Colon cancer is traditionally treated surgically. However, many cases of colon cancer are systemic at the time of diagnosis, and apparently curative surgery is followed at a later date by tumor recurrence as a consequence of circulating tumors cells prior to the surgery. Adjuvant medical therapies are designed to prevent recurrences after surgical resection.
The current standard for clinical prognostication relies principally on pathological staging. In early-stage colon cancers (Stage I and II), all of the tumor is contained within the wall of the colon. Recurrences occur in <10% of patients with Stage I disease, and adjuvant chemotherapy is not administered as it provides no benefit. In Stage II colon cancers, there are recurrences in about 20% of cases and adjuvant chemotherapy provides a minimal benefit1, which is usually considered not worth the toxic effects of the drugs. Furthermore, there is quite a range of five-year survival (as low as 60%) within the Stage II group depending upon the incremental depth of invasion2. Stage III colon cancers have regional lymph node metastases, cancer recurs in >50% of cases, and multiple clinical studies have demonstrated significant increases in survival with the administration of adjuvant chemotherapy2. Patients with distant metastases (Stage IV) receive a variety of more intensive regimens, which are not usually curative. Rectal tumors are sui generis, and not part of this discussion.
The use of adjuvant chemotherapy in Stage II patients remains controversial as the vast majority of patients never develop recurrences1. Treating all Stage II patients is “overtreatment”3, as a small subset derives any therapeutic benefit, whereas others experience harm, a poorer quality of life, and no net benefit4. Prior attempts at identifying the subset of high-risk Stage II colon cancer patients have not been robust5, underscoring the need to discover prognostic and predictive biomarkers that can facilitate the selection of patients for additional treatment.
In this issue of the Journal, Dalerba and colleagues report a novel approach to the problem of identifying colon cancer patients who might benefit from adjuvant chemotherapy6. They reasoned that the presence of a stem cell-like state would be associated with more aggressive tumors, and performed a bioinformatics search for a gene-expression signature that would reflect this. By mining a large pre-existing database of colon cancers, they found sixteen genes in which expression was inversely related to the stem-like state. The CDX2 gene was the most clinically actionable of these, since it is suitable for immunohistochemistry. A series of validations was performed on multiple independent datasets—a necessary approach for data-mining research. The first confirmed an inverse relationship between CDX2 expression and patient outcome in which CDX2neg colon tumors (6.9% in the discovery dataset) were associated with significantly worse five-year disease-free survivals than CDX2pos tumors (41% versus 74%). A validation set using immunohistochemistry (13% CDX2neg) confirmed survivals of 48% versus 71% for colon cancers based upon CDX2-expression. However, this was not sufficient to prove that the subset with a worse natural history would benefit from adjuvant chemotherapy; they could be less responsive to treatment. The investigators focused upon Stage II patients and confirmed that CDX2neg cancers showed significantly worse survival than the CDX2pos cancers (48–51% versus 80–87%), and finally used an expanded database to demonstrate that the administration of chemotherapy improved disease-free survival from 56% to 91% in the Stage II group and from 37% to 74% in the Stage III group.
This was not a perfect or definitive study. In spite of the rigorous bioinformatics, the number of Stage II patients with CDX2neg tumors was small. This was a retrospective study, and requires prospective confirmation with uniform interventions, which was not necessarily the case in the different cohorts. The immunohistochemistry was performed on tissue microarrays, which facilitated rapid throughput, but may have underestimated the heterogeneity of CDX2 expression throughout the tumor. Furthermore, these findings raise the important question of what mechanism might be at work in silencing CDX2, which could lead to the discovery of novel approaches to treating the fundamental problem.
This work provides an opportunity for oncologists to move beyond what has been an inadequate method of selecting Stage II colon cancer patients for adjuvant chemotherapy. In addition to genetic targets, hypermethylation of the TFAP2E gene promoter7 and altered expression of specific miRNAs8 are among the growing list of DNA-based and epigenetic biomarkers that have shown prognostic and predictive promise in Stage II colon cancer (reviewed in9,10). It is likely that a combination of genetic and epigenetic biomarker panels will soon help refine and advance the field of predictive oncology.
Acknowledgments
The authors gratefully acknowledge Matthew B. Yurgelun, MD for a careful reading and thoughtful suggestions.
Funding: This work was supported by grants R01 CA72851, CA181572 and U01 CA187956 from the National Cancer Institute, National Institutes of Health, pilot grants from Charles A Sammons Cancer Center, and funds from the Baylor Research Institute to CRB and AG.
Footnotes
Conflicts of interest: The authors have no conflicts to disclose.
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