Thymosin β 10 is overexpressed and associated with unfavorable prognosis in hepatocellular carcinoma

A new prognostic model based on gamma-delta T cells for predicting the risk and aiding in the treatment of clear cell renal cell carcinoma

BACKGROUND

ccRCC is the prevailing form of RCC, accounting for the majority of cases. The formation of cancer and the body's ability to fight against tumors are strongly connected to Gamma delta (γδ) T cells.

METHODS

We examined and analyzed the gene expression patterns of 535 individuals diagnosed with ccRCC and 72 individuals serving as controls, all sourced from the TCGA-KIRC dataset, which were subsequently validated through molecular biology experiments.

RESULTS

In ccRCC, we discovered 304 module genes (DEGRGs) that were ex-pressed differentially and linked to γδ T cells. A risk model for ccRCC was constructed using 13 differentially DEGRGs identified through univariate Cox and LASSO regression analyses, which were found to be associated with prognosis. The risk model exhibited outstanding performance in both the training and validation datasets. The comparison of immune checkpoint inhibitors and the tumor immune microenvironment between the high- and low-risk groups indicates that immunotherapy could lead to positive results for low-risk patients. Moreover, the inhibition of ccRCC cell proliferation, migration, and invasion was observed in cell culture upon knocking down TMSB10, a gene associated with different types of cancers.

CONCLUSIONS

In summary, we have created a precise predictive biomarker using a risk model centered on γδ T cells, which can anticipate clinical results and provide direction for the advancement of innovative targeted therapies.

Thymus-derived hormonal and cellular control of cancer

The thymus gland is a central lymphoid organ in which developing T cell precursors, known as thymocytes, undergo differentiation into distinct type of mature T cells, ultimately migrating to the periphery where they exert specialized effector functions and orchestrate the immune responses against tumor cells, pathogens and self-antigens. The mechanisms supporting intrathymic T cell differentiation are pleiotropically regulated by thymic peptide hormones and cytokines produced by stromal cells in the thymic microenvironment and developing thymocytes. Interestingly, in the same way as T cells, thymic hormones (herein exemplified by thymosin, thymulin and thymopoietin), can circulate to impact immune cells and other cellular components in the periphery. Evidence on how thymic function influences tumor cell biology and response of patients with cancer to therapies remains unsatisfactory, although there has been some improvement in the knowledge provided by recent studies. Herein, we summarize research progression in the field of thymus-mediated immunoendocrine control of cancer, providing insights into how manipulation of the thymic microenvironment can influence treatment outcomes, including clinical responses and adverse effects of therapies. We review data obtained from clinical and preclinical cancer research to evidence the complexity of immunoendocrine interactions underpinning anti-tumor immunity.

Pan-cancer analysis identifies the correlations of Thymosin Beta 10 with predicting prognosis and immunotherapy response

Introduction

The biological function and prognosis roles of thymosin β(TMSB) 10 are still unclear in pan-cancer.

Methods

We retrieved The Cancer Genome Atlas and Genotype-tissue expression datasets to obtain the difference of TMSB10 expression between pan-cancer and normal tissues, and analyzed the biological function and prognosis role of TMSB10 in pan-cancer by using cBioPortal Webtool.

Results

The expression of TMSB10 in tumor tissues was significantly higher than normal tissues, and showed the potential ability to predict the prognosis of patients in Pan-cancer. It was found that TMSB10 was significantly correlated with tumor microenvironment, immune cell infiltration and immune regulatory factor expression. TMSB10 is involved in the regulation of cellular signal transduction pathways in a variety of tumors, thereby mediating the occurrence of tumor cell invasion and metastasis. Finally, TMSB10 can not only effectively predict the anti-PD-L1 treatment response of cancer patients, but also be used as an important indicator to evaluate the sensitivity of chemotherapy. In vitro, low expression of TMSB10 inhibited clonogenic formation ability, invasion, and migration in glioma cells. Furthermore, TMSB10 may involve glioma immune regulation progression by promoting PD-L1 expression levels via activating STAT3 signaling pathway.

Conclusions

Our results show that TMSB10 is abnormally expressed in tumor tissues, which may be related to the infiltration of immune cells in the tumor microenvironment. Clinically, TMSB10 is not only an effective prognostic factor for predicting the clinical treatment outcome of cancer patients, but also a promising biomarker for predicting the effect of tumor immune checkpoint inhibitors (ICIs) and chemotherapy in some cancers.

