Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan.
Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan.
Clin Cancer Res. 2023 Jul 5;29(13):2501-2512. doi: 10.1158/1078-0432.CCR-22-3496.
Perineural invasion (PNI) in oral cavity squamous cell carcinoma (OSCC) is associated with poor survival. Because of the risk of recurrence, patients with PNI receive additional therapies after surgical resection. Mechanistic studies have shown that nerves in the tumor microenvironment promote aggressive tumor growth. Therefore, in this study, we evaluated whether nerve density (ND) influences tumor growth and patient survival. Moreover, we assessed the reliability of artificial intelligence (AI) in evaluating ND.
To investigate whether increased ND in OSCC influences patient outcome, we performed survival analyses. Tissue sections of OSCC from 142 patients were stained with hematoxylin and eosin and IHC stains to detect nerves and tumor. ND within the tumor bulk and in the adjacent 2 mm was quantified; normalized ND (NND; bulk ND/adjacent ND) was calculated. The impact of ND on tumor growth was evaluated in chick chorioallantoic-dorsal root ganglia (CAM-DRG) and murine surgical denervation models. Cancer cells were grafted and tumor size quantified. Automated nerve detection, applying the Halo AI platform, was compared with manual assessment.
Disease-specific survival decreased with higher intratumoral ND and NND in tongue SCC. Moreover, NND was associated with worst pattern-of-invasion and PNI. Increasing the number of DRG, in the CAM-DRG model, increased tumor size. Reduction of ND by denervation in a murine model decreased tumor growth. Automated and manual detection of nerves showed high concordance, with an F1 score of 0.977.
High ND enhances tumor growth, and NND is an important prognostic factor that could influence treatment selection for aggressive OSCC. See related commentary by Hondermarck and Jiang, p. 2342.
口腔鳞状细胞癌(OSCC)中的神经周围侵犯(PNI)与生存率差有关。由于复发的风险,PNI 患者在手术切除后接受额外的治疗。机制研究表明,肿瘤微环境中的神经促进了侵袭性肿瘤的生长。因此,在这项研究中,我们评估了神经密度(ND)是否会影响肿瘤生长和患者的生存。此外,我们评估了人工智能(AI)评估 ND 的可靠性。
为了研究 OSCC 中增加的 ND 是否会影响患者的预后,我们进行了生存分析。对 142 例 OSCC 患者的组织切片进行苏木精和伊红染色以及 IHC 染色,以检测神经和肿瘤。在肿瘤实质内和相邻 2mm 处定量 ND;计算归一化 ND(NND;实质 ND/相邻 ND)。在鸡胚绒毛尿囊膜-背根神经节(CAM-DRG)和小鼠手术去神经模型中评估 ND 对肿瘤生长的影响。移植癌细胞并量化肿瘤大小。应用 Halo AI 平台的自动神经检测与手动评估进行比较。
舌 SCC 中肿瘤内 ND 和 NND 越高,疾病特异性生存率越低。此外,NND 与侵袭模式和 PNI 最差相关。CAM-DRG 模型中增加 DRG 的数量会增加肿瘤的大小。在小鼠模型中通过去神经减少 ND 会降低肿瘤生长。神经的自动和手动检测具有很高的一致性,F1 得分为 0.977。
高 ND 增强了肿瘤的生长,NND 是一个重要的预后因素,可能影响侵袭性 OSCC 的治疗选择。见 Hondermarck 和 Jiang 的相关评论,第 2342 页。