Tumor Microenvironment

Comprehensive analysis of mitochondrial-related gene signature for prognosis, tumor immune microenvironment evaluation, and candidate drug development in colon cancer

Colon adenocarcinoma (COAD), a common digestive system malignancy, involves crucial alterations in mitochondria-related genes influencing tumor growth, metastasis, and immune evasion. Despite limited studies on prognostic models for these genes in COAD, we established a mitochondrial-related risk prognostic model, including nine genes based on available TCGA and MitoCarta 3.0 databases, and validated its predictive power. We investigated the tumor microenvironment (TME), immune cell infiltration, complex cell communication, tumor mutation burden, and drug sensitivity of COAD patients using R language, CellChat, and additional bioinformatic tools from single-cell and bulk-tissue sequencing data. The risk model revealed significant differences in immune cell infiltration between high-risk and low-risk groups, with the strongest correlation found between tissue stem cells and macrophages in COAD. The risk score exhibited a robust correlation with TME signature genes and immune checkpoint molecules. Integrating the risk score with the immune score, microsatellite status, or TMB through TIDE analysis enhanced the accuracy of predicting immunotherapy benefits. Predicted drug efficacy offered options for both high- and low-risk group patients. Our study established a novel mitochondrial-related nine-gene prognostic signature, providing insights for prognostic assessment and clinical decision-making in COAD patients.

CNPY2 in Solid Tumors: Mechanisms, Biomarker Potential, and Therapeutic Implications

Canopy FGF signaling regulator 2 (CNPY2) has emerged as a crucial player in cancer development by promoting cell proliferation, tissue repair, and angiogenesis. This review synthesizes the current understanding of CNPY2's role in solid tumors, particularly renal cell carcinoma, prostate cancer, hepatocellular carcinoma, and non-small-cell lung cancer. CNPY2 modulates key pathways such as p53, MYLIP, NF-κB, and AKT/GSK3β, thereby driving tumor growth and progression. In renal cell carcinoma, CNPY2 paradoxically promotes tumor growth through p53 upregulation, while in hepatocellular carcinoma, CNPY2 drives cell cycle progression via p53 destabilization. In prostate cancer, it enhances tumor progression by stabilizing androgen receptors through MYLIP interaction, and in non-small-cell lung cancer, it contributes to chemoresistance and metastasis through NF-κB and AKT/GSK3β signaling. Additionally, CNPY2 influences the tumor microenvironment, impacting immune function and metastatic potential. As a potential biomarker, CNPY2 shows promise for cancer detection and prognosis, particularly when used in combination with other markers. Early therapeutic strategies, including siRNA and miRNA approaches, are under exploration, though challenges remain due to CNPY2's expression in normal tissues and potential off-target effects. This review underscores the need for further research to fully elucidate CNPY2's oncogenic mechanisms and develop targeted therapies. Improved understanding of CNPY2's diverse roles may lead to novel diagnostic and therapeutic approaches in solid tumors.

Cryoablation-induced modulation of Treg cells and the TGF-β pathway in lung adenocarcinoma: implications for increased antitumor immunity

BACKGROUND

Cryoablation plays a key role in the comprehensive management of lung adenocarcinoma, characterized by its ability to activate antitumor immunity. This study aimed to explore the impact of cryoablation on the local immune microenvironment, focusing on regulatory T cells (Tregs) and the TGF-β pathway.

METHODS

Single-cell sequencing was employed to identify differences in immune cell populations and related pathway expression between lung adenocarcinoma tissues and adjacent noncancerous tissues. Prospective observations of changes in Tregs in the peripheral blood pre- and post-cryoablation for lung adenocarcinoma were conducted at Dongfang Hospital, Beijing University of Chinese Medicine. Bulk RNA-seq analysis of mouse tumor tissues was performed to predict the potential mechanisms underlying cryoablation-induced antitumor immunity. Finally, these predictions were validated through in vitro and in vivo experiments employing cell cryoablation and mouse subcutaneous tumor transplantation models.

RESULTS

Single-cell RNA sequencing analysis revealed intricate interactions between Tregs subpopulations and the regulation of the immune response in lung adenocarcinoma, highlighting the involvement of the TGF-β pathway. A significant decrease in the level of Tregs was noted at 30 days post-cryoablation compared to pre-surgical and 3-day post-surgery levels. The cellular and murine cryoablation models validated the inhibitory effect of cryoablation on Tregs and its potential to stimulate antitumor immunity. Additionally, the results of bulk RNA-seq demonstrated the role of cryoablation in regulating postoperative immunity via the TGF-β pathway. Cryoablation decreased the expression levels of TGF-β1, suppressed the phosphorylation of Smad2 and Smad3, and downregulated the expression of FOXP3, thereby inhibiting the conversion of CD4 + T cell precursors into Tregs. Moreover, cryoablation enhanced the expression of interferon-gamma (IFN-γ), thereby promoting its antitumor activity.

CONCLUSIONS

This study revealed the effective modification of the lung adenocarcinoma microenvironment by cryoablation through the suppression of Tregs and activation of antitumor immunity via the TGF-β pathway. These findings hold implications for optimizing cryoablation-based therapies and guiding future clinical trials on lung adenocarcinoma treatment.

TRIAL REGISTRATION

This trial was registered with the Chinese Clinical Trial Registry (Chictr.org.cn, ChiCTR2000038580, Sep 24, 2020).

Causal relationship between hormone levels and lung cancer: a Mendelian randomization study

Background

Lung cancer is a highly prevalent neoplastic disease in various regions of the world, but the mechanism of its occurrence, development, and metastasis is not clear. Different hormone levels have different potential roles in the occurrence, development, and metastasis of lung cancer, but the association between hormone levels and lung cancer is not clear.

Objective

This study aims to explore the causal relationship between hormone levels and lung cancer using Mendelian randomization. Sensitivity and heterogeneity tests were conducted to ensure the reliability of the results, offering insights into the prevention, diagnosis, and treatment of lung cancer.

Methods

We employed a two-sample Mendelian randomization (MR) analysis using large-scale publicly available genome-wide association studies (GWAS) data to assess the causal relationship between hormone levels and lung cancer. We explored the causal relationship between 15 hormones and three subtypes of lung cancer. The inverse variance weighted (IVW) method was used as the primary analysis, while MR-Egger, weighted median, weighted mode, and simple median were applied as supplementary methods. Sensitivity and heterogeneity tests were conducted to ensure the robustness of the findings.

Results

We identified six hormone levels to be significantly associated with lung squamous cell carcinoma (LUSC): total testosterone, oestradiol, thyrotropin-releasing hormone, insulin, parathyroid hormone, and glucocorticoid. Among them, total testosterone, estradiol, and thyrotropin-releasing hormone were negatively correlated with morbidity. Insulin, prolactin levels, and parathyroid hormone were positively correlated with morbidity. Five hormone levels were significantly associated with lung adenocarcinoma (LUAD): luteinizing hormone, thyroid hormones, insulin, prolactin levels, and parathyroid hormone. Luteinizing hormone and thyroid hormones were negatively correlated with morbidity, while insulin, prolactin levels, and parathyroid hormone were positively correlated with morbidity. Similarly, five hormone levels were linked to small cell lung cancer (SCLC): total testosterone, luteinizing hormone, estradiol, PTHrP, and insulin. Total testosterone and luteinizing hormone were negatively correlated with morbidity, while estradiol, Parathyroid Hormone-Related Peptide (PTHrP), and insulin were positively correlated with morbidity. Several hormones were associated with different subtypes of lung cancer. Insulin was significantly associated with all three types of lung cancer. Testosterone showed positive effects in LUSC and SCLC, and estradiol had varying effects, with a negative correlation in SCLC and a positive correlation in LUSC. Testosterone and estradiol were not significantly associated with LUAD. Luteinizing hormone showed positive effects in LUAD and SCLC, and parathyroid hormone showed negative effects in LUSC and LUAD.

Conclusion

This study demonstrates significant causal relationships between specific hormone levels and various types of lung cancer, providing valuable insights for prevention, diagnosis, and treatment strategies of lung cancer.

