N
Natalie Kurganovs
Researcher at Princess Margaret Cancer Centre
Publications - 11
Citations - 527
Natalie Kurganovs is an academic researcher from Princess Margaret Cancer Centre. The author has contributed to research in topics: Prostate cancer & Cancer. The author has an hindex of 5, co-authored 7 publications receiving 408 citations. Previous affiliations of Natalie Kurganovs include Ontario Institute for Cancer Research & Royal Melbourne Hospital.
Papers
More filters
Journal ArticleDOI
Tracking the origins and drivers of subclonal metastatic expansion in prostate cancer
Matthew K.H. Hong,Geoff Macintyre,David C. Wedge,Peter Van Loo,Keval M. Patel,Sebastian Lunke,Ludmil B. Alexandrov,Clare Sloggett,Marek Cmero,Francesco Marass,Dana W.Y. Tsui,Stefano Mangiola,Andrew Lonie,Haroon Naeem,Nikhil Sapre,Pramit M. Phal,Natalie Kurganovs,Xiaowen Chin,Michael Kerger,Anne Y. Warren,David E. Neal,Vincent Gnanapragasam,Nitzan Rosenfeld,John Pedersen,Andrew Ryan,Izhak Haviv,Anthony J. Costello,Niall M. Corcoran,Christopher M. Hovens +28 more
TL;DR: The precise direction of metastatic spread is revealed across four lethal prostate cancer patients using whole-genome and ultra-deep targeted sequencing of longitudinally collected primary and metastatic tumours and analysis of mutations associated with metastasis reveals an enrichment of TP53 mutations.
Journal ArticleDOI
The Proteogenomic Landscape of Curable Prostate Cancer.
Ankit Sinha,Vincent Huang,Julie Livingstone,Jenny Wang,Jenny Wang,Natalie S. Fox,Natalie S. Fox,Natalie Kurganovs,Natalie Kurganovs,Vladimir Ignatchenko,Katharina Fritsch,Katharina Fritsch,Nilgun Donmez,Lawrence E. Heisler,Yu Jia Shiah,Cindy Q. Yao,Javier A. Alfaro,Javier A. Alfaro,Stas Volik,Anna Lapuk,Michael Fraser,Ken Kron,Alex Murison,Mathieu Lupien,Mathieu Lupien,Mathieu Lupien,Cenk Sahinalp,Colin Collins,Colin Collins,Bernard Têtu,Mehdi Masoomian,David M. Berman,Theodorus van der Kwast,Theodorus van der Kwast,Robert G. Bristow,Robert G. Bristow,Thomas Kislinger,Thomas Kislinger,Paul C. Boutros +38 more
TL;DR: It is discovered that the genomic subtypes of prostate cancer converge on five proteomic subtypes, with distinct clinical trajectories, and prognostic biomarkers combining genomic or epigenomic features with proteomic ones significantly outperform biomarkers comprised of a single data type.
Journal ArticleDOI
Comparing nodal versus bony metastatic spread using tumour phylogenies
Stefano Mangiola,Matthew K.H. Hong,Marek Cmero,Natalie Kurganovs,Andrew Ryan,Anthony J. Costello,Anthony J. Costello,Niall M. Corcoran,Niall M. Corcoran,Geoff Macintyre,Christopher M. Hovens,Christopher M. Hovens +11 more
TL;DR: It is shown that metastatic cells in regional lymph nodes originate from evolutionary advanced extraprostatic tumour cells rather than less advanced central tumour cell populations, which suggests that lymph node metastases may not be an intermediate developmental step for distant osseous metastases, but rather represent a distinct metastatic lineage.
Journal ArticleDOI
Androgen deprivation therapy promotes an obesity-like microenvironment in periprostatic fat.
Stefano Mangiola,Stefano Mangiola,Stefano Mangiola,Ryan Stuchbery,Patrick McCoy,Patrick McCoy,Ken Chow,Ken Chow,Natalie Kurganovs,Michael Kerger,Anthony T. Papenfuss,Christopher M. Hovens,Christopher M. Hovens,Niall M. Corcoran,Niall M. Corcoran,Niall M. Corcoran +15 more
TL;DR: It is found that the deprivation of androgen is associated with a pro-inflammatory and obesity-like adipose tissue microenvironment, which suggests that the beneficial effect of therapies based on androgen deprivation may be partially counteracted by metabolic and inflammatory side effects in the adipose tissues surrounding the prostate.
Journal ArticleDOI
3D modelling of radical prostatectomy specimens: Developing a method to quantify tumor morphometry for prostate cancer risk prediction
Marcus C. Hovens,Kevin Lo,Michael Kerger,John Pedersen,Timothy Nottle,Natalie Kurganovs,Andrew Ryan,Justin S. Peters,Daniel Moon,Anthony J. Costello,Niall M. Corcoran,Matthew K.H. Hong +11 more
TL;DR: This work aimed to develop a method of creating three-dimensional models of a prostate's pathological state post radical prostatectomy that allowed the derivation of surface areas and volumes of both prostate and tumors, to assess the method's accuracy to known clinical data, and to perform initial investigation into the utility of morphometric variables in prostate cancer prognostication.