Tumor Microsatellite-Instability Status as a Predictor of Benefit from Fluorouracil-Based Adjuvant Chemotherapy for Colon Cancer
Open accessAbstract
BACKGROUND: Colon cancers with high-frequency microsatellite instability have clinical and pathological features that distinguish them from microsatellite-stable tumors. We investigated the usefulness of microsatellite-instability status as a predictor of the benefit of adjuvant chemotherapy with fluorouracil in stage II and stage III colon cancer. METHODS: Tumor specimens were collected from patients with colon cancer who were enrolled in randomized trials of fluorouracil-based adjuvant chemotherapy. Microsatellite instability was assessed with the use of mononucleotide and dinucleotide markers. RESULTS: Of 570 tissue specimens, 95 (16.7 percent) exhibited high-frequency microsatellite instability. Among 287 patients who did not receive adjuvant therapy, those with tumors displaying high-frequency microsatellite instability had a better five-year rate of overall survival than patients with tumors exhibiting microsatellite stability or low-frequency instability (hazard ratio for death, 0.31 [95 percent confidence interval, 0.14 to 0.72]; P=0.004). Among patients who received adjuvant chemotherapy, high-frequency microsatellite instability was not correlated with increased overall survival (hazard ratio for death, 1.07 [95 percent confidence interval, 0.62 to 1.86]; P=0.80). The benefit of treatment differed significantly according to the microsatellite-instability status (P=0.01). Adjuvant chemotherapy improved overall survival among patients with microsatellite-stable tumors or tumors exhibiting low-frequency microsatellite instability, according to a multivariate analysis adjusted for stage and grade (hazard ratio for death, 0.72 [95 percent confidence interval, 0.53 to 0.99]; P=0.04). By contrast, there was no benefit of adjuvant chemotherapy in the group with high-frequency microsatellite instability. CONCLUSIONS: Fluorouracil-based adjuvant chemotherapy benefited patients with stage II or stage III colon cancer with microsatellite-stable tumors or tumors exhibiting low-frequency microsatellite instability but not those with tumors exhibiting high-frequency microsatellite instability.
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MSI phenotype has been proofed to have relative better survival.
“which has been proofed to have relative better survival43.”
From A tumor microenvironment-specific gene expression signature predicts chemotherapy resistance in colorectal cancer patients (2021) · cites this paper as [43]
SFM-C's better survival is probably because of enrichment of MSI phenotype.
“Moreover, although SFM-C displayed nonresponsive to FOLFIRI and FOLFOX, which was also consistent with previous studies suggesting MSI tumors barely responded to fluorouracil-based therapy42, it had better survival in this combined dataset probably because of the enrichment of MSI phenotype, which has been proofed to have relative better survival43.”
From A tumor microenvironment-specific gene expression signature predicts chemotherapy resistance in colorectal cancer patients (2021) · cites this paper as [43]
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793 · see citing works
Genetic instabilities in human cancers
Lengauer, C., Kinzler, K. W., & Vogelstein, B. (1998) · Nature · doi:10.1038/25292 · Cited by 4,168 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Microsatellite Instability in Colorectal Cancer
Boland, C. R., & Goel, A. (2010) · Gastroenterology · doi:10.1053/j.gastro.2009.12.064 · Cited by 2,456 · see citing works
Molecular Basis of Colorectal Cancer
Markowitz, S. D., & Bertagnolli, M. M. (2009) · New England Journal of Medicine · doi:10.1056/nejmra0804588 · Cited by 2,052 · see citing works
Tie, J., Wang, Y., Tomasetti, C., Li, L., Springer, S., Kinde, I., Silliman, N., Tacey, M., Wong, H.-L., Christie, M., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf6219 · Cited by 1,492 · see citing works
Screening for the Lynch syndrome (hereditary nonpolyposis colorectal cancer)
