Heilongjiang University of Chinese Medicine, China.
First Affiliated Hospital, Heilongjiang University of Chinese Medicine, China.
Comput Math Methods Med. 2021 Nov 8;2021:1163250. doi: 10.1155/2021/1163250. eCollection 2021.
Being potential field of research for tumor immunological therapy, the head and neck squamous cell carcinoma (HNSCC) is one of most discussed types of tumor. Recently, some clinical trials have also used immunological therapy and demonstrated a subset of HNSCC patients who have shown a clear longer survival time.
To conduct further studies and deeper research in the immunological oncology of HNSCC, a more detailed description and comprehending of the complicated landscape of immune infiltrative may be required.
Firstly, we have described the fraction of different infiltrating immune cells in the HNSCC tumor and then compared it to the normal tissue, and secondly, we have explored the clinical implications of various infiltrated immune cell fractions meticulously. The gene expression profiles of HNSCC tissue were obtained from databases of TCGA and GEO and utilized the deconvolution algorithm (CIBERSORT) to presume the fractions of 22 several immune sensitive cells.
Our results indicated that the immune infiltrating cell fractions were considerably different between HNSCC tumor tissue and paired normal tissue, but at the same time, we found a potential internal correlation among the immune cells and also showed the association between immune infiltrating cells and their clinical characteristics. It is worth noting that the resting dendritic cells and M1 macrophages were linked with a favorable prognosis, while the CD4+ T cells with a poorer outcome.
Fractions of immune cell percentage were also associated with tumors' pathological grade, age, and TNM stage.
头颈部鳞状细胞癌（HNSCC）是最常讨论的肿瘤类型之一，是肿瘤免疫治疗的潜在研究领域。最近，一些临床试验也使用了免疫疗法，并证明了一部分 HNSCC 患者的生存时间明显延长。
为了对头颈部鳞状细胞癌的免疫肿瘤学进行进一步的研究和深入研究，可能需要更详细地描述和理解免疫浸润的复杂景观。
首先，我们描述了 HNSCC 肿瘤中不同浸润免疫细胞的分数，然后将其与正常组织进行比较；其次，我们详细探讨了各种浸润免疫细胞分数的临床意义。从 TCGA 和 GEO 的数据库中获取 HNSCC 组织的基因表达谱，并利用去卷积算法（CIBERSORT）来推测 22 种免疫敏感细胞的分数。
我们的结果表明，HNSCC 肿瘤组织和配对正常组织之间的免疫浸润细胞分数有很大差异，但同时，我们发现免疫细胞之间存在潜在的内在相关性，并显示了免疫浸润细胞与临床特征之间的关联。值得注意的是，静止树突状细胞和 M1 巨噬细胞与预后良好相关，而 CD4+T 细胞则与预后较差相关。
免疫细胞百分比的分数也与肿瘤的病理分级、年龄和 TNM 分期有关。
