Advertisement


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

AACR Annual Meeting 2021

Advertisement

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).



Related Videos

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.

Breast Cancer

Linda T. Vahdat, MD, MBA, on Triple-Negative Breast Cancer: Targeting the Tumor Microenvironment

Linda T. Vahdat, MD, MBA, of Memorial Sloan Kettering Cancer Center, discusses results of a phase II trial designed to test the concept that targeting the tumor microenvironment by depleting copper may prevent metastases, essentially disrupting the infrastructure that contributes to tumor spread.

Immunotherapy
Pancreatic Cancer

Katelyn T. Byrne, PhD, on the Clinical Impact of T-Cell Inflammation in the Tumor Microenvironment

Katelyn T. Byrne, PhD, of the Perelman School of Medicine at the University of Pennsylvania, discusses the first in-depth analysis of the impact of selicrelumab, an anti-CD40 antibody, which was found to enrich T cells in pancreatic tumors, activate the immune system, and alter the tumor stroma (Abstract CT005).

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).

Bladder Cancer

Enrique Grande, MD, PhD, on Urothelial Carcinoma: Treatment With Atezolizumab, Platinum, and Gemcitabine

Enrique Grande, MD, PhD, of The University of Texas MD Anderson Cancer Center, Madrid, discusses phase III overall survival results from the IMvigor130 study of atezolizumab plus platinum and gemcitabine vs placebo plus platinum and gemcitabine in patients with previously untreated metastatic urothelial carcinoma (Abstract CT187).

Advertisement

Advertisement




Advertisement