Evidence map›Paper›PMID 22764208›Full record

ArticleScience translational medicine2012

Ultrasensitive clinical enumeration of rare cells ex vivo using a micro-hall detector.

David Issadore, Jaehoon Chung, Huilin Shao, Monty Liong, Arezou A Ghazani, Cesar M Castro, Ralph Weissleder, Hakho Lee

Open access · greenAbstract read
In one paragraph

Article in Science translational medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 1 pooled it
18.0field-weighted citation impact, top 1% 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

96 citing papers in PubMed, 1 synthesis or guideline pooled it, 242 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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  7. Article
  8. Article
  9. Immunomagnetic microscopy of tumor tissues using quantum sensors in diamond.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Review
  11. Review
  12. Genomic Analysis of Circulating Tumor Cells at the Single-Cell Level.The Journal of molecular diagnostics : JMD · 2020
    Article
  13. Quantification of Protein Secretion from Circulating Tumor Cells in Microfluidic Chambers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  14. Review
  15. Magnetic Nanoparticles in Cancer Therapy and Diagnosis.Advanced healthcare materials · 2020
    Review
  16. Article
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  20. Review

36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

David IssadoreCenter for Systems Biology, Massachusetts General Hospital, 185 Cambridge Street, CPZN 5206, Boston, MA 02114, USA.
Jaehoon Chung
Huilin Shao
Monty Liong
Arezou A Ghazani
Cesar M Castro
Ralph Weissleder
Hakho Lee
Massachusetts General Hospital · USCenter for Systems Biology · USHarvard University · US

Funding

The role of microvesicles in giloma virotherapyP01CA069246 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAREST, ALAIN · 1996 to 2021
$30.9M
TREATMENT OF CANCER WITH siRNA DELVIERED BY NANOPARTICLESU54CA119349 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LANGER, ROBERT SAMUEL · 2005 to 2009
$20.5M
Dana Farber/Harvard Cancer Consortium Career Development Program in Clinical OncologyK12CA087723 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI David Tsai Ting · 2002 to 2026
$17.9M
Translational Program of Excellence in NanotechnologyU01HL080731 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2005 to 2009
$14.9M
Training Grant in Molecular Imaging Research (MGH/HMS)T32CA079443 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2000 to 2025
$10.1M
Magnetic nanoswitches for sensing biomoleculesR01EB004626 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2004 to 2012
$3.2M
NCI NIH HHS K12CA087723-10S2NCI NIH HHS P01 CA069246NCI NIH HHS T32 CA079443NCI NIH HHS T32-CA79443NCI NIH HHS U54 CA119349NCI NIH HHS U54-CA119349NHLBI NIH HHS HHSN268201000044CNHLBI NIH HHS U01 HL080731NHLBI NIH HHS U01-HL080731NIBIB NIH HHS 2R01-EB004626NIBIB NIH HHS R01 EB004626
6 · The paper itself

Abstract

The ability to detect rare cells (<100 cells/ml whole blood) and obtain quantitative measurements of specific biomarkers on single cells is increasingly important in basic biomedical research. Implementing such methodology for widespread use in the clinic, however, has been hampered by low cell density, small sample sizes, and requisite sample purification. To overcome these challenges, we have developed a microfluidic chip-based micro-Hall detector (μHD), which can directly measure single, immunomagnetically tagged cells in whole blood. The μHD can detect single cells even in the presence of vast numbers of blood cells and unbound reactants, and does not require any washing or purification steps. In addition, the high bandwidth and sensitivity of the semiconductor technology used in the μHD enables high-throughput screening (currently ~10(7) cells/min). The clinical use of the μHD chip was demonstrated by detecting circulating tumor cells in whole blood of 20 ovarian cancer patients at higher sensitivity than currently possible with clinical standards. Furthermore, the use of a panel of magnetic nanoparticles, distinguished with unique magnetization properties and bio-orthogonal chemistry, allowed simultaneous detection of the biomarkers epithelial cell adhesion molecule (EpCAM), human epidermal growth factor receptor 2 (HER2)/neu, and epidermal growth factor receptor (EGFR) on individual cells. This cost-effective, single-cell analytical technique is well suited to perform molecular and cellular diagnosis of rare cells in the clinic.

Indexed as

Biosensing TechniquesCell SeparationFemaleHumansMicrofluidic Analytical TechniquesNeoplastic Cells, Circulating

Identifiers

PMID22764208
PMCPMC3603277
OpenAlexW2051551006

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.