Stages Of Tumor Progression Research Articles

Mathematical models of intercellular signaling in breast cancer.

The development and regulation of healthy and cancerous breast tissue is guided by communication between cells. Diverse signals are exchanged between cancer cells and non-cancerous cells of the tumor microenvironment (TME), influencing all stages of tumor progression. Mathematical models are essential for understanding how this complex network determines cancer progression and the effectiveness of treatment. We reviewed the current dynamical mathematical models of intercellular signaling in breast cancer, examining models with cancer cells only, fibroblasts, endothelial cells, macrophages and the immune system as whole. We categorized the goals and complexity of these models, to highlight how they can explain many features of cancer emergence and progression. We found that dynamical models of intercellular signaling can elucidate tissue-level dysregulation in cancer by explaining: i) maintenance of non-heritable intratumor phenotypic heterogeneity, ii) transitions between tumor dormancy and accelerated invasive growth, iii) stromal support of tumor vascularization and growth factor enrichment and iv) suppression of immune infiltration and cancer surveillance. These models also provide a framework to propose novel TME-targeting treatment strategies. However, most models were focused on a highly selected and small set of signaling interactions between a few cell types, and their translational applicability were severely limited by the availability of tumor-specific data for personalized model calibration. Mathematical models of breast cancer have many challenges and opportunities to incorporate signaling. The four key challenges are: 1) finding ways to treat signaling networks as a context-dependent language that incorporates non-linear and non-additive responses, 2) identifying the key cell phenotypes that signals control and understanding the feedbacks between signals and phenotype that determine the progression of cancer, (3) estimating parameters of specific patient tumors early in treatment, 4) linking models with novel data collection methods that have single cell and spatial resolution. As our approaches advance, it is our hope that dynamical mathematical models of inter-cellular signaling can play a central role in identifying and testing new treatment strategies as well as forecasting impacts of disease treatment.

Machine learning and multi-omics characterization of SLC2A1 as a prognostic factor in hepatocellular carcinoma: SLC2A1 is a prognostic factor in HCC.

Hepatocellular carcinoma (HCC) is characterized by high incidence, significant mortality, and marked heterogeneity, making accurate molecular subtyping essential for effective treatment. Using multi-omics data from HCC patients, we applied diverse clustering algorithms to identify three HCC subtypes (HSs) with distinct prognostic characteristics. Among these, HS1 emerged as an immune-compromised subtype associated with the poorest prognosis. Additionally, we developed a novel, robust, and highly accurate machine learning-guided prognostic signature (MLPS) by integrating multiple machine learning algorithms and their combinations. Our study also identified SLC2A1, the core gene of MLPS, as being highly expressed during advanced stages of tumor progression. Knockdown experiments demonstrated that reducing SLC2A1 expression significantly suppressed the malignant behavior of HCC cells. Furthermore, SLC2A1 expression was linked to responsiveness to dasatinib and vincristine, suggesting potential therapeutic relevance. MLPS and SLC2A1 offer promising tools for individualized prognosis prediction and targeted therapy in HCC, providing new opportunities to improve patient outcomes.

Pathophysiology of tumor progression and possibilities of using polarization biomedical optics methods in the diagnosis of papillary thyroid cancer

Background. Clinical diagnosis of papillary thyroid cancer usually occurs at the stage of tumor progression accompanied by intensive processes of growth, invasion, formation of blood vessels to provide blood supply to the tumor, the structure and quantitative changes of which can be more informatively accurately assessed by polarization biomedical optics. The purpose of the study was to substantiate the possibility of using polarization biomedical optics methods in the diagnosis of papillary thyroid cancer based on the principles of comprehensiveness and integrated pathophysiology. Materials and methods. Two groups of patients were stu­died: the control group — healthy donors (n = 51), the experimental group — patients with papillary thyroid cancer (n = 51) who underwent a puncture biopsy of the thyroid gland for diagnostic purposes using the fundamental idea of polarization biomedical optics with two analytical approaches — statistical and topographic (multifractal). Instrumental laser methods were used: polarization, interference, digital holographic. The statistical parameters of polarization azimuth maps, polarization azimuth of phase and multifractal spectra of digital microscopic images of native histological sections of thyroid biopsy from patients with papillary cancer were quantitatively evaluated with the determination of average, dispersion, asymmetry and excess. The significance of differences compared to the control, taken as 100 % was assessed using the Student’s parametric test (p < 0.05). Results. A signi­ficant increase in the asymmetry and excess of the polarization azimuth, a significant inhibition of the average polarization azimuth of phase digital microscopic images of native histological sections of thyroid biopsy from patients with papillary cancer, a significant increase in the asymmetry and excess of phase digital microscopic images of native histological sections of thyroid biopsy from patients with papillary cancer were revealed. A significant increase in dispersion and a probable decrease in the asymmetry and excess of multifractal spectra of polarization azimuth maps of digital microscopic images of native histological sections of thyroid biopsy in patients with papillary cancer were shown. Conclusions. A significant increase in the biophysi­cal optical parameters of digital microscopic images of native histological sections of thyroid biopsy of patients with papillary cancer was found due to increased growth of connective tissue around transformed T thyrocytes and blood vessels to provide their nutrition. A probable inhibition of the average azimuth of polarization of phase digital microscopic images of native histological sections of thyroid biopsy of patients with papillary cancer and a probable decrease in the asymmetry and excess of multifractal spectra of polarization azimuth maps of digital microscopic images of native histological sections of thyroid biopsy of patients with papillary cancer are caused by papillary proliferation of transformed T thyrocytes as an amorphous component in patients with papillary cancer as a result of activation of tumor progression with intensive processes of growth, invasion, and formation of blood vessels to provide blood supply to the tumor.

