Importin 13 promotes NSCLC progression by mediating RFPL3 nuclear translocation and hTERT expression upregulation

KPNA5 Suppresses Malignant Progression of Ovarian Cancer Through Importing the PTPN4 Into the Nucleus

BACKGROUND

Abnormal protein localization due to disrupted nucleoplasmic transport is common in tumor cells, but its mechanisms are not well understood. Nuclear pore complexes and nuclear transporter proteins are crucial for protein transport between the nucleus and cytoplasm. Evidence increasingly shows that abnormal expression of karyopherin family proteins disrupts protein translocation, affecting processes like cell differentiation, proliferation, apoptosis, and transcriptional regulation. However, their functions and roles in ovarian cancer remain unclear.

METHODS

The expression level of KPNA5 in ovarian cancer tissues and cells was detected by IHC, Western blot, and qPCR. CCK-8 and colony formation assays were used to assess cell proliferation ability. Transwell assay was conducted to determine cell migration and invasion capacity. A xenograft model was used to assess the effect of KPNA5 on tumor growth in vivo.

RESULTS

KPNA5 expression is downregulated in ovarian cancer (OC) tissues. Low KPNA5 levels were associated with poor survival in OC patients, validated by an OC tissue sample cohort. Overexpression of KPNA5 significantly suppressed OC cell proliferation, tumor growth, and invasion in both in vitro and in vivo studies. Mechanistically, KPNA5 recognizes nuclear localization signals (NLSs) in PTPN4, mediating its nuclear transport and inhibiting STAT3 phosphorylation and its downstream signaling pathway. Similarly, PTPN4 overexpression reduced OC cell viability and invasion, also suppressing STAT3 phosphorylation.

CONCLUSIONS

Our findings identify KPNA5 as a tumor suppressor in OC, presenting a potential therapeutic target for OC treatment.

A novel telomere-associated genes signature for the prediction of prognosis and treatment responsiveness of hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC) is a prevalent malignancy worldwide, characterized by its high malignancy and poor prognosis. Telomeres, crucial components of eukaryotic chromosomes, have been increasingly recognized for their involvement in tumorigenesis, development, and impact on the prognosis of cancer patients. However, the precise role of telomere-associated genes in HCC remains incompletely elucidated.

METHODS

The Cancer Genome Atlas (TCGA) database was utilized to download data from 374 HCC and 50 normal liver tissue samples. Differential genes were screened and intersected with 2093 telomere-related genes (TRGs) in GeneCards, resulting in the identification of 704 TRGs exhibiting survival differences. Through univariate Cox regression analysis, multivariate Cox regression analysis, and LASSO regression, a prognostic model consisting of 18 TRGs for HCC risk assessment was developed. The single-cell and spatial transcriptomics were utilized to analyze the expression and distribution of 18 TRGs in HCC. Subsequently, Mendelian randomization (MR) analysis confirmed a causal relationship between ASF1A and alcoholic HCC among the identified 18 TRGs. The expression and functional significance of ASF1A in HCC cell lines were investigated through colony formation assays, Transwell migration assays, and wound healing experiments.

RESULTS

We developed a prognostic risk model for HCC incorporating 18 TRGs. Kaplan-Meier analysis demonstrated that the overall survival (OS) rate of the high-risk group was significantly inferior to that of the low-risk group. Cox regression analysis identified age (HR = 1.017, 95% CI: 1.002-1.032, P = 0.03), stage (HR = 1.389, 95% CI: 1.111-1.737, P = 0.004), and risk score (HR = 5.097, 95% CI: 3.273-7.936, P < 0.001) as three independent risk factors for HCC patients. The five-year receiver operating characteristic curve (ROC) and multivariate Cox regression analysis further validated the accuracy of our model. Time-dependent ROC results revealed that the 1-year, 3-year, and 5-year AUC values were AUC = 0.801, AUC = 0.734, and AUC = 0.690, respectively. The expression and distribution of 18 TRGs in HCC were further validated through single-cell and spatial transcriptomics data. Additionally, immune subtype analysis indicated a significantly lower proportion of C3 and C4 subtypes in the high-risk TRG group compared to the low-risk group. Meanwhile, tumor immune dysfunction and exclusion (TIDE) were significantly higher in the high-risk group than in the low-risk group. Furthermore, we observed differences in IC50 values among nine chemotherapeutic drugs across different TRG risk subtypes which partially confirmed our model's predictive efficacy for immunotherapy. Amongst these eighteen TRGs analyzed by MR analysis, ASF1A was found to be associated with alcoholic HCC pathogenesis. We further confirmed ASF1A was significant overexpression in HCC by Western blotting. We also explored it's the carcinogenic role of ASF1A in HCC via the transwell, wound healing, and clone formation experiments.

