Despite the success of ctDNA-guided de-escalation in Stage II disease, the DYNAMIC-3 trial in Stage III patients showed that ctDNA-negative patients had worse outcomes with de-escalated therapy. This serves as a critical warning against this de-escalation strategy in higher-risk patients for now.
In neoadjuvant settings, ctDNA monitoring allows for real-time therapy adjustment. Data from the iSpy platform shows 80% of hormone-positive patients clear ctDNA with half the chemotherapy, enabling de-escalation, while the remaining 20% can be identified for escalated treatment.
Historically, discussing adjuvant therapy for Stage III colon cancer was quick and straightforward, while Stage II was complex. The advent of ctDNA testing has reversed this dynamic. Stage II decisions are now clearer (treat if positive), while Stage III discussions have become much longer and more nuanced as clinicians integrate ctDNA data with patient preferences.
A study switching therapy based on ctDNA-detected ESR1 mutations revealed patients felt significantly better after the switch, even without visible tumor progression on scans. This counterintuitive finding suggests molecular progression has a subclinical impact on quality of life, supporting proactive, biomarker-driven treatment changes before patients clinically deteriorate.
The INTERCEPT study found only 2% of ctDNA-positive colorectal cancer patients clear the marker without intervention. This stable, high-risk baseline allows small trials to use ctDNA clearance as a rapid endpoint, potentially accelerating the development of new adjuvant therapies.
The practice-changing DYNAMIC trial showed that a ctDNA-guided strategy for stage II colorectal cancer reduces adjuvant chemotherapy use by 50%. Despite this significant de-escalation of treatment, patient outcomes and survival rates were identical to the standard-of-care approach.
A study where celecoxib initially failed to show benefit was re-analyzed using ctDNA. The drug provided a substantial survival improvement (HR 0.55-0.58) specifically in ctDNA-positive patients. This demonstrates ctDNA's power not just for prognosis, but as a predictive biomarker to identify which patients will benefit from a targeted therapy.
Observational data from the BESPOKE study showed that the survival benefit from adjuvant chemotherapy was only seen in patients who tested positive for ctDNA post-surgery. In contrast, ctDNA-negative patients had overlapping survival curves whether they received chemotherapy or not, questioning its utility for that group.
The interpretation of ctDNA is context-dependent. Unlike in the adjuvant setting, in the neoadjuvant setting, remaining ctDNA positive post-treatment signifies that the current therapy has failed. These high-risk patients need a different therapeutic approach, not an extension of the ineffective one.
While a positive ctDNA test clearly signals the need for adjuvant therapy, a negative result is less actionable for deciding initial treatment. The key prognostic value comes from being *serially* undetectable over time, information that is not available when the immediate post-surgery treatment decision must be made.
While the ATOMIC trial combined FOLFOX with atezolizumab, clinicians should not de-escalate by simply dropping oxaliplatin. Historical data suggests single-agent 5-FU is ineffective and potentially harmful in MSI-high patients, a risk that is not presumed to be overcome by adding immunotherapy.