Evidence map›Paper›PMID 26319020›Full record

ArticleBiointerphases2015

Lipid analysis of eight human breast cancer cell lines with ToF-SIMS.

Michael A Robinson, Daniel J Graham, Fionnuala Morrish, David Hockenbery, Lara J Gamble

Open access · bronzeAbstract read
In one paragraph

Article in Biointerphases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.6field-weighted citation impact, top 7% 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, 45 citations in OpenAlex.

  1. Attachment ofMicroorganisms · 2025
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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

5 authors at 2 institutions in 1 country.

Michael A RobinsonNational ESCA and Surface Analysis Center for Biomedical Problems, Department of Chemical Engineering, University of Washington, Seattle, Washington 98195.
Daniel J GrahamNational ESCA and Surface Analysis Center for Biomedical Problems, Department of Bioengineering, University of Washington, Seattle, Washington 98195.
Fionnuala MorrishClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109.
David HockenberyClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109.
Lara J GambleNational ESCA and Surface Analysis Center for Biomedical Problems, Department of Bioengineering, University of Washington, Seattle, Washington 98195.
University of Washington · USFred Hutch Cancer Center · US

Funding

Surface Analysis Facility for Biomedical ProblemsP41EB002027 · NIBIB · UNIVERSITY OF WASHINGTON · PI CASTNER, DAVID G · 2003 to 2019
$17.6M
Targeted immunotherapy of breast cancer with central memory T cellsP50CA138293 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PORTER, PEGGY L. · 2010 to 2014
$11.0M
NCI NIH HHS 5P50CA138293NCI NIH HHS P50 CA138293NIBIB NIH HHS EB-002027NIBIB NIH HHS P41 EB002027
6 · The paper itself

Abstract

In this work, four triple negative (TN) cell lines, three ER+ and PR+ receptor positive (RP) cell lines, and one ER+, PR+, and HER2+ cell line were chemically distinguished from one another using time-of-flight secondary ion mass spectrometry (ToF-SIMS) and principal component analysis (PCA). PCA scores separation was observed between the individual cell lines within a given classification (TN and RP) and there were distinctly different trends found in the fatty acid and lipid compositions of the two different classifications. These trends indicated that the RP cell lines separated out based on the carbon chain length of the lipids while the TN cell lines showed separation based on cholesterol-related peaks (in the positive ion data). Both cell types separated out by trends in fatty acid chain length and saturation in the negative ions. These chemical differences may be manifestations of unique metabolic processes within each of the different cell lines. Additionally, the HER2+ cell line was distinguished from three other RP cell types as having a unique distribution of fatty acids including anticorrelation to 18-carbon chain fatty acids. As these cell lines could not be grown in the same growth media, a combination of chemical fixation, rinsing, C60 (+) presputtering, and selection of cellular regions-of-interest is also presented as a successful method to acquire ToF-SIMS data from cell lines grown in different media.

Indexed as

Breast NeoplasmsCell Line, TumorHumansLipidsPrincipal Component AnalysisSpectrometry, Mass, Secondary IonLipids

Identifiers

PMID26319020
PMCPMC4552699
OpenAlexW1886767372

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.