Evidence map›Paper›PMID 27596041›Full record

ArticleScientific reports2016

Raman Spectroscopic Analysis Reveals Abnormal Fatty Acid Composition in Tumor Micro- and Macroenvironments in Human Breast and Rat Mammary Cancer.

Sixian You, Haohua Tu, Youbo Zhao, Yuan Liu, Eric J Chaney, Marina Marjanovic, Stephen A Boppart

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.5field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 40 citations in OpenAlex.

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  6. Journal of biomedical optics · 2023
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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

7 authors at 1 institution in 1 country.

Sixian YouBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois, USA.
Haohua TuBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois, USA.
Youbo ZhaoBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois, USA.
Yuan LiuBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois, USA.
Eric J ChaneyBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois, USA.
Marina MarjanovicBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois, USA.
Stephen A BoppartBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois, USA.
University of Illinois Urbana-Champaign · US

Funding

Intraoperative Label-Free Optical Molecular Imaging of Breast Tumor MarginsR01CA166309 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2012 to 2016
$2.5M
NCI NIH HHS R01 CA166309
6 · The paper itself

Abstract

Fatty acids play essential roles in the growth and metastasis of cancer cells. To facilitate their avid growth and proliferation, cancer cells not only alter the fatty acid synthesis and metabolism intracellularly and extracellularly, but also in the macroenvironment via direct or indirect pathways. We report here, using Raman micro-spectroscopy, that an increase in the production of polyunsaturated fatty acids (PUFAs) was identified in both cancerous and normal appearing breast tissue obtained from breast cancer patients and tumor-bearing rats. By minimizing confounding effects from mixed chemicals and optimizing the signal-to-noise ratio of Raman spectra, we observed a large-scale transition from monounsaturated fatty acids to PUFAs in the tumor while only a small subset of fatty acids transitioned to PUFAs in the tumor micro- and macroenvironment. These data have important implications for further clarifying the macroenvironmental effect of cancer progression and provide new potential approaches for characterizing the tumor micro- and macroenvironment of breast cancer in both pre-clinical animal studies and clinical applications.

Indexed as

AnimalsBreastBreast NeoplasmsFatty Acids, UnsaturatedFemaleHumansMammary Glands, AnimalMammary Neoplasms, ExperimentalRatsRats, WistarSignal-To-Noise RatioSpectrum Analysis, RamanFatty Acids, Unsaturated

Identifiers

PMID27596041
PMCPMC5011773
OpenAlexW2510061978

What OpenQuestion holds

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LicenceCC BY
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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.