Evidence mapPaperPMID 34503246Full record

ReviewCancers2021

Crosstalk between Environmental Inflammatory Stimuli and Non-Coding RNA in Cancer Occurrence and Development.

Tingting Xu, Mengyan Xie, Xinming Jing, Jiahua Cui, Xi Wu, Yongqian Shu

Abstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Oncogenic role ofTranslational cancer research · 2024
    Article
  4. Review
  5. Review
  6. Article
  7. Article
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

6 authors.

Tingting XuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210003, China.
Mengyan XieDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210003, China.
Xinming JingDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210003, China.
Jiahua CuiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210003, China.
Xi WuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210003, China.
Yongqian ShuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210003, China.ORCID 0000-0003-0802-1677

Funding

National Major Science and Technology Projects of China 2017YFC1309201National Natural Science Foundation of China No. 81672896the Postgraduate Research & Practice Innovation Program of Jiangsu Province JX10213643
6 · The paper itself

Abstract

There is a clear relationship between inflammatory response and different stages of tumor development. Common inflammation-related carcinogens include viruses, bacteria, and environmental mutagens, such as air pollutants, toxic metals, and ultraviolet light. The expression pattern of ncRNA changes in a variety of disease conditions, including inflammation and cancer. Non-coding RNAs (ncRNAs) have a causative role in enhancing inflammatory stimulation and evading immune responses, which are particularly important in persistent pathogen infection and inflammation-to-cancer transformation. In this review, we investigated the mechanism of ncRNA expression imbalance in inflammation-related cancers. A better understanding of the function of inflammation-associated ncRNAs may help to reveal the potential of ncRNAs as a new therapeutic strategy.

Indexed as

cancercircRNAenvironmentinflammationlncRNAmiRNAncRNA

Identifiers

PMID34503246
PMCPMC8430834

What Socratic 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 Socratic graph.