miR‐122‐5p promotes aggression and epithelial‐mesenchymal transition in triple‐negative breast cancer by suppressing charged multivesicular body protein 3 through mitogen‐activated protein kinase signaling

Wang, Zheng; Wang, Xiangyu

doi:10.1002/jcp.29188

Cited by 37 publications

(35 citation statements)

References 29 publications

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“…In breast cancer, hsa-miR-122 has different expression patterns according to the subtype [ 56 ]. In addition, miR-122 promotes aggression and epithelial-mesenchymal transition in TNBC [ 57 ] and cell survival in radio-resistance cells [ 58 ]. High plasma miR-122 levels have been detected in AFP-producing gastric cancer [ 59 ].…”

Section: Discussionmentioning

confidence: 99%

Machine Learning-Based Ensemble Recursive Feature Selection of Circulating miRNAs for Cancer Tumor Classification

Lopez-Rincon

Mendoza‐Maldonado

Martínez‐Archundia

et al. 2020

Cancers

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Circulating microRNAs (miRNA) are small noncoding RNA molecules that can be detected in bodily fluids without the need for major invasive procedures on patients. miRNAs have shown great promise as biomarkers for tumors to both assess their presence and to predict their type and subtype. Recently, thanks to the availability of miRNAs datasets, machine learning techniques have been successfully applied to tumor classification. The results, however, are difficult to assess and interpret by medical experts because the algorithms exploit information from thousands of miRNAs. In this work, we propose a novel technique that aims at reducing the necessary information to the smallest possible set of circulating miRNAs. The dimensionality reduction achieved reflects a very important first step in a potential, clinically actionable, circulating miRNA-based precision medicine pipeline. While it is currently under discussion whether this first step can be taken, we demonstrate here that it is possible to perform classification tasks by exploiting a recursive feature elimination procedure that integrates a heterogeneous ensemble of high-quality, state-of-the-art classifiers on circulating miRNAs. Heterogeneous ensembles can compensate inherent biases of classifiers by using different classification algorithms. Selecting features then further eliminates biases emerging from using data from different studies or batches, yielding more robust and reliable outcomes. The proposed approach is first tested on a tumor classification problem in order to separate 10 different types of cancer, with samples collected over 10 different clinical trials, and later is assessed on a cancer subtype classification task, with the aim to distinguish triple negative breast cancer from other subtypes of breast cancer. Overall, the presented methodology proves to be effective and compares favorably to other state-of-the-art feature selection methods.

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Section: Discussionmentioning

confidence: 99%

Machine Learning-Based Ensemble Recursive Feature Selection of Circulating miRNAs for Cancer Tumor Classification

Lopez-Rincon

Mendoza‐Maldonado

Martínez‐Archundia

et al. 2020

Cancers

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“…miR-122-5p is encoded on chromosome 18q21.31 and is derived from the hcr gene transcript. miR-122-5p plays an important role in cell cycle regulation, cell proliferation and cell apoptosis ( Wang & Wang, 2019 ) and is associated with multiple diseases ( Wang & Wang, 2019 ; Wen et al, 2018 ; Jiang et al, 2017 ; Cortez-Dias et al, 2016 ). Previously, we analyzed the correlation between miR-122-5p and occludin protein, and the results showed that miR-122-5p was negatively correlated with occludin expression ( Zhu et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

A 22-amino-acid peptide regulates tight junctions through occludin and cell apoptosis

Zhu

Lü

Shen

et al. 2020

PeerJ

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Occludin is a structural protein of tight junctions (TJ) in the blood–testis barrier (BTB). A 22-amino-acid peptide (22AA) in the second extracellular loop can reversibly regulate TJ, but its regulatory mechanism is unknown. In this study, a 22AA-induced TJ destruction animal model was constructed to investigate the effect of 22AA on Sertoli cells (SCs) and spermatid counts and cell apoptosis at different time points using a multiplex immunofluorescence technique. The effect of 22AA on the location and distribution of occludin was analyzed via dual confocal fluorescence microscope. Western blotting was used to analyze dynamic changes in occludin expression. Real-time RT-PCR was used to analyze miR-122-5p expression changes. Sperm density counts and mating methods were used to analyze the effect of 22AA on fertility in mice. The results showed that 22AA promoted SC and spermatid apoptosis, downregulated occludin, upregulated miR-122-5p, and decreased sperm density and litter size before 27 days (27D). After 27D, the expression of occludin increased again, miR-122-5p expression decreased again, both sperm density and litter size returned to normal, apoptosis stopped, and spermatogenesis began to recover. Therefore, it can be concluded that 22AA can destroy TJ by downregulating occludin and inducing cell apoptosis. After 27D, TJ and spermatogenesis functions return to normal.

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“…miR-122-5p is encoded on chromosome 18q21.31 and is derived from the hcr gene transcript. miR-122-5p plays an important role in cell cycle regulation, cell proliferation and cell apoptosis [36] and is associated with multiple diseases [36][37][38][39]. Previously, we analyzed the correlation between miR-122-5p and occludin protein, and the results showed that miR-122-5p was negatively correlated with occludin expression [40].…”

Section: Discussionmentioning

confidence: 99%

Peer Review #3 of "A 22-amino-acid peptide regulates tight junctions through occludin and cell apoptosis (v0.1)"

2020

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Occludin is a structural protein of tight junctions (TJ) in the blood-testis barrier (BTB). A 22amino-acid peptide (22AA) in the second extracellular loop can reversibly regulate TJ, but its regulatory mechanism is unknown. In this study, a 22AA-induced TJ destruction animal model was constructed to investigate the effect of 22AA on Sertoli cells (SCs) and spermatid count s and cell apoptosis at different time points using a multiplex immunofluorescence technique. The effect of 22AA on the location and distribution of occludin was analyzed via dual confocal fluorescence microscope. Western blotting was used to analyze dynamic changes in occludin expression. Real-time RT-PCR was used to analyze miR-122-5p expression changes. Sperm density counts and mating methods were used to analyze the effect of 22AA on fertility in mice. The results showed that 22AA promoted SC and spermatid apoptosis, downregulated occludin, upregulated miR-122-5p, and decreased sperm density and litter size before 27 days (27D). After 27D, the expression of occludin increased again, miR-122-5p expression decreased again, both sperm density and litter size returned to normal, apoptosis stopped, and spermatogenesis began to recover. Therefore, it can be concluded that 22AA can destroy TJ by downregulating occludin and inducing cell apoptosis. After 27D, TJ and spermatogenesis functions return to normal.

show abstract

miR‐122‐5p promotes aggression and epithelial‐mesenchymal transition in triple‐negative breast cancer by suppressing charged multivesicular body protein 3 through mitogen‐activated protein kinase signaling

Cited by 37 publications

References 29 publications

Machine Learning-Based Ensemble Recursive Feature Selection of Circulating miRNAs for Cancer Tumor Classification

Machine Learning-Based Ensemble Recursive Feature Selection of Circulating miRNAs for Cancer Tumor Classification

A 22-amino-acid peptide regulates tight junctions through occludin and cell apoptosis

Peer Review #3 of "A 22-amino-acid peptide regulates tight junctions through occludin and cell apoptosis (v0.1)"

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