Evidence map›Paper›PMID 41910914›Full record

ArticleBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy2026

The Market for Monoclonal Antibodies: Trends, Challenges, and Opportunities.

André Soares Motta-Santos, Kenya Valéria Micaela de Souza Noronha, Leonardo Costa Ribeiro, Jeffrey Gow, Khorshed Alam, Mônica Viegas Andrade

Abstract read
In one paragraph

Article in BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

André Soares Motta-SantosSchool of Business at the University of Southern Queensland (UniSQ), Toowoomba, QLD, Australia. Andre.Motta-Santos@unisq.edu.au.ORCID http://orcid.org/0000-0002-2856-7100
Kenya Valéria Micaela de Souza NoronhaDepartment of Economics, Center for Development and Regional Planning (CEDEPLAR), Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID http://orcid.org/0000-0002-7174-6710
Leonardo Costa RibeiroDepartment of Economics, Center for Development and Regional Planning (CEDEPLAR), Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID http://orcid.org/0000-0002-7772-9313
Jeffrey GowSchool of Business at the University of Southern Queensland (UniSQ), Toowoomba, QLD, Australia.ORCID http://orcid.org/0000-0002-5726-298X
Khorshed AlamSchool of Business at the University of Southern Queensland (UniSQ), Toowoomba, QLD, Australia.ORCID http://orcid.org/0000-0003-2232-0745
Mônica Viegas AndradeDepartment of Economics, Center for Development and Regional Planning (CEDEPLAR), Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID http://orcid.org/0000-0002-6821-1598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study examines the monoclonal antibody innovation landscape through patent activity and market data.

methodsA dedicated dataset was constructed by linking multiple sources (Antibody Society, Orange Book, Ark Patent Intelligence, US Patent and Trademark Office, PATSTAT, Purple Book, US Veterans Affairs, US-FDA, and ORBIS), covering patents registered between 1986 and 2019. Data analysis comprised six components: (i) a general description of the dataset, (ii) an examination of monoclonal antibody patents and approval trends, (iii) an analysis of therapeutic indications, (iv) a characterization of patent holders and producers through descriptive and network analyses, (v) an assessment of shareholder influence, including common-ownership patterns, and (vi) an evaluation of monoclonal antibody prices.

resultsThe dataset included 63 monoclonal antibodies, 1732 unique patents, 89 active pharmaceutical ingredients, 34 producers, and 214 therapeutic indications, of which 36.5% were single indication, while the average number of secondary indications was 3.78. Roche, Johnson & Johnson, Eli Lilly, Amgen, and Novartis led reference medicine production, while Amgen and Pfizer were notable in biosimilars, with only five companies producing both. Shareholders such as BlackRock, UBS, Vanguard, and JPMorgan exerted strong market influence in monoclonal antibody production. Prices were extremely high, averaging US$127,430 per course or year (s = US$142,509), with 42.1% of monoclonal antibodies priced above US$100,000.

conclusionsWhile monoclonal antibodies have transformed modern medicine and improved safety and effectiveness, their persistently high prices, reinforced by market concentration and financial investor influence, raise serious concerns for equity and social welfare.

Indexed as

Antibodies, MonoclonalDrug IndustryBiosimilar PharmaceuticalsDrug ApprovalHumansPatents as TopicUnited StatesAntibodies, MonoclonalBiosimilar Pharmaceuticals

Identifiers

PMID41910914
PMCPMC13212775

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.