Evidence map›Paper›PMID 37234976›Full record

ReviewFrontiers in oncology2023

Role of exosomal noncoding RNA in esophageal carcinoma.

Mao-Yan Si, Ding-Yu Rao, Yao Xia, Cheng-Peng Sang, Kai-Yun Mao, Xiang-Jin Liu, Zu-Xiong Zhang, Zhi-Xian Tang

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Cancer/Testis Antigens as Targets for RNA-Based Anticancer Therapy.International journal of molecular sciences · 2023
    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

8 authors.

Mao-Yan SiFirst Clinical Medical College, Gannan Medical University, Ganzhou, China.
Ding-Yu RaoDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Yao XiaFirst Clinical Medical College, Gannan Medical University, Ganzhou, China.
Cheng-Peng SangDepartment of Cardiothoracic Surgery, The Affiliated Huaian Hospital of Xuzhou Medical University, Huai'an, Jiangsu, China.
Kai-Yun MaoFirst Clinical Medical College, Gannan Medical University, Ganzhou, China.
Xiang-Jin LiuFirst Clinical Medical College, Gannan Medical University, Ganzhou, China.
Zu-Xiong ZhangDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Zhi-Xian TangDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer is a common malignant tumor with a high degree of malignancy. Understanding its pathogenesis and identifying early diagnostic biomarkers can significantly improve the prognosis of esophageal cancer patients. Exosomes are small double-membrane vesicles found in various body fluids containing various components (DNA, RNA, and proteins) that mediate intercellular signal communication. Non-coding RNAs are a class of gene transcription products that encode polypeptide functions and are widely detected in exosomes. There is growing evidence that exosomal non-coding RNAs are involved in cancer growth, metastasis and angiogenesis, and can also be used as diagnostic and prognostic markers. This article reviews the recent progress in exosomal non-coding RNAs in esophageal cancer, including research progress, diagnostic value, proliferation, migration, invasion, and drug resistance, provide new ideas for the precise treatment of esophageal cancer.

Indexed as

esophageal cancerexosomesIncRNAmiRNAprospects

Identifiers

PMID37234976
PMCPMC10206631

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.