A metabolic fingerprint of ovarian cancer: a novel diagnostic strategy employing plasma EV-based metabolomics and machine learning algorithms

Ovarian cancer (OC) is the third most common malignant tumor of women and is accompanied by an alteration of systemic metabolism. A liquid biopsy that captures and detects tumor-related biomarkers in body fluids has great potential for OC diagnosis. EVs, nanosized extracellular vesicles found in the blood, have been proposed as promising biomarkers for liquid biopsies. In this study we recruited 37 OC patients, 22 benign ovarian tumor (BE) patients, and 46 clinically healthy control patients (CON). Plasma EVs were purified from blood samples and sensitive thermal separation probe-based mass spectrometry analysis using a global untargeted metabolic profiling strategy was employed to characterize the metabolite fingerprints. Uniform manifold approximation and projection (UMAP) analysis demonstrated a distinct separation of EVs among the three groups. We screened for diagnostic biomarkers from plasma EV metabolites using seven machine learning algorithms, including artificial neural network (ANN), decision tree (DT), K nearest neighbor (KNN), logistics regression (LR), Naïve Bayes (NB), random forest (RF), and support vector machine (SVM). For the OC-CON comparison, the highest AUC values were found for RF (0.91), ANN (0.90) and NB (0.90), with the F1-scores of 0.88, 0.83, and 0.76 respectively. For the OC-BE comparison, SVM (0.94), RF (0.86), and KNN (0.86) gave the highest AUCs, with F1-scores of 0.80, 0.80, and 0.91 respectively. A total of 19 and 158 metabolic features exhibited significant differences (FC = 1.5, q < 0.01) in the OC vs BE and OC vs CON comparisons, respectively. Notably, the quantities of 9-octadecenamide and 1,4-methanobenzocyclodecene were significantly elevated, while maltol showed a significant reduction in the OC group compared to the BE group. When comparing the OC group to the CON group, the concentrations of 4-amino-furazan-3-carboxylic acid 2-hydroxy-4-methoxybenzaldehyde, N-phenylethyl, and 4-morpholineethanamine were significantly elevated, while the remaining metabolites, including hydrazine and pyridine sulfonamide, were reduced, in the OC group. The metabolites showing different abundancies are associated with cancer-related mutations, immune responses, and metabolic reprogramming. We demonstrate that the RF algorithm, combined with sensitive thermal separation probe-based mass spectrometry analysis of plasma EVs, can effectively identify OC patients with good accuracy. Thus, our study has shortlisted a set of potential biomarkers in plasma EVs, and the proposed approach could serve as a routine prescreening tool for ovarian cancer.

Immune Cell Engagers: Advancing Precision Immunotherapy for Cancer Treatment

Immune cell engagers (ICEs) are an emerging class of immunotherapies designed to harness the immune system's anti-tumor potential through precise targeting and activation of immune effector cells. By engaging T cells, natural killer (NK) cells, and phagocytes, ICEs overcome challenges such as immune evasion and MHC downregulation, addressing critical barriers in cancer treatment. T-cell engagers (TCEs), led by bispecific T-cell engagers (BiTEs), dominate the field, with innovations such as half-life-extended BiTEs, trispecific antibodies, and checkpoint inhibitory T-cell engagers driving their application in hematologic and solid malignancies. NK cell engagers (NKCEs) and phagocyte cell engagers (PCEs) are rapidly progressing, drawing on NK cells' innate cytotoxicity and macrophages' phagocytic abilities to target tumors, particularly in immunosuppressive microenvironments. Since the FDA approval of Blinatumomab in 2014, ICEs have transformed the oncology landscape, with nine FDA-approved products and numerous candidates in clinical trials. Despite challenges such as toxicity, resistance, and limited efficacy in solid tumors, ongoing research into advanced platforms and combination therapies highlights the growing potential of ICEs to provide personalized, scalable, and effective cancer treatments. This review investigates the mechanisms, platforms, research trends, and clinical progress of ICEs, emphasizing their pivotal role in advancing precision immunotherapy and their promise as a cornerstone of next-generation cancer therapies.

Exploring lung cancer microenvironment: pathways and nanoparticle-based therapies

Lung cancer stands out as a significant global health burden, with staggering incidence and mortality rates primarily linked to smoking and environmental carcinogens. The tumor microenvironment (TME) emerges as a critical determinant of cancer progression and treatment outcomes, comprising a complex interplay of cells, signaling molecules, and extracellular matrix. Through a comprehensive literature review, we elucidate current research trends and therapeutic prospects, aiming to advance our understanding of TME modulation strategies and their clinical implications for lung cancer treatment. Dysregulated immune responses within the TME can facilitate tumor evasion, limiting the efficacy of immune checkpoint inhibitors (ICI). Consequently, TME modulation strategies have become potential avenues to enhance therapeutic responses. However, conventional TME-targeted therapies often face challenges. In contrast, nanoparticle (NP)-based therapies offer promising prospects for improved drug delivery and reduced toxicity, leveraging the enhanced permeability and retention (EPR) effect. Despite NP design and delivery advancements, obstacles like poor tumor cell uptake and off-target effects persist, necessitating further optimization. This review underscores the pivotal role of TME in lung cancer management, emphasizing the synergistic potential of immunotherapy and nano-therapy.

E3 ligase TRIM8 suppresses lung cancer metastasis by targeting MYOF degradation through K48-linked polyubiquitination

Ubiquitination is a posttranslational modification that regulates tumour progression-associated proteins through the ubiquitin‒proteasome system, making E3 ligases potential antitumour targets. Here, we report that TRIM8, a member of the TRIM family and an E3 ligase, can act as a tumour suppressor in non-small cell lung cancer (NSCLC). Both gain- and loss-of-function experiments revealed that TRIM8 inhibits the proliferation, colony formation, migration and invasion of NSCLC cells. Experiments with a xenograft model showed that TRIM8 expression suppresses tumour metastasis in vivo. Moreover, low expression of TRIM8 was associated with poor overall survival in both the Taiwanese and GEO lung cancer cohorts. TRIM8 overexpression in lung cancer cells reduced MYOF expression, and restoring MYOF rescued cell migration in TRIM8-overexpressing cells. TRIM8 targeted MYOF for K48-linked ubiquitination, facilitating proteasome-mediated degradation and subsequently suppressing the extracellular secretion of MMPs. Our results provide new insights into the contribution of TRIM8 to lung cancer progression, suggesting that TRIM8 is a new biomarker and a novel therapeutic target for lung cancer.

DPH2 is a biomarker associated with cell death, immunity and prognosis based on pan-cancer analysis

OBJECTIVE

DPH2, also known as DPH2L2, is one of two human genes similar to yeast dph2. One DPH2 variant has been linked to diphthamide syndrome, a disorder affecting ribosome function. While studies on DPH2 in a single cancer type have been documented, no comprehensive investigations of DPH2 across pan-cancer have been reported, its role in tumor pathogenesis and development remains unclear.

METHODS

The predictive significance and immune and biological roles of DPH2 in 33 different cancer types were investigated. We conducted a comprehensive analysis of DPH2 in pan-cancer using various bioinformatics tools, including expression, prognosis, its association with immune infiltration, cell death, methylation, and many other aspects. In addition, qRT-PCR and immunohistochemistry experiments confirmed DPH2 expression in prostate adenocarcinoma (PRAD) tissues, DPH2 biological function in PRAD was assessed using in vitro experiments, and used immunofluorescence to validate the proteins associated with DPH2.

RESULTS

The DPH2 expression was high in most tumors and showed significant correlations with OS and PFI. Our experimental findings confirmed that DPH2 is highly expressed in PRAD, while DPH2 knockdown inhibited prostate cancer cell proliferation, invasion, and migration. Furthermore, our data suggest that DPH2 may significantly influence immune cell infiltration. DPH2 was significantly correlated with cell death-related genes. DPH2 can influence cancer progression through changes in DNA methylation levels, or N6-methyladenosine site modification. GSEA and GSVA revealed that DPH2 levels were significantly associated with enrichment for oncogenic and immune-related pathways. Drug sensitivity analysis revealed that the elevated DPH2 expression is linked to development of resistance against numerous anticancer medications.

CONCLUSION

DPH2 has potential as a novel prognostic biomarker that may significantly impact tumor onset and progression. Consequently, DPH2 could serve as a target for new cancer treatments.

Crosstalk of SPINK4 Expression With Patient Mortality, Immunotherapy and Metastasis in Pan-Cancer Based on Integrated Multi-Omics Analyses

Background

Cancer remains a major global health challenge, with early detection and prompt treatment being crucial for reducing mortality rates. The SPINK4 has been linked to the development of several tumors, and there is growing evidence of its involvement. However, its specific functions and effects in different cancer types remain unclear.

Methods

The association between SPINK4 expression levels and tumor progression was investigated and confirmed using the TCGA dataset. Kaplan-Meier curves were utilized to examine the correlation between SPINK4 expression with survival outcomes in pan-cancer patients. The Pearson method was employed to investigate the association of SPINK4 expression with the tumor microenvironment, stemness score, immunoinfiltrating subtype, and chemotherapy sensitivity in human different cancer types. Wound healing and Transwell assays were performed to confirm the roles of the model gene in colon adenocarcinoma cells.

Results

The expression of SPINK4 shows heterogeneity across pan-cancer tissues, and is closely associated with poor prognosis, immune cell invasion, tumor cell resistance, and tumor metastasis in a various human cancer. Mutation of SPINK4 hold significant predictive value for poor prognosis of pan-cancer patients. In addition, SPINK4 expression was significantly correlated with the tumor microenvironment (stromal cells and immune cells) and stemness score (DNAss and RNAss) in human pan-cancer tissues, particularly in BLCA and COAD. Single-cell sequencing analysis showed that SPINK4 is mainly expressed in endothelial cells in BLCA and in malignant cells in COAD. Drug resistance analysis showed a significant association between SPINK4 expression and sensitivity to several cancer chemotherapy drugs. Importantly, overexpression of SPINK4 promoted the metastasis of colon cancer cell lines (HCT116 and RKO), whereas SPINK4 knockout markedly inhibited their metastasis.

Conclusion

These findings reveal the crucial role of SPINK4 in the pan-cancer process and may have significant implications for the diagnosis and treatment of cancer in the future.

Development and validation of a nomogram to predict recurrence in epithelial ovarian cancer using complete blood count and lipid profiles

Objective

Ovarian cancer is one of the most lethal gynecological malignancies. This study aimed to evaluate the prognostic significance of complete blood count (CBC) and lipid profile in patients with optimally debulked epithelial ovarian cancer (EOC) and develop a nomogram model to predict recurrence-free survival (RFS).

