Evidence map›Paper›PMID 29866838›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Distinguishing malignant from benign microscopic skin lesions using desorption electrospray ionization mass spectrometry imaging.

Katherine Margulis, Albert S Chiou, Sumaira Z Aasi, Robert J Tibshirani, Jean Y Tang, Richard N Zare

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
6.0field-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

39 citing papers in PubMed, 88 citations in OpenAlex.

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  8. Promise of spatially resolved omics for tumor research.Journal of pharmaceutical analysis · 2023
    Review
  9. Article
  10. Emerging Computational Methods in Mass Spectrometry Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
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  19. Metabolomics patterns of breast cancer tumors using mass spectrometry imaging.International journal of computer assisted radiology and surgery · 2021
    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

6 authors at 1 institution in 1 country.

Katherine MargulisDepartment of Chemistry, Stanford University, Stanford, CA 94305.
Albert S ChiouDepartment of Dermatology, Stanford University School of Medicine, Stanford, CA 94305.
Sumaira Z AasiDepartment of Dermatology, Stanford University School of Medicine, Stanford, CA 94305.
Robert J TibshiraniDepartment of Statistics, Stanford University, Stanford, CA 94305.
Jean Y TangDepartment of Dermatology, Stanford University School of Medicine, Stanford, CA 94305.
Richard N ZareDepartment of Chemistry, Stanford University, Stanford, CA 94305; zare@stanford.edu.
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of microscopic skin lesions presents a considerable challenge in diagnosing early-stage malignancies as well as in residual tumor interrogation after surgical intervention. In this study, we established the capability of desorption electrospray ionization mass spectrometry imaging (DESI-MSI) to distinguish between micrometer-sized tumor aggregates of basal cell carcinoma (BCC), a common skin cancer, and normal human skin. We analyzed 86 human specimens collected during Mohs micrographic surgery for BCC to cross-examine spatial distributions of numerous lipids and metabolites in BCC aggregates versus adjacent skin. Statistical analysis using the least absolute shrinkage and selection operation (Lasso) was employed to categorize each 200-µm-diameter picture element (pixel) of investigated skin tissue map as BCC or normal. Lasso identified 24 molecular ion signals, which are significant for pixel classification. These ion signals included lipids observed at

Indexed as

Basal Cell CarcinomaBiomarkers, TumorHumansLipidsMohs SurgeryMolecular ImagingNeoplasmsProtein AggregatesSkin NeoplasmsSpectrometry, Mass, Electrospray IonizationBiomarkers, TumorLipidsProtein Aggregatesbasal cell carcinomadesorption electrospray ionizationmass spectrometry imagingmicroscopic tumorsMohs surgery

Identifiers

PMID29866838
PMCPMC6016785
OpenAlexW2807446327

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.