A risk model based on lncRNA-miRNA-mRNA gene signature for predicting prognosis of patients with bladder cancer DOI Creative Commons

Zhi Yi Zhao,

Yin Cao, Hongliang Wang

et al.

Cancer Biomarkers, Journal Year: 2024, Volume and Issue: 39(4), P. 277 - 287

Published: Feb. 2, 2024

OBJECTIVES: We aimed to analyze lncRNAs, miRNAs, and mRNA expression profiles of bladder cancer (BC) patients, thereby establishing a gene signature-based risk model for predicting prognosis patients with BC. METHODS: downloaded the data miRNAs from The Cancer Genome Atlas (TCGA) as training cohort including 19 healthy control samples 401 BC samples. differentially expressed RNAs (DERs) were screened using limma package, competing endogenous (ceRNA) regulatory network was constructed visualized by cytoscape. Candidate DERs construct score nomogram overall survival (OS) time patients. prognostic value verified validation in GSE13507. RESULTS: Based on 13 selected. L1–penalized algorithm, classified into two groups: high-risk group (including 201 ) low 200 patients). group’s OS ( hazard ratio [HR], 2.160; 95% CI, 1.586 2.942; [Formula: see text] 5.678e-07) poorer than that low-risk groups’ (HR, 1.675; 1.037 2.713; 3.393 e-02) cohort. area under curve (AUC) datasets 0.852. Younger (age 60 years) had an improved advanced age (HR 1.033, CI 1.017 1.049; 2.544E-05). built predictive based TCGA nomograms, clinicopathological factors such age, recurrence rate, score. CONCLUSIONS: patterns could well predict

Language: Английский

From diagnosis to therapy: The transformative role of lncRNAs in eye cancer management DOI
Ali Hazazi,

Abdulmajid A. AlShehah,

Farhan R. Khan

et al.

Pathology - Research and Practice, Journal Year: 2024, Volume and Issue: 254, P. 155081 - 155081

Published: Jan. 3, 2024

Language: Английский

Citations

4
Comprehensive analysis of autophagy related long non-coding RNAs in prognosis, immunity, and treatment of muscular invasive bladder cancer DOI Creative Commons
Wei Keith Tan, Ye Yuan, Hao Huang

et al.

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: July 4, 2022

To predict disease outcome in muscle-invasive bladder cancer (MIBC), we constructed a prognostic autophagy-related (PAR) lncRNA signature. Comprehensive bioinformatics analyses were performed using data from TCGA and GTEx databases. Univariate Cox, least absolute shrinkage selection operator regression also performed, based on differentially expressed genes, to identify PAR-related lncRNAs establish the Furthermore, Kaplan-Meier OS curve receiver operating characteristic nomogram was constructed, all of which together confirmed strong predictive ability Patients with MIBC then divided into high- low-risk groups. Gene enrichment immune infiltration revealed potential mechanisms MIBC. We further evaluated signature molecules related checkpoints sensitivity toward chemotherapeutic agents antitumor-targeted drugs find better treatment prescriptions. identified number signatures, including HCP5, AC024060.1, NEAT1, AC105942.1, XIST, MAFG-DT, NR2F1-AS1, could be valuable tools develop more efficient, individualized drug therapies for patients.

Language: Английский

Citations

14
Targeting Long Non-Coding RNA TTN-AS1 Suppresses Bladder Cancer Progression DOI Creative Commons
Huiyuan Xiao, Wen Huang, Yanlei Li

et al.

Frontiers in Genetics, Journal Year: 2021, Volume and Issue: 12

Published: Oct. 4, 2021

Background: To explore the biological and clinical effects of titin-antisense RNA1 (TTN-AS1) in bladder cancer (BC) association between TTN-AS1 activating transcription factor 2 (ATF2) BC. Methods: The Kaplan–Meier method was performed to analyze expression prognosis BC patients from TCGA data set our institution. Quantitative real-time PCR (RT-PCR) conducted who underwent TURBT Re-TURBT. MTT, colony formation, tumor formation assays were evaluate effect on ability proliferation cell lines. Transwell assay invasion Bioinfomatics immunohistochemical staining used identify relationship ATF2. Results: higher related poorer disease-free survival (DFS) with Re-TURBT compared TURBT. Knocking down resulted inhibiting cells. ATF2 may serve as a downstream target BC, high is also adverse DFS. Conclusion: Our study reveals that serves an oncogene by findings suggest act novel therapeutic for

Language: Английский

Citations

7
Anticancer Drug Development: Evaluative Architecture DOI
Da-Yong Lu, Bin Xu,

Ting-Ren Lu

et al.

