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Novel SNP improves differential survivability and mortality in non-small cell lung cancer patients.
BMC Genomics ; 15 Suppl 9: S20, 2014.
Article in En | MEDLINE | ID: mdl-25521664
ABSTRACT

BACKGROUND:

Non-small cell lung cancer (NSCLC) is a major cause of cancer-related death worldwide due to poor patient prognosis and clinical outcome. Here, we studied the genetic variations underlying NSCLC pathogenesis based on their association to patient outcome after gemcitabine therapy.

RESULTS:

Bioinformatics analysis was used to investigate possible effects of POLA2 G583R (POLA2+1747 GG/GA, dbSNP ID rs487989) in terms of protein function. Using biostatistics, POLA2+1747 GG/GA (rs487989, POLA2 G583R) was identified as strongly associated with mortality rate and survival time among NSCLC patients. It was also shown that POLA2+1747 GG/GA is functionally significant for protein localization via green fluorescent protein (GFP)-tagging and confocal laser scanning microscopy analysis. The single nucleotide polymorphism (SNP) causes DNA polymerase alpha subunit B to localize in the cytoplasm instead of the nucleus. This inhibits DNA replication in cancer cells and confers a protective effect in individuals with this SNP.

CONCLUSIONS:

The results suggest that POLA2+1747 GG/GA may be used as a prognostic biomarker of patient outcome in NSCLC pathogenesis.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Non-Small-Cell Lung / Computational Biology / Polymorphism, Single Nucleotide / DNA Polymerase I / Lung Neoplasms Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2014 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Non-Small-Cell Lung / Computational Biology / Polymorphism, Single Nucleotide / DNA Polymerase I / Lung Neoplasms Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2014 Document type: Article