Cancer Progression Research Articles

Stimulating Soluble Guanylyl Cyclase with the Clinical Agonist Riociguat Restrains the Development and Progression of Castration-Resistant Prostate Cancer.

Castration-resistant prostate cancer (CRPC) is incurable and fatal, making prostate cancer the second-leading cancer-related cause of death for American men. CRPC results from therapeutic resistance to standard-of-care androgen deprivation (AD) treatments, through incompletely understood molecular mechanisms, and lacks durable therapeutic options. Here, we identified enhanced soluble guanylyl cyclase (sGC) signaling as a mechanism that restrains CRPC initiation and growth. Patients with aggressive, fatal CRPC exhibited significantly lower serum levels of the sGC catalytic product cyclic GMP (cGMP) compared to their castration-sensitive stage. In emergent castration-resistant cells isolated from castration-sensitive prostate cancer (CSPC) populations, the obligate sGC heterodimer was repressed via methylation of its beta subunit. Genetically abrogating sGC complex formation in CSPC cells promoted evasion of AD-induced senescence and concomitant castration-resistant tumor growth. In established castration-resistant cells, the sGC complex was present but in a reversibly oxidized and inactive state. Subjecting CRPC cells to AD regenerated the functional complex, and co-treatment with riociguat, an FDA-approved sGC agonist, evoked redox stress-induced apoptosis. Riociguat decreased castration-resistant tumor growth and increased apoptotic markers, with elevated cGMP levels correlating significantly with lower tumor burden. Riociguat treatment reorganized tumor vasculature and eliminated hypoxic tumor niches, decreasing CD44+ tumor progenitor cells and increasing the radiosensitivity of castration-resistant tumors. Thus, this study showed that enhancing sGC activity can inhibit CRPC emergence and progression through tumor cell-intrinsic and extrinsic effects. Riociguat can be repurposed to overcome CRPC, with noninvasive monitoring of cGMP levels as a marker for on-target efficacy.

HPV16 E6-induced M2 macrophage polarization in the cervical microenvironment via exosomal miR-204-5p

The persistent infection of high-risk human papillomavirus (HPV) and the progression of cervical cancer necessitate the involvement of microenvironmental immunity. As cervical lesions advance, there is an observed increase in the infiltration of type 2 (M2) macrophages. However, the precise mechanism driving this increased infiltration of M2 macrophages remains unclear. In this study, we investigated the role of exosomes in polarising M2 macrophages in cervical lesions associated with HPV E6. Through the analysis of bioinformatics data and clinical specimens, we discovered a positive correlation between HPV E6/E7 mRNA copy number and the level of M2 macrophage infiltration. Exosomes derived from HPV E6 overexpressed (HPV E6+) cervical squamous cell carcinoma (CESC) cells were found to induce the polarisation of macrophages towards M2 type. Specifically, miR-204-5p, enriched in HPV E6 + CESC exosomes, was transported into macrophages and triggered M2 macrophage polarisation by inhibiting JAK2. The clinical relevance of exosomal miR-204-5p in the progression of cervical lesions was validated through serum samples from 35 cases. Exosomal miR-204-5p emerges as a critical factor influencing M2 macrophage polarisation and is correlated with the severity of cervical lesions. Consequently, miR-204-5p could be used as a potential treatment and a candidate biomarker for cervical lesions.

The crosstalk between primary MSCs and cancer cells in 2D and 3D cultures: potential therapeutic strategies and impact on drug resistance.

The tumor microenvironment (TME) significantly influences cancer progression, and mesenchymal stem cells (MSCs) play a crucial role in interacting with tumor cells via paracrine signaling, affecting behaviors such as proliferation, migration, and epithelial-mesenchymal transition. While conventional 2D culture models have provided valuable insights, they cannot fully replicate the complexity and diversity of the TME. Therefore, developing 3D culture systems that better mimic in vivo conditions is essential. This review delves into the heterogeneous nature of the TME, spotlighting MSC-tumor cellular signaling and advancements in 3D culture technologies. Utilizing MSCs in cancer therapy presents opportunities to enhance treatment effectiveness and overcome resistance mechanisms. Understanding MSC interactions within the TME and leveraging 3D culture models can advance novel cancer therapies and improve clinical outcomes. Additionally, this review underscores the therapeutic potential of engineered MSCs, emphasizing their role in targeted anti-cancer treatments.

