Marion Curtis

Dr. Marion Curtis

Department of Immunology, Mayo Clinic, Scottsdale, Arizona, USA
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2019 in Nature
Verified
Journal Article
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MEMark Eckert
Mark Eckert
FCFabian Coscia
Fabian Coscia
ACAgnieszka Chryplewicz
Agnieszka Chryplewicz
JCJae Won Chang
Jae Won Chang
KHKyle M. Hernandez
Kyle M. Hernandez
ELErnst Lengyel
Ernst Lengyel

1 January 2019 in Cell Metabolism
Verified
Journal Article
Closed access
MCMarion Curtis
Marion Curtis
HKHilary A. Kenny
Hilary A. Kenny
BABradley Ashcroft
Bradley Ashcroft
AMAbir Mukherjee
Abir Mukherjee
AJAlyssa Johnson
Alyssa Johnson
ELErnst Lengyel
Ernst Lengyel

26 August 2016 in Nature Communications
Verified
Journal Article
Open access
PDF file
FCFabian Coscia
Fabian Coscia
KWK. M. Watters
K. M. Watters
MCMarion Curtis
Marion Curtis
MEMark Eckert
Mark Eckert
CCC. Y. Chiang
C. Y. Chiang
MMM. Mann
M. Mann
A cell line representative of human high-grade serous ovarian cancer (HGSOC) should not only resemble its tumour of origin at the molecular level, but also demonstrate functional utility in pre-clinical investigations. Here, we report the integrated proteomic analysis of 26 ovarian cancer cell lines, HGSOC tumours, immortalized ovarian surface epithelial cells and fallopian tube epithelial cells via a single-run mass spectrometric workflow. The in-depth quantification of >10,000 proteins results in three distinct cell line categories: epithelial (group I), clear cell (group II) and mesenchymal (group III). We identify a 67-protein cell line signature, which separates our entire proteomic data set, as well as a confirmatory publicly available CPTAC/TCGA tumour proteome data set, into a predominantly epithelial and mesenchymal HGSOC tumour cluster. This proteomics-based epithelial/mesenchymal stratification of cell lines and human tumours indicates a possible origin of HGSOC either from the fallopian tube or from the ovarian surface epithelium.

1 September 2018 in Cell
Verified
Journal Article
Closed access
FCFabian Coscia
Fabian Coscia
ELErnst Lengyel
Ernst Lengyel
JDJaikumar Duraiswamy
Jaikumar Duraiswamy
BABradley Ashcroft
Bradley Ashcroft
MBMichal Bassani-Sternberg
Michal Bassani-Sternberg
MCMarion Curtis
Marion Curtis

1 April 2019 in Molecular Cancer Research
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Journal Article
Open access
PDF file
Peter HartPeter Hart
Peter Hart
TCTatsuyuki Chiyoda
Tatsuyuki Chiyoda
Xiaojing LiuXiaojing Liu
Xiaojing Liu
MWMelanie Weigert
Melanie Weigert
MCMarion Curtis
Marion Curtis
IRIris L. Romero
Iris L. Romero
The role of phospholipid signaling in ovarian cancer is poorly understood. Sphingosine-1-phosphate (S1P) is a bioactive metabolite of sphingosine that has been associated with tumor progression through enhanced cell proliferation and motility. Similarly, sphingosine kinases (SPHK), which catalyze the formation of S1P and thus regulate the sphingolipid rheostat, have been reported to promote tumor growth in a variety of cancers. The findings reported here show that exogenous S1P or overexpression of SPHK1 increased proliferation, migration, invasion, and stem-like phenotypes in ovarian cancer cell lines. Likewise, overexpression of SPHK1 markedly enhanced tumor growth in a xenograft model of ovarian cancer, which was associated with elevation of key markers of proliferation and stemness. The diabetes drug, metformin, has been shown to have anticancer effects. Here, we found that ovarian cancer patients taking metformin had significantly reduced serum S1P levels, a finding that was recapitulated when ovarian cancer cells were treated with metformin and analyzed by lipidomics. These findings suggested that in cancer the sphingolipid rheostat may be a novel metabolic target of metformin. In support of this, metformin blocked hypoxia-induced SPHK1, which was associated with inhibited nuclear translocation and transcriptional activity of hypoxia-inducible factors (HIF1α and HIF2α). Further, ovarian cancer cells with high SPHK1 were found to be highly sensitive to the cytotoxic effects of metformin, whereas ovarian cancer cells with low SPHK1 were resistant. Together, the findings reported here show that hypoxia-induced SPHK1 expression and downstream S1P signaling promote ovarian cancer progression and that tumors with high expression of SPHK1 or S1P levels might have increased sensitivity to the cytotoxic effects of metformin.Implications: Metformin targets sphingolipid metabolism through inhibiting SPHK1, thereby impeding ovarian cancer cell migration, proliferation, and self-renewal.