A pan-cancer perspective of matrix metalloproteases (MMP) gene expression profile and their diagnostic/prognostic potential

Understanding Neovascularization in Glioblastoma: Insights from the Current Literature

Glioblastomas (GBMs), among the most aggressive and resilient brain tumors, characteristically exhibit high angiogenic potential, leading to the formation of a dense yet aberrant vasculature, both morphologically and functionally. With these premises, numerous expectations were initially placed on anti-angiogenic therapies, soon dashed by their limited efficacy in concretely improving patient outcomes. Neovascularization in GBM soon emerged as a complex, dynamic, and heterogeneous process, hard to manage with the classical standard of care. Growing evidence has revealed the existence of numerous non-canonical strategies of angiogenesis, variously exploited by GBM to meet its ever-increasing metabolic demand and differently involved in tumor progression, recurrence, and escape from treatments. In this review, we provide an accurate description of each neovascularization mode encountered in GBM tumors to date, highlighting the molecular players and signaling cascades primarily involved. We also detail the key architectural and functional aspects characteristic of the GBM vascular compartment because of an intricate crosstalk between the different angiogenic networks. Additionally, we explore the repertoire of emerging therapies against GBM that are currently under study, concluding with a question: faced with such a challenging scenario, could combined therapies, tailored to the patient's genetic signatures, represent an effective game changer?

Consequences of platelet-educated cancer cells on the expression of inflammatory and metastatic glycoproteins

Cancer-associated thrombosis, a major cause of mortality in cancer patients, exhibits a 4 to 7 times higher incidence compared to the general population. Platelet activation by tumor cells contributes to this pro-thrombotic state. Cancer cell-educated platelets have also been described to be implicated in promoting metastasis. Intriguingly, our team, among others, unveils a reverse process, wherein platelets educate cancer cells by transferring lipids, RNAs, and proteins. Here, focusing on colorectal and pancreatic cancers, our study investigates genes and proteins mediating platelet education of cancer cells. We demonstrated, for the first time, that platelets can educate cancer cells by inducing changes in the transcription of genes related to glycosylation, inflammation, and metastasis in cancer cells themselves. These results indicate a direct impact of platelets on cancer cell phenotype. This novel insight suggests potential therapeutic avenues for cancer treatment, disrupting platelet-mediated alterations and influencing the course of cancer progression.

Bioinformatics-Driven Investigations of Signature Biomarkers for Triple-Negative Breast Cancer

Breast cancer is a highly heterogeneous disorder characterized by dysregulated expression of number of genes and their cascades. It is one of the most common types of cancer in women posing serious health concerns globally. Recent developments and discovery of specific prognostic biomarkers have enabled its application toward developing personalized therapies. The basic premise of this study was to investigate key signature genes and signaling pathways involved in triple-negative breast cancer using bioinformatics approach. Microarray data set GSE65194 from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus was used for identification of differentially expressed genes (DEGs) using R software. Gene ontology and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway enrichment analyses were carried out using the ClueGO plugin in Cytoscape software. The up-regulated DEGs were primarily engaged in the regulation of cell cycle, overexpression of spindle assembly checkpoint, and so on, whereas down-regulated DEGs were employed in alteration to major signaling pathways and metabolic reprogramming. The hub genes were identified using cytoHubba from protein-protein interaction (PPI) network for top up-regulated and down-regulated DEG's plugin in Cytoscape software. The hub genes were validated as potential signature biomarkers by evaluating the overall survival percentage in breast cancer patients.

Unleashing the power of urine‑based biomarkers in diagnosis, prognosis and monitoring of bladder cancer (Review)

Bladder cancer (BCa) is a prevalent malignant neoplasm of the urinary tract with high incidence rate, frequent recurrence and rapid disease progression. Conventional approaches for diagnosing, prognosticating and monitoring BCa often rely on invasive procedures such as cystoscopy and tissue biopsy, which are associated with high costs and low patient compliance for follow‑up. Liquid biopsies have advantages, such as being non‑invasive, real‑time, and reproducible, in obtaining diverse biomarkers derived from cellular, molecular, proteomic and genetic signatures in urine or plasma samples. Although plasma‑based biomarkers have been clinically validated, urine provides greater specificity for directly assessing biological materials from urological sources. The present review summarizes advancements and current limitations in urinary protein, genetic and epigenetic biomarkers for disease progression and treatment response of BC, compares performance and application scenarios of urine and blood biomarkers and explores how urinary biomarkers may serve as an alternative or complementary tool to traditional diagnostic methods. The integration of urine‑based or plasma‑based biomarkers into existing diagnostic workflows offers promising avenues for improving accuracy and efficiency of diagnosis in the management of BCa. Notably, the emergence of synthetic biomarkers and urine metabolites, combined with artificial intelligence or bioinformatic technologies, has promise in the screening of potential targets. Continued research and validation efforts are needed to translate these findings into routine clinical practice, ultimately improving patient outcomes and decreasing the burden of BCa.

Proguanil inhibits proliferation and migration in glioblastoma development through targeting CSF1R receptor

Glioblastoma (GBM) is the most common and aggressive malignant tumor of the central nervous system, characterized by high morbidity and invasive potential, necessitating urgent development of novel therapeutic strategies. Studies have shown that colony stimulating factor-1 receptor (CSF1R) is abnormally expressed in a variety of solid tumors, which is closely related to the development of tumor cells. In this study, the CSF1R/cell membrane Chromatographic model was successfully constructed, and was used to screen active compounds targeting CSF1R from more than 60 compounds. Among these, Proguanil exhibited the strongest affinity with retention time of 69 min, and a KD value of (6.73 ± 0.05) × 10-7 M. Proguanil effectively inhibited the growth of U87MG cells in vitro and in vivo by inducing G0/G1 phase cell cycle arrest and suppressing U87MG cells migration. More importantly, we found that Proguanil's inhibitory effect on U87MG cell growth and migration was positively correlated with CSF1R expression, and this effect diminished following CSF1R knockdown and Proguanil demonstrated synergistic effects with CSF1R-targeting positive drugs (BLZ945 and GW2580). Furthermore, Proguanil was found to inhibit CSF1R phosphorylation along with downstream signaling pathways such as PTEN/AKT/mTOR and Ras/MEK1/2/ERK1/2, thereby regulating cell cycle-related molecules (p21, CDK4, and CyclinD1) and cell migration-related molecule MMP3. Meanwhile, Proguanil targeted CSF1R to inhibit M2-type polarization of tumor-associated macrophages (TAMs) and their proliferation, thus altering the tumor microenvironment while indirectly suppressing the proliferation and migration of U87MG cells. Taken together, these findings suggest that Proguanil may serve as a promising CSF1R antagonist for GBM treatment.

Big data analysis of influenza vaccination and liver cancer risk in hypertensive patients: insights from a nationwide population-based cohort study

BACKGROUND

previous studies have indicated that influenza vaccination may be associated with reduced risks of certain types of cancer. However, the protective effect of influenza vaccination against primary liver cancer in individuals with hypertension remains unclear.

METHODS

In this cohort study, 37,022 patients over 55 years of age who received a diagnosis of hypertension at any time between January 1, 2001, and December 31, 2012, were enrolled from the National Health Insurance Research Database. The patients were divided into a vaccinated and an unvaccinated group. Categorical and continuous variables were analyzed using the chi-square test and t test, respectively, and the correlation between influenza vaccination and liver cancer in patients with hypertension was analyzed using time-varying COX model. Propensity score method was performed to reduce selection bias.

RESULTS

Compared with the unvaccinated group, the vaccinated group had a significantly lower incidence of liver cancer (hazard ratio = 0.56, 95% confidence interval = 0.46-0.64; p < .001). In addition, a protective effect was observed regardless of sex, age, or comorbidities. Besides, the association was dose-dependent which could be noted when patients were stratified based on the total number of vaccinations. The adjusted HRs for patients receiving 1, 2 to 3, and ≥ 4 vaccinations during the follow-up period were 0.60 (0.51-0.78), 0.48 (0.38-0.65), and 0.39(0.30-0.51), respectively.

CONCLUSIONS

In summary, influenza vaccination is linked to a decreased risk of liver cancer in individuals with hypertension. However, unmeasurable confounders may have been present in the analysis.

Dysfunctional CD11c-CD21- extrafollicular memory B cells are enriched in the periphery and tumors of patients with cancer

Many patients with recurrent and metastatic cancer fail to produce a durable response to immunotherapy, highlighting the need for additional therapeutic targets to improve the immune landscape in tumors. Recent studies have highlighted the importance of B cells in the antitumor response, with memory B cells (MBCs) being prognostic in a variety of solid tumors. MBCs are a heterogenous B cell subset and can be generated through both germinal center reactions and extrafollicular (EF) responses. EF-derived MBCs have been recently linked to poor prognosis and treatment resistance in solid tumors and thus may represent candidate biomarkers or immunotherapy targets. EF-derived MBCs, termed "double-negative" (DN) MBCs may be further classified on the basis of surface expression of CD11c and CD21 into DN1, DN2, and DN3 MBCs. CD11c-CD21+ DN1 MBCs and CD11c+CD21- DN2 MBCs have been well studied across inflammatory diseases; however, the biology and clinical relevance of CD11c-CD21- DN3 MBCs remain unknown. Here, we report an accumulation of DN3 MBCs in the blood and tumors of patients with head and neck squamous cell carcinoma (HNSCC) and an increase in DN3 MBCs in locally advanced HNSCC tumors. Circulating and intratumoral DN3 MBCs were hyporesponsive to antigen stimulation, had low antibody production, and failed to differentiate into antibody-secreting cells. Moreover, DN3 MBCs accumulated selectively outside of tertiary lymphoid structures. Last, circulating DN3 MBCs correlated with poor therapeutic response, advanced disease, and worse outcomes in patients with HNSCC and melanoma, supporting further assessment of EF-derived MBCs as potential biomarkers and therapeutic targets.

