TEAD4 functions as a prognostic biomarker and triggers EMT via PI3K/AKT pathway in bladder cancer

[Licochalcone A induces cell cycle arrest in human lung squamous carcinoma cells via the PI3K/Akt signaling pathway]

OBJECTIVE

To investigate the effect of licochalcone A (LCA) on the proliferation and cell cycle of human lung squamous carcinoma cells and explore its possible molecular mechanism.

METHODS

MTT assay was used to detect the changes in proliferation of H226 cells after treatment with different concentrations of LCA for 48 h, and the IC₅₀ of LCA was calculated. Flow cytometry was used to analyze cell cycle changes in H226 cells treated with 10, 20, and 40 μmol/L LCA, and the expressions of cyclin D1, cyclin-dependent kinase CDK2 and CDK4, and p-PI3K, PI3K, p-Akt, and Akt in the treated cells were detected using Western blotting. The effect of intraperitoneal injection of LCA for 24 days on tumor volume and weight was assessed in a BALB/c-nu mouse model bearing lung squamous carcinoma xenografts.

RESULTS

MTT assay showed that LCA significantly decreased the viability of H226 cells with an IC₅₀ of 28.3 μmol/L at 48 h. Flow cytometry suggested that LCA treatment induced obvious cell cycle arrest at the G1 phase. LCA treatment also significantly decreased the expressions of cyclin D1, CDK2, and CDK4, and inhibited the phosphorylation of PI3K and Akt in H226 cells. In the tumor-bearing mice, LCA treatment for 24 days significantly reduced the tumor volume and weight.

CONCLUSION

LCA is capable of inhibiting the proliferation and inducing cell cycle arrest in lung squamous carcinoma cells possibility by regulating the PI3K/Akt singling pathway.

miR-628-5p is a Potential Novel Prognosis Biomarker, Associated with Immune Infiltration in Bladder Urothelial Carcinoma

BACKGROUND

microRNA-628-5p (miR-628-5p) has a significant impact on certain types of cancer. The precise function of miR-628-5p in the context of bladder urothelial carcinoma (BLCA) remains ambiguous.

OBJECTIVE

We aimed to investigate the role of miR-628-5p in BLCA.

METHODS

The samples were collected from The Cancer Genome Atlas (TCGA). Statistics were employed to evaluate the correlation and predictive significance of miR-628-5p. We analyzed the target genes and regulatory network of miR-628-5p and the correlation between miR-628-5p and immune infiltration. The expression of miR-628-5p in BLCA cells was confirmed by quantitative reverse-transcription PCR (qRT-PCR).

RESULTS

miR-628-5p exhibited differential expression across various types of cancer. There was a significant association between high expression of miR-628-5p and primary therapy outcome (p < 0.05). High expression of miR-628-5p was observed to be associated with poorer overall survival (HR: 1.42; 95% CI: 1.06-1.90; p = 0.02), progress free survival (HR: 1.57; 95% CI: 1.17-2.11; p = 0.003), and disease specific survival (HR: 1.83; 95% CI: 1.28-2.62; p = 0.001) in BLCA. miR-628-5p was an independent prognostic factor in BLCA and may be involved in the development of the disease through various pathways, including focal adhesion, ECM-receptor interaction, PI3K-Akt signaling pathway, and MAPK signaling pathway, and among others. miR-628-5p expression was significantly correlated with immune infiltration in BLCA patients. Compared to normal bladder epithelial cells, BLCA cell lines exhibited a significant upregulation of miR-628-5p.

CONCLUSION

It is possible that miR-628-5p could serve as a hopeful therapeutic target and prognostic biomarker for individuals with BLCA.

PKNOX1 acts as a transcription factor of DHH and promotes the progression of stomach adenocarcinoma by regulating the Hedgehog signalling pathway

BACKGROUND

This study explored the effects and potential mechanism by which PBX/knotted 1 homeobox 1 (PKNOX1) may exacerbate stomach adenocarcinoma (STAD).

