铜诱导的细胞死亡是一种新的细胞死亡机制，被定义为铜凋亡。铜含量的增加会对细胞产生毒性，并可能导致细胞死亡的发生。之前的几项研究已经证明铜凋亡与多种癌症密切相关。因此，发现铜凋亡相关基因（CRG）与人类癌症之间的关系具有重要意义。泛癌分析可以有效帮助研究人员精确找出多种癌症与靶基因的关系，对癌症及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有关 CRG 的泛癌分析。因此，我们推出了铜凋亡泛癌分析数据库（CuPCA），这是第一个包含 33 种癌症类型的 CRG 各种分析结果的数据库。 CuPCA 是一个用户友好的资源，可供癌症研究人员获得铜凋亡和癌症之间的各种预后分析。它提供单CRG泛癌分析、多CRG泛癌分析、多CRlncRNA泛癌分析和mRNA-circRNA-lncRNA联合分析。这些分析结果不仅可以在基因水平和蛋白质水平上表明癌症与铜凋亡之间的关系，还可以预测不同癌症患者的状况，包括他们的临床状况、生存状况和免疫状况。 CuPCA将分析后的数据交付给最终用户，提高了广泛研究的效率，释放了数据资源的价值。数据库网址：http://cupca.cn/。©作者2024。牛津大学出版社出版。

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/.© The Author(s) 2024. Published by Oxford University Press.