Compressive stresses in cancer: characterization and implications for tumour progression and treatment.

Beyond their many well-established biological aberrations, solid tumours create an abnormal physical microenvironment that fuels cancer progression and confers treatment resistance. Mechanical forces impact tumours across a range of biological sizes and timescales, from rapid events at the molecular level involved in their sensing and transmission, to slower and larger-scale events, including clonal selection, epigenetic changes, cell invasion, metastasis and immune response. Owing to challenges with studying these dynamic stimuli in biological systems, the mechanistic understanding of the effects and pathways triggered by abnormally elevated mechanical forces remains elusive, despite clear correlations with cancer pathophysiology, aggressiveness and therapeutic resistance. In this Review, we examine the emerging and diverse roles of physical forces in solid tumours and provide a comprehensive framework for understanding solid stress mechanobiology. We first review the physiological importance of mechanical forces, especially compressive stresses, and discuss their defining characteristics, biological context and relative magnitudes. We then explain how abnormal compressive stresses emerge in tumours and describe the experimental challenges in investigating these mechanically induced processes. Finally, we discuss the clinical translation of mechanotherapeuticsthat alleviate solid stresses and their potential to synergize with chemotherapy, radiotherapy and immunotherapies.

MiR-5195-3p predicts clinical prognosis and represses colorectal cancer progression by targeting TLR4/MyD88 signaling

BackgroundRecent studies have highlighted the role of miR-5195-3p in suppressing cell growth in various cancers. However, the specific functional impact of miR-5195-3p in colorectal cancer (CRC) remain to be fully clarified. The importance of miR-5195-3p in CRC was evaluated, aiming to uncover its underlying molecular mechanism and identify it as a potential therapeutic target for CRC.ResultsOur research has shown that miR-5195-3p is markedly under-expressed in CRC tissues and cell cultures, with its reduced presence associated with a higher TNM stage, lymphatic invasion, and unfavorable survival outcome. Ectopic miR-5195-3p expression curtailed proliferation, migration, and invasion of SW1116 and HT29 cells. Additionally, we discovered that miR-5195-3p directly targets and negatively influences Toll-like receptor 4 (TLR4) in CRC cells. Moreover, an inverse relationship was noted between miR-5195-3p and TLR4 expression in CRC tissue samples. Notably, restoring TLR4 expression counteracted miR-5195-3p’s suppressive impact on cell growth, motility, invasiveness, epithelial-mesenchymal transition (EMT), and the TLR4/MyD88 signaling pathway in SW1116 and HT29 cells.ConclusionsMiR-5195-3p suppresses the CRC cellular functions through the downregulation of TLR4/MyD88 signaling, indicating that targeting miR-5195-3p might offer a viable therapeutic strategy for CRC.

Cancer epithelial cells participate in the self-organization of lung tumor spheroids. A morphological approach.

The tumor microenvironment is known to play an important role in tumor progression. However, the specific mechanisms underlying this process are still not known in detail and more research is needed on the elements that control tumor progression in lung cancer. In this work, we aimed to investigate the involvement of epithelial and stromal cancer cells in growth, cell migration and epithelial-to-mesenchymal transition (EMT) in a 3D in vitro model consisting of cell spheroids cultured in a type I collagen scaffold. Spheroids were manufactured using different combinations of epithelial cells, particularly H460 and H1792 cell lines, with cancer-associated fibroblasts (CAFs) and normal fibroblasts (NFs), both isolated from adenocarcinoma patients. We evaluated the morphology of the spheroids by analysis of F-actin and pankeratin with confocal microscopy. We determined the ultrastructure of cells in the spheroids by transmission electron microscopy and the expression of CDH1, CDH2 and VIM by RT-PCR. We observed that, on the one hand, the type of epithelial cell influences the morphology of spheroids. Stromal cells stimulated spheroid growth and cell dissemination through the collagen matrix, either alone or organized in branches with a nucleus of epithelial cells preceded by fibroblast cells. They also induced the appearance of new cell groups in the scaffold and the presence of EMT markers. The results presented here indicate the participation of both epithelial and stromal cells in the control of spheroid self-organization. The experimental model proposed here, although preliminary, is useful for the study of some aspects related to tumor progression in lung cancer.

