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Lung adenocarcinoma (LUAD) is a heterogeneous disease with poor survival in the advanced stage and a high incidence rate in the world. Novel drug targets are urgently required to improve patient treatment. Therefore, we aimed to identify therapeutic targets for LUAD based on protein-protein and protein-drug interaction network analysis with neural network algorithms using mRNA expression profiles.
This article was published in the following journal.
Name: Journal of biomedical informatics
Aldo-keto reductases (AKRs) modify carbonyl groups on aldehyde or ketones to form primary or secondary alcohols, which are then conjugated with sulfates or glucuronide for excretion. The AKR1B10 gene ...
We identified and investigated the prognostic value of secreted phosphoprotein 1 (SPP1) in lung adenocarcinoma (LUAD) patients and evaluate the relationship between the SPP1 expression level and clini...
Prognostic biomarkers are needed in clinical setting to predict outcome after resection for early-stage lung adenocarcinoma. The goal of this study is to validate tumor-based single-gene expression bi...
Accumulating evidence has shown that long non-coding RNAs (lncRNAs) had malfunctioning roles in the development of human cancers, especially lung adenocarcinoma (LC). In the present study, we aimed to...
Recent evidence indicates that long noncoding RNAs (lncRNAs) play a critical role in the regulating cellular processes such as differentiation, proliferation, metastasis and apoptosis. These lncRNAs a...
In recent years, the development of lung cancer has been improved from pathological level to the molecular level. Research showed that there are many gene mutations in non-small cell lung ...
Detect the contents of glucose metabolism molecules in the tumor and adjacent normal samples of about 100 patients with lung adenocarcinoma using mass spectroscopy. Analyze the correlation...
To gather preliminary safety and outcome data for the multimodality treatment of lung adenocarcinoma in the setting of multifocal BAC.
Lung adenocarcinoma with inactive LKB1 has emerged as a particularly aggressive form of lung cancer, with poor response to immune checkpoint inhibitors. Recent preclinical evidences have d...
Candidate markers have been identified thanks to an original approach developed by our research team aiming at detecting ectopic gene expression using public pan-genomic breast cancer data...
A lesion with cytological characteristics associated with invasive adenocarcinoma but the tumor cells are confined to the GLANDULAR EPITHELIAL CELLS of origin. Adenocarcinoma in situ of the CERVIX and the LUNG are the most common.
A heterogeneous aggregate of at least three distinct histological types of lung cancer, including SQUAMOUS CELL CARCINOMA; ADENOCARCINOMA; and LARGE CELL CARCINOMA. They are dealt with collectively because of their shared treatment strategy.
An adenocarcinoma producing mucin in significant amounts. (From Dorland, 27th ed)
An adenocarcinoma of the thyroid gland, in which the cells are arranged in the form of follicles. (From Dorland, 27th ed)
An adenocarcinoma with a hard (Greek skirrhos, hard) structure owing to the formation of dense connective tissue in the stroma. (From Dorland, 27th ed)
Bioinformatics is the application of computer software and hardware to the management of biological data to create useful information. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied...
Pulmonary relating to or associated with the lungs eg Asthma, chronic bronchitis, emphysema, COPD, Cystic Fibrosis, Influenza, Lung Cancer, Pneumonia, Pulmonary Arterial Hypertension, Sleep Disorders etc Follow and track Lung Cancer News ...
The process of gene expression is used by eukaryotes, prokaryotes, and viruses to generate the macromolecular machinery for life. Steps in the gene expression process may be modulated, including the transcription, RNA splicing, translation, and post-tran...