Evidence map›Paper›PMID 22245472›Full record

ReviewSeminars in cancer biology2012

Monoclonal antibodies for the treatment of cancer.

Casey W Shuptrine, Rishi Surana, Louis M Weiner

Abstract readReview
In one paragraph

Review in Seminars in cancer biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Engineering Versatile Nanomedicines for Ultrasonic Tumor Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Targeting claudins in cancer: diagnosis, prognosis and therapy.American journal of cancer research · 2021
    Review
  20. Review

16 more citing papers are in PubMed but not listed here.

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

3 authors.

Casey W ShuptrineLombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, United States. cws39@georgetown.edu
Rishi Surana
Louis M Weiner

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
TRAINING GRANT IN TUMOR BIOLOGYT32CA009686 · NCI · GEORGETOWN UNIVERSITY · PI ANNA Tate RIEGEL, DAVID J ROBBINS · 1996 to 2026
$10.8M
TARGETED IMMUNOTHERAPY USING BISPECIFIC ANTIBODIESR01CA050633 · NCI · GEORGETOWN UNIVERSITY · PI WEINER, LOUIS M. · 1989 to 2018
$6.5M
NCI NIH HHS P30 CA051008NCI NIH HHS R01 CA050633NCI NIH HHS T32 CA009686
6 · The paper itself

Abstract

Over the past decade, the clinical utility of monoclonal antibodies has been realized and antibodies are now a mainstay for the treatment of cancer. Antibodies have the unique capacity to target and kill tumor cells while simultaneously activating immune effectors to kill tumor cells through the complement cascade or antibody-dependent cellular cytotoxicity (ADCC). This multifaceted mechanism of action combined with target specificity underlies the capacity of antibodies to elicit anti-tumor responses while minimizing the frequency and magnitude of adverse events. This review will focus on mechanisms of action, clinical applications and putative mechanisms of resistance to monoclonal antibody therapy in the context of cancer.

Indexed as

Antibodies, MonoclonalAntibody-Dependent Cell CytotoxicityCytotoxicity, ImmunologicDrug ResistanceHumansImmunologic FactorsKiller Cells, NaturalNeoplasmsAntibodies, MonoclonalImmunologic Factors

Identifiers

PMID22245472
PMCPMC3288558

What OpenQuestion holds

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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.