 to 2003 were identified. Treatment and outcomes were assessed through administrative databases and validated by chart review. Survival analyses were performed. To account for systematic differences between women treated with alternate regimens, we used a propensity score adjustment approach. RESULTS We identified 1609 women, of whom 971 (60%) received conventional regimens and 638 (40%) received HF. A total of 489 patients (30%) received a boost dose, of whom 143 (15%) received conventional radiation therapy and 346 (54%) received HF. The median follow-up time was 9.2 years. The median age at diagnosis was 56 years (interquartile range [IQR], 49-65 years). On univariate analyses, the 10-year actuarial local recurrence-free survival was 86% for conventional radiation therapy and 89% for HF (P=.03). On multivariable analyses, age <45 years (hazard ratio [HR] = 2.4; 95% CI: 1.6-3.4; P<.0001), high (HR=2.9; 95% CI: 1.2-7.3; P=.02) or intermediate nuclear grade (HR=2.7; 95% CI: 1.1-6.6; P=.04), and positive resection margins (HR=1.4; 95% CI: 1.0-2.1; P=.05) were associated with an increased risk of local recurrence. HF was not significantly associated with an increased risk of local recurrence compared with conventional radiation therapy on multivariate analysis (HR=0.8; 95% CI: 0.5-1.2; P=.34). CONCLUSIONS The risk of local recurrence among individuals treated with HF regimens after BCS for DCIS was similar to that among individuals treated with conventional radiation therapy.
International Journal of Radiation Oncology Biology Physics | 2013
Eileen Rakovitch; Steven A. Narod; Sharon Nofech-Moses; Wedad Hanna; Deva Thiruchelvam; Refik Saskin; C. Taylor; Alan B. Tuck; Bruce Youngson; Naomi Miller; Susan J. Done; Sandip K. SenGupta; Leela Elavathil; Prashant Jani; Michel Bonin; Stephanie Metcalfe; Lawrence Paszat
PURPOSE To report the outcomes of a population of women with ductal carcinoma in situ (DCIS) treated with breast-conserving surgery and radiation and to evaluate the independent effect of boost radiation on the development of local recurrence. METHODS AND MATERIALS All women diagnosed with DCIS and treated with breast-conserving surgery and radiation therapy in Ontario from 1994 to 2003 were identified. Treatments and outcomes were identified through administrative databases and validated by chart review. The impact of boost radiation on the development of local recurrence was determined using survival analyses. RESULTS We identified 1895 cases of DCIS that were treated by breast-conserving surgery and radiation therapy; 561 patients received boost radiation. The cumulative 10-year rate of local recurrence was 13% for women who received boost radiation and 12% for those who did not (P=.3). The 10-year local recurrence-free survival (LRFS) rate among women who did and who did not receive boost radiation was 88% and 87%, respectively (P=.27), 94% and 93% for invasive LRFS (P=.58), and was 95% and 93% for DCIS LRFS (P=.31). On multivariable analyses, boost radiation was not associated with a lower risk of local recurrence (hazard ratio = 0.82, 95% confidence interval 0.59-1.15) (P=.25). CONCLUSIONS Among a population of women treated with breast-conserving surgery and radiation for DCIS, additional (boost) radiation was not associated with a lower risk of local or invasive recurrence.
