Evidence map›Paper›PMID 27613843›Full record

ArticleOncotarget2016

Metabolic flux-driven sialylation alters internalization, recycling, and drug sensitivity of the epidermal growth factor receptor (EGFR) in SW1990 pancreatic cancer cells.

Mohit P Mathew, Elaine Tan, Christopher T Saeui, Patawut Bovonratwet, Samuel Sklar, Rahul Bhattacharya, Kevin J Yarema

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Altered glycosylation in pancreatic cancer and beyond.The Journal of experimental medicine · 2022
    Review
  5. Evaluating the Role of Galectins in Clathrin-Independent Endocytosis.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Glycosylation and raft endocytosis in cancer.Cancer metastasis reviews · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

7 authors at 2 institutions in 1 country.

Mohit P MathewDepartment of Biomedical Engineering and the Translational Tissue Engineering Center, The Johns Hopkins University, Baltimore, Maryland, USA.
Elaine TanDepartment of Biomedical Engineering and the Translational Tissue Engineering Center, The Johns Hopkins University, Baltimore, Maryland, USA.
Christopher T SaeuiDepartment of Biomedical Engineering and the Translational Tissue Engineering Center, The Johns Hopkins University, Baltimore, Maryland, USA.
Patawut BovonratwetCurrent address: Yale School of Medicine, New Haven, Connecticut, USA.
Samuel SklarDepartment of Biomedical Engineering and the Translational Tissue Engineering Center, The Johns Hopkins University, Baltimore, Maryland, USA.
Rahul BhattacharyaDepartment of Biomedical Engineering and the Translational Tissue Engineering Center, The Johns Hopkins University, Baltimore, Maryland, USA.
Kevin J YaremaDepartment of Biomedical Engineering and the Translational Tissue Engineering Center, The Johns Hopkins University, Baltimore, Maryland, USA.
Johns Hopkins University · USYale University · US

Funding

VERSICAN PROTEOLYSIS AND REGULATION OF VASCULAR SMOOTH MUSCLEP01HL107147 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI HASCALL, VINCENT CHARLES · 2011 to 2017
$16.1M
Probing the Connections between Monosaccharide Analogs, Sialic Acid Metabolism, aR01CA112314 · NCI · JOHNS HOPKINS UNIVERSITY · PI YAREMA, KEVIN J · 2005 to 2022
$4.5M
Zeiss LSM780 Confocal Microscope for a Core FacilityS10OD016374 · OD · JOHNS HOPKINS UNIVERSITY · PI KUO, SCOT CHARLES · 2013 to 2013
$584k
NCI NIH HHS R01 CA112314NHLBI NIH HHS P01 HL107147NIH HHS S10 OD016374
6 · The paper itself

Abstract

In prior work we reported that advanced stage, drug-resistant pancreatic cancer cells (the SW1990 line) can be sensitized to the EGFR-targeting tyrosine kinase inhibitors (TKIs) erlotinib and gefitinib by treatment with 1,3,4-O-Bu3ManNAc (Bioorg. Med. Chem. Lett. (2015) 25(6):1223-7). Here we provide mechanistic insights into how this compound inhibits EGFR activity and provides synergy with TKI drugs. First, we showed that the sialylation of the EGFR receptor was at most only modestly enhanced (by ~20 to 30%) compared to overall ~2-fold increase in cell surface levels of this sugar. Second, flux-driven sialylation did not alter EGFR dimerization as has been reported for cancer cell lines that experience increased sialylation due to spontaneous mutations. Instead, we present evidence that 1,3,4-O-Bu3ManNAc treatment weakens the galectin lattice, increases the internalization of EGFR, and shifts endosomal trafficking towards non-clathrin mediated (NCM) endocytosis. Finally, by evaluating downstream targets of EGFR signaling, we linked synergy between 1,3,4-O-Bu3ManNAc and existing TKI drugs to a shift from clathrin-coated endocytosis (which allows EGFR signaling to continue after internalization) towards NCM endocytosis, which targets internalized moieties for degradation and thereby rapidly diminishes signaling.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCell Line, TumorEndocytosisErbB ReceptorsHumansPancreatic NeoplasmsProtein Kinase InhibitorsProtein TransportEGFR protein, humanErbB ReceptorsProtein Kinase Inhibitorsepidermal growth factor receptor (EGFR)galectinglycobiologypancreatic cancersialic acid

Identifiers

PMID27613843
PMCPMC5341816
OpenAlexW2517737144

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.