CONCLUSION

In this study, we developed a novel prognostic model comprising 18 TRGs for HCC, which exhibited remarkable accuracy in predicting HCC patients' prognosis. Additionally, through MR analysis, we have successfully established a causal relationship between ASF1A and alcoholic HCC for the first time, which also provided a new theoretical foundation for the management of alcoholic HCC.

Mapping the evolving trend of research on leukocyte telomere length: a text-mining study

BACKGROUND

Substantial evidence indicates that measuring leukocyte telomere length (LTL) is a useful tool that may be considered as a valuable biomarker of individual biological age, correlating with numerous chronic disorders. However, to date, there has been a lack of in-depth understanding regarding the current landscape and forthcoming developments in the LTL field. Therefore, this study aimed to utilize bibliometric methods to summarize the knowledge structure, current focus, and emerging directions in this field.

METHOD

Scientific publications on LTL spanning the period from 2000 to 2022 were acquired from the Web of Science Core Collection database. Several bibliometric tools including CiteSpace, VOSviewer, and an online website were utilized for bibliometric analysis. The primary evaluations encompassed investigating the major contributors and their collaborative relationships among countries/regions, institutions, and authors, conducting co-citation analyses of authors, journals, as well as reference, examining reference bursts, as well as performing co-occurrence analyses of keywords.

RESULTS

There are 1818 papers with 66,668 citations identified. Both the annual publication and citation counts on LTL exhibited significant upward trends. The United States emerged as the most prominent contributor, as evidenced by the greatest volume of papers and the highest H-index value. University of California San Francisco and Aviv A were identified as the most productive institution and author in this domain, respectively. Reference analysis revealed that longitudinal study and mendelian randomization study are the most concerned research method in this field recently. Keywords analysis showed that the most concerned diseases in LTL fields were aging, inflammation, cardiovascular diseases, endocrine diseases, neurological and psychiatric diseases, and cancers. In addition, the following research directions such as "COPD", "mendelian randomization", "adiposity", "colorectal cancer", "National Health and Nutrition Examination Survey (NHNES)", "telomerase reverse transcriptase", "pregnancy" have garnered increasing attention in recent times and hold the potential to evolve into research foci in the foreseeable future.

CONCLUSION

This is the first bibliometric study that provides comprehensive overview of LTL research. The findings of this study could become valuable references for investigators to explore and address the current and emerging challenges in LTL research.

Nuclear transport proteins: structure, function, and disease relevance

Proper subcellular localization is crucial for the functioning of biomacromolecules, including proteins and RNAs. Nuclear transport is a fundamental cellular process that regulates the localization of many macromolecules within the nuclear or cytoplasmic compartments. In humans, approximately 60 proteins are involved in nuclear transport, including nucleoporins that form membrane-embedded nuclear pore complexes, karyopherins that transport cargoes through these complexes, and Ran system proteins that ensure directed and rapid transport. Many of these nuclear transport proteins play additional and essential roles in mitosis, biomolecular condensation, and gene transcription. Dysregulation of nuclear transport is linked to major human diseases such as cancer, neurodegenerative diseases, and viral infections. Selinexor (KPT-330), an inhibitor targeting the nuclear export factor XPO1 (also known as CRM1), was approved in 2019 to treat two types of blood cancers, and dozens of clinical trials of are ongoing. This review summarizes approximately three decades of research data in this field but focuses on the structure and function of individual nuclear transport proteins from recent studies, providing a cutting-edge and holistic view on the role of nuclear transport proteins in health and disease. In-depth knowledge of this rapidly evolving field has the potential to bring new insights into fundamental biology, pathogenic mechanisms, and therapeutic approaches.

The Relevance of Telomerase and Telomere-Associated Proteins in B-Acute Lymphoblastic Leukemia

Telomeres and telomerase are closely linked to uncontrolled cellular proliferation, immortalization and carcinogenesis. Telomerase has been largely studied in the context of cancer, including leukemias. Deregulation of human telomerase gene hTERT is a well-established step in leukemia development. B-acute lymphoblastic leukemia (B-ALL) recovery rates exceed 90% in children; however, the relapse rate is around 20% among treated patients, and 10% of these are still incurable. This review highlights the biological and clinical relevance of telomerase for B-ALL and the implications of its canonical and non-canonical action on signaling pathways in the context of disease and treatment. The physiological role of telomerase in lymphocytes makes the study of its biomarker potential a great challenge. Nevertheless, many works have demonstrated that high telomerase activity or hTERT expression, as well as short telomeres, correlate with poor prognosis in B-ALL. Telomerase and related proteins have been proven to be promising pharmacological targets. Likewise, combined therapy with telomerase inhibitors may turn out to be an alternative strategy for B-ALL.

