ECM-receptor Interaction Signaling Pathway Research Articles

Proteomics and phosphoproteomics to study Tuina reverses capsule fibrosis in frozen shoulder: a research report based on rats

Frozen shoulder (FS) is a common disorder often treated with Tuina, but the mechanisms involved remain unclear. We employed proteomics and phosphoproteomics to investigate the mechanisms associated with the treatment of capsule fibrosis in FS rats. We used a method composed of three weeks of cast immobilization to establish a model of FS. We then administered Tuina once daily for 14 days, evaluated glenohumeral range of motion (ROM), assessed histological changes, and identified differentially expressed proteins (DEPs) using proteomics and phosphoproteomics. This study demonstrated that Tuina could improve glenohumeral ROM and reserve capsule fibrosis in FS rats. Proteomics revealed proteins regulated by Tuina belonging to the PI3K-AKT and ECM receptor interaction signaling pathways. Phosphoproteomics detected differentially phosphorylated proteins regulated by Tuina to be enriched in the MAPK signaling pathway. The combination of proteomics and phosphoproteomics for Protein–Protein Interaction (PPI) network analysis revealed that the phosphorylation of Myh3 and Srsf1 with a node degree larger than the average degree were considered the central regulatory protein modulated by Tuina to reverse capsule fibrosis. Thbs1, Vtn, and Tenascin-W were significantly enriched in PI3K-AKT and ECM receptor interaction signaling pathways and highly expressed in model rats. Tuina resulted in reduced expression of these proteins. Our findings demonstrated some of mechanisms behind the reversal of FS capsule fibrosis following Tuina, a scientific medical therapy for FS patients.

Transcription Analysis of the THBS2 Gene through Regulation by Potential Noncoding Diagnostic Biomarkers and Oncogenes of Gastric Cancer in the ECM-Receptor Interaction Signaling Pathway: Integrated System Biology and Experimental Investigation.

Gastric cancer (GC) is the second most frequent cause of cancer-related death worldwide and the fourth most common malignancy. Despite significant improvements in patient survival over the past few decades, the prognosis for patients with GC remains dismal because of the high recurrence rate. In this comprehensive system biology and experimental investigation, we aimed to find new novel diagnostic biomarkers of GC through a regulatory RNA interaction network. Gene expression, coexpression, and survival analyses were performed using microarray and RNAseq datasets (analyzed by RStudio, GEPIA2, and ENCORI). RNA interaction analysis was performed using miRWalk and ENCORI online databases. Gene set enrichment analysis (GSEA) was performed to find related signaling pathways of up- and downregulated genes in the microarray dataset. Gene ontology and pathway enrichment analysis were performed by the enrichr database. Protein interaction analysis was performed by STRING online database. Validation of expression and coexpression analyses was performed using a qRT-PCR experiment. Based on bioinformatics analyses, THBS2 (FC: 7.14, FDR < 0.0001) has a significantly high expression in GC samples. lncRNAs BAIAP2-AS1, TSIX, and LINC01215 have RNA interaction with THBS2. BAIAP2-AS1 (FC: 1.44, FDR: 0.018), TSIX (FC: 1.34, FDR: 0.038), and LINC01215 (FC: 1.19, FDR: 0.046) have significant upregulation in GC samples. THBS2 has a significant role in the regulation of the ECM-receptor signaling pathway. miR-4677-5p has a significant RNA interaction with THBS2. The expression level of THBS2, BAIAP2-AS1, TSIX, and LINC01215 has a nonsignificant negative correlation with the survival rate of GC patients (HR: 0.28, logrank p: 0.28). qRT-PCR experiment validates mentioned bioinformatics expression analyses. BAIAP2-AS1 (AUC: 0.7136, p value: 0.0096), TSIX (AUC: 0.7456, p value: 0.0029), and LINC01215 (AUC: 0.7872, p value: 0.0005) could be acceptable diagnostic biomarkers of GC. BAIAP2-AS1, lncRNA LINC01215, lncRNA TSIX, and miR-4677-5p might modulate the ECM-receptor signaling pathway via regulation of THBS2 expression level, as the high-expressed noncoding RNAs in GC. Furthermore, mentioned lncRNAs could be considered potential diagnostic biomarkers of GC.