Letters in Drug Design & Discovery, Journal Year: 2022, Volume and Issue: 21(5), P. 836 - 846

Published: June 13, 2022

Abstract: Anticancer drug development is complex and multi-factorial, demanding robust evaluative architecture in experimental preclinical studies. To increase the number of licensing, biochemical, pharmacological, technical economic changes (balance integration) systems should be focused labs throughout world. Despite great progress, treatment breakthroughs industry need new ideas more competitive technology (new generation vitro test systems). Overall, comprise anticancer (medicinal chemistry pharmacology) from initial screening to clinical validity. Its advances greatly impact outcomes production (rates final licensing efficacy therapeutics clinic). In this regard, creative techniques will change norm convention mechanic exploration future. This article provides multi-disciplinary approaches for evaluations, selections combinations (chemistry biomedicine). Future trends are especially highlighted in-depth, multilateral multidisciplinary approaches.

Language: Английский

Citations

3
A review on the role of NR2F1-AS1 in the development of cancer DOI Creative Commons
Soudeh Ghafouri‐Fard,

Tayyebeh Khoshbakht,

Bashdar Mahmud Hussen

et al.

Pathology - Research and Practice, Journal Year: 2022, Volume and Issue: 240, P. 154210 - 154210

Published: Nov. 9, 2022

NR2F1-AS1 is a natural antisense transcript with prominent roles in the carcinogenesis. It acts as an oncogene almost all types of cancers except for cervical and colorectal cancers. can act molecular sponge miR-17, miR-371a-3p, miR-363, miR-29a-3p, miR-493-5p, miR-190a, miR-140, miR-642a, miR-483-3p, miR-485-5p, miR-146a-5p, miR-877-5p, miR-338-3 P miR-423-5p to influence expression several cancer-related genes. Thus, sponging role most appreciated route its contribution In addition, affects activity IGF-1/IGF-1R/ERK, PI3K/AKT/GSK-3β Hedgehog pathways. The current narrative review aims at summarization results studies that highlighted

Language: Английский

Citations

3
A risk model based on lncRNA-miRNA-mRNA gene signature for predicting prognosis of patients with bladder cancer DOI Creative Commons

Zhi Yi Zhao,

Yin Cao, Hongliang Wang

et al.

Cancer Biomarkers, Journal Year: 2024, Volume and Issue: 39(4), P. 277 - 287

Published: Feb. 2, 2024

OBJECTIVES: We aimed to analyze lncRNAs, miRNAs, and mRNA expression profiles of bladder cancer (BC) patients, thereby establishing a gene signature-based risk model for predicting prognosis patients with BC. METHODS: downloaded the data miRNAs from The Cancer Genome Atlas (TCGA) as training cohort including 19 healthy control samples 401 BC samples. differentially expressed RNAs (DERs) were screened using limma package, competing endogenous (ceRNA) regulatory network was constructed visualized by cytoscape. Candidate DERs construct score nomogram overall survival (OS) time patients. prognostic value verified validation in GSE13507. RESULTS: Based on 13 selected. L1–penalized algorithm, classified into two groups: high-risk group (including 201 ) low 200 patients). group’s OS ( hazard ratio [HR], 2.160; 95% CI, 1.586 2.942; [Formula: see text] 5.678e-07) poorer than that low-risk groups’ (HR, 1.675; 1.037 2.713; 3.393 e-02) cohort. area under curve (AUC) datasets 0.852. Younger (age 60 years) had an improved advanced age (HR 1.033, CI 1.017 1.049; 2.544E-05). built predictive based TCGA nomograms, clinicopathological factors such age, recurrence rate, score. CONCLUSIONS: patterns could well predict

Language: Английский

Citations

0