Evidence map›Paper›PMID 15838606›Full record

ReviewJournal of mammary gland biology and neoplasia2004

Scanning electrochemical microscopy: detection of human breast cancer cells by redox environment.

Susan A Rotenberg, Michael V Mirkin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of mammary gland biology and neoplasia, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-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

5 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Assessment of multidrug resistance on cell coculture patterns using scanning electrochemical microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  4. Imaging enzymes at work: metabolic mapping by enzyme histochemistry.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2010
    Review
  5. 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

2 authors at 1 institution in 1 country.

Susan A RotenbergDepartment of Chemistry & Biochemistry, Queens College of The City University of New York, Flushing, New York, USA. susan_rotenberg@qc.edu
Michael V Mirkin
Queens College, CUNY · US

Funding

Detection of Metastatic Human Breast Cells by SECMR03CA091341 · NCI · QUEENS COLLEGE · PI ROTENBERG, SUSAN A. · 2001 to 2002
$154k
NCI NIH HHS CA91341
6 · The paper itself

Abstract

Scanning electrochemical microscopy (SECM) can be used to measure the redox activity of individual human breast cells. A chemical mediator (e.g. quinone) that rapidly crosses the membrane participates in intracellular redox reactions that are recorded on a microsecond timescale by an ultramicroelectrode positioned close to the membrane. Measurements of redox reactivity yield rate constants that are different for cancerous and non-transformed human breast cells. With non-transformed or metastatic cells, rate constants are modulated by altered expression or activity of protein kinase Calpha, an enzyme involved in the mechanism of cell metastasis. When used in two-dimensional scanning, SECM produces a spatially resolved redox map of an individual cell or field of cells and can detect individual breast cancer cells in a field of non-transformed cells. These studies identify a new technology for cancer detection and establish a framework for future analysis of malignant cells in human breast tissues and biopsies.

Indexed as

AnimalsBreast NeoplasmsHumansMicroscopy, Electron, ScanningOxidation-ReductionProtein Kinase CProtein Kinase C-alphaPRKCA protein, humanProtein Kinase CProtein Kinase C-alpha

Identifiers

PMID15838606
OpenAlexW2050162730

What OpenQuestion holds

Textmetadata
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.