The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Gene Expression Signature of Fibroblast Serum Response Predicts Human Cancer Progression: Similarities between Tumors and Wounds
Open accessAbstract
Cancer invasion and metastasis have been likened to wound healing gone awry. Despite parallels in cellular behavior between cancer progression and wound healing, the molecular relationships between these two processes and their prognostic implications are unclear. In this study, based on gene expression profiles of fibroblasts from ten anatomic sites, we identify a stereotyped gene expression program in response to serum exposure that appears to reflect the multifaceted role of fibroblasts in wound healing. The genes comprising this fibroblast common serum response are coordinately regulated in many human tumors, allowing us to identify tumors with gene expression signatures suggestive of active wounds. Genes induced in the fibroblast serum-response program are expressed in tumors by the tumor cells themselves, by tumor-associated fibroblasts, or both. The molecular features that define this wound-like phenotype are evident at an early clinical stage, persist during treatment, and predict increased risk of metastasis and death in breast, lung, and gastric carcinomas. Thus, the transcriptional signature of the response of fibroblasts to serum provides a possible link between cancer progression and wound healing, as well as a powerful predictor of the clinical course in several common carcinomas.
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Cites
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Self-citationGene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
Tumors: Wounds That Do Not Heal
Flier, J. S., Underhill, L. H., & Dvorak, H. F. (1986) · New England Journal of Medicine · doi:10.1056/nejm198612253152606 · Cited by 4,391 · cited 2×
“Since the classic observations of the many histologic similarities between the tumor microenvironment and normal wound healing, it has been proposed that tumor stroma is ‘‘normal wound healing gone awry’’ (Dvorak 1986).”
BackgroundResultMMP-9 Supplied by Bone Marrow–Derived Cells Contributes to Skin Carcinogenesis
Coussens, L. M., Tinkle, C. L., Hanahan, D., & Werb, Z. (2000) · Cell · doi:10.1016/s0092-8674(00)00139-2 · Cited by 1,306
Cited by
Gurtner, G. C., Werner, S., Barrandon, Y., & Longaker, M. T. (2008) · Nature · doi:10.1038/nature07039 · Cited by 6,542
The Immune Landscape of Cancer
Thorsson, V., Gibbs, D. L., Brown, S. D., Wolf, D., Bortone, D. S., Ou Yang, T.-H., Porta-Pardo, E., Gao, G. F., Plaisier, C. L., Eddy, J. A., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.03.023 · Cited by 5,870
Tumor Metastasis: Molecular Insights and Evolving Paradigms
Valastyan, S., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.09.024 · Cited by 4,011
Hoadley, K. A., Yau, C., Hinoue, T., Wolf, D. M., Lazar, A. J., Drill, E., Shen, R., Taylor, A. M., Cherniack, A. D., Thorsson, V., et al. (2018) · Cell · doi:10.1016/j.cell.2018.03.022 · Cited by 2,546
“, 2014), and wound healing (Chang et al., 2004), robustly reproduced co-clustering of the immune signature sets, and were selected to perform cluster analysis of all cancer types, with the exception of hematologic neoplasias (acute myeloid leukemia, LAML; diffuse large B cell lymphoma, DLBC; and thymoma, THYM).”
BackgroundMethodBreast cancer metastasis: markers and models
Weigelt, B., Peterse, J. L., & van't Veer, L. J. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1670 · Cited by 2,232
Metadata
- Authors
- Chang, H. Y., Sneddon, J. B., Alizadeh, A. A., Sood, R., West, R. B., Montgomery, K., Chi, J.-T., Rijn, M. V. D., Botstein, D., & Brown, P. O.
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2004-01-13
- Volume
- 2
- Issue
- 2
- Pages
- e7
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2093909277
- Cited by
- 951
- References
- 4
- FWCI
- 48.44
- Type
- journal article
- Language
- en
- Open access
- gold
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- Chang, H. Y., Sneddon, J. B., Alizadeh, A. A., Sood, R., West, R. B., Montgomery, K., Chi, J.-T., Rijn, M. V. D., Botstein, D., & Brown, P. O. (2004). Gene Expression Signature of Fibroblast Serum Response Predicts Human Cancer Progression: Similarities between Tumors and Wounds. PLoS Biology. https://doi.org/10.1371/journal.pbio.0020007
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.