Evidence map›Paper›PMID 26457328›Full record

ArticleBiochemistry and biophysics reports2015

Selection and characterization of high affinity VEGFR1 antibodies from a novel human binary code scFv phage library.

Xiaolei Wang, Hye-Yeong Kim, Brendon Wahlberg, W Barry Edwards

Open access · goldAbstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

4 authors at 2 institutions in 2 countries.

Xiaolei WangMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15219.
Hye-Yeong KimCardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT, 06520.
Brendon WahlbergMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15219.
W Barry EdwardsMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15219.
University of Pittsburgh · USYale University · US

Funding

SELECTIVELY IMAGING CANCER STEM CELLSR21CA159021 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI EDWARDS, WILSON BARRY · 2011 to 2012
$362k
NCI NIH HHS R21 CA159021
6 · The paper itself

Abstract

VEGFR1 is a receptor tyrosine kinase that has been implicated in cancer pathogenesis. It is upregulated in angiogenic endothelial cells and expressed on human tumor cells as well. VEGFR1 positive hematopoietic progenitor cells home to sites of distant metastases prior to the arrival of the tumor cells thus establishing a pre-metastatic niche. To discover high affinity human antibodies selective for VEGFR1 molecular imaging or for molecularly targeted therapy, a novel phage display scFv library was assembled and characterized. The library was constructed from the humanized 4D5 framework that was mostly comprised tyrosine and serine residues in four complimentary determining regions (CDRs). The library produced diverse and functional antibodies against a panel of proteins, some of which are of biomedical interest including, CD44, VEGFA, and VEGFR1. After panning, these antibodies had affinity strong enough for molecular imaging or targeted drug delivery without the need for affinity maturation. One of the anti-VEGFR1 scFvs recognized its cognate receptor and was selective for the VEGFR1.

Indexed as

binary codephage displayphage libraryscFvVEGFR1

Identifiers

PMID26457328
PMCPMC4594834
OpenAlexW1119711276

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.