METTL14-mediated m6A modification of ZFP14 inhibits clear cell renal cell carcinoma progression via promoting STAT3 ubiquitination

Therapeutic options for advanced clear cell renal cell carcinoma (ccRCC) are currently inadequate. Earlier research has shown that the enzyme methyltransferase-like 14 (METTL14) can suppress ccRCC development through the modification of N6-methyladenosine (m6A). This study further explored its complex biological functions and underlying molecular mechanisms. Here, we identified zinc finger protein 14 (ZFP14) as a novel target of METTL14-mediated m6A, and its under-expression was associated with ccRCC tumourigenesis and progression. Detailed investigations revealed that METTL14 interacted directly with the 3' untranslated region of ZFP14 mRNA, promoting m6A modification at two specific sites. These modifications were recognised by the protein insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2), which stabilised and enhanced the expression of ZFP14 mRNA. Functionally, the METTL14/ZFP14 axis suppressed in vitro growth, migration and invasiveness and in vivo proliferation and metastasis of ccRCC cells. ZFP14 potentially regulated numbers of transcripts, among which matrix metalloproteinase 1/3 (MMP1/3) were validated to be under-expressed by ZFP14. Crucially, ZFP14 interacted with the signal transducer and activator of transcription 3 (STAT3), augmenting its K48-linked ubiquitination and destabilising it via the proteasome pathway. Moreover, ZFP14 repressed ccRCC cell in vivo growth and metastasis as well as decreasing MMP1/3 levels by under-expressing STAT3. These observations confirmed that ZFP14 served as both a novel target for METTL14-mediated m6A modification and a significant tumour suppressor in ccRCC, shedding light on the cellular and molecular operations in ccRCC and opening up possibilities for novel therapeutic strategies. KEY POINTS: ZFP14 under-expression is associated with ccRCC tumourigenesis and progression. METTL14-mediated m6A enhances ZFP14 mRNA stability and expression with IGF2BP2 as the reader in ccRCC. ZFP14 promotes the degradation of STAT3 by enhancing its K48-linked ubiquitination, inhibiting ccRCC progression.

Profiling the cancer-prone microenvironment in a zebrafish model for MPNST

Microenvironmental contributions to soft tissue sarcoma progression are relatively undefined, particularly during sarcoma onset. Use of animal models to reveal these contributions is impeded by difficulties in discriminating between microenvironmental, precancerous, and cancer cells, and challenges in defining a precancerous microenvironment. We developed a zebrafish model that allows segregation of microenvironmental, precancerous, and cancerous cell populations by fluorescence-activated cell sorting. This model has high predilection for malignant peripheral nerve sheath tumor (MPNST), a type of soft tissue sarcoma that exhibits rapid, aggressive growth. Using RNA-seq, we profiled the transcriptomes of microenvironmental, precancerous, and cancer cells from our zebrafish MPNST model. We show broad activation of inflammation/immune-associated signaling networks, describe gene expression patterns that uniquely characterize the transition from precancerous to cancer ME, and identify macrophages as potential contributors to microenvironmental phenotypes. We identify conserved gene expression changes and candidate genes of interest by comparative genomics analysis of MPNST versus benign lesions in both humans and zebrafish. Finally, we functionally validate a candidate extracellular matrix protein, periostin (POSTN), in human MPNST. This work provides insight into how the microenvironment may regulate MPNST initiation and progression.

Salivary miRNAs and cytokines associated with diagnosis and prognosis of oral squamous cell carcinoma

Oral squamous cell carcinoma (OSCC) is the most common malignant tumour in the oral and maxillofacial region. Early diagnosis can significantly improve the 5-year survival rate of patients with OSCC. Therefore, it is extremely important to differentiate OSCC patients early, easily and quickly. Human saliva contains a variety of components that can be used as biomarkers for the diagnosis and prognosis of OSCC. Studies have shown that salivary microRNAs (miRNAs) and cytokines are closely associated with the progression of OSCC. The aim of this review is to summarize the research progress of salivary biomarkers (miRNAs and cytokines) in the past 3 years, and to explore the possibility of using miRNAs and cytokines to improve the diagnosis and prognosis of OSCC.

Small Fish, Big Answers: Zebrafish and the Molecular Drivers of Metastasis

Cancer metastasis is a leading cause of cancer-related deaths and represents one of the most challenging processes to study due to its complexity and dynamic nature. Zebrafish (Danio rerio) have become an invaluable model in metastasis research, offering unique advantages such as optical transparency, rapid development, and the ability to visualize tumor interactions with the microenvironment in real time. This review explores how zebrafish models have elucidated the critical steps of metastasis, including tumor invasion, vascular remodeling, and immune evasion, while also serving as platforms for drug testing and personalized medicine. Advances such as patient-derived xenografts and innovative genetic tools have further established zebrafish as a cornerstone in cancer research, particularly in understanding the molecular drivers of metastasis and identifying therapeutic targets. By bridging the experimental findings with clinical relevance, zebrafish continue transforming our understanding of cancer biology and therapy.

Screening Differentially Expressed Proteins in Areca Nut-Related Oral Squamous Cell Carcinoma Using Tandem Mass Tag Proteomics

OBJECTIVE

Areca nut chewing has been associated with a poor prognosis in oral squamous cell carcinoma (OSCC). This study seeks to identify differentially expressed proteins among areca nut-related OSCC,non-areca nut-related OSCC and adjacent normal epithelial tissues, with the aim of providing novel insights for the investigation of areca nut-related OSCC.

METHODS

Using Tandem mass tag (TMT)-based proteomic analysis, a comparative proteomic profiling was conducted among areca nut-related OSCC, non-areca nut-related OSCC, and adjacent normal epithelial tissues (n=15). GO and KEGG enrichment analyses were then employed to identify significant proteins pertinent to the pathogenesis of OSCC for further study. Western Blot (WB) and Immunohistochemistry (IHC) techniques were used to preliminary validate the expression patterns of LZTS1, MMP10, MYH6, MB, and TNNC1 among various groups (n=30).

RESULTS

27 differentially expressed proteins were identified when comparing the areca nut-related OSCC group with both the non-areca nut-related OSCC and normal epithelial tissue groups. Among these, 15 proteins were upregulated, while 12 were downregulated. LZTS1 and MMP10 were included in the upregulated proteins, whereas MYH6, MB, and TNNC1 were downregulated. WB and IHC analyses corroborated the proteomic findings, revealing consistent expression trends for these 5 proteins across the studied groups.

CONCLUSION

LZTS1, MMP10, MYH6, MB and TNNC1 emerge as promising biomarkers for assessing disease progression, prognosis, and potential targeted therapies in areca nut-related OSCC.

Adipose mesenchymal stem cell conditioned medium and extract: A promising therapeutic option for regenerative breast cancer therapy

Introduction

Breast cancer is the second most common cancer and a leading cause of cancer death in U.S. women. The tumor microenvironment, especially nearby adipocytes, plays a crucial role in its progression. Therefore, this study aimed to investigate the effects of human adipose mesenchymal stem cells-derived conditioned medium (SUP) and extract (CE) from on breast cancer cells.

Methods

Human adipose-derived mesenchymal stem cells were isolated and characterized by flow cytometry using Cluster of Differentiation (CD) markers (CD34, CD45, CD90, and CD105). The differentiation potential was confirmed via adipogenic and osteogenic induction. MCF-7 and MDA-MB-231 cells were treated with SUP and CE, and cell viability was assessed using the 3-(4,5-Dimethylthiazol-2-Yl)-2,5-Diphenyltetrazolium Bromide (MTT) assay at 24, 48, and 72 h. Doubling time, colony formation, wound healing, and gene expression for key cancer-related genes (TIMP1, TIMP2, MMP2, PDL1, IDO, Bax, caspase 3, and caspase 9) were also evaluated.

Results

Both SUP and CE significantly inhibited the viability of MCF-7 and MDA-MB-231 cells, reduced their doubling time, and suppressed colony formation. In wound healing assays, cell migration was notably impaired in MDA-MB-231 cells but less so in MCF-7 cells. Real-time polymerase chain reaction revealed downregulation of TIMP1, MMP2, PDL1, and IDO in MDA-MB-231 cells after treatment, while CE increased certain gene expressions in MCF-7 cells. Bax, caspase 3, and caspase 9 expressions were significantly upregulated in MDA-MB-231 cells but not in MCF-7 cells after treatment.

