摘要P3-10-29: trna衍生片段作为曲妥珠单抗耐药乳腺癌的新型预测生物标志物

C. Sun, Wei Li, Hao Wu, Xue F. Huang, Jing Li, Z. Fu, J. Tang, Yuxin Yin
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A receiver operating characteristic (ROC) curve analysis was performed to evaluate the power of specific tRNA-derived fragments.Progression-free survival (PFS) was analyzed using Cox-regression. Results:Our sequence results showed that tRNA-derived fragments were differentially expressed in the HBL-100, SKBR3, and JIMT-1 cell lines. tRF-30-JZOYJE22RR33 and tRF-27-ZDXPHO53KSN were found significantly upregulated in trastuzumab-resistant patients compared to sensitive individuals, and the ROC analysis showed that tRF-30-JZOYJE22RR33 and tRF-27-ZDXPHO53KSN were correlated with trastuzumab resistance. In a multivariate analysis, higher levels of tRF-30-JZOYJE22RR33 and tRF-27-ZDXPHO53KSN expression were associated with significantly shorter PFS in patients with metastatic HER-2 positive breast cancer. Conclusion: Our results suggest that tRF-30-JZOYJE22RR33 and tRF-27-ZDXPHO53KSN play important roles in trastuzumab resistance. 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引用次数: 0

摘要

背景:曲妥珠单抗耐药仍然是HER-2阳性乳腺癌的共同挑战。到目前为止,曲妥珠单抗耐药的潜在机制尚不清楚。trna衍生的小非编码RNA是一类新的小非编码RNA (sncRNAs),已被观察到在癌症进展中发挥重要作用。然而,trna衍生片段与曲妥珠单抗耐药之间的关系尚不清楚。方法:采用高通量测序技术检测正常乳腺上皮细胞系、曲妥珠单抗敏感和耐药乳腺癌细胞系中trna衍生片段的表达水平。采用qRT-PCR验证曲妥珠单抗敏感和耐药患者血清中的差异表达片段。采用受试者工作特征(ROC)曲线分析来评估特定trna衍生片段的功效。采用cox回归分析无进展生存期(PFS)。结果:我们的序列结果显示,trna衍生片段在HBL-100、SKBR3和JIMT-1细胞系中存在差异表达。tRF-30-JZOYJE22RR33和tRF-27-ZDXPHO53KSN在曲妥珠单抗耐药患者中较敏感个体显著上调,ROC分析显示,tRF-30-JZOYJE22RR33和tRF-27-ZDXPHO53KSN与曲妥珠单抗耐药相关。在一项多变量分析中,较高水平的tRF-30-JZOYJE22RR33和tRF-27-ZDXPHO53KSN表达与转移性HER-2阳性乳腺癌患者的PFS显著缩短相关。结论:我们的研究结果提示,tRF-30-JZOYJE22RR33和tRF-27-ZDXPHO53KSN在曲妥珠单抗耐药中发挥重要作用。高水平表达tRF-30-JZOYJE22RR33和tRF-27-ZDXPHO53KSN的患者从基于曲珠单抗的治疗中获益小于表达这些分子较低水平的患者。tRF-30-JZOYJE22RR33和tRF-27-ZDXPHO53KSN可能是曲妥珠单抗耐药乳腺癌临床治疗的潜在生物标志物和干预靶点。引文格式:太阳C,李W,吴H,黄X,李J,傅Z,唐J,阴y tRNA-derived片段作为小说预测生物标志物trastuzumab-resistant乳腺癌[摘要]。2018年圣安东尼奥乳腺癌研讨会论文集;2018年12月4-8日;费城(PA): AACR;癌症杂志,2019;79(4增刊):P3-10-29。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Abstract P3-10-29: tRNA-derived fragments as novel predictive biomarkers for trastuzumab-resistant breast cancer
Background: Resistance to trastuzumab remains a common challenge to HER-2 positive breast cancer. Up until now, the underlying mechanism of trastuzumab resistance is still unclear. tRNA-derived small non-coding RNAs, a new class of small non-coding RNA (sncRNAs), have been observed to play an important role in cancer progression. However, the relationship between tRNA-derived fragments and trastuzumab resistance is still unknown. Methods:We detected the levels of tRNA-derived fragments expression in normal breast epithelial cell lines, trastuzumab-sensitive and -resistant breast cancer cell linesusing high-throughput sequencing.qRT-PCR was conducted to validate the differentially expressed fragments in serums from trastuzumab-sensitive and -resistant patients. A receiver operating characteristic (ROC) curve analysis was performed to evaluate the power of specific tRNA-derived fragments.Progression-free survival (PFS) was analyzed using Cox-regression. Results:Our sequence results showed that tRNA-derived fragments were differentially expressed in the HBL-100, SKBR3, and JIMT-1 cell lines. tRF-30-JZOYJE22RR33 and tRF-27-ZDXPHO53KSN were found significantly upregulated in trastuzumab-resistant patients compared to sensitive individuals, and the ROC analysis showed that tRF-30-JZOYJE22RR33 and tRF-27-ZDXPHO53KSN were correlated with trastuzumab resistance. In a multivariate analysis, higher levels of tRF-30-JZOYJE22RR33 and tRF-27-ZDXPHO53KSN expression were associated with significantly shorter PFS in patients with metastatic HER-2 positive breast cancer. Conclusion: Our results suggest that tRF-30-JZOYJE22RR33 and tRF-27-ZDXPHO53KSN play important roles in trastuzumab resistance. Patients with high levels of tRF-30-JZOYJE22RR33 and tRF-27-ZDXPHO53KSN expression benefitted less from trastuzumab-based therapy than those that express lower-levels of these molecules. tRF-30-JZOYJE22RR33 and tRF-27-ZDXPHO53KSN may be potential biomarkers and intervention targets in the clinical treatment of trastuzumab-resistant breast cancer. Citation Format: Sun C, Li W, Wu H, Huang X, Li J, Fu Z, Tang J, Yin Y. tRNA-derived fragments as novel predictive biomarkers for trastuzumab-resistant breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-10-29.
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