Exosomal miRNA-92a derived from cancer-associated fibroblasts promote invasion and metastasis in breast cancer by regulating G3BP2.

Cancer-associated Fibroblasts (CAFs) exert a tumor-promoting effect in various cancers, including breast cancer. CAFs secrete exosomes containing miRNA and proteins, influencing the tumor microenvironment. In this study, we identified CAF-derived exosomes that transport functional miR-92a from CAFs to tumor cells, thereby intensifying the aggressiveness of breast cancer. CAFs downregulate the expression of G3BP2 in breast cancer cells, and a significant elevation in miR-92a levels in CAF-derived exosomes was observed. Both in vitro and in vivo experiments demonstrate that miR-92a enhances breast cancer cell migration and invasion by directly targeting G3BP2, functioning as a tumor-promoting miRNA. We validated that the RNA-binding proteins SNRPA facilitate the transfer of CAF-derived exosomal miR-92a to breast cancer cells. The reduction of G3BP2 protein by CAF-derived exosomes releases TWIST1 into the nucleus, promoting epithelial-mesenchymal transition (EMT) and further exacerbating breast cancer progression. Moreover, CAF-derived exosomal miR-92a induces tumor invasion and metastasis in mice. Overall, our study reveals that CAF-derived exosomal miR-92a serves as a promoter in the migration and invasion of breast cancer cells by reducing G3BP2 and may represent a potential novel tumor marker for breast cancer.

Tumor-derived exosomal miR-148b-3p mediates M2 macrophage polarization via TSC2/mTORC1 to promote breast cancer migration and invasion.

BACKGROUND: Emerging evidence has revealed that tumor-associated macrophages (TAMs) and exosomes play a crucial role in the microenvironment for tumor growth. However, the mechanisms through which exosomal miRNAs modulate TAMs and tumor development in breast cancer are not fully understood. METHODS: We constructed a macrophage model and an indirect coculture system consist of breast cancer cells and macrophages. Exosomes were isolated from BC cells culture supernatant and identified by transmission electron microscopy, Western blot and Nanosight LM10 system. The expression of miR-148b-3p in exosomes was determined by qRT-PCR and the effect of exosomal miR-148b-3p on macrophage polarization was measured using qRT-PCR and ELISA. The proliferation, migration and invasion of BC cells were estimated by EdU, wound healing assay and transwell assay. We employed bioinformatics, luciferase reporter assay and Western blot to identify the target gene of miR-148b-3p. Western blot was used to clarify the mechanism of exosomal miR-148b-3p mediated the crosstalk between BC cells and M2 macrophages. RESULTS: Cancer-derived exosomes could induce M2 polarization of macrophages, which promoted the migration and invasion of breast cancer cells. We found that exosomal miR-148b-3p was overexpressed in breast cancer cell-derived exosomes and correlated with lymph node metastasis, late tumor stage and worse prognosis. Upregulated miR-148b-3p expression in exosomes modulated macrophage polarization by targeting TSC2, which promoted the proliferation and might affect migration and invasion of breast cancer cells. Interestingly, we found that exosomal miR-148b-3p could induce M2 macrophage polarization via the TSC2/mTORC1 signaling pathway in breast cancer. CONCLUSION: Overall, our study elucidated that miR-148b-3p could be transported by exosomes from breast cancer cells to surrounding macrophages and induced M2 polarization by targeting TSC2, providing novel insights for breast cancer therapy.

Deep learning in economics: a systematic and critical review.

From the perspective of historical review, the methodology of economics develops from qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of the superiority in learning inherent law and representative level, deep learning models assist in realizing intelligent decision-making in economics. After presenting some statistical results of relevant researches, this paper systematically investigates deep learning in economics, including a survey of frequently-used deep learning models in economics, several applications of deep learning models used in economics. Then, some critical reviews of deep learning in economics are provided, including models and applications, why and how to implement deep learning in economics, research gap and future challenges, respectively. It is obvious that several deep learning models and their variants have been widely applied in different subfields of economics, e.g., financial economics, macroeconomics and monetary economics, agricultural and natural resource economics, industrial organization, urban, rural, regional, real estate and transportation economics, health, education and welfare, business administration and microeconomics, etc. We are very confident that decision-making in economics will be more intelligent with the development of deep learning, because the research of deep learning in economics has become a hot and important topic recently.

Prognostic value of NOX2 as a potential biomarker for lung adenocarcinoma using TCGA and clinical validation.

