Evidence map›Paper›PMID 31852341›Full record

ArticlemAbs

Clinical pharmacology of vc-MMAE antibody-drug conjugates in cancer patients: learning from eight first-in-human Phase 1 studies.

Chunze Li, Cindy Zhang, Zao Li, Divya Samineni, Dan Lu, Bei Wang, Shang-Chiung Chen, Rong Zhang, Priya Agarwal, Bernard M Fine and 1 more

Open access · goldAbstract read
In one paragraph

Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

40 citing papers in PubMed, 53 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. A review of targeted drug delivery with antibody-drug complexes.The Journal of pharmacology and experimental therapeutics · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Immunotherapy for precision medicine in colorectal cancer.Expert review of precision medicine and drug development · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

11 authors.

Chunze LiGenentech Research & Early Development, Genentech, Inc, South San Francisco, CA, USA.
Cindy ZhangGenentech Research & Early Development, Genentech, Inc, South San Francisco, CA, USA.ORCID 0000-0002-0243-7842
Zao LiGenentech Research & Early Development, Genentech, Inc, South San Francisco, CA, USA.
Divya SamineniGenentech Research & Early Development, Genentech, Inc, South San Francisco, CA, USA.ORCID 0000-0001-6300-2044
Dan LuGenentech Research & Early Development, Genentech, Inc, South San Francisco, CA, USA.ORCID 0000-0003-4718-3564
Bei WangGenentech Research & Early Development, Genentech, Inc, South San Francisco, CA, USA.
Shang-Chiung ChenGenentech Research & Early Development, Genentech, Inc, South San Francisco, CA, USA.ORCID 0000-0002-0754-3716
Rong ZhangGenentech Research & Early Development, Genentech, Inc, South San Francisco, CA, USA.ORCID 0000-0001-5107-1974
Priya AgarwalGenentech Research & Early Development, Genentech, Inc, South San Francisco, CA, USA.
Bernard M FineGenentech Research & Early Development, Genentech, Inc, South San Francisco, CA, USA.
Sandhya GirishGenentech Research & Early Development, Genentech, Inc, South San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

vc-MMAE antibody-drug conjugates (ADCs) consist of a monoclonal antibody (mAb) covalently bound with a potent anti-mitotic toxin (MMAE) through a protease-labile valine-citrulline (vc) linker. The objective of this study was to characterize the pharmacokinetics (PK) and explore exposure-response relationships of eight vc-MMAE ADCs, against different targets and for diverse tumor indications, using data from eight first-in-human Phase 1 studies. PK parameters of the three analytes, namely antibody-conjugated MMAE (acMMAE), total antibody, and unconjugated MMAE, were estimated using non-compartmental approaches and compared across the eight vc-MMAE ADCs. Relationships between analytes were assessed by linear regression. Exposure-response relationships were explored with key efficacy (objective response rate) and safety (Grade 2+ peripheral neuropathy) endpoints. PK profiles of acMMAE, total antibody and unconjugated MMAE following the first dose of 2.4 mg/kg were comparable across the eight ADCs; the exposure differences between molecules were small relative to the inter-subject variability. acMMAE exposure was strongly correlated with total antibody exposure for all the eight ADCs, but such correlation was less evident between acMMAE and unconjugated MMAE exposure. For multiple ADCs evaluated, efficacy and safety endpoints appeared to correlate well with acMMAE exposure, but not with unconjugated MMAE over the doses tested. PK of vc-MMAE ADCs was well characterized and demonstrated remarkable similarity at 2.4 mg/kg across the eight ADCs. Results from analyte correlation and exposure-response relationship analyses suggest that measurement of acMMAE analyte alone might be adequate for vc-MMAE ADCs to support the clinical pharmacology strategy used during late-stage clinical development.

Indexed as

Antimitotic AgentsAntineoplastic Agents, ImmunologicalClinical Trials, Phase I as TopicHumansImmunoconjugatesImmunotherapyNeoplasmsAntimitotic AgentsAntineoplastic Agents, ImmunologicalImmunoconjugatesAntibody–drug conjugateexposure–response analysisfirst-in-human studiespharmacokineticsvc-MMAE ADCs

Identifiers

PMID31852341
PMCPMC6927763
OpenAlexW2996283129

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.