Combination of Cefotaxime and Cisplatin Specifically and Selectively Enhances Anticancer Efficacy in Nasopharyngeal Carcinoma.

HMOX1 has a dual role in cancers, especially involving chemoresistance. We demonstrate that cephalosporin antibiotics exert strong anticancer activity in nasopharyngeal carcinoma mainly via drastic upregulation of HMOX1. Cephalosporin antibiotics are commonly used for the treatment or prophylaxis of bacterial infectious diseases in cancer patients. It is unknown whether they lead to chemoresistance in cancer patients, especially in nasopharyngeal carcinoma patients, who are being treated or required prophylaxis for an infectious syndrome with cephalosporin antibiotics. MTT and clonogenic colony formation assays assessed the viability and proliferation of cultured cancer cells. Flow cytometry was used to detect apoptosis. Tumor growth was assessed using a xenograft model. Microarray and RT-qPCR expression analyses investigated differential gene expression. Cefotaxime enhanced anticancer efficacy of cisplatin in nasopharyngeal carcinoma without enhancing the toxic side effects both in vitro and in vivo. However, cefotaxime significantly reduced the cytotoxicity of cisplatin in other cancer cell lines. Cefotaxime and cisplatin co-regulated 5 differential genes in CNE2 cells in a direction supporting the enhancement of anticancer efficacy, of which, THBS1 and LAPTM5 were further upregulated, STAG1, NCOA5, and PPP3CB were further downregulated. Out of the 18 apoptotic pathways significantly enriched in the combination group, THBS1 and HMOX1 overlapped in 14 and 12 pathways, respectively. Extrinsic apoptotic signaling pathway (GO: 2001236) was the only apoptotic pathway commonly enriched in cefotaxime group, cisplatin group and combination group, and THBS1 and HMOX1 were the overlapped genes of this pathway. THBS1 also overlapped in P53 signaling pathway and ECM-receptor interaction signaling pathway enriched by KEGG. Cephalosporin antibiotics are chemosensitizers of conventional chemotherapeutic drugs in the chemotherapy of nasopharyngeal carcinoma, but they may lead to chemoresistance by cytoprotection in other cancers. Cefotaxime and cisplatin co-regulate THBS1, LAPTM5, STAG1, NCOA5 and PPP3CB suggesting their involvement in the enhancement of anticancer efficacy in nasopharyngeal carcinoma. Targeting of P53 signaling pathway and ECM-receptor interaction signaling pathway was correlated to the enhancement. With additional benefit for treatment or prophylaxis of an infectious syndrome, cephalosporin antibiotics can benefit the therapy of nasopharyngeal carcinoma either as anticancer agents or as chemosensitizers of chemotherapeutic drugs in combination chemotherapy.

Multi-omics analysis of bone marrow mesenchymal stem cell differentiation differences in osteoporosis

Osteoporosis is a systemic skeletal disease characterized by low bone mass and degradation of bone tissue microarchitecture, leading to enhanced bone fragility and increased fracture risk. However, the pathogenesis of osteoporosis is unclear. Our results showed that BMSCs dervied from ovariectomized rats had a higher capacity for osteogenesis and lipogenic differentiation compared to the control group. In the meantime, we identified a total of 205 differentially expressed proteins and 2294 differentially expressed genes in BMSCs isolated from ovariectomized rats by proteomics analysis and transcriptome sequencing, respectively. These differentially expressed proteins and genes were mainly involved in ECM-receptor interaction signaling pathway. We speculate that BMSCs derived from ovariectomized rats have a higher potential for bone formation because expression of ECM collagen or genes encoding collagen in the bone ECM in BMSCs isolated from ovariectomized rats are increased compared with that from control group, which provided the prerequisite for the increased bone turnover effect. To conclusion, our results may provid new ideas for further research on the pathogenesis of osteoporosis.

