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Expression quantitative trait loci for PAX8 contributes to the prognosis of hepatocellular carcinoma

Paired-box family member PAX8 encodes a transcription factor that has a role in cell differentiation and cell growth and may participate in the prognosis of hepatocellular carcinoma (HCC). By bioinformatics analysis, we identified several single nucleotide polymorphisms (SNPs) within a newly identif...

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Autores principales: Ma, Shijie, Yang, Jianshui, Song, Ci, Ge, Zijun, Zhou, Jing, Zhang, Guoxin, Hu, Zhibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5365105/
https://www.ncbi.nlm.nih.gov/pubmed/28339471
http://dx.doi.org/10.1371/journal.pone.0173700
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author Ma, Shijie
Yang, Jianshui
Song, Ci
Ge, Zijun
Zhou, Jing
Zhang, Guoxin
Hu, Zhibin
author_facet Ma, Shijie
Yang, Jianshui
Song, Ci
Ge, Zijun
Zhou, Jing
Zhang, Guoxin
Hu, Zhibin
author_sort Ma, Shijie
collection PubMed
description Paired-box family member PAX8 encodes a transcription factor that has a role in cell differentiation and cell growth and may participate in the prognosis of hepatocellular carcinoma (HCC). By bioinformatics analysis, we identified several single nucleotide polymorphisms (SNPs) within a newly identified long non-coding RNA (lncRNA) AC016683.6 as expression quantitative trait loci (eQTLs) for PAX8. Hence, we hypothesized that PAX8eQTLs in lncRNA AC016683.6 may influence the HCC prognosis. We then performed a case-only study to assess the association between the two SNPs as well as the prognosis of HCC in 331 HBV-positive HCC patients without surgical treatment. Cox proportional hazard models were used for survival analysis with adjustments for the age, gender, smoking status, drinking status, Barcelona-Clinic Liver Cancer (BCLC) stage, and chemotherapy or TACE (transcatheter hepatic arterial chemoembolization) status. We found that the G allele of rs1110839 and the T allele of rs4848320 in PAX8was significantly associated with a better prognosis compared with the T allele of rs1110839 and the C allele of rs4848320 (adjusted HR = 0.74, 95% CI = 0.61–0.91, P = 0.004 for rs1110839 and adjusted HR = 0.71, 95% CI = 0.54–0.94, P = 0.015 for rs4848320 in the additive model). Furthermore, the combined effect of the variant genotypes for these two SNPs was more prominent in patients with the BCLC-C stage orpatients with chemotherapy or TACE. Although the exact biological function remains to be explored, our findings suggest a possible association of PAX8eQTLs in lncRNA AC016683.6 with the HCC prognosis inthe Chinese population. Further large and functional studies are needed to confirm our findings.
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spelling pubmed-53651052017-04-06 Expression quantitative trait loci for PAX8 contributes to the prognosis of hepatocellular carcinoma Ma, Shijie Yang, Jianshui Song, Ci Ge, Zijun Zhou, Jing Zhang, Guoxin Hu, Zhibin PLoS One Research Article Paired-box family member PAX8 encodes a transcription factor that has a role in cell differentiation and cell growth and may participate in the prognosis of hepatocellular carcinoma (HCC). By bioinformatics analysis, we identified several single nucleotide polymorphisms (SNPs) within a newly identified long non-coding RNA (lncRNA) AC016683.6 as expression quantitative trait loci (eQTLs) for PAX8. Hence, we hypothesized that PAX8eQTLs in lncRNA AC016683.6 may influence the HCC prognosis. We then performed a case-only study to assess the association between the two SNPs as well as the prognosis of HCC in 331 HBV-positive HCC patients without surgical treatment. Cox proportional hazard models were used for survival analysis with adjustments for the age, gender, smoking status, drinking status, Barcelona-Clinic Liver Cancer (BCLC) stage, and chemotherapy or TACE (transcatheter hepatic arterial chemoembolization) status. We found that the G allele of rs1110839 and the T allele of rs4848320 in PAX8was significantly associated with a better prognosis compared with the T allele of rs1110839 and the C allele of rs4848320 (adjusted HR = 0.74, 95% CI = 0.61–0.91, P = 0.004 for rs1110839 and adjusted HR = 0.71, 95% CI = 0.54–0.94, P = 0.015 for rs4848320 in the additive model). Furthermore, the combined effect of the variant genotypes for these two SNPs was more prominent in patients with the BCLC-C stage orpatients with chemotherapy or TACE. Although the exact biological function remains to be explored, our findings suggest a possible association of PAX8eQTLs in lncRNA AC016683.6 with the HCC prognosis inthe Chinese population. Further large and functional studies are needed to confirm our findings. Public Library of Science 2017-03-24 /pmc/articles/PMC5365105/ /pubmed/28339471 http://dx.doi.org/10.1371/journal.pone.0173700 Text en © 2017 Ma et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ma, Shijie
Yang, Jianshui
Song, Ci
Ge, Zijun
Zhou, Jing
Zhang, Guoxin
Hu, Zhibin
Expression quantitative trait loci for PAX8 contributes to the prognosis of hepatocellular carcinoma
title Expression quantitative trait loci for PAX8 contributes to the prognosis of hepatocellular carcinoma
title_full Expression quantitative trait loci for PAX8 contributes to the prognosis of hepatocellular carcinoma
title_fullStr Expression quantitative trait loci for PAX8 contributes to the prognosis of hepatocellular carcinoma
title_full_unstemmed Expression quantitative trait loci for PAX8 contributes to the prognosis of hepatocellular carcinoma
title_short Expression quantitative trait loci for PAX8 contributes to the prognosis of hepatocellular carcinoma
title_sort expression quantitative trait loci for pax8 contributes to the prognosis of hepatocellular carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5365105/
https://www.ncbi.nlm.nih.gov/pubmed/28339471
http://dx.doi.org/10.1371/journal.pone.0173700
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