Pancreatic cancer is a fatal disorder which originates in pancreas. Its mortality rate is increasing with time. Some studies also reported that pancreatic cancer would be ranked 2nd by the year 2030. Codon usage bias (CUB) arises when synonymous codons for each amino acid are not used randomly in the coding sequences of genes. We used bioinformatic methods to analyze the compositional properties, codon context and codon usage trend of the genes associated with pancreatic cancer as no work was reported yet. From the base composition analysis, the pancreatic cancer genes were found to be GC-rich and at the 3rd codon position the G/C ending codons were more preferred to A/T ending ones. The CUB was low in genes associated with pancreatic cancer. Correspondence analysis proposed that other than base constraints, CUB might also be affected by some other factors such as natural selection. Moreover, results of correlation analysis indicated that CUB and various GC contents i.e. GC, GC1, GC2, GC3 played important role in the release of free energy by transcripts of the genes associated with pancreatic cancer. The low compAI values of coding sequences suggested a low translation rate of the genes.

胰腺癌是一种致命疾病，起源于胰腺。其死亡率随着时间而增加。一些研究还报告说，到2030年，胰腺癌将排名第二。如果在基因编码序列中未随机使用每个氨基酸的同义密码子，就会出现密码子使用偏倚（CUB）。由于没有工作报道，我们使用生物信息学方法分析了与胰腺癌相关的基因的组成特性，密码子背景和密码子使用趋势。从碱基组成分析，发现胰腺癌基因富含GC，并且在第3个密码子位置，G / C末端密码子比A / T末端密码子更优选。CUB与胰腺癌相关的基因含量低。对应分析建议，除了基本约束之外，CUB也可能会受到其他一些因素的影响，例如自然选择。此外，相关分析结果表明CUB和各种GC含量即GC，GC1，GC2，GC3的自由能的释放与胰腺癌相关的基因的转录发挥重要作用。编码序列的低compAI值表明基因的翻译率低。