Evidence map›Paper›PMID 22500509›Full record

ArticleTranslational research : the journal of laboratory and clinical medicine2012

Molecular profiling of individual tumor cells by hyperspectral microscopic imaging.

Jonathan W Uhr, Michael L Huebschman, Eugene P Frenkel, Nancy L Lane, Raheela Ashfaq, Huaying Liu, Dipen R Rana, Lawrence Cheng, Alice T Lin, Gareth A Hughes and 2 more

Open access · greenAbstract read
In one paragraph

Article in Translational research : the journal of laboratory and clinical medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A Novel Hyperspectral Microscopic Imaging System for Evaluating Fresh Degree of Pork.Korean journal for food science of animal resources · 2018
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Medical hyperspectral imaging: a review.Journal of biomedical optics · 2014
    Review
  13. Review
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

12 authors at 4 institutions in 1 country.

Jonathan W UhrCancer Immunobiology Center, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390-8576, USA.
Michael L Huebschman
Eugene P Frenkel
Nancy L Lane
Raheela Ashfaq
Huaying Liu
Dipen R Rana
Lawrence Cheng
Alice T Lin
Gareth A Hughes
Xiaojing J Zhang
Harold R Garner
The University of Texas Southwestern Medical Center · USSouthwestern Medical Center · USLynntech (United States) · USThe University of Texas at Austin · US

Funding

Isolation of human tumor cells in dormant cancerR01CA106272 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI UHR, JONATHAN W · 2005 to 2007
$748k
NCI NIH HHS 1R01CA106272-01A1NCI NIH HHS R01 CA106272
6 · The paper itself

Abstract

We developed a hyperspectral microscopic imaging (HMI) platform that can precisely identify and quantify 10 molecular markers in individual cancer cells in a single pass. The exploitation of an improved separation of circulating tumor cells and the application of HMI provided an opportunity (1) to identify molecular changes in these cells, (2) to recognize the coexpression of these markers, (3) to pose an important opportunity for noninvasive diagnosis, and (4) to use targeted therapy. We balanced the intensity of 10 fluorochromes bound to 10 different antibodies, each specific to a particular tumor marker, so that the intensity of each fluorochrome can be discerned from overlapping emissions. Using 2 touch preps from each primary breast cancer, the average molecular marker intensities of 25 tumor cells gave a representative molecular signature for the tumor despite some cellular heterogeneity. The intensities determined by the HMI correlate well with the conventional 0-3+ analysis by experts in cellular pathology. Because additional multiplexes can be developed using the same fluorochromes but different antibodies, this analysis allows quantification of many molecular markers on a population of tumor cells. HMI can be automated completely, and eventually, it could allow the standardization of protein biomarkers and improve reproducibility among clinical pathology laboratories.

Indexed as

Biomarkers, TumorBreast NeoplasmsFluorescent DyesGenes, erbB-2HumansMicroscopyBiomarkers, TumorFluorescent Dyes

Identifiers

PMID22500509
PMCPMC3337082
OpenAlexW2119446773

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.