Evidence map›Paper›PMID 40521241›Full record

ArticleNon-coding RNA research2025

Exosome-derived hsa_circ_0007132 promotes lenvatinib resistance by inhibiting the ubiquitin-mediated degradation of NONO.

Mingbo Cao, Yuxuan Li, Xiaorui Su, Yongchang Tang, Feng Yuan, Yupeng Ren, Meihai Deng, Zhicheng Yao

Abstract read
In one paragraph

Article in Non-coding RNA research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Review
  3. Review
  4. 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.

Mingbo CaoDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Yuxuan LiDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Xiaorui SuDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Yongchang TangDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, China.
Feng YuanDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Yupeng RenDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Meihai DengDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Zhicheng YaoDepartment of Hepatobiliary & Pancreatic Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a highly heterogeneous solid tumor, with its incidence showing a troubling upward trend over the past decade. Lenvatinib is one of the first-line medications for treating advanced HCC, however, the development of resistance significantly undermines its potential to improve patient prognosis. In recent years, exosomal circRNAs have been implicated in the resistance mechanisms of various cancers, yet their role in mediating lenvatinib resistance (LR) remains largely unexplored. In this study, we identified hsa_circ_0007132, which is upregulated in the serum exosomes of HCC patients exhibiting progressive disease (PD) following lenvatinib treatment. Subsequently, we employed LR cell lines to conduct both

Indexed as

Circular RNAsHepatocellular carcinomaLenvatinib resistanceNONO

Identifiers

PMID40521241
PMCPMC12166744

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.