BMC Cancer | 2011
Al Muktafi Sadi; Dong-Yu Wang; Bruce Youngson; Naomi Miller; Scott L. Boerner; Susan J. Done; Wey L. Leong
BackgroundThe ability of gene profiling to predict treatment response and prognosis in breast cancers has been demonstrated in many studies using DNA microarray analyses on RNA from fresh frozen tumor specimens. In certain clinical and research situations, performing such analyses on archival formalin fixed paraffin-embedded (FFPE) surgical specimens would be advantageous as large libraries of such specimens with long-term follow-up data are widely available. However, FFPE tissue processing can cause fragmentation and chemical modifications of the RNA. A number of recent technical advances have been reported to overcome these issues. Our current study evaluates whether or not the technology is ready for clinical applications.MethodsA modified RNA extraction method and a recent DNA microarray technique, cDNA-mediated annealing, selection, extension and ligation (DASL, Illumina Inc) were evaluated. The gene profiles generated from FFPE specimens were compared to those obtained from paired fresh fine needle aspiration biopsies (FNAB) of 25 breast cancers of different clinical subtypes (based on ER and Her2/neu status). Selected RNA levels were validated using RT-qPCR, and two public databases were used to demonstrate the prognostic significance of the gene profiles generated from FFPE specimens.ResultsCompared to FNAB, RNA isolated from FFPE samples was relatively more degraded, nonetheless, over 80% of the RNA samples were deemed suitable for subsequent DASL assay. Despite a higher noise level, a set of genes from FFPE specimens correlated very well with the gene profiles obtained from FNAB, and could differentiate breast cancer subtypes. Expression levels of these genes were validated using RT-qPCR. Finally, for the first time we correlated gene expression profiles from FFPE samples to survival using two independent microarray databases. Specifically, over-expression of ANLN and KIF2C, and under-expression of MAPT strongly correlated with poor outcomes in breast cancer patients.ConclusionWe demonstrated that FFPE specimens retained important prognostic information that could be identified using a recent gene profiling technology. Our study supports the use of FFPE specimens for the development and refinement of prognostic gene signatures for breast cancer. Clinical applications of such prognostic gene profiles await future large-scale validation studies.
Genes, Chromosomes and Cancer | 2009
Chunjie Wang; Vladimir Iakovlev; Vietty Wong; Stephanie Leung; Keisha Warren; Gaiane Iakovleva; Nona Arneson; Melania Pintilie; Naomi Miller; Bruce Youngson; David R. McCready; Susan J. Done
Metastatic potential of breast cancer may be associated with specific genomic alterations and the earliest metastases are likely to be found in the sentinel lymph nodes (SLN). Using array comparative genomic hybridization (aCGH), we compared the genomes of primary breast invasive duct carcinomas (IDCs), their sentinel and more distal lymph node metastases, and IDCs without nodal metastasis. Thirty‐three samples from 22 patients with IDC were subjected to aCGH: 8 IDC samples from patients without lymph node metastasis, 11 IDCs associated with SLN metastases out of which 7 had paired samples of metastases, and 14 samples of lymph node metastases out of which 8 were sentinel‐distal pairs from 4 patients. aCGH data were analyzed by correlation of genomic profiles, cluster analysis, segmentation, and peak identification. Quantitative real‐time PCR was used for data validation. We observed high genomic similarity between primary tumors and their nodal metastases as well as between metastases to the sentinel and distal lymph nodes. Several recurrent alterations were detected preferentially in IDC associated with SLN metastases compared to IDCs without metastasis. Amplification within the 17q24.1‐24.2(59.96–62.76 Mb) region was associated with presence of sentinel or distal lymph node metastases; larger tumor size and higher histological grade. In our samples, there were genomic events associated with metastatic progression, which could be detected in both primary tumors and LN metastases. Gain on 17q24.1‐24.2 is a candidate region for further testing as a predictor of nodal metastasis.
Cancer immunology research | 2015
Ramtin Rahbar; Albert Lin; Magar Ghazarian; Helen-Loo Yau; Sangeetha Paramathas; Philipp A. Lang; Anita Schildknecht; Alisha R. Elford; Carlos Garcia-Batres; Bernard Martin; Hal K. Berman; Wey L. Leong; David R. McCready; Michael Reedijk; Susan J. Done; Naomi Miller; Bruce Youngson; Woong-Kyung Suh; Tak W. Mak; Pamela S. Ohashi
Rahbar and colleagues show that B7-H4 promotes antitumor immunity against mouse mammary cancer and insulinomas and that its expression levels correlate with those of MHC class I in mouse and human tumors; high B7-H4 expression is associated with improved recurrence-free survival in breast cancer patients. The B7 family plays a critical role in both positive and negative regulation of immune responses by engaging a variety of receptors on lymphocytes. Importantly, blocking coinhibitory molecules using antibodies specific for CTLA-4 and PD-1 enhances tumor immunity in a subset of patients. Therefore, it is critical to understand the role of different B7 family members since they may be suitable therapeutic targets. B7-H4 is another member that inhibits T-cell function, and it is also upregulated on a variety of tumors and has been proposed to promote tumor growth. Here, we investigate the role of B7-H4 in tumor development and show that B7-H4 expression inhibits tumor growth in two mouse models. Furthermore, we show that B7-H4 expression is required for antitumor immune responses in a mouse model of mammary tumorigenesis. We found that the expression levels of B7-H4 correlate with MHC class I expression in both mouse and human samples. We show that IFNγ upregulates B7-H4 expression on mouse embryo fibroblasts and that the upregulation of B7-H4 on tumors is dependent on T cells. Notably, patients with breast cancer with increased B7-H4 expression show a prolonged time to recurrence. These studies demonstrate a positive role for B7-H4 in promoting antitumor immunity. Cancer Immunol Res; 3(2); 184–95. ©2014 AACR.
