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A comprehensive evaluation of the role of genetic variation in follicular lymphoma survival

Baecklund, Fredrik (author)
Karolinska Institutet
Foo, Jia-Nee (author)
Bracci, Paige (author)
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Darabi, Hatef (author)
Karolinska Institutet
Karlsson, Robert (author)
Karolinska Institutet
Hjalgrim, Henrik (author)
Karolinska Institutet
Rosenquist Brandell, Richard (author)
Uppsala universitet,Hematologi och immunologi,Science for Life Laboratory, SciLifeLab
Adami, Hans-Olov (author)
Glimelius, Bengt (author)
Uppsala universitet,Enheten för onkologi
Melbye, Mads (author)
Conde, Lucia (author)
Liu, Jianjun (author)
Humphreys, Keith (author)
Karolinska Institutet
Skibola, Christine F. (author)
Smedby, Karin E. (author)
Karolinska Institutet
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 (creator_code:org_t)
2014-10-08
2014
English.
In: BMC Medical Genetics. - : Springer Science and Business Media LLC. - 1471-2350. ; 15, s. 113-
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Background: Survival in follicular lymphoma (FL) is highly variable, even within prognostic groups defined by tumor grade and the Follicular Lymphoma International Prognostic Index. Studies suggest that germline single nucleotide polymorphisms (SNPs) may hold prognostic information but further investigation is needed. Methods: We explored the association between SNPs and FL outcome using two approaches: 1) Two independent genome-wide association studies (GWAS) of similar to 300.000 SNPs followed by a meta-analysis encompassing 586 FL patients diagnosed in Denmark/Sweden 1999-2002 and in the United States 2001-2006; and 2) Investigation of 22 candidate-gene variants previously associated with FL outcome in the Danish/Swedish cohort (N = 373). We estimated time to lymphoma-specific death (approach 1 and 2) and lymphoma progression (approach 2) with hazard ratios (HR) and 95% confidence intervals (CI) in a multivariable Cox regression model. Results: In the GWAS meta-analysis, using a random effects model, no variants were associated with lymphoma-specific death at a genome-wide significant level (p < 5.0x10(-8)). The strongest association was observed for tightly linked SNPs on 17q24 near the ABCA10 and ABCA6 genes (rs10491178 HRrandom = 3.17, 95% CI 2.09-4.79, prandom = 5.24x10(-8)). The ABCA10 and ABCA6 genes belong to a family of genes encoding for ABC transporter proteins, implicated in multidrug resistance. In line with a previous study, rs2466571 in CD46 (HR = 0.73, 95% CI 0.58-0.91, p = 0.006) showed nominal association with lymphoma progression, as did two highly linked SNPs in IL8 (rs4073 HR = 0.78, 95% CI 0.62-0.97, p = 0.02; rs2227307 HR = 0.75, 95% CI 0.60-0.94, p = 0.01) previously associated with overall survival. Conclusions: The results suggest a possible role for multidrug resistance in FL survival and add to the evidence that genetic variation in CD46 and IL8 may have prognostic implications in FL. Our findings need further confirmation in other independent populations or in a larger multicenter GWAS.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Keyword

Follicular lymphoma
Prognosis
Single nucleotide polymorphism
Genome-wide association study
Candidate gene study

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