galectin-3 and beclin1atg6 genes in human cancers using cdna tissue panel, qrt-pcr, and logistic regression model to identify cancer cell biomarkersgalectin-3和beclin1atg6基因在人类癌症使用cdna组织面板中,存在和逻辑回归模型来识别癌细胞的生物标志物.pdfVIP

galectin-3 and beclin1atg6 genes in human cancers using cdna tissue panel, qrt-pcr, and logistic regression model to identify cancer cell biomarkersgalectin-3和beclin1atg6基因在人类癌症使用cdna组织面板中,存在和逻辑回归模型来识别癌细胞的生物标志物.pdf

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galectin-3 and beclin1atg6 genes in human cancers using cdna tissue panel, qrt-pcr, and logistic regression model to identify cancer cell biomarkersgalectin-3和beclin1atg6基因在人类癌症使用cdna组织面板中,存在和逻辑回归模型来识别癌细胞的生物标志物

Galectin-3 and Beclin1/Atg6 Genes In Human Cancers: Using cDNA Tissue Panel, qRT-PCR, and Logistic Regression Model to Identify Cancer Cell Biomarkers Halliday A. Idikio* Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada Abstract Background: Cancer biomarkers are sought to support cancer diagnosis, predict cancer patient response to treatment and survival. Identifying reliable biomarkers for predicting cancer treatment response needs understanding of all aspects of cancer cell death and survival. Galectin-3 and Beclin1 are involved in two coordinated pathways of programmed cell death, apoptosis and autophagy and are linked to necroptosis/necrosis. The aim of the study was to quantify galectin-3 and Beclin1 mRNA in human cancer tissue cDNA panels and determine their utility as biomarkers of cancer cell survival. Methods and Results: A panel of 96 cDNAs from eight (8) different normal and cancer tissue types were used for quantitative real-time polymerase chain reaction (qRT-PCR) using ABI7900HT. Miner2.0, a web-based 4- and 3- parameter logistic regression software was used to derive individual well polymerase chain reaction efficiencies (E) and cycle threshold (Ct) values. Miner software derived formula was used to calculate mRNA levels and then fold changes. The ratios of cancer to normal tissue levels of galectin-3 and Beclin1 were calculated (using the mean for each tissue type). Relative mRNA expressions for galectin-3 were higher than for Beclin1 in all tissue (normal and cancer) types. In cancer tissues, breast, kidney, thyroid and prostate had the highest galectin-3 mRNA levels compared to normal tissues. High levels of Beclin1 mRNA levels were in liver and prostate cancers when compared to normal tissues. Breast, kidney and thyroid cancers

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