Sheng Yang, Yanping Cheng, Tong Liu, Ning Liu, Yufeng Liu, Geyu Liang
Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.
Department of Plastic and Reconstructive Surgery, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, China.
Front Bioeng Biotechnol. 2020 Mar 31;8:206. doi: 10.3389/fbioe.2020.00206. eCollection 2020.
Melanoma is a highly aggressive cancer, attracting increasing attention worldwide. The 5-year survival rate of patients with metastatic melanoma is low. Therefore, it is critical to identify potential effective biomarkers for diagnosis of melanoma metastasis. In the present study, the melanoma cohort and immune genes were obtained from the Cancer Genome Atlas (TCGA) database and the ImmPort database, respectively. Then, we constructed the immune risk score (IRS) using univariate and multivariate logistic analysis. The area under the curve (AUC) of IRS in sequencing samples and the initial diagnosis patients was 0.90 and 0.80, respectively. Besides, IRS could add benefits for metastasis diagnosis. For sequencing samples, IRS (OR = 16.35, 95% CI = 8.74-30.59) increased the odds for melanoma metastasis. Similar results were obtained in the initial diagnosis patients (OR = 8.93, 95% CI = 3.53-22.61). A composite nomogram was built based on IRS and clinical information with well-fitted calibration curves. We further used other independent melanoma cohorts from Gene Expression Omnibus (GEO) databases to confirm the reliability and validity of the IRS (AUC > 0.75, OR > 1.04, and value < 0.01 in all cohorts). In conclusion, IRS is significantly associated with melanoma metastasis and can be a novel effective signature for predicting the metastasis risk.
黑色素瘤是一种侵袭性很强的癌症，在全球范围内受到越来越多的关注。转移性黑色素瘤患者的5年生存率较低。因此，识别黑色素瘤转移的潜在有效生物标志物至关重要。在本研究中，黑色素瘤队列和免疫基因分别从癌症基因组图谱（TCGA）数据库和免疫数据库（ImmPort）中获取。然后，我们使用单变量和多变量逻辑分析构建了免疫风险评分（IRS）。测序样本和初诊患者中IRS的曲线下面积（AUC）分别为0.90和0.80。此外，IRS可为转移诊断提供帮助。对于测序样本，IRS（OR = 16.35，95% CI = 8.74 - 30.59）增加了黑色素瘤转移的几率。在初诊患者中也获得了类似结果（OR = 8.93，95% CI = 3.53 - 22.61）。基于IRS和临床信息构建了一个综合列线图，其校准曲线拟合良好。我们进一步使用来自基因表达综合数据库（GEO）的其他独立黑色素瘤队列来确认IRS的可靠性和有效性（所有队列中AUC > 0.75，OR > 1.04，且 值 < 0.01）。总之，IRS与黑色素瘤转移显著相关，并且可以作为预测转移风险的一种新型有效标志物。