Lung adenocarcinoma (LUAD) is associated with high morbidity and mortality; therefore, effective biomarkers are essential. In recent years, a rapid increase in the efficiency of high­throughput sequencing technologies and the continuous improvement of comprehensive online databases have facilitated the study of the genomic changes that affect tumor progression, including the identification of tumor biomarkers. Therefore, the identification of genes that may affect the progression and prognosis of LUAD is necessary. In the present study, the CIBERSORT and ESTIMATE bioinformatics packages were used to evaluate data from The Cancer Genome Atlas, including assessment of the proportion of tumor­infiltrating immune cells in the tumor microenvironment, Cox regression analysis of differentially expressed genes and cross analysis of protein­protein interaction networks. Myeloid cell NADPH oxidase isoform 2 (NOX2), an indispensable gene in the immune system, was demonstrated to serve a vital role in LUAD pathogenesis. Western blotting and immunohistochemistry confirmed that, at the protein level, NOX2 expression was increased in normal cells compared with cancer cells. Furthermore, reverse transcription­quantitative PCR results at the mRNA level were consistent with these results, which confirmed that the abundance of NOX2 was significantly reduced in LUAD patients. NOX2 may be used as a novel marker and an independent prognostic indicator of LUAD. Its potential function was enriched in tumor immune and metabolic signaling pathways, which could provide clues for the study of the signaling pathways and molecular networks related to the disease progression of LUAD, which would be helpful for the assessment of prognosis in the clinical setting.

A deep learning model and human-machine fusion for prediction of EBV-associated gastric cancer from histopathology.

Epstein-Barr virus-associated gastric cancer (EBVaGC) shows a robust response to immune checkpoint inhibitors. Therefore, a cost-efficient and accessible tool is needed for discriminating EBV status in patients with gastric cancer. Here we introduce a deep convolutional neural network called EBVNet and its fusion with pathologists for predicting EBVaGC from histopathology. The EBVNet yields an averaged area under the receiver operating curve (AUROC) of 0.969 from the internal cross validation, an AUROC of 0.941 on an external dataset from multiple institutes and an AUROC of 0.895 on The Cancer Genome Atlas dataset. The human-machine fusion significantly improves the diagnostic performance of both the EBVNet and the pathologist. This finding suggests that our EBVNet could provide an innovative approach for the identification of EBVaGC and may help effectively select patients with gastric cancer for immunotherapy.

Cancer-associated fibroblast-derived exosomal miR-18b promotes breast cancer invasion and metastasis by regulating TCEAL7.

Studies have shown that cancer-associated fibroblasts (CAFs) play an irreplaceable role in the occurrence and development of tumors. Therefore, exploring the action and mechanism of CAFs on tumor cells is particularly important. In this study, we compared the effects of CAFs-derived exosomes and normal fibroblasts (NFs)-derived exosomes on breast cancer cells migration and invasion. The results showed that exosomes from both CAFs and NFs could enter into breast cancer cells and CAFs-derived exosomes had a more enhancing effect on breast cancer cells migration and invasion than NFs-derived exosomes. Furthermore, microRNA (miR)-18b was upregulated in CAFs-derived exosomes, and CAFs-derived exosomes miR-18b can promote breast cancer cell migration and metastasis by specifically binding to the 3'UTR of Transcription Elongation Factor A Like 7 (TCEAL7). The miR-18b-TCEAL7 pathway promotes nuclear Snail ectopic activation by activating nuclear factor-kappa B (NF-κB), thereby inducing epithelial-mesenchymal transition (EMT) and promoting cell invasion and metastasis. Moreover, CAFs-derived exosomes miR-18b could promote mouse xenograft model tumor metastasis. Overall, our findings suggest that CAFs-derived exosomes miR-18b promote nuclear Snail ectopic by targeting TCEAL7 to activate the NF-κB pathway, thereby inducing EMT, invasion, and metastasis of breast cancer. Targeting CAFs-derived exosome miR-18b may be a potential treatment option to overcome breast cancer progression.

[CCL18 Promotes the Invasion of Lung Adenocarcinoma through ANXA2].