Hampel, H., Frankel, W. L., Martin, E., Arnold, M., Khanduja, K., Kuebler, P., Nakagawa, H., Sotamaa, K., Prior, T. W., Westman, J., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043146 · Cited by 1,408 · see citing works
Microsatellite Instability in Colorectal Cancer-the Stable Evidence
Vilar, E., & Gruber, S. B. (2010) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2009.237 · Cited by 1,063 · see citing works
Mlecnik, B., Bindea, G., Angell, H. K., Maby, P., Angelova, M., Tougeron, D., Church, S. E., Lafontaine, L., Fischer, M., Fredriksen, T., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.02.025 · Cited by 1,034 · see citing works
Self-citation5-fluorouracil and other fluoropyrimidines in colorectal cancer: Past, present and future
Vodenkova, S., Buchler, T., Cervena, K., Veskrnova, V., Vodicka, P., & Vymetalkova, V. (2020) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.107447 · Cited by 956 · see citing works
André, T., de Gramont, A., Vernerey, D., Chibaudel, B., Bonnetain, F., Tijeras-Raballand, A., Scriva, A., Hickish, T., Tabernero, J., Van Laethem, J. L., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2015.63.4238 · Cited by 683 · see citing works
Pathways of Colorectal Carcinogenesis
Nguyen, L. H., Goel, A., & Chung, D. C. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.08.059 · Cited by 606 · see citing works
Yoshino, T., Arnold, D., Taniguchi, H., Pentheroudakis, G., Yamazaki, K., Xu, R.-H., Kim, T. W., Ismail, F., Tan, I. B., Yeh, K.-H., et al. (2018) · Annals of Oncology · doi:10.1093/annonc/mdx738 · Cited by 573 · see citing works
Difference Between Left-Sided and Right-Sided Colorectal Cancer: A Focused Review of Literature
Baran, B., Mert Ozupek, N., Yerli Tetik, N., Acar, E., Bekcioglu, O., & Baskin, Y. (2018) · Gastroenterology Research · doi:10.14740/gr1062w · Cited by 553 · see citing works
Genetics and Genetic Biomarkers in Sporadic Colorectal Cancer
Carethers, J. M., & Jung, B. H. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.06.047 · Cited by 483 · see citing works
<i>Fusobacterium</i> in Colonic Flora and Molecular Features of Colorectal Carcinoma
Tahara, T., Yamamoto, E., Suzuki, H., Maruyama, R., Chung, W., Garriga, J., Jelinek, J., Yamano, H.-O., Sugai, T., An, B., et al. (2014) · Cancer Research · doi:10.1158/0008-5472.can-13-1865 · Cited by 465 · see citing works
Microsatellite instability and colorectal cancer prognosis
Benatti, P., Gafà, R., Barana, D., Marino, M., Scarselli, A., Pedroni, M., Maestri, I., Guerzoni, L., Roncucci, L., Menigatti, M., et al. (2005) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-05-1030 · Cited by 379 · see citing works
Biomarker-guided therapy for colorectal cancer: strength in complexity
Sveen, A., Kopetz, S., & Lothe, R. A. (2020) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-019-0241-1 · Cited by 320 · see citing works
Development of a Fluorescent Multiplex Assay for Detection of MSI‐High Tumors
Bacher, J. W., Flanagan, L. A., Smalley, R. L., Nassif, N. A., Burgart, L. J., Halberg, R. B., Megid, W. M. A., & Thibodeau, S. N. (2004) · Disease Markers · doi:10.1155/2004/136734 · Cited by 276 · see citing works
Self-citationPathologic Predictors of Microsatellite Instability in Colorectal Cancer
Greenson, J. K., Huang, S.-C., Herron, C., Moreno, V., Bonner, J. D., Tomsho, L. P., Ben-Izhak, O., Cohen, H. I., Trougouboff, P., Bejhar, J., et al. (2009) · American Journal of Surgical Pathology · doi:10.1097/pas.0b013e31817ec2b1 · Cited by 286 · see citing works
The current state of molecular testing in the treatment of patients with solid tumors, 2019
El‐Deiry, W. S., Goldberg, R. M., Lenz, H., Shields, A. F., Gibney, G. T., Tan, A. R., Brown, J., Eisenberg, B., Heath, E. I., Phuphanich, S., et al. (2019) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21560 · Cited by 264 · see citing works
Self-citationPrognostic significance of defective mismatch repair and BRAF V600E in patients with colon cancer
French, A. J., Sargent, D. J., Burgart, L. J., Foster, N. R., Kabat, B. F., Goldberg, R., Shepherd, L., Windschitl, H. E., & Thibodeau, S. N. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-1489 · Cited by 251 · see citing works
