A five-cuproptosis-related LncRNA Signature: predicting prognosis, assessing immune function & drug sensitivity in lung squamous cell carcinoma DOI Creative Commons

Hongtao Zhao,

Lei Wu, Qinyuan Liao

et al.

Journal of Cancer, Journal Year: 2023, Volume and Issue: 14(9), P. 1499 - 1514

Published: Jan. 1, 2023

Lung squamous cell carcinoma has so far lacked effective targets for diagnosis and treatment. In cancer research, long noncoding RNAs (LncRNAs) emerge as novel therapeutic biomarkers. Cuprophosis is a new death type involving multiple biological processes in tumor cells. Here, we aimed to explore whether Cuprophosis-related lncRNAs could be used predict prognosis, assess immune function, test drug sensitivity LUSC patients. The Cancer Genome Map (TCGA) was obtain genome clinical data, Cuprophosis-relevant genes were found the literature. A cuproptosis-related lncRNA risk model built using co-expression analysis, univariate/multivariate Cox regression, LASSO analysis. survival analysis model's prognostic value. univariate multivariate regression analyses performed determine score, age, gender, or stages independent factors. Gene Set Enrichment Analysis mutation on differentially expressed mRNA between high-risk low-risk groups. (TIDE) algorithm conduct immunological functional testing. Five LncRNAs identified, selected constructed prognosis model. According Kaplan-Meier overall time patients group shorter than those group. For patients, score serves an indicator. GO KEGG enrichment revealed that mRNAs high- groups enriched several immune-related processes. of higher function pathways, including IFN-γ MHC I pathways. Tumor Immune Dysfunction Exclusion more likely experience escape. showed with ratings respond GW441756 Salubrinal. contrast, scores responsive dasatinib Z-LLNIe CHO. 5-Cuprophosis-related signature can

Language: Английский

A Prognostic Cuproptosis-Related LncRNA Signature for Colon Adenocarcinoma DOI Creative Commons
Like Zhong, Junfeng Zhu, Qi Shu

et al.

Journal of Oncology, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 18

Published: Feb. 17, 2023

Background. Cuproptosis, a recently discovered form of cell death, is caused by copper levels exceeding homeostasis thresholds. Although Cu has potential role in colon adenocarcinoma (COAD), its the development COAD remains unclear. Methods. In this study, 426 patients with were extracted from Cancer Genome Atlas (TCGA) database. The Pearson correlation algorithm was used to identify cuproptosis-related lncRNAs. Using univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) select lncRNAs associated overall survival (OS). A risk model established based on multivariate analysis. nomogram evaluate prognostic signature model. Finally, mutational burden sensitivity analyses chemotherapy drugs performed for low- high-risk groups. Result. Ten identified novel constructed. ten an independent predictor COAD. Mutational analysis suggested that scores had higher mutation frequency shorter survival. Conclusion. Constructing could accurately predict prognosis patients, providing fresh perspective future research

Language: Английский

Citations

5
The Cuproptosis-Related Long Noncoding RNA Signature Predicts Prognosis and Immune Cell Infiltration in Hepatocellular Carcinoma DOI Creative Commons
Ying Li, Kaichao Song, Wensheng Zheng

et al.

Journal of Oncology, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 22

Published: Feb. 27, 2023

Background. Hepatocellular carcinoma (HCC), ranking as one of the most common malignant tumors, is leading causes cancer death, with a poor prognosis. Cuproptosis, novel programmed cell death modality that has just been confirmed recently, may play an important role in HCC Long noncoding RNA (LncRNA) key participant tumorigenesis and immune responses. It be great significance to predict based on cuproptosis genes their related LncRNA. Methods. The sample data patients were obtained from Cancer Genome Atlas (TCGA) database. Combined cuproptosis-related collected literature search, expression analysis was carried out find LncRNAs significantly expressed HCC. prognostic model constructed by least absolute shrinkage selection operator (LASSO) regression multivariate Cox regression. feasibility these signature used for evaluation overall survival rate independent factors investigated. profile cuproptosis, infiltration, status somatic mutation analyzed compared. Results. A consisting seven gene-related LncRNA signatures constructed. Multiple verification methods have showed this can accurately prognosis patients. classified high-risk group under risk score had worse status, more significant function, higher frequency. During analysis, gene CDKN2A found closely DDX11-AS1 Conclusion. identified, basis which constructed, it verified potential new targets disease therapy antagonizing development discussed.

