Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Endocr Relat Cancer. 2019 Jun;26(6):601-614. doi: 10.1530/ERC-19-0074.
The prevalence of thyroid carcinoma is increasing and represents the most common endocrine malignancy, with papillary thyroid carcinoma (PTC) being the most frequent subtype. The genetic alterations identified in PTCs fail to distinguish tumors with different clinical behaviors, such as extra-thyroidal extension and lymph node metastasis. We hypothesize that the immune microenvironment may play a critical role in tumor invasion and metastasis. Computational immunogenomic analysis was performed on 568 PTC samples in The Cancer Genome Atlas using CIBERSORT, TIMER and TIDE deconvolution analytic tools for characterizing immune cell composition. Immune cell infiltrates were correlated with histologic type, mutational type, tumor pathologic T stage and lymph node N stage. Dendritic cells (DCs) are highly associated with more locally advanced tumor T stage (T3/T4, odds ratio (OR) = 2.6, CI = 1.4-4.5, P = 5.4 × 10-4). Increased dendritic cells (OR = 3.4, CI = 1.9-6.3, P = 5.5 × 10-5) and neutrophils (OR = 10.5, CI = 2.7-44, P = 8.7 × 10-4) significantly correlate with lymph node metastasis. In addition, dendritic cells positively correlate with tall cell morphology (OR = 4.5, CI = 1.6-13, P = 4.9 × 10-3) and neutrophils negatively correlate with follicular morphology (OR = 1.3 × 10-3, CI = 5.3 × 10-5-0.031, P = 4.1 × 10-5). TIDE analysis indicates an immune-exclusive phenotype that may be mediated by increased galectin-3 found in PTCs. Thus, characterization of the PTC immune microenvironment using three computational platforms shows that specific immune cells correlate with mutational type, histologic type, local tumor extent and lymph node metastasis. Immunologic evaluation of PTCs may provide a better indication of biologic behavior, resulting in the improved diagnosis and treatment of thyroid cancer.
甲状腺癌的发病率正在上升,是最常见的内分泌恶性肿瘤,其中以甲状腺乳头状癌(PTC)最为常见。在 PTC 中发现的基因改变无法区分具有不同临床行为的肿瘤,例如甲状腺外侵犯和淋巴结转移。我们假设免疫微环境可能在肿瘤侵袭和转移中发挥关键作用。使用 CIBERSORT、TIMER 和 TIDE 去卷积分析工具,对癌症基因组图谱(The Cancer Genome Atlas)中的 568 个 PTC 样本进行了计算免疫基因组分析,以描述免疫细胞组成。免疫细胞浸润与组织学类型、突变类型、肿瘤病理 T 分期和淋巴结 N 分期相关。树突状细胞(DCs)与更局部晚期肿瘤 T 分期(T3/T4)高度相关(优势比(OR)=2.6,CI=1.4-4.5,P=5.4×10-4)。增加的树突状细胞(OR=3.4,CI=1.9-6.3,P=5.5×10-5)和中性粒细胞(OR=10.5,CI=2.7-44,P=8.7×10-4)与淋巴结转移显著相关。此外,树突状细胞与高细胞形态呈正相关(OR=4.5,CI=1.6-13,P=4.9×10-3),中性粒细胞与滤泡形态呈负相关(OR=1.3×10-3,CI=5.3×10-5-0.031,P=4.1×10-5)。TIDE 分析表明,免疫排他性表型可能是由 PTC 中发现的半乳糖凝集素-3 增加介导的。因此,使用三个计算平台对 PTC 免疫微环境进行特征描述表明,特定的免疫细胞与突变类型、组织学类型、局部肿瘤范围和淋巴结转移相关。对 PTC 的免疫评估可能提供更好的生物学行为指标,从而改善甲状腺癌的诊断和治疗。