tRNA-derived fragments: Unveiling new roles and molecular mechanisms in cancer progression.

tRNA-derived fragments (tRFs) are novel small noncoding RNAs (sncRNAs) that range from approximately 14 to 50 nt. They are generated by the cleavage of mature tRNAs or precursor tRNAs (pre-tRNAs) at specific sites. Based on their origin and length, tRFs can be classified into three categories: (1) tRF-1 s; (2) tRF-3 s, tRF-5 s, and internal tRFs (i-tRFs); and (3) tRNA halves. They play important roles in stress response, signal transduction, and gene expression processes. Recent studies have identified differential expression of tRFs in various tumors. Aberrantly expressed tRFs have critical clinical value and show promise as new biomarkers for tumor diagnosis and prognosis and as therapeutic targets. tRFs regulate the malignant progression of tumors via various mechanisms, primarily including modulation of noncoding RNA biogenesis, global chromatin organization, gene expression regulation, modulation of protein translation, regulation of epigenetic modification, and alternative splicing regulation. In conclusion, tRF-mediated regulatory pathways could present new avenues for tumor treatment, and tRFs could serve as promising therapeutic targets for cancer therapy.

The novel role of etoposide in inhibiting the migration and proliferation of small cell lung cancer and breast cancer via targeting Daam1.

OBJECTIVES: Daam1 (Dishevelled-associated activator of morphogenesis 1) is a Wnt/PCP signaling protein that engages in cytoskeleton reorganization and is abnormally activated in certain tumors. Daam1 is closely related to cancer metastasis, which is expected to become a target for cancer treatment. However, the natural small molecules targeting Daam1 have not been identified. MATERIALS AND METHODS: We screened several natural small molecules that may bind to Daam1 by Sybyl molecular simulation docking technique. As a first-line drug for the treatment of small cell lung cancer, etoposide was chosen for further investigation. Next, we used Micro Scale Thermophoresis (MST) to verify the interaction of etoposide and Daam1. Small cell lung cancer H446 cells and breast cancer MCF-7 cells were treated with etoposide and subjected to Western blotting to measure the Daam1 expression. The effect of etoposide on cell proliferation was determined by CCK-8 assay in vitro and by a tumor-bearing mouse model in vivo. Wound healing assay and Boyden chamber assay were used to evaluate the role of etoposide in the migration and invasion ability of tumor cells. The effect of etoposide on the microfilament assembly was visualized by immunofluorescence staining with phalloidine. Finally, the possible mechanism of down-regulation of Daam1 expression after etoposide-induced small cell lung cancer cells was detected by a half-life experiment and immunofluorescence staining with lysosomal marker LAMP1. RESULTS: Sybyl molecular modeling docking technique was performed to screen a natural chemical library for molecules that bound to the FH2 domain of Daam1 and found etoposide was virtually interacted with Daam1. MST validated etoposide directly bound to the FH2 domain of Daam1. Etoposide significantly down-regulated the expression of Daam1 in small cell lung cancer H446 cells and breast cancer MCF-7 cells. Moreover, 270 µmol/L etoposide largely inhibited the proliferation, migration, and invasion of H446 cells and MCF-7 cells. Immunofluorescence staining experiments revealed that etoposide induced the disassembly of microfilaments in H446 cells and MCF-7 cells, which were rescued by Daam1 overexpression. In nude mice transplanted with H446 cells, 5, 10, 20 mg/kg etoposide (drug/weight) injected via tail vein largely retarded the proliferation of subcutaneous tumors. Etoposide induced Daam1 to shorten its half-life and enter the lysosome degradation pathway, and eventually leading to the downregulation of Daam1 expression. CONCLUSIONS: Etoposide is a novel natural small molecule targeting Daam1. Etoposide inhibits the proliferation, migration and invasion of small cell lung cancer cells and breast cancer cells, and also suppresses tumor proliferation of small cell lung cancer in vivo.

The Role of Early Growth Response Family Members 1-4 in Prognostic Value of Breast Cancer.