Identification of MicroRNAs Regulating Clostridium perfringens Type C Infection in the Spleen of Diarrheic Piglets

Clostridium perfringens (C. perfringens) type C is one of the common bacteria in piglet diarrhea, which seriously affects the swine industry's development. The spleen plays crucial roles in the resistance and elimination of pathogenic microorganisms, and miRNAs play important roles in regulating piglet diarrhea caused by pathogens. However, the mechanism by which miRNAs in the spleen are involved in regulating C. perfringens type C causing diarrhea in piglets remains unclear. The expression profiles of the spleen miRNAs of 7-day-old piglets challenged by C. perfringens type C were studied using small RNA-sequencing in control (SC), susceptible (SS), and resistant (SR) groups. Eight-eight differentially expressed miRNAs were screened. The KEGG pathway analysis of target genes revealed that the miRNAs were involved in the MAPK, p53, and ECM-receptor interaction signaling pathways. NFATC4 was determined to be a direct target of miR-532-3p and miR-133b using a dual-luciferase reporter assay. Thus, miR-133b and miR-532-3p targeted to NFATC4 were likely involved to piglet resistance to C. perfringens type C. This paper provides the valuable resources to deeply understand the genetic basis of C. perfringens type C resistance in piglets and a solid foundation to identify novel markers of C. perfringens type C resistance.

Transcriptome Analysis Provides Insights into Copulation, Fertilization, and Gestation in Sebastes schlegelii.

Among the viviparous marine teleosts of China, the black rockfish (Sebastes schlegelii Hilgendorf) is one of the most economically important. In addition to copulation and internal fertilization, it features lengthy sperm storage in the female ovary as well as a high rate of abortion. A network of gene regulation is necessary for these processes. To elucidate the mechanisms of copulation, fertilization, and gestation, it is essential to determine the genetic basis of viviparous teleost oogenesis and embryogenesis. In this study, we analyzed the transcriptome of the ovary during different developmental phases to investigate the dynamic changes that occur. We constructed 24 ovary transcriptomes. In order to investigate the regulation of embryogenesis, differentially expressed genes (DEGs) with specific expression patterns were subjected to gene ontology annotation, pathway analyses, and weighted gene co-expression network analysis (WGCNA). The up-regulated genes were significantly enriched in focal adhesion, regulation of the actin cytoskeleton, Wnt, and ECM-receptor interaction signaling pathways. As a result of our study, we provide omics evidence for copulation, fertilization, and gestation in viviparous marine teleosts. Decoding the S. schlegelii gene regulation network, as well as providing new insights into embryogenesis, is highly valuable to researchers in the marine teleost reproduction sciences.

Transcriptional Characteristics Showed That miR-144-y/FOXO3 Participates in Embryonic Skin and Feather Follicle Development in Zhedong White Goose.

