ArticlePloS one2020
Transcriptome analysis reveals gender-specific differences in overall metabolic response of male and female patients in lung adenocarcinoma.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Real world genomic profiling in non-small cell lung cancer reveals regional variations with clinical implications.Frontiers in oncology · 2026Article
- Multi-omics protein signaling networks identify sex-specific therapeutic candidates in lung adenocarcinoma.Biology of sex differences · 2025Article
- Sphingolipid metabolism dysregulation: A cause for lung cancer development, progression, and resistance to therapies.Chinese medical journal pulmonary and critical care medicine · 2025Review
- The Selective in vitro Cytotoxicity ofInternational journal of nanomedicine · 2025Article
- Article
- A radiomics nomogram prediction for survival of patients with "driver gene-negative" lung adenocarcinomas (LUAD).La Radiologia medica · 2023Article
- Multi-Omics Integrative Analysis of Lung Adenocarcinoma: AnFrontiers in medicine · 2022Article
- Review
- The Diverse Roles of TAO Kinases in Health and Diseases.International journal of molecular sciences · 2020Review
- Genome-Wide Sex and Gender Differences in Cancer.Frontiers in oncology · 2020Review
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvidence from multiple studies suggests metabolic abnormalities play an important role in lung cancer. Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer. The present study aimed to explore differences in the global metabolic response between male and female patients in LUAD and to identify the metabolic genes associated with lung cancer susceptibility.
methodsTranscriptome and clinical LUAD data were acquired from The Cancer Genome Atlas (TCGA) database. Information on metabolic genes and metabolic subsystems were collected from the Recon3D human metabolic model. Two validation datasets (GSE68465 and GSE72094) were downloaded from the Gene Expression Omnibus (GEO) database. Differential expression analysis, gene set enrichment analysis and protein-protein interaction networks were used to identified key metabolic pathways and genes. Functional experiments were used to verify the effects of genes on proliferation, migration, and invasion in lung cancer cells in vitro.
resultsSamples of tumors and adjacent non-tumor tissue from both male and female patients exhibited distinct global patterns of gene expression. In addition, we found large differences in methionine and cysteine metabolism, pyruvate metabolism, cholesterol metabolism, nicotinamide adenine dinucleotide (NAD) metabolism, and nuclear transport between male and female LUAD patients. We identified 34 metabolic genes associated with lung cancer susceptibility in males and 15 in females. Most of the metabolic cancer-susceptibility genes had high prediction accuracy for lung cancer (AUC > 0.9). Furthermore, both bioinformatics analysis and experimental results showed that TAOK2 was down-regulated and ASAH1 was up-regulated in male tumor tissue and female tumor tissue in LUAD. Functional experiments showed that inhibiting ASAH1 suppressed the proliferation, migration, and invasion of lung cancer cells.
conclusionsMetabolic cancer-susceptibility genes may be used alone or in combination as diagnostic markers for LUAD. Further studies are required to elucidate the functions of these genes in LUAD.
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