Conclusion

Human adipose-derived mesenchymal stem cells-derived SUP and CE exhibit antitumor effects on breast cancer cells, suggesting a potential therapeutic strategy to suppress tumor progression. Mesenchymal stem cells-SUP and CE could be a safe and novel regenerative approach for breast reconstruction postmastectomy without tumor recurrence risk.

Machine learning based analysis of single-cell data reveals evidence of subject-specific single-cell gene expression profiles in acute myeloid leukaemia patients and healthy controls

Acute Myeloid Leukaemia (AML) is characterized by uncontrolled growth of immature myeloid cells, disrupting normal blood production. Treatment typically involves chemotherapy, targeted therapy, and stem cell transplantation but many patients develop chemoresistance, leading to poor outcomes due to the disease's high heterogeneity. In this study, we used publicly available single-cell RNA sequencing data and machine learning to classify AML patients and healthy, monocytes, dendritic and progenitor cells population. We found that gene expression profiles of AML patients and healthy controls can be classified at the individual level with high accuracy (>70 %) when using progenitor cells, suggesting the existence of subject-specific single cell transcriptomics profiles. The analysis also revealed molecular determinants of patient heterogeneity (e.g. TPSD1, CT45A1, and GABRA4) which could support new strategies for patient stratification and personalized treatment in leukaemia.

Synthetic Protein-to-DNA Input Exchange for Protease Activity Detection Using CRISPR-Cas12a

We present a novel activity-based detection strategy for matrix metalloproteinase 2 (MMP2), a critical cancer protease biomarker, leveraging a mechanism responsive to the proteolytic activity of MMP2 and its integration with CRISPR-Cas12a-assisted signal amplification. We designed a chemical translator comprising two functional units─a peptide and a peptide nucleic acid (PNA), fused together. The peptide presents the substrate of MMP2, while the PNA serves as a nucleic acid output for subsequent processing. This chemical translator was immobilized on micrometer magnetic beads as a physical support for an activity-based assay. We incorporated into our design a single-stranded DNA partially hybridized with the PNA sequence and bearing a region complementary to the RNA guide of CRISPR-Cas12a. The target-induced nuclease activity of Cas12a results in the degradation of FRET-labeled DNA reporters and amplified fluorescence signal, enabling the detection of MMP2 in the low picomolar range, showing a limit of detection of 72 pg/mL. This study provides new design principles for a broader applicability of CRISPR-Cas-based biosensing.

Endothelial-to-mesenchymal transition in the tumor microenvironment: Roles of transforming growth factor-β and matrix metalloproteins

Cancer is a leading cause of global morbidity and mortality. Tumor cells grow in a complex microenvironment, comprising immune cells, stromal cells, and vascular cells, collaborating to support tumor growth and facilitate metastasis. Transforming growth factor-beta (TGF-β) is a multipotent factor that can not only affect fibrosis promotion but also assume distinct roles in the early and late stages of the tumor. Matrix metalloproteinases (MMPs) primarily function to degrade the extracellular matrix, a pivotal cellular player in tumor progression. Moreover, endothelial-to-mesenchymal transition (EndMT), similar to epithelial-to-mesenchymal transition, is associated with cancer progression by promoting angiogenesis, disrupting the endothelial barrier, and leading to cancer-associated fibroblasts. Recent studies have underscored the pivotal roles of TGF-β and MMPs in EndMT. This review delves into the contributions of TGF-β and MMPs, as well as their regulatory mechanisms, within the tumor microenvironment. This collective understanding offers fresh insights into the potential for combined targeted therapies in the fight against cancer.

Unveiling Biomarkers in Head and Neck Squamous Cell Carcinoma through Bioinformatics: The Role of SPP1 and KRT78

Head and neck squamous cell carcinoma (HNSCC) is the most common form of head and neck cancer, ranking sixth in global cancer incidence. Identifying molecular drivers of tumorigenesis and metastasis is essential for early detection and treatment. This study analyzed gene expression profiles from three datasets (GSE6791, GSE29330, and GSE58911) to identify differentially expressed genes (DEGs) in HNSCC. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were employed to functionally annotate these DEGs. A protein-protein interaction (PPI) network was constructed for selecting hub genes using the STRING database. Finally, hub gene and protein expression levels were evaluated in patients with HNSCC, along with their association with overall survival. Our analysis identified twenty-eight co-DEGs comprising eight up-regulated and twenty down-regulated genes, primarily involved in extracellular matrix (ECM) organization, proteolysis, ECM disassembly, and keratinization processes. Furthermore, the PPI network revealed eight hub genes based on their high degree of connectivity. Notably, SPP1 demonstrated up-regulation, while KRT78 was down-regulated in HNSCC. Remarkably, the expression levels of these hub genes correlated with tumor grade, clinical cancer stage, and poor prognosis in HNSCC. Our findings hold significant clinical potential for early diagnosis and the development of novel therapeutic targets for patients with HNSCC.

Molecular basis of proteolytic cleavage regulation by the extracellular matrix receptor dystroglycan

The dystrophin-glycoprotein-complex (DGC), anchored by the transmembrane protein dystroglycan, functions to mechanically link the extracellular matrix and actin cytoskeleton. Breaking this connection is associated with diseases such as muscular dystrophy, yet cleavage of dystroglycan by matrix-metalloproteinases (MMPs) remains an understudied mechanism to disrupt the DGC. We determined the crystal structure of the membrane-adjacent domain (amino acids 491-722) of E. coli expressed human dystroglycan to understand MMP cleavage regulation. The structural model includes tandem immunoglobulin-like (IGL) and sperm/enterokinase/agrin-like (SEAL) domains, which support proteolysis in diverse receptors to facilitate mechanotransduction, membrane protection, and viral entry. The structure reveals a C-terminal extension that buries the MMP site by packing into a hydrophobic pocket, a unique mechanism of MMP cleavage regulation. We further demonstrate structure-guided and disease-associated mutations disrupt proteolytic regulation using a cell-surface proteolysis assay. Thus disrupted proteolysis is a potentially relevant mechanism for "breaking" the DGC link to contribute to disease pathogenesis.

Identification of miR-451 target genes as prognostic markers in diffuse large B-cell lymphoma

BACKGROUND

B-cell lymphoma, a diverse malignancy, is intricately regulated by multiple factors. MicroRNAs (miRNAs) have been demonstrated to be important regulators of the initiation and progression of human B-cell lymphoma, but their functions need to be further explored.

RESEARCH DESIGN AND METHODS

Two B-cell lymphoma cell lines, Romas and HBL-1, were engineered to overexpress miR-451, with cell proliferation assessed via cell counting assays. Flow cytometry was used to study the effects of miR-451 on cell cycle and apoptosis. Bioinformatics analyses were performed using GEO datasets (GSE181063, GSE32918, GSE56315) to identify DEGs, and potential miR-451 target genes were predicted using tools like ENCORI, TargetScan, and R packages. A risk model for DLBCL prognosis was developed using Cox and LASSO regression. qRT-PCR validated the expression of these target genes.

RESULTS

This study revealed that miR-451 inhibited cell proliferation, arrested the cell cycle, and induced apoptosis in human DLBCL cell lines. Bioinformatics analysis identified 9 target genes (MMP9, AQP9, RIN2, EOMES, LCP2, SELPLG, MAL, SOCS5, S1PR3) significantly associated with DLBCL prognosis, suggesting a potential mechanism by which miR-451 suppresses DLBCL development.

CONCLUSIONS

Our study indicates that a specific set of miR-451 target genes may significantly influence DLBCL patient outcomes.

Engineered TIMP2 with narrow MMP-9 specificity is an effective inhibitor of invasion and proliferation of triple-negative breast cancer cells

Matrix metalloproteinases (MMPs) are a family of endopeptidases that degrade extracellular matrix proteins, functioning in various physiological processes such as tissue remodeling, embryogenesis, and morphogenesis. Dysregulation of these enzymes is linked to multiple diseases. Specific inhibition of particular MMPs is crucial for anti-MMP drug development as some MMPs have shown antidisease properties. In this study, we aimed to design a highly specific inhibitor of MMP-9, that plays a crucial role in cell invasion and metastasis, using tissue inhibitor of metalloproteinases 2 (TIMP2s), an endogenous broad-family MMP inhibitor, as a prototype. In our earlier work, we were able to narrow down the specificity of the N-terminal domain of TIMP2 (N-TIMP2) toward MMP-9, yet at the expense of lowering its affinity to MMP-9. In this study, a library of N-TIMP2 mutants based on previous design with randomized additional positions was sorted for binding to MMP-9 using yeast surface display. Two selected N-TIMP2 mutants were expressed, purified, and their inhibitory activity against a panel of MMPs was measured. The best engineered N-TIMP2 mutant (REY) exhibited a 2-fold higher affinity to MMP-9 than that of the WT N-TIMP2, and 6- to 1.1 x 104-fold increase in binding specificity toward MMP-9 compared to five alternative MMPs. Moreover, REY demonstrated a significant increase in inhibition of cell invasion and proliferation compared to the WT N-TIMP2 in MDA-MB-231 breast cancer cells. Therefore, our engineered N-TIMP2 mutant emerges as a promising candidate for future therapeutic development, offering precise targeting of MMP-9 in MMP-9-driven diseases.

