
Loading, please wait...

Loading, please wait...
"Wherever the art of Medicine is loved, there is also a love of Humanity."
— Hippocrates

In the current era of precision medicine, oncology clinicians frequently use prognostic vs predictive biomarkers to guide complex treatment decisions. For instance, circulating tumor DNA (ctDNA) helps monitor relapse risks or detect early progression. However, significant confusion persists regarding the utility of these markers at both the individual and clinical trial levels. This distinction is vital because a misunderstanding can lead to incorrect clinical inferences or misguided regulatory choices. Therefore, medical professionals must clearly differentiate between these two categories to optimize patient outcomes.
A prognostic biomarker provides essential information about the likely patient health outcome regardless of the therapy. Conversely, a predictive biomarker indicates the specific benefit a patient might receive from a particular treatment. Recent FDA reviews of the DESTINY-Breast11, SERENA-6, and IMvigor011 trials emphasize this complexity. While the FDA approved Enhertu based on pathological complete response (pCR) in DESTINY-Breast11, the SERENA-6 trial faced a different fate. Specifically, the Oncology Drug Advisory Committee (ODAC) voted against approval for camizestrant. They argued that the clinical benefit of switching therapy based on early ESR1 detection remained unproven. Consequently, identifying a marker as purely prognostic versus predictive is critical for validating surrogate endpoints in clinical trials.
Surrogate markers like ctDNA are transforming trial designs. The IMvigor011 trial demonstrated that atezolizumab significantly benefits patients with detectable ctDNA after surgery. This trial successfully used a biomarker-informed approach to refine patient selection. However, the SERENA-6 results highlight that simply detecting a mutation does not always predict a superior outcome from early intervention. Furthermore, clinical practice should only change when a biomarker is strong enough to serve as a reliable surrogate for overall survival. Clinicians should remain cautious when interpreting new biomarker data to ensure they reflect true clinical benefits for their patients.
Prognostic biomarkers provide information about the natural course of a disease. In contrast, predictive biomarkers identify patients more likely to respond to a specific therapeutic intervention.
The committee questioned if switching therapy upon ESR1 detection provided a clinically meaningful benefit compared to waiting for standard radiographic progression.
Disclaimer: This content is for informational and educational purposes only. It does not constitute medical advice or a substitute for professional healthcare consultation. Refer to the latest local and national guidelines for clinical practice.
References
Pabani A et al. Critical Appraisal: Prognostic versus Predictive Surrogate Markers in Oncology. J Natl Cancer Inst. 2026 Jun 02. doi: undefined. PMID: 42226017.
U.S. Food and Drug Administration. Oncology Drug Advisory Committee Meeting Materials: SERENA-6 and Camizestrant. April 30, 2026.
AstraZeneca. Update on FDA Advisory Committee vote on camizestrant in combination with a CDK4/6 inhibitor. April 2026.

An appraisal of prognostic versus predictive biomarkers in oncology, focusing on recent FDA insights from DESTINY-Breast11 and SERENA-6 trials....
Last week

Researchers have identified ESB1 as a key nuclear protein that regulates δ-amastin surface proteins in Leishmania. This study details how LmxESB1, along with factors like NIFP1 and RBP10, controls stage-specific gene expression, offering vital insights into the molecular mechanisms behind parasite pathogenesis.
Today

Researchers have developed the MDTAN model to enhance breast cancer survival prediction accuracy. Using multi-head self-attention and adversarial networks, this AI-driven approach helps clinicians manage the high heterogeneity of breast cancer for better prognostic outcomes.
Today

Researchers have developed a robotic catheter using magnetic jamming to enable active steering and variable stiffness. This single-source technology provides a 300-fold stiffness range, promising safer and more precise endovascular interventions through tortuous blood vessels.
Today

Researchers have developed a green, initiator-free eutectogel for flexible wearable sensors. Combining machine learning, this ultrasoft sensor achieves 98.5% accuracy in gesture recognition, offering a safer and more durable solution for remote health monitoring and human-machine interaction.
Today

Pneumothorax after thyroid or parathyroid surgery is rare (0.10%) but carries severe clinical risks. This study shows it is linked to a 16-fold increase in 1-year mortality and higher rates of pneumonia, dysphagia, and hospital readmissions, necessitating vigilant postoperative monitoring.
Today