Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:Q86TM3 (cage)
 29,987 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Genome-wide scans for DNA and RNA changes in the HL-60 cell line relative to normal leukocytes were conducted. Microarray-based comparative genome hybridization (CGH) studies were performed with the Spectral Genomics Human Bacterial Artificial Chromosome (BAC) 3MB system. Transcriptional measurements of approximately 12,500 human genes were monitored using Affymetrix U95A GeneChips. In HL-60, genomic DNA amplification of the 8q24 locus, trisomy 18, and deletions at loci 5q11.2 approximately q31, 6q12, 9p21.3 approximately p22, 10p12 approximately p15, 14q22 approximately q31, 17p12 approximately p13.3, and monosomy X were detected. After obtaining locus information about the RNA transcripts from the Affymetrix database, 4368 genes were stratified both according to status of RNA expression and the DNA copy number of their designated loci. The expression level of 2326 (53.25%) of 4368 transcripts is concordant with DNA copy number. Examples of specific, highly expressed, cancer-associated genes in amplified loci include SERPINB10, MYC, TYMS, HEC, and EPB41L3, while CD14, GZMK, TCF7, FOS, MLH3, CTNNA1, IRF1, VIM, CRK, MAP3K1, STAM, MAX, SFRG5, ENC1, PURA, MNT, RASA1, GLRX, UBE2B, NR3C1, PTENP1, BS69, COPEB, SKIP, PIM2, and MIC2 represent cancer-associated genes in deleted loci with decreased expression. The complementary usage of genome-wide DNA and RNA scans should enhance the identification of candidate genes in the neoplastic process.
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PMID:Comprehensive genome-wide comparison of DNA and RNA level scan using microarray technology for identification of candidate cancer-related genes in the HL-60 cell line. 1458 Jul 68

The examination of circulating nucleic acids (CNAs) is an emerging noninvasive diagnostic technique. However, it is unclear if serum long noncoding RNAs (lncRNAs) represent a novel marker to detect gastric cancer (GC). In this study, we measured 39 candidate cancer-associated lncRNAs by reverse transcription and quantitative polymerase chain reaction (RT-qPCR) in sera from 110 patients with GC, 106 age- and sex-matched healthy subjects and 15 patients with gastric peptic ulcer, markers were validated and assessed by RT-qPCR. The correlation of the expression levels of the candidate serum lncRNAs with clinical parameters of GC patients was performed. A three-lncRNA signature, including CUDR, LSINCT-5 and PTENP1, was identified that may be potential diagnostic marker for GC. The areas under the receiver operating characteristic (ROC) curve for this serum three-lncRNA signature were 0.920 and 0.829 for the two sets of serum samples. Moreover, a risk model for the serum three-lncRNA signature demonstrated that healthy samples can be distinguished from early GC samples. Three-lncRNA signature in serum was identified as diagnostic marker for GC. This work may facilitate the detection of GC and serve as the basis for further studies of the clinical value of serum lncRNAs in maintaining surveillance and forecasting prognosis.
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PMID:Circulating CUDR, LSINCT-5 and PTENP1 long noncoding RNAs in sera distinguish patients with gastric cancer from healthy controls. 2569 51

Serum biomarkers have not been fully incorporated into clinical use for the diagnosis of renal cell carcinoma (RCC). The recent discovery of long noncoding RNAs (lncRNAs), which have been reported in a variety of cancer types, suggested a promising new class of biomarkers for tumour diagnosis. The aim of our study was to evaluate whether the levels of circulating lncRNAs could be used as a tumour marker to discriminate between clear cell RCC (ccRCC) patients and healthy controls. Serum samples were collected from 71 ccRCC patients including 62 age- and sex-matched healthy controls and 8 patients with benign renal tumours. Eighty-two cancer-associated lncRNAs were assessed by reverse transcription and quantitative polymerase chain reaction in paired tissues and serum. A 5-lncRNA signature, including lncRNA-LET, PVT1, PANDAR, PTENP1 and linc00963, were identified and validated in the training set and testing set, respectively. The receiver operating characteristic curves for this serum 5-lncRNA signature were 0.900 and 0.823 for the two sets of serum samples. Moreover, five-minus-one lncRNA signatures demonstrated that none of the lncRNAs had a higher area under the curve than the others in either set. A risk model for the serum 5-lncRNA signature also determined that benign renal tumours can be distinguished from ccRCC samples. This work may facilitate the detection of ccRCC and serve as the basis for further studies of the clinical value of serum lncRNAs in maintaining surveillance and forecasting prognosis.
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PMID:A serum-circulating long noncoding RNA signature can discriminate between patients with clear cell renal cell carcinoma and healthy controls. 2687 86