Archives of Pathology & Laboratory Medicine | 2007
Ann Marie McKenna; Melania Pintilie; Bruce Youngson; Susan J. Done
CONTEXT Phyllodes tumors of the breast are uncommon, comprising 0.3% to 0.9% of female primary breast tumors. Owing in part to their rarity, definitive, objective, reproducible morphologic criteria that reliably distinguish benign from low-grade malignant or malignant phyllodes tumors have yet to be established. OBJECTIVE To use image analysis to quantitate and compare morphologic features of different groups of fibroepithelial tumors (FETs) of the breast. DESIGN Hematoxylin-eosin-stained sections of 41 FETs previously identified as fibroadenoma, benign phyllodes, low-grade malignant phyllodes, or high-grade malignant phyllodes were blinded and studied using a Leica DMRA2 microscope and OpenLab Image Analysis software. Features measured included mitotic rate per 10 high-power fields, stromal cellularity, nuclear size, stromal overgrowth, and the largest and smallest stromal-epithelial surface area ratios. Epithelial appearance was measured on a semiquantitative basis. Features of each case including tumor size, margin status, and the presence of necrosis or heterologous elements were also considered; these data were retrieved from surgical pathology reports. RESULTS Quantitative measures of stromal cellularity, stromal-epithelial ratio, mitotic rate, stromal overgrowth, and mean nuclear diameter were developed and found to stratify a population of FETs by the current classification system of fibroadenoma, benign, and low-grade or high-grade malignant phyllodes tumor. CONCLUSIONS Quantitative morphologic features of FETs can be used to stratify these tumors by subtype. Use of these quantitative criteria could reduce interrater variability in histologically identifying FETs by subclass.
Nature Communications | 2017
Moustafa Abdalla; Danh Tran-Thanh; Juan Moreno; Vladimir Iakovlev; Ranju Nair; Nisha Kanwar; Mohamed A. Y. Abdalla; Jennifer P. Y. Lee; Jennifer Y. Y. Kwan; Thomas R. Cawthorn; Keisha Warren; Nona Arneson; Dong-Yu Wang; Natalie S. Fox; Bruce Youngson; Naomi Miller; Alexandra M. Easson; David R. McCready; Wey L. Leong; Paul C. Boutros; Susan J. Done
Almost all genomic studies of breast cancer have focused on well-established tumours because it is technically challenging to study the earliest mutational events occurring in human breast epithelial cells. To address this we created a unique dataset of epithelial samples ductoscopically obtained from ducts leading to breast carcinomas and matched samples from ducts on the opposite side of the nipple. Here, we demonstrate that perturbations in mRNA abundance, with increasing proximity to tumour, cannot be explained by copy number aberrations. Rather, we find a possibility of field cancerization surrounding the primary tumour by constructing a classifier that evaluates where epithelial samples were obtained relative to a tumour (cross-validated micro-averaged AUC = 0.74). We implement a spectral co-clustering algorithm to define biclusters. Relating to over-represented bicluster pathways, we further validate two genes with tissue microarrays and in vitro experiments. We highlight evidence suggesting that bicluster perturbation occurs early in tumour development.Studying the spatial mutational and gene expression alterations in breast cancer could impact our understanding of breast cancer development. Here, the authors analyse a unique dataset of epithelial samples that highlight potential field cancerisation surrounding the primary tumour.