Evidence map›Paper›PMID 26878076›Full record

ArticleThe Analyst2016

An unsupervised MVA method to compare specific regions in human breast tumor tissue samples using ToF-SIMS.

Blake M Bluestein, Fionnuala Morrish, Daniel J Graham, Jamie Guenthoer, David Hockenbery, Peggy L Porter, Lara J Gamble

Open access · hybridAbstract readComparative Study
In one paragraph

Article in The Analyst, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

  1. Identifying Process Differences with ToF-SIMS: An MVA Decomposition Strategy.Journal of the American Society for Mass Spectrometry · 2024
    Article
  2. Review
  3. Article
  4. Successive High-Resolution (HAnalytical chemistry · 2021
    Article
  5. Article
  6. Validation of Breast Cancer Margins by Tissue Spray Mass Spectrometry.International journal of molecular sciences · 2020
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. 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

7 authors at 3 institutions in 1 country.

Blake M BluesteinUniversity of Washington, Dept. of Bioengineering, MolES Building, Box 351653, Seattle, WA 98195-1653, USA. lgamble@uw.edu.
Fionnuala MorrishFred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Daniel J GrahamUniversity of Washington, Dept. of Bioengineering, MolES Building, Box 351653, Seattle, WA 98195-1653, USA. lgamble@uw.edu.
Jamie GuenthoerFred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
David HockenberyFred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Peggy L PorterFred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Lara J GambleUniversity of Washington, Dept. of Bioengineering, MolES Building, Box 351653, Seattle, WA 98195-1653, USA. lgamble@uw.edu.
Seattle University · USFred Hutch Cancer Center · USUniversity of Washington · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
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
Developing Biosensors for Signaling LipidsR21EB020277 · NIBIB · UNIVERSITY OF WASHINGTON · PI BAJJALIEH, SANDRA M · 2015 to 2016
$425k
NCI NIH HHS P30 CA015704NCI NIH HHS P50 CA138293NIBIB NIH HHS P41 EB002027NIBIB NIH HHS R21 EB020277
6 · The paper itself

Abstract

Imaging time-of-flight secondary ion mass spectrometry (ToF-SIMS) and principal component analysis (PCA) were used to investigate two sets of pre- and post-chemotherapy human breast tumor tissue sections to characterize lipids associated with tumor metabolic flexibility and response to treatment. The micron spatial resolution imaging capability of ToF-SIMS provides a powerful approach to attain spatially-resolved molecular and cellular data from cancerous tissues not available with conventional imaging techniques. Three ca. 1 mm(2) areas per tissue section were analyzed by stitching together 200 μm × 200 μm raster area scans. A method to isolate and analyze specific tissue regions of interest by utilizing PCA of ToF-SIMS images is presented, which allowed separation of cellularized areas from stromal areas. These PCA-generated regions of interest were then used as masks to reconstruct representative spectra from specifically stromal or cellular regions. The advantage of this unsupervised selection method is a reduction in scatter in the spectral PCA results when compared to analyzing all tissue areas or analyzing areas highlighted by a pathologist. Utilizing this method, stromal and cellular regions of breast tissue biopsies taken pre- versus post-chemotherapy demonstrate chemical separation using negatively-charged ion species. In this sample set, the cellular regions were predominantly all cancer cells. Fatty acids (i.e. palmitic, oleic, and stearic), monoacylglycerols, diacylglycerols and vitamin E profiles were distinctively different between the pre- and post-therapy tissues. These results validate a new unsupervised method to isolate and interpret biochemically distinct regions in cancer tissues using imaging ToF-SIMS data. In addition, the method developed here can provide a framework to compare a variety of tissue samples using imaging ToF-SIMS, especially where there is section-to-section variability that makes it difficult to use a serial hematoxylin and eosin (H&E) stained section to direct the SIMS analysis.

Indexed as

Breast NeoplasmsHumansPrincipal Component AnalysisSpectrometry, Mass, Secondary Ion

Identifiers

PMID26878076
PMCPMC4783233
OpenAlexW2284200877

What OpenQuestion holds

Textmetadata
LicenceTDM
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.