The University of Texas MD Anderson Cancer Center, Department of Investigational Cancer Therapeutics, Houston, TX, USA.
Department of Medical Oncology, Euromedica General Clinic, Thessaloniki, Greece.
Semin Cancer Biol. 2022 Sep;84:50-59. doi: 10.1016/j.semcancer.2020.09.007. Epub 2020 Sep 17.
Transcriptomics, which encompasses assessments of alternative splicing and alternative polyadenylation, identification of fusion transcripts, explorations of noncoding RNAs, transcript annotation, and discovery of novel transcripts, is a valuable tool for understanding cancer mechanisms and identifying biomarkers. Recent advances in high-throughput technologies have enabled large-scale gene expression profiling. Importantly, RNA expression profiling of tumor tissue has been successfully used to determine clinically actionable molecular alterations. The WINTHER precision medicine clinical trial was the first prospective trial in diverse solid malignancies that assessed both genomics and transcriptomics to match treatments to specific molecular alterations. The use of transcriptome analysis in WINTHER and other trials increased the number of targetable -omic changes compared to genomic profiling alone. Other applications of transcriptomics involve the evaluation of tumor and circulating noncoding RNAs as predictive and prognostic biomarkers, the improvement of risk stratification by the use of prognostic and predictive multigene assays, the identification of fusion transcripts that drive tumors, and an improved understanding of the impact of DNA changes as some genomic alterations are silenced at the RNA level. Finally, RNA sequencing and gene expression analysis have been incorporated into clinical trials to identify markers predicting response to immunotherapy. Many issues regarding the complexity of the analysis, its reproducibility and variability, and the interpretation of the results still need to be addressed. The integration of transcriptomics with genomics, proteomics, epigenetics, and tumor immune profiling will improve biomarker discovery and our understanding of disease mechanisms and, thereby, accelerate the implementation of precision oncology.
转录组学涵盖了对可变剪接和可变多聚腺苷酸化的评估、融合转录本的鉴定、非编码 RNA 的探索、转录本注释以及新转录本的发现,是理解癌症机制和鉴定生物标志物的有价值的工具。高通量技术的最新进展使大规模基因表达谱分析成为可能。重要的是,肿瘤组织的 RNA 表达谱分析已成功用于确定临床上可操作的分子改变。WINTHER 精准医学临床试验是第一个在多种实体恶性肿瘤中评估基因组和转录组以将治疗与特定分子改变相匹配的前瞻性试验。WINTHER 和其他试验中使用转录组分析与单独进行基因组分析相比,增加了可靶向的组学改变数量。转录组学的其他应用包括评估肿瘤和循环非编码 RNA 作为预测和预后生物标志物,使用预后和预测性多基因检测进行风险分层的改善,鉴定驱动肿瘤的融合转录本,以及更好地理解 DNA 改变的影响,因为一些基因组改变在 RNA 水平上被沉默。最后,RNA 测序和基因表达分析已被纳入临床试验,以鉴定预测对免疫治疗反应的标志物。关于分析的复杂性、可重复性和可变性以及结果的解释,仍有许多问题需要解决。转录组学与基因组学、蛋白质组学、表观遗传学和肿瘤免疫分析的整合将提高生物标志物的发现,并加深我们对疾病机制的理解,从而加速精准肿瘤学的实施。