ArticleThe European respiratory journal2018
Multi-omic molecular profiling of lung cancer in COPD.
Article in The European respiratory journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 32 citations in OpenAlex.
- Integrative Analysis of Multimodal Omics Data.Annual review of statistics and its application · 2026Article
- Construction of a novel tool for predicting chronic obstructive pulmonary disease mortality in lung cancer patients.Scientific reports · 2025Article
- Exploring the protective role of maternal lung cancer history on allergic rhinitis.Journal of clinical biochemistry and nutrition · 2025Article
- A model-free and distribution-free multi-omics integration approach for detecting novel lung adenocarcinoma genes.Scientific reports · 2024Article
- Prognostic Performance of Hematological and Serum Iron and Metabolite Indices for Detection of Early Iron Deficiency Induced Metabolic Brain Dysfunction in Infant Rhesus Monkeys.The Journal of nutrition · 2024Article
- Extensive acute and sustained changes to neutrophil proteomes post-SARS-CoV-2 infection.The European respiratory journal · 2024Observational
- Intranasal insulin treatment partially corrects the altered gene expression profile in the hippocampus of developing rats with perinatal iron deficiency.American journal of physiology. Regulatory, integrative and comparative physiology · 2023Article
- Multiomic Investigations into Lung Health and Disease.Microorganisms · 2023Review
- Quantitative proteomics identifies tumour matrisome signatures in patients with non-small cell lung cancer.Frontiers in oncology · 2023Article
- Identification of cancer risk assessment signature in patients with chronic obstructive pulmonary disease and exploration of the potential key genes.Annals of medicine · 2022Article
- Tandem mass tag proteomic and untargeted metabolomic profiling reveals altered serum and CSF biochemical datasets in iron deficient monkeys.Data in brief · 2022Article
- sJIVE: Supervised Joint and Individual Variation Explained.Computational statistics & data analysis · 2022Article
- Recent evidence from omic analysis for redox signalling and mitochondrial oxidative stress in COPD.Journal of inflammation (London, England) · 2022Review
- Article
- Multiomic profiling of iron-deficient infant monkeys reveals alterations in neurologically important biochemicals in serum and cerebrospinal fluid before the onset of anemia.American journal of physiology. Regulatory, integrative and comparative physiology · 2022Article
- Molecular and Clinicopathological Characteristics of Lung Cancer Concomitant Chronic Obstructive Pulmonary Disease (COPD).International journal of chronic obstructive pulmonary disease · 2022Article
- SFPQ Promotes Lung Cancer MalignancyFrontiers in oncology · 2022Article
- Interpretive JIVE: Connections with CCA and an application to brain connectivity.Frontiers in neuroscience · 2022Article
- Study on Chronic Obstructive Pulmonary Disease and Lung Cancer: Web of Science-Based Bibliometric and Visual Analysis.International journal of general medicine · 2022Article
- Multiple microarray analyses identify key genes associated with the development of Non-Small Cell Lung Cancer from Chronic Obstructive Pulmonary Disease.Journal of Cancer · 2021Article
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Authors and funding
13 authors at 5 institutions in 1 country.
Funding
Abstract
Chronic obstructive pulmonary disease (COPD) is a known risk factor for developing lung cancer but the underlying mechanisms remain unknown. We hypothesise that the COPD stroma contains molecular mechanisms supporting tumourigenesis.We conducted an unbiased multi-omic analysis to identify gene expression patterns that distinguish COPD stroma in patients with or without lung cancer. We obtained lung tissue from patients with COPD and lung cancer (tumour and adjacent non-malignant tissue) and those with COPD without lung cancer for profiling of proteomic and mRNA (both cytoplasmic and polyribosomal). We used the Joint and Individual Variation Explained (JIVE) method to integrate and analyse across the three datasets.JIVE identified eight latent patterns that robustly distinguished and separated the three groups of tissue samples (tumour, adjacent and control). Predictive variables that associated with the tumour, compared to adjacent stroma, were mainly represented in the transcriptomic data, whereas predictive variables associated with adjacent tissue, compared to controls, were represented at the translatomic level. Pathway analysis revealed extracellular matrix and phosphatidylinositol-4,5-bisphosphate 3-kinase-protein kinase B signalling pathways as important signals in the tumour adjacent stroma.The multi-omic approach distinguishes tumour adjacent stroma in lung cancer and reveals two stromal expression patterns associated with cancer.
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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.