Evidence map›Paper›PMID 39666264›Full record

ReviewAdvances in experimental medicine and biology2025

A Comprehensive Review of the Mechanisms and Clinical Development of Monoclonal Antibodies in Cancer Therapy.

Selen Gencsoy Eker, Gizem Inetas Yengin, Cansu Tatar, Gulperi Oktem

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Selen Gencsoy Eker *Department of Stem Cell, Graduate School of Health Sciences, Ege University, Izmir, Turkey.ORCID https://orcid.org/0009-0006-6660-8176
Gizem Inetas Yengin *Department of Genetics and Bioengineering, Yeditepe University, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-9421-651X
Cansu Tatar *Department of Molecular Biology and Genetics, Yildiz Technical University, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-1135-2840
Gulperi OktemDepartment of Stem Cell, Graduate School of Health Sciences, Ege University, Izmir, Turkey. gulperi.oktem@ege.edu.tr.ORCID https://orcid.org/0000-0003-1914-2503

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is still the disease that ranks first in human mortality in the twenty-first century. In the last 20 years, the concept of molecular targeted therapy has come to the fore with the use of small molecule agents or signal transduction inhibitors that show anticancer effects for certain types of cancer. Monoclonal antibodies, which have a therapeutic effect, especially by providing signal transduction inhibition, are used clinically as first-line treatment in various types of cancer. Molecular targeted therapies are critical for eliminating the adverse effects and drug resistance problems that occur in traditional cancer treatments. This review summarizes current information on various targeted therapeutic agents, including the structure and classification of monoclonal antibodies, their production methods and mechanisms of action, the monoclonal antibodies used in clinical trials, the complement system mechanism and cancer relationship, and the relationship between complement-dependent cytotoxicity and monoclonal antibodies.

Indexed as

Antibodies, MonoclonalAntineoplastic Agents, ImmunologicalNeoplasmsAnimalsComplement System ProteinsHumansMolecular Targeted TherapyAntibodies, MonoclonalAntineoplastic Agents, ImmunologicalComplement System ProteinsCancer immunotherapyComplement-dependent cytotoxicityMonoclonal antibodyTarget therapy

Identifiers

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.