Identification and validation of matrix metalloproteinase hub genes as potential biomarkers for Skin Cutaneous Melanoma

Objectives

The role of matrix metalloproteinases (MMPs) in Skin Cutaneous Melanoma (SKCM) development and progression is unclear so far. This comprehensive study delved into the intricate role of MMPs in SKCM development and progression.

Methods

RT-qPCR, bisulfite sequencing, and WES analyzed MMP gene expression, promoter methylation, and mutations in SKCM cell lines. TCGA datasets validated findings. DrugBank and molecular docking identified potential regulatory drugs, and cell line experiments confirmed the role of key MMP genes in tumorigenesis.

Results

Our findings unveiled significant up-regulation of MMP9, MMP12, MMP14, and MMP16, coupled with hypomethylation of their promoters in SKCM cell lines, implicating their involvement in disease progression. Mutational analysis highlighted a low frequency of mutations in these genes, indicating less involvement of mutations in the expression regulatory mechanisms. Prognostic assessments showcased a significant correlation between elevated expression of these genes and poor overall survival (OS) in SKCM patients. Additionally, functional experiments involving gene silencing revealed a potential impact on cellular proliferation, further emphasizing the significance of MMP9, MMP12, MMP14, and MMP16 in SKCM pathobiology.

Conclusion

This study identifies Estradiol and Calcitriol as potential drugs for modulating MMP expression in SKCM, highlighting MMP9, MMP12, MMP14, and MMP16 as key diagnostic and prognostic biomarkers.

Shatavarin-IV, a steroidal saponin from Asparagus racemosus, inhibits cell cycle progression and epithelial-to-mesenchymal transition in AGS cells under hyperglycemic conditions

Gastric cancer (GC)-diabetes co-morbidity is nowadays growing into a rising concern. However, no separate treatment procedures have been outlined for such patients. Phytochemicals and their derivatives can therefore be used as therapeutics as they have greater effectiveness, reduced toxicity, and a reduced likelihood of developing multi-drug resistance in cancer treatments. The present study intended to assess the therapeutic efficacy of Shatavarin-IV - a major steroidal saponin from the roots of Asparagus racemosus, in human gastric adenocarcinoma cell line under hyperglycemic conditions and explore its mechanism of action in controlling GC progression. For the present study, AGS cells were incubated in high glucose-containing media and the effects of Shatavarin-IV therein have been evaluated. Cell proliferation, confocal microscopic imaging, flow-cytometric analysis for cell cycle and apoptosis, immunoblotting, zymography, reverse zymography, wound-healing, colony formation, and invasion assays were performed. Shatavarin-IV has a prominent effect on AGS cell proliferation; with IC50 of 2.463 µ M under hyperglycemic conditions. Shatavarin-IV induces cell cycle arrest at the G0/G1 phase, thereby preventing hyperglycemia-induced excessive cell proliferation that later on leads to apoptotic cell death at 36 h of incubation. Shatavarin-IV further inhibits the migratory and invasive potential of AGS cells by altering the expression patterns of different EMT markers. It also inhibits MMP-9 while promoting TIMP-1 activity and expression; thereby regulating ECM turnover. This is the first report demonstrating the therapeutic efficacy of Shatavarin-IV against AGS cells grown in hyperglycemic conditions, implicating new insights into the treatment paradigm of patients with GC-diabetes co-morbidity.

Single-cell characterization of differentiation trajectories and drug resistance features in gastric cancer with peritoneal metastasis

BACKGROUND

Gastric cancer patients with peritoneal metastasis (GCPM) experience a rapidly deteriorating clinical trajectory characterized by therapeutic resistance and dismal survival, particularly following the development of malignant ascites. However, the intricate dynamics within the peritoneal microenvironment (PME) during the treatment process remain largely unknown.

METHODS

Matched samples from primary tumours (PT), peritoneal metastases (PM), and paired pre-treatment and post-chemo/immunotherapy (anti-PD-1/PD-L1) progression malignant ascites samples, were collected from 48 patients. These samples were subjected to single-cell RNA sequencing (n = 30), multiplex immunofluorescence (n = 30), and spatial transcriptomics (n = 3). Furthermore, post hoc analyses of a phase 1 clinical trial (n = 20, NCT03710265) and an in-house immunotherapy cohort (n = 499) were conducted to validate the findings.

RESULTS

Tracing the evolutionary trajectory of epithelial cells unveiled the terminally differentially MUC1+ cancer cells with a high epithelial-to-mesenchymal transition potential, and they demonstrated spatial proximity with fibroblasts and endothelial cells, correlating with poor prognosis. A significant expansion of macrophage infiltrates, which exhibited the highest proangiogenic activity, was observed in the ascites compared with PT and PM. Besides, higher C1Q+ macrophage infiltrates correlated with significantly lower GZMA+ T-lymphocyte infiltrates in therapeutic failure cases, potentially mediated by the LGALS9-CD45 and SPP1-CD44 ligand-receptor interactions. In the chemoresistant group, intimate interactions between C1Q+ macrophages and fibroblasts through the complement activation pathway were found. In the group demonstrating immunoresistance, heightened TGF-β production activity was detected in MUC1+ cancer cells, and they were skewed to interplay with C1Q+ macrophages through the GDF15-TGF-βR2 axis. Ultimately, post hoc analyses indicated that co-targeting TGF-β and PDL1 pathways may confer superior clinical benefits than sole anti-PD-1/PD-L1 therapy for patients presenting with GCPM at the time of diagnosis.

CONCLUSIONS

Our findings elucidated the cellular differentiation trajectories and crucial drug resistance features within PME, facilitating the exploration of effective targets for GCPM treatment.

HIGHLIGHTS

MUC1+ cancer cells with a high epithelial-to-mesenchymal transition potential and exhibiting spatial proximity to fibroblasts and endothelial cells constitute the driving force of gastric cancer peritoneal metastasis (GCPM). Higher C1Q+ macrophage infiltrates correlated with significantly lower GZMA+ T-lymphocyte infiltrates within the peritoneal microenvironment in therapeutic failure cases. Co-targeting TGF-β and PDL1 pathways may confer superior clinical benefits than sole anti-PD-1/PD-L1 therapy for patients presenting with GCPM at diagnosis.

Combined knockdown of CD151 and MMP9 may inhibit the malignant biological behaviours of triple-negative breast cancer through the GSK-3β/β-catenin-related pathway

Triple-negative breast cancer (TNBC) represents a significant health concern for women worldwide, and the overproduction of MMP9 and CD151 is associated with various cancers, influencing tumour growth and progression. This study aimed to investigate how CD151 and MMP9 affect TNBC cell migration, apoptosis, proliferation, and invasion. Immunohistochemical experiments revealed that CD151 and MMP9 were positively expressed in triple-negative breast cancer, and lymph node metastasis, the histological grade, and CD151 and MMP9 expression were found to be independent prognostic factors for the survival of patients with triple-negative breast cancer. Cytological experiments indicated that the knockdown of CD151 or MMP9 slowed triple-negative breast cancer cell growth, migration, and invasion and increased the apoptosis rate. Compared with CD151 knockdown, double MMP9 and CD151 knockdown further promoted cell death and inhibited TNBC cell proliferation, migration, and invasion. Moreover, β-catenin and p-GSK-3β were significantly downregulated. In summary, simultaneously silencing CD151 and MMP9 further suppressed the proliferation, migration and invasion of TNBC cells and promoted their apoptosis. One possible strategy for inducing this effect is to block the GSK-3β/β-catenin pathway.

Charge-Reversal Nano-Drug Delivery Systems in the Tumor Microenvironment: Mechanisms, Challenges, and Therapeutic Applications

The charge-reversal nano-drug delivery system (CRNDDS) is a promising system for delivering chemotherapy drugs and has gained widespread application in cancer treatment. In this review, we summarize the recent advancements in CRNDDSs in terms of cancer treatment. We also delve into the charge-reversal mechanism of the CRNDDSs, focusing on the acid-responsive, redox-responsive, and enzyme-responsive mechanisms. This study elucidates how these systems undergo charge transitions in response to specific microenvironmental stimuli commonly found in tumor tissues. Furthermore, this review explores the pivotal role of CRNDDSs in tumor diagnosis and treatment, and their potential limitations. By leveraging the unique physiological characteristics of tumors, such as the acidic pH, specific redox potential, and specific enzyme activity, these systems demonstrate enhanced accumulation and penetration at tumor sites, resulting in improved therapeutic efficacy and diagnostic accuracy. The implications of this review highlight the potential of charge-reversal drug delivery systems as a novel and targeted strategy for cancer therapy and diagnosis.

