Dataset Information

Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome.

ABSTRACT: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes.Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000-observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates.We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined.These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies.These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed.

SUBMITTER: White KL

PROVIDER: S-EPMC3650102 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature

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Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome.

White Kristin L KL Vierkant Robert A RA Fogarty Zachary C ZC Charbonneau Bridget B Block Matthew S MS Pharoah Paul D P PD Chenevix-Trench Georgia G Rossing Mary Anne MA Cramer Daniel W DW Pearce Celeste Leigh CL Schildkraut Joellen M JM Menon Usha U Kjaer Susanne Kruger SK Levine Douglas A DA Gronwald Jacek J Culver Hoda Anton HA Whittemore Alice S AS Karlan Beth Y BY Lambrechts Diether D Wentzensen Nicolas N Kupryjanczyk Jolanta J Chang-Claude Jenny J Bandera Elisa V EV Hogdall Estrid E Heitz Florian F Kaye Stanley B SB Fasching Peter A PA Campbell Ian I Goodman Marc T MT Pejovic Tanja T Bean Yukie Y Lurie Galina G Eccles Diana D Hein Alexander A Beckmann Matthias W MW Ekici Arif B AB Paul James J Brown Robert R Flanagan James M JM Harter Philipp P du Bois Andreas A Schwaab Ira I Hogdall Claus K CK Lundvall Lene L Olson Sara H SH Orlow Irene I Paddock Lisa E LE Rudolph Anja A Eilber Ursula U Dansonka-Mieszkowska Agnieszka A Rzepecka Iwona K IK Ziolkowska-Seta Izabela I Brinton Louise L Yang Hannah H Garcia-Closas Montserrat M Despierre Evelyn E Lambrechts Sandrina S Vergote Ignace I Walsh Christine C Lester Jenny J Sieh Weiva W McGuire Valerie V Rothstein Joseph H JH Ziogas Argyrios A Lubinski Jan J Cybulski Cezary C Menkiszak Janusz J Jensen Allan A Gayther Simon A SA Ramus Susan J SJ Gentry-Maharaj Aleksandra A Berchuck Andrew A Wu Anna H AH Pike Malcolm C MC Van Denberg David D Terry Kathryn L KL Vitonis Allison F AF Doherty Jennifer A JA Johnatty Sharon E SE Defazio Anna A Song Honglin H Tyrer Jonathan J Sellers Thomas A TA Phelan Catherine M CM Kalli Kimberly R KR Cunningham Julie M JM Fridley Brooke L BL Goode Ellen L EL

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20130319 5

<h4>Background</h4>Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes.<h4>Methods</h4>Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genot ...[more]

PMID: 23513043

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Project description:Listeria species are Gram-positive, rod-shaped, facultative anaerobic bacteria, which do not produce endospores. The genus, Listeria, currently comprises 17 characterised species of which only two (L. monocytogenes and L. ivanovii) are known to be pathogenic to humans. Food products and related processing environments are commonly contaminated with pathogenic species. Outbreaks and sporadic cases of human infections resulted in considerable economic loss. South Africa witnessed the world's largest listeriosis outbreak, characterised by a progressive increase in cases of the disease from January 2017 to July 2018. Of the 1060 laboratory-confirmed cases of listeriosis reported by the National Institute of Communicable Diseases (NICD), 216 deaths were recorded. Epidemiological investigations indicated that ready-to-eat processed meat products from a food production facility contaminated with L. monocytogenes was responsible for the outbreak. Multilocus sequence typing (MLST) revealed that a large proportion (91%) of the isolates from patients were sequence type 6 (ST6). Recent studies revealed a recurrent occurrence of small outbreaks of listeriosis with more severe side-effects in humans. This review provides a comparative analysis of a recently reported and most severe outbreak of listeriosis in South Africa, with those previously encountered in other countries worldwide. The review focuses on the transmission of the pathogen, clinical symptoms of the disease and its pathogenicity. The review also focuses on the major outbreaks of listeriosis reported in different parts of the world, sources of contamination, morbidity, and mortality rates as well as cost implications. Based on data generated during the outbreak of the disease in South Africa, listeriosis was added to the South African list of mandatory notifiable medical conditions. Surveillance systems were strengthened in the South African food chain in order to assist in preventing and facilitating early detection of both sporadic cases and outbreaks of infections caused by these pathogens in humans.

Dataset Information

Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome.

Publications

Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome.

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