Evidence map›Paper›PMID 41361462›Full record

ArticleCancer cell international2025

Neuro-oncological ventral antigen 1 regulates liver cancer stem cell properties and Lenvatinib resistance via targeting SOX4.

Haibing Lan, Min-Min Sun, Ping-Sheng Zhou, Xin-Yu Liu, Wan-Ying Wei, Kai Lu, Li-Xue Yang

Abstract read
In one paragraph

Article in Cancer cell international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Haibing Lan *Department of Intensive Care Unit, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China. lhb1520@sina.com.
Min-Min Sun *Department of Hepatic Surgery I, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China.
Ping-Sheng Zhou *Department of Ultrasonic Intervention, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China.
Xin-Yu LiuDepartment of Hepatobiliary and Pancreatic (HBP) Surgery, Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Wan-Ying WeiDepartment of Biliary Tract Surgery II, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China.
Kai LuDepartment of Biliary Tract Surgery II, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China. lukaiehbh@163.com.
Li-Xue YangDepartment of Biliary Tract Surgery II, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China. ylx899@yahoo.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells (CSCs) are essentially linked with the pathogenesis of human cancers. It has been reported that RNA binding protein modulates the stemness of CSCs. This investigation identified that in CSCs, NOVA1 is upregulated. Knockdown of NOVA1 inhibits tumorigenesis and self-renew ability of liver CSCs, whereas its forced expression has opposite effects. The mechanistic analysis revealed that in liver CSCs, SOX4 is a direct NOVA1 target. It enhances tumorigenesis and self-renew ability of liver CSCs by increasing SOX4 mRNA stability by combing with the 3-'UTR. Furthermore, NOVA1 overexpression desensitizes hepatocellular carcinoma (HCC) cells to Lenvatinib-mediated cell development suppression and apoptosis. Patients' cohort analysis indicated that low NOVA1 might predict the benefits of Lenvatinib in HCC individuals. Moreover, knocking down SOX4 could reverse the NOVA1 overexpression-mediated desensitization of HCC cells to Lenvatinib-induced cell apoptosis. In summary, this investigation indicates the essential role of NOVA1 self-renew of CSCs and tumorigenesis in the liver, suggesting it as an optimal HCC therapeutic target.

Indexed as

Hepatocellular carcinoma (HCC)LenvatinibLiver cancer stem cellNOVA1SOX4

Identifiers

PMID41361462
PMCPMC12683882

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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.