Validation of nucleolar protein 4 as a novel methylated tumor suppressor gene in head and neck cancer.
İstanbul, Turkey. In Oncol Rep, 2014
In the present study, we assessed the association of epigenetic alterations of a panel of 12 genes [nucleolar protein 4 (NOL4), iroquois homeobox 1 (IRX1), SLC5A8, LRRC3B, FUSSEL18, EBF3, GBX2, HMX2, SEPT9, ALX3, SOCS3 and LHX6] with head and neck squamous cell carcinoma (HNSCC) via a candidate gene approach.
Epigenetic alterations of chromosome 3 revealed by NotI-microarrays in clear cell renal cell carcinoma.
Moscow, Russia. In Biomed Res Int, 2013
These genes include tumor suppressors or candidates (VHL, CTDSPL, LRRC3B, ALDH1L1, and EPHB1) and genes that were not previously considered as cancer-associated (e.g., LRRN1, GORASP1, FGD5, and PLCL2).
Novel tumor suppressor candidates on chromosome 3 revealed by NotI-microarrays in cervical cancer.
Moscow, Russia. In Epigenetics, 2013
Thirty genes, including tumor suppressors or candidates (for example, VHL, RBSP3/CTDSPL, ITGA9, LRRC3B, ALDH1L1, EPHB1) and genes previously unknown as cancer-associated (ABHD5, C3orf77, PRL32, LOC285375, FGD5 and others), showed methylation/deletion in 21-44% of tumors.
Transcriptome analysis of duck liver and identification of differentially expressed transcripts in response to duck hepatitis A virus genotype C infection.
Chengdu, China. In Plos One, 2012
Of the 20 unigenes, nine matched the known genes in the database, including three up-regulated genes (virus replicase polyprotein, LRRC3B, and PCK1) and six down-regulated genes (CRP, AICL-like 2, L1CAM, CYB26A1, CHAC1, and ADAM32).
Genetic and epigenetic analysis of non-small cell lung cancer with NotI-microarrays.
Stockholm, Sweden. In Epigenetics, 2012
A comprehensive statistical analysis suggested the set of 19 gene markers, ANKRD28, BHLHE40, CGGBP1, RBSP3, EPHB1, FGD5, FOXP1, GORASP1/TTC21, IQSEC1, ITGA9, LOC285375, LRRC3B, LRRN1, MITF, NKIRAS1/RPL15, TRH, UBE2E2, VHL, WNT7A, to allow early detection, tumor progression, metastases and to discriminate between SCC and ADC with sensitivity and specificity of 80-100%.