Dennis Wylie, Xiaoping Wang, Jun Yao, Hengyi Xu, Elizabeth A Ferrick-Kiddie, Toshiaki Iwase, Savitri Krishnamurthy, Naoto T Ueno, Alan M Lambowitz
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These included numerous differentially expressed protein-coding gene and non-coding RNAs in all three sample types, a granulocytic immune response in IBC PBMCs, and over-expression of antisense RNAs, suggesting wide-spread enhanced transcription in both IBC tumors and PBMCs. By using TGIRT-seq to quantitate Intron-exon Depth Ratios (IDRs) and mapping reads to both genome and transcriptome reference sequences, we developed methods for parallel analysis of transcriptional and post-transcriptional gene regulation. This analysis identified numerous differentially and non-differentially expressed protein-coding genes in IBC tumors and PBMCs with high IDRs, the latter reflecting rate-limiting RNA splicing that negatively impacts mRNA production. Mirroring gene expression differences in tumors and PBMCs, over-represented protein-coding gene RNAs in IBC patient plasma were largely intronic RNAs, while those in non-IBC patients and healthy donor plasma were largely mRNA fragments. Potential IBC biomarkers in plasma included T-cell receptor pre-mRNAs and intronic, LINE-1, and antisense RNAs. Our findings provide new insights into IBC and set the stage for monitoring disease progression and response to treatment by liquid biopsy. 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引用次数: 0
摘要
炎症性乳腺癌癌症(IBC)是最具侵袭性和致命性的癌症亚型,但在生物标志物鉴定方面存在滞后。在这里,我们使用了一种改进的Thermostable Group II内含子逆转录酶RNA测序(TGIRT-seq)方法来同时分析来自肿瘤、PBMC以及IBC和非IBC患者和健康供体的血浆的编码和非编码RNA。除了来自已知IBC相关基因的RNA外,我们在IBC肿瘤和PBMC中鉴定了数百种其他过表达的编码和非编码RNA(p≤0.001),包括较高比例的内含子-外显子深度比(IDRs)升高,这可能反映了转录增强导致内含子RNA的积累。因此,IBC血浆中差异表达的蛋白质编码基因RNA主要是内含子RNA片段,而健康供体和非IBC血浆的RNA主要是片段化的mRNA。血浆中潜在的IBC生物标志物包括追踪到IBC肿瘤和PBMC的T细胞受体前mRNA片段;内含子RNA片段与高IDR基因相关;以及我们发现在IBC中全局上调并在血浆中优先富集的LINE-1和其他逆转录元件RNA。我们的发现为IBC提供了新的见解,并证明了广泛分析转录组用于生物标志物鉴定的优势。为这项研究开发的RNA-seq和数据分析方法可能广泛适用于其他疾病。
TGIRT-seq of Inflammatory Breast Cancer Tumor and Blood Samples Reveals Widespread Enhanced Transcription Impacting RNA Splicing and Intronic RNAs in Plasma.
Inflammatory breast cancer (IBC) is the most aggressive and lethal breast cancer subtype but lacks unequivocal genomic differences or robust biomarkers that differentiate it from non-IBC. Here, Thermostable Group II intron Reverse Transcriptase RNA-sequencing (TGIRT-seq) revealed myriad differences in tumor samples, Peripheral Blood Mononuclear Cells (PBMCs), and plasma that distinguished IBC from non-IBC patients and healthy donors across all tested receptor-based subtypes. These included numerous differentially expressed protein-coding gene and non-coding RNAs in all three sample types, a granulocytic immune response in IBC PBMCs, and over-expression of antisense RNAs, suggesting wide-spread enhanced transcription in both IBC tumors and PBMCs. By using TGIRT-seq to quantitate Intron-exon Depth Ratios (IDRs) and mapping reads to both genome and transcriptome reference sequences, we developed methods for parallel analysis of transcriptional and post-transcriptional gene regulation. This analysis identified numerous differentially and non-differentially expressed protein-coding genes in IBC tumors and PBMCs with high IDRs, the latter reflecting rate-limiting RNA splicing that negatively impacts mRNA production. Mirroring gene expression differences in tumors and PBMCs, over-represented protein-coding gene RNAs in IBC patient plasma were largely intronic RNAs, while those in non-IBC patients and healthy donor plasma were largely mRNA fragments. Potential IBC biomarkers in plasma included T-cell receptor pre-mRNAs and intronic, LINE-1, and antisense RNAs. Our findings provide new insights into IBC and set the stage for monitoring disease progression and response to treatment by liquid biopsy. The methods developed for parallel transcriptional and post-transcriptional gene regulation analysis have potentially broad RNA-seq and clinical applications.