Evidence map›Paper›PMID 39070179›Full record

ReviewMedComm2024

Antibody-drug conjugates in cancer therapy: mechanisms and clinical studies.

Jun He, Xianghua Zeng, Chunmei Wang, Enwen Wang, Yongsheng Li

Abstract readReview
In one paragraph

Review in MedComm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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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

5 authors.

Jun HeDepartment of General Surgery Jiande Branch of the Second Affiliated Hospital, School of Medicine, Zhejiang University Jiande Zhejiang China.
Xianghua ZengDepartment of Medical Oncology Chongqing University Cancer Hospital Chongqing China.
Chunmei WangDepartment of Medical Oncology Chongqing University Cancer Hospital Chongqing China.
Enwen WangDepartment of Medical Oncology Chongqing University Cancer Hospital Chongqing China.
Yongsheng LiDepartment of Medical Oncology Chongqing University Cancer Hospital Chongqing China.ORCID https://orcid.org/0000-0003-2175-9449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-drug conjugates (ADCs) consist of monoclonal antibodies that target tumor cells and cytotoxic drugs linked through linkers. By leveraging antibodies' targeting properties, ADCs deliver cytotoxic drugs into tumor cells via endocytosis after identifying the tumor antigen. This precise method aims to kill tumor cells selectively while minimizing harm to normal cells, offering safe and effective therapeutic benefits. Recent years have seen significant progress in antitumor treatment with ADC development, providing patients with new and potent treatment options. With over 300 ADCs explored for various tumor indications and some already approved for clinical use, challenges such as resistance due to factors like antigen expression, ADC processing, and payload have emerged. This review aims to outline the history of ADC development, their structure, mechanism of action, recent composition advancements, target selection, completed and ongoing clinical trials, resistance mechanisms, and intervention strategies. Additionally, it will delve into the potential of ADCs with novel markers, linkers, payloads, and innovative action mechanisms to enhance cancer treatment options. The evolution of ADCs has also led to the emergence of combination therapy as a new therapeutic approach to improve drug efficacy.

Indexed as

antibody–drug conjugatescancerclinical trialscluster of differentiationhuman epidermal growth factor receptor 2mechanismresistancetarget antigen

Identifiers

PMID39070179
PMCPMC11283588

What Socratic 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 Socratic graph.