Identification and Validation of Glycosyltransferases Correlated with Cuproptosis as a Prognostic Model for Colon Adenocarcinoma

Ma, Wei; Zhu, Lingyuan; Song, Shushu; Liu, Bo; Gu, Jianxin

doi:10.3390/cells11233728

Cited by 4 publications

(2 citation statements)

References 40 publications

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“…At present, the research of cuproptosis in liver cancer, lung cancer, triple negative breast cancer and other tumors has been gradually carried out [ 22 , 23 , 24 , 25 ]. Prognostic models based on cuproptosis characteristics in various tumors are mostly constructed from one aspect, with few integrating clinical features, molecular landscapes, and genetic mutation features to construct models, and there is a lack of validation through molecular biology experiments [ 26 , 27 , 28 , 29 , 30 ]. Research in the field of liver cancer has made rapid progress, with studies constructing prognostic models and verifying that copper death‐related gene LIPT1 may promote the proliferation, invasion, and migration ability of liver cancer cells [ 31 ].…”

Section: Introductionmentioning

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: Introductionmentioning

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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“…Accidental cell death is the death process that is uncontrolled by biology under the stimulation of accidental injury, while regulatory cell death is the death process that is controlled by biological signaling pathways [9]. Regulatory cell death includes apoptosis, pyroptosis, ferroptosis, and cuproptosis, which are involved in the pathogenesis of COAD [10][11][12][13]. Disul dptosis is a novel cell death mechanism distinct from known regulatory cell death, such as apoptosis, pyroptosis, ferroptosis, and cuproptosis [14].…”

Section: Introductionmentioning

confidence: 99%

Disulfidptosis-related lncRNAs predict prognosis and immune response of colon adenocarcinoma

Qian

Lin

et al. 2023

Preprint

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Background Colon adenocarcinoma (COAD) is the most common type of colorectal cancer. Disulfidptosis is a novel method of disulfide-dependent cell death. Previous evidence suggested that targeting disulfidptosis may be a novel therapeutic strategy for cancer therapy. LncRNA also plays a key role in COAD. However, the mechanisms of disulfidptosis-related lncRNAs remain unknown, and the disulfidptosis-related lncRNAs-based signature for COAD remains less studied. Methods The transcriptional profile and clinical information of COAD were downloaded from The Cancer Genome Atlas (TCGA). Disulfidptosis-related gene (DRGs) expression profiles were analyzed. A correlation test, Cox regression analysis, and selection operator (LASSO) method were performed to determine a disulfidptosis -related lncRNA prognostic signature. Survival and predictive performance were analyzed according to Kaplan-Meier and receiver operating characteristic (ROC) curves. Nomograms and calibration curves were established. Gene set enrichment analysis (GSEA) was utilized to analyze the biological function. Tumor Immune Analysis was also employed to analyze the tumor immune microenvironment, immune cell infiltration, and immune function. Additionally, drug sensitivity analysis was employed to predict the sensitivity of antitumor drugs. Results We identified six DRGs as differentially expressed DRGs (DE-DRGs). Six disulfidptosis-related lncRNAs were identified and included in the novel prognostic signature. The Kaplan–Meier, and ROC curves demonstrated that the feature had acceptable predictive validity in the TCGA training, test, and complete sets. The disulfidptosis-related lncRNA model had higher diagnostic efficiency compared to other clinical features. Besides, significant differences in biological functions and pathway activities were observed between the low- and high-risk groups. The study constructed a disulfidptosis-related lncRNA signature for COAD. Additionally, six drugs were sensitive to COAD. Conclusion The six disulfidptosis-related risk profiles for lncRNA may help assess the prognosis and molecular profile of COAD patients and improve treatment options that can be further applied in the clinic.

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Mechanism of metal ion-induced cell death in gastrointestinal cancer

Luan,

Feng,

Zhu

et al. 2024

Biomedicine & Pharmacotherapy

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Identification and Validation of Glycosyltransferases Correlated with Cuproptosis as a Prognostic Model for Colon Adenocarcinoma

Cited by 4 publications

References 40 publications

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

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

Disulfidptosis-related lncRNAs predict prognosis and immune response of colon adenocarcinoma

Mechanism of metal ion-induced cell death in gastrointestinal cancer

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