Early growth response family members (EGRs), EGR1-4, have increasingly attracted attention in multiple cancers. However, the exact expression patterns and prognostic values of EGRs in the progress of breast cancer (BRCA) remain largely unknown. The mRNA expression and prognostic characteristics of EGRs were examined by the Cancer Genome Atlas (TCGA), Oncomine, and Kaplan-Meier plotter. Enrichment analyses were conducted based on protein-protein interaction (PPI) network. The Tumor Immune Estimation Resource (TIMER) database and MethSurv were further explored. The protein expression of EGR1 in BRCA was measured by western blotting and immunohistochemistry. The migration of mammary epithelial cells was determined by Boyden chamber assay. The transcriptional levels of EGR1/2/3 displayed significantly low expression in BRCA compared with that in normal tissues, while EGR4 was shown adverse expression pattern. Survival analysis revealed upregulated EGR1-4 were remarkably associated with favorable relapse-free survival (RFS). A close correlation with specific tumor-infiltrating immune cells (TIICs) and several CpG sites of EGRs were exhibited. Immunohistochemistry assays showed that the protein expression of EGR1 was remarkably downregulated in BRCA compared with that in paracancerous tissues. The migration of MCF10A mammary epithelial cells was increased after the silence of EGR1 by siRNA transfection. This study provides a novel insight to the role of EGRs in the prognostic value of BRCA.

Overexpressed DAAM1 correlates with metastasis and predicts poor prognosis in breast cancer.

Recent studies have reported that dishevelled-associated activator of morphogenesis 1 (DAAM1) is remarkably essential for mediating cell migration and invasion in breast cancer (BrCa). Nonetheless, the definite expression profile of DAAM1 in BrCa patients and the impact on metastasis of BrCa in vivo have not been explored up to now. The differential expression of DAAM1 in BrCa and adjacent tissues was assessed via immunohistochemistry (IHC) staining. The metastatic capacities of BrCa SUM-1315 cells were examined in BALB/c nude mice. Besides, the prognostic values of DAAM1 mRNA in BrCa were explored based on Kaplan-Meier (KM) plotter. The expression of DAAM1 protein was notably overexpressed in BrCa tissues compared with that in paired normal breast tissues. The high expression of DAAM1 in BrCa tissues was significantly associated with lymph-node metastasis. Furthermore, DAAM1 overexpression promoted the invasive capacity of BrCa cells and stimulated lung metastatic extent in vivo. We also found that overexpressed DAAM1 mRNA was significantly associated with poor relapse-free survival (RFS), overall survival (OS), distance-metastasis-free survival (DMFS), and post-progression survival (PPS). Our findings reveal that DAAM1 might be a novel therapeutic target to manage the deteriorated metastasis of BrCa and identified DAAM1 as a promising biomarker for unfavorable prognosis in BrCa patients.

Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico.

BACKGROUND: Breast cancer is one of the most common endocrine cancers among females worldwide. Distant metastasis of breast cancer is causing an increasing number of breast cancer-related deaths. However, the potential mechanisms of metastasis and candidate biomarkers remain to be further explored. RESULTS: The gene expression profiles of GSE102484 were downloaded from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was used to screen for the most potent gene modules associated with the metastatic risk of breast cancer, and a total of 12 modules were identified based on the analysis. In the most significant module (R2 = 0.68), 21 network hub genes (MM > 0.90) were retained for further analyses. Next, protein-protein interaction (PPI) networks were used to further explore the biomarkers with the most interactions in gene modules. According to the PPI networks, five hub genes (TPX2, KIF2C, CDCA8, BUB1B, and CCNA2) were identified as key genes associated with breast cancer progression. Furthermore, the prognostic value and differential expression of these genes were validated based on data from The Cancer Genome Atlas (TCGA) and Kaplan-Meier (KM) Plotter. Receiver operating characteristic (ROC) curve analysis revealed that the mRNA expression levels of these five hub genes showed excellent diagnostic value for breast cancer and adjacent tissues. Moreover, these five hub genes were significantly associated with worse distant metastasis-free survival (DMFS) in the patient cohort based on KM Plotter. CONCLUSION: Five hub genes (TPX2, KIF2C, CDCA8, BUB1B, and CCNA2) associated with the risk of distant metastasis were extracted for further research, which might be used as biomarkers to predict distant metastasis of breast cancer.

DAAM1-mediated migration and invasion of ovarian cancer cells are suppressed by miR-208a-5p.