Methods

This retrospective study analyzed patients diagnosed with EOC between January 2018 and June 2022.

Results

A total of 307 patients were randomly divided into training and validation sets in a ratio of 7:3. Grade, International Federation of Gynecology and Obstetrics (FIGO) stage, platelet-to-lymphocyte ratio, red blood cell distribution width-coefficient of variation, triglycerides, and human epididymal protein 4 were identified as independent prognostic factors. The novel nomogram displayed a good predictive performance, with a concordance index (C-index) of 0.787 in the training group and 0.807 in the validation group. The areas under the curve for 1-, 3-, and 5-year RFS were 0.770, 0.881, and 0.904, respectively, in the training group, and 0.667, 0.906, and 0.886, respectively, in the validation group. The calibration curves exhibited good concordance between the predicted survival probabilities and actual observations. Time-dependent C-index curves, integrated discrimination improvement, net reclassification index, and decision curve analysis showed that the nomogram outperformed FIGO staging.

Conclusion

This study established and validated a nomogram combining CBC and lipid profiles to predict RFS in patients with optimally debulked EOC, which is expected to aid gynecologists in individualized prognosis assessment and clinical management.

Platelet Lymphocyte Ratio as a Prognosticator in Oral Cancer Patients

Objective

To study the prognostic predictive value of the platelet lymphocyte ratio as a clinical parameter of the outcome of the Sudanese OSCC patients.

Method

Forty two oral cancer patients were selected for the study. The patients surgically managed in the period December 2018 to June 2020. The PLR was recorded and correlated with :the status of surgical margins, the lymphovascular invasion, the extranodal extension, the microscopic depth and the patient's survival (dead/ alive).

Result

A ratio of 170 was considered to be a cut off point of the PLR; as patients with a ratio higher than 170 were found to have a bad prognosis. Twenty-four patients (59.5%) had a PLR higher than 170. Patients with PLR equal to 170 or less have 45% decrease in the odds of survival and 57% decrease in the odds of having positive lymph nodes. Thirty-three percent passed away.

Conclusion

The PLR is an affordable, practical and efficient way to predict an OSCC patient's overall survival.

Signature of collagen alpha-1(x) gene expression in human cancers and their therapeutic implications

Cancers are a class of disorders that entail uncontrollably unwanted cell development with dissemination. One in six fatalities globally is attributed to cancer, a global health issue. The analysis of the entire DNA sequence and how it expresses itself in tumor cells is known as cancer genomics. The development of novel cancer treatments has been facilitated because of the genomics method. COL10A1 gene, a short chain collagen, and an interstitial matrix component, acts as a predictive biomarker for cancer prognosis. Recognizing the fundamental consequences of mutations in the COL10A1 gene and its expression in cancer is crucial. Analyzing the COL10A1 gene expression with a data set and gene expression patterns shows the level of display of the tumor. Examining the therapeutic techniques of COL10A1 gene expression leads to early detection, screening, radiation therapy, and advanced developments. This review highlights the value of the COL10A1 gene in breast, gastric, pancreatic, lung, and colorectal cancers, emphasizing its role in gene expression patterns and therapeutic techniques.

Unraveling molecular interconnections and identifying potential therapeutic targets of significance in obesity-cancer link

Obesity, a global health concern, is associated with severe health issues like type 2 diabetes, heart disease, and respiratory complications. It also increases the risk of various cancers, including melanoma, endometrial, prostate, pancreatic, esophageal adenocarcinoma, colorectal carcinoma, renal adenocarcinoma, and pre-and post-menopausal breast cancer. Obesity-induced cellular changes, such as impaired CD8+ T cell function, dyslipidemia, hypercholesterolemia, insulin resistance, mild hyperglycemia, and fluctuating levels of leptin, resistin, adiponectin, and IL-6, contribute to cancer development by promoting inflammation and creating a tumor-promoting microenvironment rich in adipocytes. Adipocytes release leptin, a pro-inflammatory substance that stimulates cancer cell proliferation, inflammation, and invasion, altering the tumor cell metabolic pathway. Adiponectin, an insulin-sensitizing adipokine, is typically downregulated in obese individuals. It has antiproliferative, proapoptotic, and antiangiogenic properties, making it a potential cancer treatment. This narrative review offers a comprehensive examination of the molecular interconnections between obesity and cancer, drawing on an extensive, though non-systematic, survey of the recent literature. This approach allows us to integrate and synthesize findings from various studies, offering a cohesive perspective on emerging themes and potential therapeutic targets. The review explores the metabolic disturbances, cellular alterations, inflammatory responses, and shifts in the tumor microenvironment that contribute to the obesity-cancer link. Finally, it discusses potential therapeutic strategies aimed at disrupting these connections, offering valuable insights into future research directions and the development of targeted interventions.

Investigating the Impact of B Cell-Related Genes on Colorectal Cancer Immunosuppressive Environment and Immunotherapy Evasion

We aimed to elucidate the prognostic and immunological roles of B cell-related genes in colorectal cancer (CRC). This study comprehensively integrated data from single-cell RNA-sequencing, TCGA, GEO, IMvigor210, GDSC, CancerSEA, HPA, and TISIDB databases to explore prognostic implications and immunological significance of B cell-related gene signature in CRC. We identified seven prognostically significant B cell-related genes for constructing a risk score. Clinical relevance analysis indicated that this risk score served as an independent prognostic factor, with the model accurately predicting patient outcomes. GSEA results implicated the risk score in immune function, cell cycle, and DNA replication. Immune infiltration analysis revealing lower levels of B cells, CD4+ cells, and CD8+ cells in the high-risk group, correlating with decreased immune activity and function. IMvigor210 and TIDE analysis indicated poorer prognosis among high-risk group patients receiving immune therapy. Additionally, the high-risk group exhibited lower sensitivity to immune therapy. Further analysis of drug sensitivity suggested higher resistance to common chemotherapy drugs among high-risk groups. Finally, we identified HSPA1A as the gene with the strongest association with immune and inflammatory responses. Validation of HSPA1A protein expression and prognosis demonstrated elevated expression in CRC compared to normal colorectal tissue, further reinforcing its association with poorer prognosis and higher tumor stage. The risk score exhibited substantial variations in clinical characteristics, functional mechanism, TMB, drug sensitivity, immune cell infiltration, and immune subtype. Our findings may aid in clinical decision-making by shedding light on novel and promising biomarkers for CRC prognosis and immunotherapy response prediction.

Integrins and integrin-driven secretory pathways as multi-dimensional regulators of tumor-associated macrophage recruitment and reprogramming in tumor microenvironment

Integrins, a group of transmembrane receptors, play a crucial role in mediating the interactions between cells and extracellular matrix (ECM) proteins. The intracellular signaling initiated by these cell-matrix interactions in leukocytes mediates many essential cellular processes such as survival, migration, metabolism, and other immunological functions. Macrophages, as phagocytes, participate in both proinflammatory and anti-inflammatory processes, including progression. Numerous reports have shown that the integrin-regulated secretome, comprising cytokines, chemokines, growth factors, proteases, and other bioactive molecules, is a crucial modulator of macrophage functions in tumors, significantly influencing macrophage programming and reprogramming within the tumor microenvironment (TME) in addition to driving their step-by-step entry process into tumor tissue spaces. Importantly, studies have demonstrated a pivotal role for integrin receptor-mediated secretome and associated signaling pathways in functional reprogramming from anti-tumorigenic to pro-tumorigenic phenotype in tumor-associated macrophages (TAMs). In this comprehensive review, we have provided an in-depth analysis of the latest findings of various key pathways, mediators, and signaling cascades associated with integrin-driven polarization of macrophages in tumors. This manuscript will provide an updated understanding of the modulation of inflammatory monocytes/ macrophages and TAMs by integrin-driven secretory pathways in various functions such as migration, differentiation, and their role in tumor progression, angiogenesis, and metastasis.

Prognostic Implications of Decorin, E-Cadherin and EGFR Expression in Inflammatory and Non-Inflammatory Canine Mammary Carcinomas

Inflammatory mammary carcinoma (IMC) is the most aggressive variant of invasive mammary tumours in dogs and in women. Decorin is an extracellular matrix molecule whose expression can be reduced or absent in various human cancers, which is associated with a poor prognosis. E-cadherin is a cell adhesion protein whose expression is reduced in several neoplasms. However, it is overexpressed in inflammatory breast cancers of women. EGFR is also associated with cancer development and is commonly overexpressed in aggressive neoplasms. This study aimed to characterise the expressions of Decorin, E-cadherin, and EGFR in canine inflammatory and non-inflammatory mammary carcinomas (IMC and non-IMC) and to evaluate their expression levels as prognostic indicators for survival and occurrence of metastases. Thirty-three IMC and 43 non-IMC cases were analysed retrospectively and submitted to immunohistochemical analysis. The reactions were quantified in five high-power field images from areas of the highest intensity and frequency of immunostaining (hot spots). We found significantly lower expression of Decorin and higher of E-cadherin and EGFR in canine IMCs. Patients with tumours that exhibited Decorin expression in less than 26.35% of epithelial cells had shorter survival (p = 0.0410) and a higher occurrence of distant metastases (p = 0.0115). E-cadherin is overexpressed in canine IMCs (p < 0.0001), similar to what occurs in women, reinforcing that dogs can be used as a study model for human IMC. EGFR overexpression in canine IMCs (p = 0.0322) provides evidence for potential targeted therapy with tyrosine kinase inhibitors.

