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.

Genetic tests like DecisionDX for squamous cell carcinoma are evolving from simply predicting recurrence risk to actively informing treatment choices. Ongoing studies are exploring whether these tests can determine a patient's potential benefit from adjuvant radiation therapy, representing a critical step toward personalized medicine.

The next frontier in CSCC isn't just about new drugs, but about optimizing existing ones. A key research area is determining the minimum number of immunotherapy doses required for an optimal response—potentially just one or two—to limit toxicity, reduce treatment burden, and personalize care for high-risk patients.

While nomograms are useful for quantifying risk in primary CSCC tumors, their predictive power diminishes significantly once a patient has a regional recurrence. Clinicians should use them cautiously in the recurrent setting, as their original design and validation are based on primary tumors.

While promising, current ctDNA technology is not robust enough to justify stopping effective neoadjuvant systemic therapy in bladder cancer, even if a patient becomes ctDNA negative. Experts argue against using it to de-escalate treatment outside of a clinical trial due to the risk of undertreating a lethal disease.

Oncologists are more comfortable using a positive ctDNA test to escalate care (e.g., recommend chemo for a low-risk Stage II patient). However, they are more hesitant to use a negative test to de-escalate or withhold standard chemo for higher-risk patients, pending more definitive trial data.

The next wave of ctDNA research focuses on de-escalation. Trials like SIGNAL ER101 and an Alliance cooperative group study will test withholding intensive adjuvant treatments (like CDK4/6 inhibitors) in high-risk, ctDNA-negative patients, initiating therapy only if they turn positive later. This could spare many from toxicity and cost.

The RSClin tool integrates a patient's Oncotype DX score with their unique clinical-pathologic features, such as tumor size and grade. This provides a more accurate and personalized risk assessment, as the same genomic score can represent significantly different prognoses for patients who have low versus high clinical risk factors.

Modern breast cancer treatment has shifted from a 'one-size-fits-all' aggressive approach to a highly individualized one. By de-escalating care—doing smaller surgeries, minimizing radiation, and sometimes omitting chemotherapy or lymph node biopsies—clinicians can achieve better outcomes with fewer long-term complications for patients with favorable disease characteristics.