Evidence map›Paper›PMID 26224116›Full record

ArticleLab on a chip2015

Simultaneous MEMS-based electro-mechanical phenotyping of breast cancer.

Hardik J Pandya, Kihan Park, Wenjin Chen, Marina A Chekmareva, David J Foran, Jaydev P Desai

Abstract read
In one paragraph

Article in Lab on a chip, 2015. 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
–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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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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

6 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.
Kihan Park
Wenjin Chen
Marina A Chekmareva
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 P30CA072720NCI NIH HHS R01 CA156386NCI NIH HHS R01 CA161375NCI NIH HHS R01CA161375NLM NIH HHS R01 LM009239
6 · The paper itself

Abstract

Carcinomas are the most commonly diagnosed cancers originating in the skin, lungs, breasts, pancreas, and other organs and glands. In most of the cases, the microenvironment within the tissue changes with the progression of disease. A key challenge is to develop a device capable of providing quantitative indicators in diagnosing cancer by measuring alteration in electrical and mechanical property of the tissues from the onset of malignancy. We demonstrate micro-electro-mechanical-systems (MEMS) based flexible polymer microsensor array capable of simultaneously measuring electro-mechanical properties of the breast tissues cores (1 mm in diameter and 10 μm in thickness) from onset through progression of the cancer. The electrical and mechanical signatures obtained from the tissue cores shows the capability of the device to clearly demarcate the specific stages of cancer in epithelial and stromal regions providing quantitative indicators facilitating the diagnosis of breast cancer. The present study shows that electro-mechanical properties of the breast tissue core at the micro-level are different than those at the macro-level.

Indexed as

Lab-On-A-Chip DevicesBreast NeoplasmsFemaleHumansRetrospective Studies

Identifiers

PMID26224116
PMCPMC4550491

What OpenQuestion holds

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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.