High expression of FMNL3 associates with cancer cell migration, invasion, and unfavorable prognosis in tongue squamous cell carcinoma

Liu, Jiameng; Chen, Shan; Yang, Chen; Geng, Ningbo; Chen, Feng

doi:10.1111/jop.12857

Cited by 11 publications

(9 citation statements)

References 29 publications

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“…Fu et al reported that high expression of FAM215A was associated with low tumor grades, early disease stages, and favorable overall survival in epithelial ovarian cancer [18]. FDD is a component of FMNL3, and high expression of FMNL3 associated with cancer cell migration, invasion, and unfavorable prognosis in tongue squamous cell carcinoma [19]. However, the function of FAM215A and FDD gene has not been reported in prostate cancer, indicating that functional studies on these genes may help us to understand the prognosis-related biological behavior of bladder cancers more accurately.…”

Section: Discussionmentioning

confidence: 99%

Development of an autophagy-related gene expression signature for prognosis prediction in prostate cancer patients

Jiang

Luo

et al. 2020

J Transl Med

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Background: Prostate cancer (PCa) is one of the most prevalent cancers that occur in men worldwide. Autophagyrelated genes (ARGs) may play an essential role in multiple biological processes of prostate cancer. However, ARGs expression signature has rarely been used to investigate the association between autophagy and prognosis in PCa. This study aimed to identify and assess prognostic ARGs signature to predict overall survival (OS) and disease-free survival (DFS) in PCa patients. Methods: First, a total of 234 autophagy-related genes were obtained from The Human Autophagy Database. Then, differentially expressed ARGs were identified in prostate cancer patients based on The Cancer Genome Atlas (TCGA) database. The univariate and multivariate Cox regression analysis was performed to screen hub prognostic ARGs for overall survival and disease-free survival, and the prognostic model was constructed. Finally, the correlation between the prognostic model and clinicopathological parameters was further analyzed, including age, T status, N status, and Gleason score. Results: The OS-related prognostic model was constructed based on the five ARGs (FAM215A, FDD, MYC, RHEB, and ATG16L1) and significantly stratified prostate cancer patients into high-and low-risk groups in terms of OS (HR = 6.391, 95% CI = 1.581-25.840, P < 0.001). The area under the receiver operating characteristic curve (AUC) of the prediction model was 0.84. The OS-related prediction model values were higher in T3-4 than in T1-2 (P = 0.008), and higher in Gleason score > 7 than ≤ 7 (P = 0.015). In addition, the DFS-related prognostic model was constructed based on the 22 ARGs (ULK2,

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Section: Discussionmentioning

confidence: 99%

Development of an autophagy-related gene expression signature for prognosis prediction in prostate cancer patients

Jiang

Luo

et al. 2020

J Transl Med

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“…CEBPG is involved in the pathogenesis of conditions such as acute myeloid leukemia, esophageal cancer, and lung cancer [ 103 , 104 , 105 ]. Similar properties are attributed to FMNL3 [ 106 , 107 ], a high expression of which is associated with poor prognosis in patients with colorectal carcinoma, melanoma, or tongue cancer [ 108 , 109 , 110 , 111 ]. Moreover, exosomal circ_0000337 enhances the cisplatin resistance of esophageal cancer cells by increasing Janus kinase 2 (JAK2) expression due to miR-377-3p inhibition [ 48 ].…”

Section: Exosomes As Chemoresistance Mediatorsmentioning

confidence: 77%

Small Extracellular Vesicles and Their Involvement in Cancer Resistance: An Up-to-Date Review

Słomka

Kornek

Cho

2022

Cells

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In recent years, tremendous progress has been made in understanding the roles of extracellular vesicles (EVs) in cancer. Thanks to advancements in molecular biology, it has been found that the fraction of EVs called exosomes or small EVs (sEVs) modulates the sensitivity of cancer cells to chemotherapeutic agents by delivering molecularly active non-coding RNAs (ncRNAs). An in-depth analysis shows that two main molecular mechanisms are involved in exosomal modified chemoresistance: (1) translational repression of anti-oncogenes by exosomal microRNAs (miRs) and (2) lack of translational repression of oncogenes by sponging of miRs through long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs). At the cellular level, these processes increase the proliferation and survival of cancer cells and improve their ability to metastasize and resist apoptosis. In addition, studies in animal models have shown enhancing tumor size under the influence of exosomal ncRNAs. Ultimately, exosomal ncRNAs are responsible for clinically significant chemotherapy failures in patients with different types of cancer. Preliminary data have also revealed that exosomal ncRNAs can overcome chemotherapeutic agent resistance, but the results are thoroughly fragmented. This review presents how exosomes modulate the response of cancer cells to chemotherapeutic agents. Understanding how exosomes interfere with chemoresistance may become a milestone in developing new therapeutic options, but more data are still required.

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“…In fact, AIFM3 gene silencing caused significant reduction in migration and invasion of KKU-213A and KKU213B cells. In support, it has been shown that FMNL3 inhibition caused significant suppression of cell migration and invasion of tongue squamous cell carcinoma (TSCC) (31). AIFM3 gene is located on chromosome 22q11, which has been implicated in metastasis and progression of colorectal, breast and prostate cancers (32).…”

Section: Discussionmentioning

confidence: 97%

Bioinformatic Prediction of Novel Signaling Pathways of Apoptosis-inducing Factor, Mitochondrion-associated 3 (AIFM3) and Their Roles in Metastasis of Cholangiocarcinoma Cells

Chua‐On

Proungvitaya

Techasen

et al. 2021

Cancer Genomics Proteomics

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Recent biomarker search revealed that several mitochondrial proteins are detectable in the plasma and their over-expression is considered as potential biomarkers for diagnosis/prognosis of certain cancers (8, 9). Also, mitochondrial proteins are considered as targets for cancer therapy (7).AIFM3 is a mitochondrial protein that consists of 598 amino acids, with a molecular weight of 66 kDa (10). AIFM3 has 35% similarity with the sequence of the apoptosis-inducing factor (AIF). Similarly, AIFM3 has the ability to induce apoptosis (10,11). Nonetheless, analysis of mitochondrial proteome indicated that AIFM3 was overexpressed in CCA tissues in comparison with the matched adjacent non-cancerous tissues (12). Subsequently, we reported that higher serum AIFM3 levels were significantly associated with lymph node metastasis and shorter overall survival of patients with CCA, and AIFM3 could be an independent prognostic marker for patients with CCA (13). In this study, to elucidate the possible role of AIFM3 and the related signaling pathways in CCA cells, we used a combination of gene-silencing, mass spectrometry, and bioinformatic tools. Furthermore, using CCA cells, we examined the effects of AIFM3 gene knock-down on tumor cell motilities by migration-invasion assays. Moreover, AIFM3 expression levels in surgical specimens were used to validate its diagnostic/prognostic role.

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High expression of FMNL3 associates with cancer cell migration, invasion, and unfavorable prognosis in tongue squamous cell carcinoma

Cited by 11 publications

References 29 publications

Development of an autophagy-related gene expression signature for prognosis prediction in prostate cancer patients

Development of an autophagy-related gene expression signature for prognosis prediction in prostate cancer patients

Small Extracellular Vesicles and Their Involvement in Cancer Resistance: An Up-to-Date Review

Bioinformatic Prediction of Novel Signaling Pathways of Apoptosis-inducing Factor, Mitochondrion-associated 3 (AIFM3) and Their Roles in Metastasis of Cholangiocarcinoma Cells

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