Evidence map›Paper›PMID 37746253›Full record

ReviewFrontiers in oncology2023

Mechanism of HBx carcinogenesis interaction with non-coding RNA in hepatocellular carcinoma.

Zhuoran Wang, Nan Li, Peng Cai, Cunzhen Zhang, Guangwen Cao, Jianhua Yin

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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

6 authors.

Zhuoran WangDepartment of Hepatic Surgery I (Ward I), Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai, China.
Nan LiDepartment of Hepatic Surgery I (Ward I), Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai, China.
Peng CaiDepartment of Epidemiology, Faculty of Navy Medicine, Navy Medical University, Shanghai, China.
Cunzhen ZhangDepartment of Hepatic Surgery I (Ward I), Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai, China.
Guangwen CaoDepartment of Epidemiology, Faculty of Navy Medicine, Navy Medical University, Shanghai, China.
Jianhua YinDepartment of Epidemiology, Faculty of Navy Medicine, Navy Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is an extremely malignant tumor that affects individuals throughout the world. One of the main causes of HCC is hepatitis B virus (HBV). Therefore, it is crucial to understand the mechanisms underlying HBV carcinogenesis. Increasing evidence suggests that the HBV X protein (HBx), which is encoded by HBV, plays a significant role in cell apoptosis, DNA damage repair, and cell cycle regulation. This ultimately leads to the development of HCC. Additionally, recent studies have shown that non-coding RNA (ncRNA) also contributes to the carcinogenesis and pathogenesis of different of tumors. ncRNA plays a significant role in the formation of HCC by regulating the inflammatory signaling pathway, activating immune cells, and modifying epigenetics. However, it remains unclear whether ncRNA is involved in the regulation of the carcinogenic mechanisms of HBx. This article reviews the carcinogenic mechanism of HBx and its interaction with ncRNA, providing a novel strategy for the clinical diagnosis and treatment of HCC.

Indexed as

HBxhepatitis Bhepatocellular carcinomainteractionnon-coding RNA

Identifiers

PMID37746253
PMCPMC10517716

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.