Cholangiocarcinoma (CCA) is an epithelial cancer and has high death and recurrence rates, current methods cannot satisfy the need for predicting cancer relapse effectively. So, we aimed at conducting a multi-mRNA signature to improve the relapse prediction of CCA. We analyzed mRNA expression profiling in large CCA cohorts from the Gene Expression Omnibus (GEO) database (GSE76297, GSE32879, GSE26566, GSE31370, and GSE45001) and The Cancer Genome Atlas (TCGA) database. The Least absolute shrinkage and selection operator (LASSO) regression model was used to establish a 7-mRNA-based signature that was significantly related to the recurrence-free survival (RFS) in two test series. Based on the 7-mRNA signature, the cohort TCGA patients could be divided into high-risk or low-risk subgroups with significantly different RFS [p < 0.001, hazard ratio (HR): 48.886, 95% confidence interval (CI): 6.226-3.837E+02]. Simultaneously, the prognostic value of the 7-mRNA signature was confirmed in clinical samples of Ren Ji hospital (p < 0.001, HR: 4.558, 95% CI: 1.829-11.357). Further analysis including multivariable and sub-group analyses revealed that the 7-mRNA signature was an independent prognostic value for recurrence of patients with CCA. In conclusion, our results might provide an efficient tool for relapse prediction and were beneficial to individualized management for CCA patients.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019144 | PMC |
| http://dx.doi.org/10.7150/ijbs.38846 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Machine-learning-based classification of diffuse large B-cell lymphoma patients by a 7-mRNA signature enriched with immune infiltration and cell cycle.
Clin Transl Oncol
April 2024
Department of Breast Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
Background: Diffuse large B-cell lymphoma (DLBCL) exhibits remarkable heterogeneity but still remains undiagnosed in identifying the subpopulation of DLBCL to predict the prognosis and guide clinical treatment.
Methods: Molecular subgroups were identified in gene expression data from GSE10846 by a consensus clustering algorithm. And gene set enrichment analysis, immune infiltration, and the proposed cell cycle algorithm were applied to explore the biological functions of different subtypes.
The early-stage triple-negative breast cancer landscape derives a novel prognostic signature and therapeutic target.
Breast Cancer Res Treat
June 2022
Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, People's Republic of China.
Article Synopsis
- This study focuses on creating a prognostic signature for early-stage triple-negative breast cancer (TNBC) patients to better assess their risk of distant recurrence.
- Researchers analyzed RNA-sequencing data from 189 TNBC patients and identified a set of 21 mRNAs linked to survival, from which they developed a 7-mRNA signature that proved effective in predicting recurrence risk.
- The signature includes mRNAs that not only predict outcomes but also highlight potential new targets for therapy, making it a useful tool for personalized treatment strategies in early-stage TNBC patients.
A new 7-gene survival score assay for pancreatic cancer patient prognosis prediction.
Am J Cancer Res
February 2021
Department of Abdominal Oncology, The Cancer Center of The Fifth Affiliated Hospital, Sun Yat-sen University Zhuhai 519000, Guangdong Province, China.
Gene expression features that are valuable for pancreatic ductal adenocarcinoma (PDAC) prognosis are still largely unknown. We aimed to explore pivotal molecular signatures for PDAC progression and establish an efficient survival score to predict PDAC prognosis. Overall, 163 overlapping genes were identified from three statistical methods, including differentially expressed genes (DEGs), coexpression network analysis (WGCNA), and target genes for miRNAs that were significantly related to PDAC patients' overall survival (OS).
View Article and Find Full Text PDFIdentification of a 7-mRNA signature as a prognostic biomarker in pediatric osteosarcoma.
Transl Cancer Res
November 2020
Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, China.
Background: The aim of the present study was to establish a prognostic model for the survival of children with osteosarcoma (OS).
Methods: The mRNA expression and clinical characteristics of pediatric patients with OS were extracted from the Therapeutically Available Research to Generate Effective Treatments (TARGET) database. After genes with differential mRNA expression were identified, univariate and multivariate Cox analyses were performed, and a prognostic model of pediatric OS was established.
Identification of a Recurrence Signature and Validation of Cell Infiltration Level of Thyroid Cancer Microenvironment.
Front Endocrinol (Lausanne)
May 2021
Department of Otorhinolaryngology, Head & Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Though many patients with thyroid cancer may be indolent, there are still about 50% lymph node metastases and 20% the recurrence rates. There is still no ideal method to predict its relapse. In this study, we analyzed the gene transcriptome profiles of eight Gene Expression Omnibus (GEO), and next screened 77 commonly differential expressed genes.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!