Metadata record for the article: Cellphone enabled point-of-care assessment of breast tumor cytology and molecular HER2 expression from fine-needle aspirates
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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
创建时间:
2021-06-09