Brain gliomas new transcriptomic discoveries from differentially expressed genes to therapeutic targets

Gliomas are a prevalent form of primary malignant brain tumor, yet the intricate molecular mechanisms underlying its pathogenesis remain unclear. This study aimed to identify new genetic targets linked to glioma by analyzing microarray datasets to uncover genetic factors involved in its onset and progression. We obtained two independent glioma datasets from the Gene Expression Omnibus database, processed and normalized them using R software, and evaluated the relationship between differentially expressed genes and glioma by differential expression, expression quantitative trait loci, and Mendelian randomization (MR) analyses. Gene set enrichment analysis and immunocytometric analysis further explored the biological functions and pathways of identified genes, which were validated using The Cancer Genome Atlas and Genotype-Tissue Expression datasets. We identified eight co-expressed genes-C1QB, GPX3, LRRC8B, TRIOBP, SNAPC5, SPI1, TSPYL5, and FBXL16-that are crucial in various biological processes. CIBERSORT analysis revealed significant immune cell-type distributions within gliomas, underscoring the significance of immune cell infiltration. Validation in additional datasets confirmed the MR analysis results and upstream regulatory factors were identified using NetworkAnalyst. Our findings offer fresh perspectives on the molecular underpinnings of glioma and highlight potential targets for therapeutic interventions.

Understanding the role of nerves in head and neck cancers - a review

Worldwide, head and neck cancers (HNCs) account for approximately 900,000 cases and 500,000 deaths annually, with their incidence continuing to rise. Carcinogenesis is a complex, multidimensional molecular process leading to cancer development, and in recent years, the role of nerves in the pathogenesis of various malignancies has been increasingly recognized. Thanks to the abundant innervation of the head and neck region, peripheral nervous system has gained considerable interest for its possible role in the development and progression of HNCs. Intratumoral parasympathetic, sympathetic, and sensory nerve fibers are emerging as key players and potential targets for novel anti-cancer and pain-relieving medications in different tumors, including HNCs. This review explores nerve-cancer interactions, including perineural invasion (PNI), cancer-related axonogenesis, neurogenesis, and nerve reprogramming, with an emphasis on their molecular mechanisms, mediators and clinical implications. PNI, an adverse histopathologic feature, has been widely investigated in HNCs. However, its prognostic value remains debated due to inconsistent results when classified dichotomously (present/absent). Emerging evidence suggests that quantitative and qualitative descriptions of PNI may better reflect its clinical usefulness. The review also examines therapies targeting nerve-cancer crosstalk and highlights the influence of HPV status on tumor innervation. By synthesizing current knowledge, challenges, and future perspectives, this review offers insights into the molecular basis of nerve involvement in HNCs and the potential for novel therapeutic approaches.

Cellular Senescence in Hepatocellular Carcinoma: Immune Microenvironment Insights via Machine Learning and In Vitro Experiments

Hepatocellular carcinoma (HCC), a leading liver tumor globally, is influenced by diverse risk factors. Cellular senescence, marked by permanent cell cycle arrest, plays a crucial role in cancer biology, but its markers and roles in the HCC immune microenvironment remain unclear. Three machine learning methods, namely k nearest neighbor (KNN), support vector machine (SVM), and random forest (RF), are utilized to identify eight key HCC cell senescence markers (HCC-CSMs). Consensus clustering revealed molecular subtypes. The single-cell analysis explored the tumor microenvironment, immune checkpoints, and immunotherapy responses. In vitro, RNA interference mediated BIRC5 knockdown, and co-culture experiments assessed its impact. Cellular senescence-related genes predicted HCC survival information better than differential expression genes (DEGs). Eight key HCC-CSMs were identified, which revealed two distinct clusters with different clinical characteristics and mutation patterns. By single-cell RNA-seq data, we investigated the immunological microenvironment and observed that increasing immune cells allow hepatocytes to regain population dominance. This phenomenon may be associated with the HCC-CSMs identified in our study. By combining bulk RNA sequencing and single-cell RNA sequencing data, we identified the key gene BIRC5 and the natural killer (NK) cells that express BIRC5 at the highest levels. BIRC5 knockdown increased NK cell proliferation but reduced function, potentially aiding tumor survival. These findings provide insights into senescence-driven HCC progression and potential therapeutic targets.

High expression of nucleotide-binding oligomerization domain protein 1 correlates with poor prognosis and immune cell infiltration in Glioblastoma Multiforme patients

Nucleotide-binding oligomerization domain protein 1 (NOD1) is one of the innate immune receptors that has been associated with tumorigenesis and abnormally expressed in various cancers. However, the role of NOD1 in Glioblastoma Multiforme (GBM) has not been investigated. We used the Tumor Immune Estimate Resource (TIMER) database to compare the differential expression of NOD1 in various tumors. NOD1 expression in GBM was further validated in the GEO database, and the survival of NOD1 was assessed by the Kaplan-Meier method. Clinical samples were collected to validate NOD1 expression. GSEA was carried out to expound on NOD1-related pathways involved in GBM. NOD1 co-expression and enrichment analysis were performed using the Linked Omics database and R software. The relationship between immune infiltrates and NOD1 expression was assessed by TIMER. Besides, the correlation between NOD1 and immune signatures (immunomodulators and chemokine) was evaluated by TISIDB. We found that NOD1 expression was significantly upregulated in GBM patients, and higher expression of NOD1 was associated with a poor prognosis. GSEA and enrichment analysis revealed that NOD1 might play a vital role in immune response and GBM progression. TIMER analysis showed a positive correlation between NOD1 expression and 17 types of tumor-infiltrating immune cells. Moreover, NOD1 expression was positively correlated with the expression of chemokine and immunomodulators in GBM. Overall, our findings suggest that NOD1 is a promising prognostic biomarker and is associated with immune cell infiltration in GBM, making it a potential diagnostic biomarker for this aggressive brain cancer.

Gboxin Induced Apoptosis and Ferroptosis of Cervical Cancer Cells by Promoting Autophagy-Mediated Inhibition of Nrf2 Signaling Under Low-Glucose Conditions

Cervical cancer poses a substantial threat to women's health, underscoring the necessity for effective therapeutic agents with low toxicity that specifically target cancer cells. As cancer progresses, increased glucose consumption causes glucose scarcity in the tumor microenvironment (TME). Consequently, it is imperative to identify pharmacological agents capable of effectively killing cancer cells under conditions of low glucose availability within the TME. Previous studies showed that Gboxin, a small molecule, inhibited glioblastoma (GBM) growth by targeting ATP synthase without harming normal cells. However, its effects and mechanisms in cervical cancer cells in low-glucose environments are not clear. This study indicates that Gboxin notably enhanced autophagy, apoptosis, and ferroptosis in cervical cells under low-glucose conditions without significantly affecting cell survival under normal conditions. Further analysis revealed that Gboxin inhibited the activity of complex V and the production of ATP, concurrently leading to a reduction in mitochondrial membrane potential and the mtDNA copy number under low-glucose culture conditions. Moreover, Gboxin inhibited tumor growth under nutrient deprivation conditions in vivo. A mechanistic analysis revealed that Gboxin activated the AMPK signaling pathway by targeting mitochondrial complex V. Furthermore, increased AMPK activation subsequently promoted autophagy and reduced p62 protein levels. The decreased levels of p62 protein facilitated the degradation of Nrf2 by regulating the p62-Keap1-Nrf2 axis, thereby diminishing the antioxidant capacity of cervical cancer cells, ultimately leading to the induction of apoptosis and ferroptosis. This study provides a better theoretical basis for exploring Gboxin as a potential drug for cervical cancer treatment.

Copper in the colorectal cancer microenvironment: pioneering a new era of cuproptosis-based therapy

Copper, an essential trace element and biochemical cofactor in humans plays a critical role in maintaining health. Recent studies have identified a significant association between copper levels and the progression and metastasis of cancer. Copper is primarily absorbed in the intestinal tract, often leading to an imbalance of copper ions in the body. Colorectal cancer (CRC), the most common cancer originating in the intestines, thrives in an environment with elevated copper concentrations. Current research is focused on uncovering the relationship between copper and CRC which has introduced new concepts such as cuproplasia and cuproptosis, significantly deepening our understanding of copper's influence on cell proliferation and death. Cuproplasia is a kind of cell proliferation mediated by the co-regulatory activities of enzymes and non-enzymatic factors, while cuproptosis refers to cell death induced by excessive copper, which results in abnormal oligomerization of lipacylated proteins and the reduction of iron-sulfur cluster proteins. Exploring cuproplasia and cuproptosis opens new avenues for treating CRC. This review aims to summarize the critical role of copper in promoting colorectal cancer, the dual effects of copper in the tumor microenvironment (TME), and strategies for leveraging this unique microenvironment to induce cuproptosis in colorectal cancer. Understanding the relationship between copper and CRC holds promise for establishing a theoretical foundation for innovative therapeutic strategies in CRC.

