Evidence map›Paper›PMID 23053715›Full record

ArticleMagma (New York, N.Y.)2013

1H NMR analysis of choline metabolites in fine-needle-aspirate biopsies of breast cancer.

John M Pearce, Mary C Mahoney, Jing-Huei Lee, Wen-Jang Chu, Kim M Cecil, Stephen M Strakowski, Richard A Komoroski

Abstract read
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In one paragraph

Article in Magma (New York, N.Y.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Radiology. Imaging cancer · 2020
    Article
  5. Alteration in lipid composition differentiates breast cancer tissues: aMetabolomics : Official journal of the Metabolomic Society · 2018
    Article
  6. Article
  7. Article
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.

John M PearceCenter for Imaging Research, University of Cincinnati College of Medicine, and Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45267-0583, USA.
Mary C Mahoney
Jing-Huei Lee
Wen-Jang Chu
Kim M Cecil
Stephen M Strakowski
Richard A Komoroski
Sabin Vaccine Institute · USUniversity of Cincinnati Medical Center · USCincinnati Children's Hospital Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectThe relative amounts of choline (Cho), phosphocholine (PC), and glycerophosphocholine (GPC) may be sensitive indicators of breast cancer and the degree of malignancy. Here we implement some simple modifications to a previously developed (1)H NMR analysis of fine-needle-aspirate (FNA) biopsies designed to yield sufficient spectral resolution of Cho, PC, and GPC for usable relative quantitation of these metabolites. MATERIALS AND

methodsFNA biopsies of eighteen breast lesions were examined using our modified procedure for direct (1)H NMR at 400 MHz. Resonances of choline metabolites and potential interferences were fit using the computer program NUTS.

resultsQuantitation of PC, GPC, and Cho relative to each other and to (phospho)creatine was obtained for eleven confirmed cases of infiltrating ductal carcinoma. Reliable results could not be obtained for the remaining cases primarily due to interference from lidocaine anesthetic.

conclusionSome simple modifications of a previously developed (1)H NMR analysis of FNAs yielded sufficient spectral resolution of Cho, PC, and GPC to permit usable relative quantitation at 400 MHz. In 9 of the 11 quantified cases the sum of GPC and Cho exceeded 42 % of the total choline-metabolite peak area.

Indexed as

Biomarkers, TumorBiopsy, Fine-NeedleBreast NeoplasmsCholineDiagnosis, Computer-AssistedFemaleHumansProtonsReproducibility of ResultsSensitivity and SpecificityBiomarkers, TumorCholineProtons

Identifiers

PMID23053715
OpenAlexW2079690944

What OpenQuestion holds

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Registered trials

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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.