Evidence map›Paper›PMID 25813863›Full record

ArticleNature communications2015

Label-free in vivo molecular imaging of underglycosylated mucin-1 expression in tumour cells.

Xiaolei Song, Raag D Airan, Dian R Arifin, Amnon Bar-Shir, Deepak K Kadayakkara, Guanshu Liu, Assaf A Gilad, Peter C M van Zijl, Michael T McMahon, Jeff W M Bulte

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Research progress of MUC1 in genitourinary cancers.Cellular & molecular biology letters · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Sugar-based biopolymers as novel imaging agents for molecular magnetic resonance imaging.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2019
    Review
  18. Article
  19. Article
  20. 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

10 authors at 1 institution in 1 country.

Xiaolei Song1] Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [2] Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Raag D Airan1] Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [2] Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Dian R Arifin1] Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [2] Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Amnon Bar-Shir1] Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [2] Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Deepak K Kadayakkara1] Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [2] Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA [3] Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Guanshu Liu1] Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [2] F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland 21205, USA.
Assaf A Gilad1] Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [2] Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Peter C M van Zijl1] Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [2] F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland 21205, USA.
Michael T McMahon1] Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [2] F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland 21205, USA.
Jeff W M Bulte1] Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [2] Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA [3] Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA [4] F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland 21205, USA [5] Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [6] Department of Chemical &Biomolecular Engineering, The Johns Hopkins University Whiting School of Engineering, Baltimore, Maryland 21218, USA.
Johns Hopkins University · US

Funding

ValidationU54CA151838 · NCI · JOHNS HOPKINS UNIVERSITY · PI POMPER, MARTIN G, SEARSON, PETER C · 2010 to 2014
$11.9M
Novel Approaches for CEST Labeling, Detection, Quantification and TranslationR01EB015032 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2011 to 2019
$3.9M
Multi-Color Exchange Transfer Imaging of Drug Delivery NanocarriersR01EB015031 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI MCMAHON, MICHAEL T · 2011 to 2014
$2.4M
Developing a CEST Reporter Gene (RMI)R21EB005252 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI BULTE, JEFF W. · 2005 to 2008
$1.4M
NCI NIH HHS U54 CA151838NIBIB NIH HHS R01 EB015031NIBIB NIH HHS R01 EB015032NIBIB NIH HHS R21 EB005252
6 · The paper itself

Abstract

Alterations in mucin expression and glycosylation are associated with cancer development. Underglycosylated mucin-1 (uMUC1) is overexpressed in most malignant adenocarcinomas of epithelial origin (for example, colon, breast and ovarian cancer). Its counterpart MUC1 is a large polymer rich in glycans containing multiple exchangeable OH protons, which is readily detectable by chemical exchange saturation transfer (CEST) MRI. We show here that deglycosylation of MUC1 results in >75% reduction in CEST signal. Three uMUC1(+) human malignant cancer cell lines overexpressing uMUC1 (BT20, HT29 and LS174T) show a significantly lower CEST signal compared with the benign human epithelial cell line MCF10A and the uMUC1(-) tumour cell line U87. Furthermore, we demonstrate that in vivo CEST MRI is able to make a distinction between LS174T and U87 tumour cells implanted in the mouse brain. These results suggest that the mucCEST MRI signal can be used as a label-free surrogate marker to non-invasively assess mucin glycosylation and tumour malignancy.

Indexed as

GlycosylationAnimalsCarcinomaCell Line, TumorHT29 CellsHumansMagnetic Resonance ImagingMiceMice, SCIDMolecular ImagingMucin-1Neoplasm TransplantationMUC1 protein, humanMucin-1

Identifiers

PMID25813863
PMCPMC4380237
OpenAlexW2041840542

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.