Evidence map›Paper›PMID 21481526›Full record

ReviewCancer letters2011

Antibody-DM1 conjugates as cancer therapeutics.

Manu Lopus

Open access · greenAbstract readReview
In one paragraph

Review in Cancer letters, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. A novel HPβCD-Cu(DDC)Scientific reports · 2025
    Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Antibody drug conjugates: hitting the mark in pancreatic cancer?Journal of experimental & clinical cancer research : CR · 2023
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  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

1 author at 1 institution in 1 country.

Manu LopusDepartment of Molecular, Cellular, and Developmental Biology, and the Neuroscience Research Institute, University of California, Santa Barbara, CA 93106, USA. manu.lopus@lifesci.ucsb.edu
University of California, Santa Barbara · US

Funding

Mechanism &Control of Brain Microtubule DynamicsR01NS013560 · NINDS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI WILSON, LESLIE · 1985 to 2009
$2.9M
NINDS NIH HHS NS13560NINDS NIH HHS R01 NS013560
6 · The paper itself

Abstract

Synthetic derivatives of the microtubule-targeted agent maytansine, commonly known as drug maytansinoids or DMs, are emerging as potential cancer therapeutics. DM1 is an antibody-conjugatable maytansinoid that was developed to overcome systemic toxicity associated with maytansine and to enhance tumor-specific delivery. Antibody-DM1 conjugates showed promising results in preclinical and clinical evaluations. However, the molecular mechanism of the drug component DM1 was largely unknown. Recently, researchers have examined the mechanism of DM1 at molecular and cellular levels. According to their findings, DM1 binds at the tips of microtubules and suppresses the dynamicity of microtubules. The antibody-DM1 conjugate cleaves inside cells and releases the active drug in a time-dependent manner. The suppression of microtubule dynamics by DM1 induces mitotic arrest and cell death.

Indexed as

AntibodiesAntineoplastic AgentsCell Line, TumorHumansImmunoconjugatesMaytansineMicrotubulesNeoplasmsAntibodiesAntineoplastic AgentsImmunoconjugatesMaytansine

Identifiers

PMID21481526
PMCPMC3105156
OpenAlexW2095110281

What OpenQuestion holds

Textmetadata
LicenceTDM
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.