Evidence map›Paper›PMID 34215753›Full record

ArticleNPJ breast cancer2021

Cellphone enabled point-of-care assessment of breast tumor cytology and molecular HER2 expression from fine-needle aspirates.

Daniel Y Joh, Jacob T Heggestad, Shengwei Zhang, Gray R Anderson, Jayanta Bhattacharyya, Suzanne E Wardell, Simone A Wall, Amy B Cheng, Faris Albarghouthi, Jason Liu and 9 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in NPJ breast cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  10. Technologies for Frugal and Sensitive Point-of-Care Immunoassays.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 4 institutions in 2 countries.

Daniel Y Joh *Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.
Jacob T Heggestad *Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0001-5217-6735
Shengwei Zhang *Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.ORCID http://orcid.org/0000-0003-2631-8597
Gray R AndersonDepartment of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA.
Jayanta BhattacharyyaCenter for Biomedical Engineering, Indian Institute of Technology, Hauz Khas, New Delhi, 110016, India.
Suzanne E WardellDepartment of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA.ORCID http://orcid.org/0000-0002-5792-1447
Simone A WallDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.
Amy B ChengDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.
Faris AlbarghouthiDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.
Jason LiuDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.
Sachi OshimaDivision of Surgical Oncology, Department of Surgery, Duke University Medical Center, Durham, NC, USA.
Angus M HucknallDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.
Terry HyslopDepartment of Biostatistics & Bioinformatics, Duke University Medical Center, Durham, NC, USA.
Allison H S HallDepartment of Pathology, Duke University Medical Center, Durham, NC, USA.
Kris C WoodDepartment of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA.ORCID http://orcid.org/0000-0002-5887-2253
E Shelley HwangDivision of Surgical Oncology, Department of Surgery, Duke University Medical Center, Durham, NC, USA.
Kyle C StricklandDepartment of Pathology, Duke University Medical Center, Durham, NC, USA.
Qingshan WeiDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA. qwei3@ncsu.edu.ORCID http://orcid.org/0000-0003-1214-010X
Ashutosh ChilkotiDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA. chilkoti@duke.edu.ORCID http://orcid.org/0000-0003-1301-1836
Duke University · USDuke Medical Center · USNorth Carolina State University · USIndian Institute of Technology Delhi · IN

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
Point-of-care cellular and molecular pathology of breast tumors on a cell phoneR01CA248491 · NCI · DUKE UNIVERSITY · PI CHILKOTI, ASHUTOSH, HWANG, E. SHELLEY · 2020 to 2024
$2.9M
Smartphone Enabled Point-of-Care Detection of Serum Markers of Liver CancerUH3CA211232 · NCI · DUKE UNIVERSITY · PI CHAO, NELSON J., CHILKOTI, ASHUTOSH · 2019 to 2021
$1.9M
Smartphone Enabled Point-of-Care Detection of Serum Markers of Liver CancerUG3CA211232 · NCI · DUKE UNIVERSITY · PI CHAO, NELSON J., CHILKOTI, ASHUTOSH · 2017 to 2018
$785k
Unmasking targetable dependencies in cancer with intrinsic or acquired resistance to anti-cancer therapiesF99CA222728 · NCI · DUKE UNIVERSITY · PI ANDERSON, GRACE R · 2017 to 2018
$72k
National Science Foundation (NSF) 1944167NCI NIH HHS F99 CA222728NCI NIH HHS R01 CA248491NCI NIH HHS UG3 CA211232NCI NIH HHS UH3 CA211232NIGMS NIH HHS T32 GM007171NIGMS NIH HHS T32 GM145449U.S. Department of Defense (United States Department of Defense) W81XWH-17-2-0045U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA248491-01U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) UG3CA211232-02U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) UH3CA211232-03
6 · The paper itself

Abstract

Management of breast cancer in limited-resource settings is hindered by a lack of low-cost, logistically sustainable approaches toward molecular and cellular diagnostic pathology services that are needed to guide therapy. To address these limitations, we have developed 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 h. The EpiView-D4 is comprised of two components: (1) an immunodiagnostic chip built upon a "non-fouling" polymer brush-coating (the "D4") which quantifies expression of protein biomarkers directly from crude cell lysates, and (2) a custom cellphone-based optical microscope ("EpiView") designed for imaging cytology preparations and D4 assay readout. As a proof-of-concept, we used the EpiView-D4 for assessment of human epidermal growth factor receptor-2 (HER2) expression and validated the performance using cancer cell lines, animal models, and human tissue specimens. We found that FNA cytology specimens (prepared in less than 5 min with rapid staining kits) imaged by the EpiView-D4 were adequate for assessment of lesional cellularity and tumor content. We also found our device could reliably distinguish between HER2 expression levels across multiple different cell lines and animal xenografts. In a pilot study with human tissue (n = 19), we were able to accurately categorize HER2-negative and HER2-positve tumors from FNA specimens. Taken together, the EpiView-D4 offers a promising alternative to invasive-and often unavailable-pathology services and may enable the democratization of effective breast cancer management in limited-resource settings.

Identifiers

PMID34215753
PMCPMC8253731
OpenAlexW3175150437

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.