Evidence map›Paper›PMID 32759277›Full record

ArticleScience translational medicine2020

CytoPAN-Portable cellular analyses for rapid point-of-care cancer diagnosis.

Jouha Min, Lip Ket Chin, Juhyun Oh, Christian Landeros, Claudio Vinegoni, Jeeyeon Lee, Soo Jung Lee, Jee Young Park, Ai-Qun Liu, Cesar M Castro and 3 more

Open access · greenAbstract read
In one paragraph

Article in Science translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  9. Integrated Analytical System for Clinical Single-Cell Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 3 countries.

Jouha MinCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-6737-7254
Lip Ket ChinCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0001-9020-7782
Juhyun OhCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-4492-6978
Christian LanderosCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-6529-253X
Claudio VinegoniCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-9818-3639
Jeeyeon LeeDepartment of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu 41404, Republic of Korea.ORCID 0000-0003-1826-1690
Soo Jung LeeDepartment of Oncology/Hematology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu 41404, Republic of Korea.ORCID 0000-0003-0066-4109
Jee Young ParkDepartment of Pathology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu 41404, Republic of Korea.ORCID 0000-0002-1857-813X
Ai-Qun LiuSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0002-0126-5778
Cesar M CastroCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-1159-5658
Hakho LeeCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA. rweissleder@mgh.harvard.edu im.hyungsoon@mgh.harvard.edu hlee@mgh.harvard.edu.ORCID 0000-0002-0087-0909
Hyungsoon ImCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA. rweissleder@mgh.harvard.edu im.hyungsoon@mgh.harvard.edu hlee@mgh.harvard.edu.ORCID 0000-0002-0626-1346
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA. rweissleder@mgh.harvard.edu im.hyungsoon@mgh.harvard.edu hlee@mgh.harvard.edu.ORCID 0000-0003-0828-4143
Massachusetts General Hospital · USKyungpook National University Hospital · KRNanyang Technological University · SGHarvard University · US

Funding

Early Detection through Novel OCEAN Technology - Ovarian Cancer Exosomal Analysis with NanoplasmonicsU01CA233360 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CASTRO, CESAR M, DINULESCU, DANIELA M · 2018 to 2022
$3.5M
Clinical platform for high-throughput analyses of extracellular vesiclesR01CA229777 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO, SKOG, JOHAN · 2018 to 2022
$3.2M
Imaging of nanotherapeutic drug actionU01CA206997 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2017 to 2021
$2.9M
Smartphone for molecular cancer diagnostic in AfricaUH3CA202637 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHABNER, BRUCE ALLAN, WEISSLEDER, MD, PHD, RALPH · 2018 to 2020
$2.9M
Multiplexed analysis of exosomes in cancer nano therapyR01CA204019 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2016 to 2020
$1.9M
Imaging tumor associated macrophage (TAM) functionR01CA206890 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PITTET, MIKAEL, WEISSLEDER, MD, PHD, RALPH · 2017 to 2021
$1.9M
Analysis of scant cancer cells in fine needle aspiratesR33CA202064 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2016 to 2018
$1.3M
Novel Nano-Plasmonic Technology for Quantitative Analysis of Cancer ExosomesR00CA201248 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2017 to 2019
$968k
Nano-plasmonic technology for high-throughput single exosome analysesR21CA217662 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2019 to 2021
$585k
NCI NIH HHS R00 CA201248NCI NIH HHS R01 CA204019NCI NIH HHS R01 CA206890NCI NIH HHS R01 CA229777NCI NIH HHS R21 CA217662NCI NIH HHS R33 CA202064NCI NIH HHS U01 CA206997NCI NIH HHS U01 CA233360NCI NIH HHS UH3 CA202637
6 · The paper itself

Abstract

Rapid, automated, point-of-care cellular diagnosis of cancer remains difficult in remote settings due to lack of specialists and medical infrastructure. To address the need for same-day diagnosis, we developed an automated image cytometry system (CytoPAN) that allows rapid breast cancer diagnosis of scant cellular specimens obtained by fine needle aspiration (FNA) of palpable mass lesions. The system is devoid of moving parts for stable operations, harnesses optimized antibody kits for multiplexed analysis, and offers a user-friendly interface with automated analysis for rapid diagnoses. Through extensive optimization and validation using cell lines and mouse models, we established breast cancer diagnosis and receptor subtyping in 1 hour using as few as 50 harvested cells. In a prospective patient cohort study (

Indexed as

Breast NeoplasmsPoint-of-Care SystemsBiopsy, Fine-NeedleFemaleHumansProspective StudiesSensitivity and Specificity

Identifiers

PMID32759277
PMCPMC8217912
OpenAlexW3046988242

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.