Simple SummaryFeather is one of the most valuable and economical products in goose farming and plays a crucial physiological role in birds. For avian biology and the poultry industry, it is essential to comprehend and regulate how skin and feather follicles develop during embryogenesis. This study showed that several key regulatory genes (FOXO3, CTGF, and PTCH1, among others) and miRNAs (miR-144-y) participated in the developmental process of the skin and feather follicles in Zhedong white goose. Our findings are particularly important because they will serve as a valuable resource for upcoming studies on down feathers in agricultural economic growth regarding complex molecular mechanisms and breeding techniques.Skin and feather follicle development are essential processes for goose embryonic growth. Transcriptome and next-generation sequencing (NGS) network analyses were performed to improve the genome of Zhedong White goose and discover the critical genes, miRNAs, and pathways involved in goose skin and feather follicle morphogenesis. Sequencing output generated 6,002,591,668 to 8,675,720,319 clean reads from fifteen libraries. There were 1234, 3024, 4416, and 5326 different genes showing differential expression in four stages, E10 vs. E13, E10 vs. E18, E10 vs. E23, and E10 vs. E28, respectively. The differentially expressed genes (DEGs) were found to be implicated in multiple biological processes and pathways associated with feather growth and development, such as the Wnt signaling pathway, cell adhesion molecules, ECM–receptor interaction signaling pathways, and cell cycle and DNA replication pathways, according to functional analysis. In total, 8276 DEGs were assembled into twenty gene profiles with diverse expression patterns. The reliability of transcriptome results was verified by real-time quantitative PCR by selecting seven DEGs and five miRNAs. The localization of forkhead box O3 (FOXO3), connective tissue growth factor (CTGF), protein parched homolog1 (PTCH1), and miR-144-y by in situ hybridization showed spatial-temporal expression patterns and that FOXO3 and miR-144-y have an antagonistic targeting relationship. The correlation coefficient of FOXO3 and miR-144-y was -0.948, showing a strong negative correlation. Dual-luciferase reporter assay results demonstrated that miR-144-y could bind to the expected location to suppress the expression of FOXO3, which supports that there is a targeting relationship between them. The detections in this report will provide critical insight into the complex molecular mechanisms and breeding practices underlying the developmental characteristics of skin and feather follicles in Zhedong white geese.

Retinoic acid promotes formation of chicken (Gallus gallus) spermatogonial stem cells by regulating the ECM-receptor interaction signaling pathway.

Spermatogonial stem cells (SSCs) are the basis of spermatogenesis. Systematically exploring the critical factors associated with the formation of SSCs will provide new insight to improve the formation efficiency, and their practical application. Here we explore the regulatory mechanism of the ECM-receptor interaction signaling pathway and related genes during differentiation of SSCs in chicken. Firstly, the positive cell rate of SSCs protein marker was detected by immunofluorescence and flow cytometry and qRT-PCR was used to identify, the expression of related marker genes after 10days of RA-induction. Secondly, the ESCs on 0d/ 4d /10d after RA- induction/self-differentiation were collected, and the total RNA was then extracted from cells. Finally, high-throughput analysis methods (RNA-seq) were used to sequence the transcriptome of these cells. After PCA analysis of the RNA-seq data, Venny analysis, GO and KEGG enrichment were further used to find the key signaling pathways and genes in the RA-induction process. The results showed that on day 10 of RA-induction, grape cluster growth cells expressed integrinβ1, the specific marker protein of SSCs cells, and the integrinβ1 positive rate was 35.1%. Also, SSCs marker genes CVH, Integrinβ1, Integrinα6 were significantly up-regulated during RA-induction. Moreover, the significantly enriched pathway, ECM-receptor interaction signaling, in current study may play a crucial role in RA-induction. Then, JASPAR was used to predict the differential gene transcription factors in the signaling pathway, finding that RA receptor was a transcription factor of COL5A1, COL5A2 and COL3A1. The qRT-PCR results showed that the expression levels of RA receptors (RXRA, RARA and RXRG) and the predicted genes (COL5A1, COL5A2 and COL3A1) were both significantly increased during RA-induction. Also, dual-luciferase reporter assay showed that RA could affect the luciferin activities of COL5A1, COL5A2 and COL3A1. These results suggest that RA plays a crucial role in the formation of chicken spermatogonial stem cells via the transcription levels of COL5A1, COL5A2 and COL3A1 to regulate the ECM-receptor interaction signaling pathway. Additionally, knockdown of COL5A1/COL5A2/COL3A1 could effectively reduce the formation efficiency of SSCs. This indicated that the interference of RA receptor binding genes in the ECM-receptor interaction signaling pathway could decrease the efficiency of RA induced SSCs formation. Therefore, this study concludes that RA promotes formation of chicken spermatogonial stem cells by regulating the ECM-receptor interaction signaling pathway.

