Advertisement


Charlotte E. Ariyan, MD, PhD, on Metastasectomy After Immunotherapy: Is It Effective?

AACR Annual Meeting 2021

Advertisement

Charlotte E. Ariyan, MD, PhD, of Memorial Sloan Kettering Cancer Center, discusses improved outcomes with metastasectomy in the setting of checkpoint inhibitors, with the removal of residual disease and “escape” lesions. Surgical outcomes may also be better than targeted treatments, although long-term data and biomarkers are needed to confirm these findings.



Related Videos

Breast Cancer
Immunotherapy

Rita Nanda, MD, on Triple-Negative Breast Cancer: Emerging Therapeutic Strategies

Rita Nanda, MD, of the University of Chicago, discusses the latest data on novel treatment strategies for triple-negative breast cancer, including immune checkpoint, PARP, and ATK inhibitors; antibody-drug conjugates; and targeting the androgen receptor.

Kidney Cancer
Immunotherapy

Brian I. Rini, MD, on Renal Cell Carcinoma: Data on Atezolizumab, Bevacizumab, and Sunitinib

Brian I. Rini, MD, of Vanderbilt University, discusses the IMmotion151 trial results on overall survival and the association of gene expression and clinical outcomes with atezolizumab plus bevacizumab vs sunitinib in patients with locally advanced or metastatic renal cell carcinoma (Abstract CT188).

Issues in Oncology

Jeanne Tie, MD, MBChB, on Circulating Tumor DNA, Minimal Residual Disease, and Adjuvant Treatment

Jeanne Tie, MD, MBChB, of the Peter MacCallum Cancer Centre, discusses how to improve the current, somewhat imprecise, approach based on pathologic staging alone, used to select patients for adjuvant treatment. Circulating tumor DNA analysis after curative-intent treatment may detect minimal residual disease and might be used to predict recurrence and adjuvant treatment efficacy across multiple tumor types.

Issues in Oncology

Joann G. Elmore, MD, MPH, on Cancer Diagnosis: When Pathologists Disagree, Artificial Intelligence May Help

Joann G. Elmore, MD, MPH, of the UCLA Fielding School of Public Health, discusses previous studies that show wide variability in cancer diagnoses, the uncertainties introduced by computer-aided detection tools, and new research on artificial intelligence and machine learning that may lead to more consistent and accurate diagnoses and prognoses, potentially improving treatment (Abstract SY01-03).

Breast Cancer

Dennis J. Slamon, MD, PhD, on Exploiting Cancer Biology in Developing New Treatment Paradigms

Dennis J. Slamon, MD, PhD, of the UCLA David Geffen School of Medicine, reflects on the ways in which breast cancer research pioneered the targeted treatment approach, as understanding of the basic biology of tumors deepened and new pathways were uncovered. He sees a future ripe with possibilities for new molecular targets to further improve outcomes for patients with breast cancer and other types of tumors.

Advertisement

Advertisement



Advertisement