The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Tumor Microsatellite Instability and Clinical Outcome in Young Patients with Colorectal Cancer
Abstract
BACKGROUND: Colorectal cancer can arise through two distinct mutational pathways: microsatellite instability or chromosomal instability. We tested the hypothesis that colorectal cancers arising from the microsatellite-instability pathway have distinctive clinical attributes that affect clinical outcome. METHODS: We tested specimens of colorectal cancer from a population-based series of 607 patients (50 years of age or younger at diagnosis) for microsatellite instability. We compared the clinical features and survival of patients who had colorectal cancer characterized by high-frequency microsatellite instability with these characteristics in patients who had colorectal cancers with microsatellite stability. RESULT: We found high-frequency microsatellite instability in 17 percent of the colorectal cancers in 607 patients, and in a multivariate analysis, microsatellite instability was associated with a significant survival advantage independently of all standard prognostic factors, including tumor stage (hazard ratio, 0.42; 95 percent confidence interval, 0.27 to 0.67; P< 0.001). Furthermore, regardless of the depth of tumor invasion, colorectal cancers with high-frequency microsatellite instability had a decreased likelihood of metastasizing to regional lymph nodes (odds ratio, 0.33; 95 percent confidence interval, 0.21 to 0.53; P< 0.001) or distant organs (odds ratio, 0.49; 95 percent confidence interval, 0.27 to 0.89; P=0.02). CONCLUSION: High-frequency microsatellite instability in colorectal cancer is independently predictive of a relatively favorable outcome and, in addition, reduces the likelihood of metastases.
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Regression Models and Life-Tables
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Lessons from hereditary colorectal cancer
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Genetic instabilities in human cancers
Lengauer, C., Kinzler, K. W., & Vogelstein, B. (1998) · Nature · doi:10.1038/25292 · Cited by 4,168
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Microsatellite Instability in Colorectal Cancer
Boland, C. R., & Goel, A. (2010) · Gastroenterology · doi:10.1053/j.gastro.2009.12.064 · Cited by 2,456
Comprehensive Characterization of Cancer Driver Genes and Mutations
Bailey, M. H., Tokheim, C., Porta-Pardo, E., Sengupta, S., Bertrand, D., Weerasinghe, A., Colaprico, A., Wendl, M. C., Kim, J., Reardon, B., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.060 · Cited by 2,256
Ribic, C. M., Sargent, D. J., Moore, M. J., Thibodeau, S. N., French, A. J., Goldberg, R. M., Hamilton, S. R., Laurent-Puig, P., Gryfe, R., Shepherd, L. E., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022289 · Cited by 2,160
Self-citationSargent, D. J., Marsoni, S., Monges, G., Thibodeau, S. N., Labianca, R., Hamilton, S. R., French, A. J., Kabat, B., Foster, N. R., Torri, V., et al. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2009.27.1825 · Cited by 1,623
Self-citationPan-cancer whole-genome analyses of metastatic solid tumours
Priestley, P., Baber, J., Lolkema, M. P., Steeghs, N., de Bruijn, E., Shale, C., Duyvesteyn, K., Haidari, S., van Hoeck, A., Onstenk, W., et al. (2019) · Nature · doi:10.1038/s41586-019-1689-y · Cited by 1,106
Metadata
- Authors
- Gryfe, R., Kim, H., Hsieh, E. T. K., Aronson, M. D., Holowaty, E. J., Bull, S. B., Redston, M., & Gallinger, S.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2000-01-13
- Volume
- 342
- Issue
- 2
- Pages
- 69-77
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2018009295
- Cited by
- 1,388
- References
- 4
- FWCI
- 46.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gryfe, R., Kim, H., Hsieh, E. T. K., Aronson, M. D., Holowaty, E. J., Bull, S. B., Redston, M., & Gallinger, S. (2000). Tumor Microsatellite Instability and Clinical Outcome in Young Patients with Colorectal Cancer. New England Journal of Medicine. https://doi.org/10.1056/nejm200001133420201
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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