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.
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True early cancer detection involves finding microscopic tumor DNA in blood samples. This can identify cancer years before it's visible on an MRI, creating an opportunity for a patient's own immune system to potentially eliminate it before it ever becomes a clinical disease.
To make complex AI-driven cancer research accessible, the hosts use a 'Call of Duty' metaphor. 'Cold' tumors are enemy players invisible to the immune system (your team). An AI-discovered drug acts like a 'UAV,' making the tumors 'hot' on the minimap so the body's 'killer T-cells' can effectively target and eliminate them.
The NIH's cancellation of mRNA research is a profound strategic error. The technology's key advantage is speed, which is critical not only for future pandemics but also for personalized cancer treatments. These therapies must be developed for individual patients quickly, making mRNA the most promising platform.
With highly active agents yielding 30% complete response rates, the immediate goal should be to cure more patients by exploring potent combinations upfront. While sequencing minimizes toxicity, an ambitious combination strategy, such as ADC doublets, offers the best chance to eradicate disease and should be prioritized in clinical trials.
In adjuvant bladder cancer trials, ctDNA status is both prognostic and predictive. Patients with positive ctDNA after surgery are at high risk of relapse but benefit from immune checkpoint inhibitors. Conversely, ctDNA-negative patients have a lower risk and derive no benefit, making ctDNA a critical tool to avoid unnecessary, toxic therapy.
AI identified circulating tumor DNA (ctDNA) testing as a highly sensitive method for detecting cancer recurrence earlier than scans or symptoms. Despite skepticism from oncologists who deemed it unproven, the speaker plans to use it for proactive monitoring—a strategy he would not have known about otherwise.
High relapse rates (~70%) in surgery-alone arms of recent trials suggest most patients with muscle-invasive bladder cancer (MIBC) already have micrometastatic disease. This reframes the disease, prioritizing early systemic therapy over immediate surgery to achieve control and potential cure.
While doctors focused on the immediate, successful treatment, the speaker used AI to research and plan for the low-probability but high-impact event of a cancer relapse. This involved proactively identifying advanced diagnostics (ctDNA) and compiling a list of relevant clinical trials to act on immediately if needed.
In high-risk non-muscle invasive bladder cancer (NMIBC), trials like CREST and POTOMAC show adding a systemic immune checkpoint inhibitor to BCG therapy introduces significant toxicity. The benefit is primarily in local control, which may not justify the risk, especially with other effective intravesical options available.
With pathologic complete response rates approaching 67% in patients completing neoadjuvant EV-Pembro, a majority of cystectomies are now removing cancer-free bladders. This creates an ethical and clinical imperative to rapidly launch prospective trials to validate bladder preservation strategies and avoid overtreatment.