ArticleThe Journal of international medical research2020
Weighted gene expression profiles identify diagnostic and prognostic genes for lung adenocarcinoma and squamous cell carcinoma.
Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Roles of PEG10 in cancer and neurodegenerative disorder (Review).Oncology reports · 2025Review
- Six-Gene Signature for Differential Diagnosis and Therapeutic Decisions in Non-Small-Cell Lung Cancer-A Validation Study.International journal of molecular sciences · 2024Article
- Glycoproteomics revealed novel N-glycosylation biomarkers for early diagnosis of lung adenocarcinoma cancers.Clinical proteomics · 2022Article
- Multi-omics of the expression and clinical outcomes of TMPRSS2 in human various cancers: A potential therapeutic target for COVID-19.Journal of cellular and molecular medicine · 2022Article
- An 8-Gene Signature for Classifying Major Subtypes of Non-Small-Cell Lung Cancer.Cancer informatics · 2022Article
- Comprehensive Profiling of Genomic and Transcriptomic Differences between Risk Groups of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma.Journal of personalized medicine · 2021Article
- The underlying molecular mechanism and drugs for treatment in adrenal cortical carcinoma.International journal of medical sciences · 2021Article
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Authors and funding
4 authors.
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Abstract
objectiveTo construct a diagnostic signature to distinguish lung adenocarcinoma from lung squamous cell carcinoma and a prognostic signature to predict the risk of death for patients with nonsmall-cell lung cancer, with satisfactory predictive performances, good stabilities, small sizes and meaningful biological implications.
methodsPathway-based feature selection methods utilize pathway information as a priori to provide insightful clues on potential biomarkers from the biological perspective, and such incorporation may be realized by adding weights to test statistics or gene expression values. In this study, weighted gene expression profiles were generated using the GeneRank method and then the LASSO method was used to identify discriminative and prognostic genes.
resultsThe five-gene diagnostic signature including keratin 5 (
conclusionsBesides good predictive capacity, model parsimony and stability, the identified diagnostic and prognostic genes were highly relevant to lung cancer. A large-sized prospective study to explore the utilization of these genes in a clinical setting is warranted.
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