Comprehensive model for simultaneous monitoring of primary tumor to metastatic cancer utilizing Prkdc and Il2rg double knockout mice

Liver cancer is the second leading cause of cancer-related deaths worldwide, motivating major scientific efforts to understand and treat this cancer type. Over 30% of patients with liver cancer progress to metastasis, which reduces the survival rate. Extensive studies on primary tumors have been conducted to improve the prognosis. However, there is a lack of appropriate and accessible models for studying the progression and metastasis of liver cancer. Moreover, conventional metastasis models do not reproduce metastasis as it occurs in patients. To address this lack of an appropriate model for the monitoring of cancer progression and evaluation of anticancer drugs, we established a spontaneous metastatic xenograft model using NSG mice subcutaneously transplanted with SK-Hep-1 cells. Compared to the conventional experimental metastasis model (intravenous transplantation), in which only lung metastasis was observed, the established spontaneous metastatic xenograft model was superior, as it showed both a primary tumor and metastatic patterns similar to those observed in human patients. Additionally, this model was successfully used to assess the antimetastatic efficacy of sorafenib. In conclusion, our results demonstrate that the established spontaneous metastatic xenograft model better reflects liver cancer metastasis and can be utilized to assess the efficacy of anticancer drugs for liver cancer.

Loss of PI5P4Kα slows the progression of a Pten mutant basal cell model of prostate cancer.

While early prostate cancer (PCa) depends on the androgen receptor (AR) signaling pathway, which is predominant in luminal cells, there is much to be understood about the contribution of epithelial basal cells in cancer progression. Herein, we observe cell-type specific differences in the importance of the metabolic enzyme phosphatidylinositol 5-phosphate 4-kinase alpha (PI5P4Kα β ; gene name PIP4K2A) in the prostate epithelium. We report the development of a basal-cell-specific genetically engineered mouse model (GEMM) targeting Pip4k2a alone or in combination with the tumor suppressor phosphatase and tensin homolog (Pten). PI5P4Kα is enriched in basal cells, and no major histopathological changes were detectable following gene deletion. Notably, the combined loss of Pip4k2a slowed the development of Pten mutant mouse prostatic intraepithelial neoplasia (mPIN). Through the inclusion of a lineage tracing reporter, we utilize single-cell RNA sequencing to evaluate changes resulting from in vivo downregulation of Pip4k2a and characterize cell populations influenced in the established Probasin-Cre and Cytokeratin 5 (CK5)-Cre driven GEMMs. Transcriptomic pathway analysis points towards the disruption of lipid metabolism as a mechanism for reduced tumor progression. This was functionally supported by shifts of carnitine lipids in LNCaP PCa cells treated with siPIP4K2A. Overall, these data nominate PI5P4Kα as a target for PTEN mutant PCa. Implications: PI5P4Kα is enriched in prostate basal cells and its targeted loss slows the progression of a model of advanced PCa.

Steering research on mRNA splicing in cancer towards clinical translation.

Splicing factors are affected by recurrent somatic mutations and copy number variations in several types of haematologic and solid malignancies, which is often seen as prima facie evidence that splicing aberrations can drive cancer initiation and progression. However, numerous spliceosome components also 'moonlight' in DNA repair and other cellular processes, making their precise role in cancer difficult to pinpoint. Still, few would deny that dysregulated mRNA splicing is a pervasive feature of most cancers. Correctly interpreting these molecular fingerprints can reveal novel tumour vulnerabilities and untapped therapeutic opportunities. Yet multiple technological challenges, lingering misconceptions, and outstanding questions hinder clinical translation. To start with, the general landscape of splicing aberrations in cancer is not well defined, due to limitations of short-read RNA sequencing not adept at resolving complete mRNA isoforms, as well as the shallow read depth inherent in long-read RNA-sequencing, especially at single-cell level. Although individual cancer-associated isoforms are known to contribute to cancer progression, widespread splicing alterations could be an equally important and, perhaps, more readily actionable feature of human cancers. This is to say that in addition to 'repairing' mis-spliced transcripts, possible therapeutic avenues include exacerbating splicing aberration with small-molecule spliceosome inhibitors, targeting recurrent splicing aberrations withsynthetic lethal approaches, and training the immune system to recognize splicing-derived neoantigens.

