Evidence map›Paper›PMID 39076095›Full record

ArticleCombinatorial chemistry & high throughput screening2025

Knockdown of Anoikis-Associated Gene OCIAD2 Reduces Proliferation and Migration of Glioblastoma Cell Lines.

Danna Huang, Lu Chen, Yu Liu, Wuwei Wu, Yingying Liu, Yu Pan

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Article in Combinatorial chemistry & high throughput screening, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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.

Danna HuangGuangxi Botanical Garden of Medicinal Plants, Nanning 530023, China.
Lu ChenGuangxi Botanical Garden of Medicinal Plants, Nanning 530023, China.
Yu LiuGuangxi Botanical Garden of Medicinal Plants, Nanning 530023, China.
Wuwei WuGuangxi Botanical Garden of Medicinal Plants, Nanning 530023, China.
Yingying LiuGuangxi Botanical Garden of Medicinal Plants, Nanning 530023, China.
Yu PanGuangxi Botanical Garden of Medicinal Plants, Nanning 530023, China.

Funding

Guangxi Science and Technology Base and Talent Special Project GuikeAD17292003Nanning Science and Technology Programme 20212131Research Project from Guangxi Botanical Garden of Medicinal Plants, China 201802, 202304, 202103
6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) severely disrupts the quality of life of patients. Anoikis represents a significant mechanism in cancer invasion and metastasis. Our study focused on the prognostic relationship between the anoikis-associated gene and GBM and its effect on GBM cell progression.

methodsWe downloaded 656 and 979 GBM sample data from TCGA and CGGA cohort datasets, respectively. Fifteen anoikis-associated genes were obtained from the GeneCards database and were subsequently clustered to identify differential genes associated with them. After univariate analysis and survival random forest dimensionality reduction, the anoikis score was the sum of the coefficients * gene expression values of the five prognostic genes. Survival analysis and ROC curve analysis of anoikis scores were performed using the TCGA training and CGGA validation sets. The prognostic factors were analyzed using Cox regression analysis in GBM. Moreover, CCK-8, colony formation, wound healing, and transwell assay were used to evaluate GBM cell proliferation and migration.

resultsSignificant differences were observed in the 5-year survival of GBM patients between the two subgroups. Then, our analysis demonstrated that high OCIAD2, FTLP3, IGFBP2, and H19 levels were associated with lower 5-year GBM survival rates, whereas high SFRP2 levels were associated with higher survival rates. Univariate Cox analysis indicated that GBM risk was linked to both anoikis score and grade, while multivariate Cox analysis indicated that GBM risk was associated with both anoikis score and age. Additionally, OCIAD2 was highly expressed in U251MG and T98G cells. Moreover, OCIAD2 silencing inhibited GBM cell proliferation and migration.

conclusionThis study demonstrated the potential of the anoikis-associated gene OCIAD2 as a prognostic biomarker for GBM. Furthermore, we validated in vitro that OCIAD2 promoted GBM cell progression. OCIAD2 silencing inhibited GBM cell proliferation and migration.

Indexed as

AnoikisBrain NeoplasmsGene Knockdown TechniquesGlioblastomaCell Line, TumorCell MovementCell ProliferationHumansanoikis scoreGBMmigration.OCIAD2proliferationTCGA

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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.