Conference Coverage

Research Highlights From ESMO Breast Cancer


 

FROM ESMO BREAST CANCER 2024

Five experts discussed research that they considered to be highlights of the European Society of Medical Oncology (ESMO) Breast Cancer annual congress during a “Key Takeaways” session at the meeting.

Among the topics the speakers addressed were breast cancer prevention, early breast cancer, advanced breast cancer, and supportive care.

In recent years, the way clinicians look at carcinogenesis in breast cancer has changed, and many new targets for potential early detection and prevention have emerged, said Suzette Delaloge, MD, of Gustave Roussy, Paris, France, in her presentation at the meeting.

Instant risk assessment at different time points could potentially intercept cancer among high-risk individuals, she said.

A study by Mikael Eriksson, PhD, and colleagues focused on external validation of the Profound AI tool to identify breast cancer risk in the general population. The researchers showed an area under the curve of 0.72 in their AI risk model, which has the potential to be clinically meaningful, although it must be prospectively validated, Dr. Delaloge said in her presentation.

She also reviewed two studies on the use of genes to further refine breast cancer risk among carriers. One of these, a prospective study presented in a session by Kelly-Anne Phillips, MD, of Peter MacCallum Cancer Center, Melbourne, Australia, used the CANRISK online risk assessment tool and validated increased breast cancer risk in BRCA1 and BRCA2 carriers, with AUCs of 0.79 and 0.78, respectively. The other study, which was by Maria Rezqallah Aron, MD, and colleagues examined polygenic scores as a way to refine breast cancer risk stratification among carriers of the ALM and PALB2 genes as well. These genes might be useful in identifying individuals who could benefit from early intervention, including surgery, Dr. Delaloge said.

Translational Research

“Preparing my talk, I felt like a kid in a candy store,” because of the amount of new translational research presented, including several studies of endocrine treatment–based approaches to therapy, said Marleen Kok, MD, of the Netherlands Cancer Institute, Amsterdam.

In her presentation, Dr. Kok highlighted findings from an analysis of patients in the monarchE study (a trial of high-risk patients) showing a consistent improvement in invasive disease-free survival for the subset of patients with germline BRCA1 and BRCA2 mutations who received abemaciclib plus endocrine therapy.

The value of tumor-infiltrating lymphocytes (TILs) on patients who are not receiving chemotherapy is important because of the focus on prognosis, and prospective trials are underway, she said.

A poster on the impact of chemotherapy and stromal tumor-infiltrating lymphocytes (sTILs) in stage I triple-negative breast cancer showed no association between chemotherapy and better outcomes regardless of sTILs in patients who did and did not receive chemotherapy, which has implications for potential treatment sparing in this population, Dr. Kok noted.

Artificial Intelligence (AI) was the subject of several posters at the meeting, and Dr. Kok identified a multisite European study of an automated HER2 scoring system as notable for its size and accuracy. In the study, the accuracy among pathologists was much higher with the assistance of AI, she said. Using AI for more complex analysis has shown success, she said.

Dr. Kok ended her talk with a poster that surveyed breast cancer patients about their understanding of their disease. The results showed that less than half (44%) of patients reported that their healthcare providers had given them enough information to learn about their breast cancer type, and less than one third could recall terminology about biomarkers; the study is important because it shows that clinicians need to do better in explaining these terms to patients, Dr. Kok said.

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