Single-cell transcriptomic profiling of immune landscape in triple-negative breast cancer during neoadjuvant chemotherapy.

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
M R Patysheva, P S Iamshchikov, A A Fedorenko, O D Bragina, M A Vostrikova, E Y Garbukov, N V Cherdyntseva, E V Denisov, T S Gerashchenko
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引用次数: 0

Abstract

Triple-negative breast cancer (TNBC) is the most aggressive subtype, typically requiring neoadjuvant chemotherapy (NAC) as an obligatory component of the treatment regimen. Achieving a pathological complete response to NAC is associated with improved long-term outcomes for patients with TNBC. The functional status of the immune system plays a critical role in NAC efficacy. Herein, we presented the investigation of systemic and local immune landscape during the initial course of NAC treatment and identify factors that contribute to chemotherapy resistance of TNBC. Using single-cell RNA sequencing, we demonstrated that the transcriptional profile remained stable in a patient who responded to NAC, while a non-responder exhibited significant dysregulation in the expression of genes involved in stress response, apoptosis, immune cell proliferation, and differentiation within lymphocyte and monocyte populations. During the first course of NAC, circulating cytotoxic CD8 T cells in the non-responder patient overexpressed granzymes B and H, granulysin, and perforin. In contrast, expression of these factors decreased in CD8 T cells within the tumor. Finally, we identified for a first time a signature of myeloid-derived suppressor cells (MDSC) within the S100АhighMHClow monocyte population and calculated an MDSC score for both the responder and the non-responder TNBC patients. An elevated MDSC score in the non-responder was validated using data from an independent cohort of patients with poor NAC response. Our data underscores the importance of immune system functionality in determining chemotherapy efficacy in TNBC.

新辅助化疗期间三阴性乳腺癌免疫景观的单细胞转录组学分析。
三阴性乳腺癌(TNBC)是最具侵袭性的亚型,通常需要新辅助化疗(NAC)作为治疗方案的强制性组成部分。实现对NAC的病理完全缓解与TNBC患者的长期预后改善相关。免疫系统的功能状态对NAC的疗效起着至关重要的作用。在此,我们研究了NAC治疗初期的全身和局部免疫景观,并确定了导致TNBC化疗耐药的因素。通过单细胞RNA测序,我们证明了对NAC有反应的患者的转录谱保持稳定,而对NAC无反应的患者在涉及应激反应、细胞凋亡、免疫细胞增殖和淋巴细胞和单核细胞群体分化的基因表达中表现出明显的失调。在NAC的第一个疗程中,无应答患者的循环细胞毒性CD8 T细胞过度表达颗粒酶B和H、颗粒酶和穿孔素。相反,这些因子在肿瘤内CD8 T细胞中的表达降低。最后,我们首次在S100АhighMHClow单核细胞群中发现了骨髓源性抑制细胞(MDSC)的特征,并计算了有应答和无应答的TNBC患者的MDSC评分。使用来自NAC不良反应患者的独立队列数据验证了无反应患者的MDSC评分升高。我们的数据强调了免疫系统功能在确定TNBC化疗疗效中的重要性。
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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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