EIF4A3-mediated oncogenic circRNA hsa_circ_0001165 advances esophageal squamous cell carcinoma progression through the miR-381-3p/TNS3 pathway

Esophageal squamous cell carcinoma (ESCC) remains a major clinical challenge due to its poor prognosis and the scarcity effective therapeutic targets. Circular RNAs (circRNAs) are crucial in cancer progression. In this study, high-throughput sequencing was employed to profile ESCC tissues, revealing that hsa_circ_0001165 is notably elevated in both ESCC tumor samples and cell lines, with its expression is positively associated with patients' TNM staging. Knockdown of hsa_circ_0001165 resulted in reduced malignant biological behavior of ESCC cells in vitro and also inhibited tumor growth in vivo. Mechanism experimental analysis found that hsa_circ_0001165 expression is positively enhanced by eukaryotic translation initiation factor 4A3 (EIF4A3). Hsa_circ_0001165 acts as a miRNA sponge for miR-381-3p, increasing the expression of tensin-3 (TNS3) through a series of related mechanism assays include dual-luciferase reporter gene, RNA Immunoprecipitation and RNA-pulldown. The downregulation in miR-381-3p expression was observed in ESCC tissues, and the cell proliferation, invasion, and migration of ESCC were suppressed. The upregulated expression of hsa_circ_0001165 modulates the miR-381-3p/TNS3 axis and promotes aggressive phenotypes of ESCC. Hsa_circ_0001165 is regarded as a encouraging biomarker and potential therapeutic target for ESCC, presenting innovative options for both diagnostic and treatment approaches.

Insights of Expression Profile of Chemokine Family in Inflammatory Bowel Diseases and Carcinogenesis

Chemokines are integral components of the immune system and deeply involved in the pathogenesis and progression of inflammatory bowel disease (IBD) and colorectal cancer (CRC). Although a considerable amount of transcriptome data has been accumulated on these diseases, most of them are limited to a specific stage of the disease. The purpose of this study is to visually demonstrate the dynamic changes in chemokines across various stages of bowel diseases by integrating relevant datasets. Integrating the existing datasets for IBD and CRC, we compare the expression changes of chemokines across different pathological stages. This study collected 11 clinical databases from various medical centers around the world. Patients: Data of patient tissue types were classified into IBD, colorectal adenoma, primary carcinoma, metastasis, and healthy control according to the publisher’s annotation. The expression changes in chemokines in various pathological stages are statistically analyzed. The chemokines were clustered by different expression patterns. The chemokine family was clustered into four distinct expression patterns, which correspond to varying expression changes in different stages of colitis and tumor development. Certain chemokines and receptors associated with inflammation and tumorigenesis have been identified. Furthermore, it was confirmed that the 2,4,6-trinitrobenzenesulfonic acid (TNBS)-induced colitis model and the azoxymethane (AOM)/ dextran sulfate sodium (DSS)-induced colon cancer model shows stronger correlations with the clinical data in terms of chemokine expression levels. This study paints a panoramic picture of the expression profiles of chemokine families at multiple stages from IBD to advanced colon cancer, facilitating a comprehensive understanding of the regulation patterns of chemokines and guiding the direction of drug development. This study provides researchers with a clear atlas of chemokine expression in the pathological processes of inflammatory bowel disease and colon cancer.

Prostate cancer and solid organ transplantation: patient management and outcomes.

