Liu Qian, Ma Fangyu, Zhang Guanxiong
Big Data Institute, Central South University, Changsha, Hunan, China.
Health Management center Xiangya Hospital, Central South University, China.
Heliyon. 2024 Jun 15;10(12):e33088. doi: 10.1016/j.heliyon.2024.e33088. eCollection 2024 Jun 30.
The inflammatory response plays a crucial role in determining the prognosis and therapeutic response of skin cutaneous melanoma (SKCM). However, the molecular subtypes based on the inflammatory response and their clinical significance in SKCM have not been extensively studied. Clustering analyses to identify inflammation subtypes of SKCM based on the expression levels of inflammation response gene. We identified three subtypes: Inflammation_H, Inflammation_M, and Inflammation_L, which offer a more nuanced understanding of the complex relationship between inflammation and SKCM. The Inflammation_H subtype is associated with the most favourable prognosis, and is characterised by high levels of immune infiltrates and PD-L1 expression, low levels of stemness, high differentiation, and high genomic stability. In contrast, the Inflammation_L subtype has the least favourable prognosis, with the lowest levels of immune infiltrates and PD-L1 expression, high levels of stemness, low differentiation, and low genomic stability. In addition, the Inf-score, which is a linear risk scoring model based on the expression levels of inflammatory response genes, can be a useful tool for clinicians to assess SKCM prognosis and guide therapeutic decisions. This scoring model shows promise for clinical use in predicting patient outcomes and helps clinicians tailor treatments for individual patients. In conclusion, these findings represent a significant contribution to our understanding of the molecular subtypes of SKCM based on the levels of inflammatory response genes and their potential clinical significance. However, further studies are necessary to validate these findings and explore the underlying mechanisms of different subtypes.
炎症反应在决定皮肤黑色素瘤（SKCM）的预后和治疗反应中起着关键作用。然而，基于炎症反应的分子亚型及其在SKCM中的临床意义尚未得到广泛研究。通过聚类分析，根据炎症反应基因的表达水平来识别SKCM的炎症亚型。我们确定了三种亚型：炎症_H型、炎症_M型和炎症_L型，这为更细致地理解炎症与SKCM之间的复杂关系提供了依据。炎症_H亚型与最有利的预后相关，其特征是免疫浸润和PD-L1表达水平高、干性水平低、分化程度高以及基因组稳定性高。相比之下，炎症_L亚型的预后最不利，免疫浸润和PD-L1表达水平最低、干性水平高、分化程度低以及基因组稳定性低。此外，Inf评分是一种基于炎症反应基因表达水平的线性风险评分模型，可作为临床医生评估SKCM预后和指导治疗决策的有用工具。这种评分模型在预测患者预后方面显示出临床应用前景，并有助于临床医生为个体患者量身定制治疗方案。总之，这些发现为我们基于炎症反应基因水平对SKCM分子亚型及其潜在临床意义的理解做出了重大贡献。然而，需要进一步研究来验证这些发现并探索不同亚型的潜在机制。
