Evidence map›Paper›PMID 29051806›Full record

ArticleChemical science2012

Synthetic lectin arrays for the detection and discrimination of cancer associated glycans and cell lines.

Kevin L Bicker, Jing Sun, Morgan Harrell, Yu Zhang, Maria M Pena, Paul R Thompson, John J Lavigne

Abstract read
In one paragraph

Article in Chemical science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 44 citations in OpenAlex.

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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.

Kevin L BickerDepartment of Chemistry & Biochemistry, University of South Carolina, 631 Sumter Street, Columbia, SC, USA 29208. JLavigne@chem.sc.edu; ; Tel: +(803)-777-5264.
Jing SunDepartment of Chemistry & Biochemistry, University of South Carolina, 631 Sumter Street, Columbia, SC, USA 29208. JLavigne@chem.sc.edu; ; Tel: +(803)-777-5264.
Morgan HarrellDepartment of Chemistry & Biochemistry, University of South Carolina, 631 Sumter Street, Columbia, SC, USA 29208. JLavigne@chem.sc.edu; ; Tel: +(803)-777-5264.
Yu ZhangDepartment of Biological Sciences, University of South Carolina, 715 Sumter Street, Columbia, SC USA 29208.
Maria M PenaDepartment of Biological Sciences, University of South Carolina, 715 Sumter Street, Columbia, SC USA 29208.
Paul R ThompsonDepartment of Chemistry, The Scripps Research Institute, Scripps Florida, 120 Scripps Way, Jupiter, Florida, USA 33458. PThompso@scripps.edu; ; Tel: +(561)-228-2860.
John J LavigneDepartment of Chemistry & Biochemistry, University of South Carolina, 631 Sumter Street, Columbia, SC, USA 29208. JLavigne@chem.sc.edu; ; Tel: +(803)-777-5264.
University of South Carolina Sumter · USScripps Research Institute · US

Funding

TISSUE BIOREPOSITORYP20RR017698 · NCRR · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FAYAD, RAJA · 2002 to 2011
$22.5M
Stromal modulation of response to Thymidylate synthase inhibitorsR01CA154731 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI PENA, MARIA MARJORETTE · 2011 to 2015
$1.5M
NCI NIH HHS R01 CA154731NCRR NIH HHS P20 RR017698
6 · The paper itself

Abstract

Aberrant glycosylation is a hallmark of various disease states, including cancer, and effective detection and discrimination between healthy and diseased cells is an important challenge for the diagnosis and treatment of many diseases. Here, we describe the use of boronic acid functionalized synthetic lectins (SLs) in an array format for the differentiation of structurally similar cancer associated glycans and cancer cell lines; discrimination is based on subtle variations in glycosylation patterns. We further demonstrate the utility of our SLs in recognizing glycoproteins with up to 50-fold selectivity, even in 95% human serum. Given their robust and selective nature, these SLs were able to effectively distinguish (a) five structurally similar glycans with 94% accuracy; (b) seven normal, cancerous and metastatic colon cancer cell lines, including three isogenic cell lines, with 92% accuracy; and (c) these same seven cell lines using a guided statistical analysis to improve our analysis to 97% accuracy. In total, these data suggest that an SL-based array will be useful for the diagnosis of cancer.

Identifiers

PMID29051806
PMCPMC5645074
OpenAlexW2021200586

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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.