Evidence map›Paper›PMID 21686133›Full record

ArticleInternational journal of molecular epidemiology and genetics2011

Polymorphisms in ABCB1 and ERCC2 associated with ovarian cancer outcome.

Prema Peethambaram, Brooke L Fridley, Robert A Vierkant, Melissa C Larson, Kimberly R Kalli, Elaine A Elliott, Ann L Oberg, Kristin L White, David N Rider, Gary L Keeney and 3 more

Abstract read
In one paragraph

Article in International journal of molecular epidemiology and genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Prema Peethambaram
Brooke L Fridley
Robert A Vierkant
Melissa C Larson
Kimberly R Kalli
Elaine A Elliott
Ann L Oberg
Kristin L White
David N Rider
Gary L Keeney
Julie M Cunningham
Lynn C Hartmann
Ellen L Goode
Mayo Clinic · US

Funding

Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI Zhenkun Lou · 2009 to 2026
$37.0M
Genetic Variation in the NF-kappaB Pathway and Ovarian Cancer EtiologyR01CA122443 · NCI · MAYO CLINIC ROCHESTER · PI GOODE, ELLEN L. · 2007 to 2012
$2.7M
NCI NIH HHS P50 CA136393NCI NIH HHS R01 CA122443
6 · The paper itself

Abstract

Using the most comprehensive approach to selecting polymorphisms to date, we sought to examine whether time to recurrence in ovarian cancer was associated with common inherited variation in eight genes involved in drug metabolism, multi-drug resistance, or DNA repair, namely ABCB1, CYP2C8, CYP3A4, ERCC1, ERCC2, GSTM1, XPC, and XRCC1. Invasive epithelial ovarian cancer patients (N=445) seen at the Mayo Clinic from 1999 to 2009 with 275 observed recurrences or deaths were analyzed at 94 SNPs in these candidate genes. Cox regression was used to estimate hazard ratios and 95% confidence intervals for each single nucleotide polymorphism (SNP) and outcome (defined as time to recurrence or death). Analyses were conducted at the gene level and on case subsets defined by histopathology and chemotherapeutic agent. At ABCB1, minor alleles at several SNPs were associated with outcome, with the most significant being the intronic SNP rs12334183 (HR=0.65, 95% Cl 0.51-0.83; p=0.0005). Overall variation in ABCB1 was predictive of outcome as well (p=0.003). At ERCC2, minor alleles at several SNPs were associated with outcome among women with high-grade serous disease (e.g., rs238417, HR 0.74, 95% Cl 0.59-0.92; p=0.006). No associations with outcome were observed in GSTM1, CYP2C8, CYP3A4, ERCC1, XPC, or XRCC1. In summary, inherited variation in ABCB1 and ERCC2 was associated with outcome in patients with ovarian cancer seen at the Mayo Clinic. As the associated SNPs have not been studied previously in ovarian cancer, these findings suggest novel sites of variation which may, in part, explain the range of treatment responses seen in this disease.

Indexed as

drug-related variantsmetabolismOvarian cancer

Identifiers

PMID21686133
PMCPMC3110393
OpenAlexW175336290

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.