ArticleCancers2019
Molecular Signature of Subtypes of Non-Small-Cell Lung Cancer by Large-Scale Transcriptional Profiling: Identification of Key Modules and Genes by Weighted Gene Co-Expression Network Analysis (WGCNA).
Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 1 of them a synthesis that pooled it.
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Who cites it
169 citing papers in PubMed, 1 synthesis or guideline pooled it, 295 citations in OpenAlex.
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- Identification of T cell stress response state (TScientific reports · 2025Article
- Role of nitric oxide, prostaglandins, thromboxanes and endothelins in lung cancer: An overview.World journal of clinical cases · 2025Review
- Molecular inflammatory expression profiles associated with the frequency of pain in individuals with sickle cell disease.Blood advances · 2025Article
- Increased mortality in lung cancer patients with same-lobe, multi-lobe, or mixed nodules: a retrospective study of 166,097 participants from the SEER database.Journal of thoracic disease · 2025Article
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- Analysis of the pharmacological mechanisms of Xiaoyao pill in breast cancer treatment.Annals of medicine and surgery (2012) · 2025Article
- A probabilistic modeling framework for genomic networks incorporating sample heterogeneity.Cell reports methods · 2025Article
- Machine Learning-Based Radiomics Analysis for Identifying KRAS Mutations in Non-Small-Cell Lung Cancer from CT Images: Challenges, Insights and Implications.Life (Basel, Switzerland) · 2025Article
- Acute aerobic exercise alters serum protein distribution in colorectal cancer patients.Frontiers in oncology · 2025Article
- Dynamic molecular regulation of salt stress responses in maize (Frontiers in plant science · 2025Article
109 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Non-small-cell lung cancer (NSCLC) represents a heterogeneous group of malignancies consisting essentially of adenocarcinoma (ADC) and squamous cell carcinoma (SCC). Although the diagnosis and treatment of ADC and SCC have been greatly improved in recent decades, there is still an urgent need to identify accurate transcriptome profile associated with the histological subtypes of NSCLC. The present study aims to identify the key dysregulated pathways and genes involved in the development of lung ADC and SCC and to relate them with the clinical traits. The transcriptional changes between tumour and normal lung tissues were investigated by RNA-seq. Gene ontology (GO), canonical pathways analysis with the prediction of upstream regulators, and weighted gene co-expression network analysis (WGCNA) to identify co-expressed modules and hub genes were used to explore the biological functions of the identified dysregulated genes. It was indicated that specific gene signatures differed significantly between ADC and SCC related to the distinct pathways. Of identified modules, four and two modules were the most related to clinical features in ADC and SCC, respectively.
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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.