Self-citationGatalica, Z., Vranic, S., Xiu, J., Swensen, J., & Reddy, S. (2016) · Familial Cancer · doi:10.1007/s10689-016-9884-6 · Cited by 141 · see citing works
Immune overdrive signature in colorectal tumor subset predicts poor clinical outcome
Fakih, M., Ouyang, C., Wang, C., Tu, T. Y., Gozo, M. C., Cho, M., Sy, M., Longmate, J. A., & Lee, P. P. (2019) · Journal of Clinical Investigation · doi:10.1172/jci127046 · Cited by 84 · see citing works
Telomeres, telomerase and colorectal cancer
Bertorelle, R. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i8.1940 · Cited by 82 · see citing works
Bertorelle, R., Briarava, M., Rampazzo, E., Biasini, L., Agostini, M., Maretto, I., Lonardi, S., Friso, M. L., Mescoli, C., Zagonel, V, et al. (2013) · British Journal of Cancer · doi:10.1038/bjc.2012.602 · Cited by 77 · see citing works
BCL-2 system analysis identifies high-risk colorectal cancer patients
Lindner, A. U., Salvucci, M., Morgan, C., Monsefi, N., Resler, A. J., Cremona, M., Curry, S., Toomey, S., O'Byrne, R., Bacon, O., et al. (2017) · Gut · doi:10.1136/gutjnl-2016-312287 · Cited by 50 · see citing works
Self-citationKu, J.-L., Shin, Y.-K., Kim, D.-W., Kim, K.-H., Choi, J.-S., Hong, S.-H., Jeon, Y.-K., Kim, S.-H., Kim, H.-S., Park, J.-H., et al. (2010) · Carcinogenesis · doi:10.1093/carcin/bgq043 · Cited by 52 · see citing works
Patient-derived tumor models: a more suitable tool for pre-clinical studies in colorectal cancer
Rizzo, G., Bertotti, A., Leto, S. M., & Vetrano, S. (2021) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-021-01970-2 · Cited by 51 · see citing works
The mismatch repair‐mediated cell cycle checkpoint response to fluorodeoxyuridine
Liu, A., Yoshioka, K., Salerno, V., & Hsieh, P. (2008) · Journal of Cellular Biochemistry · doi:10.1002/jcb.21824 · Cited by 50 · see citing works
Zhu, X., Tian, X., Ji, L., Zhang, X., Cao, Y., Shen, C., Hu, Y., Wong, J. W. H., Fang, J.-Y., Hong, J., et al. (2021) · npj Precision Oncology · doi:10.1038/s41698-021-00142-x · Cited by 41 · see citing works
Halpern, N., Goldberg, Y., Kadouri, L., Duvdevani, M., Hamburger, T., Peretz, T., & Hubert, A. (2017) · OncoTargets and Therapy · doi:10.2147/ott.s126905 · Cited by 23 · see citing works
Kullmann, F., Strissel, P. L., Strick, R., Stoehr, R., Eckstein, M., Bertz, S., Wullich, B., Sikic, D., Wach, S., Taubert, H., et al. (2023) · Journal of Clinical Pathology · doi:10.1136/jclinpath-2021-207855 · Cited by 20 · see citing works
- Authors
- 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., Tu, D., Redston, M., & Gallinger, S.
- Affiliations
- Lunenfeld-Tanenbaum Research Institute (CA)
- Queen's University (CA)
- The University of Texas MD Anderson Cancer Center (US)
- Mount Sinai Hospital (CA)
- Brigham and Women's Hospital (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2003-07-17
- Volume
- 349
- Issue
- 3
- Pages
- 247-257
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC3584639
- OpenAlex
- W2127951115
- Cited by
- 2,160
- References
- 2
- Citations by year
- 2026: 35 · 2025: 40 · 2024: 80 · 2023: 67 · 2022: 86 · 2021: 96 · 2020: 119 · 2019: 115 · 2018: 118 · 2017: 92 · 2016: 97 · 2015: 110 · 2014: 112 · 2013: 107 · 2012: 115
- FWCI
- 52.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5u01ca060100-02)
- National Cancer Institute (CA-23318, (CA-25224, U10CA025224, CA60100, U10CA023318, U10CA021115, P50CA062924, CA 21115, CA 62924)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
- Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
- Health Sciences › Medicine › Oncology › Colorectal Cancer Surgical Treatments
- Keywords
- microsatellite instability, colon cancer, 5-fluorouracil, adjuvant chemotherapy, predictive biomarkers, stage II colon cancer, stage III colon cancer, overall survival, treatment response prediction
- MeSH terms
- Analysis of Variance, Antimetabolites, Antineoplastic, DNA Repair, DNA, Neoplasm, Fluorouracil, Follow-Up Studies, Humans, Neoplasm Staging, Prognosis, Colorectal Neoplasms, Survival Analysis, Chemotherapy, Adjuvant, Microsatellite Repeats, Base Pair Mismatch
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