Jainarayanan Ashwin, Mouroug-Anand Nithishwer, Arbe-Barnes Edward H, Bush Adam J, Bashford-Rogers Rachael, Frampton Adam, Heij Lara, Middleton Mark, Dustin Michael L, Abu-Shah Enas, Sivakumar Shivan
Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, OX3 7FY Oxford, UK.
Interdisciplinary Bioscience Doctoral Training Centre, University of Oxford, OX1 3NP Oxford, UK.
iScience. 2023 Mar 7;26(4):106324. doi: 10.1016/j.isci.2023.106324. eCollection 2023 Apr 21.
Pancreatic ductal adenocarcinoma (PDAC) is among the deadliest types of cancer and has a 5-year survival of less than 8% owing to its complex biology. As PDAC is refractory to immunotherapy, we need to understand the functional dynamics of T cells in the PDAC microenvironment to develop alternative therapeutic strategies. In this study, we performed RNA velocity-based pseudotime analysis on a scRNA-seq dataset from surgically resected human PDAC specimens to gain insight into temporal gene expression patterns that best characterize the cell fates. The tumor microenvironment was seen to encompass a range of terminal states for the T cell trajectories with suppressive and non-tumor-responsive T cells dominating them. However, the results also reveal the existence of a functional branch of the T cell population that was not transitioning to exhausted and senescent states. These findings reveal various microenvironmental signals driving T cell patterns which can be useful in identifying new therapeutic avenues.
胰腺导管腺癌(PDAC)是最致命的癌症类型之一,由于其生物学特性复杂,5年生存率低于8%。由于PDAC对免疫疗法难治,我们需要了解PDAC微环境中T细胞的功能动态,以制定替代治疗策略。在本研究中,我们对来自手术切除的人类PDAC标本的scRNA-seq数据集进行了基于RNA速度的伪时间分析,以深入了解最能表征细胞命运的时间基因表达模式。肿瘤微环境被认为包含T细胞轨迹的一系列终末状态,其中抑制性和非肿瘤反应性T细胞占主导。然而,结果还揭示了T细胞群体中存在一个未转变为耗竭和衰老状态的功能分支。这些发现揭示了驱动T细胞模式的各种微环境信号,这可能有助于识别新的治疗途径。