Language: Английский

Citations

5
Peptide fractions from Sacha inchi induced apoptosis in HepG2 cells via P53 activation and a mitochondria‐mediated pathway DOI Open Access

Zhilin He,

Jin‐Ming Lin,

Dong Peng

et al.

Journal of the Science of Food and Agriculture, Journal Year: 2023, Volume and Issue: 103(15), P. 7621 - 7630

Published: July 27, 2023

Sacha inchi is known for its high protein content and medicinal properties. Bioactive peptides have been reported to therapeutic potential in various human diseases. However, there a lack of research evaluating the pharmacological value derived from inchi. Therefore, this study aimed investigate anti-hepatoma effect (SPs) their underlying mechanism.The found that treatment with SPs significantly reduced proliferation HepG2 cells by inducing apoptosis arresting cell cycle at G0/G1 phase. also induced increasing levels proteins such as Bax, Caspase-3 P53. The identified nine novel SPs, which LLEPDVR, ALVEKAKAS TGDGSLRPY exhibited higher proliferative inhibition rates compared other peptides.The findings suggest effects liver cancer. effectively suppress facilitate apoptosis, indicating effect. may cancer treatment. © 2023 Society Chemical Industry.

Language: Английский

Citations

5
Identification of a novel prognostic cuproptosis-associated LncRNA signature for predicting prognosis and immunotherapy response in patients with esophageal cancer DOI Creative Commons

Xinhai Sun,

Liming Li, Xiaojie Yang

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e30277 - e30277

Published: April 26, 2024

Nowadays, effective prognostic models for esophageal cancer (ESCA) are still lacking. Long noncoding RNAs (lncRNAs) commonly utilized as indicators diagnosing and forecasting patient outcomes. Cuproptosis is regulated by multiple genes crucial to the progression of ESCA. However, it not yet clear what role cuproptosis-associated lncRNAs (CuALs) play in To tackle this problem, a signature incorporating three CuALs was created. This constructed use least absolute shrinkage selection operator (LASSO) multivariate Cox regression. Subsequently, effectively stratified ESCA samples into high-risk group low-risk group. Those demonstrated extended overall survival (OS), well increased infiltration T cells, macrophages, NK suggesting potentially enhanced response immunotherapy. The ROC curve analysis that outperformed conventional clinical factors predicting prognosis (AUC = 0.708). K-M correlation identified UGDH-AS1 (a CuAL) protective factor positively associated with prognosis. results RT-qPCR wound healing assays indicated overexpressed could inhibit cell migration. In general, robust capability immune environment prognosis, highlighting its potential tool enhancing personalized treatment strategies

Language: Английский

Citations

1
A five-cuproptosis-related LncRNA Signature: predicting prognosis, assessing immune function & drug sensitivity in lung squamous cell carcinoma DOI Creative Commons

Hongtao Zhao,

Lei Wu, Qinyuan Liao

et al.

Journal of Cancer, Journal Year: 2023, Volume and Issue: 14(9), P. 1499 - 1514

Published: Jan. 1, 2023

Lung squamous cell carcinoma has so far lacked effective targets for diagnosis and treatment. In cancer research, long noncoding RNAs (LncRNAs) emerge as novel therapeutic biomarkers. Cuprophosis is a new death type involving multiple biological processes in tumor cells. Here, we aimed to explore whether Cuprophosis-related lncRNAs could be used predict prognosis, assess immune function, test drug sensitivity LUSC patients. The Cancer Genome Map (TCGA) was obtain genome clinical data, Cuprophosis-relevant genes were found the literature. A cuproptosis-related lncRNA risk model built using co-expression analysis, univariate/multivariate Cox regression, LASSO analysis. survival analysis model's prognostic value. univariate multivariate regression analyses performed determine score, age, gender, or stages independent factors. Gene Set Enrichment Analysis mutation on differentially expressed mRNA between high-risk low-risk groups. (TIDE) algorithm conduct immunological functional testing. Five LncRNAs identified, selected constructed prognosis model. According Kaplan-Meier overall time patients group shorter than those group. For patients, score serves an indicator. GO KEGG enrichment revealed that mRNAs high- groups enriched several immune-related processes. of higher function pathways, including IFN-γ MHC I pathways. Tumor Immune Dysfunction Exclusion more likely experience escape. showed with ratings respond GW441756 Salubrinal. contrast, scores responsive dasatinib Z-LLNIe CHO. 5-Cuprophosis-related signature can

Language: Английский

Citations

2