Liu Jinfang, Xu Jun, Luo Binlin, Tang Jian, Hou Zuoqiong, Zhu Zhechen, Zhu Lingjun, Yao Gang, Li Chujun
Department of Plastic and Burns Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 GuangZhou Rd, Nanjing 210029, China.
Department of Oncology, The Third Affiliated Hospital of Soochow University, Soochow 213000, China.
Cancers (Basel). 2022 Mar 21;14(6):1590. doi: 10.3390/cancers14061590.
Current studies have revealed that RNA-binding protein RBM38 is closely related to tumor development, while its role in malignant melanoma remains unclear. Therefore, this research aimed to investigate the function of RBM38 in melanoma and the prognosis of the disease.
Functional experiments (CCK-8 assay, cell colony formation, transwell cell migration/invasion experiment, wound healing assay, nude mouse tumor formation, and immunohistochemical analysis) were applied to evaluate the role of RBM38 in malignant melanoma. Immune-associated differentially expressed genes (DEGs) on RBM38 related immune pathways were comprehensively analyzed based on RNA sequencing results.
We found that high expression of RBM38 promoted melanoma cell proliferation, invasion, and migration, and RBM38 was associated with immune infiltration. Then, a five-gene (A2M, NAMPT, LIF, EBI3, and ERAP1) model of RBM38-associated immune DEGs was constructed and validated. Our signature showed superior prognosis capacity compared with other melanoma prognostic signatures. Moreover, the risk score of our signature was connected with the infiltration of immune cells, immune-regulatory proteins, and immunophenoscore in melanoma.
We constructed an immune prognosis model using RBM38-related immune DEGs that may help evaluate melanoma patient prognosis and immunotherapy modalities.
目前的研究表明,RNA结合蛋白RBM38与肿瘤发展密切相关,但其在恶性黑色素瘤中的作用仍不清楚。因此,本研究旨在探讨RBM38在黑色素瘤中的功能及该疾病的预后情况。
应用功能实验(CCK-8检测、细胞集落形成、transwell细胞迁移/侵袭实验、伤口愈合实验、裸鼠肿瘤形成及免疫组化分析)来评估RBM38在恶性黑色素瘤中的作用。基于RNA测序结果,全面分析RBM38相关免疫途径上的免疫相关差异表达基因(DEG)。
我们发现RBM38的高表达促进黑色素瘤细胞的增殖、侵袭和迁移,且RBM38与免疫浸润相关。随后,构建并验证了一个由五个基因(A2M、NAMPT、LIF、EBI3和ERAP1)组成的RBM38相关免疫DEG模型。与其他黑色素瘤预后特征相比,我们的特征显示出更好的预后能力。此外,我们特征的风险评分与黑色素瘤中免疫细胞、免疫调节蛋白的浸润以及免疫表型评分相关。
我们利用RBM38相关免疫DEG构建了一个免疫预后模型,该模型可能有助于评估黑色素瘤患者的预后和免疫治疗方式。