Open AccessIdentification of reference genes for circulating long noncoding RNA analysis in serum of cervical cancer patients
Author(s) -
Iempridee Tawin,
Wiwithaphon Suphachai,
Piboonprai Kitiya,
Pratedrat Pornpitra,
Khumkhrong Phattharachanok,
Japrung Deanpen,
Temisak Sasithon,
Laiwejpithaya Somsak,
Chaopotong Pattama,
Dharakul Tararaj
Publication year - 2018
Publication title -
febs open bio
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.718
H-Index - 31
ISSN - 2211-5463
DOI - 10.1002/2211-5463.12523
Subject(s) - rna , reference genes , cervical cancer , dna microarray , gene expression , gene , biology , long non coding rna , small nucleolar rna , microrna , cancer , non coding rna , small nuclear rna , computational biology , bioinformatics , genetics
Circulating lnc RNAs have attracted considerable attention as potential noninvasive biomarkers for diagnosing cancers. RT ‐ qPCR is the canonical technique for detecting circulating RNA and depends largely on stable reference genes for data normalization. However, no systematic evaluation of reference genes for serum lnc RNA has been reported for cervical cancer. Here, we profiled and validated lnc RNA expression from serum of cervical cancer patients and controls using microarrays and RT ‐ qPCR . We identified lnc RNA RP 11‐204K16.1, XLOC _012542, and U6 small nuclear RNA as the most stable reference genes based on geNorm, NormFinder, BestKeeper, delta Ct, and RefFinder. These genes were suitable also for samples from different age groups or with hemolysis. Additionally, we discovered lnc RNA AC 017078.1 and XLOC _011152 as candidate biomarkers, whose expression was down‐regulated in cervical cancer. Our findings could aid research on circulating lnc RNA and the discovery of blood‐based biomarkers for cervical cancer diagnosis.