Evidence map›Paper›PMID 38802952›Full record

ReviewJournal of translational medicine2024

Extracellular vesicles in cancer cachexia: deciphering pathogenic roles and exploring therapeutic horizons.

Yifeng Wang, Shengguang Ding

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Physical Activity, Exerkines, and Their Role in Cancer Cachexia.International journal of molecular sciences · 2025
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. 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

2 authors.

Yifeng WangDepartment of Thoracic Surgery, Affiliated Hospital 2 of Nantong University, Nantong First People's Hospital, Nantong, 226001, P.R. China.
Shengguang DingDepartment of Thoracic Surgery, Affiliated Hospital 2 of Nantong University, Nantong First People's Hospital, Nantong, 226001, P.R. China. shengguangding@ntu.edu.cn.ORCID 0009-0000-9897-6789

Funding

China Postdoctoral Science Foundation 2022M721725National Natural Science Foundation of China 82103021
6 · The paper itself

Abstract

Cancer cachexia (CC) is a debilitating syndrome that affects 50-80% of cancer patients, varying in incidence by cancer type and significantly diminishing their quality of life. This multifactorial syndrome is characterized by muscle and fat loss, systemic inflammation, and metabolic imbalance. Extracellular vesicles (EVs), including exosomes and microvesicles, play a crucial role in the progression of CC. These vesicles, produced by cancer cells and others within the tumor environment, facilitate intercellular communication by transferring proteins, lipids, and nucleic acids. A comprehensive review of the literature from databases such as PubMed, Scopus, and Web of Science reveals insights into the formation, release, and uptake of EVs in CC, underscoring their potential as diagnostic and prognostic biomarkers. The review also explores therapeutic strategies targeting EVs, which include modifying their release and content, utilizing them for drug delivery, genetically altering their contents, and inhibiting key cachexia pathways. Understanding the role of EVs in CC opens new avenues for diagnostic and therapeutic approaches, potentially mitigating the syndrome's impact on patient survival and quality of life.

Indexed as

CachexiaExtracellular VesiclesNeoplasmsAnimalsHumansAdipose atrophyCancer cachexiaExtracellular vesiclesMuscle wastingSystemic inflammationTherapeutic agents

Identifiers

PMID38802952
PMCPMC11129506

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.