Evidence map›Paper›PMID 25819764›Full record

ReviewTrends in biotechnology2015

Selection strategies for anticancer antibody discovery: searching off the beaten path.

David Sánchez-Martín, Morten Dræby Sørensen, Simon Lykkemark, Laura Sanz, Peter Kristensen, Erkki Ruoslahti, Luis Álvarez-Vallina

Open access · greenAbstract readReview
In one paragraph

Review in Trends in biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Ligand Engineering via Yeast Surface Display and Adherent Cell Panning.Methods in molecular biology (Clifton, N.J.) · 2020
    Article
  7. Article
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  11. Article
  12. Engineering Platforms for T Cell Modulation.International review of cell and molecular biology · 2018
    Review
  13. Article
  14. Review
  15. 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

7 authors at 4 institutions in 3 countries.

David Sánchez-MartínLaboratory of Cellular Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Morten Dræby SørensenSpanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; Department of Molecular Biology and Genetics, Aarhus University, 8000C Aarhus, Denmark.
Simon LykkemarkDepartment of Clinical Medicine, Aarhus University, 8000C Aarhus, Denmark; Sino-Danish Center, Aarhus University, 8000C Aarhus, Denmark.
Laura SanzMolecular Immunology Unit, Hospital Universitario Puerta de Hierro, Madrid, Majadahonda, 28222 Spain.
Peter KristensenDepartment of Engineering, Aarhus University, 8000C Aarhus, Denmark.
Erkki RuoslahtiCancer Center, Sanford-Burnham Medical Research Institute, La Jolla, CA 92037, USA; Center for Nanomedicine, University of California Santa Barbara, CA 93106, USA; Department of Cell, Molecular, and Developmental Biology, University of California Santa Barbara, CA 93106, USA.
Luis Álvarez-VallinaMolecular Immunology Unit, Hospital Universitario Puerta de Hierro, Madrid, Majadahonda, 28222 Spain; Department of Engineering, Aarhus University, 8000C Aarhus, Denmark. Electronic address: lav@eng.au.dk.
Aarhus University · DKCenter for Cancer Research · USHospital Universitario Puerta de Hierro Majadahonda · ESSanford Burnham Prebys Medical Discovery Institute · US

Funding

A nanosystem for tumor treatment and imagingR01CA188883 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI RUOSLAHTI, ERKKI · 2014 to 2018
$2.0M
NCI NIH HHS R01 CA188883
6 · The paper itself

Abstract

Antibody-based drugs represent one of the most successful and promising therapeutic approaches in oncology. Large combinatorial phage antibody libraries are available for the identification of therapeutic antibodies and various technologies exist for their further conversion into multivalent and multispecific formats optimized for the desired pharmacokinetics and the pathological context. However, there is no technology for antigen profiling of intact tumors to identify tumor markers targetable with antibodies. Such constraints have led to a relative paucity of tumor-associated antigens for antibody targeting in oncology. Here we review novel approaches aimed at the identification of antibody-targetable, accessible antigens in intact tumors. We hope that such advanced selection approaches will be useful in the development of next-generation antibody therapies for cancer.

Indexed as

AnimalsAntibodies, MonoclonalAntibodies, NeoplasmAntigens, NeoplasmAntineoplastic AgentsCell Surface Display TechniquesDrug DiscoveryHumansMedical OncologyNeoplasmsTumor MicroenvironmentAntibodies, MonoclonalAntibodies, NeoplasmAntigens, NeoplasmAntineoplastic Agentsadvanced phage selectionsphage displaytherapeutic antibodiestumor-associated antigens

Identifiers

PMID25819764
PMCPMC5362106
OpenAlexW2002674291

What OpenQuestion holds

Textmetadata
LicenceTDM
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.