Expression of matrix metalloproteinase-9 (MMP-9) in human skin within 1 hour after injury through immunohistochemical staining: a pilot study

Matrix metalloproteinase-9 (MMP-9) is involved in tissue remodeling and in skin wound healing. The present study focuses on the MMP-9 expression in epidermal wound healing within 1 h after injury, to test whether MMP-9 can be used to estimate the time of injury in forensic practice.A sample consisting of 5 individuals undergoing surgery was analyzed. With the consent of the patients, sections of skin were removed from the surgical wound at predefined time intervals. For each subject, 8 sections were taken, one for each time interval defined at 0 '- 1' - 3 '- 5' - 10 '- 15' - 30 '- 60' minutes. The specimens were immunostained with MMP-9, and the number of positively stained cells was examined.The number of positively stained cells showed an increasing trend as a function of time. Less than 30 positively stained cells were found in all cases within 3 min. At the post-infliction time of 5 min, the number of positively stained cells exceeded 30 in 3 out of 5 cases. The number of MMP-positive cells exceeded 40 in all cases in over 10 min.In the light of these results, the count of MMP-9 positive cells might be a useful marker in the wound-age estimation within 1 h in forensic setting. More research is required to collect more samples and to compare samples from the hyperacute phase with those from several days after injury.

Integrating network analysis with differential expression to uncover therapeutic and prognostic biomarkers in esophageal squamous cell carcinoma

Introduction: Esophageal squamous cell carcinoma (ESCC) accounts for over 90% of all esophageal tumors. However, the molecular mechanism underlying ESCC development and prognosis remains unclear, and there are still no effective molecular biomarkers for diagnosing or predicting the clinical outcome of patients with ESCC. Here, we used bioinformatics analysis to identify potential biomarkers and therapeutic targets for ESCC. Methodology: Differentially expressed genes (DEGs) between ESCC and normal esophageal tissue samples were obtained by comprehensively analyzing publicly available RNA-seq datasets from the TCGA and GTEX. Gene Ontology (GO) annotation and Reactome pathway analysis identified the biological roles of the DEGs. Moreover, the Cytoscape 3.10.1 platform and subsidiary tools such as CytoHubba were used to visualize the DEGs' protein-protein interaction (PPI) network and identify hub genes, Furthermore our results are validated by using Single-cell RNA analysis. Results: Identification of 2524 genes exhibiting altered expression enriched in pathways including keratinization, epidermal cell differentiation, G alpha(s) signaling events, and biological process of cell proliferation and division, extracellular matrix (ECM) disassembly, and muscle function. Moreover, upregulation of hallmarks E2F targets, G2M checkpoints, and TNF signaling. CytoHubba revealed 20 hub genes that had a valuable influence on the progression of ESCC in these patients. Among these, the high expression levels of four genes, CDK1 MAD2L1, PLK1, and TOP2A, were associated with critical dependence for cell survival in ESCC cell lines, as indicated by CRISPR dependency scores, gene expression data, and cell line metadata. We also identify the molecules targeting these essential hub genes, among which GSK461364 is a promising inhibitor of PLK1, BMS265246, and Valrubicin inhibitors of CDK1 and TOP2A, respectively. Moreover, we identified that elevated expression of MMP9 is associated with worse overall survival in ESCC patients, which may serve as potential prognostic biomarker or therapeutic target for ESCC. The single-cell RNA analysis showed MMP9 is highly expressed in myeloid, fibroblast, and epithelial cells, but low in T cells, endothelial cells, and B cells. This suggests MMP9's role in tumor progression and matrix remodeling, highlighting its potential as a prognostic marker and therapeutic target. Discussion: Our study identified key hub genes in ESCC, assessing their potential as therapeutic targets and biomarkers through detailed expression and dependency analyses. Notably, MMP9 emerged as a significant prognostic marker with high expression correlating with poor survival, underscoring its potential for targeted therapy. These findings enhance our understanding of ESCC pathogenesis and highlight promising avenues for treatment.

Integrated analysis of single-cell RNA-seq and bulk RNA-seq reveals MMP mediated expression patterns by distinct tumor microenvironment immune profiles in cervical cancer

Background: Few studies have analyzed the effect of matrix metalloproteinase (MMP) expression patterns on the tumor microenvironment (TME) during development of cervical cancer (CC). Methods: We elucidated the landscape and score of MMP expression in CC using single-cell RNA sequencing (scRNA-seq) and RNA sequencing datasets. Further, we aimed the MMPscore to probe the infiltration of immune cells. Further, MMP expression was measured by quantitative Real-Time Polymerase Chain Reaction (qRT-PCR). Results: We found MMPs were cell-type specific expressed in diverse types of CC cells, regulating the relative pathways of CC progression. Two distinct MMP expression patterns that associated infiltrated tumor microenvironment (TME) were identified. We discovered MMP expression patterns can predict the stage of tumor, subtype, stromal activity in the TME, genetic variation, and patient outcome. Patients with high MMPscore benefited from significantly better treatment and clinical outcomes. Conclusion: These results indicate high MMPscore in diverse cell types may regulate immune response and improve the survival of patients with CC, which assist in developing more effective immunization strategies.

Fc receptor-like A promotes malignant behavior in renal cell carcinoma and correlates with tumor immune infiltration

BACKGROUND

Our study aims to investigate the mechanisms through which Fc receptor-like A (FCRLA) promotes renal cell carcinoma (RCC) and to examine its significance in relation to tumor immune infiltration.

MATERIALS AND METHODS

The correlation between FCRLA and data clinically related to RCC was explored using The Cancer Genome Atlas (TCGA), then validated using Gene Expression Omnibus (GEO) gene chip data. Enrichment and protein-protein interaction (PPI) network analyses were performed for FCRLA and its co-expressed genes. FCRLA was knocked down in RCC cell lines to evaluate its impact on biological behavior. Then the potential downstream regulators of FCRLA were determined by western blotting, and rescue experiments were performed for verification. The relevance between FCRLA and various immune cells was analyzed through GSEA, TIMER, and GEPIA tools. TIDE and ESTIMATE algorithms were used to predict the effect of FCRLA in immunotherapy.

RESULTS

Fc receptor-like A was associated with clinical and T stages and could predict the M stage (AUC = 0.692) and 1-3- and 5-year survival rates (AUC = 0.823, 0.834, and 0.862) of RCC patients. Higher expression of FCLRA predicted an unfavorable overall survival (OS) in TCGA-RCC and GSE167573 datasets (p = 0.03, p = 0.04). FCRLA promoted the malignant biological behavior of RCC cells through the pERK1/2/-MMP2 pathway and was associated with tumor immune microenvironment in RCC.

CONCLUSION

Fc receptor-like A is positively correlated with poor outcomes in RCC patients and plays an oncogenic role in RCC through the pERK1/2-MMP2 pathway. Patients with RCC might benefit from immunotherapy targeting FCRLA.

Development of a propionate metabolism-related gene-based molecular subtypes and scoring system for predicting prognosis in bladder cancer

PURPOSE

Bladder cancer (BLCA) is a prevalent malignancy. Dysregulated propionate metabolism, a key cancer factor, suggests a potential target for treating metastatic cancer. However, a complete understanding of the link between propionate metabolism-related genes (PMRGs) and bladder cancer is lacking.

METHODS

From the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, we gathered BLCA patient data, which was classified into distinct subgroups using non-negative matrix factorization (NMF). Survival and pathway analyses were conducted between these clusters. The PMRGs model, created through univariate Cox and least absolute shrinkage and selection operator (LASSO) analyses, was assessed for prognostic significance using Kaplan-Meier and receiver operating characteristic (ROC) curves. A comprehensive evaluation included clinical, tumor microenvironment (TME), drug sensitivity, and immunotherapy analyses. Finally, the expression of HSD17B1 essential genes was confirmed via quantitative real-time polymerase chain reaction (qRT-PCR), with further validation through Transwell, wound healing, colony-formation, and EDU assays.

RESULTS

We discovered two distinct subcategories (CA and CB) within BLCA using NMF analysis, with CA demonstrating significantly better overall survival compared to CB. Additionally, six PMRGs emerged as critical factors associated with propionate metabolism and prognosis. Kaplan-Meier analysis revealed that high-risk PMRGs were correlated with a poorer prognosis in BLCA patients. Moreover, significant differences were observed between the two groups in terms of infiltrated immune cells, immune checkpoint expression, TME scores, and drug sensitivity. Notably, we found that suppressing HSD17B1 gene expression inhibited the invasion of bladder cancer cells.

CONCLUSION

Our study proposes molecular subtypes and a PMRG-based score as promising prognostic indicators in BLCA. Additionally, cellular experiments underscore the pivotal role of HSD17B1 in bladder cancer metastasis and invasion, suggesting its potential as a novel therapeutic target.

Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological images

This study aimed to apply pathomics to predict Matrix metalloproteinase 9 (MMP9) expression in glioblastoma (GBM) and investigate the underlying molecular mechanisms associated with pathomics. Here, we included 127 GBM patients, 78 of whom were randomly allocated to the training and test cohorts for pathomics modeling. The prognostic significance of MMP9 was assessed using Kaplan-Meier and Cox regression analyses. PyRadiomics was used to extract the features of H&E-stained whole slide images. Feature selection was performed using the maximum relevance and minimum redundancy (mRMR) and recursive feature elimination (RFE) algorithms. Prediction models were created using support vector machines (SVM) and logistic regression (LR). The performance was assessed using ROC analysis, calibration curve assessment, and decision curve analysis. MMP9 expression was elevated in patients with GBM. This was an independent prognostic factor for GBM. Six features were selected for the pathomics model. The area under the curves (AUCs) of the training and test subsets were 0.828 and 0.808, respectively, for the SVM model and 0.778 and 0.754, respectively, for the LR model. The C-index and calibration plots exhibited effective estimation abilities. The pathomics score calculated using the SVM model was highly correlated with overall survival time. These findings indicate that MMP9 plays a crucial role in GBM development and prognosis. Our pathomics model demonstrated high efficacy for predicting MMP9 expression levels and prognosis of patients with GBM.

Extracellular vesicle and lipoprotein diagnostics (ExoLP-Dx) with membrane sensor: A robust microfluidic platform to overcome heterogeneity

The physiological origins and functions of extracellular vesicles (EVs) and lipoproteins (LPs) propel advancements in precision medicine by offering non-invasive diagnostic and therapeutic prospects for cancers, cardiovascular, and neurodegenerative diseases. However, EV/LP diagnostics (ExoLP-Dx) face considerable challenges. Their intrinsic heterogeneity, spanning biogenesis pathways, surface protein composition, and concentration metrics complicate traditional diagnostic approaches. Commonly used methods such as nanoparticle tracking analysis, enzyme-linked immunosorbent assay, and nuclear magnetic resonance do not provide any information about their proteomic subfractions, including active proteins/enzymes involved in essential pathways/functions. Size constraints limit the efficacy of flow cytometry for small EVs and LPs, while ultracentrifugation isolation is hampered by co-elution with non-target entities. In this perspective, we propose a charge-based electrokinetic membrane sensor, with silica nanoparticle reporters providing salient features, that can overcome the interference, long incubation time, sensitivity, and normalization issues of ExoLP-Dx from raw plasma without needing sample pretreatment/isolation. A universal EV/LP standard curve is obtained despite their heterogeneities.

[High expression of the stemness-associated molecule Nanog in esophageal squamous cell carcinoma tissues promotes tumor invasion and metastasis by activating the TGF-β signaling pathway]

OBJECTIVE

To investigate the expression of Nanog and its regulatory relationship with MMP-2/MMP-9 proteins in esophageal squamous cell carcinoma (ESCC).

METHODS

We detected Nanog and MMP-2/MMP-9 protein expressions in 127 ESCC tissues and 82 adjacent normal tissues using immunohistochemistry and explored their correlations with the clinicopathological parameters and prognosis of the patients. GEO database was utilized to analyze the pathways enriched with the stemness-related molecules including Nanog, and TIMER online tool was used to analyze the correlations among TβR1, MMP-2, and MMP-9 in esophageal cancer.

RESULTS

Nanog and MMP-2/MMP-9 proteins were significantly upregulated in ESCC tissues and positively intercorrelated. Their expression levels were closely correlated with infiltration depth and lymph node metastasis of ESCC but not with age, gender, or tumor differentiation. The patients with high expressions of Nanog and MMP-2/MMP-9 had significantly shorter survival time. Bioinformatics analysis showed enrichment of stemness-associated molecules in the TGF-β signaling pathway, and the expressions of MMP-2/MMP-9 and TβR1 were positively correlated. In cultured ESCC cells, Nanog knockdown significantly decreased the expression of TβR1, p-Smad2/3, MMP-2, and MMP-9 and strongly inhibited cell migration.

CONCLUSION

The high expressions of Nanog, MMP-2, and MMP-9, which are positively correlated, are closely related with invasion depth, lymph node metastasis, and prognosis of ESCC. Nanog regulates the expressions of MMP-2/MMP-9 proteins through the TGF-β signaling pathway, and its high expression promotes migration of ESCC cells.

Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression

For the diagnosis and outcome prediction of gastric cancer (GC), machine learning methods based on whole slide pathological images (WSIs) have shown promising performance and reduced the cost of manual analysis. Nevertheless, accurate prediction of GC outcome may rely on multiple modalities with complementary information, particularly gene expression data. Thus, there is a need to develop multimodal learning methods to enhance prediction performance. In this paper, we collect a dataset from Ruijin Hospital and propose a multimodal learning method for GC diagnosis and outcome prediction, called GaCaMML, which is featured by a cross-modal attention mechanism and Per-Slide training scheme. Additionally, we perform feature attribution analysis via integrated gradient (IG) to identify important input features. The proposed method improves prediction accuracy over the single-modal learning method on three tasks, i.e., survival prediction (by 4.9% on C-index), pathological stage classification (by 11.6% on accuracy), and lymph node classification (by 12.0% on accuracy). Especially, the Per-Slide strategy addresses the issue of a high WSI-to-patient ratio and leads to much better results compared with the Per-Person training scheme. For the interpretable analysis, we find that although WSIs dominate the prediction for most samples, there is still a substantial portion of samples whose prediction highly relies on gene expression information. This study demonstrates the great potential of multimodal learning in GC-related prediction tasks and investigates the contribution of WSIs and gene expression, respectively, which not only shows how the model makes a decision but also provides insights into the association between macroscopic pathological phenotypes and microscopic molecular features.

Exploring the role of ITGB6: fibrosis, cancer, and other diseases

Integrin β6 (ITGB6), a member of the integrin family of proteins, is only present in epithelial tissues and frequently associates with integrin subunit αv to form transmembrane heterodimers named integrin αvβ6. Importantly, ITGB6 determines αvβ6 expression and availability. In addition to being engaged in organ fibrosis, ITGB6 is also directly linked to the emergence of cancer, periodontitis, and several potential genetic diseases. Therefore, it is of great significance to study the molecular-biological mechanism of ITGB6, which could provide novel insights for future clinical diagnosis and therapy. This review introduces the structure, distribution, and biological function of ITGB6. This review also expounds on ITGB6-related diseases, detailing the known biological effects of ITGB6.

Immune landscape and response to oncolytic virus-based immunotherapy

Oncolytic virus (OV)-based immunotherapy has emerged as a promising strategy for cancer treatment, offering a unique potential to selectively target malignant cells while sparing normal tissues. However, the immunosuppressive nature of tumor microenvironment (TME) poses a substantial hurdle to the development of OVs as effective immunotherapeutic agents, as it restricts the activation and recruitment of immune cells. This review elucidates the potential of OV-based immunotherapy in modulating the immune landscape within the TME to overcome immune resistance and enhance antitumor immune responses. We examine the role of OVs in targeting specific immune cell populations, including dendritic cells, T cells, natural killer cells, and macrophages, and their ability to alter the TME by inhibiting angiogenesis and reducing tumor fibrosis. Additionally, we explore strategies to optimize OV-based drug delivery and improve the efficiency of OV-mediated immunotherapy. In conclusion, this review offers a concise and comprehensive synopsis of the current status and future prospects of OV-based immunotherapy, underscoring its remarkable potential as an effective immunotherapeutic agent for cancer treatment.

Current evidence on the relationships among five polymorphisms in the matrix metalloproteinases genes and prostate cancer risk

Matrix metalloproteinases (MMPs) had a variety of subtypes, which may be related to tumor invasion and angiogenesis, and the polymorphisms from MMPs have been also associated with the susceptibility to a variety of tumors, including prostate cancer (PCa). However, previous studies have not systematically analyzed the association between MMP and prostate cancer, so we conducted systematic data collection and analyzed to evaluate the relationship among polymorphisms in MMPs and PCa susceptibility. We searched PubMed, Web of Science, Embase and Google Scholar for all papers published up to Apr 3rd, 2023, and systematically analyzed the relationship among MMP1-1607 2G/1G, MMP2-1306 T/C, MMP2-735 T/C, MMP7-181 G/A, MMP9-1562 T/C and PCa susceptibility using multiple comparative models and subgroup analyses. We found that MMP2-1306 T/C polymorphism showed associations with PCa susceptibility, with the Ethnicity subgroup (Asian) being more pronounced. Similarly, MMP9-1562 T/C has also had associations with PCa susceptibility. Our current study found that the polymorphisms of, MMP2-1306 T/C, and MMP9-1562 T/C had strong associations with PCa risk.

Revealing the pathogenesis of gastric intestinal metaplasia based on the mucosoid air-liquid interface

BACKGROUND

Gastric intestinal metaplasia (GIM) is an essential precancerous lesion. Although the reversal of GIM is challenging, it potentially brings a state-to-art strategy for gastric cancer therapeutics (GC). The lack of the appropriate in vitro model limits studies of GIM pathogenesis, which is the issue this work aims to address for further studies.

METHOD

The air-liquid interface (ALI) model was adopted for the long-term culture of GIM cells in the present work. This study conducted Immunofluorescence (IF), quantitative real-time polymerase chain reaction (qRT-PCR), transcriptomic sequencing, and mucoproteomic sequencing (MS) techniques to identify the pathways for differential expressed genes (DEGs) enrichment among different groups, furthermore, to verify novel biomarkers of GIM cells.

