Evidence map›Paper›PMID 36046842›Full record

ReviewExploration of targeted anti-tumor therapy2022

Antibody-drug conjugates: beyond current approvals and potential future strategies.

Siddharth Menon, Sagun Parakh, Andrew M Scott, Hui K Gan

Open access · diamondAbstract readReview
In one paragraph

Review in Exploration of targeted anti-tumor therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Siddharth MenonOlivia Newton-John Cancer Centre at Austin Health, Olivia Newton-John Cancer Wellness & Research Centre, Heidelberg Victoria 3084, Australia.ORCID https://orcid.org/0000-0003-3863-6445
Sagun ParakhOlivia Newton-John Cancer Centre at Austin Health, Olivia Newton-John Cancer Wellness & Research Centre, Heidelberg Victoria 3084, Australia.ORCID https://orcid.org/0000-0003-3891-2489
Andrew M ScottOlivia Newton-John Cancer Centre at Austin Health, Olivia Newton-John Cancer Wellness & Research Centre, Heidelberg Victoria 3084, Australia.ORCID https://orcid.org/0000-0002-6656-295X
Hui K GanOlivia Newton-John Cancer Centre at Austin Health, Olivia Newton-John Cancer Wellness & Research Centre, Heidelberg Victoria 3084, Australia.ORCID https://orcid.org/0000-0001-7319-8546
La Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent approvals for antibody-drug conjugates (ADCs) in multiple malignancies in recent years have fuelled the ongoing development of this class of drugs. These novel agents combine the benefits of high specific targeting of oncogenic cell surface antigens with the additional cell kill from high potency cytotoxic payloads, thus achieving wider therapeutic windows. This review will summarise the clinical activity of ADCs in tumour types not covered elsewhere in this issue, such as gastrointestinal (GI) and genitourinary (GU) cancers and glioblastoma (GBM). In addition to the ongoing clinical testing of existing ADCs, there is substantial preclinical and early phase testing of newer ADCs or ADC incorporating strategies. This review will provide selected insights into such future development, focusing on the development of novel ADCs against new antigen targets in the tumour microenvironment (TME) and combination of ADCs with immuno-oncology (IO) agents.

Indexed as

Antibody-drug conjugatesimmunotherapytumour microenvironment

Identifiers

PMID36046842
PMCPMC9400743
OpenAlexW4225008544

What OpenQuestion 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 OpenQuestion graph.