Evidence map›Paper›PMID 27560937›Full record

ArticlePloS one2016

The Role of High-Resolution Magic Angle Spinning 1H Nuclear Magnetic Resonance Spectroscopy for Predicting the Invasive Component in Patients with Ductal Carcinoma In Situ Diagnosed on Preoperative Biopsy.

Eun Young Chae, Hee Jung Shin, Suhkmann Kim, Hyeon-Man Baek, Dahye Yoon, Siwon Kim, Ye Eun Shim, Hak Hee Kim, Joo Hee Cha, Woo Jung Choi and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  8. MR spectroscopy in breast cancer metabolomics.Analytical science advances · 2021
    Review
  9. Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer.International journal of molecular sciences · 2021
    Review
  10. Article
  11. Article
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  15. Article
  16. Review
  17. Review
  18. Alteration in lipid composition differentiates breast cancer tissues: aMetabolomics : Official journal of the Metabolomic Society · 2018
    Article
  19. Review
  20. Recent Advances in NMR-Based Metabolomics.Analytical chemistry · 2017
    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

14 authors at 3 institutions in 1 country.

Eun Young ChaeDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Hee Jung ShinDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.ORCID http://orcid.org/0000-0002-3398-1074
Suhkmann KimDepartment of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan, South Korea.
Hyeon-Man BaekCenter for Magnetic Resonance Research, Korea Basic Science Institute, Chungbuk, South Korea.
Dahye YoonDepartment of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan, South Korea.
Siwon KimDepartment of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan, South Korea.
Ye Eun ShimUniversity of Ulsan, College of Medicine, Seoul, South Korea.
Hak Hee KimDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Joo Hee ChaDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Woo Jung ChoiDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Jeong Hyun LeeDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Ji Hoon ShinDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Hee Jin LeeDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Gyungyub GongDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Ulsan College · KRPusan National University · KRKorea Basic Science Institute · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to evaluate the role of high-resolution magic angle spinning (HR-MAS) 1H nuclear magnetic resonance (NMR) spectroscopy in patients with ductal carcinoma in situ (DCIS) diagnosed on preoperative biopsy. We investigated whether the metabolic profiling of tissue samples using HR-MAS 1H NMR spectroscopy could be used to distinguish between DCIS lesions with or without an invasive component. Our institutional review board approved this combined retrospective and prospective study. Tissue samples were collected from 30 patients with pure DCIS and from 30 with DCIS accompanying invasive carcinoma. All patients were diagnosed with DCIS by preoperative core-needle biopsy and underwent surgical resection. The metabolic profiling of tissue samples was performed by HR-MAS 1H NMR spectroscopy. All observable metabolite signals were identified and quantified in all tissue samples. Metabolite intensity normalized by total spectral intensities was compared according to the tumor type using the Mann-Whitney test. Multivariate analysis was performed with orthogonal projections to latent structure-discriminant analysis (OPLS-DA). By univariate analysis, the metabolite concentrations of choline-containing compounds obtained with HR-MAS 1H NMR spectroscopy did not differ significantly between the pure DCIS and DCIS accompanying invasive carcinoma groups. However, the GPC/PC ratio was higher in the pure DCIS group than in the DCIS accompanying invasive carcinoma group (p = 0.004, Bonferroni-corrected p = 0.064), as well as the concentration of myo-inositol and succinate. By multivariate analysis, the OPLS-DA models built with HR-MAS MR metabolic profiles could clearly discriminate between pure DCIS and DCIS accompanying invasive carcinoma. Our preliminary results suggest that HR-MAS MR metabolomics on breast tissue may be able to distinguish between DCIS lesions with or without an invasive component.

Indexed as

AdultAgedBiomarkers, TumorBiopsyBreastBreast NeoplasmsCarcinoma, Intraductal, NoninfiltratingDiscriminant AnalysisFemaleHumansMagnetic Resonance SpectroscopyMaleMetabolomicsMiddle AgedMultivariate AnalysisProspective StudiesBiomarkers, Tumor

Identifiers

PMID27560937
PMCPMC4999265
OpenAlexW2512759268

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.