The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Expression Profile–Defined Classification of Lung Adenocarcinoma Shows Close Relationship With Underlying Major Genetic Changes and Clinicopathologic Behaviors
Open accessAbstract
Purpose: This study was conducted to gain insight into the relationship between expression profiles and underlying genetic changes, which are known to be important for the pathogenesis of lung cancers. Methods: Expression profiles of 18,175 unique genes and three major targets for genetic changes, p53, epidermal growth factor receptor (EGFR), and K-ras, were investigated in 149 patients with non–small-cell lung cancer, including 90 patients with adenocarcinoma to determine their relationships with various clinicopathologic features and Gene Ontology (GO) terms. Results: This study successfully established a basis for expression profile-defined classification, which can classify adenocarcinomas into two major types, terminal respiratory unit (TRU) type and non–TRU type. Our GO term–based identifier of particular biologic processes, molecular functions, and cellular compartments clearly showed characteristic retention of normal peripheral lung features in TRU type, in sharp contrast to the significant association of non–TRU type with cell cycling and proliferation-related features. While significantly higher frequency of EGFR mutation was observed in TRU type, we found that the presence of EGFR mutations was a significant predictor of shorter postoperative survival for TRU type, independent of disease stage. We were also able to identify a set of genes in vivo with significant upregulation in the presence of EGFR mutations. Conclusion: This study has shed light on heterogeneity in lung cancers, especially in adenocarcinomas, by establishing a molecularly, genetically, and clinically relevant, expression profile-defined classification. Future studies using independent patient cohorts are warranted to confirm the prognostic significance of EGFR mutations in TRU-type adenocarcinoma.
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Cited by
Okayama, H., Kohno, T., Ishii, Y., Shimada, Y., Shiraishi, K., Iwakawa, R., Furuta, K., Tsuta, K., Shibata, T., Yamamoto, S., et al. (2012) · Cancer Research · doi:10.1158/0008-5472.can-11-1403 · Cited by 874
Li, B., Cui, Y., Diehn, M., & Li, R. (2017) · JAMA Oncology · doi:10.1001/jamaoncol.2017.1609 · Cited by 514
When is hub gene selection better than standard meta-analysis?
Langfelder, P., Mischel, P. S., & Horvath, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061505 · Cited by 313
Yamaguchi, T., Yanagisawa, K., Sugiyama, R., Hosono, Y., Shimada, Y., Arima, C., Kato, S., Tomida, S., Suzuki, M., Osada, H., et al. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.008 · Cited by 249
Self-citationRekhtman, N., Ang, D. C., Riely, G. J., Ladanyi, M., & Moreira, A. L. (2013) · Modern Pathology · doi:10.1038/modpathol.2013.74 · Cited by 117
Metadata
- Authors
- Takeuchi, T., Tomida, S., Yatabe, Y., Kosaka, T., Osada, H., Yanagisawa, K., Mitsudomi, T., & Takahashi, T.
- Venue
- Journal of Clinical Oncology
- Published
- 2006-04-20
- Volume
- 24
- Issue
- 11
- Pages
- 1679-1688
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2095635764
- Cited by
- 355
- References
- 25
- FWCI
- 15.30
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Takeuchi, T., Tomida, S., Yatabe, Y., Kosaka, T., Osada, H., Yanagisawa, K., Mitsudomi, T., & Takahashi, T. (2006). Expression Profile–Defined Classification of Lung Adenocarcinoma Shows Close Relationship With Underlying Major Genetic Changes and Clinicopathologic Behaviors. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2005.03.8224
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