One-Pot Enzymatic Synthesis and Biological Evaluation of Ganglioside GM3 Derivatives as Potential Cancer Immunotherapeutics.

Cancer is a leading cause of death worldwide. Recent research studies have revealed that GM3 derivatives have considerable promise as potential therapeutic agents for cancer. To discover novel GM3 derivatives as potential antitumor agents, a one-pot enzymatic synthesis was established, yielding 14 GM3 derivatives in high total yields (22-41%). Subsequently, the inhibitory activities of GM3 derivatives were assessed by wound-healing assays and Transwell assays and tumor-bearing animal models. Among all the GM3 derivatives, N-12 showed excellent migration and invasion inhibitory effects in cells and marked antitumor activity in C57BL/6 mice. The subsequent analysis of cancer tissues and serum samples revealed that N-12 induces tumor inhibition, which was closely related to immune response. Taken together, N-12 can be further developed as an effective therapeutic for the treatment of cancer. An RNA-sequencing (RNA-seq) analysis was then performed and indicated that the antitumor mechanism of N-12 involved focal adhesion and ECM-receptor interaction signaling pathways.

TAMI-11. INCREASED M1 MACROPHAGE INFILTRATION CORRELATED WITH POOR PROGNOSIS OF WHO IV GLIOMAS

Abstract BACKGROUND Gliomas are the malignancy with a poor prognosis. Our previous database mining study demonstrated that M1 macrophage infiltration predicted the survival of GBM patients. Here in this study, we further explored the findings. METHODS RNA-seq was performed on 90 WHO IV glioma tissue samples. The sequencing data was investigated with xCell for the cell infiltration levels, and the M1 macrophage infiltration was further analyzed for the prognostic prediction effect with overall survival (OS) data. Differentially expressed genes (DEGs) were calculated between groups and the hub genes were determined by the MCC models in Cytoscape. The survival risk score (SRS) calculating models were established by several machine learning methods, including the least absolute shrinkage and selection operator (LASSO), generalized linear model (GLM), and linear discriminant analysis (LDA). RESULTS Compared with M1 macrophages none infiltration, WHO IV gliomas with M1 macrophages infiltration was associated with poor prognosis, and this result remained significant in multivariate analyses (hazard ratio [HR], 0.219; 95% CI, 0.047–0.723; P = 0.035). Protein-to-protein (PPI) network analysis of top 200 up-regulated DEGs determined 10 hub genes (P4HB, PDIA6, LAMB1, PRKCSH, CSF1, LAMB2, LGALS1, RCN1, CALU, and TNC). Further analysis determined that the 10 hub genes were enriched in the ECM-receptor interaction signaling pathway, and six out of the ten gene expressions were confirmed by immunohistochemistry staining. Based on the 6 genes, a survival risk score (SRS) was established by machine learning methods. SRS was able to distinguish the high-risk and low-risk WHO IV gliomas with an AUC = 0.80 [95% CI: 0.74 – 0.86, P &amp;lt; 0.01]. CONCLUSIONS M1 macrophage infiltration was an unfavorable prognostic biomarker for WHO IV gliomas. ECM-receptor interaction signaling pathway was involved in M1 macrophage infiltration. Hub genes in the signaling pathway could be the potential therapeutic targets for WHO IV gliomas.

LncRNA SOCS2-AS1 promotes the progression of glioma via regulating ITGB1 expression

