Evidence map›Paper›PMID 25267099›Full record

ArticleLab on a chip2014

Mechanical phenotyping of breast cancer using MEMS: a method to demarcate benign and cancerous breast tissues.

Hardik J Pandya, Wenjin Chen, Lauri A Goodell, David J Foran, Jaydev P Desai

Abstract read
In one paragraph

Article in Lab on a chip, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Design and fabrication of a flexible MEMS-based electromechanical sensor array for breast cancer diagnosis.Journal of micromechanics and microengineering : structures, devices, and systems · 2015
    Article
  10. 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

5 authors.

Hardik J PandyaDepartment of Mechanical Engineering, Maryland Robotics Center, Institute for Systems Research, University of Maryland, College Park, Maryland 20742, USA. hjpandya@umd.edu.
Wenjin Chen
Lauri A Goodell
David J Foran
Jaydev P Desai

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
Image Mining for Comparative Analysis of Expression Patterns in Tissue MicroarrayR01LM009239 · NLM · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI FORAN, DAVID J, SALTZ, JOEL H. · 2007 to 2016
$4.5M
Collaborative Systems for Analyzing Tissue MicroarraysR01CA156386 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI FORAN, DAVID J · 2010 to 2014
$1.7M
Mechano-Visual Phenotyping of Cancer: From Onset Through Disease ProgressionR01CA161375 · NCI · UNIV OF MARYLAND, COLLEGE PARK · PI DESAI, JAYDEV P., FORAN, DAVID J · 2012 to 2016
$1.6M
NCI NIH HHS P30 CA072720NCI NIH HHS R01 CA156386NCI NIH HHS R01 CA161375NCI NIH HHS R01CA161375NLM NIH HHS R01 LM009239
6 · The paper itself

Abstract

The mechanical properties of tissue change significantly during the progression from healthy to malignant. Quantifying the mechanical properties of breast tissue within the tumor microenvironment can help to delineate benign from cancerous stages. In this work, we study high-grade invasive ductal carcinoma in comparison with their matched tumor adjacent areas, which exhibit benign morphology. Such paired tissue cores obtained from eight patients were indented using a MEMS-based piezoresistive microcantilever, which was positioned within pre-designated epithelial and stromal areas of the specimen. Field emission scanning electron microscopy studies on breast tissue cores were performed to understand the microstructural changes from benign to malignant. The normal epithelial tissues appeared compact and organized. The appearance of cancer regions, in comparison, not only revealed increased cellularity but also showed disorganization and increased fenestration. Using this technique, reliable discrimination between epithelial and stromal regions throughout both benign and cancerous breast tissue cores was obtained. The mechanical profiling generated using this method has the potential to be an objective, reproducible, and quantitative indicator for detecting and characterizing breast cancer.

Indexed as

BreastBreast NeoplasmsCarcinoma, Ductal, BreastFemaleHumansMicro-Electrical-Mechanical SystemsMicroscopy, Electron, ScanningPhenotypeTissue Array Analysis

Identifiers

PMID25267099
PMCPMC4224189

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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.