Comprehensive analysis of prognostic value and immunotherapy prospect of brain cytoplasmic RNA1 in hepatocellular carcinoma

BACKGROUND

The expression of brain cytoplasmic RNA1 (BCYRN1) is linked to the clinicopathology and prognosis of several types of cancers, among which hepatocellular carcinoma (HCC) is one of the most frequent types of cancer worldwide.

AIM

To explore the prognostic value and immunotherapeutic potential of BCYRN1 in HCC by bioinformatics and meta-analysis.

METHODS

Information was obtained from the Cancer Genome Atlas database. First, the correlation between BCYRN1 expression and prognosis and clinicopathologic characteristics of HCC patients was explored. Univariate and multivariate regression analyses were employed to examine the relationship between BCYRN1 and HCC prognosis. Secondly, potential functions and pathways were explored by means of enrichment analysis of differentially-expressed genes. The relationships between BCYRN1 expression and tumor microenvironment, immune cell infiltration, immune checkpoint, drug sensitivity and immunotherapy effect were also investigated. Finally, three major databases were searched and used to conduct a meta-analysis on the relationship between BCYRN1 expression and patient prognosis.

RESULTS

BCYRN1 expression was significantly higher in HCC compared to normal tissues and was linked to a poor prognosis and clinicopathological characteristics. Enrichment analysis showed that BCYRN1 regulates the extracellular matrix and transmission of signaling molecules, participates in the metabolism of nutrients, such as proteins, and participates in tumor-related pathways. BCYRN1 expression was linked to the tumor microenvironment, immune cell infiltration, drug sensitivity and the efficacy of immunotherapy. Furthermore, the meta-analysis in this study showed that BCYRN1 overexpression was related to a worse outcome in HCC patients.

CONCLUSION

Overexpression of BCYRN1 relates to poor prognosis and may be a potential prognostic factor and immunotherapeutic target in HCC.

T-cell exhaustion signatures characterize the immune landscape and predict HCC prognosis via integrating single-cell RNA-seq and bulk RNA-sequencing

Background

Hepatocellular carcinoma (HCC), the third most prevalent cause of cancer-related death, is a frequent primary liver cancer with a high rate of morbidity and mortality. T-cell depletion (TEX) is a progressive decline in T-cell function due to continuous stimulation of the TCR in the presence of sustained antigen exposure. Numerous studies have shown that TEX plays an essential role in the antitumor immune process and is significantly associated with patient prognosis. Hence, it is important to gain insight into the potential role of T cell depletion in the tumor microenvironment. The purpose of this study was to develop a trustworthy TEX-based signature using single-cell RNA-seq (scRNA-seq) and high-throughput RNA sequencing, opening up new avenues for evaluating the prognosis and immunotherapeutic response of HCC patients.

Methods

The International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA) databases were used to download RNA-seq information for HCC patients. The 10x scRNA-seq. data of HCC were downloaded from GSE166635, and UMAP was used for clustering descending, and subgroup identification. TEX-related genes were identified by gene set variance analysis (GSVA) and weighted gene correlation network analysis (WGCNA). Afterward, we established a prognostic TEX signature using LASSO-Cox analysis. External validation was performed in the ICGC cohort. Immunotherapy response was assessed by the IMvigor210, GSE78220, GSE79671, and GSE91061cohorts. In addition, differences in mutational landscape and chemotherapy sensitivity between different risk groups were investigated. Finally, the differential expression of TEX genes was verified by qRT-PCR.

Result

11 TEX genes were thought to be highly predictive of the prognosis of HCC and substantially related to HCC prognosis. Patients in the low-risk group had a greater overall survival rate than those in the high-risk group, according to multivariate analysis, which also revealed that the model was an independent predictor of HCC. The predictive efficacy of columnar maps created from clinical features and risk scores was strong.

Conclusion

TEX signature and column line plots showed good predictive performance, providing a new perspective for assessing pre-immune efficacy, which will be useful for future precision immuno-oncology studies.

TMSB10, a potential prognosis prediction biomarker, promotes the invasion and angiogenesis of gastric cancer

BACKGROUND AND AIM

The thymosin beta 10 (TMSB10) was originally identified from the thymus, which plays a key role in the development of many cancers. However, the underlying molecular mechanisms of TMSB10 involved in GC have not been understood.

