Impact of four lncRNA polymorphisms (rs2151280, rs7763881, rs1136410, and rs3787016) on glioma risk and prognosis: A case-control study.
Yujiao DengLinghui ZhouNa LiMeng WangLi YaoShanshan DongMing ZhangPengtao YangQian HaoYing WuLijuan LyuTianbo JinZhi-Jun DaiHuafeng KangPublished in: Molecular carcinogenesis (2019)
Long noncoding RNA (lncRNA) polymorphisms are reportedly in connection with tumor susceptibility and prognosis. Glioma is one of the most aggressive and common cancers of the central nervous system. This study aimed to investigate the relationship between four lncRNA variants and glioma susceptibility and prognosis in a Chinese Han population. Sequenom Mass-ARRAY was used to genotype 605 patients with glioma and 1300 cancer-free individuals. Odds ratios or hazard ratios and related 95% confidence intervals were calculated to estimate the correlations. Logistic and Cox regression models, log-rank tests, and Kaplan-Meier curves were used for the statistical analysis. Six inheritance models showed that ANRIL rs2151280 variant genotype (A>G) was related to the susceptibility of glioma, while the other three lncRNAs showed no association. Patients treated with temozolomide or nimustine had better progression-free survival (PFS) and overall survival (OS) than those treated with platinum. Besides, patients aged older than 40 years showed a poorer OS. The Cox multivariate analysis revealed that the rs1136410 GG genotype (A>G) was beneficial for OS and PFS. The Kaplan-Meier analyses indicated that rs1136410 A>G and the rs7763881 A>C were associated with longer OS. ANRIL rs2151280 variant genotype might increase susceptibility of glioma. In addition, PARP1 rs1136410 variant genotype could be beneficial for the overall survival of patients with glioma. More research data are needed to further validate our results.
Keyphrases
- long noncoding rna
- free survival
- newly diagnosed
- squamous cell carcinoma
- ejection fraction
- physical activity
- long non coding rna
- oxidative stress
- machine learning
- dna damage
- mitochondrial dna
- high throughput
- copy number
- single cell
- high resolution
- electronic health record
- young adults
- community dwelling
- middle aged
- high density
- patient reported
- data analysis