Targeting TRPV1 and TRPA1: A feasible strategy for natural herbal medicines to combat postoperative ileus.

Under physiological or pathological conditions, transient receptor potential (TRP) channel vanilloid type 1 (TRPV1) and TRP ankyrin 1 (TRPA1) possess the ability to detect a vast array of stimuli and execute diverse functions. Interestingly, increasing works have reported that activation of TRPV1 and TRPA1 could also be beneficial for ameliorating postoperative ileus (POI). Increasing research has revealed that the gastrointestinal (GI) tract is rich in TRPV1/TRPA1, which can be stimulated by capsaicin, allicin and other compounds. This activation stimulates a variety of neurotransmitters, leading to increased intestinal motility and providing protective effects against GI injury. POI is the most common emergent complication following abdominal and pelvic surgery, and is characterized by postoperative bowel dysfunction, pain, and inflammatory responses. It is noteworthy that natural herbs are gradually gaining recognition as a potential therapeutic option for POI due to the lack of effective pharmacological interventions. Therefore, the focus of this paper is on the TRPV1/TRPA1 channel, and an analysis and summary of the processes and mechanism by which natural herbs activate TRPV1/TRPA1 to enhance GI motility and relieve pain are provided, which will lay the foundation for the development of natural herb treatments for this disease.

Downregulation of HNRNPM inhibits cell proliferation and migration of hepatocellular carcinoma through MAPK/AKT signaling pathway.

Background: HNRNPM is reported to be involved in multiple malignancies, while the prognostic and biological role of HNRNPM in hepatocellular carcinoma remains still unknown. Methods: Public databases and tissue microarrays were employed to identify the expression pattern and prognostic value of HNRNPM in hepatocellular carcinoma. CCK8, cell migration assays and western blot were taken advantage of to discover the biological role of HNRNPM in hepatocellular carcinoma. Western blot and bioinformatics analysis were used to reveal the potential signaling pathways of HNRNPM in hepatocellular carcinoma. Results: High expression of HNRNPM was proved to be a poor independent prognostic factor for overall survival (OS) of hepatocellular carcinoma patients. Tissue microarrays and immunohistochemistry showed that HNRNPM protein level was upregulated in pancreatic cancer tissues compared with normal pancreas. Knockdown of HNRNPM suppressed significantly the capacities of proliferation and migration and alter epithelial mesenchymal transition of hepatocellular carcinoma cells. Downregulation of HNRNPM resulted in inhibition of the MAPK/AKT signaling pathway in hepatocellular carcinoma. Bioinformatics implied that HNRNPM might be a component of spliceosome to participate in hepatocellular carcinoma. Conclusions: This paper identified high expression of HNRNPM was a poor independent prognostic factor for OS of hepatocellular carcinoma and could participate in proliferation and migration through MAPK/AKT signaling pathways.

Identification of SRGAP2 as a potential oncogene and a prognostic biomarker in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the common malignancies worldwide. Slit-Robo GTPase-activating proteins (SRGAPs) have been shown to regulate the occurrence and development of various tumors. However, their specific roles in HCC remain elusive. METHODS: The expression pattern, genetic alteration and prognostic value of SRGAPs in HCC are analyzed by bioinformatics tools. The biological functions of SRGAP2 in HCC cells are demonstrated by in vitro experiments. The high-throughput RNA sequencing is conducted to explore the underlying molecular mechanisms of SRGAP2 in HCC cells. RESULTS: The expression levels of SRGAP1 and SRGAP2 are significantly elevated in HCC tissues compared to the normal both in Oncomine and TCGA datasets, and SRGAP2 are dramatically upregulated both in mRNA and protein levels. Moreover, higher SRGAP2 is significantly related to the clinical stages of HCC. Meanwhile, SRGAP2 might be an independent prognostic indicator, as it correlates negatively with the clinical outcomes of HCC patients. Further SRGAP2-silencing experiments imply that SRGAP2 might remarkably promote the migration and invasion of HCC cells in an EMT-independent pattern. Based on the high-throughput RNA sequencing of SRGAP2-knockdown HCC cells, enrichment and network analyses demonstrate that SRGAP2 is closely associated with cellular metabolic signaling. CONCLUSIONS: Our study firstly illustrates the crucial role of SRGAP2 in the metastasis of HCC and explores its underlying molecular mechanisms. We identify SRGAP2 as a promising prognostic biomarker and a novel therapeutic target for HCC patients.

