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When evaluating data for relapsed/refractory AML, clinicians must look beyond headline response rates. The number of prior therapies a patient has received dramatically impacts outcomes. A trial with a median of one prior treatment will have vastly different results than one with five.

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When treating refractory kidney cancer, clinicians prioritize regimens offering the most durable initial response. They argue against “saving” effective drugs for later, as disease progression is traumatic for patients and many never successfully receive subsequent lines of therapy. The goal is long-term disease control now, not preserving theoretical future options.

Comparing trials like Sequoia (zanubrutinib) and Amplify (acalabrutinib-venetoclax) is invalid without adjusting for baseline population differences. Amplify's inclusion of an FCR chemo-arm meant its patients were inherently more fit, necessitating statistical matching for a fair comparison.

Despite impressive data supporting HMA/Venetoclax, its application in younger, fit patients must be cautious. The pivotal VIALE-A trial excluded key subgroups like FLT3, core binding factor, and certain NPM1 patients, for whom intensive chemotherapy remains the standard.

Developers often test novel agents in late-line settings because the control arm is weaker, increasing the statistical chance of success. However, this strategy may doom effective immunotherapies by testing them in biologically hostile, resistant tumors, masking their true potential.

A significant criticism of the pivotal KEYNOTE-564 trial is that only half the patients in the control arm received standard-of-care immunotherapy upon relapse. This lack of subsequent optimal treatment complicates the interpretation of the overall survival benefit, raising questions about its true magnitude.

Even when trials like LITESPARK 022 and Keynote 564 use identical eligibility criteria, outdated staging systems result in patient populations with different underlying risks. This makes direct comparison of outcomes between trials, even for the same drug, an unfair and statistically flawed analysis that ignores the function of a control arm.

While depth of response strongly predicts survival for an individual patient, the FDA analysis concludes it cannot yet be used as a surrogate endpoint to replace overall survival in pivotal clinical trials. It serves as a measure of drug activity, similar to response rate, but is not sufficient for drug approval on its own.

Experts believe the stark difference in complete response rates (5% vs 30%) between two major ADC trials is likely due to "noise"—variations in patient populations (e.g., more upper tract disease) and stricter central review criteria, rather than a fundamental difference in the therapies' effectiveness.

Recent non-inferiority trials affirm that fixed-duration combination therapies are viable alternatives to continuous BTK inhibitors. However, clinicians must look beyond the headline conclusion, as numerical data can show slightly worse progression-free survival for high-risk subgroups within the acceptable non-inferiority margin, complicating treatment decisions.

TP53-mutated AML carries an extremely poor prognosis, significantly worse than other adverse-risk subtypes. When TP53 patients are excluded from analyses, the survival gap between the remaining adverse-risk and intermediate-risk patients narrows considerably, clarifying risk stratification.

Directly Comparing Relapsed AML Trials Is Misleading Without Scrutinizing Prior Treatment Lines | RiffOn