BACKGROUND: ANXA2 plays a very important role in cancer progression. chemokine ligand 18 (CCL18) is associated with the invasion, migration, metastasis and poor prognosis of lung adenocarcinoma (LUAD). In this study, we aimed to explore whether CCL18 promotes LUAD invasion through ANXA2, and its role and molecular mechanism in LUAD invasion. METHODS: Western blot was used to detect ANXA2 expression in LUAD tissues and adjacent non-tumor tissues, the transfection efficiency of SiANXA2#2 in cells and the role of ANXA2 as an upstream regulator in the AKT/cofilin signaling pathway. In vitro cytological experiments such as chemotaxis experiment and transwell invasion test was used to explore the mechanism of ANXA2 on LUAD metastasis. F-actin polymerization experiment and Western blot were used to detect whether invasion ability alteration of SiANXA2#2 A549 cells are related to F-actin. RESULTS: Western blot analysis showed that compared with adjacent non-tumor tissues, the protein expression level of ANXA2 in cancer tissues increased (P<0.05). In the chemotaxis experiment and invasion experiment, the chemotaxis and invasion ability induced by CCL18 decreased when ANXA2 knockdowned (P<0.05). Compared with the control group, F-actin polymerization was significantly lower in ANXA2 knockdown group, while phosphorylation of AKT at Ser473 and Thr308 and phosphorylation of Cofilin and LIMK were reduced in ANXA2 knockdown group (P<0.05). CONCLUSIONS: ANXA2 knockdown can reduce the invasive effect of CCL18 on LUAD cells by reducing phosphorylation of AKT and downstream pathways.

[SP13786 Inhibits the Migration and Invasion of Lung Adenocarcinoma Cell A549 
by Supressing Stat3-EMT via CAFs Exosomes].

BACKGROUND: Fibroblast activation protein (FAP) is one of the surface markers of cancer-associated fibroblasts (CAFs) and is closely related to the malignant characterization of CAFs. SP13786 is a specific micromolecule inhibitor of FAP and this study is to investigate the effects and mechanism of SP13786 on the migration and invasion of A549 cells through regulating exosomes of CAFs. METHODS: CAFs and paracancerous fibroblasts (PTFs) were isolated and subcultured from freshly resected lung adenocarcinoma tissues and paracancerous normal tissues separately. MTT assay was used to detect the proliferation of CAFs incubated by different concentrations of SP13786; PTFs-exo, CAFs-exo and CAFs+SP13786-exo were extracted by polymer precipitation method. The A549 cells were divided into Ctrl group, PTFs group, CAFs group and SP13786 group and each group was incubated with DMEM, PTFs-exo, CAFs-exo and CAFs+SP13786-exo separately. Laser confocal microscope was used to observe the endocytoses of exosomes by A549 cells. The expression of alpha-smooth muscle actin (α-SMA) and FAP in PTFs and CAFs and the expression of E-cadherin, N-cadherin, Slug, Stat3 and P-Stat3 in A549 cells were detected by immunofluorescence, immunohistochemistry and Western blot. The migration and invasion ability of A549 cells were detected by cell scratch and transwell methods. RESULTS: α-SMA and FAP were expressed much higher in CAFs than that in PTFs which indicate that CAFs and PTFs were successfully obtained from lung adenocarcinoma and paracancerous tissues (P<0.05). MTT showed that the 50% inhibitory concentration (IC50) of SP13786 for CAFs was about 3.3 nmol/L. In addition, SP13786 can significantly decrease the expression of α-SMA and FAP in CAFs which means that targeted inhibition of FAP could reduce the malignant characteristics of CAFs (P<0.05). Laser confocal microscope found that exosomes from CAFs could be taken up by A549 cells and scratch and transwell tests showed that the endocytosed CAFs-exo could promote the migration and invasion of A549 cells (P<0.001), while FAP inhibitor SP13786 could inhibit the effects of CAFs-exo on A549 cells (P<0.05). Furthermore, Immunofluorescence and Western blot showed that CAFs-exo could promote EMT by decreasing E-cadherin expression and increasing N-cadherin, Slug expression in A549 cells while FAP inhibitor SP13786 could significantly supress CAFs-exo-induced epithelial-mesenchymal transition (EMT) of A549 cells (P<0.05). Moreover, the expression of P-Stat3 was obviously increased in A549 cells of CAFs group and significantly down-regulated in SP13786 group (P<0.05) whereas there was no significant difference in total Stat3 between CAFs and SP13786 groups (P>0.05). Finally, WP1066 (a specific inhibitor of Stat3) was used to comfirm whether SP13786 could influence EMT of A549 cells by inhibiting Stat3 phosphorylation via CAFs-Exo. The results showed that when the phosphorylation of Stat3 in CAFs group was inhibited by WP1066, SP13786 could not influence the P-Stat3 expression and EMT of A549 cells anymore (P>0.05). CONCLUSIONS: As a specific micromolecule inhibitor of FAP, SP13786 indirectly inhibits the migration and invasion of A549 cells by affecting exosomes of CAFs. The possible mechanism is to inhibit the phosphorylation of Stat3 and thus affect the EMT of A549 cells.