METHODS

For the in silico analysis, we examined TCGA-PKNOX1 expression using the UALCAN website, as well as its expression patterns in the GSE172032 and GSE174237 datasets, obtained from the GEO database. The associated patient survival curves, were analysed via the KMplot webtool. In vitro, we measured cell viability, proliferation, migration, and invasion using cell counting kit-8, colony formation, wound healing, and cell migration assays, respectively. Real time qPCR and western blotting assessed the mRNA and protein levels of PKNOX1, Snail, vimentin, N-cadherin, E-cadherin, desert hedgehog (DHH), cyclin D2, glioma-associated oncogene homolog 1, and smoothened. Gene Set Enrichment Analysis was performed using LinkedOmics webtools and the clusterProfiler package in R. Dual-luciferase reporter assay was used to examine the interactions of PKNOX1 with DHH, and of TEA domain transcription factor 4 (TEAD4) with PKNOX1.

RESULTS

PKNOX1 was highly expressed in STAD and linked to poor patient survival. Downregulation of PKNOX1 inhibited STAD cell viability, proliferation, migration, invasion, and epithelial-mesenchymal transition. Upregulation of TEAD4 promoted colony formation and migration, while these effects were reversed by PKNOX1 depletion. Furthermore, PKNOX1 regulated the activation of the hedgehog signalling pathway at the gene level, as we identified PKNOX1 to be a putative transcription factor for DHH that promotes its expression.

CONCLUSION

Our results show that PKNOX1 acts as a candidate transcription factor for DHH and facilitates STAD development by regulating the hedgehog signalling pathway.

A Novel Risk Model for lncRNAs Associated with Oxidative Stress Predicts Prognosis of Bladder Cancer

Background

Oxidative stress (OS) reactions are closely related to the development and progression of bladder cancer (BCa). This project aimed to identify new potential biomarkers to predict the prognosis of BCa and improve immunotherapy.

Methods

We downloaded transcriptomic information and clinical data on BCa from The Cancer Genome Atlas (TCGA). Screening for OS genes was statistically different between tumor and adjacent normal tissue. A coexpression analysis between lncRNAs and differentially expressed OS genes was performed to identify OS-related lncRNAs. Then, differentially expressed oxidative stress lncRNAs (DEOSlncRNAs) between tumors and normal tissues were identified. Univariate/multivariate Cox regression analysis was performed to select the lncRNAs for risk assessment. LASSO analysis was conducted to establish a prognostic model. The prognostic risk model could accurately predict BCa patient prognosis and reveal a close correlation with clinicopathological features. We analyzed the principal component analysis (PCA), immune microenvironment, and half-maximal inhibitory concentration (IC50) in the risk groups.

Results

We constructed a model containing eight DEOSlncRNAs (AC021321.1, AC068196.1, AC008750.1, SETBP1-DT, AL590617.2, THUMPD3-AS1, AC112721.1, and NR4A1AS). The prognostic risk model showed better results in predicting the prognosis of BCa patients and was strongly correlated with clinicopathological characteristics. We found great agreement between the calibration plots and prognostic predictions in this model. The areas under the receiver operating characteristic (ROC) curve (AUCs) at 1, 3, and 5 years were 0.792, 0.804, and 0.843, respectively. This model also showed good predictive ability regarding the tumor microenvironment and tumor mutation burden. In addition, the high-risk group was more sensitive to eight therapeutic agents, and the low-risk group was more responsive to five therapeutic agents. Sixteen immune checkpoints were significantly different between the two risk groups.

Conclusion

Our eight DEOSlncRNA risk models provide new insights into predicting prognosis and clinical progression in BCa patients.

Prognostic significance and identification of basement membrane-associated lncRNA in bladder cancer

