Metadata record for the article: Cellphone enabled point-of-care assessment of breast tumor cytology and molecular HER2 expression from fine-needle aspirates

Summary This metadata record provides details of the data supporting the claims of the related article: “Cellphone enabled point-of-care assessment of breast tumor cytology and molecular HER2 expression from fine-needle aspirates”. The related study presented a multimodal cellphone based-platform—the EpiView-D4—that can evaluate both cellular morphology and molecular expression of clinically relevant biomarkers directly from fine-needle aspiration (FNA) of breast tissue specimens within 1 hour. Type of data: classification of HER2-negative and HER2-positve tumors from FNA specimens; fluorescence data from D4 assays Subject of data: cancer cell lines (BT474, BT20, MDA-MB-231, MDA-MB-453, MDA-MB-468); Mus musculus (female 6-week old Nu/Nu mice); Homo sapiens Population characteristics: FOR ANIMAL STUDIES: 16 specimens were collected from three different xenograft models in nude mice: BT474, MDA-MB-453, or BT20 (N = 8, 3, 5, respectively) based on sample availability. FOR HUMAN TISSUE STUDIES: ultimately 19 cases were collected and analysed, 6 of which were confirmed to be HER2-positive, 6 HER2-negative, and 7 fibroadipose breast tissue based on specimen availability. With 3 groups comprised of 6 independent samples each, there is 81% power to detect an effect size 0f 0.75, where the effect size is the difference in means divided by the standard deviation. An effect size of 0.75 is considered moderate Data access The majority of data files underlying the related article are shared openly together with this data record. However, 4 files have not been shared publically as they contain private patient health information and permission to share these data was not obtained. Parties wishing to request access to these data files should contact the corresponding author. A detailed list of which data file underlies which element of the related article, along with their availability, is included with this data record in the file ‘Joh_et_al_2021_underlying_data_files_list.xlsx’. Corresponding author(s) for this study Ashutosh Chilkoti, Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham NC 27708 USA. chilkoti@duke.edu Study approval The Institutional Animal Care and Use Committee at Duke University