A glimpse into cofilin-1 role in cancer therapy: A potential target to improve clinical outcomes?

Sousa-Squiavinato, Annie Cristhine Moraes; Morgado-Díaz, Jose Andrés

doi:10.1016/j.bbcan.2024.189087

Cited by 3 publications

(2 citation statements)

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“…While ADF and cofilin-1 exhibit widespread expression across various non-muscle tissues, cofilin-2 is predominantly found in muscle tissues like the heart and prostate, with cofilin-1 being the subject of more comprehensive studies ( Bamburg and Wiggan, 2002 ). Notably, cofilin-1 emerges as a promising pathological biomarker in PCa tissues, offering insights into tumor progression, metastasis, and treatment outcomes ( Lu et al, 2015 ; Stark et al, 2017 ; Kiełb et al, 2023 ; Sousa-Squiavinato and Morgado-Díaz, 2024 ). Shishkin found an upregulation of mRNA and protein levels of cofilin-1 in PCa cells compared to non-malignant cells ( Shishkin et al, 2017 ).…”

Section: Actin Filament Severing In Pcamentioning

confidence: 99%

“…Various regulatory mechanisms modulate the activity of cofilin-1, including phosphorylation/dephosphorylation, phosphatidylinositol 4, 5-bisphosphate binding, and intracellular pH regulation ( Bravo-Cordero et al, 2013 ; Sousa-Squiavinato and Morgado-Díaz, 2024 ). Particularly in PCa cells, the phosphorylation/dephosphorylation of cofilin-1 at serine 3 (Ser3) is a predominant event.…”

Section: Actin Filament Severing In Pcamentioning

confidence: 99%

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Role of actin-binding proteins in prostate cancer

Fu,

Yu,

Zou

et al. 2024

Front. Cell Dev. Biol.

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The molecular mechanisms driving the onset and metastasis of prostate cancer remain poorly understood. Actin, under the control of actin-binding proteins (ABPs), plays a crucial role in shaping the cellular cytoskeleton, which in turn supports the morphological alterations in normal cells, as well as the invasive spread of tumor cells. Previous research indicates that ABPs of various types serve distinct functions, and any disruptions in their activities could predispose individuals to prostate cancer. These ABPs are intricately implicated in the initiation and advancement of prostate cancer through a complex array of intracellular processes, such as severing, linking, nucleating, inducing branching, assembling, facilitating actin filament elongation, terminating elongation, and promoting actin molecule aggregation. As such, this review synthesizes existing literature on several ABPs linked to prostate cancer, including cofilin, filamin A, and fascin, with the aim of shedding light on the molecular mechanisms through which ABPs influence prostate cancer development and identifying potential therapeutic targets. Ultimately, this comprehensive examination seeks to contribute to the understanding and management of prostate diseases.

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Section: Actin Filament Severing In Pcamentioning

confidence: 99%

Section: Actin Filament Severing In Pcamentioning

confidence: 99%

Role of actin-binding proteins in prostate cancer

Fu,

Yu,

Zou

et al. 2024

Front. Cell Dev. Biol.

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The ROCK-1/2 inhibitor RKI-1447 blocks N-MYC, promotes cell death, and emerges as a synergistic partner for BET inhibitors in neuroblastoma

Pepich,

Tümmler,

Abu Ajamieh

et al. 2024

Cancer Letters

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Construction and immunotherapy analysis of hepatocellular carcinoma prognostic model based on membrane tension-related genes

zhu,

Zhu,

Chen

2024

Preprint

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Background： The membrane of tumor epithelial cells is more flexible than normal cells, and higher membrane tension can effectively inhibit the migration and invasion of tumor cells. Innovative therapies targeting the physical characteristics of tumor cells are worthy of attention. To investigate the prognostic value of membrane tension-related genes (MTGRs) in hepatocellular carcinoma (HCC) and its relationship with immunotherapy. Method: We obtained RNA-seq data and clinical characteristics data for HCC from The Cancer Genome Atlas (TCGA) database, the (International Cancer Genome Consortium) ICGC database and GEO database. Combined with univariate Cox regression analysis and LASSO (least absolute shrinkage and selection operator) regression analyses, 3-MTRGs risk model was established. Kaplan-Meier survival analysis and receiver operating characteristic (ROC) curve were used to verify the model. The Nomogram model was constructed by combining the risk score and clinical characteristics, and its performance was evaluated by calibration curves. We conducted gene differential analysis and functional enrichment analysis on high- and low-risk groups, identifying relevant molecular pathways. Additionally, we analyzed the differences between the two groups in terms of immune cell infiltration, immune-related pathways, and immunotherapy. In addition, we analyzed single-cell sequencing data of HCC patients from the GEO database to study cellular infiltration in the tumor microenvironment and the distribution of model genes across different cell types. Finally, we validated the expression differences of model genes between HCC tissues and normal tissues using the GEO database (GSE121248 and GSE45267). Results 3-MTRGs (CFL1, CRTC2, SRGAP2) were involved in the model construction, and the prognosis of patients in the low-risk group was better than that in the high-risk group. Kaplan-Meier survival curve and ROC curve illustrated that the model had reliable predictive value. Enrichment analysis showed that high-risk groups were mainly concentrated in the pathways related to TUMOR CELL CYCLE and ECM RECEPTOR INTERACTION. Immuno-correlation analysis of the two groups showed that the high-risk group was associated with immune escape. High-risk HCC patients exhibited notable sensitivity to chemotherapy drugs such as 5 - Fluorouracil, Dasatinib, Osimertinib and Paclitaxel. External data sets showed that the model genes were highly expressed in HCC tissues. Conclusion We selected three MTRGs ( CFL1, CRTC2 and SRGAP2) as prognostic indicators of HCC and established a Nomogram model to predict the prognosis and efficacy of immunotherapy in HCC patients.

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A glimpse into cofilin-1 role in cancer therapy: A potential target to improve clinical outcomes?

Cited by 3 publications

References 85 publications

Role of actin-binding proteins in prostate cancer

Role of actin-binding proteins in prostate cancer

The ROCK-1/2 inhibitor RKI-1447 blocks N-MYC, promotes cell death, and emerges as a synergistic partner for BET inhibitors in neuroblastoma

Construction and immunotherapy analysis of hepatocellular carcinoma prognostic model based on membrane tension-related genes

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