Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
Clinical Medicine Eight-Year Program, Central South University, Changsha 410013, Hunan Province, China.
Aging (Albany NY). 2022 Apr 29;14(8):3705-3719. doi: 10.18632/aging.204039.
To reveal the expression and prognostic value of replication factor C family genes (RFCs) in patients with sarcoma.
The results showed that the mRNA expression levels of RFC2, RFC3, RFC4, and RFC5 were increased in sarcoma tissues. In addition, Cancer Cell Line Encyclopedia (CCLE) dataset analysis indicated that RFC1, RFC2, RFC3, RFC4, and RFC5 were elevated expressed in sarcoma cell lines. Moreover, Gene Expression Profiling Interactive Analysis (GEPIA) and Kaplan-Meier Plotter showed that highly expressed RFC2-5 were associated with poor overall survival (OS) or relapse-free survival (RFS) in sarcoma patients. The results of the Tumor Immune Estimation Resource (TIMER) database indicated that the expression of RFCs was negatively correlated with the infiltration of CD4+ T cells and macrophages.
There were significant differences in the expression of RFCs between normal tissue and sarcoma tissue, and RFC2, RFC3, RFC4, and RFC5 might be promising prognostic biomarkers for sarcoma.
The expression of RFCs was analyzed using the ONCOMINE dataset and GEPIA dataset. CCLE dataset was used to assess the expression of RFCs in the cancer cell line. The prognostic value of RFCs was evaluated by GEPIA and Kaplan-Meier analysis. Furthermore, the association between RFCs and their co-expressed genes were explored via ONCOMINE and GEPIA datasets. We used the TIMER dataset to analyze the immune cell infiltration of RFCs in sarcoma.
揭示复制因子 C 家族基因（RFCs）在肉瘤患者中的表达及其预后价值。
结果显示，RFC2、RFC3、RFC4 和 RFC5 的 mRNA 表达水平在肉瘤组织中升高。此外，癌症细胞系百科全书（CCLE）数据集分析表明，RFC1、RFC2、RFC3、RFC4 和 RFC5 在肉瘤细胞系中表达上调。此外，基因表达谱分析交互工具（GEPIA）和 Kaplan-Meier 绘图器显示，RFC2-5 高表达与肉瘤患者总体生存（OS）或无复发生存（RFS）不良相关。肿瘤免疫估计资源（TIMER）数据库的结果表明，RFCs 的表达与 CD4+T 细胞和巨噬细胞的浸润呈负相关。
RFCs 在正常组织和肉瘤组织中的表达存在显著差异，RFC2、RFC3、RFC4 和 RFC5 可能是有前途的肉瘤预后生物标志物。
使用 ONCOMINE 数据集和 GEPIA 数据集分析 RFCs 的表达。CCLE 数据集用于评估 RFCs 在癌细胞系中的表达。通过 GEPIA 和 Kaplan-Meier 分析评估 RFCs 的预后价值。此外，通过 ONCOMINE 和 GEPIA 数据集探索 RFCs 与其共表达基因之间的关系。我们使用 TIMER 数据集分析 RFCs 在肉瘤中的免疫细胞浸润。
