Evidence map›Paper›PMID 28608427›Full record

ArticleElectrophoresis2017

Breast cancer cell obatoclax response characterization using passivated-electrode insulator-based dielectrophoresis.

Sepeedah Soltanian-Zadeh, Kruthika Kikkeri, Ayesha N Shajahan-Haq, Jeannine Strobl, Robert Clarke, Masoud Agah

Abstract read
In one paragraph

Article in Electrophoresis, 2017. 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
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  5. 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

6 authors.

Sepeedah Soltanian-ZadehVT MEMS Lab, The Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Kruthika KikkeriVT MEMS Lab, The Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Ayesha N Shajahan-HaqLombardi Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Jeannine StroblVT MEMS Lab, The Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Robert ClarkeLombardi Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Masoud AgahVT MEMS Lab, The Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.

Funding

Optimizing Targeted Breast Cancer Therapy by Mathematical Modeling and Experimental StudiesR01CA201092 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI BAUMANN, WILLIAM THOMAS, SHAJAHAN-HAQ, AYESHA N. · 2016 to 2020
$2.0M
NCI NIH HHS R01 CA201092
6 · The paper itself

Abstract

Inherent electrical properties of cells can be beneficial to characterize different cell lines and their response to experimental drugs. This paper presents a novel method to characterize the response of breast cancer cells to drug stimuli through use of off-chip passivated-electrode insulator-based dielectrophoresis (OπDEP) and the application of AC electric fields. This work is the first to demonstrate the ability of OπDEP to differentiate between two closely related breast cancer cell lines, LCC1 and LCC9 while assessing their drug sensitivity to an experimental anti-cancer agent, Obatoclax. Although both cell lines are derivatives of estrogen-responsive MCF-7 breast cancer cells, growth of LCC1 is estrogen independent and anti-estrogen responsive, while LCC9 is both estrogen-independent and anti-estrogen resistant. Under the same operating conditions, LCC1 and LCC9 had different DEP profiles. LCC1 cells had a trapping onset (crossover) frequency of 700 kHz and trapping efficiencies between 30-40%, while LCC9 cells had a lower crossover frequency (100 kHz) and showed higher trapping efficiencies of 40-60%. When exposed to the Obatoclax, both cell lines exhibited dose-dependent shifts in DEP crossover frequency and trapping efficiency. Here, DEP results supplemented with cell morphology and proliferation assays help us to understand the response of these breast cancer cells to Obatoclax.

Indexed as

Antineoplastic AgentsBreast NeoplasmsCell ProliferationCell SizeDrug Resistance, NeoplasmElectrodesElectrophoresisEstrogen AntagonistsFemaleHumansIndolesMCF-7 CellsMicrofluidic Analytical TechniquesPyrrolesAntineoplastic AgentsEstrogen AntagonistsIndolesobatoclaxPyrrolesBreast cancerDielectrophoresis (DEP)Drug sensitivityEstrogen receptor positive (ER+)GX15-070 (Obatoclax)

Identifiers

PMID28608427
PMCPMC5976885

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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.