Evidence map›Paper›PMID 35508767›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Integrated Analytical System for Clinical Single-Cell Analysis.

Hannah M Peterson, Lip Ket Chin, Yoshi Iwamoto, Juhyun Oh, Jonathan C T Carlson, Hakho Lee, Hyungsoon Im, Ralph Weissleder

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Integrated Analytical System for Clinical Single-Cell Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hannah M PetersonCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Lip Ket ChinCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Yoshi IwamotoCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Juhyun OhCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Jonathan C T CarlsonCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Hakho LeeCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Hyungsoon ImCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.ORCID 0000-0003-0828-4143

Funding

Training Grant in Molecular Imaging Research (MGH/HMS)T32CA079443 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2000 to 2025
$10.1M
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
FAST-FNA immune cell profiling in HNSCCR01CA257623 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI FAQUIN, WILLIAM CLAY, WEISSLEDER, MD, PHD, RALPH · 2021 to 2025
$3.3M
Clinical platform for high-throughput analyses of extracellular vesiclesR01CA229777 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO, SKOG, JOHAN · 2018 to 2022
$3.2M
Imaging and Liquid Biopsy for Glioma Diagnosis and Treatment MonitoringR01CA239078 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BALAJ, LEONORA, LEE, HAKHO · 2020 to 2024
$3.1M
Smartphone for molecular cancer diagnostic in AfricaUH3CA202637 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHABNER, BRUCE ALLAN, WEISSLEDER, MD, PHD, RALPH · 2018 to 2020
$2.9M
Development of plasmon-enhanced biosensing for multiplexed profiling of extracellular vesiclesR01GM138778 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2020 to 2024
$2.3M
Nano-plasmonic technology for high-throughput single exosome analysesR21CA217662 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2019 to 2021
$585k
MGH Scholar Fund T32CA079443NCI NIH HHS R01 CA229777NCI NIH HHS R01 CA239078NCI NIH HHS R01 CA257623NCI NIH HHS R21 CA217662NCI NIH HHS T32 CA079443NCI NIH HHS U01 CA233360NCI NIH HHS UH3 CA202637NIGMS NIH HHS R01 GM138778Part of this work was funded by DOD-W81XWH1910194 (HL)Part of this work was funded by MGH Scholar Fund (HL)Part of this work was funded by R01CA229777 (HL)Part of this work was funded by R01CA257623 (RW)Part of this work was funded by R01GM138779 (HI)Part of this work was funded by R21CA217662 (HI)Part of this work was funded by T32CA079443 (HMP)Part of this work was funded by U01CA233360 (HL)Part of this work was funded by UH3CA202637 (RW)
6 · The paper itself

Abstract

High-dimensional analyses of cancers can potentially be used to better define cancer subtypes, analyze the complex tumor microenvironment, and perform cancer cell pathway analyses for drug trials. Unfortunately, integrated systems that allow such analyses in serial fine needle aspirates within a day or at point-of-care currently do not exist. To achieve this, an integrated immunofluorescence single-cell analyzer (i2SCAN) for deep profiling of directly harvested cells is developed. By combining a novel cellular imaging system, highly cyclable bioorthogonal FAST antibody panels, and integrated computational analysis, it is shown that same-day analysis is possible in thousands of harvested cells. It is demonstrated that the i2SCAN approach allows comprehensive analysis of breast cancer samples obtained by fine needle aspiration or core tissues. The method is a rapid, robust, and low-cost solution to high-dimensional analysis of scant clinical specimens.

Indexed as

NeoplasmsSingle-Cell AnalysisBiopsy, Fine-NeedleHumansTumor Microenvironmentbiopsycancerdeep profilingdiagnostic

Identifiers

PMID35508767
PMCPMC9284190

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.