Evidence map›Paper›PMID 38976072›Full record

ArticleJournal of cancer research and clinical oncology2024

FERMT1 suppression induces anti-tumor effects and reduces stemness in glioma cancer cells.

Zhigang Pan, Chuhan Ke, Hanlin Zheng, Xiumei Guo, Wen Gao, Xinyue Huang, Chunhui Chen, Yu Xiong, Shuni Zheng, Feng Zheng and 1 more

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Zhigang PanDepartment of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, 34# zhongshan North Road, Quanzhou, Fujian, 362000, China.
Chuhan KeDepartment of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, 34# zhongshan North Road, Quanzhou, Fujian, 362000, China.
Hanlin ZhengDepartment of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, 34# zhongshan North Road, Quanzhou, Fujian, 362000, China.
Xiumei GuoDepartment of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, 34# zhongshan North Road, Quanzhou, Fujian, 362000, China.
Wen GaoDepartment of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, 34# zhongshan North Road, Quanzhou, Fujian, 362000, China.
Xinyue HuangDepartment of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, 34# zhongshan North Road, Quanzhou, Fujian, 362000, China.
Chunhui ChenDepartment of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, 34# zhongshan North Road, Quanzhou, Fujian, 362000, China.
Yu XiongDepartment of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, 34# zhongshan North Road, Quanzhou, Fujian, 362000, China.
Shuni ZhengDepartment of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, 34# zhongshan North Road, Quanzhou, Fujian, 362000, China. 303515771@163.com.
Feng ZhengDepartment of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, 34# zhongshan North Road, Quanzhou, Fujian, 362000, China. dr.feng.zheng@gmail.com.
Weipeng HuDepartment of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, 34# zhongshan North Road, Quanzhou, Fujian, 362000, China. hwp1984@fjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGlioma is a leading cause of mortality worldwide, its recurrence poses a major challenge in achieving effective treatment outcomes. Cancer stem cells (CSCs) have emerged as key contributors to tumor relapse and chemotherapy resistance, making them attractive targets for glioma cancer therapy. This study investigated the potential of FERMT1 as a prognostic biomarker and its role in regulating stemness through cell cycle in glioma.

methodsUsing data from TCGA-GBM, GSE4290, GSE50161 and GSE147352 for analysis of FERMT1 expression in glioma tissues. Then, the effects of FERMT1 knockdown on cell cycle, proliferation, sphere formation ability, invasion and migration were investigated. The influences of FERMT1 on expression of glycolysis-related proteins and levels of ATP, glucose, lactate and G6PDH were also explored. Furthermore, the effects of FERMT1 knockdown on cellular metabolism were evidenced.

resultsSignificant upregulation of FERMT1 in glioma tissues was observed. Silencing FERMT1 not only affected the cell cycle but also led to a notable reduction in proliferation, invasion and migration. The expression of glycolysis-associated proteins including GLUT1, GLUT3, GLUT4, and SCO2 were reduced by FERMT1 knockdown, resulted in increased ATP and glucose as well as decreased lactic acid and G6PDH levels. FERMT1 knockdown also inhibited cellular metabolism. Moreover, FERMT1 knockdown significantly reduced sphere diameter, along with inhibiting the expression of transcription factors associated with stemness in glioma cells.

conclusionThese findings demonstrated that FERMT1 could be an ideal target for the advancement of innovative strategies against glioma treatment via modulating cellular process involved in stemness regulation and metabolism.

Indexed as

Brain NeoplasmsCell ProliferationGliomaMembrane ProteinsNeoplasm ProteinsNeoplastic Stem CellsBiomarkers, TumorCell CycleCell Line, TumorCell MovementGene Expression Regulation, NeoplasticGlycolysisHumansPrognosisBiomarkers, TumorFERMT1 protein, humanMembrane ProteinsNeoplasm ProteinsCancer stem cellsFERMT1GliomaGlycolysisMitochondrial respirationWNT signaling pathways

Identifiers

PMID38976072
PMCPMC11231014

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.