RESULT

Our study suggests that GIM-ALI model is analog to the innate GIM cells, which thus can be used for mucus collection and drug screening. We found genes MUC17, CDA, TRIM15, TBX3, FLVCR2, ONECUT2, ACY3, NMUR2, and MAL2 were highly expressed in GIM cells, while GLDN, SLC5A5, MAL, and MALAT1 showed down-regulated, which can be used as potential biomarkers for GIM cells. In parallel, these genes that highly expressed in GIM samples were mainly involved in cancer-related pathways, such as the MAPK signal pathway and oxidative phosphorylation signal pathway.

CONCLUSION

The ALI model is validated for the first time for the in vitro study of GIM. GIM-ALI model is a novel in vitro model that can mimic the tissue micro-environment in GIM patients and further provide an avenue for studying the characteristics of GIM mucus. Our study identified new markers of GIM as well as pathways associated with GIM, which provides outstanding insight for exploring GIM pathogenesis and potentially other related conditions.

MMPs-related risk model identification and SAA1 promotes clear cell renal cell carcinoma migration via ERK-AP1-MMPs axis

Matrix Metalloproteinases (MMPs) have been demonstrated to be essential in facilitating the migration and metastasis of clear cell renal cell carcinoma (ccRCC). However, the ability of the MMP family to predict clinical outcomes and guide optimal therapeutic strategies for ccRCC patients remains incompletely understood. In this investigation, we initially conducted a thorough examination of the MMP family in pan-cancer. Notably, MMPs exhibited distinctive significance in ccRCC. Following this, we undertook an extensive analysis to evaluate the clinical value of MMPs and potential mechanisms by which MMPs contribute to the progression of ccRCC. A novel stratification method and prognostic model were developed based on MMPs in order to enhance the accuracy of prognosis prediction for ccRCC patients and facilitate personalized treatment. By conducting multi-omics analysis and transcriptional regulation analysis, it was hypothesized that SAA1 plays a crucial role in promoting ccRCC migration through MMPs. Subsequently, in vitro experiments confirmed that SAA1 regulates ccRCC cell migration via the ERK-AP1-MMPs axis. In conclusion, our study has explored the potential value of the MMP family as prognostic markers for ccRCC and as guides for medication regimens. Additionally, we have identified SAA1 as a crucial factor in the migration of ccRCC.

Anti-Tumor Activity and Mechanism of Silibinin Based on Network Pharmacology and Experimental Verification

Silibinin is a flavonoid compound extracted from the seeds of Silybum marianum (L.) Gaertn. It has the functions of liver protection, blood-lipid reduction and anti-tumor effects. However, the potential molecular mechanism of silibinin against tumors is still unknown. This study aimed to assess the anti-tumor effects of silibinin in adenoid cystic carcinoma (ACC2) cells and Balb/c nude mice, and explore its potential mechanism based on network pharmacology prediction and experimental verification. A total of 347 targets interacting with silibinin were collected, and 75 targets related to the tumor growth process for silibinin were filtrated. Based on the PPI analysis, CASP3, SRC, ESR1, JAK2, PRKACA, HSPA8 and CAT showed stronger interactions with other factors and may be the key targets of silibinin for treating tumors. The predicted target proteins according to network pharmacology were verified using Western blot analysis in ACC2 cells and Balb/c nude mice. In the pharmacological experiment, silibinin was revealed to significantly inhibit viability, proliferation, migration and induce the apoptosis of ACC2 cells in vitro, as well as inhibit the growth and development of tumor tissue in vivo. Western blot analysis showed that silibinin affected the expression of proteins associated with cell proliferation, migration and apoptosis, such as MMP3, JNK, PPARα and JAK. The possible molecular mechanism involved in cancer pathways, PI3K-Akt signaling pathway and viral carcinogenesis pathway via the inhibition of CASP3, MMP3, SRC, MAPK10 and CDK6 and the activation of PPARα and JAK. Overall, our results provided insight into the pharmacological mechanisms of silibinin in the treatment of tumors. These results offer a support for the anti-tumor uses of silibinin.

Bioinformatics-driven identification of prognostic biomarkers in kidney renal clear cell carcinoma

Renal cell carcinoma (RCC), particularly the clear cell subtype (ccRCC), poses a significant global health concern due to its increasing prevalence and resistance to conventional therapies. Early detection of ccRCC remains challenging, resulting in poor patient survival rates. In this study, we employed a bioinformatic approach to identify potential prognostic biomarkers for kidney renal clear cell carcinoma (KIRC). By analyzing RNA sequencing data from the TCGA-KIRC project, differentially expressed genes (DEGs) associated with ccRCC were identified. Pathway analysis utilizing the Qiagen Ingenuity Pathway Analysis (IPA) tool elucidated key pathways and genes involved in ccRCC dysregulation. Prognostic value assessment was conducted through survival analysis, including Cox univariate proportional hazards (PH) modeling and Kaplan-Meier plotting. This analysis unveiled several promising biomarkers, such as MMP9, PIK3R6, IFNG, and PGF, exhibiting significant associations with overall survival and relapse-free survival in ccRCC patients. Cox multivariate PH analysis, considering gene expression and age at diagnosis, further confirmed the prognostic potential of MMP9, IFNG, and PGF genes. These findings enhance our understanding of ccRCC and provide valuable insights into potential prognostic biomarkers that can aid healthcare professionals in risk stratification and treatment decision-making. The study also establishes a foundation for future research, validation, and clinical translation of the identified prognostic biomarkers, paving the way for personalized approaches in the management of KIRC.

The Role and Function of Secretory Protein Matrix Metalloproteinase-3 (MMP3) in Cervical Cancer

Background

We started with RNA-seq analysis and aimed to investigate the possibility of secretory protein matrix metalloproteinase-3(MMP3) as a new diagnosis and therapeutic target in cervical cancer.

Methods

The study was conducted on Nov 2021 at the Second Affiliated Hospital of Qiqihar Medical University, Qiqihar, China. Through conjoint analysis of gene expression data as well as survival rate data, we explored the potential secretary proteins associated with cervical cancer carcinogenesis. One hundred patients aged 38-72 years with clinical stage I-IV cervical cancer, and 100 age-matched healthy women were included. The expression changes in serum of clinical patients was detected. We knockdown or overexpressed the secretory proteins then explored its influence on biological function of cervical cancer cells.

Results

By cross-analysis of The Cancer Genome Atlas (TCGA) database and MetazSecKB database, MMP3 gene was most significantly upregulated in cervical cancer patients (P < 0.05). Furthermore, MMP3 protein was remarkably increased in the serum of clinical cervical cancer patients and decreased after receiving treatment. Overexpression of MMP3 in HT-3 cells or culturing new cells using the supernatant of the medium after MMP3 overexpression could increase cell viability (P < 0.05) as well as proliferation (P < 0.05). Knockdown of MMP3 reduced the phosphorylation of PI3K as well as AKT proteins, while the PI3K phosphorylation inhibitors could suppress the impact of MMP3 on increasing cell proliferation as well as viability.

Conclusion

MMP3 could be an underlying target for early diagnosis and treat cervical cancer in the future.

The Molecular Landscape of Lung Metastasis in Primary Head and Neck Squamous Cell Carcinomas

Background Lung metastasis in head and neck cancer (HNC) patients is a critical concern, often indicating an advanced disease stage and a poor prognosis. This study explores the molecular complexities of such metastases, identifying specific genes and pathways that may serve as valuable targets for diagnosis and treatment. The findings underscore the potential for significantly improved patient outcomes through targeted therapeutic strategies. Methodology In this research, we systematically collected raw gene expression data from head and neck squamous cell carcinoma (HNSCC) and lung squamous cell carcinoma (LSCC). By comparing tumorous and normal gene expression profiles from paired patient samples, we identified differentially expressed genes (DEGs). Network analysis helped visualize protein interactions and pinpoint crucial hub genes. Through validation and comparison across several datasets, we identified common DEGs. Additionally, we employed Kaplan-Meier analysis and log-rank testing to examine the relationship between gene expression patterns and patient survival. Result The study identified 145 overlapping DEGs in both HNSCC and LSCC, which are crucial for cancer progression and linked to lung metastasis, offering vital targets for personalized therapy by identifying key genes affecting disease development and patient survival. Pathway analyses linked these to lung metastasis, while protein-protein interaction network construction and hub gene identification highlighted genes crucial for development and patient survival, offering targets for personalized therapy. Conclusion Identifying key genes and pathways in lung metastasis from HNC, this study highlights potential targets for enhanced diagnosis and therapy. It underscores the crucial role of molecular insights in driving forward personalized treatment approaches and improving patient outcomes.