To analyse the management and outcomes of individuals diagnosed with prostate cancer either before or after organ transplantation, as the impact of organ transplantation and associated immunosuppression on the incidence, progression, and mortality of prostate cancer remains an area of substantial clinical interest and uncertainty. We conducted a retrospective analysis of patients from two tertiary care centres who had solid organ transplantation and were diagnosed with prostate cancer before or after organ transplantation. Data collected included demographics and clinical information. The cohort consisted of 110 patients with a median (interquartile range [IQR]) age at prostate cancer diagnosis of 62 (56.6-67.2) years and a median (IQR) age at transplantation of 58.6 (52.7-65.3) years. Renal transplantation was the most common (54%). The median (IQR) prostate-specific antigen concentration at prostate cancer diagnosis was 6.2 (4.5-10) ng/mL, and the distribution of American Urological Association risk groups was: low risk, 36%; intermediate risk, 50%; and high risk, 14%. In all, 45 (41%) patients were diagnosed with prostate cancer prior to transplantation. Management included radical prostatectomy (RP; 62%), prostate radiotherapy (RT; 13%), and active surveillance (AS; 18%). During a median (IQR) follow-up of 5.8 (2.5-10) years from prostate cancer diagnosis, one (2%) patient developed metastatic disease. In all, 65 (59%) patients were diagnosed with prostate cancer subsequent to organ transplantation. Management included AS (29%), RT (45%), and RP (15%). During a median (IQR) follow-up of 5.3 (1-8.4) years, three patients (5%) developed metastatic disease. There were no deaths from prostate cancer. A diagnosis of localised prostate cancer should not preclude solid organ transplantation, and the presence of a transplant does not appear to substantially impact risk of prostate cancer progression.

Circ_0038718 augments colorectal cancer progression through mediating the miR-761/miR-214–3p/ITGA6 axis

BackgroundAccumulating studies have disclosed that circular RNAs (circRNAs) are closely associated with the malignant progression of colorectal cancer (CRC). The aim of our work was to reveal the function of circ_0038718 in CRC. MethodsThe level of genes and proteins were assessed by quantitative real-time polymerase chain reaction (qRT-PCR) and western blot. In vitro researches were executed via utilizing cell counting Kit-8 (CCK-8), EdU, flow cytometry analysis and wound-healing assay, individually. The target relationship was validated by Dual-luciferase reporter assay. In vivo assay was employed through establishing xenograft tumor model. ResultsCirc_0038718 was identified to be increased in CRC tissues and cells. Circ_0038718 downregulation suppressed cell proliferation, migration and facilitated apoptosis of CRC. Mechanistically, circ_0038718 could sponge miR-761 and miR-214–3p to modulate the expression of ITGA6. The rescue experiments proved that miR-761 or miR-214–3p inhibitor attenuated the repressive impact of circ_0038718 inhibition on CRC cells progression, and overexpressed ITGA6 could weaken the inhibitory effect of miR-761 or miR-214–3p on tumor cells. Furthermore, depletion of circ_0038718 confined the tumor growth in vivo. ConclusionCirc_0038718 aggravated the progression of CRC cells via mediating ITGA6 expression through targeting miR-761 and miR-214–3p, providing a new therapeutic target for CRC patients.

CYSLTR1 antagonism displays potent anti-tumor effects in uveal melanoma

Uveal Melanoma (UM) is the most common primary intraocular malignancy in adults. Although rare, it is a deadly tumor, with a long-term prognosis of death occurring in more than 50% of the cases. It is characterized by frequent (∼80%) driver mutations in GNAQ and GNA11 genes, both of which are activated by cysteinyl leukotriene receptors (CYSLTRs). CYSLTR1 is upregulated and participated in the progression of several cancers. In the present study, we sought to determine the expression levels of CYSLTR1 in 31 human UM specimens and cell lines (3 primary and 1 metastatic), and its role in the proliferation and viability of these cells by analyzing cell metabolic activity, cell confluence and apoptosis levels. We show that all analyzed UM specimens and cells expressed CYSLTR1 at high levels. Notably, the pharmacological blockage of this receptor, using the inverse agonist MK571, reduced the growth and metabolic activity, and increased the apoptotic cell death of all analyzed UM cell lines. We provide evidence that CYSLTR1 is expressed in human UM and plays a significant role in UM progression behavior. Our data highlight the potential beneficial effects of targeting CYSLTR1 in the control of UM progression.

Advances in natural products modulating autophagy influenced by cellular stress conditions and their anticancer roles in the treatment of ovarian cancer.

