Evidence map›Paper›PMID 39992572›Full record

ArticleJournal of neuro-oncology2025

Overexpression of LSR suppresses glioma proliferation and invasion via regulating FOXO3a.

Jinlong Zhu, Tong Wang, Xi Liu, Ting Lu, Jianwei Zhuo, Xiangying Li, Zhengquan Yu, Gang Cui, Haitao Shen

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 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
0cells of the map it votes in
0citing 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

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

9 authors.

Jinlong Zhu *Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Tong Wang *Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Xi Liu *Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Ting LuDepartment of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Jianwei ZhuoDepartment of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Xiangying LiDepartment of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Zhengquan YuDepartment of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Gang CuiDepartment of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu Province, 215006, China. CG_neurosurgery@163.com.
Haitao ShenDepartment of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu Province, 215006, China. dagezi120@126.com.

Funding

Science and Technology Special Fund of Jiangsu Province (Key Research and Development Program for Social Development) BE2023712Suzhou Medical Technology Innovation Project-Clinical Frontier SKY2022002
6 · The paper itself

Abstract

purposeGliomas, the most prevalent type of central nervous system tumors, currently lack effective therapeutic options. Lipolysis-stimulated lipoprotein receptors (LSR) have been implicated in tumor development and progression. This study aims to investigate the influence of LSR on gliomas and elucidate the underlying mechanisms.

methodsWe analyze LSR expression in gliomas and its association with patient prognosis using bioinformatics tools. Western blotting and immunohistochemistry revealed differential expression of LSR across different grades of glioma. The effects of LSR on glioma cell proliferation and invasion are evaluated through a series of cellular assays. Subcutaneous xenografts in nude mice are utilized to assess the impact of LSR on gliomas in vivo. Additionally, western blotting is employed to detect changes in protein levels related to the FOXO3a signaling pathway following LSR overexpression.

resultsLSR expression is higher in tissues from low-grade gliomas compared to those from glioblastomas. Patients with low LSR expression exhibit poorer prognoses. Overexpression of LSR inhibit glioma cell proliferation and invasion. The protein levels of PCNA, Cyclin D1, MMP2, and MMP9 are significantly decreased in the OE-LSR group. Tumor volume is reduced in nude mice injected subcutaneously with LSR-overexpressing glioma cells. Overexpression of LSR increases nuclear FOXO3a level while reduces p-FOXO3a and p-14-3-3 levels. Knockdown of FOXO3a reverse the inhibitory effects of LSR overexpression on glioma cell proliferation and invasion.

conclusionLow LSR expression is associated with adverse prognosis in glioma patients. By modulating FOXO3a, LSR overexpression suppresses glioma cell proliferation and invasion.

Indexed as

Brain NeoplasmsCell ProliferationForkhead Box Protein O3GliomaAnimalsCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMice, Inbred BALB CMice, NudeNeoplasm InvasivenessPrognosisForkhead Box Protein O3FOXO3 protein, humanFOXO3aGliomaInvasionLipolysis-stimulated lipoprotein receptorProliferation

Identifiers

What OpenQuestion 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 OpenQuestion graph.