Evidence map›Paper›PMID 41219972›Full record

ReviewJournal of biomedical science2025

Technological advancements in antibody-based therapeutics for treatment of diseases.

Ruei-Min Lu, Hsiao-Ling Chiang, Joyce Pei-Yi Yuan, Hsiu-Hua Wang, Chi-Yung Chen, Sushree Shankar Panda, Kang-Hao Liang, Hung-Pin Peng, Shih-Han Ko, Hung-Ju Hsu and 5 more

Abstract readReview
In one paragraph

Review in Journal of biomedical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Semaphorins and Their Role in Neuropathic Pain.Life (Basel, Switzerland) · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Conserved Enzymatic Peptides inInternational journal of molecular sciences · 2026
    Article
  12. Article
  13. Article
  14. Design, build and test of a targeted synthetic protein strategy.Frontiers in bioengineering and biotechnology · 2026
    Article
  15. Review
  16. 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

15 authors.

Ruei-Min LuBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.ORCID http://orcid.org/0000-0003-3792-5499
Hsiao-Ling ChiangBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.ORCID http://orcid.org/0000-0002-8070-3771
Joyce Pei-Yi YuanBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.
Hsiu-Hua WangBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.
Chi-Yung ChenBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.
Sushree Shankar PandaBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.
Kang-Hao LiangBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.ORCID http://orcid.org/0000-0003-3942-0259
Hung-Pin PengBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.
Shih-Han KoBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.ORCID http://orcid.org/0000-0002-7284-4451
Hung-Ju HsuBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.
Monika KumariInstitute of Cellular and Organismic Biology, Academia Sinica, Taipei, 11529, Taiwan.
Yi-Jen SuBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.
Yi-Ting TseBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.
Nai-Lin ChouInstitute of Cellular and Organismic Biology, Academia Sinica, Taipei, 11529, Taiwan.
Han-Chung WuBiomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan. hcw0928@gate.sinica.edu.tw.ORCID http://orcid.org/0000-0002-5185-1169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monoclonal antibodies (mAbs) represent a major class of therapeutics with widespread clinical applications in oncology, immunology, hematology, neurology and infectious disease. Since the introduction of hybridoma technology in 1975, the field has been advanced by a succession of innovations including chimeric and humanized antibody engineering, phage display, transgenic mouse platforms and high-throughput single B cell isolation. These technological developments have enhanced the specificity, potency and safety of mAbs, resulting in 144 FDA-approved antibody drugs on the market and 1,516 worldwide candidates in clinical development as of August 2025. Engineering breakthroughs have led to new modalities of antibody-based therapeutics, such as antibody-drug conjugates (ADCs), bispecific antibodies (bsAbs), and chimeric antigen receptor T (CAR-T) cell therapies. Each of these modalities has therapeutic utility across multiple disease domains. Recent advances in delivery strategies, notably mRNA-lipid nanoparticles (LNPs) and antibody-directed in vivo CAR-T cell reprogramming, can enable precision therapies while reducing off-target effects and manufacturing complexity. The integration of artificial intelligence (AI) and machine learning (ML), next-generation sequencing (NGS), and structural modeling tools has further accelerated antibody discovery, affinity maturation and immunogenicity prediction, allowing for more efficient and rational antibody design. The advances in antibody technology are reflected in the rapid market growth of antibody-based therapeutics, which had global sales exceeding USD 267 billion in 2024. This review provides a comprehensive update on recent developments in antibody discovery platforms, therapeutic formats and market trends, highlighting emerging strategies that are reshaping the landscape of antibody-based medicine. Furthermore, we discuss clinical translation, regulatory landscapes, and the integration of engineering, biology and informatics. Together, these aspects shape a dynamic and multidisciplinary future for the therapeutic antibody field, which is poised to address unmet clinical needs and global healthcare priorities.

Indexed as

Antibodies, MonoclonalAnimalsHumansAntibodies, MonoclonalAntibody-drug conjugates (ADCs)Antibody engineeringAntibody marketAntibody therapeuticsArtificial intelligence (AI)Bispecific antibodies (bsAbs)Chimeric antigen receptor T (cell therapies CAR-T)New modalities

Identifiers

PMID41219972
PMCPMC12606834

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.