Effect of biophysical properties of tumor extracellular matrix on intratumoral fate of nanoparticles: Implications on the design of nanomedicine

Nanomedicine has a profound impact on various research domains including drug delivery, diagnostics, theranostics, and regenerative medicine. Nevertheless, the clinical translation of nanomedicines for solid cancer remains limited due to the abundant physiological and pathological barriers in tumor that hinder the intratumoral penetration and distribution of these nanomedicines. In this article, we review the dynamic remodeling of tumor extracellular matrix during the tumor progression, discuss the impact of biophysical obstacles within tumors on the penetration and distribution of nanomedicines within the solid tumor and collect innovative approaches to surmount these obstacles for improving the penetration and accumulation of nanomedicines in tumor. Furthermore, we dissect the challenges and opportunities of the respective approaches, and propose potential avenues for future investigations. The purpose of this review is to provide a perspective guideline on how to effectively enhance the penetration of nanomedicines within tumors using promising methods.

Long noncoding RNA LINC00858 aggravates the progression of esophageal squamous cell carcinoma via regulating the miR-425-5p/ABL2 axis

Esophageal squamous cell carcinoma (ESCC) is one of the most fatal cancers with high morbidity and mortality, which severely affects people's lives. Long intergenic non-protein coding RNA 858 (LINC00858) was confirmed to promote the progression of colorectal cancer and lung cancer. However, the role of lncRNA LINC00858 is still unknown in ESCC. Herein, the main purpose of research was to explore LINC00858 function and its impact on ESCC cell biological behaviors. RT-qPCR was used to test the expression of LINC00858, miR-425-5p and ABL proto-oncogene 2 (ABL2) in ESCC cells. Functional experiments such as EdU assay, CCK-8 assay, transwell assay and Western blot assay were conducted to investigate the biological behaviors of ESCC cells. Luciferase reporter assay and RIP assay were implemented to determine the binding situation among RNAs. LINC00858 expression was abnormally high in ESCC cells and down-regulation of LINC00858 could restrain the proliferation, invasion, migration and EMT process of ESCC cells. Furthermore, miR-425-5p was proved to be sponged by LINC00858 and was down-regulated in ESCC cells. Besides, we discovered that miR-425-5p could target ABL2. Moreover, knockdown of ABL2 reversed the promoting function of miR-425-5p inhibitor on ESCC progression. LINC00858 aggravated ESCC progression via regulating the miR-425-5p/ABL2 axis.

Protein Tyrosine Phosphatase PRL-3: A Key Player in Cancer Signaling

Protein phosphatases are primarily responsible for dephosphorylation modification within signal transduction pathways. Phosphatase of regenerating liver-3 (PRL-3) is a dual-specific phosphatase implicated in cancer pathogenesis. Understanding PRL-3's intricate functions and developing targeted therapies is crucial for advancing cancer treatment. This review highlights its regulatory mechanisms, expression patterns, and multifaceted roles in cancer progression. PRL-3's involvement in proliferation, migration, invasion, metastasis, angiogenesis, and drug resistance is discussed. Regulatory mechanisms encompass transcriptional control, alternative splicing, and post-translational modifications. PRL-3 exhibits selective expressions in specific cancer types, making it a potential target for therapy. Despite advances in small molecule inhibitors, further research is needed for clinical application. PRL-3-zumab, a humanized antibody, shows promise in preclinical studies and clinical trials. Our review summarizes the current understanding of the cancer-related cellular function of PRL-3, its prognostic value, and the research progress of therapeutic inhibitors.

CORONAVIRUS SARS-COV-2 MODIFIES ANTITUMOR REDOX STATUS OF BLOOD AND INTERCELLULAR MATRIX IN METASTATIC COLORECTAL CANCER PATIENTS (A PILOT STUDY)

BACKGROUND

The current studies demonstrate that SARS-CoV-2 infection results in increasing complications incidence and the total risk of death in cancer patients. SARS-CoV-2 infection triggers oxidative stress representing one of the major factors of the inflammation contributing to the complicated course of the diseases including cancer.

AIM

To assess the effect of hypoxia caused by SARS-CoV-2 infection on the redox status of blood in patients with metastatic colorectal cancer (mCRC).

MATERIALS AND METHODS

10 patients with SARS-CoV-2, 11 mCRC patients with metachronous liver disease, and 14 mCRC patients with preceding SARS-CoV-2 infection were included in the study. The data on blood biochemistry (C-reactive protein, ferritin, transferrin, and free iron) were analyzed. The levels of superoxide radicals (ROS) in blood cells were determined by electron paramagnetic resonance (EPR) using the spin trap technique. The metalloproteinase activity was measured by polyacrylamide gel zymography with the addition of gelatin as a substrate.

RESULTS

In mCRC patients with prior SARS-CoV-2 infection, a 1.26-fold increase in ROS-generating activity of blood neutrophils was observed compared to mCRC patients with no history of SARS-CoV-2 infection. The blood content of C-reactive protein, transferrin, and free iron in mCRC patients with prior SARS-CoV-2 infection increased by 2, 6, and 1.4 times, respectively. The total activity of gelatinases in platelets and neutrophils in the blood of mCRC patients with prior SARS-CoV-2 infection was 1.4 and 1.2 times higher compared to mCRC patients with no history of SARS-CoV-2 infection.

CONCLUSION

mCRC patients with prior COVID-19 have a higher risk of exacerbation of inflammatory reactions. SARS-CoV-2 infection results in redox dіsbalance, which may contribute to the unfavorable course of the disease.

Exploring the therapeutic potential of curcumin in oral squamous cell carcinoma (HSC-3 cells): Molecular insights into hypoxia-mediated angiogenesis

BACKGROUND

Oral cancer represents a substantial global health burden, often associate with hypoxia-induced angiogenesis as a critical factor in its progression. Curcumin, a naturally occurring bioactive compounds, has gained increasing attention for its potential anticancer properties.

OBJECTIVE

To assess the impact of curcumin on oral cancer, particularly its role in modulating HIF-1α-mediated angiogenesis in HSC-3 cells.

METHODS

Our investigation involved multiple experimental approaches, including MTT assay, aerobic glycolysis by metabolic kit, cell cycle, and apoptosis assessment via flow cytometry. Furthermore, we employed molecular docking techniques to examine the interactions between curcumin and key angiogenesis related proteins, including HIF-1α, VEGF-B, MMP-3, and STAT3.

RESULTS

Our results demonstrate that curcumin exerts significant effects on the cell survivability, cell cycle regulation, and apoptosis induction in oral cancer cells. These effects were particularly pronounced under the conditions of HIF-1α mediated angiogenesis. Computational binding analysis revealed strong binding interactions with curcumin and the selected proteins, implying a plausible mechanism through which curcumin may modulate the angiogenic pathways in oral cancer.

CONCLUSION

Our research sheds light on the diverse effects of curcumin on oral cancer cells, emphasizing its potential as a promising therapeutic tool for addressing hypoxia-induced angiogenesis. However, further investigation is essential to comprehensively understand the molecular mechanisms underlying these effects in in vitro models. This deeper comprehension is crucial for translating these findings into clinical applications aimed at improving oral cancer treatment.

Redefining metalloproteases specificity through network proteolysis

Proteolytic processes on cell surfaces and extracellular matrix (ECM) sustain cell behavior and tissue integrity in health and disease. Matrix metalloproteases (MMPs) and a disintegrin and metalloproteases (ADAMs) remodel cell microenvironments through irreversible proteolysis of ECM proteins and cell surface bioactive molecules. Pan-MMP inhibitors in inflammation and cancer clinical trials have encountered challenges due to promiscuous activities of MMPs. Systems biology advances revealed that MMPs initiate multifactorial proteolytic cascades, creating new substrates, activating or suppressing other MMPs, and generating signaling molecules. This review highlights the intricate network that underscores the role of MMPs beyond individual substrate-enzyme activities. Gaining insight into MMP function and tissue specificity is crucial for developing effective drug discovery strategies and novel therapeutics. This requires considering the dynamic cellular processes and consequences of network proteolysis.

Alpha-2-Macroglobulin Is a Novel Anticancer Agent

INTRODUCTION

Melanoma is the most aggressive skin cancer, with an increasing occurrence. Despite the recent important improvements due to novel immunotherapy approaches, when late diagnosed, melanoma prognosis is poor due to the metastatic progression and drug-resistance onset. Therefore, there is an urgent need to identify additional therapeutic targets. Melanoma invasive behavior is related to the activity of metalloproteases, able to degrade extracellular matrix leading to tumor dissemination. A recent study suggested that the most potent proteases inhibitor alpha-2-macroglobulin (A2MG) from plasma of hibernating fishes exerts potent antiproliferative effects. Our previous studies showed a significant reduction of A2MG in sera from mice/human melanoma models.

METHODS

Gene and protein expression studies have been performed by using platforms and databases available online containing expression data from thousands of patients and healthy controls.

RESULTS

We carried out an extensive bioinformatics analysis to evaluate the A2MG gene/protein expression on a large cohort of patients affected by many different cancer types, compared to healthy control subjects, and we found a highly significant difference of A2MG expression in 20 out of 31 cancer types (including melanoma) compared to healthy controls. Similar results were also confirmed at the proteomic level using another platform available online. Further, we found that higher A2MG expression is significantly related to overall survival in different cancers including melanoma.

CONCLUSION

Our results strongly suggest A2MG as a novel molecular target in melanoma therapy, as well as in other cancer types.