ARL4C might serve as a prognostic factor and a novel therapeutic target for gastric cancer: bioinformatics analyses and biological experiments.

The ADP-ribosylation factor-like proteins (ARLs) have been proved to regulate the malignant phenotypes of several cancers. However, the exact role of ARLs in gastric cancer (GC) remains elusive. In this study, we systematically investigate the expression status, interactive relations, potential pathways, genetic variations and clinical values of ARLs in GC. We find that ARLs are significantly dysregulated in GC and involved in various cancer-related pathways. Subsequently, machine learning models identify ARL4C as one of the two most significant clinical indicators among ARLs for GC. Furthermore, ARL4C silencing remarkably inhibits the growth and metastasis of GC cells both in vitro and in vivo. Moreover, enrichment analysis indicates that ARL4C is highly correlated with TGF-ß1 signalling. Correspondingly, TGF-ß1 treatment dramatically increases ARL4C expression and ARL4C knockdown inhibits the phosphorylation level of Smads, downstream factors of TGF-ß1. Meanwhile, the coexpression of ARL4C and TGF-ß1 worsens the prognosis of GC patients. Our work comprehensively demonstrates the crucial role of ARLs in the carcinogenesis of GC and the specific mechanisms underlying the GC-promoting effects of TGF-ß1. More importantly, we uncover the great promise of ARL4C-targeted therapy in improving the efficacy of TGF-ß1 inhibitors for GC patients.

TOB1 suppresses proliferation in K-Ras wild-type pancreatic cancer.

TOB1 participates in various kinds of cancers. However, its role in pancreatic cancer has rarely been reported. In this study, we explored the expression and mechanisms of TOB1 in regulating the malignant phenotype of pancreatic cancer cells. TOB1 expression was determined by data mining and immunohistochemistry (IHC), and its localization was observed by immunofluorescence. CCK-8 cell proliferation, colony formation, flow cytometric, transwell migration, and Western blot (WB) assays were used to examine how it impacts the malignant phenotype of pancreatic cancer. Furthermore, Foxa2 binding to TOB1 was tested by dual-luciferase reporter assays, and RNA-Seq was performed to identify signaling pathways. We found TOB1 was downregulated in pancreatic cancer tissues and was mainly located in the cytoplasm. TOB1 overexpression reduced the proliferation of K-Ras wild-type pancreatic cancer cells but made no difference to cell migration and invasion. Foxa2 overexpression significantly enhanced TOB1 promoter activity. Moreover, overexpressing TOB1 substantially enriched the calcium pathway in K-Ras wild-type pancreatic cancer cells. In conclusion, TOB1 may suppress the proliferation of K-Ras wild-type pancreatic cancer cells by regulating calcium pathway genes.

Identification and Verification of Two Novel Differentially Expressed Proteins from Non-neoplastic Mucosa and Colorectal Carcinoma Via iTRAQ Combined with Liquid Chromatography-Mass Spectrometry.

Recurrence or metastasis of colorectal cancer (CRC) is common following surgery and/or adjuvant therapy, particularly in patients with an advanced stage of the cancer. Identifying key molecular markers of CRC is beneficial for early diagnosis and early treatment, which may eventually improve the prognosis of patients with CRC. Isobaric mass tags for relative and absolute quantification (iTRAQ) in combination with multidimensional liquid chromatography and tandem mass spectrometry (LC-MS/MS) were used to identify differentially expressed proteins between CRC tissues and paired adjacent normal mucosa. Among the 105 patients, adenocarcinoma was the most common CRC subtype, stage III was the most common Tumor-Node-Metastasis stage and high levels of Ki-67 indicated the rapid proliferation of tumor cells in the samples. The LC-MS/MS-based iTRAQ technology identified 271 differentially expressed proteins, with 130 upregulated proteins and 141 downregulated proteins. Bioinformatics analysis revealed that golgin subfamily A member 2 (GOLGA2) and heterogeneous nuclear ribonucleoprotein D0 (hnRNPD) were located in the center of the upregulated protein network, and were closely associated with the development of CRC. The upregulation of GOLGA2 and hnRNPD was further verified in human tissues using western blotting and immunohistochemistry. GOLGA2 and hnRNPD were identified as two novels differentially expressed proteins in human CRC. Furthermore, the LC-MS/MS-based iTRAQ proteomic approach is a useful tool for searching and identifying differentially expressed proteins, and may be used to provide a comprehensive understanding of the processes that mediate the development of CRC.

