Evidence map›Paper›PMID 22531443›Full record

ReviewmAbs

The birth pangs of monoclonal antibody therapeutics: the failure and legacy of Centoxin.

Lara Marks

Open access · goldAbstract readReview
In one paragraph

Review in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed, 49 citations in OpenAlex.

  1. Fc-engineering for improved cancer immunotherapy.Biochemical Society transactions · 2026
    Review
  2. Article
  3. Understanding IgM Structure and Biology to Engineer New Antibody Therapeutics.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
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  10. Article
  11. Review
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  14. Nanocarriers as Magic Bullets in the Treatment of Leukemia.Nanomaterials (Basel, Switzerland) · 2020
    Review
  15. Review
  16. Considerations for the Design of Antibody-Based Therapeutics.Journal of pharmaceutical sciences · 2020
    Review
  17. Review
  18. Article
  19. Peak MSC-Are We There Yet?Frontiers in medicine · 2018
    Review
  20. Review
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

1 author at 1 institution in 1 country.

Lara MarksDepartment of Primary Care and Public Health, King's College London, London, UK. Lara.Marks@kcl.ac.uk
King's College School · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper examines the development and termination of nebacumab (Centoxin®), a human IgM monoclonal antibody (mAb) drug frequently cited as one of the notable failures of the early biopharmaceutical industry. The non-approval of Centoxin in the United States in 1992 generated major concerns at the time about the future viability of any mAb therapeutics. For Centocor, the biotechnology company that developed Centoxin, the drug posed formidable challenges in terms of safety, clinical efficacy, patient selection, the overall economic costs of health care, as well as financial backing. Indeed, Centocor's development of the drug brought it to the brink of bankruptcy. This article shows how many of the experiences learned with Centoxin paved the way for the current successes in therapeutic mAb development.

Indexed as

Drug DiscoveryImmunotherapyAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBiopharmaceuticsCosts and Cost AnalysisDrug ApprovalHumansProduct Recalls and WithdrawalsSepsisUnited StatesAntibodies, MonoclonalAntibodies, Monoclonal, Humanizednebacumab

Identifiers

PMID22531443
PMCPMC3355486
OpenAlexW2018740072

What OpenQuestion holds

Textmetadata
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.