CuPCA - a web server for pan-cancer association analysis of large-scale cuproptosis-related genes

Sep 21, 2026

Uploaded by Theodore

Copper-induced cell death, called cuproptosis, is a copper-dependent regulated process with increasing evidence linking cuproptosis-related genes to diverse cancers. Pan-cancer analysis enables efficient identification of relationships between multiple cancers and target genes, supporting prognostic and patient outcome evaluations. However, prior resources lacked a web server dedicated to pan-cancer analysis of cuproptosis-related genes. CuPCA provides user-friendly single-gene, multi-gene, CRG–lncRNA, and mRNA–circRNA–lncRNA conjoint analyses across 33 cancer types, reporting gene- and protein-level associations and predicting clinical, survival, and immunological conditions.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages10

Reading Time25 min

AccessFree to download

Abstract

Introduction

Data sources and existing databases

Rationale for CuPCA

Database design and visualization

CuPCA: a web server for pan-cancer association analysis of large-scale cuproptosis-related genes Yishu Xu1,‡, Zhenshu Ma2,‡, Yajie Wang3,‡, Long Zhang4 , Jiaming Ye1 , Yuan Chen 3 , Zhengrong Yuan1,* 1 College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China 2 College of Computer Science and Technology, Beijing Forestry University, Beijing 100083, China 3 Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China 4 College of Art, Beijing Forestry University, Beijing 100083, China *Corresponding author. College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China. E-mail: [zryuan@bjfu.edu.cn](zryuan@bjfu.edu.cn).‡These authors contributed equally to this work. Citation details: Xu, Y., Ma, Z., Wang, Y. et al. CuPCA: a web server for pan-cancer association analysis of large-scale cuproptosis-related genes. Database (2024) Vol. 2024: article ID baae075; DOI: [https://doi.org/10.1093/database/baae075](https://doi.org/10.1093/database/baae075) Abstract 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 cuproptosisand 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/](http://cupca.cn/) Introduction Copper is a crucial trace element necessary for cardiovascular, neural, and immune system functions [1] . It plays a significant supportive role in various life processes by maintaining homeostasis [2] . Copper-dependent cell death occurs when copper directly binds to lipoylated components of the tricarboxylic acid (TCA) cycle [3, 4] . This can lead to various types of cell death, such as apoptosis and autophagy, primarily through mechanisms like antiangiogenesis, proteasome inhibition, and accumulation of reactive oxygen species [5]. This unique type of copper-induced regulated cell death is called cuproptosis [6] . Cuproptosis is related to cancers since unbalanced Cu homeostasis can affect tumor growth and may cause irreversible damage to cancer cells. Thus, cuproptosiscan be used for developing effective cancer therapies, and the expression of CRGs is of great importance in cancer therapy research. Pan-cancer studies have identified many genes that are frequently somatically altered across multiple tumor types, suggesting that pathway-targeted therapies can be deploye

FAQs

What is CuPCA and what does it provide to users?

CuPCA is a cuproptosis pan-cancer analysis database that provides multiple analysis results for cuproptosis-related genes across 33 cancer types.

What kinds of analyses can CuPCA perform?

It supports single CRG pan-cancer analysis, multi-CRGs analysis, multi-CRlncRNA analysis, and mRNA–circRNA–lncRNA conjoint analysis.

What cancer-related outputs does CuPCA help interpret?

The results indicate associations between cancers and cuproptosis at gene and protein levels and enable prognostic predictions covering clinical condition, survival condition, and immunological condition.

Sep 21, 2026

Uploaded by Theodore