Based on the importance of basement membrane (BM) in cancer invasion and metastasis, we constructed a BM-associated lncRNA risk model to group bladder cancer (BCa) patients. Transcriptional and clinical data of BCa patients were downloaded from The Cancer Genome Atlas (TCGA), and the expressed genes of BM-related proteins were obtained from the BM-BASE database. We download the GSE133624 chip data from the GEO database as an external validation dataset. We screened for statistically different BM genes between tumors and adjacent normal tissues. Co-expression analysis of lncRNAs and differentially expressed BM genes was performed to identify BM-related lncRNAs. Then, differentially expressed BM-related lncRNAs (DEBMlncRNAs) between tumor and normal tissues were identified. Univariate/multivariate Cox regression analysis was performed to select lncRNAs for risk assessment. LASSO analysis was performed to build a prognostic model. We constructed a model containing 8 DEBMlncRNAs (AC004034.1, AL662797.1, NR2F1-AS1, SETBP1-DT, AC011503.2, AC093010.2, LINC00649 and LINC02321). The prognostic risk model accurately predicted the prognosis of BCa patients and revealed that tumor aggressiveness and distant metastasis were associated with higher risk scores. In this model, we constructed a nomogram to assist clinical decision-making based on clinicopathological characteristics such as age, T, and N. The model also showed good predictive power for the tumor microenvironment and mutational burden. We validated the expression of eight lncRNAs using the dataset GSE133624 and two human bladder cancer cell lines (5637, BIU-87) and examined the expression and cellular localization of LINC00649 and AC011503.2 using a human bladder cancer tissue chip. We found that knockdown of LINC00649 expression in 5637 cells promoted the proliferation of 5637 cells.Our eight DEBMlncRNA risk models provide new insights into predicting prognosis, tumor invasion, and metastasis in BCa patients.

Allyl-, Butyl- and Phenylethyl-Isothiocyanate Modulate Akt–mTOR and Cyclin–CDK Signaling in Gemcitabine- and Cisplatin-Resistant Bladder Cancer Cell Lines

Combined cisplatin–gemcitabine treatment causes rapid resistance development in patients with advanced urothelial carcinoma. The present study investigated the potential of the natural isothiocyanates (ITCs) allyl-isothiocyanate (AITC), butyl-isothiocyanate (BITC), and phenylethyl-isothiocyanate (PEITC) to suppress growth and proliferation of gemcitabine- and cisplatin-resistant bladder cancer cells lines. Sensitive and gemcitabine- and cisplatin-resistant RT112, T24, and TCCSUP cells were treated with the ITCs, and tumor cell growth, proliferation, and clone formation were evaluated. Apoptosis induction and cell cycle progression were investigated as well. The molecular mode of action was investigated by evaluating cell cycle-regulating proteins (cyclin-dependent kinases (CDKs) and cyclins A and B) and the mechanistic target of the rapamycin (mTOR)-AKT signaling pathway. The ITCs significantly inhibited growth, proliferation and clone formation of all tumor cell lines (sensitive and resistant). Cells were arrested in the G2/M phase, independent of the type of resistance. Alterations of both the CDK–cyclin axis and the Akt–mTOR signaling pathway were observed in AITC-treated T24 cells with minor effects on apoptosis induction. In contrast, AITC de-activated Akt–mTOR signaling and induced apoptosis in RT112 cells, with only minor effects on CDK expression. It is concluded that AITC, BITC, and PEITC exert tumor-suppressive properties on cisplatin- and gemcitabine-resistant bladder cancer cells, whereby the molecular action may differ among the cell lines. The integration of these ITCs into the gemcitabine-/cisplatin-based treatment regimen might optimize bladder cancer therapy.

YAP1-TEAD1 mediates the perineural invasion of prostate cancer cells induced by cancer-associated fibroblasts

Perineural invasion (PNI) driven by the tumor microenvironment (TME) has emerged as a key pattern of metastasis of prostate cancer (PCa), while its underlying mechanism is still elusive. Here, we identified increased CAFs and YAP1 expression levels in patients with metastatic PCa. In the cultured PCa cell line LNCaP, co-culture with cancer-associated fibroblasts (CAFs) could upregulate YAP1 protein expression. Either ectopic overexpression of YAP1 or co-culture with CAFs could promote the infiltration of LNCaPs towards dorsal root ganglia (DRG). This effect could be blocked using an YAP1 inhibitor. In vivo, overexpression of YAP1 could increase PNI in a mouse model of sciatic nerve tumor invasion. Mechanistically, TEAD1 binds to the NGF promotor and YAP1/TEAD1 activates its transcription and consequently increases NGF secretion. In turn, PCa cells treated with CM from CAFs or stable YAP1 overexpression can stimulate DRG to secrete CCL2. The epithelial-to-mesenchymal transition (EMT) of PCa cells is thus activated via CCL2/CCR2. Overall, our data demonstrate that CAFs can activate YAP1/TEAD1 signaling and increase the secretion of NGF, therefore promoting PCa PNI. In addition, EMT induced by PNI suggests a feedback loop is present between neurons and PCa cells.