Ovarian cancer (OvCa) has the highest morbidity among all gynecologic cancers worldwide, and its distant metastasis is one of main causes for the poor prognosis of OvCa patients. Our previous studies have reported that DAAM1-involved signaling pathways play vital roles in metastasis of breast cancer. However, whether DAAM1 participates in OvCa migration and/or invasion is still unknown. The impact of DAAM1 on cell migration and invasion in OvCa was evaluated by wound healing assay and Boyden chamber assay. The specific miRNA targeting DAAM1 was predicted by bioinformatics methods and verified by dual-luciferase activity assay. The miR-208a-5p expression levels in OvCa tissues and the impacts of miR-208a-5p on cell migration and invasion were also assessed, respectively. High expression of DAAM1 was associated with distant metastasis in OvCa. Silence of DAAM1 by siRNA blocked the migration and invasion of OVCAR-3 cells. MiR-208a-5p directly targeted DAAM1 and was shown a decreased expression in metastatic OvCa tissues. Elevated expression of miR-208a-5p inhibited the migration and invasion of OVCAR-3 cell which can be rescued by DAAM1 overexpression. Our data suggest that miR-208-5p/DAAM1 axis participates in OvCa migration and invasion and may be a novel clinical target to limit OvCa metastasis.

A DAAM1 3'-UTR SNP mutation regulates breast cancer metastasis through affecting miR-208a-5p-DAAM1-RhoA axis.

BACKGROUND: Dishevelled-associated activator of morphogenesis 1 (DAAM1) is a member of microfilament-related formins and mediates cell motility in breast cancer (BrCa). However, the genetic mutation status of DAAM1 mRNA and its correlation with pathological characteristics are still unclearly. Methods: A patient cohort and BrCa cells were recruited to demonstrate the role of functional SNP in microRNA-208a-5p binding site of DAAM1 3'-UTR and underlying mechanism in BrCa metastasis. METHODS: A patient cohort and BrCa cells were recruited to demonstrate the role of functional SNP in microRNA-208a-5p binding site of DAAM1 3'-UTR and underlying mechanism in BrCa metastasis. RESULTS: The expression and activation of DAAM1 increased markedly in lymphnode metastatic tissues. A genetic variant (rs79036859 A/G) was validated in the miR-208a-5p binding site of DAAM1 3'-UTR. The G genotype (AG/GG) was a risk genotype for the metastasis of BrCa by reducing binding affinity of miR-208a-5p for the DAAM1 3'-UTR. Furthermore, the miR-208a-5p expression level was significantly suppressed in lymphnode metastatic tissues compared with that in non-lymphnode metastatic tissues. Overexpression of miR-208a-5p inhibited DAAM1/RhoA signaling pathway, thereby leading to the decrease of the migratory ability. CONCLUSION: Overall, the rs79036859 G variant of DAAM1 3'-UTR was identified as a relevant role in BrCa metastasis via the diversity of miR-208a-5p binding affinity.

Interpersonal similarity between body movements in face-to-face communication in daily life.

Individuals are embedded in social networks in which they communicate with others in their daily lives. Because smooth face-to-face communication is the key to maintaining these networks, measuring the smoothness of such communication is an important issue. One indicator of smoothness is the similarity of the body movements of the two individuals concerned. A typical example noted in experimental environments is the interpersonal synchronization of body movements such as nods and gestures during smooth face-to-face communication. It should therefore be possible to estimate quantitatively the smoothness of face-to-face communication in social networks through measurement of the synchronization of body movements. However, this is difficult because social networks, which differ from disciplined experimental environments, are open environments for the face-to-face communication between two individuals. In such open environments, their body movements become complicated by various external factors and may follow unstable and nonuniform patterns. Nevertheless, we consider there to be some interaction during face-to-face communication that leads to the interpersonal synchronization of body movements, which can be seen through the interpersonal similarity of body movements. The present study aims to clarify such interaction in terms of body movements during daily face-to-face communication in real organizations of more than 100 people. We analyzed data on the frequency of body movement for each individual during face-to-face communication, as measured by a wearable sensor, and evaluated the degree of interpersonal similarity of body movements between two individuals as their frequency difference. Furthermore, we generated uncorrelated data by resampling the data gathered and compared these two data sets statistically to distinguish the effects of actual face-to-face communication from those of the activities accompanying the communication. Our results confirm an interpersonal similarity of body movements between two individuals in face-to-face communication, for all the organizations studied, and suggest that some body interaction is behind this similarity.