Elevated expression of AGGF1 predicts poor prognosis and promotes the metastasis of colorectal cancer

Decreased AGGF1 facilitates the progression of placenta accreta spectrum via mediating the P53 signaling pathway under the regulation of miR-1296-5p

Placenta accreta spectrum (PAS), an emerging health issue worldwide, is the major causative factor of maternal morbidity and mortality in modern obstetrics, but limited studies have contributed to our understanding of the molecular biology of PAS. This study addressed the expression of AGGF1 and its specific role in the etiology of PAS. The expression of AGGF1 in the placentas of PAS was determined by quantitative PCR, western blot and immunohistochemistry. CCK-8 assay, wound healing assay, Transwell invasion assay and flow cytometry assay were performed to monitor cell proliferation, migration, invasion and apoptosis. The interaction between miR-1296-5p and AGGF1 was detected by dual-luciferase reporter gene assay. Results showed that the mRNA and protein expression of AGGF1 was decremented in placental tissues of PAS patients, compared with samples from women with placenta previa and normal pregnant women. Downregulation of AGGF1 promoted cell proliferation, invasion and migration, inhibited apoptosis in vitro, decreased P53 and Bax expression, and simultaneously increased Bcl-2 expression, whereas overexpression of AGGF1 had the opposite results. Additionally, the dual-luciferase assay confirmed AGGF1 as a target gene of miR-1296-5p in placental tissues of PAS. Particularly, miR-1296-5p fostered HTR8/SVneo cell proliferation, invasion, repression of apoptosis and regulation of P53 signaling axis by downregulating AGGF1 expression. Collectively, our study accentuated that downregulation of placental AGGF1 promoted trophoblast over-invasion by mediating the P53 signaling pathway under the regulation of miR-1296-5p.

Downregulation of SLC9A8 Promotes Epithelial-Mesenchymal Transition and Metastasis in Colorectal Cancer Cells via the IL6-JAK1/STAT3 Signaling Pathway

BACKGROUND

SLC9A8 has been shown to be involved in mucus layer formation, intestinal mucosal integrity, and hyperproliferation of colitis-associated tumor development. However, its effects on the epithelial-mesenchymal transition (EMT) and the metastasis of colorectal cancer (CRC) remain unknown.

AIMS

To explore whether SLC9A8 participates in EMT and the metastasis of CRC.

METHODS

Western blotting and immunohistochemistry were performed to evaluate the expression of SLC9A8 in CRC patients. At the cellular level, the effect of SLC9A8 on proliferation, migration, and invasion was measured using cell viability analysis, flow cytometry analysis, and Transwell assays. Mouse tumor xenograft and metastasis models were established to analyze whether knockdown of SLC9A8 increased tumor volume, tumor weight, and metastasis. Moreover, whether downregulated expression of SLC9A8 promotes EMT via activation of the IL6-JAK1-STAT3 signaling pathway was investigated.

RESULTS

SLC9A8 protein was downregulated in CRC tissues, and this downregulation was significantly associated with tumor size, lymph node status, pTNM stage, and poor prognosis. SLC9A8 overexpression markedly suppressed cell proliferation, migration, and invasion. Downregulation of SLC9A8 promoted CRC cell proliferation, migration, and invasion. Moreover, knockdown of SLC9A8 also increased tumor volume, tumor weight, and metastasis in vivo. Meanwhile, downregulation of SLC9A8 significantly promoted the in vitro migration of CRC cells via EMT by activating the IL6-JAK1/STAT3 signaling pathway.

CONCLUSIONS

Downregulation of SLC9A8 plays an important role in EMT and metastasis of CRC progression and may become a new potential therapeutic target for the treatment of CRC.

Identification and characterization of a special type of subnuclear structure: AGGF1-coated paraspeckles

AGGF1 is an angiogenic factor with G-Patch and FHA domains 1 described by our group. Gain-of-function mutations in AGGF1 cause Klippel-Trenaunay syndrome, whereas somatic loss-of-function mutations cause cancer. Paraspeckles are small membraneless subnuclear structures with a diameter of 0.5-1 μm, and composed of lncRNA NEAT1 as the scaffold and three core RNA-binding proteins NONO, PSPC1, and PSF. Here, we show that AGGF1 is a key regulatory and structural component of paraspeckles that induces paraspeckle formation, forms an outside rim of paraspeckles, wraps around the NONO/PSF/PSPC1/NEAT1 core, and regulates the size and number of paraspeckles. AGGF1-paraspeckles are larger (>1 μm) than conventional paraspeckles. RNA-FISH in combination with immunostaining shows that AGGF1, NONO, and NEAT1_2 co-localize in 20.58% of NEAT1_2-positive paraspeckles. Mechanistically, AGGF1 interacts with NONO, PSF, and HNRNPK, and upregulates NEAT1_2, a longer, 23 kb NEAT1 transcript with a key role in regulation of paraspeckle size and number. RNA-immunoprecipitation shows that AGGF1 interacts with NEAT1, which may be another possible mechanism underlying the formation of AGGF1-paraspeckles. NEAT1_2 knockdown reduces the number and size of AGGF1-paraspeckles. Functionally, AGGF1 regulates alternative RNA splicing as it decreases the exon skipping/inclusion ratio in a CD44 model. AGGF1 is also localized in some nuclear foci without NEAT1 or NONO, suggesting that AGGF1 is an important liquid-liquid phase separation (LLPS) driver for other types of AGGF1-positive nuclear condensates (referred to as AGGF1-bodies). Our results identify a special type of AGGF1-coated paraspeckles and provide important insights into the formation, structure, and function of paraspeckles.

