Daripally Sarika, Peddi Kiranmayi
Basavatarakam Indo-American Cancer Hospital and Research Institute, Hyderabad, Telangana 500034 India.
Acharya Nagarjuna University, Guntur, Andhra Pradesh 522210 India.
3 Biotech. 2020 Dec;10(12):529. doi: 10.1007/s13205-020-02526-5. Epub 2020 Nov 12.
The present study investigated the prevalence of CYP2D64, CYP3A53 and SULT1A12, using PCR-RFLP, in normal and oral cancer (OC) patients that were stratified by OC subtype and gender. The risk of cancer, 5-year cumulative survival and hazard's ratio (HR) with respect to risk factors and clinical factors were estimated using Fisher's exact test, Kaplan-Meier analysis, and Cox proportional hazards models. CYP2D64 'GA' lowered the risk of buccal mucosa cancer (BMC) in males (OR = 0.37), whereas, 'G' allele of CYP3A53 increased risk of tongue cancer (TC) (OR = 1.67). SULT1A12 'GA' increased the risk of TC (OR = 2.36) and BMC (OR = 3.25) in females. The 5-year survival of the patients depended on factors like age, lymphovascular spread (LVS), perinodal spread (PNS), recurrence, tobacco, and alcohol. CYP3A53 'AG' and 'GG' had decreased the hazard ratio (HR) for BMC females when inflammatory infiltrate alone or along with other covariates, LVS, PNI, PNS, metastasis, recurrence, and relapse was adjusted. Similarly, CYP3A53 'AG' decreased the risk of death (HR = 0.05) when the grade was adjusted. SULT1A1*2 'GA' had decreased HR for TC males (HR = 0.08) after adjusting for inflammatory infiltrate, LVS, perineural invasion (PNI), PNS, metastasis, recurrence, and relapse. Further, our bioinformatics study revealed the presence of a CpG island within the and a CTCF binding site upstream of . Interestingly, three CpG islands and two CTCF binding sites were also identified near the . In conclusion, the SNPs altered risk and survival of BMC and TC differentially in a gender specified manner, that varied with clinical and risk factors.
本研究采用聚合酶链反应-限制性片段长度多态性方法(PCR-RFLP),对正常人和口腔癌(OC)患者中CYP2D64、CYP3A53和SULT1A12的流行情况进行了调查,这些患者按OC亚型和性别进行了分层。使用Fisher精确检验、Kaplan-Meier分析和Cox比例风险模型,估计了癌症风险、5年累积生存率以及与风险因素和临床因素相关的风险比(HR)。CYP2D64的“GA”降低了男性颊黏膜癌(BMC)的风险(OR = 0.37),而CYP3A53的“G”等位基因增加了舌癌(TC)的风险(OR = 1.67)。SULT1A12的“GA”增加了女性TC(OR = 2.36)和BMC(OR = 3.25)的风险。患者的5年生存率取决于年龄、淋巴管扩散(LVS)、结周扩散(PNS)、复发、烟草和酒精等因素。当单独或与其他协变量(LVS、PNI、PNS、转移、复发和复发)一起调整炎症浸润时,CYP3A53的“AG”和“GG”降低了BMC女性的风险比(HR)。同样,调整分级时,CYP3A53的“AG”降低了死亡风险(HR = 0.05)。调整炎症浸润、LVS、神经周围浸润(PNI)、PNS、转移、复发和复发后,SULT1A1*2的“GA”降低了男性TC的HR(HR = 0.08)。此外,我们的生物信息学研究揭示了在 内存在一个CpG岛以及在 上游有一个CTCF结合位点。有趣的是,在 附近还鉴定出了三个CpG岛和两个CTCF结合位点。总之,这些单核苷酸多态性(SNPs)以性别特异性方式差异性地改变了BMC和TC的风险和生存率,且随临床和风险因素而变化。