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Hypoxia-inducible factor-1α polymorphisms and risk of cancer metastasis: a meta-analysis.

Zhang Q, Chen Y, Zhang B, Shi B, Weng W, Chen Z, Guo N, Hua Y, Zhu L - PLoS ONE (2013)

Bottom Line: Many studies have demonstrated that hypoxia-inducible factor1-α (HIF-1α) polymorphisms are significantly associated with cancer metastasis, but the results are inconsistent.TC+ CC, OR  = 1.93, 95% CI  = 0.86-4.36).In the subgroup analyses, the significant associations remained significant among Asians, Caucasians and other cancers in the dominant model.

View Article: PubMed Central - PubMed

Affiliation: Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

ABSTRACT

Background: HIF-1α is a major regulator in tumor progression and metastasis which responds to hypoxia. Many studies have demonstrated that hypoxia-inducible factor1-α (HIF-1α) polymorphisms are significantly associated with cancer metastasis, but the results are inconsistent. We conducted a comprehensive meta-analysis to estimate the associations between HIF-1α C1772 T polymorphism and cancer metastasis.

Methods: Comprehensive searches were conducted on PubMed and EMBASE database. Fifteen studies were included in the meta-analysis. We used the OR and 95%CI to assess the associations between HIF-1α C1772T polymorphism and cancer metastasis. Heterogeneity and publication bias were also assessed by Q test, I (2), and funnel plot.

Results: Totally, fifteen studies including 1239 cases with metastasis-positive (M+) and 2711 cases with metastasis-negative (M-) were performed in this meta-analysis. The results showed that HIF-1a C1772T polymorphism was associated with the increased risk of cancer metastasis (T allele vs. C allele, OR  = 1.36, 95% CI  = 1.12-1.64; TT+ TC vs. CC, OR  = 1.39, 95% CI  = 1.13-1.71; TT vs. TC+ CC, OR  = 1.93, 95% CI  = 0.86-4.36). In the subgroup analyses, the significant associations remained significant among Asians, Caucasians and other cancers in the dominant model. Publication bias was not observed in the analysis.

Conclusions: Our results indicate that the HIF-1αC1772T polymorphism T allele may increase the risk of cancer metastasis, which might be a potential risk factor of cancer progress.

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Related in: MedlinePlus

Begg's funnel plot for publication bias test(C allele vs. T allele).Each point represents a separate study for the indicated association.
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pone-0070961-g003: Begg's funnel plot for publication bias test(C allele vs. T allele).Each point represents a separate study for the indicated association.

Mentions: Begg's funnel plot and Egger's test were performed to assess the publication bias of literatures. As shown in Figure 3, the shape of the funnel plot did not reveal any evidence of obvious asymmetry in all comparison models. Also, the results of Egger's test did not show any evidence of publication bias. (T vs. C, t = −0.13, P = 0.900, 95%CI  = −1.43–1.27; TT/TC vs. CC, t = 0.02, P = 0.983, 95%CI  = −1.23–1.26; TT vs. TC/CC, t = −0.73, P = 0.519, 95%CI  = −7.60–4.77).


Hypoxia-inducible factor-1α polymorphisms and risk of cancer metastasis: a meta-analysis.

Zhang Q, Chen Y, Zhang B, Shi B, Weng W, Chen Z, Guo N, Hua Y, Zhu L - PLoS ONE (2013)

Begg's funnel plot for publication bias test(C allele vs. T allele).Each point represents a separate study for the indicated association.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3756035&req=5

pone-0070961-g003: Begg's funnel plot for publication bias test(C allele vs. T allele).Each point represents a separate study for the indicated association.
Mentions: Begg's funnel plot and Egger's test were performed to assess the publication bias of literatures. As shown in Figure 3, the shape of the funnel plot did not reveal any evidence of obvious asymmetry in all comparison models. Also, the results of Egger's test did not show any evidence of publication bias. (T vs. C, t = −0.13, P = 0.900, 95%CI  = −1.43–1.27; TT/TC vs. CC, t = 0.02, P = 0.983, 95%CI  = −1.23–1.26; TT vs. TC/CC, t = −0.73, P = 0.519, 95%CI  = −7.60–4.77).

Bottom Line: Many studies have demonstrated that hypoxia-inducible factor1-α (HIF-1α) polymorphisms are significantly associated with cancer metastasis, but the results are inconsistent.TC+ CC, OR  = 1.93, 95% CI  = 0.86-4.36).In the subgroup analyses, the significant associations remained significant among Asians, Caucasians and other cancers in the dominant model.

View Article: PubMed Central - PubMed

Affiliation: Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

ABSTRACT

Background: HIF-1α is a major regulator in tumor progression and metastasis which responds to hypoxia. Many studies have demonstrated that hypoxia-inducible factor1-α (HIF-1α) polymorphisms are significantly associated with cancer metastasis, but the results are inconsistent. We conducted a comprehensive meta-analysis to estimate the associations between HIF-1α C1772 T polymorphism and cancer metastasis.

Methods: Comprehensive searches were conducted on PubMed and EMBASE database. Fifteen studies were included in the meta-analysis. We used the OR and 95%CI to assess the associations between HIF-1α C1772T polymorphism and cancer metastasis. Heterogeneity and publication bias were also assessed by Q test, I (2), and funnel plot.

Results: Totally, fifteen studies including 1239 cases with metastasis-positive (M+) and 2711 cases with metastasis-negative (M-) were performed in this meta-analysis. The results showed that HIF-1a C1772T polymorphism was associated with the increased risk of cancer metastasis (T allele vs. C allele, OR  = 1.36, 95% CI  = 1.12-1.64; TT+ TC vs. CC, OR  = 1.39, 95% CI  = 1.13-1.71; TT vs. TC+ CC, OR  = 1.93, 95% CI  = 0.86-4.36). In the subgroup analyses, the significant associations remained significant among Asians, Caucasians and other cancers in the dominant model. Publication bias was not observed in the analysis.

Conclusions: Our results indicate that the HIF-1αC1772T polymorphism T allele may increase the risk of cancer metastasis, which might be a potential risk factor of cancer progress.

Show MeSH
Related in: MedlinePlus