BackgroundAccumulating evidence has underscored the important role of long non-coding RNAs (lncRNAs) in the development and progression of glioma. However, the role of lncRNA SOCS2-AS1 in glioma is largely unknown. MethodslncRNA SOCS2-AS1 silencing was achieved by specific siRNAs. Proliferation of glioma cell line after lncRNA SOCS2-AS1 silencing was examined by MTT assay, Transwell assay was used to confirm changes of invasion and migration of glioma cells, and study the molecular mechanism of lncRNA SOCS2-AS1 by RT-qPCR and bioinformatics analysis. ResultsWe identified that lncRNA SOCS2-AS1 was significantly upregulated in glioma, and its overexpression was closely related with malignant clinical features and poor prognosis. To explore the cellular function of SOCS2-AS1, we performed loss-of function assays in two glioma cells. We demonstrated that SOCS2-AS1 knockdown repressed glioma cell proliferation, migration and invasion. Mechanistically, SOCS2-AS1 expression was positively correlated with the expression levels of core factors ITGB1 of ECM-receptor interaction signaling pathway in glioma. Moreover, SOCS2-AS1 knockdown suppressed ITGB1 expression in glioma cells. Finally, rescue assays were carried out to determine that ITGB1 involved in SOCS2-AS1-mediated glioma cell proliferation, migration and invasion. ConclusionOur findings provided the first evidence suggested that SOCS2-AS1 promoted the progression of glioma via upregulating ITGB1 expression.

Proteomics analysis of the secondary hair follicle cycle in Liaoning cashmere goat

Cashmere is an important economic resource for the agricultural industry. The secondary hair follicle cycle can control the yield and quality of cashmere. Therefore, to improve the yield and quality of cashmere in Liaoning cashmere goats, an understanding of the skin proteomic changes in the secondary hair follicle cycle is needed. In this study, we used a label-free proteomics approach to analyze the protein expression profile of the secondary hair follicle cycle at three stages (telogen, anagen, and catagen) in goat neck skin. Proteomics, bioinformatics, and immunofluorescence assays were employed. We identified 57 differentially abundant proteins (DAPs) and discovered that the proteins of the keratin family were highly expressed in the anagen and catagen phases. The analyses indicated that nine keratin proteins (KRT25, KRT27, KRT19, KRT10, KRT77, KRT1, KRT24, KRT14, and KRT4) can be regarded as markers of the hair follicle cycle. KRT1 was located in both the inner and outer root sheath, whereas KRT14 was located in the inner root sheath and KRT19 only in the outer sheath. Phylogenetic analysis showed that these nine keratin proteins have common evolutionary precursors, and each category has similar expression patterns. Functional enrichment analysis indicated that the estrogen and ECM-receptor interaction signaling pathways play important roles in secondary hair follicle phases/cycles. These findings provide an important resource for protein information related to cashmere goats, and the identified DAPs can be further applied to improve cashmere quality and production.

Transcriptomic Analyses of the Hypothalamic-Pituitary-Gonadal Axis Identify Candidate Genes Related to Egg Production in Xinjiang Yili Geese.

Simple SummaryTranscriptome is the study of gene expression at the RNA level. In this study, high-throughput transcriptome sequencing technology was used to compare and analyze the gene expression differences in the hypothalamus, pituitary, and ovary tissues of Xinjiang Yili geese with high and low egg production. We preliminarily screened 30 candidate genes related to egg production regulation of Xinjiang Yili geese, including the calcium signaling pathway. Therefore, this study laid a theoretical foundation for further elucidating the molecular mechanism of egg production of Yili geese in Xinjiang.The study was conducted to investigate the transcriptomic differences of the hypothalamic-pituitary-gonadal axis between Xinjiang Yili geese with high and low egg production and to find candidate genes regulating the egg production of Xinjiang Yili geese. The 8 selected Xinjiang Yili Geese with high or low egg production (4 for each group) were 3 years old, with good health, and under the same feeding condition. High-throughput sequencing technology was used to sequence cDNA libraries of the hypothalami, pituitary glands, and ovaries. The sequencing data were compared and analyzed, and the transcripts with significant differences were identified and analyzed with bioinformatics. The study showed that the transcriptome sequencing data of the 24 samples contained a total of 1,176,496,146 valid reads and 176.47 gigabase data. Differential expression analyses identified 135, 56, and 331 genes in the hypothalami, pituitary glands, and ovaries of Xinjiang Yili geese with high and low egg production. Further annotation of these differentially expressed genes in the non-redundant protein sequence database (Nr) revealed that 98, 52, and 309 genes were annotated, respectively. Through the annotations of GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) databases, 30 candidate genes related to the egg production of Xinjiang Yili geese were preliminarily selected. The gap junction, focal adhesion, and ECM-receptor interaction signaling pathways were enriched with the hypothalamic, pituitary, and ovarian differentially expressed genes, and the calcium signaling pathway was enriched with the pituitary and ovarian differentially expressed genes. Thus, these pathways in the hypothalamic-pituitary-gonadal axis may play an important role in regulating egg production of Xinjiang Yili geese. The results provided the transcriptomic information of the hypothalamic-pituitary-gonadal axis of Xinjiang Yili geese and laid the theoretical basis for revealing the molecular mechanisms regulating the egg-laying traits of Xinjiang Yili geese.

