Construction of Colorectal Cancer Prognostic Model Utilizing Mitochondrial Energy Metabolism-Related Genes DOI Creative Commons

Peng Zhu,

Kai Wang,

Guo Ping Sun

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Май 2, 2024

Abstract The objective of this study was to construct a prognostic model and medicine therapeutic response by utilizing mitochondrial energy metabolism-related genes (MMRGs), thus establishing risk score for colorectal cancer (CRC). Based on the TCGA-CRC GEO data set, MMRGs expression levels were identified clustering analysis. 10 differential used RiskScore Cox regression. GSE 39582 set validation. clinical characteristics,survival characteristics,SNV,CNV,methylation, immune features, potential benefits chemotherapy drugs analyzed two groups. constructed based ACOX1, ATP6V1G2, COX7A1, CPT2, DLAT, ECGS1, ECI2, NDUFA1, PPA2, SUCLG2. Patients in low group exhibited superior overall survival. In addition, Univariate regression analysis Multivariate demonstrated that score, stage lymphatic invasion can serve as independent factors.Trametinib positive correlations between IC50 values levels,which may be more sensitive drugs. Mitochondrial Energy -Related Genes promising biomarker distinguish CRC prognosis, sensitivity

Язык: Английский

A novel disulfidptosis-related lncRNA signature in colorectal cancer for predicting prognosis, tumor immune microenvironment features and drug sensitivity DOI Creative Commons
Yuewen Qi, Wenzheng Zhang, Haowen Qi

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июнь 6, 2024

Abstract Colorectal cancer (CRC) is a common with high mortality rates worldwide. Disulfidptosis an emerging mode of cell death. In this study, disulfidptosis-related lncRNAs were identified by screening and incorporated into prognostic model to predict the prognosis immunotherapy response colorectal (CRC), providing new effective guide for clinical decision making. Transcriptome data CRC patients normal controls obtained from The Cancer Genome Atlas (TCGA). Pearson correlation, Cox least absolute shrinkage selection operator (LASSO) regression analyses used identify lncRNAs. A risk scoring was constructed, its predictive performance comprehensively validated. An accurate nomogram constructed prediction. Model reliability verified via principal component, survival receiver operating characteristic (ROC) curve analyses. GO analysis GSEA cellular pathways relevant model. Immune infiltration studied ESTIMATE CIBERSORT algorithms. association tumor mutational burden (TMB) model-derived scores assessed using single-nucleotide variant data. Finally, tThe value evaluated through GDSC CTRP databases, drugs predicted. containing 9 (ATP2A1-AS1, AC011815.1, AC013652.1, AC109992.2, AC069549.1, AC005034.5, SUCLG2-AS1, AP003555.1 AL590101.1) successfully constructed. There significant difference in between high-risk low-risk groups (based on median score) training validation datasets. score serves as independent factor when combined variables. revealed that group enriched processes epidermis development, kidney differentiation skin development. could stratify two distinct groups. independently predicted poor overall correlated reduced immune infiltration, TMB, decreased activity. checkpoint blockade might improve patients, whereas be more responsive targeted therapy diverse kinase inhibitors. summary, we established lncRNA holds promise reliable marker can also landscape response.

Язык: Английский

Процитировано

0

The role of exosomal lncRNAs in cardiovascular disease: Emerging insights based on molecular mechanisms and therapeutic target level DOI Creative Commons

Liyuan Zhao,

Mengyun Gu,

Zhimin Sun

и другие.

Non-coding RNA Research, Год журнала: 2024, Номер 10, С. 198 - 205

Опубликована: Окт. 10, 2024

Cardiovascular diseases (CVD) are widely recognized as a leading cause of death worldwide; however, early diagnosis and disease progression monitoring play crucial role in their clinical management. The common diagnostic prognostic biomarkers have represented revolutionary tool for studying CVD; applications limited to invasive irreversible heart diseases, such drug-induced myocardial injury. In light this information, growing number studies currently investigating the potential novel CVD biomarkers. Examples long non-coding RNA (lncRNA) other RNAs that specifically expressed at stages disease. These been reported be involved development via activating or inhibiting inflammatory mediators angiogenesis-related factors, well endothelial cell proliferation, migration phenotypic transformation. This review collectively summarizes recent studies' results concerning exosomal lncRNA biogenesis, characterization, function, its biomarker variety CVD.

Язык: Английский

Процитировано

0

The role of super-enhancers in head and neck cancer and its potential therapeutic targets DOI

Chuhuan Zhou,

Gunan Guo,

Qi Li

и другие.

Journal of Stomatology Oral and Maxillofacial Surgery, Год журнала: 2024, Номер unknown, С. 102182 - 102182

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0

SElncRNAs in Cancer: Classification, Subcellular Localisation, Function and Corresponding TFs DOI Creative Commons

Yuxin Bao,

Songling Teng,

Hao Zhai

и другие.

Journal of Cellular and Molecular Medicine, Год журнала: 2024, Номер 28(24)

Опубликована: Дек. 1, 2024

ABSTRACT Emerging evidence highlights certain long noncoding RNAs (lncRNAs) transcribed from or interacting with super‐enhancer (SE) regulatory elements. These lncRNAs, known as SE‐lncRNAs, are strongly linked to cancer and regulate progression through multiple interactions downstream targets. The expression of SE‐lncRNAs is controlled by various transcription factors (TFs), dysregulation these TFs can contribute development. In this review, we discuss the characteristics, classification subcellular distribution summarise role key in regulation SE‐lncRNAs. Moreover, examine distinct functions potential mechanisms progression.

Язык: Английский

Процитировано

0

Construction of Colorectal Cancer Prognostic Model Utilizing Mitochondrial Energy Metabolism-Related Genes DOI Creative Commons

Peng Zhu,

Kai Wang,

Guo Ping Sun

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Май 2, 2024

Abstract The objective of this study was to construct a prognostic model and medicine therapeutic response by utilizing mitochondrial energy metabolism-related genes (MMRGs), thus establishing risk score for colorectal cancer (CRC). Based on the TCGA-CRC GEO data set, MMRGs expression levels were identified clustering analysis. 10 differential used RiskScore Cox regression. GSE 39582 set validation. clinical characteristics,survival characteristics,SNV,CNV,methylation, immune features, potential benefits chemotherapy drugs analyzed two groups. constructed based ACOX1, ATP6V1G2, COX7A1, CPT2, DLAT, ECGS1, ECI2, NDUFA1, PPA2, SUCLG2. Patients in low group exhibited superior overall survival. In addition, Univariate regression analysis Multivariate demonstrated that score, stage lymphatic invasion can serve as independent factors.Trametinib positive correlations between IC50 values levels,which may be more sensitive drugs. Mitochondrial Energy -Related Genes promising biomarker distinguish CRC prognosis, sensitivity

Язык: Английский

Процитировано

0