Identifying ADME-related gene signature for immune landscape and prognosis in KIRC by single-cell and spatial transcriptome analysis

Kidney renal clear cell carcinoma (KIRC) is the most prevalent subtype of kidney cancer. Although multiple therapeutic agents have been proven effective in KIRC, their clinical application has been hindered by a lack of reliable biomarkers. This study focused on the prognostic value and function of drug absorption, distribution, metabolism, and excretion- (ADME-) related genes (ARGs) in KIRC to enhance personalized therapy. The critical role of ARGs in KIRC microenvironment was confirmed by single cell RNA-seq analysis and spatial transcriptome sequencing analysis for the first time. Then, an ADME-related prognostic signature (ARPS) was developed by the bulk RNA-seq analysis. The ARPS, created through Cox regression, LASSO, and stepAIC analyses, identified eight ARGs that stratified patients into high-risk and low-risk groups. High-risk patients had significantly poorer overall survival. Multivariate analysis confirmed the independent predictive ability of ARPS, and an ARPS-based nomogram was constructed for clinical application. Gene ontology and KEGG pathway analyses revealed immune-related functions and pathways enriched in these groups, with low-risk patients showing better responses to immunotherapy. Finally, the expression of ARGs was validated by qRT-PCR and Western blotting experiments. These findings underscore the prognostic significance of ARPS in KIRC and its potential application in guiding personalized treatment strategies.

A preliminary investigation of blood cell counts for esophageal cancer screening: differentiating esophageal cancer from gastroesophageal reflux disease

Esophageal Cancer (EC) ranks as the eleventh most prevalent malignancy globally and the seventh leading cause of cancer-related mortality. There is growing evidence to suggest that blood routine parameters have diagnostic and prognostic value in oncology. This study was designed to analyze whether there are any significant differences in complete blood count (CBC) parameters between patients with EC, patients with gastroesophageal reflux disease (GERD), and healthy controls (HC). We retrospectively analyzed selected blood parameters from 209 HC, 209 patients diagnosed with EC, and 198 patients suffering from GERD. We found significant differences in platelet count (PLT), mean platelet volume (MPV), plateletcrit (PCT), platelet distribution width (PDW), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) among the EC, GERD, and HC groups. Of note, PDW and LMR exhibited significant differences specifically between the EC and GERD groups. In conclusion, the LMR holds diagnostic significance and can differentiate patients with EC from those with GERD. The integration of hematological parameters and clinical manifestations serves as a guiding principle for both medical practitioners and patients in determining the necessity for upper gastrointestinal endoscopy, thereby potentially enhancing the early detection rate of EC.

Epigenetic Regulation of Stromal and Immune Cells and Therapeutic Targets in the Tumor Microenvironment

The tumor microenvironment (TME) plays a pivotal role in neoplastic initiation and progression. Epigenetic machinery, governing the expression of core oncogenes and tumor suppressor genes in transformed cells, significantly contributes to tumor development at both primary and distant sites. Recent studies have illuminated how epigenetic mechanisms integrate external cues and downstream signals, altering the phenotype of stromal cells and immune cells. This remolds the area surrounding tumor cells, ultimately fostering an immunosuppressive microenvironment. Therefore, correcting the TME by targeting the epigenetic modifications holds substantial promise for cancer treatment. This review synthesizes recent research that elucidates the impact of specific epigenetic regulations-ranging from DNA methylation to histone modifications and chromatin remodeling-on stromal and immune cells within the TME. Notably, we highlight their functional roles in either promoting or restricting tumor progression. We also discuss the potential applications of epigenetic agents for cancer treatment, envisaging their ability to normalize the ecosystem. This review aims to assist researchers in understanding the dynamic interplay between epigenetics and the TME, paving the way for better epigenetic therapy.

Research progress of nitroxide radical-based MRI contrast agents: from structure design to application

Magnetic resonance imaging (MRI) remains a cornerstone of diagnostic imaging, offering unparalleled insights into anatomical structures and pathological conditions. Gadolinium-based contrast agents have long been the standard in MRI enhancement, yet concerns over nephrogenic systemic fibrosis have spurred interest in metal-free alternatives. Nitroxide radical-based MRI contrast agents (NO-CAs) have emerged as promising candidates, leveraging their biocompatibility and imaging capabilities. This review summaries the latest advancements in NO-CAs, focusing on synthesis methodologies, influencing effects of structures of NO-CAs on relaxation efficiency and their applications across various clinical contexts. Comprehensive discussions encompass small molecular, polymeric, and nano-sized NO-CAs, detailing their unique properties and potential clinical utilities. Despite challenges, NO-CAs represent a dynamic area of research poised to revolutionize MRI diagnostics. This review serves as a critical resource for researchers and practitioners seeking to navigate the evolving landscape of MRI contrast agents.

Peritumoral Fat Content Identified Using Iterative Decomposition of Water and Fat with Echo Asymmetry and Least-squares Estimation (IDEAL) Correlates with Breast Cancer Prognosis

PURPOSE

Adipocytes around aggressive breast cancer (BC) are less lipid different from naive adipocytes (cancer-associated adipocytes, CAAs), and peritumoral edema caused by the release of cytokines from CAAs can conduce to decrease the peritumoral fat proportion. The purpose of this study was to correlate peritumoral fat content identified by using iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) with lymph node metastasis (LNM) and recurrence-free survival (RFS) in BC patients and to compare with T2-weighted (T2WI) and diffusion-weighted images (DWI) analyses.

METHODS

This retrospective study consisted of 85 patients who were diagnosed with invasive carcinoma of breast and underwent breast MRI, including IDEAL before surgery. The scan time of fat fraction (FF) map imaging using IDEAL was 33s. Four regions of interest (ROIs), which are 5 mm from the tumor edge, and one ROI in the mammary fat of the healthy side were set on the FF map. Then average peritumoral FF values (TFF), average FF values on the healthy side (HFF), and peritumoral fat ratio (PTFR, which is defined as TFF/HFF) were calculated. Tumor apparent diffusion coefficient (ADC) values were measured on ADC map obtained by DWI. Peritumoral edema was classified into three grades based on the degree of signal intensity around the tumor on T2WI (T2 edema).

RESULTS

The results of stepwise logistic regression analysis for four variables (TFF, PTFR, T2 edema, and ADC value) indicated that TFF and T2 edema were significant factors of LNM (P < 0.01). RFS was significantly associated with TFF (P = 0.016), and 47 of 49 (95.9%) patients with TFF more than 85.5% were alive without recurrence.

CONCLUSION

Peritumoral fat content identified by using IDEAL is associated with LNM and RFS and may therefore be a useful prognostic biomarker for BC.

Role of microenvironment characteristics and MRI radiomics in the risk stratification of distant metastases in rectal cancer: a diagnostic study

OBJECTIVES

To compare the value of tumor stroma ratio (TSR) and radiomic signature from baseline MRI for stratifying the risk of distant metastases (DM) in patients with locally advanced rectal cancer (LARC).

MATERIALS AND METHODS

Data from 302 patients with LARC who underwent neoadjuvant chemoradiotherapy and total mesorectal excision in our hospital between 2015 and 2018 were retrospectively reviewed, and the patients were randomly allocated into the training and validation cohorts in a ratio of 7:3. Patients were followed-up for more than 3 years postoperatively with metachronous DM as the endpoint. Independent risk factors for DM-free survival (DMFS) were analyzed using Cox regression. The TSR of endoscopic biopsy specimens was scored automatically. Totally 1229 radiomic features of each tumor were extracted from baseline MRI, and the Radscore was calculated.

RESULTS

The median follow-up time was 54.3 (51.6-57.1) months, and the 3-year DMFS was 83.8%. The best cutoff value of the TSR to distinguish a patient's DM risk was 0.477 (Sen=70.8%, Sep=78%, P <0.001). Increased TSR (HR=3.072, P =0.006) and Radscore (HR=719.231, P =0.023), advanced MR-evaluated T stage (HR=2.660, P =0.023) and ypN (HR=2.362, P =0.028) stage were independent risk factors for DMFS. The area under the curve of the combined model was significantly higher than that of the radiomic model ( P =0.013) but without a significant advantage over the TSR model ( P =0.086).

CONCLUSION

TSR of colonoscopic biopsies can independently stratify DM risk in patients with LARC. The TSR model is the most convenient and efficient method for DM risk stratification in LARC.

A Review on Patient-derived 3D Micro Cancer Approach for Drug Screen in Personalized Cancer Medicine

Precision medicine in oncology aims to identify an individualized treatment plan based on genomic alterations in a patient's tumor. It helps to select the most beneficial therapy for an individual patient. As it is now known that no patient's cancer is the same, and therefore, different patients may respond differently to conventional treatments, precision medicine, which replaces the one-size-fits-all approach, supports the development of tailored treatments for specific cancers of different patients. Patient-specific organoid or spheroid models as 3D cell culture models are very promising for predicting resistance to anti-cancer drugs and for identifying the most effective cancer therapy for high-throughput drug screening combined with genomic analysis in personalized medicine. Because tumor spheroids incorporate many features of solid tumors and reflect resistance to drugs and radiation, as in human cancers, they are widely used in drug screening studies. Testing patient-derived 3D cancer spheroids with some anticancer drugs based on information from molecular profiling can reveal the sensitivity of tumor cells to drugs and provide the right compounds to be effective against resistant cells. Given that many patients do not respond to standard treatments, patient-specific treatments will be more effective, less toxic. They will affect survival better compared to the standard approach used for all patients.

