Joann G. Elmore, MD, MPH, on Cancer Diagnosis: When Pathologists Disagree, Artificial Intelligence May Help
AACR Annual Meeting 2021
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).
The ASCO Post Staff
Lipika Goyal, MD, of Massachusetts General Hospital, discusses phase II results of the FOENIX-CCA2 trial, which explored the clinical benefit of futibatinib, an FGFR1–4 inhibitor, tested in patients with intrahepatic cholangiocarcinoma that harbored FGFR2 gene fusions or other rearrangements (Abstract CT010).
The ASCO Post Staff
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.
The ASCO Post Staff
Samra Turajlic, MBBS, PhD, of The Francis Crick Institute, discusses our limited understanding of metastases in terms of the timing of dissemination, the many metastatic phenotypes and varieties of seeding, as well as how the spread of cancer evades the immune system and resists treatment. Expanding this knowledge base is critical to better managing malignant disease.
The ASCO Post Staff
Vivek Subbiah, MD, of The University of Texas MD Anderson Cancer Center, discusses data on selpercatinib that showed promising activity across a variety of RET fusion–positive cancers, including treatment-refractory gastrointestinal malignancies. This analysis highlights the need for genomic profiling to identify actionable oncogenic drivers.
The ASCO Post Staff
Jessica C. Hassel, MD, of University Hospital Heidelberg, discusses phase III results of a study that compared tebentafusp, a bispecific fusion protein, with investigator’s choice in patients with metastatic uveal melanoma. Tebentafusp nearly halved the risk of death among patients in the trial with this rare eye cancer (Abstract CT002).
