Genomic instability-associated lncRNA signature predicts prognosis and distinct immune landscape in gastric cancer.

Genomic instability-associated lncRNA signature predicts prognosis and distinct immune landscape in gastric cancer.
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基因组不稳定性相关的 lncRNA 特征可预测胃癌的预后和独特的免疫状况

DOI:
10.21037/atm-21-3569
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发表时间:
2021-08
影响因子:
--
通讯作者:
Sun Y
Sun Y
中科院分区:
医学4区
文献类型:
--
作者:
Sun J;Jiang Q;Chen H;Zhang Q;Zhao J;Li H;Wang X;Fang Y;Ruan Y;Sun Y

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背景以多种特征为特征的基因组稳定性相关标志物,如微卫星不稳定性(MSI),被调节为癌症治疗中化疗和免疫应答的重要预测因子。我们研究的目的是确定一个基因组不稳定性相关的长非编码RNA(lncRNA)签名,以帮助预测胃癌(GC)的生存和治疗反应。方法我们使用来自癌症基因组胃癌-胃腺癌(TCGA-STAD)数据集的RNA测序和单核苷酸变异(SNV)数据来探索基因组不稳定性相关的lncRNA。对197个差异表达的基因组不稳定性相关lncRNA进行分层聚类分析,将GC患者分为两组,即基因组不稳定(GU)样组和基因组稳定(GS)样组。结果通过考克斯回归分析,最终筛选出6个具有独立预后价值的lncRNA(LINC 02678、HOXA 10-AS、RHOXF 1-AS 1、AC010789.1、LINC 01150和TGFB 2-AS 1),建立基因组不稳定性相关lncRNA标签(GILncSig)。基于SNV分析,GILncSig与基因突变计数的累积相关。对不同风险评分组进行进一步比较,以评估化疗药物敏感性和免疫景观变化。结论本研究不仅揭示了GC中基因组不稳定相关的lncRNA,为进一步研究这些lncRNA的作用提供了重要的方法和资源,也为寻找基因组不稳定相关的肿瘤生物标志物提供了新的思路。
Background Characterized by multiple features, genomic stability-related markers, such as microsatellite instability (MSI), were regulated as an important predictor of chemotherapy and immunity responses in cancer treatment. The aim of our study was to identify a genomic instability-associated long non-coding RNA (lncRNA) signature to help predict the survival and therapy response of gastric cancers (GCs). Methods We used RNA sequencing and single nucleotide variant (SNV) data from The Cancer Genome Atlas-stomach adenocarcinoma (TCGA-STAD) datasets to explore genomic instability-associated lncRNAs. Hierarchical cluster analyses of 197 differentially expressed genomic instability-associated lncRNAs were performed to separate GC patients into two groups, namely, the genomically unstable (GU)-like group and the genomically stable (GS)-like group. Results Cox regression analysis was conducted to finally identify six lncRNAs (LINC02678, HOXA10-AS, RHOXF1-AS1, AC010789.1, LINC01150, and TGFB2-AS1) with independent prognostic value to establish the genomic instability-associated lncRNA signature (GILncSig). Based on the SNV analysis, GILncSig was correlated with accumulation of gene mutation counts. Further comparisons between different risk score groups were performed to assess chemotherapy drug sensitivity and immune landscape variations. Conclusions Our study not only revealed the genomic instability-associated lncRNAs in GCs, but provided a key method and resource for further studies of the role of these lncRNAs play, and introduced a potential new way to identify genomic instability-associated cancer biomarkers.
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