Evidence map›Paper›PMID 38434801›Full record

ReviewBreast cancer (Dove Medical Press)2024

Antibody-Drug Conjugates in Breast Cancer: A Comprehensive Review of How to Selectively Deliver Payloads.

Mariana Ribeiro Monteiro, Natalia Cristina Cardoso Nunes, Aumilto Augusto da Silva Junior, Angelo Bezerra de Souza Fêde, Gustavo de Oliveira Bretas, Cristiano de Pádua Souza, Max Mano, Jesse Lopes da Silva

Abstract readReview
In one paragraph

Review in Breast cancer (Dove Medical Press), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. 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

8 authors.

Mariana Ribeiro MonteiroInstituto Americas, São Paulo, Brazil.ORCID 0000-0001-9552-6977
Natalia Cristina Cardoso NunesInstituto Americas, Rio de Janeiro, Brazil.
Aumilto Augusto da Silva JuniorHospital Santa Catarina Paulista, São Paulo, Brazil.
Angelo Bezerra de Souza FêdeDASA Oncologia, São Paulo, Brazil.
Gustavo de Oliveira BretasGrupo Oncoclínicas, Rio de Janeiro, Brazil.
Cristiano de Pádua SouzaHospital do Câncer de Barretos, São Paulo, Brazil.
Max ManoGrupo Oncoclínicas, São Paulo, Brazil.
Jesse Lopes da SilvaGrupo Oncoclínicas, Rio de Janeiro, Brazil.ORCID 0000-0002-0790-9917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-drug conjugates (ADCs) have surfaced as a promising group of anticancer agents employing the precise targeting capacity of monoclonal antibodies to transport highly effective cytotoxic payloads. Compared to conventional chemotherapy, they aim to selectively eradicate cancer cells while minimizing off-target toxicity on healthy tissues. An increasing body of evidence has provided support for the efficacy of ADCs in treating breast cancer across various contexts and tumor subtypes, resulting in significant changes in clinical practice. Nevertheless, unlocking the full potential of these therapeutic agents demands innovative molecular designs to address complex clinical challenges, including drug resistance, tumor heterogeneity, and treatment-related adverse events. This thorough review provides an in-depth analysis of the clinical data on ADCs, offering crucial insights from pivotal clinical trials that assess the efficacy of ADCs in diverse breast cancer settings. This aids in providing a comprehensive understanding of the current state of ADCs in breast cancer therapy, while also providing valuable perspectives for the future.

Indexed as

ADCsantibody–drug conjugatesbreast cancercancer therapytarget therapy

Identifiers

PMID38434801
PMCPMC10909371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.