Cited by 1,382Monoclonal and Polyclonal Antibodies ResearchBiosimilars and Bioanalytical MethodsRadiopharmaceutical Chemistry and Applications

Therapeutic antibodies: successes, limitations and hopes for the future

Open access
Chames, Patrick, Van Regenmortel, Marc, Weiss, Etienne, Baty, Daniel·2009·British Journal of Pharmacology

Abstract

With more than 20 molecules in clinical use, monoclonal antibodies have finally come of age as therapeutics, generating a market value of $11 billion in 2004, expected to reach $26 billion by 2010. While delivering interesting results in the treatment of several major diseases including autoimmune, cardiovascular and infectious diseases, cancer and inflammation, clinical trials and research are generating a wealth of useful information, for instance about associations of clinical responses with Fc receptor polymorphisms and the infiltration and recruitment of effector cells into targeted tissues. Some functional limitations of therapeutic antibodies have come to light such as inadequate pharmacokinetics and tissue accessibility as well as impaired interactions with the immune system, and these deficiencies point to areas where additional research is needed. This review aims at giving an overview of the current state of the art and describes the most promising avenues that are being followed to create the next generation of antibody‐based therapeutic agents. This article is part of a themed section on Vector Design and Drug Delivery. For a list of all articles in this section see the end of this paper, or visit: http://www3.interscience.wiley.com/journal/121548564/issueyear?year=2009

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1476-5381.2009.00190.x

Cites

86 of 86 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Both serum- and mAb-based therapeutics are costly to produce, store, and deliver as they require a cold supply chain and are often administered intravenously.

    “both serum‐ and mAb‐based therapeutics are costly to produce, store, and deliver as they require a cold supply chain and are often administered intravenously (Chames et al, 2009; Keizer et al, 2010).”

    From mRNA mediates passive vaccination against infectious agents, toxins, and tumors (2017) · cites this paper as Chames et al, 2009

    The Current limitations section (page unavailable) says therapeutic mAbs have extremely high production costs and are injected in large amounts. It does not establish that serum-based therapeutics share those costs, or that either type requires a cold supply chain, is costly to store and deliver, or is often administered intravenously. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Monoclonal antibody modes of action have major limitations, including redundancy of molecular pathways leading to cancer cell survival, effects of the microenvironment, suboptimal interaction with effector cells due to alternative Fc glycosylation or Fc receptor polymorphism, activation of inhibitory receptors, and competition with circulating IgG.

    “limitations in their modes of action, including redundancy of molecular pathways leading to cancer cell survival, effects of the microenvironment, suboptimal interaction with effector cells due to alternative Fc glycosylation or Fc receptor polymorphism, activation of inhibitory receptors, and competition with circulating IgG. 2”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Chames, P., Van Regenmortel, M., Weiss, E., & Baty, D.
Affiliations
Centre National de la Recherche Scientifique (FR)
Corresponding author
Chames, Patrick
Venue
British Journal of Pharmacology
Publisher
Wiley
Published
2009-04-28
Volume
157
Issue
2
Pages
220-233
ISSN
  • 0007-1188 (ISSN-L)
  • 1476-5381
OpenAlex
W1580407891
Cited by
1,382
References
86
Citations by year
2026: 52 · 2025: 98 · 2024: 90 · 2023: 104 · 2022: 90 · 2021: 125 · 2020: 142 · 2019: 110 · 2018: 111 · 2017: 99 · 2016: 97 · 2015: 88 · 2014: 62 · 2013: 45 · 2012: 20
FWCI
3.39
Type
journal article
Language
en
Open access
Locations
  • British Journal of Pharmacology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
  • Life Sciences › Immunology and Microbiology › Immunology › Biosimilars and Bioanalytical Methods
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiopharmaceutical Chemistry and Applications
Keywords
therapeutic antibodies, monoclonal antibodies, Fc receptor polymorphism, pharmacokinetics, immune interactions, antibody engineering, drug delivery, autoimmune disease, cancer therapy, inflammation
MeSH terms
Animals, Antibodies, Monoclonal, Genetic Vectors, Humans, Models, Molecular, Mice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review