Evidence map›Paper›PMID 38172594›Full record

ReviewExperimental & molecular medicine2024

Modification of immune cell-derived exosomes for enhanced cancer immunotherapy: current advances and therapeutic applications.

Inseong Jung, Sanghee Shin, Moon-Chang Baek, Kyungmoo Yea

Abstract readReview
In one paragraph

Review in Experimental & molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

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14 more citing papers are in PubMed but not listed here.

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.

Inseong Jung *Department of New Biology, DGIST, Daegu, 42988, Republic of Korea.
Sanghee Shin *Department of New Biology, DGIST, Daegu, 42988, Republic of Korea.
Moon-Chang BaekDepartment of Molecular Medicine, CMRI, Exosome Convergence Research Center (ECRC), School of Medicine, Kyungpook National University, Daegu, 41944, Republic of Korea. mcbaek@knu.ac.kr.ORCID 0000-0002-4266-1048
Kyungmoo Yea *Department of New Biology, DGIST, Daegu, 42988, Republic of Korea. ykm31@dgist.ac.kr.

Funding

Ministry of Science, ICT and Future Planning (MSIP) 21-DGRIP-01National Research Foundation (NRF) 2020M3A9I4039539
6 · The paper itself

Abstract

Cancer immunotherapy has revolutionized the approach to cancer treatment of malignant tumors by harnessing the body's immune system to selectively target cancer cells. Despite remarkable advances, there are still challenges in achieving successful clinical responses. Recent evidence suggests that immune cell-derived exosomes modulate the immune system to generate effective antitumor immune responses, making them a cutting-edge therapeutic strategy. However, natural exosomes are limited in clinical application due to their low drug delivery efficiency and insufficient antitumor capacity. Technological advancements have allowed exosome modifications to magnify their intrinsic functions, load different therapeutic cargoes, and preferentially target tumor sites. These engineered exosomes exert potent antitumor effects and have great potential for cancer immunotherapy. In this review, we describe ingenious modification strategies to attain the desired performance. Moreover, we systematically summarize the tumor-controlling properties of engineered immune cell-derived exosomes in innate and adaptive immunity. Collectively, this review provides a comprehensive and intuitive guide for harnessing the potential of modified immune cell-derived exosome-based approaches, offering valuable strategies to enhance and optimize cancer immunotherapy.

Indexed as

ExosomesNeoplasmsAdaptive ImmunityHumansImmune SystemImmunotherapy

Identifiers

PMID38172594
PMCPMC10834411

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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.