Khodayari Saeed, Khodayari Hamid, Saeedi Elnaz, Mahmoodzadeh Habibollah, Sadrkhah Alireza, Nayernia Karim
International Center for Personalized Medicine (P7MEDICINE), Luise-Rainer-Str. 6-12, 40235 Düsseldorf, Germany.
Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford OX3 7LD, UK.
Cancers (Basel). 2023 Jul 14;15(14):3615. doi: 10.3390/cancers15143615.
Cancer immunotherapy is a promising approach for treating malignancies through the activation of anti-tumor immunity. However, the effectiveness and safety of immunotherapy can be limited by tumor complexity and heterogeneity, caused by the diverse molecular and cellular features of tumors and their microenvironments. Undifferentiated tumor cell niches, which we refer to as the "Origin of Tumor Development" (OTD) cellular population, are believed to be the source of these variations and cellular heterogeneity. From our perspective, the existence of distinct features within the OTD is expected to play a significant role in shaping the unique tumor characteristics observed in each patient. Single-cell transcriptomics is a high-resolution and high-throughput technique that provides insights into the genetic signatures of individual tumor cells, revealing mechanisms of tumor development, progression, and immune evasion. In this review, we explain how single-cell transcriptomics can be used to develop personalized cancer immunotherapy by identifying potential biomarkers and targets specific to each patient, such as immune checkpoint and tumor-infiltrating lymphocyte function, for targeting the OTD. Furthermore, in addition to offering a possible workflow, we discuss the future directions of, and perspectives on, single-cell transcriptomics, such as the development of powerful analytical tools and databases, that will aid in unlocking personalized cancer immunotherapy through the targeting of the patient's cellular OTD.
癌症免疫疗法是一种通过激活抗肿瘤免疫来治疗恶性肿瘤的有前景的方法。然而,免疫疗法的有效性和安全性可能会受到肿瘤复杂性和异质性的限制,这些复杂性和异质性是由肿瘤及其微环境的不同分子和细胞特征所导致的。未分化的肿瘤细胞龛,我们将其称为“肿瘤发生起源”(OTD)细胞群,被认为是这些变异和细胞异质性的来源。从我们的角度来看,OTD内独特特征的存在预计在塑造每个患者中观察到的独特肿瘤特征方面发挥重要作用。单细胞转录组学是一种高分辨率和高通量技术,它能深入了解单个肿瘤细胞的基因特征,揭示肿瘤发生、发展和免疫逃逸的机制。在这篇综述中,我们解释了如何通过识别每个患者特有的潜在生物标志物和靶点,如免疫检查点和肿瘤浸润淋巴细胞功能,来利用单细胞转录组学开发个性化癌症免疫疗法,以靶向OTD。此外,除了提供一种可能的工作流程外,我们还讨论了单细胞转录组学的未来方向和前景,如强大分析工具和数据库的开发,这将有助于通过靶向患者的细胞OTD来实现个性化癌症免疫疗法。