Neuroprotective effect of AGGF1 against isoflurane-induced cognitive dysfunction in aged rats through activating the PI3K/AKT signaling pathways

PURPOSE

This study aimed to evaluate and identify the value and explore the mechanisms of Angiogenic Factor with G-patch and FHA domains 1 (AGGF1) in postoperative cognitive dysfunction (POCD).

METHODS

Rats were separated into four different groups, namely sham, isoflurane, isoflurane + recombinant human Aggf1 (rh-Aggf1) (5 μg kg-1), and isoflurane + rh-Aggf1 (10 μg kg-1). qPCR and western blot assays were applied to detect the correlation between the expression of AGGF1 and isoflurane administration. Then, the Morris water maze (MWM) test was applied to evaluate the effect of AGGF1 on improving the POCD rats. Subsequently, TUNEL assay was applied and the cell apoptosis-related proteins were tested to reveal the anti-apoptotic effect of AGGF1 in POCD rats. Furthermore, the mRNA and protein levels of TNF-α, IL-6, and IL-1β were also detected by qPCR and ELISA to verify the anti-inflammatory effects of AGGF1 on POCD rats. Besides, the protein expression levels of PI3K, Akt, and NF-κB in each group were examined by western blot.

RESULTS

In this study, the results revealed that isoflurane induced a decrease in AGGF1 expression in the hippocampus of aged rats. In addition, exogenous AGGF1 attenuated POCD in aged rats. Meanwhile, exogenous AGGF1 had anti-apoptotic and anti-inflammatory effects in POCD rats. Further research indicated that AGGF1 activated the PI3K/Akt pathway.

CONCLUSION

AGGF1 has neuroprotective effect against isoflurane-induced cognitive dysfunction in aged rats via activating the PI3K/AKT signaling pathways.

Construction and validation of a prognostic risk model of angiogenesis factors in skin cutaneous melanoma

Melanoma can secrete tumor angiogenesis factors, which is the essential factor for tumor growth and metastasis. However, there are few reports on the relationship between angiogenesis factors and prognosis risk in melanoma. This study aimed to develop a prognostic risk model of angiogenesis for melanoma. Forty-nine differentially expressed angiogenesis were identified from the TCGA database, which were mainly involved in PI3K/Akt pathway, focal adhesion, and MAPK signaling pathway. We then establish an eleven-gene signature. The model indicated a strong prognostic capability in both the discovery cohort and the validation cohort. Patients of smaller height (<170 cm) and lower weight (<80 kg) and those with advanced-stage and ulcerated melanoma had higher risk scores. The risk score was positively correlated with mutation load, homologous recombination defect, neoantigen load and chromosome instability. In addition, the high-risk group had a higher degree of immune cell infiltration, better response to immunotherapy and lower immune score. Therefore, these results indicate that the risk model is an effective method to predict the prognosis of melanoma.

Identification and Validation of Angiogenesis-Related Gene Expression for Predicting Prognosis in Patients With Ovarian Cancer

Ovarian cancer (OC) is a highly heterogeneous disease with different cellular origins reported; thus, precise prognostic strategies and effective new therapies are urgently needed for patients with OC. A growing number of studies have shown that most malignancies have intensive angiogenesis and rapid growth. Therefore, angiogenesis plays an important role in the development of tumor metastasis. However, the prognostic value of angiogenesis-related genes (ARGs) in OC remains to be further elucidated. In this study, the expression data and corresponding clinical data from patients with OC and normal control samples were downloaded with UCSC XENA. A total of 1,960 differentially expressed ARGs were screened and functionally annotated through Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Univariate Cox regression analysis was performed to identify ARGs associated with prognosis. New ARGs signatures (including ESM1, CXCL13, TPCN2, PTPRD, FOXO1, and ELK3) were constructed for the prediction of overall survival (OS) in OC based on the least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis. Patients were divided based on their median risk score. In the The Cancer Genome Atlas (TCGA) training dataset, the survival analysis showed that overall survival was lower in the high-risk group than that in the low-risk group (p < 0.0001). The International Cancer Genome Consortium (ICGC) database was used for validation, and the receiver operating characteristic (ROC) curves showed good performance. Univariate and multivariate Cox analyses were conducted to identify independent predictors of OS. The nomogram, including the risk score, age, stage, grade, and position, can not only show good predictive ability but also can explore the correlation analysis based on ARGs for immunogenicity, immune components, and immune phenotypes with risk score. Risk scores were correlated strongly with the type of immune infiltration. Furthermore, homologous recombination defect (HRD), NtAIscore, LOH score, LSTm score, stemness index (mRNAsi), and stromal cells were significantly correlated with risk score. The present study suggests that the novel signature constructed from six ARGs may serve as effective prognostic biomarkers for OC and contribute to clinical decision making and personalized prognostic monitoring of OC.

