Evidence map›Paper›PMID 34110692›Full record

ReviewThe Kaohsiung journal of medical sciences2021

Macrophages as a "weapon" in anticancer cellular immunotherapy.

Dmitry Aminin, Yun-Ming Wang

Open access · goldAbstract readReview
In one paragraph

Review in The Kaohsiung journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 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

2 authors at 2 institutions in 2 countries.

Dmitry AmininG.B. Elyakov Pacific Institute of Bioorganic Chemistry, Vladivostok, Russia.ORCID https://orcid.org/0000-0002-1073-4994
Yun-Ming WangDepartment of Biological Science and Technology, Institute of Molecular Medicine and Bioengineering, Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Kaohsiung Medical University · TWNational Yang Ming Chiao Tung University · TW

Funding

Russian-Taiwanese Joint Research Grant FEBRAS-MOST, Grant/Award Number: 109-2923-009-001, 19-МНТ-017
6 · The paper itself

Abstract

Anticancer immunotherapy is a treatment that activates the immune system to fight the tumor. Immunotherapy has several advantages over other cancer treatments in that anticancer immunotherapy displays high specificity, low side effects, and can combine with various conventional therapies. In recent years, oncologists have shown increasing interest in using macrophages for adoptive cell therapy and predict a bright future of macrophage-directed therapy for eliminating cancer. The focus of increased research interest is the classically activated M1 macrophages exhibiting pronounced tumoricidal activity, and the alternatively activated M2 tumor-associated macrophages, which otherwise help malignant cells evading attack by the immune system. M1 macrophages may represent an effective weapon in anticancer cellular immunotherapy, and the use of autoimmune macrophages properly prepared for antitumor administration is one of the promising ways for personalized therapy of cancer patients. The present report mainly discusses some modern aspects of the problem in application of activated M1 macrophage in anticancer therapy and reviews relevant publications up to 2021.

Indexed as

HumansImmunotherapyMacrophagesNeoplasmsanticancer cellular immunotherapycancerM1 phenotypemacrophages

Identifiers

PMID34110692
PMCPMC11896134
OpenAlexW3167371168

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.