METHODS

We sought to determine the expression of TMSB10 in human GC tissues and illustrate whether it is correlated with the clinical pathologic characteristics and prognosis in GC patients. Its roles and potential mechanisms in regulating tumor growth, invasion, and angiogenesis were evaluated by TMSB10 knockdown/overexpression of GC cells in vitro and ex vivo.

RESULTS

Marked overexpression of TMSB10 protein expression was observed in GC cells and tissues, which was associated with the advanced tumor stage and lymph nodes (LN) metastasis of GC patients. Furthermore, prognostic analysis showed that GC patients with high TMSB10 expression had a remarkably shorter survival and acted as an important factor for predicting poor overall survival in GC patients. Moreover, TMSB10 overexpression promoted, while TMSB10 knockdown the proliferation, EMT process, and angiogenesis of GC cells.

CONCLUSION

The study highlights that TMSB10 may hold promise as potential prognosis prediction biomarker for the diagnosis of GC and a potential therapeutic target, which will facilitate the development of a novel therapeutic strategy against GC.

PTEN/AKT upregulation of TMSB10 contributes to lung cancer cell growth and predicts poor survival of the patients

PTEN/AKT signaling cascade is frequently activated in various cancers, including lung cancer. The downstream effector of this signaling cascade is poorly understood. β-Thymosin 10 (TMSB10) functions as an oncogene or tumor suppressors in cancers, whereas its significance in lung cancer remains unknown. In this study, we showed that the activation of PTEN/AKT signaling promoted the expression of TMSB10. Based on the TCGA database, TMSB10 was upregulated in lung cancer tissues and its overexpression was correlated with poor prognosis of lung cancer patients. Functional experiments demonstrated that TMSB10 knockdown suppressed, while its overexpression promoted the proliferation, growth, and migration of lung cancer cells. Apoptosis and epithelial-mesenchymal transition were also regulated by TMSB10. We therefore suggest that TMSB10 is a novel oncogene for lung cancer. Targeting TMSB10 may benefit lung cancer patients with activated PTEN/AKT signaling.

Identification of targets of JS-K against HBV-positive human hepatocellular carcinoma HepG2.2.15 cells with iTRAQ proteomics

JS-K, a nitric oxide-releasing diazeniumdiolates, is effective against various tumors. We have discovered that JS-K was effective against Hepatitis B virus (HBV)-positive HepG2.2.15 cells. This study used iTRAQ to identify differentially expressed proteins following JS-K treatment of HepG2.2.15 cells. Silenced Transgelin (shTAGLN-2.15) cells were constructed, and the cell viability was analyzed by the CCK8 assay after treatment with JS-K. There were 182 differentially expressed proteins in JS-K treated-HepG2.2.15 cells; 73 proteins were up-regulated and 109 proteins were down-regulated. These proteins were categorized according to GO classification. KEGG enrichment analysis showed that Endocytosis, Phagosome and Proteoglycans were the most significant pathways. RT-PCR confirmed that the expression levels of TAGLN, IGFBP1, SMTN, SERPINE1, ANXA3, TMSB10, LGALS1 and KRT19 were significantly up-regulated, and the expression levels of C5, RBP4, CHKA, SIRT5 and TRIM14 were significantly down-regulated in JS-K treated-HepG2.2.15 cells. Western blotting confirmed the increased levels of USP13 and TAGLN proteins in JS-K treated-HepG2.2.15 cells. Molecular docking revealed the binding of JS-K to TAGLN and shTAGLN-2.15 cells were resistant to JS-K cytotoxicity, suggesting that TAGLN could be an important target in JS-K anti-HBV-positive liver cancer cells. These proteomic findings could shed new insights into mechanisms underlying the effect of JS-K against HBV-related HCC.

