Evidence map›Paper›PMID 31317621›Full record

ReviewPathology international2019

Glycosylation in lymphoma: Biology and glycotherapy.

Osamu Suzuki

Open access · hybridAbstract readReview
In one paragraph

Review in Pathology international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

1 author at 1 institution in 1 country.

Osamu SuzukiDepartment of Diagnostic Pathology, School of Medicine, Fukushima Medical University, Fukushima, Japan.ORCID http://orcid.org/0000-0001-9195-7745
Fukushima Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research using mouse lymphoma cell lines has resulted in many reports of glycosylation being a key regulator for the distant metastasis of mouse lymphoma cells in animal models. In contrast, there are only a few reports of experiments examining human lymphoma cell metastasis. The glycosylation pattern in human lymphoma shows that loss of Phaseolus vulgaris leukoagglutinating lectin (L-PHA) reactive oligosaccharides, and sialylation of L-PHA reactive oligosaccharides, are closely associated with a worse prognosis for diffuse large B cell lymphoma (DLBCL) patients. Sialic acid is related to cell adhesion to the extracellular matrix and metastasis of HBL-8 Burkitt lymphoma cells in a severe combined immunodeficiency (SCID) mouse animal model. In HBL-8 clones, differential cell surface sialylation was due to different expression levels of UDP-GlcNAc 2-epimerase (GNE). Knockdown of beta-galactoside alpha-2,6-sialyltransferase (ST6Gal1) resulted in enhanced lymphoma cell adhesion to galectin-1 in anaplastic large cell lymphoma cell line, H-ALCL. A fluorinated sialic acid analogue was shown to be useful for inhibiting sialyltransferase and may provide a new glycoengineering strategy for desialylation, as well as inhibiting invasion and metastasis and inducing cell death in lymphoma cell lines. This paper discusses glycosylation and sialylation in human lymphoma, and several glycoengineering therapeutic strategies for lymphoma.

Indexed as

AnimalsAntineoplastic AgentsBiomarkers, TumorGlycosylationHumansLymphomaMiceN-Acetylneuraminic AcidNeoplasm MetastasisAntineoplastic AgentsBiomarkers, TumorN-Acetylneuraminic Acidcell adhesioncell deathN-glycanssialic acid

Identifiers

PMID31317621
PMCPMC6852584
OpenAlexW2963441065

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.