Msi1 promotes breast cancer metastasis by regulating invadopodia-mediated extracellular matrix degradation via the Timp3–Mmp9 pathway

Bi, Xueyun; Lou, Pengbo; Song, Yongli; Sheng, Xiaole; Liu, Ruiqi; Deng, Min; Xu, Yang; Li, Guilin; Yuan, Shukai; Zhang, Honglei; Jiao, Baowei; Zhang, Bing; Xue, Lixiang; Liu, Zhihua; Plikus, Maksim V.; Ren, Fazheng; Gao, Shan; Zhao, Li; Yu, Zhengquan

doi:10.1038/s41388-021-01873-8

Cited by 17 publications

(11 citation statements)

References 55 publications

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“… 156 Furthermore, Musashi‐1 can promote the degradation of ECM by upregulating Timp3 to encourage the expression of MMP‐9 in breast cancer, and thus regulating cell‐ECM adhesion. 157 …”

Section: Components and Mechanisms Involved In Metastasismentioning

confidence: 99%

Tumor metastasis: Mechanistic insights and therapeutic interventions

Liu

Yang

et al. 2021

MedComm

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Cancer metastasis is responsible for the vast majority of cancer‐related deaths worldwide. In contrast to numerous discoveries that reveal the detailed mechanisms leading to the formation of the primary tumor, the biological underpinnings of the metastatic disease remain poorly understood. Cancer metastasis is a complex process in which cancer cells escape from the primary tumor, settle, and grow at other parts of the body. Epithelial‐mesenchymal transition and anoikis resistance of tumor cells are the main forces to promote metastasis, and multiple components in the tumor microenvironment and their complicated crosstalk with cancer cells are closely involved in distant metastasis. In addition to the three cornerstones of tumor treatment, surgery, chemotherapy, and radiotherapy, novel treatment approaches including targeted therapy and immunotherapy have been established in patients with metastatic cancer. Although the cancer survival rate has been greatly improved over the years, it is still far from satisfactory. In this review, we provided an overview of the metastasis process, summarized the cellular and molecular mechanisms involved in the dissemination and distant metastasis of cancer cells, and reviewed the important advances in interventions for cancer metastasis.

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Section: Components and Mechanisms Involved In Metastasismentioning

confidence: 99%

Tumor metastasis: Mechanistic insights and therapeutic interventions

Liu

Yang

et al. 2021

MedComm

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“…With P < 0.05, |R| > 0.3 as the threshold, this study found that MSI1 and IGF2BP3 were associated with multiple AS events. Previous studies had shown that RNA binding protein MSI1 was highly expressed in a variety of tumour tissues [ 37–39 ]. In OV, MSI1 acted as an oncogene, inducing phosphorylation of ERK protein, activating the expression of anti-apoptotic protein Bcl-2, and promoting migration and invasion of cancer cells [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

Comprehensive analysis of prognosis-related alternative splicing events in ovarian cancer

Wang¹,

Wang

Zhang

et al. 2022

RNA Biology

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Ovarian cancer (OV) is characterized by high incidence and poor prognosis. Increasing evidence indicates that aberrant alternative splicing (AS) events are associated with the pathogenesis of cancer. We examined prognosis-related alternative splicing events and constructed a clinically applicable model to predict patients’ outcomes. Public database including The Cancer Genome Atlas (TCGA), TCGA SpliceSeq, and the Genomics of Drug Sensitivity in Cancer databases were used to detect the AS expression, immune cell infiltration and IC50. The prognosis-related AS model was constructed and validated by using Cox regression, LASSO regression, C-index, calibration plots, and ROC curves. A total of eight AS events (including FLT3LG|50942|AP) were selected to establish the prognosis-related AS model. Compared with high-risk group, low-risk group had a better outcome ( P = 1.794e-06), was more sensitive to paclitaxel ( P = 0.022), and higher proportions of plasma cells. We explored the upstream regulatory mechanisms of prognosis-related AS and found that two splicing factor and 156 tag single nucleotide polymorphisms may be involved in the regulation of prognosis-related AS. In order to assess patient prognosis more comprehensively, we constructed a clinically applicable model combining risk score and clinicopathological features, and the 1 -, and 3-year AUCs of the clinically applicable model were 0.812, and 0.726, which were 7.5% and 3.3% higher than that of the risk score. We constructed a prognostic signature for OV patients and comprehensively analysed the regulatory characteristics of the prognostic AS events in OV.

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“…Additionally, our PPI network identified several hub proteins from vital DE mRNAs, which were speculated to be potential factors in regulating breast cancer. For example, MMP9, an important enzyme to the degradation of extracellular matrix (ECM), was considered to be an onset of invasion or metastasis in breast cancer [ 35–37 ]. Furthermore, MMP9 was suggested can be regulated by free fatty acids receptor 1 (FFA1), which indicated that fatty acid metabolism may be a potential mechanism of MMP9 activity [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

Differential expression profile of mRNAs, lncRNAs, and circRNAs reveals potential molecular mechanism in breast cancer

Lei

Xie

et al. 2022

Bioscience Reports

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In recent years, breast cancer attracts more and more attention because of its high incidence. To explore the molecular functions and mechanisms, we performed RNA sequencing on the tumor tissues and their paired normal tissues from three breast cancer patients. By differential expression analysis, we found 3,764 differentially expressed mRNAs (DE mRNAs), 5,416 differentially expressed lncRNAs (DE lncRNAs) and 148 differentially expressed circRNAs (DE circRNAs). Enrichment analysis suggested that the DE lncRNAs and DE circRNAs were enriched in mitochondria and nucleus, which indicated that they may participate in the vital metabolism directly or indirectly, such as fatty acid metabolism. Subsequently, the protein-protein interaction (PPI) network was constructed and we got eight key proteins, of which the MMP9 (degree 5) draws our attention. Based on the 38 up-regulated circRNAs and 14 down-regulated circRNAs, we constructed competing endogenous RNA (ceRNA) networks, from which the has-miR-6794-5p has been identified to enriched in the up-regulated network and correlated with the circNFIX directly. At this point, we presented that the circNFIX and MMP9 may play a significant role by regulating fatty acid metabolism in breast cancer.

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Msi1 promotes breast cancer metastasis by regulating invadopodia-mediated extracellular matrix degradation via the Timp3–Mmp9 pathway

Cited by 17 publications

References 55 publications

Tumor metastasis: Mechanistic insights and therapeutic interventions

Tumor metastasis: Mechanistic insights and therapeutic interventions

Comprehensive analysis of prognosis-related alternative splicing events in ovarian cancer

Differential expression profile of mRNAs, lncRNAs, and circRNAs reveals potential molecular mechanism in breast cancer

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