Evidence mapPaperPMID 38766820Full record

ReviewCurrent pharmaceutical biotechnology2025

The Cross-talk of Non-coding RNAs and Inflammation in Human Cancer.

Jiayi Li, Xiaoyong Lei, Xiaoyan Yang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pharmaceutical biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Jiayi LiSchool of Pharmaceutical Science, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, Hunan, 421001, People's Republic of China.
Xiaoyong LeiSchool of Pharmaceutical Science, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, Hunan, 421001, People's Republic of China.
Xiaoyan YangSchool of Pharmaceutical Science, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, Hunan, 421001, People's Republic of China.

Funding

Hengyang City Science and Technology Planning Project 202150063473Scientific Research Project of Hunan Provincial Education Department 21B0438Scientific Research Project of Hunan Provincial Health Commission 202202044140Undergraduate Research-based Learning and Innovative Experimental Program of Hunan Province S202310555105
6 · The paper itself

Abstract

Despite advanced clinical treatment, the mortality rate of cancer patients is high. Recent studies have linked the development of cancer to inflammation. Many cancers are exacerbated by the emergence of inflammatory responses, and non-coding RNAs play an important role in inflammation. Non-coding RNAs include microRNAs, circular RNAs, long-chain noncoding RNAs, etc. The non-coding RNA regulatory network composed of microRNAs, circular RNAs and long-chain non-coding RNAs is involved in the regulatory process of multiple gene expression. They can act on various signaling pathways, such as wnt/β-catenin, nuclear factorkappa B, phosphatidylinositol 3 kinase/ AKT, mitogen-activated protein kinase, and so on. These signaling pathways can control the occurrence of inflammatory response to some extent, such as regulating the expression of inflammatory cytokines (such as interleukin-6, interferongamma, tumor necrosis factor-α, and so on), making them upregulated or down-regulated. Therefore, it is important to study the role of non-coding RNAs in inflammation to contribute to the future of cancer.

Indexed as

InflammationNeoplasmsRNA, UntranslatedAnimalsHumansMicroRNAsRNA, Long NoncodingSignal TransductionMicroRNAsRNA, Long NoncodingRNA, Untranslated3 kinase/ AKT.Cross-Talkhuman cancerinflammationmitogen-activated protein kinasenon-coding RNAs

Identifiers

What Socratic holds

Textmetadata
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.