Tumor Microenvironment-Responsive Polymer-Based RNA Delivery Systems for Cancer Treatment

Ribonucleic acid (RNA) therapeutics offer a broad prospect in cancer treatment. However, their successful application requires overcoming various physiological barriers to effectively deliver RNAs to the target sites. Currently, a number of RNA delivery systems based on polymeric nanoparticles are developed to overcome these barriers in RNA delivery. This work provides an overview of the existing RNA therapeutics for cancer gene therapy, and particularly summarizes those that are entering the clinical phase. This work then discusses the core features and latest research developments of tumor microenvironment-responsive polymer-based RNA delivery carriers which are designed based on the pathological characteristics of the tumor microenvironment. Finally, this work also proposes opportunities for the transformation of RNA therapies into cancer immunotherapy methods in clinical applications.

A Multisynergistic Strategy for Bone Tumor Treatment: Orchestrating Oxidative Stress and Autophagic Flux Inhibition by Environmental-Response Nanoparticle

Tumor therapy has advanced significantly in recent years, but tumor cells can still evade and survive the treatment through various mechanisms. Notably, tumor cells use autophagy to sustain viability by removing impaired mitochondria and clearing excess reactive oxygen species (ROS). In this study, the aim is to amplify intracellular oxidative stress by inhibiting mitochondrial autophagic flux. Multisynergistic environmental-response nanoparticles (ERNs) are engineered by integrating gold nanoparticles and copper peroxide with borosilicate bioactive glass. The controlled release of copper and inhibition of autophagy flux triggered an overabundance and accumulation of oxidative stress within the tumor cells. This stress triggered immunogenic tumor cell death, believed to initiate a systemic immune response. The tumor microenvironment (TME) transitioned back to a normal physiological state as tumor cells are ablated. ERNs responded to the microenvironment changes by depositing hydroxyapatite on the surface and spontaneously enhancing bone regeneration. This innovative formulation facilitates the functional transition of ERNs from "anti-tumor therapy" to "biomineralization" that kills cancers and induces new bone formation. Overall, it is shown that the ERNs effectively eradicate cancers by utilizing chemodynamic therapy, starvation therapy, and immunotherapy.

Combining anti-checkpoint immunotherapies and cancer vaccines as a novel strategy in oncological therapy: A review

The field of cancer immunotherapy has experienced remarkable advancements in the treatment of human cancers over recent decades. Therapeutic cancer vaccines have been employed to elicit antitumor immune responses through the generation of specific reactions against tumor-associated antigens. Although preclinical studies have demonstrated hopeful results and at least one product is approved for clinical use, the overall efficacy of cancer vaccines remains restricted. The co-administration of anti-checkpoint antibodies alongside cancer vaccines is proposed as a potential strategy to enhance the clinical efficacy of immunotherapies. Among the various anti-checkpoint agents, monoclonal antibodies targeting CD127, OX40, and CD40 have been further investigated in combined administration with cancer vaccines, demonstrating a synergistic impact on disease outcomes in both animal models and human subjects. This combinational approach has been shown to suppress tumor regression, improve survival rates, and promote the efficacy of cancer vaccines via multiple mechanisms, including the augmentation of generation, activation, and expansion of CD8+ T cells, as well as the production of tumor-inhibitory cytokines. Importantly, the impact of the concurrent administration of anti-checkpoint agents and cancer vaccines surpass those observed with the sole vaccine, indicating that this strategy may offer significant advantages for clinical application in cancer patients. In this review, we aim to provide a comprehensive overview of the significance and therapeutic potential of the combined administration of checkpoint agonist/antagonist antibodies and cancer vaccines for human tumors.

Tumor microenvironment in primary central nervous system lymphoma (PCNSL)

Primary central nervous system lymphoma (PCNSL) is one of the rare lymphomas limited to the central nervous system. With the availability of immunotherapy, the tumor microenvironment (TME) attracts much attention nowadays. However, the systematic studies on the TME of PCNSL are lacking. By reviewing the existing research, we found that the TME of PCNSL is infiltrated with abundant TAMs and TILs, among which cytotoxic T cells (CTLs) and M2-polarized macrophages are principal. However, the counts of immune cells infiltrated in the TME of PCNSL are significantly lower than systemic diffuse large B-cell lymphoma (DLBCL). In addition, PCNSL can attract the infiltration of immunosuppressive cells and the loss of HLA I/II expression, overexpress inhibitory immune checkpoints, and release immunosuppressive cytokines to form an immunosuppressive TME. The immunosuppressive effect of TME in PCNSL is significantly stronger than that in systemic DLBCL. These characteristics of TME highlight the immunosuppression of PCNSL.

Inosine Prevents Colorectal Cancer Progression by Inducing M1 Phenotypic Polarization of Macrophages

Inosine (IS) is a naturally occurring metabolite of adenosine with potent immunomodulatory effects. This study investigates the immunomodulatory effects of inosine, particularly its ability to inhibit the development of colorectal cancer (CRC) cells CT26 through modulation of macrophage phenotypes. Aside from the already reported effects of inosine on T cells, in this study, in vitro experiments revealed that inosine could modulate macrophage phenotype. The effects of inosine on the M1/M2 macrophage polarization were investigated at the cellular level. Its role in regulating CRC proliferation and migration was further examined. In addition, a CT26 tumor mouse model was established to assess the mechanism of action of inosine by tumor weight measurement, immunohistochemistry, and immunofluorescence. Inosine significantly increased M1 macrophage markers CD86 and iNOS and enhanced the anti-tumor activity of M1 macrophages, effectively inhibiting CRC progression and metastasis potential. In vivo, inosine had significant tumor inhibitory activity. It also significantly reduced the expression of Ki-67 and promoted the polarization of M1 macrophages.

Identification and Validation of Epithelial Cell Centre Regulatory Transcription Factors in the Gastric Cancer Microenvironment

Purpose

To identify the epithelial cell centre regulatory transcription factors in the gastric cancer (GC) microenvironment and provide a new strategy for the diagnosis and treatment of GC.

Methods

The GC single-cell dataset was downloaded from the Gene Expression Omnibus (GEO) database. The regulatory mechanisms of transcription factors in both pan-cancer and GC microenvironments were analysed using the Cancer Genome Atlas (TGCA) database. Real-time quantitative PCR (RT-qPCR) was used to determine the mRNA expression levels of Prospero homeobox gene 1 (PROX1) and Endothelial PAS domain-containing protein 1 (EPAS1) in the human gastric mucosal normal epithelial cell line (GES-1) and the GC cell line (AGS). Immunohistochemistry (IHC) was used to determine the amounts of PROX1 and EPAS1 protein expression in GC and adjacent tissues. GC patients' overall survival (OS) was tracked through outpatient, Inpatient case inquiry, or phone follow-up.

Results

The single-cell data from GSE184198 was re-annotated, resulting in nine cell subsets: T cells (13364), NK cells (606), B cells (2525), Epithelial cells (2497), DC cells (1167), Fibroblast cells (372), Endothelial cells (271), Neutrophils cells (246) and Macrophage cells (420). Analysis of cell subgroup signalling pathways revealed that communication intensity between epithelial cells and smooth muscle cells was highest. Transcription factors PROX1 and EPAS1 were notably active in epithelial cells. Cell communication analysis indicated that IFNG may interact with IFNGR1/2 and LIF with IL6ST and LIFR to regulate the downstream PROX1 and EPAS1. PROX1 and EPAS1 were upregulated and negatively correlated with tumour mutation burden (TMB). They also exhibited high positive correlations with immune checkpoints CTLA4 and PDCD1LG2, as well as with chemokines CCL24 and CXCL12 and their receptors CCR3 and CCR4. Additionally, PROX1 and EPAS1 were positively correlated with immunosuppressive factors ADORA2A, CD160, IL10, TGFBR1, KDR and CSF1R, as well as with immunostimulators CD276, PVR, TNFRSF25, ULBP1, CXCL12 and ENTPD1. In GC tissues and AGS, PROX1 and EPAS1 were both substantially expressed. In the meantime, they showed a positive correlation with clinicopathological features such TNM stage and degree of differentiation. In GC patients, the up-regulated group's PROX1 and EPAS1 prognosis was noticeably poorer than the down-regulated group's.

Conclusion

PROX1 and EPAS1 are likely central regulatory transcription factors in the epithelial cells of the GC environment, regulated by IFNG and LIF. They may contribute to GC progression by modulating the tumour's immune microenvironment.

Nanotechnology for the Diagnosis and Treatment of Liver Cancer

Liver cancer has become a major global health challenge due to its high incidence, high rate of late diagnosis and limited treatment options. Although there are many clinical treatments available for liver cancer, the cure rate is still very low, and now researchers have begun to explore new aspects of liver cancer treatment, and nanotechnology has shown great potential for improving diagnostic accuracy and therapeutic efficacy and is therefore a promising treatment option. In diagnosis, nanomaterials such as gold nanoparticles, magnetic nanoparticles, and silver nanoparticles can realize highly sensitive and specific detection of liver cancer biomarkers, supporting diagnosis and real-time monitoring of the disease process. In terms of treatment, nanocarriers can realize precise targeted delivery of drugs, improve the bioavailability of liver cancer therapeutic drugs and reduce systemic toxic side effects. In addition, advanced technologies such as nanoparticle-based photothermal therapy and photodynamic therapy provide innovative solutions to overcome drug resistance and local tumor ablation. Therefore, in this paper, we will introduce nanotechnology for hepatocellular carcinoma in terms of tumor marker detection, targeted drug delivery, and synergistic PDT/CDT therapy.

