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CD3-CD8 免疫评分与临床评分相关,可分层 PDAC 预后,与辅助或新辅助化疗无关。

CD3-CD8 immune score associated with a clinical score stratifies PDAC prognosis regardless of adjuvant or neoadjuvant chemotherapy.

机构信息

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France.

INSERM LNC-UMR1231 Research Center, TIRECS Team, Dijon, France.

出版信息

Oncoimmunology. 2023 Dec 21;13(1):2294563. doi: 10.1080/2162402X.2023.2294563. eCollection 2024.

DOI:10.1080/2162402X.2023.2294563
PMID:38169969
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10761164/
Abstract

Stratification of the prognosis of pancreatic cancer (PDAC) patients treated by surgery is based solely on clinical variables, such as tumor stage and node status. The development of biomarkers of relapse is needed, especially to drive administration of adjuvant therapy in this at-risk population. Our study evaluates the prognostic performance of a CD3- and CD8-based immune score. CD3, CD8 and Foxp3 expression were evaluated on whole slides in two retrospective PDAC cohorts totaling 334 patients. For this study, we developed an immune score to estimate CD3 and CD8 infiltration in both tumor core and invasive margin using computer-guided analysis with QuPath software. Variables were combined in a dichotomous immune score. The association between immune and clinical scores, and both PFS and OS was investigated. We observed that a dichotomous immune score predicts both PFS and OS of localized PDAC. By univariate and multivariate analysis, immune score, tumor grade, adjuvant therapy, lymph node status, and adjuvant chemotherapy administration were associated with PFS and OS. We subsequently associated the PDAC immune score and clinical variables in a combined score. This combined score predicted patient outcomes independently of adjuvant or neoadjuvant treatment, and improved patient prognostic prediction compared to clinical variables or immune score alone.

摘要

对接受手术治疗的胰腺癌 (PDAC) 患者进行预后分层仅基于临床变量,如肿瘤分期和淋巴结状态。需要开发用于复发的生物标志物,特别是为了在这个高危人群中推动辅助治疗的管理。我们的研究评估了基于 CD3 和 CD8 的免疫评分的预后性能。在两个总计 334 名患者的回顾性 PDAC 队列中,在整个幻灯片上评估了 CD3、CD8 和 Foxp3 的表达。为了这项研究,我们使用 QuPath 软件开发了一种免疫评分,用于使用计算机引导分析来估计肿瘤核心和浸润边缘的 CD3 和 CD8 浸润。变量组合成二项免疫评分。研究了免疫和临床评分与 PFS 和 OS 之间的关系。我们观察到,二项免疫评分可预测局部 PDAC 的 PFS 和 OS。通过单变量和多变量分析,免疫评分、肿瘤分级、辅助治疗、淋巴结状态和辅助化疗的应用与 PFS 和 OS 相关。随后,我们将 PDAC 免疫评分与临床变量结合在一个综合评分中。与临床变量或免疫评分相比,该联合评分可独立预测患者的预后,并且改善了患者的预后预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c34f/10761164/c700c716fd47/KONI_A_2294563_F0003_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c34f/10761164/edadb0e3c11d/KONI_A_2294563_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c34f/10761164/6c48ed36a1ca/KONI_A_2294563_F0002_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c34f/10761164/c700c716fd47/KONI_A_2294563_F0003_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c34f/10761164/edadb0e3c11d/KONI_A_2294563_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c34f/10761164/6c48ed36a1ca/KONI_A_2294563_F0002_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c34f/10761164/c700c716fd47/KONI_A_2294563_F0003_OC.jpg

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Cancer-associated fibroblasts in pancreatic ductal adenocarcinoma.
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