ArticleBMC medical genomics2011
A network-based biomarker approach for molecular investigation and diagnosis of lung cancer.
Article in BMC medical genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 91 citations in OpenAlex.
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- Data analysis methods for defining biomarkers from omics data.Analytical and bioanalytical chemistry · 2022Review
- Oncological Ligand-Target Binding Systems and Developmental Approaches for Cancer Theranostics.Molecular biotechnology · 2021Review
- PARP6 suppresses the proliferation and metastasis of hepatocellular carcinoma by degrading XRCC6 to regulate the Wnt/β-catenin pathway.American journal of cancer research · 2020Article
- Persistence of smoking induced non-small cell lung carcinogenesis by decreasing ERBB pathway-related microRNA expression.Thoracic cancer · 2019Article
- IID 2018 update: context-specific physical protein-protein interactions in human, model organisms and domesticated species.Nucleic acids research · 2019Article
- Improving cancer detection through combinations of cancer and immune biomarkers: a modelling approach.Journal of translational medicine · 2018Article
- A data-driven, knowledge-based approach to biomarker discovery: application to circulating microRNA markers of colorectal cancer prognosis.NPJ systems biology and applications · 2018Article
- Identification of a gene signature for discriminating metastatic from primary melanoma using a molecular interaction network approach.Scientific reports · 2017Article
- Comparative Network Analysis of Patients with Non-Small Cell Lung Cancer and Smokers for Representing Potential Therapeutic Targets.Scientific reports · 2017Article
- In silico identification of potential key regulatory factors in smoking-induced lung cancer.BMC medical genomics · 2017Article
- Dose and Time Dependencies in Stress Pathway Responses during Chemical Exposure: Novel Insights from Gene Regulatory Networks.Frontiers in genetics · 2017Article
- Network Biomarkers Constructed from Gene Expression and Protein-Protein Interaction Data for Accurate Prediction of Leukemia.Journal of Cancer · 2017Article
- High Expression of XRCC6 Promotes Human Osteosarcoma Cell Proliferation through the β-Catenin/Wnt Signaling Pathway and Is Associated with Poor Prognosis.International journal of molecular sciences · 2016Article
- Temporal Genetic Modifications after Controlled Cortical Impact--Understanding Traumatic Brain Injury through a Systematic Network Approach.International journal of molecular sciences · 2016Article
- Network Biomarkers of Bladder Cancer Based on a Genome-Wide Genetic and Epigenetic Network Derived from Next-Generation Sequencing Data.Disease markers · 2016Article
- Biological Networks for Cancer Candidate Biomarkers Discovery.Cancer informatics · 2016Review
- Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity.BMC bioinformatics · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung cancer is the leading cause of cancer deaths worldwide. Many studies have investigated the carcinogenic process and identified the biomarkers for signature classification. However, based on the research dedicated to this field, there is no highly sensitive network-based method for carcinogenesis characterization and diagnosis from the systems perspective.
methodsIn this study, a systems biology approach integrating microarray gene expression profiles and protein-protein interaction information was proposed to develop a network-based biomarker for molecular investigation into the network mechanism of lung carcinogenesis and diagnosis of lung cancer. The network-based biomarker consists of two protein association networks constructed for cancer samples and non-cancer samples.
resultsBased on the network-based biomarker, a total of 40 significant proteins in lung carcinogenesis were identified with carcinogenesis relevance values (CRVs). In addition, the network-based biomarker, acting as the screening test, proved to be effective in diagnosing smokers with signs of lung cancer.
conclusionsA network-based biomarker using constructed protein association networks is a useful tool to highlight the pathways and mechanisms of the lung carcinogenic process and, more importantly, provides potential therapeutic targets to combat cancer.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.