Thymosin β10 mediates the effects of microRNA-184 in the proliferation and epithelial-mesenchymal transition of BCPAP cells

Thyroid cancer is the most common malignant tumor of the endocrine system. It has been reported that thymosin β10 (TMSB10) serves a vital role in tumor invasion and metastasis, and further understanding the role of TMSB10 in thyroid cancer may provide new insights into the development of novel targeted drugs. Bioinformatics analysis suggested that there might exist a regulatory relationship between miR-184 and TMSB10. Therefore, the expression of microRNA (miR)-184 was investigated in the TPC-1 and BCPAP thyroid cancer cell lines and the Nthy-ori 3-1 thyroid epithelial cell line via reverse transcription-quantitative PCR. The effect of miR-184 on BCPAP cell proliferation was evaluated using MTT and colony formation assays. In addition, the expression levels of epithelial-mesenchymal transition (EMT)-associated proteins were examined via western blot analysis and immunofluorescence staining. Furthermore, the targeting association between miR-184 and TMSB10 was verified using a dual-luciferase reporter assay. Notably, miR-184 overexpression attenuated BCPAP cell proliferation, increased the expression level of the epithelial marker E-cadherin, and decreased that of the mesenchymal marker vimentin. These effects were reversed in BCPAP cells following TMSB10 overexpression. The present study revealed that TMSB10 may be considered as a key mediator in promoting papillary thyroid carcinoma (PTC) cell proliferation and EMT, which were negatively regulated by miR-184. Therefore, the findings of the present study may provide a novel potential therapeutic target for attenuating PTC cell proliferation.

A highly expressed mRNA signature for predicting survival in patients with stage I/II non-small-cell lung cancer after operation

There is an urgent need to identify novel biomarkers that predict the prognosis of patients with NSCLC. In this study,we aim to find out mRNA signature closely related to the prognosis of NSCLC by new algorithm of bioinformatics. Identification of highly expressed mRNA in stage I/II patients with NSCLC was performed with the “Limma” package of R software. Survival analysis of patients with different mRNA expression levels was subsequently calculated by Cox regression analysis, and a multi-RNA signature was obtained by using the training set. Kaplan–Meier estimator, log-rank test and receiver operating characteristic (ROC) curves were used to analyse the predictive ability of the multi-RNA signature. RT-PCR used to verify the expression of the multi-RNA signature, and Westernblot used to verify the expression of proteins related to the multi-RNA signature. We identified fifteen survival-related mRNAs in the training set and classified the patients as high risk or low risk. NSCLC patients with low risk scores had longer disease-free survival than patients with high risk scores. The fifteen-mRNA signature was an independent prognostic factor, as shown by the ROC curve. ROC curve also showed that the combined model of the fifteen-mRNA signature and tumour stage had higher precision than stage alone. The expression of fifteen mRNAs and related proteins were higher in stage II NSCLC than in stage I NSCLC. Multi-gene expression profiles provide a moderate prognostic tool for NSCLC patients with stage I/II disease.

Thymosin β10 promotes tumor-associated macrophages M2 conversion and proliferation via the PI3K/Akt pathway in lung adenocarcinoma

Background

Thymosin β10 (TMSB10) has been reported to play a protumorigenic role in a majority of solid cancers. However, the existence of TMSB10 in immune microenvironment may contribute to the pathogenesis of lung adenocarcinoma has not been previously explored.

Method

TAMs-associated TMSB10 expression was evaluated by immunohistochemistry (IHC) in 184 lung adenocarcinomas. Xenograft mice model was established to investigate the effect of TMSB10 shRNA on TAMs phenotypes. The macrophages phenotype associated cytokines IL-6, IL-8, IL-12 and TNF-α were detected by ELISA after treated with TMSB10 shRNA or scramble. Furthermore, the target proteins were detected by immunoblotting.

Results

We found that high TAMs-associated TMSB10 expression was significantly correlated with the advanced TNM stage and T3/T4 tumor size. And high TAMs-associated TMSB10 expression was significantly correlated with poor overall and progression-free survival of lung adenocarcinoma, acting as an independent prognostic factor for lung adenocarcinoma. Furthermore, we investigated the biological functions of TMSB10 in macrophages in vivo and in vitro. TMSB10 knockdown dramatically reduced TAMs, THP-1 and RAW264.7 cell proliferation, and promoted macrophages phenotype conversion of M2 to M1, and TMSB10 knockdown reduced the levels of p-Akt (Sec473), p-mTOR (Sec2448) and p-p70S6K (Thr389) without effect on Akt, mTOR and p70S6K expression.

Conclusions

These results demonstrate that TAMs-associated TMSB10 promotes tumor growth through increasing TAMs M2 conversion and proliferation via PI3K/Akt signaling pathway, providing a promising tumor biomarker for predicting prognosis and a potential therapeutic target for lung adenocarcinoma.

