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鉴定与胶质瘤患者预后相关的基因:中国脑胶质瘤基因组图谱(CGGA)和癌症基因组图谱(TCGA)的数据分析。

Identification of genes associated with cancer prognosis in glioma: data analyses of Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA).

机构信息

College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, P. R. China.

Department of Minimally Invasive Surgery, The Fourth Affiliated Hospital, Harbin Medical University, Harbin Heilongjiang, P. R. China.

出版信息

J Bioinform Comput Biol. 2021 Jun;19(3):2140004. doi: 10.1142/S0219720021400047. Epub 2021 May 11.

DOI:10.1142/S0219720021400047
PMID:33971799
Abstract

Glioma is one particular type of brain malignancy which is highly complex and usually has a poor prognosis. Despite the limited diagnostic level of glioma, the survival time of affected patients broadly varies. Here, we conducted a detailed analysis, regarding the differences in patient survival time, to discover potential survival-related genes in glioma as well as their putative regulatory mechanisms. To contextualize the acquisition of these potential prognosis markers in large populations, particularly in China, we combined CGGA and The Cancer Genome Atlas (TCGA) databases to properly identify genes that are significantly related to survival. Our workflow combined a series of analytical approaches, including differential analysis, survival time, co-expression, clinical correlation analysis, ROC curve evaluation and prediction ability. Our results indicate that the four particular genes - PLAT, IGFBP2, BCAT1, SERPINH1 could be used as independent prognostic marker genes. These genes have also shown good prognostic ability in distinct populations, reiterating the robustness and value of these prognostic markers.

摘要

神经胶质瘤是一种特定类型的脑恶性肿瘤,非常复杂,通常预后不良。尽管神经胶质瘤的诊断水平有限,但受影响患者的存活时间差异很大。在这里,我们进行了详细的分析,研究了患者存活时间的差异,以发现神经胶质瘤中与存活相关的潜在基因及其可能的调节机制。为了在大人群中获得这些潜在的预后标志物,特别是在中国,我们结合了 CGGA 和癌症基因组图谱(TCGA)数据库,以正确识别与生存显著相关的基因。我们的工作流程结合了一系列分析方法,包括差异分析、生存时间、共表达、临床相关性分析、ROC 曲线评估和预测能力。我们的结果表明,PLAT、IGFBP2、BCAT1 和 SERPINH1 这四个特定基因可以作为独立的预后标志物基因。这些基因在不同的人群中也表现出了良好的预后能力,再次验证了这些预后标志物的稳健性和价值。

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引用本文的文献

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The role of branched-chain aminotransferase 1 in driving glioblastoma cell proliferation and invasion varies with tumor subtype.支链氨基酸转氨酶1在驱动胶质母细胞瘤细胞增殖和侵袭中的作用因肿瘤亚型而异。
Neurooncol Adv. 2023 Sep 16;5(1):vdad120. doi: 10.1093/noajnl/vdad120. eCollection 2023 Jan-Dec.
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Overexpression of prothymosin-α in glioma is associated with tumor aggressiveness and poor prognosis.促胸腺素-α在神经胶质瘤中的过表达与肿瘤侵袭性和不良预后相关。
Biosci Rep. 2022 Apr 29;42(4). doi: 10.1042/BSR20212685.