Evidence map›Paper›PMID 30830375›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Alteration in lipid composition differentiates breast cancer tissues: a

Anup Paul, Surendra Kumar, Anubhav Raj, Abhinav A Sonkar, Sudha Jain, Atin Singhai, Raja Roy

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Quantitative NMR Methods in Metabolomics.Handbook of experimental pharmacology · 2023
    Article
  4. Article
  5. MR spectroscopy in breast cancer metabolomics.Analytical science advances · 2021
    Review
  6. Article
  7. Malignancy prediction among tissues from Oral SCC patients including neck invasions: aMetabolomics : Official journal of the Metabolomic Society · 2020
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. NMR-based metabolomics: Where are we now and where are we going?Progress in nuclear magnetic resonance spectroscopy
    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

7 authors at 3 institutions in 1 country.

Anup PaulCentre of Biomedical Research, Formerly Centre of Biomedical Magnetic Resonance (CBMR), Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Rae Bareli Road, Lucknow, 226014, India.
Surendra KumarDepartment of General Surgery, Kings George's Medical University (KGMU), Lucknow, 226003, India. dr_kukku@yahoo.co.in.
Anubhav RajDepartment of General Surgery, Kings George's Medical University (KGMU), Lucknow, 226003, India.
Abhinav A SonkarDepartment of General Surgery, Kings George's Medical University (KGMU), Lucknow, 226003, India.
Sudha JainDepartment of Chemistry, University of Lucknow, University Road, Babuganj, Hasanganj, Lucknow, 226007, India.
Atin SinghaiDepartment of Pathology, King George's Medical University, Lucknow, 226003, India.
Raja RoyCentre of Biomedical Research, Formerly Centre of Biomedical Magnetic Resonance (CBMR), Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Rae Bareli Road, Lucknow, 226014, India. roy@cbmr.res.in.ORCID 0000-0003-0048-0772
King George's Medical University · INSanjay Gandhi Post Graduate Institute of Medical Sciences · INUniversity of Lucknow · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreast cancer is the most frequent diagnosed cancer among women with a mortality rate of 15% of all cancer related deaths in women. Breast cancer is heterogeneous in nature and produces plethora of metabolites allowing its early detection using molecular diagnostic techniques like magnetic resonance spectroscopy.

objectivesTo evaluate the variation in metabolic profile of breast cancer focusing on lipids as triglycerides (TG) and free fatty acids (FFA) that may alter in malignant breast tissues and lymph nodes from adjacent benign breast tissues by HRMAS

methodsThe

resultReduction in lipid content were observed in malignant breast tissues along with a higher fraction of FFA. Four small molecule metabolites e.g., choline containing compounds (Chocc), taurine, glycine, and glutamate were also identified as major confounders. The test set for prediction provided sensitivity and specificity of more than 90% excluding the lymph nodes and skin tissues.

conclusionFatty acids composition in breast cancer using in vivo magnetic resonance spectroscopy (MRS) is gaining its importance in clinical settings (Coum et al. in Magn Reson Mater Phys Biol Med 29:1-4, 2016). The present study may help in future for precise evaluation of lipid classification including small molecules as a source of early diagnosis of invasive ductal carcinoma by employing in vivo magnetic resonance spectroscopic methods.

Indexed as

MetabolomicsBreast NeoplasmsCholineFemaleGlutamic AcidGlycineHumansLipidsMiddle AgedMultivariate AnalysisProton Magnetic Resonance SpectroscopyTaurineCholineGlutamic AcidGlycineLipidsTaurineBenign tissueBreast cancerHRMAS 1H NMR spectroscopyMalignant tumor tissueMetabolic profilingMUFAPUFASFATriglycerides

Identifiers

PMID30830375
OpenAlexW2890764156

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.