Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, Oregon.
Computational Biology Program, Oregon Health & Science University, Portland, Oregon.
Cancer Discov. 2021 Aug;11(8):2014-2031. doi: 10.1158/2159-8290.CD-20-0841. Epub 2021 Mar 16.
Immunotherapies targeting aspects of T cell functionality are efficacious in many solid tumors, but pancreatic ductal adenocarcinoma (PDAC) remains refractory to these treatments. Deeper understanding of the PDAC immune ecosystem is needed to identify additional therapeutic targets and predictive biomarkers for therapeutic response and resistance monitoring. To address these needs, we quantitatively evaluated leukocyte contexture in 135 human PDACs at single-cell resolution by profiling density and spatial distribution of myeloid and lymphoid cells within histopathologically defined regions of surgical resections from treatment-naive and presurgically (neoadjuvant)-treated patients and biopsy specimens from metastatic PDAC. Resultant data establish an immune atlas of PDAC heterogeneity, identify leukocyte features correlating with clinical outcomes, and, through an study, provide guidance for use of PDAC tissue microarrays to optimally measure intratumoral immune heterogeneity. Atlas data have direct applicability as a reference for evaluating immune responses to investigational neoadjuvant PDAC therapeutics where pretherapy baseline specimens are not available. SIGNIFICANCE: We provide a phenotypic and spatial immune atlas of human PDAC identifying leukocyte composition at steady state and following standard neoadjuvant therapies. These data have broad utility as a resource that can inform on leukocyte responses to emerging therapies where baseline tissues were not acquired..
免疫疗法针对 T 细胞功能的各个方面在许多实体瘤中都有效,但胰腺导管腺癌(PDAC)仍然对这些治疗方法有抗性。为了确定治疗反应和耐药监测的额外治疗靶点和预测性生物标志物,需要更深入地了解 PDAC 的免疫生态系统。为了满足这些需求,我们通过对来自未经治疗和术前(新辅助)治疗的手术切除标本以及转移性 PDAC 的活检标本中组织病理学定义区域内的髓样和淋巴样细胞的密度和空间分布进行分析,以单细胞分辨率定量评估了 135 个人 PDAC 中的白细胞结构。所得数据建立了 PDAC 异质性的免疫图谱,确定了与临床结果相关的白细胞特征,并通过研究为使用 PDAC 组织微阵列来最佳测量肿瘤内免疫异质性提供了指导。图谱数据可直接用作评估研究性新辅助 PDAC 治疗药物的免疫反应的参考,因为无法获得治疗前的基线样本。意义:我们提供了人类 PDAC 的表型和空间免疫图谱,确定了稳态和标准新辅助治疗后白细胞的组成。这些数据具有广泛的用途,可作为资源,为出现的治疗方法中白细胞反应提供信息,这些治疗方法中没有获取基线组织。