College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
College of Computer Science and Technology, Beijing Forestry University, Beijing 100083, China.
Database (Oxford). 2024 Sep 3;2024. doi: 10.1093/database/baae075.
Copper-induced cell death is a novel mechanism of cell death, which is defined as cuproptosis. The increasing level of copper can produce toxicity in cells and may cause the occurrence of cell death. Several previous studies have proved that cuproptosis has a tight association with various cancers. Thus, the discovery of relationships between cuproptosis-related genes (CRGs) and human cancers is of great importance. Pan-cancer analysis can efficiently help researchers find out the relationship between multiple cancers and target genes precisely and make various prognostic analyses on cancers and cancer patients. Pan-cancer web servers can provide researchers with direct results of pan-cancer prognostic analyses, which can greatly improve the efficiency of their work. However, to date, no web server provides pan-cancer analysis about CRGs. Therefore, we introduce the cuproptosis pan-cancer analysis database (CuPCA), the first database for various analysis results of CRGs through 33 cancer types. CuPCA is a user-friendly resource for cancer researchers to gain various prognostic analyses between cuproptosis and cancers. It provides single CRG pan-cancer analysis, multi-CRGs pan-cancer analysis, multi-CRlncRNA pan-cancer analysis, and mRNA-circRNA-lncRNA conjoint analysis. These analysis results can not only indicate the relationship between cancers and cuproptosis at both gene level and protein level, but also predict the conditions of different cancer patients, which include their clinical condition, survival condition, and their immunological condition. CuPCA procures the delivery of analyzed data to end users, which improves the efficiency of wide research as well as releases the value of data resources. Database URL: http://cupca.cn/.
铜诱导的细胞死亡是一种新的细胞死亡机制，被定义为铜死亡。铜水平的升高会在细胞中产生毒性，可能导致细胞死亡的发生。几项先前的研究已经证明，铜死亡与各种癌症密切相关。因此，发现铜死亡相关基因（CRGs）与人类癌症之间的关系非常重要。泛癌分析可以有效地帮助研究人员准确地找出多种癌症之间的关系和靶基因，并对癌症和癌症患者进行各种预后分析。泛癌网络服务器可以为研究人员提供泛癌预后分析的直接结果，这可以大大提高他们的工作效率。然而，迄今为止，还没有网络服务器提供关于 CRGs 的泛癌分析。因此，我们介绍了铜死亡泛癌分析数据库（CuPCA），这是第一个通过 33 种癌症类型对 CRGs 的各种分析结果进行分析的数据库。CuPCA 是癌症研究人员获得铜死亡与癌症之间各种预后分析的有用资源。它提供了单个 CRG 泛癌分析、多个 CRGs 泛癌分析、多个 CRlncRNA 泛癌分析和 mRNA-circRNA-lncRNA 联合分析。这些分析结果不仅可以指示癌症与铜死亡在基因水平和蛋白质水平上的关系，还可以预测不同癌症患者的情况，包括他们的临床状况、生存状况和免疫状况。CuPCA 将分析数据传递给最终用户，从而提高了广泛研究的效率，并释放了数据资源的价值。数据库网址：http://cupca.cn/。
