MicroRNA expression profile and TNM staging system predict survival in patients with lung adenocarcinoma

Autor: Pintian Lv, Yitao Jia, Wujie Zhao, Gang Qiu, Baoshuan Fang, Yaxing Li, Xiaoci Cao, Bin Wang, Guohong Xin
Rok vydání: 2020
Předmět:
Oncology
medicine.medical_specialty
bioinformatics analysis
Lung Neoplasms
Bioinformatics analysis
microrna
Adenocarcinoma of Lung
02 engineering and technology
TNM staging system
survival
Internal medicine
0502 economics and business
microRNA
0202 electrical engineering
electronic engineering
information engineering
medicine
QA1-939
Biomarkers
Tumor
Humans
In patient
Neoplasm Staging
Lung
business.industry
Applied Mathematics
05 social sciences
General Medicine
MicroRNA Expression Profile
Nomogram
medicine.disease
lung adenocarcinoma
body regions
Survival Rate
Computational Mathematics
MicroRNAs
medicine.anatomical_structure
Modeling and Simulation
embryonic structures
Adenocarcinoma
020201 artificial intelligence & image processing
General Agricultural and Biological Sciences
business
050203 business & management
TP248.13-248.65
Mathematics
Biotechnology
Zdroj: Mathematical Biosciences and Engineering, Vol 17, Iss 6, Pp 8074-8083 (2020)
ISSN: 1551-0018
Popis: ObjectThe current study was performed to construct a model with microRNA (miRNA/miR) expression profile and TNM staging system for prognosis predicting in patients with lung adenocarcinoma (LUAD). MethodsDifferentially expressed miRNAs were identified from miRNA data of LUAD in The Cancer Genome Atlas (TCGA) database. Potential prognostic miRNAs and TNM classification parameters, screened out by Cox proportional hazards regression analysis, were included in the prognostic model. The prognostic model was visualized with a nomogram, and tested by calculating the C-index and drawing the calibration curve in the training set and validating set, respectively. Finally, the prognostic miRNAs were analyzed with bioinformatics tools. ResultsA total of 194 differentially expressed miRNAs were identified between LUAD tissues and matched normal tissues, including 99 up-regulated and 95 down-regulated miRNAs. miRNA index (miR.index), constructed with nine miRNAs (hsa-let-7i, hsa-mir-1976, hsa-mir-199a-1, hsa-mir-31, hsa-mir-3940, hsa-mir-450a-2, hsa-mir-4677, hsa-mir-548v and hsa-mir-6803), was an independent prognostic indicator for the survival of patients with LUAD. Bioinformatics analysis suggests that the selected miRNAs are involved in the development and progress of LUAD. ConclusionThe prognostic model constructed with nine miRNA expression profile and TNM classification parameters can predict the survival in patients with LUAD, and the predictive power of the model are warranted for further validations.
Databáze: OpenAIRE
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