Autophagy is a conservative catabolic process that typically serves a cell-protective function. Under stress conditions, when the cellular environment becomes unstable, autophagy is activated as an adaptive response for self-protection. Autophagy delivers damaged cellular components to lysosomes for degradation and recycling, thereby providing essential nutrients for cell survival. However, this function of promoting cell survival under stress conditions often leads to malignant progression and chemotherapy resistance in cancer. Consequently, autophagy is considered a potential target for cancer therapy. Herein, we aim to review how natural products act as key modulators of autophagy by regulating cellular stress conditions. We revisit various stressors, including starvation, hypoxia, endoplasmic reticulum stress, and oxidative stress, and their regulatory relationship with autophagy, focusing on recent advances in ovarian cancer research. Additionally, we explore how polyphenolic compounds, flavonoids, alkaloids, terpenoids, and other natural products modulate autophagy mediated by stress responses, affecting the malignant biological behavior of cancer. Furthermore, we discuss their roles in ovarian cancer therapy. This review emphasizes the importance of natural products as valuable resources in cancer therapeutics, highlighting the need for further exploration of their potential in regulating autophagy. Moreover, it provides novel insights and potential therapeutic strategies in ovarian cancer by utilizing natural products to modulate autophagy.

Transglutaminase 2 promotes epithelial-to-mesenchymal transition by regulating the expression of matrix metalloproteinase 7 in colorectal cancer cells via the MEK/ERK signaling pathway

Tissue transglutaminase 2 (TGM2) and matrix metalloproteinase 7 (MMP7) are suggested to be involved in cancer development and progression, however, their specific role in colon cancer remains elusive. The present study investigated whether TGM2 and MMP7 influence epithelial-mesenchymal-transition (EMT) processes of colon cancer cells.TGM2 was either overexpressed or knocked down in SW480 and HCT-116 cells, and MMP7 expression and activity analyzed. Conversely, MMP7 was silenced and its correlation with TGM2 expression and activity examined. Co-immunoprecipitation served to evaluate TGM2-MMP7-interaction. TGM2 and MMP7 expression were correlated with invasion, migration, EMT marker expression (E-cadherin, N-cadherin, Slug, Snail), and ERK/MEK signaling.TGM2 overexpression enhanced MMP7 expression and activity, promoted cell invasion, migration and EMT, characterized by increased N-cadherin and Snail/Slug expression. TGM2 knockdown resulted in the opposite effects. Knocking down MMP7 was associated with reduced TGM2 protein expression, cell invasion and migration. Down-regulation of MMP7 diminished ERK/MEK signaling, whereas its up-regulation activated this pathway. The ERK-inhibitor GDC-0994 blocked phosphorylation of MEK/ERK and suppressed TGM2 and MMP7.TGM2 communicates with MMP7 in colon cancer cells forces cell migration and invasion by the MEK/ERK signaling pathway and triggers EMT. Inhibiting TGM2 could thus offer new therapeutic options to treat patients with colon cancer, particularly to prevent metastatic progression.

Exosomal miR-106a-5p from highly metastatic colorectal cancer cells drives liver metastasis by inducing macrophage M2 polarization in the tumor microenvironment

BackgroundThe tumor microenvironment (TME) is a dynamic system orchestrated by intricate cell-to-cell crosstalk. Specifically, macrophages within the TME play a crucial role in driving tumor progression. Exosomes are key mediators of communication between tumor cells and the TME. However, the mechanisms underlying exosome-driven crosstalk between tumor cells and macrophages during colorectal cancer (CRC) progression remain incompletely elucidated.MethodsSingle-cell RNA sequencing were analyzed using the Seurat package. Exosomes were isolated using ultracentrifugation and characterized by transmission electron microscopy, nanoparticle tracking analysis, and western blot. miRNAs differentially expressed in exosomes were analyzed using the limma package. CD206 expression in CRC tissues, exosomes tracing, and exosomal miR-106a-5p transport were observed through immunofluorescence. Macrophage polarization was assessed via qRT-PCR, ELISA, and flow cytometry. The interactions between miR-106a-5p, hnRNPA1, and SOCS6 were evaluated using miRNA pull-down, RIP, and dual-luciferase reporter assays. Transwell assays and liver metastasis model explored the role of exosomal miR-106a-5p-induced M2 macrophages in promoting CRC liver metastasis.ResultThe proportion of M2 macrophages is increased in CRC with liver metastasis compared to those without. Highly metastatic CRC cells release exosomes enriched with miR-106a-5p, which promote macrophages M2 polarization by suppressing SOCS6 and activating JAK2/STAT3 pathway. These M2 macrophages reciprocally enhance CRC liver metastasis. hnRNPA1 regulate the transport of miR-106a-5p into exosomes. Clinically, elevated miR-106a-5p in plasma exosomes correlated with liver metastasis and poor prognosis.ConclusionCRC-derived exosomal miR-106a-5p plays a critical role in promoting liver metastasis and is a potential biomarker for the prevention and treatment of CRC liver metastasis.

