Dezheng Huo

The impact of site-specific digital histology signatures on deep learning model accuracy and bias

Nature Communications · 2021 · 269 citations

The Cancer Genome Atlas (TCGA) is one of the largest biorepositories of digital histology. Deep learning (DL) models have been trained on TCGA to predict numerous features directly from histology, including survival, gene expression patterns, and driver mutations. However, we demonstrate that these features vary substantially across tissue submitting sites in TCGA for over 3,000 patients with six cancer subtypes. Additionally, we show that histologic image differences between submitting sites ca…

Clinicopathologic Characteristics and Prognosis of ERBB2-Low Breast Cancer Among Patients in the National Cancer Database

JAMA Oncology · 2023 · 131 citations

Importance: Given conflicting results regarding the prognosis of erb-b2 receptor tyrosine kinase 2 (ERBB2; formerly HER2 or HER2/neu)-low breast cancer, a large-scale, nationally applicable comparison of ERBB2-low vs ERBB2-negative breast cancer is needed. Objective: To investigate whether ERBB2-low breast cancer is a clinically distinct subtype in terms of epidemiological characteristics, prognosis, and response to neoadjuvant chemotherapy. Design/Participants/Setting: This retrospective cohort…

Differences in somatic TP53 mutation type in breast tumors by race and receptor status

Breast Cancer Research and Treatment · 2022 · 17 citations

Impact of anthracyclines in genomic high-risk, node-negative, HR-positive/HER2-negative breast cancer

Annals of Oncology · 2025-09-17 · 3 citations

Clinical Trial Discussion and Participation in a Breast Cancer Cohort by Race and Ethnicity

JAMA Network Open · 2025-06-12 · 3 citations

Importance: Racial and ethnic disparities in breast cancer clinical trial participation pose a significant barrier to providing equitable care. Black and Hispanic patients are underrepresented in clinical trials, and an improved understanding of barriers to enrollment is needed. Objective: To examine patterns of clinical trial discussion and participation and patient attitudes toward clinical trial participation in a diverse cohort of patients with breast cancer. Design, Setting, and Participant…