ArticleProceedings of the National Academy of Sciences of the United States of America2001
Molecular characteristics of non-small cell lung cancer.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 111 citations in OpenAlex.
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- Text mining and network analysis of molecular interaction in non-small cell lung cancer by using natural language processing.Molecular biology reports · 2014Article
- Bronchial airway gene expression in smokers with lung or head and neck cancer.Cancer medicine · 2014Article
- Novel SNP improves differential survivability and mortality in non-small cell lung cancer patients.BMC genomics · 2014Article
- Biomarker discovery for heterogeneous diseases.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013Article
- Identification of human HK genes and gene expression regulation study in cancer from transcriptomics data analysis.PloS one · 2013Article
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- Characterization of signaling function and expression of HLA class I molecules in medulloblastoma.Journal of neuro-oncology · 2011Article
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- Comparison of lung cancer cell lines representing four histopathological subtypes with gene expression profiling using quantitative real-time PCR.Cancer cell international · 2010Article
- High-throughput molecular analysis in lung cancer: insights into biology and potential clinical applications.The European respiratory journal · 2009Review
- Fibulin-5 suppresses lung cancer invasion by inhibiting matrix metalloproteinase-7 expression.Cancer research · 2009Article
- A novel role of HLA class I in the pathology of medulloblastoma.Journal of translational medicine · 2009Article
Corrections and comments
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Authors and funding
18 authors at 3 institutions in 1 country.
Funding
Abstract
We used hierarchical clustering to examine gene expression profiles generated by serial analysis of gene expression (SAGE) in a total of nine normal lung epithelial cells and non-small cell lung cancers. Separation of normal and tumor, as well as histopathological subtypes, was evident by using the 3,921 most abundant transcript tags. This distinction remained when only 115 highly differentially expressed tags were used. Furthermore, these 115 transcript tags clustered into groups suggestive of the unique biological and pathological features of the different tissues examined. Adenocarcinomas were characterized by high-level expression of small airway-associated or immunologically related proteins, whereas squamous cell carcinomas overexpressed genes involved in cellular detoxification or antioxidation. The messages of two p53-regulated genes, p21(WAF1/CIP1) and 14-3-3final sigma, were consistently underexpressed in the adenocarcinomas, suggesting that the p53 pathway itself might be compromised in this cancer type. Gene expression patterns observed by SAGE were consistent with results obtained by quantitative real-time PCR or cDNA array analyses by using a total of 43 lung tumor and normal samples. Thus, although derived from only a few tissue libraries, gene expression profiles obtained by using SAGE most likely represent an unbiased yet distinctive molecular signature for the most common forms of human lung 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.