Molecular Targets for the Diagnosis and Treatment of Pancreatic Cancer.

Pancreatic cancer is one of the most aggressive and lethal forms of cancer, with a five-year survival rate of less than 10%. Despite advances in treatment modalities, the prognosis for pancreatic cancer patients remains poor, highlighting the urgent need for innovative approaches for early diagnosis and targeted therapies. In recent years, there has been significant progress in understanding the molecular mechanisms underlying pancreatic cancer development and progression. This paper reviews the current knowledge of molecular targets for the diagnosis and treatment of pancreatic cancer.

Sodium selenite inhibits cervical cancer progression via ROS-mediated suppression of glucose metabolic reprogramming

AimsThis study aims to explore the inhibitory effect of selenium on cervical cancer through suppression of glucose metabolic reprogramming and its underlying mechanisms. MethodsSodium selenite (SS) treated HeLa and SiHa cells were assessed for proliferation using the CCK-8 assay and immunofluorescence. DNA synthesis was measured with the EdU assay. A nude mouse xenograft model evaluated SS's anti-cervical cancer effects. Reactive oxygen species (ROS) and mitochondrial membrane potential were measured using flow cytometry, DCFH-DA, and JC-1 probes, respectively. Apoptosis was detected via Annexin V/PI staining and Western blot. Glucose uptake, lactate production, and ATP generation were determined using 2-NBDG probes and assay kits. The mRNA and protein levels of glycolysis-related genes HK2, GLUT1, and PDK1 were measured using RT-qPCR and Western blot. Key findingsSS inhibited HeLa and SiHa cells viability in a dose- and time-dependent manner. Intraperitoneal injection of SS in nude mice significantly inhibited HeLa cell xenograft growth without evident hepatotoxicity or nephrotoxicity. SS inhibited glucose metabolic reprogramming in cancer cells primarily via ROS-mediated AKT/mTOR/HIF-1α pathway inhibition. Pretreatment with N-acetylcysteine (NAC) or MHY1485 (an mTOR activator) partially reversed the inhibitory effects of SS on glucose metabolic reprogramming, cell proliferation, and migration, as well as its pro-apoptotic effects. SignificanceSS exhibited anti-cervical cancer effects, likely through the induction of ROS generation and inhibition of glucose metabolic reprogramming in cervical cancer cells, thereby inhibiting cell proliferation and promoting apoptosis. These findings provide new insights into understanding the molecular mechanisms underlying SS for potential new drug development for cervical cancer.

Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights

The identification of relevant biomarkers from high-dimensional cancer data remains a significant challenge due to the complexity and heterogeneity inherent in various cancer types. Conventional feature selection methods often struggle to effectively navigate the vast solution space while maintaining high predictive accuracy. In response to these challenges, we introduce a novel feature selection approach that integrates Random Drift Optimization (RDO) with XGBoost, specifically designed to enhance the performance of cancer classification tasks. Our proposed framework not only improves classification accuracy but also offers valuable insights into the underlying biological mechanisms driving cancer progression. Through comprehensive experiments conducted on real-world cancer datasets, including Central Nervous System (CNS), Leukemia, Breast, and Ovarian cancers, we demonstrate the efficacy of our method in identifying a smaller subset of unique and relevant genes. This selection results in significantly improved classification efficiency and accuracy. When compared with popular classifiers such as Support Vector Machine, K-Nearest Neighbor, and Naive Bayes, our approach consistently outperforms these models in terms of both accuracy and F-measure metrics. For instance, our framework achieved an accuracy of 97.24% in the CNS dataset, 99.14% in Leukemia, 95.21% in Ovarian, and 87.62% in Breast cancer, showcasing its robustness and effectiveness across different types of cancer data. These results underline the potential of our RDO-XGBoost framework as a promising solution for feature selection in cancer data analysis, offering enhanced predictive performance and valuable biological insights.