Impact of pan-cancer analysis of the exportins family on prognosis, the tumor microenvironment and its potential therapeutic efficacy

This study aims to comprehensively analyze the role of the exportin (XPO) family in the development and progression of cancer. These nuclear transport proteins have been increasingly recognized for their involvement in oncogenic processes and tumor growth. We utilized updated public databases and bioinformatics tools to assess the expression levels of the XPO family and their associations with key oncological markers including patient survival, immune subtypes, tumor microenvironment, stemness scores, drug sensitivity, and DNA methylation across various cancers. Expression levels of XPO family proteins varied significantly across different cancer types, indicating cancer-specific roles. Specific XPO proteins were linked to adverse prognosis in particular cancers. Additionally, expression levels were correlated with classifications of immune subtypes and tumor purity; notably, lower expression levels were often found in tumors with elevated stromal and immune scores. A marked correlation was observed between XPO proteins and RNA stemness scores, whereas the correlation with DNA stemness scores varied. Furthermore, XPO expression levels significantly influenced cancer cell drug sensitivity and generally showed correlations with gene methylation patterns, although these correlations differed among cancer types. Our findings underscore the distinct roles of XPO family members in cancer, linking them to immune infiltration, the tumor microenvironment, and drug sensitivity. These insights not only enhance our understanding of the prognostic and therapeutic potentials of XPO proteins in cancer but also lay the groundwork for further studies into their mechanisms and applications in cancer diagnosis and treatment.

Biogenesis and functional implications of extracellular vesicles in cancer metastasis

Extracellular vesicles (EVs) play a crucial role in the complex process of cancer metastasis by facilitating cellular communication and influencing the microenvironment to promote the spread and establishment of cancer cells in distant locations. This paper explores the process of EV biogenesis, explaining their various sources that range from endosomal compartments to plasma membrane shedding. It also discusses the complex mechanisms that control the sorting of cargo within EVs, determining their chemical makeup. We investigate the several functions of EVs in promoting the spread of cancer to other parts of the body. These functions include influencing the immune system, creating environments that support the formation of metastases before they occur, and aiding in the transformation of cells from an epithelial to a mesenchymal state. Moreover, we explore the practical consequences of EV cargo, such as nucleic acids, proteins, and lipids, in influencing the spread of cancer cells, from the beginning of invasion to the creation of secondary tumor sites. Examining recent progress in the field of EV-based diagnostics and treatments, we explore the potential of EVs as highly promising biomarkers for predicting the course of cancer and as targets for therapeutic intervention. This review aims to provide a complete understanding of the biology of EVs in the context of cancer metastasis. By unravelling the nuances of EV biology, it seeks to pave the way for new tactics in cancer detection, treatment, and management.

N6-methyladenosine RNA methylation, a new hallmark of metabolic reprogramming in the immune microenvironment

N6-methyladenosine is one of the most common and reversible post-transcriptional modifications in eukaryotes, and it is involved in alternative splicing and RNA transcription, degradation, and translation. It is well known that cancer cells acquire energy through metabolic reprogramming to exhibit various biological behaviors. Moreover, numerous studies have demonstrated that m6A induces cancer metabolic reprogramming by regulating the expression of core metabolic genes or by activating metabolic signaling pathways. Meanwhile, m6A modifications and related regulators are key targets in the regulation of immune effects. We further summarize how m6A modifications contribute to tumor metabolism, and how these events affect the tumor immune microenvironment, with a specific focus on different cell types. Finally, we focus on the specific applications of this field to tumor immunotherapy. We review the potential role of m6A in metabolic reprogramming of tumor immune microenvironment and its regulatory mechanism, with the aim of providing new targets for tumor metabolic regulation and immunotherapy.

[TIM3+CD8+ T Cell Expression and Clinical Significance in the Central and Non-central Tumor Microenvironment of Non-small Cell Lung Cancer]

BACKGROUND

One of the most important treatment modalities for non-small cell lung cancer (NSCLC) is immune checkpoint inhibitor. Nevertheless, a small percentage of patients do not respond well to these therapies, highlighting the significance of identifying important CD8+ T cell subsets for immunotherapy and creating trustworthy biomarkers. The purpose of this study is to assess the potential utility of TIM3+CD8+ T cells as new biomarkers by examining their expressions in various areas of the NSCLC tumor microenvironment.

METHODS

Based on biopsy techniques, tumor tissue samples were obtained from patients with NSCLC and categorized into tumor central and non-central regions. Using flow cytometry, the infiltration of TIM3+CD8+ T cells and the surface expression of programmed cell death 1 (PD-1) on these cells were examined, and their correlations with the effectiveness of immunotherapy were assessed.

RESULTS

The non-central region of tumor tissues had considerably larger infiltration of TIM3+CD8+ T lymphocytes compared to the non-central region (P<0.0001). This pattern was found in both subgroups with tumor diameters ≥3 cm or <3 cm (P<0.01). In comparison to TIM3-CD8+ T cells, TIM3+CD8+ T cells showed higher levels of PD-1 (P<0.001), with more PD-1+TIM3+CD8+ T cells invading the non-central region (P<0.01). Clinical responders to immunotherapy had considerably lower infiltration levels of TIM3+CD8+ T cells in the tumor non-central region compared to non-responders, with lower levels correlated with better clinical outcomes (P<0.01), while no correlation was identified in the tumor central region (P>0.05). According to reciever operating characteristic (ROC) curve analysis, TIM3+CD8+ T cells in the tumor non-central region had an area under the curve (AUC) of 0.9375 for predicting the effectiveness of immunotherapy, which was considerably higher than that of TIM3+CD8+ T cells in the tumor central region and programmed cell death ligand 1 (PD-L1) [tumor proportion score (TPS)].

CONCLUSIONS

In the tumor microenvironment of NSCLC, TIM3+CD8+ T cells show regional distribution patterns. The expression of this cell population in the non-central region of the tumor microenvironment may be a biomarker for predicting the effectiveness of immunotherapy.

C3+ cancer-associated fibroblasts promote tumor growth and therapeutic resistance in gastric cancer via activation of the NF-κB signaling pathway

BACKGROUND

Gastric cancer (GC) remains one of the most lethal malignancies globally, with limited therapeutic options. Cancer-associated fibroblasts (CAFs), a diverse population of stromal cells within the tumor microenvironment (TME), play a central role in tumor progression and therapeutic resistance. However, the specific markers identifying tumor-promoting CAF subsets in GC have yet to be fully characterized.

METHODS

Through animal studies and RNA sequencing, complement C3 (C3) emerged as a key marker linked to tumor-promoting CAF subsets. Single-cell sequencing and multiplex immunofluorescence staining confirmed that C3 expression is predominantly localized within CAFs. Independent cohort analyses demonstrated a strong association between elevated levels of C3+ CAFs and poor clinical outcomes in GC patients. To further investigate, small interfering RNA (siRNA)-mediated knockdown of C3 in CAFs was employed in vitro, with subsequent experiments, including cell migration assays, cell viability assays, and immunofluorescence, revealing significant functional impacts.

RESULTS

C3 secreted by CAFs promoted Epithelial-mesenchymal transition (EMT) and accelerated cancer cell migration. Patients with minimal C3+ CAF infiltration exhibited a higher probability of deriving therapeutic benefit from adjuvant treatments. Furthermore, C3+ CAFs were associated with immunosuppressive effects and an immune-evasive microenvironment marked by CD8 + T cell dysfunction. A lower prevalence of C3+ CAFs correlated with improved responsiveness to immunotherapy in GC patients. Enrichment analysis highlighted pronounced activation of the NF-κB signaling pathway in C3+ CAFs relative to their C3- counterparts, supported by elevated phosphorylation levels of IKK, IκBα, and p65 in C3+ CAFs compared to both C3- CAFs and normal fibroblasts (NFs). Silencing p65 nuclear translocation in CAFs through siRNA significantly suppressed C3 secretion.

CONCLUSIONS

The study suggests that NF-κB pathway-mediated CAF activation enhances C3 secretion, driving EMT, migration, chemoresistance, and immune evasion in GC progression. Targeting the NF-κB/C3 signaling axis in CAFs may offer a viable therapeutic strategy for GC management.

Annexin A2: the feasibility of being a therapeutic target associated with cancer metastasis and drug resistance in cancer microenvironment

At present, there is still a lack of effective treatment strategies for cancer metastasis and drug resistance, so finding effective biomarkers is particularly important. AnnexinA2 (ANXA2), a vital membrane protein, critically influences cancer progression, tumor invasion, and tumor microenvironment modulation. To assess the possible application of ANXA2 as a therapeutic target against cancer cell metastasis and drug resistance to chemotherapeutic drugs in the tumor microenvironment, we elucidated the functionality of ANXA2 in stromal cells, angiogenic vascular cells, and infiltrated immune cells that mediate metastasis and drug resistance, as well as its potential as a therapeutic target. ANXA2 shows a high expression level in many tissues, and its expression level is even higher in several tumors and their microenvironments. ANXA2 is a crucial regulator of many factors and may serve as a target against drug-resistant cancers.

