State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, P.R, China.
Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, Guilin, China.
Oncoimmunology. 2021 Oct 27;10(1):1976439. doi: 10.1080/2162402X.2021.1976439. eCollection 2021.
Spatial information on the tumor immune microenvironment is of clinical relevance. Here, we aimed to quantify the spatial heterogeneity of lymphocytes and cancer cells and evaluated its prognostic value in patients with nasopharyngeal carcinoma (NPC). The scanned immunohistochemistry images of 336 NPC patients from two different hospitals were used to generate cell density maps for tumor and immune cells. Then, Getis-Ord hotspot analysis, a spatial statistic method used to describe species biodiversity in ecological habitats, was applied to identify cancer, immune, and immune-cancer hotspots. The results showed that cancer hotspots were not associated with any of the studied clinical outcomes, while immune-cancer hotspots predicted worse overall survival (OS) in the training cohort. In contrast, a high immune hotspot score was significantly associated with better OS (HR 0.41, 95% CI 0.22-0.77, = .006), disease-free survival (DFS) (HR 0.43, 95% CI 0.24-0.75, = .003) and distant metastasis-free survival (DMFS) (HR 0.40, 95% CI 0.20-0.81, = .011) in NPC patients in the training cohort, and similar associations were also evident in the validation cohort. Importantly, multivariate analysis revealed that the immune hotspot score remained an independent prognostic indicator for OS, DFS, and DMFS in both cohorts. We explored the spatial heterogeneity of cancer cells and lymphocytes in the tumor microenvironment of NPC patients using digital pathology and ecological analysis methods and further constructed three spatial scores. Our study demonstrates that spatial variation may aid in the identification of the clinical prognosis of NPC patients, but further investigation is needed.
肿瘤免疫微环境的空间信息具有临床相关性。在这里,我们旨在量化淋巴细胞和癌细胞的空间异质性,并评估其在鼻咽癌(NPC)患者中的预后价值。使用来自两家不同医院的 336 名 NPC 患者的扫描免疫组织化学图像,为肿瘤和免疫细胞生成细胞密度图。然后,应用空间统计方法 Getis-Ord 热点分析来识别癌症、免疫和免疫-癌症热点。结果表明,癌症热点与任何研究的临床结果均无关,而免疫-癌症热点预测训练队列中总生存期(OS)更差。相比之下,高免疫热点评分与更好的 OS(HR 0.41,95%CI 0.22-0.77, =.006)、无病生存期(DFS)(HR 0.43,95%CI 0.24-0.75, =.003)和远处转移无复发生存期(DMFS)(HR 0.40,95%CI 0.20-0.81, =.011)显著相关,在训练队列中 NPC 患者中具有显著相关性,并且在验证队列中也存在类似的相关性。重要的是,多变量分析表明,在两个队列中,免疫热点评分仍然是 OS、DFS 和 DMFS 的独立预后指标。我们使用数字病理学和生态分析方法探索了 NPC 患者肿瘤微环境中癌细胞和淋巴细胞的空间异质性,并进一步构建了三个空间评分。我们的研究表明,空间变化可能有助于识别 NPC 患者的临床预后,但需要进一步研究。