2.50
Hdl Handle:
http://hdl.handle.net/10541/620157
Title:
Novel risk models for early detection and screening of ovarian cancer.
Authors:
Russell, M; D'Amato, A; Graham, C; Crosbie, E; Gentry-Maharaj, A; Ryan, A; Kalsi, J; Fourkala, E; Dive, Caroline ( 0000-0002-1726-8850 ) ; Walker, M; Whetton, A; Menon, U; Jacobs, I; Graham, R
Abstract:
Ovarian cancer (OC) is the most lethal gynaecological cancer. Early detection is required to improve patient survival. Risk estimation models were constructed for Type I (Model I) and Type II (Model II) OC from analysis of Protein Z, Fibronectin, C-reactive protein and CA125 levels in prospectively collected samples from the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS).
Affiliation:
Stoller Biomarker Discovery Centre and Pathology Node, Division of Molecular and Clinical Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester
Citation:
Novel risk models for early detection and screening of ovarian cancer. 2017, 8(1):785-797 Oncotarget
Journal:
Oncotarget
Issue Date:
3-Jan-2017
URI:
http://hdl.handle.net/10541/620157
DOI:
10.18632/oncotarget.13648
PubMed ID:
27903971
Type:
Article
Language:
en
ISSN:
1949-2553
Appears in Collections:
All Paterson Institute for Cancer Research

Full metadata record

DC FieldValue Language
dc.contributor.authorRussell, Men
dc.contributor.authorD'Amato, Aen
dc.contributor.authorGraham, Cen
dc.contributor.authorCrosbie, Een
dc.contributor.authorGentry-Maharaj, Aen
dc.contributor.authorRyan, Aen
dc.contributor.authorKalsi, Jen
dc.contributor.authorFourkala, Een
dc.contributor.authorDive, Carolineen
dc.contributor.authorWalker, Men
dc.contributor.authorWhetton, Aen
dc.contributor.authorMenon, Uen
dc.contributor.authorJacobs, Ien
dc.contributor.authorGraham, Ren
dc.date.accessioned2017-02-15T13:07:58Z-
dc.date.available2017-02-15T13:07:58Z-
dc.date.issued2017-01-03-
dc.identifier.citationNovel risk models for early detection and screening of ovarian cancer. 2017, 8(1):785-797 Oncotargeten
dc.identifier.issn1949-2553-
dc.identifier.pmid27903971-
dc.identifier.doi10.18632/oncotarget.13648-
dc.identifier.urihttp://hdl.handle.net/10541/620157-
dc.description.abstractOvarian cancer (OC) is the most lethal gynaecological cancer. Early detection is required to improve patient survival. Risk estimation models were constructed for Type I (Model I) and Type II (Model II) OC from analysis of Protein Z, Fibronectin, C-reactive protein and CA125 levels in prospectively collected samples from the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS).en
dc.language.isoenen
dc.rightsArchived with thanks to Oncotargeten
dc.titleNovel risk models for early detection and screening of ovarian cancer.en
dc.typeArticleen
dc.contributor.departmentStoller Biomarker Discovery Centre and Pathology Node, Division of Molecular and Clinical Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchesteren
dc.identifier.journalOncotargeten

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