Evidence map›Paper›PMID 24753245›Full record

ArticleThe Journal of biological chemistry2014

Carbohydrate sequence of the prostate cancer-associated antigen F77 assigned by a mucin O-glycome designer array.

Chao Gao, Yan Liu, Hongtao Zhang, Yibing Zhang, Michiko N Fukuda, Angelina S Palma, Radoslaw P Kozak, Robert A Childs, Motohiro Nonaka, Zhen Li and 6 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.7field-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

26 citing papers in PubMed, 52 citations in OpenAlex.

  1. F77 antigen is a promising target for adoptive T cell therapy of prostate cancer.Biochemical and biophysical research communications · 2023
    Article
  2. Review
  3. Metabolic precision labeling enables selective probing of O-linkedProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. O-Glycome Beam Search Arrays for Carbohydrate Ligand Discovery.Molecular & cellular proteomics : MCP · 2018
    Article
  9. Liquid Biopsy in the OMICS Era of Tumor Medicine.Open access journal of biomedical engineering and its applications · 2018
    Article
  10. Article
  11. Characterization of H type 1 and type 1The Journal of biological chemistry · 2017
    Article
  12. Article
  13. Article
  14. Glycan Markers as Potential Immunological Targets in Circulating Tumor Cells.Advances in experimental medicine and biology · 2017
    Review
  15. Unraveling Sugar Chain Signatures of the "Seeds" of Tumor Metastasis.Journal of proteomics & bioinformatics · 2017
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

16 authors at 7 institutions in 3 countries.

Chao GaoFrom the Glycosciences Laboratory, Department of Medicine, Imperial College London, W12 0NN London, United Kingdom.
Yan LiuFrom the Glycosciences Laboratory, Department of Medicine, Imperial College London, W12 0NN London, United Kingdom, yan.liu2@imperial.ac.uk.
Hongtao Zhangthe Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6082.
Yibing ZhangFrom the Glycosciences Laboratory, Department of Medicine, Imperial College London, W12 0NN London, United Kingdom.
Michiko N Fukudathe Glycobiology Unit, Tumor Microenvironment Program, Sanford-Burnham Medical Research Institute, La Jolla, California 92037.
Angelina S PalmaFrom the Glycosciences Laboratory, Department of Medicine, Imperial College London, W12 0NN London, United Kingdom, the Department of Chemistry, New University, 2829-516 Lisbon, Portugal.
Radoslaw P KozakLudger Ltd., Culham Science Centre, Oxfordshire OX14 3EB, United Kingdom.
Robert A ChildsFrom the Glycosciences Laboratory, Department of Medicine, Imperial College London, W12 0NN London, United Kingdom.
Motohiro Nonakathe Glycobiology Unit, Tumor Microenvironment Program, Sanford-Burnham Medical Research Institute, La Jolla, California 92037.
Zhen LiFrom the Glycosciences Laboratory, Department of Medicine, Imperial College London, W12 0NN London, United Kingdom.
Don L Siegelthe Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6082.
Peter Hanflandthe Foundation of Haemotherapy Research, Institute of Experimental Haematology and Transfusion Medicine, University of Bonn, D-53127 Bonn, Germany, and.
Donna M Peehlthe Department of Urology, Stanford University School of Medicine, Stanford, California 94305.
Wengang ChaiFrom the Glycosciences Laboratory, Department of Medicine, Imperial College London, W12 0NN London, United Kingdom, w.chai@imperial.ac.uk.
Mark I Greenethe Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6082.
Ten FeiziFrom the Glycosciences Laboratory, Department of Medicine, Imperial College London, W12 0NN London, United Kingdom, t.feizi@imperial.ac.uk.
Imperial College London · GBClovis Oncology (United Kingdom) · GBUniversity of Pennsylvania · USSanford Burnham Prebys Medical Discovery Institute · USCulham Science Centre · GBStanford University · USUniversity of Bonn · DE

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
Tumor Microenvironment and Cancer ImmunologyP30CA030199 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI Michael Jackson · 1985 to 2026
$107.2M
Carbohydrate Antigenic Biomarkers for Epithelial CancersU01CA168925 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GREENE, MARK I · 2012 to 2016
$2.3M
Immunogenic sugar moieties of prostate cancersU01CA128416 · NCI · STANFORD UNIVERSITY · PI WANG, DENONG · 2007 to 2011
$2.3M
NCI NIH HHS P30 CA016520NCI NIH HHS P30 CA030199NCI NIH HHS U01 CA128416NCI NIH HHS U01 CA168925Wellcome TrustWellcome Trust WT093378MAWellcome Trust WT099197MA
6 · The paper itself

Abstract

Monoclonal antibody F77 was previously raised against human prostate cancer cells and has been shown to recognize a carbohydrate antigen, but the carbohydrate sequence of the antigen was elusive. Here, we make multifaceted approaches to characterize F77 antigen, including binding analyses with the glycolipid extract of the prostate cancer cell line PC3, microarrays with sequence-defined glycan probes, and designer arrays from the O-glycome of an antigen-positive mucin, in conjunction with mass spectrometry. Our results reveal F77 antigen to be expressed on blood group H on a 6-linked branch of a poly-N-acetyllactosamine backbone. We show that mAb F77 can also bind to blood group A and B analogs but with lower intensities. We propose that the close association of F77 antigen with prostate cancers is a consequence of increased blood group H expression together with up-regulated branching enzymes. This is in contrast to other epithelial cancers that have up-regulated branching enzymes but diminished expression of H antigen. With knowledge of the structure and prevalence of F77 antigen in prostate cancer, the way is open to explore rationally its application as a biomarker to detect F77-positive circulating prostate cancer-derived glycoproteins and tumor cells.

Indexed as

Antigens, NeoplasmCarbohydrate SequenceHumansMaleMolecular Sequence DataMucinsProstatic NeoplasmsAntigens, NeoplasmMucinsAntibodyCancer-associated AntigenCarbohydrate MicroarrayCarbohydrate StructureGlycan ArrayGlycolipidMass Spectrometry (MS)NeoglycolipidO-Glycome Designer ArrayProstate Cancer

Identifiers

PMID24753245
PMCPMC4047413
OpenAlexW1997976920

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.