Evidence map›Paper›PMID 38283733›Full record

ReviewOncoTargets and therapy2024

Crosstalk Between circRNA and Tumor Microenvironment of Hepatocellular Carcinoma: Mechanism, Function and Applications.

Chenxi Xie, Xiaopei Hao, Hao Yuan, Chongyu Wang, Razinah Sharif, Haibo Yu

Abstract readReview
In one paragraph

Review in OncoTargets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Chenxi Xie *Hepatobiliary Center, Department of Hepatobiliary Surgery, People's Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.ORCID 0009-0009-9230-2447
Xiaopei Hao *The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, People's Republic of China.
Hao YuanHepatobiliary Center, Department of Hepatobiliary Surgery, People's Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Chongyu WangThe First Clinical Medical College of Xuzhou Medical University, Xuzhou, People's Republic of China.
Razinah SharifCenter for Healthy Ageing & Wellness, Faculty of Health Sciences, University Kebangsaan Malaysia, Kuala Lumpur, 50300, Malaysia.
Haibo YuHepatobiliary Center, Department of Hepatobiliary Surgery, People's Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common aggressive tumors in the world. Despite the availability of various treatments, its prognosis remains poor due to the lack of specific diagnostic indicators and the high heterogeneity of HCC cases. CircRNAs are noncoding RNAs with stable and highly specific expression. Extensive research evidence suggests that circRNAs mediate the pathogenesis and progression of HCC through acting as miRNA sponges, protein modulators, and translation templates. Tumor microenvironment (TME) has become a hotspot of immune-related research in recent years due to its effects on metabolism, secretion and immunity of HCC. Accordingly, understanding the role played by circRNAs in TME is important for the study of HCC. This review will discuss the crosstalk between circRNAs and TME in HCC. In addition, we will discuss the current deficiencies and controversies in research on circRNAs and predict future research directions.

Indexed as

biomarkercharacteristicsCircRNAshepatocellular carcinomatumor microenvironment

Identifiers

PMID38283733
PMCPMC10812140

What OpenQuestion holds

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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.