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Background Cetuximab is one of the most widely used epidermal growth factor receptor (EGFR) inhibitors to treat patients with metastatic colorectal cancer (mCRC) harboring wild-type of RAS/RAF status. However, primary and acquired resistance to cetuximab is often found during target therapy. Methods To gain insights into the functions of long non-coding RNA (lncRNA) in cetuximab resistance, we used a lncRNA-mining approach to distinguish lncRNA specific probes in Affymetrix HG-U133A 2.0 arrays. Then we performed lncRNA expression profiling in a cetuximab treated mCRC cohort from Gene Expression Ominus (GEO). The potential lncRNAs were further validated in acquired cetuximab resistant cell lines and clinical samples of our hospital. The functions and associated pathways of the prognostic lncRNA were predicted by GO and KEGG analyses. Results 249 lncRNA-specific probe sets (corresponding to 212 lncRNAs) were represented in Affymetrix HG-U133A 2.0 arrays. We found that 9 lncRNAs were differentially expressed between disease control group (DCG) and non-responders, and 5 of these 9 lncRNAs were significantly related with the progression-free survival (PFS) of the patients. Among those 5 lncRNAs, POU5F1P4 was also down-regulated in acquired cetuximab resistant cells, as well as in cetuximab resistant patients. Downregulation of POU5F1P4 decreased the sensitivity of colorectal cancer cells to cetuximab. Conclusion Our findings indicate the potential roles of lncRNAs in cetuximab resistance, and may provide the useful information for discovery of new biomarkers and therapeutic targets. [ABSTRACT FROM AUTHOR]

Abstract: Reference genes are used to normalize target genes for relative quantification in gene expression studies. However, different experimental conditions may affect the expression of reference genes, which could lead to erroneous quantitative results. In this study, we performed real-time polymerase chain to investigate the expression of eight reference genes (rpoN, rpoD, dbhA, phaF, 16S rRNA, gst, lexA, and atkA) in Pseudomonas putida mt-2 during degradation of p-xylene. According to their expression stability, geNorm software analysis revealed that rpoN, rpoD, 16S rRNA, and atkA were suitable reference genes with highly stable expression, whereas phaF and dbhA were not suitable due to unstable expression. When normalized either to phaF or dbhA, xylA and xylE expression were significantly different compared to the expression levels normalized with the normalization factor (NF4) obtained from the four most stable reference genes (rpoN, -rpoD, -16S rRNA, and -atkA). The use of unstably expressing reference genes resulted in an over- or underestimation of target gene expression, a delay in maximal gene expression, and an increase in gene expression in the absence of inducer. While experimental results indicated that the relative maximum expression of xylA and xylE occurred at different times, unstable reference genes indicated that the maximum expression occurred at the same time. Our study indicates that a valid set of reference genes covering a broad expression range is recommended to accurately normalize and quantify the relative expression levels of the target gene(s) transcripts in many microbial processes. [Copyright &y& Elsevier]