Transforming growth factor-β makes the key characteristics of the proteome CD133- differentiated cells closer to CD133+ cancer stem cells of glioblastoma

Abstract Background Invasive growth of glioblastoma multiforme (GBM) is associated with CD133 + cancer stem cells (CSCs) and differentiated CD133- glioblastoma cells (DGCs) formed under the influence of transforming growth factor (TGF-β). The aim of the study was a comparison of CD133+ CSCs and CD133- DGCs proteomes stimulated by TGFβ. Methods The human GBM U87MG cell line was cultured with a set of growth factors to obtain CSCs. CSCs were extracted through magnetic-activated cell sorting based on the expression of 133 cluster of differentiation; CD133- DGCs were used as a control. Differentiated glioblastoma cells (CD133- DGCs) were stimulated of TGF-β1. Highperformance liquid chromatography-mass spectrometry (HPLC-MS) was used for proteome analysis. Results 589 proteins that significantly changed expression in CD133+ CSCs compared to (P Conclusion TGF-β enhances expression of the ECM-receptor interaction signaling pathway proteins in CD133- DGCs differentiated GBM cells to the level of cancer CD133+ stem cells. Legal entity responsible for the study Far Eastern Federal University. Funding Ministry of Science and Higher Education of the Russian Federation (grant no. 14.584.21.0027; ID: RFMEFI58417X0027). Disclosure All authors have declared no conflicts of interest.

Extracellular Matrix-receptor Interaction Signaling Genes Associated with Inferior Breast Cancer Survival.

Breast cancer is a common type of cancer in women, and metastasis frequently leads to therapy failure. Using next-generation sequencing (NGS), we aspired to identify the optimal differentially expressed genes (DEGs) for use as prognostic biomarkers for breast cancer. NGS was used to determine transcriptome profiles in breast cancer tissues and their corresponding adjacent normal tissues from three patients with breast cancer. Herein, 15 DEGs (fold change >4 and <0.25) involved in extracellular matrix (ECM)-receptor interaction signaling were identified through NGS. Among them, our data indicated that high HMMR expression levels were correlated with a poor pathological stage (p<0.001) and large tumor size (p<0.001), whereas high COL6A6 and Reelin (RELN) expression levels were significantly correlated with an early pathological stage (COL6A6: p=0.003 and RELN: p<0.001). Multivariate analysis revealed that high HMMR and SDC1 expression levels were significantly correlated with poor overall survival (OS; HMMR: adjusted hazard ratio [aHR] 1.93, 95% confidence interval [CI]=1.10-3.41, p=0.023; SDC1: [aHR] 2.47, 95%CI=1.28-4.77, p=0.007) for breast cancer. Combined, the effects of HMMR and SDC1 showed a significant correlation with poor OS for patients with breast cancer (high expression for both HMMR and SDC1: [aHR] 3.29, 95%CI=1.52-7.12, p=0.003). These findings suggest that HMMR and SDC1 involved in the ECM-receptor interaction signaling pathway could act as effective independent prognostic biomarkers for breast ductal carcinoma.