Construction of a Cuproptosis-Related Gene Signature for Predicting Prognosis in Gastric Cancer

Hu, Yongli; Du, Yuchen; Qiu, Zhisheng; Bai, Pengwei; Bai, Zhigang; Zhu, Chenglou; Wang, Junhong; Tong, Liang; Da, Mingxu

doi:10.1007/s10528-023-10406-9

Cited by 2 publications

(1 citation statement)

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“…In contrast to this study, which solely utilized the TCGA data set for analysis, our study takes a more comprehensive approach by incorporating three different datasets. Additionally, our study employs a different modeling approach (PC), which may provide unique insights and perspectives on the topic at hand [ 40 ]. Part of these studies have explored the relationship between cuproptosis mechanisms and tumor genomics, but have not characterized the genomic landscape of specific tumors exhaustively.…”

Section: Discussionmentioning

confidence: 99%

Clinical features and molecular landscape of cuproptosis signature‐related molecular subtype in gastric cancer

Chong,

Ren,

Chen

et al. 2024

iMeta

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Recent studies have highlighted the biological significance of cuproptosis in disease occurrence and development. However, it remains unclear whether cuproptosis signaling also has potential impacts on tumor initiation and prognosis of gastric cancer (GC). In this study, 16 cuproptosis‐related genes (CRGs) transcriptional profiles were harnessed to perform the regularized latent variable model‐based clustering in GC. A cuproptosis signature risk scoring (CSRS) scheme, based on a weighted sum of principle components of the CRGs, was used to evaluate the prognosis and risk of individual tumors of GC. Four distinct cuproptosis signature‐based clusters, characterized by differential expression patterns of CRGs, were identified among 1136 GC samples across three independent databases. The four clusters were also associated with different clinical outcomes and tumor immune contexture. Based on the CSRS, GC patients can be divided into CSRS‐High and CSRS‐Low subtypes. We found that DBT, MTF1, and ATP7A were significantly elevated in the CSRS‐High subtype, while SLC31A1, GCSH, LIAS, DLAT, FDX1, DLD, and PDHA1 were increased in the CSRS‐Low subtype. Patients with CSRS‐Low score were characterized by prolonged survival time. Further analysis indicated that CSRS‐Low score also correlated with greater tumor mutation burden (TMB) and higher mutation rates of significantly mutated genes (SMG) in GC. In addition, the CSRS‐High subtype harbored more significantly amplified focal regions related to tumorigenesis (3q27.1, 12p12.1, 11q13.3, etc.) than the CSRS‐Low tumors. Drug sensitivity analyses revealed the potential compounds for the treatment of gastric cancer with CSRS‐High score, which were experimentally validated using GC cells. This study highlights that cuproptosis signature‐based subtyping is significantly associated with different clinical features and molecular landscape of GC. Quantitative evaluation of the CSRS of individual tumors will strengthen our understanding of the occurrence and development of cuproptosis and the treatment progress of GC.

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Section: Discussionmentioning

confidence: 99%