Evidence map›Paper›PMID 25220345›Full record

ArticleExperimental and molecular pathology2014

A new bispecific antibody targeting non-overlapping epitopes on IGF2: design, in vitro characterization and pharmacokinetics in macaques.

Yang Feng, Qi Zhao, Weizao Chen, Yanping Wang, Karalyne Crowder, Dimiter S Dimitrov

Open access · greenAbstract read
In one paragraph

Article in Experimental and molecular pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Expanding the Boundaries of Biotherapeutics with Bispecific Antibodies.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2018
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

6 authors at 4 institutions in 2 countries.

Yang FengProtein Interactions Group, Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, United States. Electronic address: fengya@mail.nih.gov.
Qi ZhaoShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Guangdong 518000, China.
Weizao ChenProtein Interactions Group, Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, United States.
Yanping WangProtein Interactions Group, Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, United States; Geneva Foundation, 917 Pacific Ave, Suite 600, Tacoma, WA 98402, United States.
Karalyne CrowderSNBL USA, 6605 Merrill Creek Parkway, Everett, WA 98203, United States.
Dimiter S DimitrovProtein Interactions Group, Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, United States.
National Cancer Institute · USCenter for Cancer Research · USChinese Academy of Sciences · CNShin Nippon Biomedical Laboratories (United States) · US

Funding

Human Monoclonal Antibodies Against CancerZIABC010701 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI DIMITROV, DIMITER S · 2009 to 2017
$6.9M
Intramural NIH HHS Z99 CA999999NCI NIH HHS HHSN261200800001ENCI NIH HHS N01-CO-12400
6 · The paper itself

Abstract

The insulin-like growth factor 2 (IGF2) is an important target for cancer therapy. We have previously proposed an approach for fast and irreversible removal of IGF2 from the circulation by using monoclonal antibodies (mAbs) that bind to two or more non-overlapping epitopes on the same molecule. We provided initial evidence for the formation of oligomeric antibody-ligand complexes that can bind to cells expressing Fc gamma receptors (FcγRs) with high avidity using an antibody domain with relatively low affinity as one of the anti-IGF2 mAbs. Recently, we identified a mAb, m708.5, in a scFv format which binds to both IGF2 and IGF1 with very high (pM) affinity. Interestingly, and rather surprisingly, this mAb did not compete with our other high affinity mAb, m610.27, for binding to IGF2. Therefore, we generated a new bispecific mAb, m67, by combining m708.5 and m610.27. As expected m67 potently inhibited binding of IGF2 to cells expressing the IGF1R and its phosphorylation, and resulted in formation of multimolecular complexes when incubated with IGF2 and bound with high avidity to cells expressing FcγRII; the complexes were internalized in a macrophage-like cell line. However, although m67 exhibited a reasonably long half-life (6.4 ± 0.6 days) in cynomolgus macaques and high stability in serum, its administration to three animals did not result in any measurable decrease in the IGF2 concentration likely due to the complexity of the IGF2 interactions in the blood and the relatively low (2mg/kg) dose of the mAb leading to a relatively low maximal blood concentration of 120nM. In spite of the lack of effect on the IGF2 concentration in this particular experimental setup, m67 exhibited good drugability properties and could be highly effective in other animal models and in humans. Studies with animal models of cancer are ongoing to evaluate the potential of m67 as a new candidate mAb-based therapeutic.

Indexed as

AnimalsAntibodies, BispecificAntibodies, MonoclonalAntibody SpecificityAntineoplastic AgentsDrug DesignDrug StabilityEnzyme-Linked Immunosorbent AssayEpitopesEpitopes, B-LymphocyteFemaleFlow CytometryHumansInsulin-Like Growth Factor IIMacaca fascicularisMCF-7 CellsAntibodies, BispecificAntibodies, MonoclonalAntineoplastic AgentsEpitopesEpitopes, B-LymphocyteInsulin-Like Growth Factor IIBispecific antibodiesCynomolgus macaquesHalf-lifeIGF ligand

Identifiers

PMID25220345
PMCPMC4262567
OpenAlexW2073442902

What OpenQuestion holds

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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.