Expression and Clinical Significance of the NCAPH, AGGF1, and FOXC2 Proteins in Serous Ovarian Cancer

Purpose

Recurrence and metastasis are the most common causes of high mortality rates in patients with serous ovarian cancer (SOC). Non-structural maintenance of chromosomes (non-SMC) condensin I complex subunit H (NCAPH) is a newly identified essential oncoprotein whose function in SOC pathogenesis has not been reported yet. Angiogenic factor with G patch and FHA domains 1 (AGGF1) is an effective promoter of angiogenesis in humans, leading to cancer cell infiltration and progression. Forkhead box C2 (FOXC2) plays a pivotal role in epithelial-to-mesenchymal transition (EMT). The present study analyzed the correlations among the expressions of these three proteins and their relationships with the clinicopathological characteristics and survival of patients with SOC.

Patients and Methods

The expressions of NCAPH, AGGF1, and FOXC2 were detected by the immunohistochemical examination of 153 SOC tissue samples and 30 serous ovarian cystadenoma tissue samples. Clinicopathologic and follow-up data of the patients were collected.

Results

The expressions of NCAPH, AGGF1, and FOXC2 were remarkably higher in the SOC tissue samples than in the serous ovarian cystadenoma tissue samples. The protein expressions were positively correlated with the histological tumor grade, the International Federation of Gynecology and Obstetrics (FIGO) stage, lymph node metastasis, and intraperitoneal implantation, but were negatively correlated with the overall survival (OS). Moreover, multivariate analysis showed that the NCAPH, AGGF1, and FOXC2 expressions, FIGO stage, and histological tumor grade were independent adverse prognostic factors for OS in patients with SOC.

Conclusion

The results of this study show that the expressions of NCAPH, AGGF1, and FOXC2 are promising biomarkers and possible therapeutic targets in patients with SOC.

The Relationship Between UBE2C and AGGF1 Overexpression and Tumor Angiogenesis in Non-Small Cell Lung Cancer

Background

Tumor infiltration and metastasis are the leading causes of death for patients with tumors. Angiogenesis is a prerequisite for tumor growth and metastasis. Angiogenic factor with G patch and FHA domains 1 (AGGF1) is an angiogenic factor, whereas ubiquitin-conjugating enzyme E2C (UBE2C) functions in protein ubiquitination. Microvessel density (MVD) is the most common indicator of tumor microvessels, and vasculogenic mimicry (VM) facilitates blood supply to tumors. This study explored UBE2C and AGGF1 expression in non-small cell lung cancer (NSCLC) and their relationship with angiogenesis and prognosis to identify biological factors that might predict NSCLC infiltration, metastasis, and prognosis.

Methods

The specimens and clinical pathological data of patients with NSCLC confirmed by pathology after surgical resection between January 2013 and December 2015 were collected. UBE2C and AGGF1 expression, as well as microvessel formation and VM in NSCLC, was observed using immunohistochemistry. The relationships between UBE2C, AGGF1, MVD, VM, and clinical pathological parameters and their relationships with overall survival (OS) and disease-free survival (DFS) were analyzed.

Results

UBE2C and AGGF1 levels in NSCLC tissues were significantly higher than those in corresponding normal tissues (57.1% vs 15.6 and 59.7% vs 25.3%, respectively; P < 0.05). UBE2C, AGGF1, MVD, and VM were positively correlated with each other (P < 0.05) and were all related to tumor size, lymph node metastasis, and tumor-node-metastasis stage (P < 0.05). Kaplan–Meier analysis showed that patient OS and DFS in the UBE2C, AGGF1, VM-positive, and high-MVD groups were reduced (all P < 0.001). Univariate and multivariate analyses showed that UBE2C, AGGF1, VM, and MVD were independent risk factors for NSCLC prognosis.

Conclusion

UBE2C and AGGF1 overexpression is associated with angiogenesis and poor prognosis and may be important for predicting NSCLC invasion, metastasis, and prognosis.