MAPK/ERK-CBP-RFPL-3 Mediates Adipose-Derived Stem Cell-Induced Tumor Growth in Breast Cancer Cells by Activating Telomerase Reverse Transcriptase Expression

Adipose-derived stem cells (ASCs) improve the self-renewal and survival of fat grafts in breast reconstruction after oncology surgery. However, ASCs have also been found to enhance breast cancer growth, and its role in tumor proliferation remains largely elusive. Here, we explored a novel mechanism that mediates hTERT reactivation during ASC-induced tumor growth in breast cancer cells. In this study, we found the proliferative ability of breast cancer cells markedly increased with ASC coculture. To explore the molecular mechanism, we treated cells with anibody/inhibitor and found that the activation of MEK-ERK pathway was triggered in breast cancer cells by SCF secreted from ASCs, leading to the nuclear recruitment of CBP. As a coactivator of hTERT, CBP subsequently coordinated with RFPL-3 upregulated hTERT transcription and telomerase activity. The inhibition of CBP and RFPL-3 abrogated the activation of hTERT transcription and the promotion of proliferation in breast cancer cells with cocultured ASCs in vitro and in vivo. Collectively, our study findings indicated that CBP coordination with RFPL-3 promotes ASC-induced breast cancer cell proliferation by anchoring to the hTERT promoter and upregulating telomerase activity, which is activated by the MAPK/ERK pathway.

Long Non-Coding RNA RFPL3S Functions as a Biomarker of Prognostic and Immunotherapeutic Prediction in Testicular Germ Cell Tumor

The incidence of testicular germ cell tumor (TGCT) is currently on the rise worldwide, of which 15%-30% of patients have occur recurrence and metastasis. However, clinical methods for diagnosing TGCT and judging its prognosis remained inadequate. In this study, we aimed to explore the possibility of testis-specific long-chain non-coding RNA (lncRNA) Ret finger protein-like 3S (RFPL3S) as a biomarker for TGCT diagnosis, prognosis, and treatment response by reviewing the TGCT gene expression data in Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. The cohort data and DNA methylation data of TGCT in TCGA were downloaded from TGCA, UCSC XENA, and GEO. The bioinformatic tools were used, including GEPIA2, Kaplan-Meier Plotter, LinkedOmics, UCSC XENA, Sangerbox Tools, GSCA, and Tumor Immune Dysfunction and Exclusion. Compared with normal testicular tissues, the RFPL3S expression was significantly reduced in TGCT, and was significantly negatively correlated with the patient’s Tumor, Node, Metastasis stage. Hypermethylation and low copy number of RFPL3S were present in TGCT, and low RFPL3S was associated with short disease-free and progression-free intervals. Silencing RFPL3S significantly enhanced the invasion ability and proliferation ability of TGCT cells as evaluated by Transwell and CCK-8 experiments. Additionally, RFPL3S expression was positively correlated with the infiltration of immune-activating cells such as B cells, CD8+ T cells, cytotoxic T cells, and natural killer cells, and negatively correlated with the infiltration of immunosuppressive cells such as Th17 and Th2. Higher RFPL3S expression was present in patients with immunotherapy benefits. In conclusion, we determined that the testis-specific lncRNA RFPL3S functioned as a tumor suppressor in TGCT and could be used as a prognostic predictor of TGCT, as well as a marker to predict the effect of TGCT immunotherapy.

The melatonergic pathway and its interactions in modulating respiratory system disorders

Melatonin is a key intracellular neuroimmune-endocrine regulator and coordinator of multiple complex and interrelated biological processes. The main functions of melatonin include the regulation of neuroendocrine and antioxidant system activity, blood pressure, rhythms of the sleep-wake cycle, the retardation of ageing processes, as well as reseting and optimizing mitochondria and thereby the cells of the immune system. Melatonin and its agonists have therefore been mooted as a treatment option across a wide array of medical disorders. This article reviews the role of melatonin in the regulation of respiratory system functions under normal and pathological conditions. Melatonin can normalize the structural and functional organization of damaged lung tissues, by a number of mechanisms, including the regulation of signaling molecules, oxidant status, lipid raft function, optimized mitochondrial function and reseting of the immune response over the circadian rhythm. Consequently, melatonin has potential clinical utility for bronchial asthma, chronic obstructive pulmonary disease, lung cancer, lung vascular diseases, as well as pulmonary and viral infections. The integration of melatonin's effects with the alpha 7 nicotinic receptor and the aryl hydrocarbon receptor in the regulation of mitochondrial function are proposed as a wider framework for understanding the role of melatonin across a wide array of diverse pulmonary disorders.