Evidence map›Paper›PMID 27892516›Full record

ArticleScientific reports2016

In vivo coherent Raman imaging of the melanomagenesis-associated pigment pheomelanin.

Hequn Wang, Sam Osseiran, Vivien Igras, Alexander J Nichols, Elisabeth M Roider, Joachim Pruessner, Hensin Tsao, David E Fisher, Conor L Evans

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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
10.1field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 39 citations in OpenAlex.

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  9. Pheomelanin synthesis varies with protein food abundance in developing goshawks.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2019
    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

9 authors at 3 institutions in 1 country.

Hequn WangWellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
Sam OsseiranWellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
Vivien IgrasCutaneous Biology Research Center, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
Alexander J NicholsWellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
Elisabeth M RoiderCutaneous Biology Research Center, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
Joachim PruessnerWellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
Hensin TsaoWellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
David E FisherCutaneous Biology Research Center, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
Conor L EvansWellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
Massachusetts General Hospital · USHarvard University · USHarvard–MIT Division of Health Sciences and Technology · US

Funding

Transcriptional mechanisms and melanomaP01CA163222 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Kai W Wucherpfennig · 2013 to 2026
$25.3M
The MITF transcriptional network: melanoma risk and carcinogenesisR01AR043369 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI DAVID E FISHER · 1996 to 2026
$9.4M
CIHRNCI NIH HHS P01 CA163222NIAMS NIH HHS R01 AR043369
6 · The paper itself

Abstract

Melanoma is the most deadly form of skin cancer with a yearly global incidence over 232,000 patients. Individuals with fair skin and red hair exhibit the highest risk for developing melanoma, with evidence suggesting the red/blond pigment known as pheomelanin may elevate melanoma risk through both UV radiation-dependent and -independent mechanisms. Although the ability to identify, characterize, and monitor pheomelanin within skin is vital for improving our understanding of the underlying biology of these lesions, no tools exist for real-time, in vivo detection of the pigment. Here we show that the distribution of pheomelanin in cells and tissues can be visually characterized non-destructively and noninvasively in vivo with coherent anti-Stokes Raman scattering (CARS) microscopy, a label-free vibrational imaging technique. We validated our CARS imaging strategy in vitro to in vivo with synthetic pheomelanin, isolated melanocytes, and the Mc1r

Indexed as

AnimalsEarFlow CytometryHumansMelaninsMelanocytesMelanoma, AmelanoticMice, Mutant StrainsMice, TransgenicMicroscopy, ConfocalMolecular ImagingReceptor, Melanocortin, Type 1SkinSkin NeoplasmsSpectrum Analysis, RamanMelaninspheomelaninReceptor, Melanocortin, Type 1

Identifiers

PMID27892516
PMCPMC5125099
OpenAlexW2558970276

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.