DNMT1 maintains the methylation of miR-152-3p to regulate TMSB10 expression, thereby affecting the biological characteristics of colorectal cancer cells

Objective

DNA methyltransferases (DNMTs) take on a relevant role in epigenetic control of cancer proliferation and cell survival. However, the molecular mechanisms underlying the establishment and maintenance of DNA methylation in human cancer remain to be fully elucidated. This study was to investigate that how DNMT1 affected the biological characteristics of colorectal cancer (CRC) cells via modulating methylation of microRNA (miR)‐152‐3p and thymosin β 10 (TMSB10) expression.

Methods

DNMT1, miR‐152‐3p, and TMSB10 expression, and the methylation of miR‐152‐3p in CRC tissues and cells were detected. SW‐480 and HCT‐116 CRC cells were transfected with DNMT1 or miR‐152‐3p‐related sequences or plasmids to explore their characters in biological functions of CRC cells. The binding relationship between DNMT1 and miR‐152‐3p and the targeting relationship between miR‐152‐3p and TMSB10 were analyzed. The tumor growth was also detected in vivo.

Results

Upregulated DNMT1, TMSB10, reduced miR‐152‐3p, and methylated miR‐152‐3p were detected in CRC tissues and cells. Silenced DNMT1 or upregulated miR‐152‐3p reduced TMSB10 expression and suppressed CRC progression and tumor growth. Moreover, elevated DNMT1 could reverse the effect of miR‐152‐3p upregulation on CRC development and tumor growth. DNMT1 maintained methylation of miR‐152‐3p. TMSB10 was the direct target gene of miR‐152‐3p.

Conclusion

The study highlights that silenced DNMT1 results in non‐methylated miR‐152‐3p to depress TMSB10 expression, thereby inhibiting CRC development, which provides a new approach for CRC therapy.

2H-Azirine-Based Reagents for Chemoselective Bioconjugation at Carboxyl Residues Inside Live Cells

Protein modification by chemical reagents has played an essential role in the treatment of human diseases. However, the reagents currently used are limited to the covalent modification of cysteine and lysine residues. It is thus desirable to develop novel methods that can covalently modify other residues. Despite the fact that the carboxyl residues are crucial for maintaining the protein function, few selective labeling reactions are currently available. Here, we describe a novel reactive probe, 3-phenyl-2H-azirine, that enables chemoselective modification of carboxyl groups in proteins under both in vitro and in situ conditions with excellent efficiency. Furthermore, proteome-wide profiling of reactive carboxyl residues was performed with a quantitative chemoproteomic platform.

TMSB10 acts as a biomarker and promotes progression of clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is one of the most common urological malignancies. Identifying novel biomarkers and investigating the underlying mechanism of ccRCC development will be crucial to the management and treatment of ccRCC in patients. Thymosin b10 (TMSB10), a member of the thymosin family, is involved in various physiological processes, including tissue regeneration and inflammatory regulation. Moreover, it has been found to be upregulated in many types of carcinoma. However, its roles in ccRCC remain to be elucidated. The present study aimed to explore the expression of TMSB10 in ccRCC through mining The Cancer Genome Atlas (TCGA) and Oncomine databases, and to investigate the association between TMSB10 expression and clinicopathological factors. Furthermore, immunohistochemistry assays and western blotting were conducted to verify TMSB10 expression levels in human ccRCC tissues and cell lines. Functional analyses were also performed to identify the roles of TMSB10 in vitro. The results revealed that TMSB10 was significantly upregulated in RCC tissues and cell lines. The expression of TMSB10 was closely associated with various clinicopathological parameters. In addition, high expression of TMSB10 predicted poor clinical outcome. The receiver operating characteristic curve revealed that TMSB10 could sufficiently distinguish the tumor from normal kidney (area under the curve = 0.9543, P<0.0001). Furthermore, knockdown of TMSB10 impaired the proliferation of ccRCC cells, and attenuated cell and invasion in vitro. In addition, TMSB10 knockdown downregulated reduced the phosphorylation of PI3K and the expression of vascular endothelial growth factor. In conclusion, the present study demonstrated that high expression of TMSB10 could serve as a useful diagnostic and prognostic biomarker and a potential therapeutic target for ccRCC.