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CDX2 as a Prognostic Biomarker in Stage II and Stage III Colon Cancer

Open access
Dalerba, Piero, Sahoo, Debashis, Paik, Soonmyung, Guo, Xiangqian, Yothers, Greg, Song, Nan, Wilcox-Fogel, Nate, Forgó, Erna, Rajendran, Pradeep S., Miranda, Stephen P., Hisamori, Shigeo, Hutchison, Jacqueline, Kalisky, Tomer, Qian, Dalong, Wolmark, Norman, Fisher, George A., van de Rijn, Matt, Clarke, Michael F.·2016·New England Journal of Medicine

Abstract

Background The identification of high-risk stage II colon cancers is key to the selection of patients who require adjuvant treatment after surgery. Microarray-based multigene-expression signatures derived from stem cells and progenitor cells hold promise, but they are difficult to use in clinical practice. Methods We used a new bioinformatics approach to search for biomarkers of colon epithelial differentiation across gene-expression arrays and then ranked candidate genes according to the availability of clinical-grade diagnostic assays. With the use of subgroup analysis involving independent and retrospective cohorts of patients with stage II or stage III colon cancer, the top candidate gene was tested for its association with disease-free survival and a benefit from adjuvant chemotherapy. Results The transcription factor CDX2 ranked first in our screening test. A group of 87 of 2115 tumor samples (4.1%) lacked CDX2 expression. In the discovery data set, which included 466 patients, the rate of 5-year disease-free survival was lower among the 32 patients (6.9%) with CDX2-negative colon cancers than among the 434 (93.1%) with CDX2-positive colon cancers (hazard ratio for disease recurrence, 3.44; 95% confidence interval [CI], 1.60 to 7.38; P=0.002). In the validation data set, which included 314 patients, the rate of 5-year disease-free survival was lower among the 38 patients (12.1%) with CDX2 protein-negative colon cancers than among the 276 (87.9%) with CDX2 protein-positive colon cancers (hazard ratio, 2.42; 95% CI, 1.36 to 4.29; P=0.003). In both these groups, these findings were independent of the patient's age, sex, and tumor stage and grade. Among patients with stage II cancer, the difference in 5-year disease-free survival was significant both in the discovery data set (49% among 15 patients with CDX2-negative tumors vs. 87% among 191 patients with CDX2-positive tumors, P=0.003) and in the validation data set (51% among 15 patients with CDX2-negative tumors vs. 80% among 106 patients with CDX2-positive tumors, P=0.004). In a pooled database of all patient cohorts, the rate of 5-year disease-free survival was higher among 23 patients with stage II CDX2-negative tumors who were treated with adjuvant chemotherapy than among 25 who were not treated with adjuvant chemotherapy (91% vs. 56%, P=0.006). Conclusions Lack of CDX2 expression identified a subgroup of patients with high-risk stage II colon cancer who appeared to benefit from adjuvant chemotherapy. (Funded by the National Comprehensive Cancer Network, the National Institutes of Health, and others.).

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Metadata

Authors
Dalerba, P., Sahoo, D., Paik, S., Guo, X., Yothers, G., Song, N., Wilcox-Fogel, N., Forgó, E., Rajendran, P. S., Miranda, S. P., Hisamori, S., Hutchison, J., Kalisky, T., Qian, D., Wolmark, N., Fisher, G. A., van de Rijn, M., & Clarke, M. F.
Venue
New England Journal of Medicine
Published
2016-01-21
Volume
374
Issue
3
Pages
211-222
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2301536592
Cited by
470
References
34
FWCI
32.45
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: CDX2 as a Prognostic Biomarker in Stage II and Stage III Colon Cancer. https://app.cochat.ai/papers/10.1056/nejmoa1506597
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Dalerba, P., Sahoo, D., Paik, S., Guo, X., Yothers, G., Song, N., Wilcox-Fogel, N., Forgó, E., Rajendran, P. S., Miranda, S. P., Hisamori, S., Hutchison, J., Kalisky, T., Qian, D., Wolmark, N., Fisher, G. A., van de Rijn, M., & Clarke, M. F. (2016). CDX2 as a Prognostic Biomarker in Stage II and Stage III Colon Cancer. New England Journal of Medicine. https://doi.org/10.1056/nejmoa1506597

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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.