ZFP36L2 Is a Potential Prognostic Marker of IL1β+ Osteosarcoma

Background: Osteosarcoma stands as the predominant bone malignancy afflicting children and young adults. Despite strides in treatment, the enduring reality is that the long-term survival rates for patients grappling with recurrences and metastases linger at a mere 30%. This underscores the pressing demand for novel prognostic markers and therapeutic avenues to improve outcomes and offer hope to those battling this formidable disease. ZFP36L2, a member of the tristetraprolin family of CCCH zinc finger proteins, stands out for its pivotal role in posttranscriptional modifications and its ability to modify tumor microenvironments. Methods: We obtained RNA-seq data from TCGA and GTEx cohorts to investigate the expression of ZFP36L2 in tumor and normal tissues. We also utilized GO/KEGG analysis and immune infiltration analysis to verify the relationship between ZFP36L2 and immune cells. A Kaplan-Meier survival curve was used to study the relationship between ZFP36L2 and IL1β in osteosarcoma. Single-cell data analysis and cell-cell communication analysis were used to discover the therapeutic potential of ZFP36L2 in osteosarcoma. Results: This study elucidates the specific expression pattern of ZFP36L2 in tumors. ZFP36L2 is associated with metastasis in sarcoma, but has no statistically significant correlation with survival rate. ZFP36L2 has been shown to be associated with T cells and macrophages in the tumor microenvironment through GO/KEGG analysis and immune infiltration analysis. The survival analysis results show that ZFP36L2 can serve as a biomarker in IL1β+ osteosarcoma. Single-cell sequencing analysis shows that ZFP36L2 is present in IL1β+ macrophages. Cell-cell communication analysis indicates that ZFP36L2 targets TNF in IL1β+ osteosarcoma, thereby improving prognosis. Conclusions: ZFP36L2 has potential as a prognostic marker in IL1β+ osteosarcoma patients.

Role of exosomes in modulating non-small cell lung cancer radiosensitivity

Non-small cell lung cancer (NSCLC) constitutes a significant proportion of lung cancer cases, and despite advancements in treatment modalities, radiotherapy resistance remains a substantial hurdle in effective cancer management. Exosomes, which are small vesicles secreted by cells, have emerged as pivotal players in intercellular communication and influence various biological processes, including cancer progression and the response to therapy. This review discusses the intricate role of exosomes in the modulation of NSCLC radiosensitivity. The paper focuses on NSCLC and highlights how tumor-derived exosomes contribute to radioresistance by enhancing DNA repair, modulating immune responses, and altering the tumor microenvironment. We further explore the potential of mesenchymal stem cell-derived exosomes to overcome radiotherapy resistance and their potential as biomarkers for predicting therapeutic outcomes. Understanding the mechanisms by which exosomes affect radiotherapy can provide new avenues for enhancing treatment efficacy and improving the survival rates of patients with NSCLC.

Monovalent and Divalent Designs of Copper Radiotheranostics Targeting Fibroblast Activation Protein in Cancer

Background: Fibroblast activation protein (FAP)-targeted theranostic radiopharmaceuticals have shown desired tumor-to-background organ selectivity due to the ubiquitous presence of FAP within the tumor microenvironment. However, suboptimal tumor retention and fast clearance have hindered their use to deliver effective cancer therapies. With well-documented FAP-targeting moieties and linkers appending them to optimal chelators, the development of copper radiopharmaceuticals has attracted considerable interest, given the fact that an ideal theranostic pair of copper radionuclides (64Cu: t1/2 = 12.7 h; 17.4% β+; Eβ+max = 653 keV and 67Cu: t1/2 = 2.58 d; 100% β-; Eβ-max = 562 keV) are available. Herein, we report our design, synthesis, and comparative evaluation of monovalent and divalent FAP-targeted theranostic conjugates constructed from our previously reported bifunctional chelator scaffold (BFS) based on 1,4,8,11-tetraaza-bicyclo [6.6.2]hexadecane-4,11-diacetic acid (CB-TE2A), which forms the most stable complex with Cu(II). Methods: After synthesis and characterization, the monovalent and divalent conjugates were radiolabeled with 64Cu for in vitro cell assays, followed by in vivo positron emission tomography (PET) imaging evaluation in relevant mouse models. Results: Both 64Cu-labeled conjugates showed high in vitro stability and anticipated FAP-mediated cell binding and internalization. The divalent one showed significantly higher FAP-specific tumor uptake than its monovalent counterpart. Conclusions: Our results demonstrate that the BFS-based multivalent approach can be practically used to generate FAP-targeted radiotheranostic agents for effective cancer diagnosis and treatment.

Hydrogel systems for spatiotemporal controlled delivery of immunomodulators: engineering the tumor immune microenvironment for enhanced cancer immunotherapy

Tumor immunotherapy, modulating innate and adaptive immunity, has become an important therapeutic strategy. However, the tumor immune microenvironment's (TIME) complexity and heterogeneity challenge tumor immunotherapy. Hydrogel is a hydrophilic three-dimensional (3D) mesh structure with good biocompatibility and drug release control, which is widely used in drug delivery, agriculture, industry, etc. Hydrogels loaded with immune cells, cytokines, immune checkpoint inhibitors, and anti-tumor drugs can achieve targeted delivery and ultimately activate the immune response in the TIME. In this review, we will summarize the components of the TIME and their immune effects, the emerging immunomodulatory agents, the characteristics and functions of hydrogels, and how hydrogels regulate innate and adaptive immune cells in the TIME.

Technologies for Targeted RNA Degradation and Induced RNA Decay

The vast majority of the human genome codes for RNA, but RNA-targeting therapeutics account for a small fraction of approved drugs. As such, there is great incentive to improve old and develop new approaches to RNA targeting. For many RNA targeting modalities, just binding is not sufficient to exert a therapeutic effect; thus, targeted RNA degradation and induced decay emerged as powerful approaches with a pronounced biological effect. This review covers the origins and advanced use cases of targeted RNA degrader technologies grouped by the nature of the targeting modality as well as by the mode of degradation. It covers both well-established methods and clinically successful platforms such as RNA interference, as well as emerging approaches such as recruitment of RNA quality control machinery, CRISPR, and direct targeted RNA degradation. We also share our thoughts on the biggest hurdles in this field, as well as possible ways to overcome them.

The role of tumor microenvironment and self-organization in cancer progression: Key insights for therapeutic development

Introduction

The tumor microenvironment (TME) plays a pivotal role in cancer progression, influencing tumor initiation, growth, invasion, metastasis, and response to therapies. This study explores the dynamic interactions within the TME, particularly focusing on self-organization-a process by which tumor cells and their microenvironment reciprocally shape one another, leading to cancer progression and resistance. Understanding these interactions can reveal new prognostic markers and therapeutic targets within the TME, such as extracellular matrix (ECM) components, immune cells, and cytokine signaling pathways.

Methods

A comprehensive search method was employed to investigate the current academic literature on TME, particularly focusing on self-organization in the context of cancer progression and resistance across the PubMed, Google Scholar, and Science Direct databases.

Results

Recent studies suggest that therapies that disrupt TME self-organization could improve patient outcomes by defeating drug resistance and increasing the effectiveness of conventional therapy. Additionally, this research highlights the essential of understanding the biophysical properties of the TME, like cytoskeletal alterations, in the development of more effective malignancy therapy.

Conclusion

This review indicated that targeting the ECM and immune cells within the TME can improve therapy effectiveness. Also, by focusing on TME self-organization, we can recognize new therapeutic plans to defeat drug resistance.

Extracellular nicotinamide phosphoribosyltransferase visfatin activates JAK2-STAT3 pathway in cancer-associated fibroblasts to promote colorectal cancer metastasis

BACKGROUND

Metastasis is one of the major challenges in the treatment of colorectal cancer (CRC), during which cancer-associated fibroblasts (CAFs) in the tumor microenvironment are critically involved.

OBJECTIVE

In this study, we aim to explore the regulatory role of extracellular nicotinamide phosphoribosyltransferase Visfatin and its impact on CRC metastasis.

METHODS

To examine the effect of visfatin on CAFs, human CRC tissue-derived CAFs were exposed to visfatin, and the expression of inflammatory factors, activation of JAK-STAT pathway and production of ROS in CAFs were assessed. To examine the effect of visfatin-treated CAFs on CRC metastasis, human CRC cell line SW480 or SW620 were cultured with the conditioned medium derived from visfatin-treated CAFs, and the invasion and migration ability of SW480 or SW620 cells were evaluated by transwell migration and matrigel invasion assays.

RESULTS

Our previous study found that visfatin, a secreted form of nicotinamide phosphoribosyltransferase that governs the rate-limiting step of NAD synthesis, promoted CRC metastasis. However, little is known about the effect of visfatin on CAFs. The conditioned medium derived from visfatin- treated CAFs promotes the migratory and invasive capability of CRC cells, and enhance lung metastasis in mouse model. Visfatin treatment stimulated the expression of a couple of inflammatory factors in CAFs, which was mediated by visfatin-induced activation of JAK- STAT pathway and accumulation of ROS. Inhibition of JAK-STAT pathway or neutralization of cellular ROS attenuated visfatin-mediated migration and invasion of CRC cells.

CONCLUSIONS

The present work highlights a critical role of visfatin in the crosstalk between CRC cells and CAFs, which moonlight as a non-metabolic extracellular signal molecule to hijacks JAK-STAT pathway in CAFs to promote CRC metastasis.