METTL16 gene and application thereof
A gene and pancreatic cancer technology, applied in the field of tumor molecular biology, can solve the problems of low sensitivity and specificity, overtreatment, etc., and achieve the effects of improving specificity, improving timeliness, and enhancing invasion and metastasis capabilities
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Embodiment 1
[0060] This embodiment provides a method for detecting the mRNA expression levels of 21 genes in pancreatic cancer tissue (Tumor, referred to as T) and normal tissue (Normal, referred to as N) by using bioinformatics analysis, the specific content is as follows:
[0061] Get METTL3, METTL5, METTL14, METTL16, RBM15, VIRMA, WTAP, CBLL1, IGF2BP1, IGF2BP2, IGF2BP3, HNRNPC, HNRNPA2B1, YTHDC1 from the Oncomine online database (https: / / www.oncomine.org / resource / login.html) , YTHDC2, YTHDF1, YTHDF2, YTHDF3, RBMX, FTO, ALKBH5 gene expression in pan-cancer. Download pancreas cancer (Pancreatic cancer or Pancreatic Adenocarcinoma, PAAD) gene-wide single nucleotide polymorphisms ( Single nucleotide polymorphism, SNP) and transcriptome expression data, analyzed in the case of full mutations in key driver genes (TP53, KRAS, CDKN2A and SMAD4), METTL3, METTL5, METTL14, METTL16, RBM15, VIRMA, WTAP, CBLL1, IGF2BP1, IGF2BP2, Differential expression analysis of IGF2BP3, HNRNPC, HNRNPA2B1, YTHDC1...
Embodiment 2
[0064] This embodiment provides the use of bioinformatics analysis, and this embodiment provides a method for detecting the correlation between the expression of METTL16 gene and the cancer prognosis of pancreatic cancer, the specific content is as follows:
[0065] The Kaplan-Meier Plotter (http: / / kmplot.com / analysis / ) database was used to analyze the relationship between METTL16 expression and prognosis of pancreatic cancer. The Kaplan-Meier Plotter database contains mRNA sequencing and follow-up information of 177 pancreatic ductal adenocarcinoma (PDAC or PAAD) patients. The samples are divided into high and low expression groups according to the mean of each gene expression. Survival function curve of logrank p (logrank p), the survival curve represents the correlation between METTL16 gene and pancreatic cancer (PAAD) Overall Survival (OS) and Disease Free Survival (DFS), independent The screening analysis of clinical factors was performed by univariate Cox regression anal...
Embodiment 3
[0069] This example provides a method for evaluating the diagnostic value of METTL16 gene expression level for pancreatic cancer, the specific content is: download the TPM of TCGA and GTEx in Example 2 through UCSC XENA (https: / / xenabrowser.net / datapages / ) Format RNAseq data, retained clinical data and removed duplicate samples, a total of 179 cases of TCGA PAAD and 171 cases of GTEx corresponding normal tissue data were obtained. The acquired pancreatic cancer patient data and the corresponding normal tissue data were edited by software to obtain the ROC (receiver operator characteristic curve) curve.
[0070] The ROC curve can be drawn using software or systems in the prior art, such as = MedCalc9.2.0.1 medical statistics software, SPSS 9.0, ROCP0WER.SAS, DESIGNROC.FOR, MULTIREADER_POWER.SAS, R-studio, CREATE-ROC.SAS >GB STAT V10.0 (Dynamic Microsystems, Inc. Silver Spring, MD, USA) and so on. The software used to draw the ROC curve in this example is R-studio.
[0071] Th...
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