Identification and Verification of the Main Differentially Expressed Proteins in Gastric Cancer via iTRAQ Combined with Liquid Chromatography-Mass Spectrometry.

BACKGROUND: To find the potential intersections between the differentially expressed proteins and abnormally expressed genes in gastric cancer (GC) patients. METHODS: Gastric cancer tissue and adjacent normal mucosa tissue were used for iTRAQ analysis. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction (PPI) analysis were used to evaluate gene function. Western blotting and immunohistochemistry (IHC) were applied to verify the protein expression. RESULTS: A total of 2770 proteins were identified, of which 147 proteins were upregulated and 159 proteins were downregulated. GO analysis revealed that the differentially expressed genes were mainly enriched for the terms "cellular process," "binding," and "cell." The results of the KEGG analysis showed that the most abundantly enriched proteins were involved in the "focal adhesion" pathway. The results of the PPI analysis showed that VCAM1 was located at the center of the PPI network. Western blotting and IHC analysis demonstrated that VCAM1, FLNA, VASP, CAV1, PICK1, and COL4A2 were differentially expressed in GC and adjacent normal tissues, which was consistent with the results of the iTRAQ analysis. CONCLUSION: In conclusion, 6 highly differentially expressed proteins were identified as novel differentially expressed proteins in human GC. This exploratory research may provide useful information for the treatment of gastric cancer in the clinic.

Identification of Upregulated HNRNPs Associated with Poor Prognosis in Pancreatic Cancer.

Heterogeneous nuclear ribonucleoproteins (HNRNPs) are reported to play a crucial role in the pathogenic process of multiple malignancies. However, the expression patterns and prognostic values of HNRNPs in pancreatic cancer (PC) are lacking. In this study, several public databases were explored to identify the commonly upregulated HNRNPs in PC. The clinical significance of HNRNPL (heterogeneous nuclear ribonucleoproteins L) in PC was analyzed. We further performed a series of experiments to elucidate the biological functions of HNRNPL. Bioinformatics analysis including pathway enrichment and interactors with HNRNPL was used to explain the potential mechanisms of HNRNPL in PC pathogenesis. Herein, we reported that HNRNPL was commonly overexpressed in public databases and that high expression of HNRNPL in PC was positively associated with aggressive disease and poor overall survival. Downregulation of HNRNPL suppressed the abilities of migration and epithelial mesenchymal transition of PC cells in vitro, while depletion of HNRNPL did not affect the proliferation rate of PC cells. We further showed that HNRNPL might combine with RNA-binding protein, PTBP1, and function as a part of the spliceosome to regulate alternative splicing of target genes in the occurrence and development of PC. HNRNPL could be employed as an innovative prognostic biomarker and therapeutic target for PC.

Expression and prognosis analyses of the Tob/BTG antiproliferative (APRO) protein family in human cancers.

BACKGROUND: Despite advances in early diagnosis and treatment, cancer remains the major cause of mortality in the world. The Tob/BTG antiproliferative (APRO) protein family is reported to participate in diverse human diseases. However, there's little known about their expression and prognostic values in most human cancers. METHODS: We performed a detailed cancer vs. normal analysis. The mRNA expression levels of APRO family in various cancers were analyzed via the Oncomine database. Moreover, the Kaplan-Meier Plotter and PrognScan databases were used to evaluate the prognostic values. RESULTS: We observed that the mRNA expression levels of TOB1-2 and BTG2 were decreased in most cancers compared with normal tissues, while BTG3 was upregulated in most cancers. In survival analyses based on Kaplan-Meier Plotter, TOB1, BTG1 and BTG4 showed significant associations with survival outcome of different subtypes of breast cancer. Decreased BTG2 was related with poor relapse free survival (RFS) in all subtypes of breast cancer. Especially, besides RFS, reduced BTG2 also indicated worse overall survival and distant metastasis free survival in breast cancer patients who were classified as luminal A. Significant prognostic effects of the whole APRO family were also found in lung adenocarcinoma, but not in squamous cell lung carcinoma. In addition, potential correlations between some APRO family members and survival outcomes were also observed in ovarian, colorectal and brain cancer. CONCLUSIONS: Some members of APRO family showed significant expression differences between cancer and normal tissues, and could be prognostic biomarkers for defined cancer types.