Evidence map›Paper›PMID 37160813›Full record

ReviewDiscover oncology2023

Advances of exosomal miRNAs in the diagnosis and treatment of ovarian cancer.

Jun Xiong, Fen Fu, Feng Yu, Xiaoju He

Open access · goldAbstract readReview
In one paragraph

Review in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

4 authors at 2 institutions in 1 country.

Jun XiongDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Nanchang University, NanChang, JiangXi, China.
Fen FuDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Nanchang University, NanChang, JiangXi, China.
Feng YuDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Nanchang University, NanChang, JiangXi, China.
Xiaoju HeDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Nanchang University, NanChang, JiangXi, China. 80248385@qq.com.
Nanchang University · CNSecond Affiliated Hospital of Nanchang University · CN

Funding

National Natural Science Foundation of China #81760504Science and technology plan project of Jiangxi Administration of Traditional Chinese Medicine 2021B672Science and Technology Research Project of Education Department of Jiangxi Province 190141the Science and Technology Plan Fund of Jiangxi Provincial Health and Family Planning Commission 202210036
6 · The paper itself

Abstract

Ovarian cancer is a tumor with the highest fatalities among female malignant tumors. This disease has no typical symptoms in its early stage, and most of the patients are in an advanced stage when being treated. The treatment effect is poor and it is easy to develop chemotherapy resistance. Therefore, it is particularly urgent to clarify the pathogenesis of ovarian cancer, explore its early diagnosis of biomarkers, and discover new treatment methods. As a carrier of intercellular information and genetic material transfer, exosomes are widely distributed in body fluids (e.g. blood and urine), which are regarded as latent tumor markers and take effects on tumor occurrence and invasion. Several articles have recently signified that exosomal miRNAs are widely implicated in the formation of the ovarian cancer tumor microenvironment, disease initiation and progression, and the generation of chemotherapy resistance. This article reviews the research on exosomal miRNAs in ovarian cancer.

Indexed as

Exosomal miRNAsHallmarkOvarian cancerTumor microenvironment

Identifiers

PMID37160813
PMCPMC10169985
OpenAlexW4376121546

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.