Evidence map›Paper›PMID 31068807›Full record

ReviewFrontiers in pharmacology2019

The Analysis of Key Factors Related to ADCs Structural Design.

Haichao Tang, Yan Liu, Zhaojin Yu, Mingli Sun, Lu Lin, Wensi Liu, Qiang Han, Minjie Wei, Ying Jin

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

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  18. Multi-targeted immunotherapeutics to treat B cell malignancies.Journal of controlled release : official journal of the Controlled Release Society · 2023
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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

9 authors at 2 institutions in 1 country.

Haichao TangDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Yan LiuLiaoning Research Institute of Family Planning, Shenyang, China.
Zhaojin YuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Mingli SunDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Lu LinDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Wensi LiuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Qiang HanDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Minjie WeiDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Ying JinLiaoning Research Institute of Family Planning, Shenyang, China.
China Medical University · CNLiaoning Planning and Design Institute of Post and Telecommunication · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-drug conjugates (ADCs) have developed rapidly in recent decades. However, it is complicated to map out a perfect ADC that requires optimization of multiple parameters including antigens, antibodies, linkers, payloads, and the payload-linker linkage. The therapeutic targets of the ADCs are expected to express only on the surface of the corresponding target tumor cells. On the contrary, many antigens usually express on normal tissues to some extent, which could disturb the specificity of ADCs and limit their clinical application, not to mention the antibody is also difficult to choose. It requires to not only target and have affinity with the corresponding antigen, but it also needs to have a linkage site with the linker to load the payloads. In addition, the linker and payload are indispensable in the efficacy of ADCs. The linker is required to stabilize the ADC in the circulatory system and is brittle to release free payload while the antibody combines with antigen. Also, it is a premise that the dose of ADCs will not kill normal tissues and the released payloads are able to fulfill the killing potency in tumor cells at the same time. In this review, we mainly focus on the latest development of key factors affecting ADCs progress, including the selection of antibodies and antigens, the optimization of payload, the modification of linker, payload-linker linkage, and some other relevant parameters of ADCs.

Indexed as

antibody–drug conjugateselaborate modification linkersoptimized linker-payload linkageprecision choice antibody and antigenproper payloads

Identifiers

PMID31068807
PMCPMC6491742
OpenAlexW2941798710

What OpenQuestion holds

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Registered trials

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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.