Evidence map›Paper›PMID 29329202›Full record

ReviewCancers2018

EpCAM Immunotherapy versus Specific Targeted Delivery of Drugs.

Joanna Macdonald, Justin Henri, Kislay Roy, Emma Hays, Michelle Bauer, Rakesh Naduvile Veedu, Normand Pouliot, Sarah Shigdar

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

41 citing papers in PubMed, 65 citations in OpenAlex.

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  20. Preclinical evaluation of [European journal of nuclear medicine and molecular imaging · 2022
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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

8 authors at 3 institutions in 1 country.

Joanna MacdonaldSchool of Medicine, Deakin University, Geelong, VIC 3128, Australia. jmmacd@deakin.edu.au.
Justin HenriSchool of Medicine, Deakin University, Geelong, VIC 3128, Australia. jhenri@deakin.edu.au.
Kislay RoySchool of Medicine, Deakin University, Geelong, VIC 3128, Australia. kislay.roy@deakin.edu.au.
Emma HaysSchool of Medicine, Deakin University, Geelong, VIC 3128, Australia. ehays@deakin.edu.au.
Michelle BauerSchool of Medicine, Deakin University, Geelong, VIC 3128, Australia. mbauer@deakin.edu.au.
Rakesh Naduvile VeeduCentre for Comparative Genomics, Murdoch University, Perth, WA 6150, Australia. r.veedu@murdoch.edu.au.
Normand PouliotDepartment of Pathology and University of Melbourne, Melbourne, VIC 3010, Australia. normand.pouliot@onjcri.org.au.
Sarah ShigdarSchool of Medicine, Deakin University, Geelong, VIC 3128, Australia. sarah.shigdar@deakin.edu.au.
Deakin University · AUMurdoch University · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epithelial cell adhesion molecule (EpCAM), or CD326, was one of the first cancer associated biomarkers to be discovered. In the last forty years, this biomarker has been investigated for use in personalized cancer therapy, with the first monoclonal antibody, edrecolomab, being trialled in humans more than thirty years ago. Since then, several other monoclonal antibodies have been raised to EpCAM and tested in clinical trials. However, while monoclonal antibody therapy has been investigated against EpCAM for almost 40 years as primary or adjuvant therapy, it has not shown as much promise as initially heralded. In this review, we look at the reasons why and consider alternative targeting options, such as aptamers, to turn this almost ubiquitously expressed epithelial cancer biomarker into a viable target for future personalized therapy.

Indexed as

antibodyaptamercancerEpCAMimmunotherapytherapeutics

Identifiers

PMID29329202
PMCPMC5789369
OpenAlexW2783023875

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.