Extracellular vesicles-a new player in the development of urinary bladder cancer.

Bladder cancer was the 10th most commonly diagnosed cancer worldwide in 2020. Extracellular vesicles (EVs) are nano-sized membranous structures secreted by all types of cells into the extracellular space. EVs can transport proteins, lipids, or nucleic acids to specific target cells. What brings more attention and potential implications is the fact that cancer cells secrete more EVs than non-malignant cells. EVs are widely studied for their role in cancer development. This publication summarizes the impact of EVs secreted by urinary bladder cancer cells on urinary bladder cancer development and metastasis. EVs isolated from urinary bladder cancer cells affect other lower-grade cancer cells or normal cells by inducing different metabolic pathways (transforming growth factor β/Smads pathway; phosphoinositide 3-kinase/Akt pathway) that promote epithelial-mesenchymal transition. The cargo carried by EVs can also induce angiogenesis, another critical element in the development of bladder cancer, and modulate the immune system response in a tumor-beneficial manner. In summary, the transfer of substances produced by tumor cells via EVs to the environment influences many stages of tumor progression. An in-depth understanding of the role EVs play in the development of urinary bladder cancer is crucial for the development of future anticancer therapies.

γδ T Cell-mediated Tumor Immunity is Tightly Regulated by STING and TGF-β Signaling Pathways.

The STING pathway plays a critical role in tumor immunosurveillance. However, the precise mechanisms by which STING regulates gammadelta(γδ) T cell function during tumor progression remain unclear. Herein, we find that tumor-derived cyclic GMP-AMP (cGAMP) activates a distinct STING pathway by inducing TBK1-mediated phosphorylation of Eomes in γδ T cells during the early stage of tumor development is demonstrated. This activation leads to interferon-gamma (IFN-γ) production and consequent tumor surveillance. However, at advanced stages of tumor progression, the accumulation of immune-suppressive cytokine transforming growth factor-beta (TGF-β) downregulates STING levels, compromising the function of γδ T cells. Notably, the synergism between TGF-β inhibition and STING agonists effectively counteracts the immunosuppressive tumor microenvironment, thereby augmenting the antitumoral effects of γδ T cells. These findings present a novel mechanism involving STING-mediated IFN-γ production in γδ T cells and hold significant implications for the development of potent immunotherapeutic approaches against cancer.

Polarization biomedical optics methods in the diagnosis of papillary thyroid carcinoma

Clinical diagnosis of papillary thyroid carcinoma (PTC) usually occurs at the stage of tumor progression, accompanied by intensive processes of growth, invasion, formation of blood vessels to provide blood supply to the tumor, the structure and quantitative changes of which can be more informatively accurately assessed by polarization biomedical optics. Objective — to substantiate the possibility of using polarization biomedical optics methods in the diagnosis of PTC based on the principles of integrative and integrated pathophysiology. Materials and methods. Two groups of patients were studied: the control group — healthy donors (51 patients), the experimental group — patients with PTC (51 patients), who underwent a thyroid fine needle aspiration biopsy for diagnostic purposes using the fundamental idea of polarization biomedical optics with two analytical approaches — statistical and topographic (multifractal). Instrumental laser methods were used: polarization, interference, digital holographic. The statistical parameters of polarization azimuth maps, polarization azimuth of phase and multifractal spectra of digital microscopic images of native histological sections of thyroid biopsy of patients with papillary cancer were quantitatively evaluated with the determination of: Average, Dispersion, Asymmetry and Excess. The significance of differences compared to the control, taken as 100%, was evaluated using the Student’s parametric test (p<0.05). Results. A significant increase in the asymmetry and excess of the polarization azimuth, a significant inhibition of the average polarization azimuth of phase digital microscopic images of native histological sections of thyroid biopsy of patients with PTC, a significant increase in the asymmetry and excess s of phase digital microscopic images of native histological sections of thyroid biopsy were revealed. A significant increase in dispersion and a probable decrease in the asymmetry and excess of multifractal spectra of polarization azimuth maps of digital microscopic images of native histological sections of thyroid biopsy of patients with PTC were shown. Conclusions. Significant inhibition of the average azimuth of polarization of phase digital microscopic images of native histological sections of thyroid biopsy of patients with papillary cancer and significant decrease in the asymmetry and excess of multifractal spectra of polarization azimuth maps of digital microscopic images of native histological sections of thyroid biopsy of patients with papillary cancer are caused by papillary proliferation of transformed thyrocytes, as an amorphous component, in patients with papillary cancer as a result of activation of tumor progression with intensive processes of growth, invasion, and formation of blood vessels to provide blood supply to the tumor.

Gamma-delta T Cells in Bladder Cancer Draining Lymph Nodes.

Gamma-delta (γδ) T cells are a distinct subset of T cells with a receptor composed of γ and δ chains. Their ability to directly recognize stress-induced molecules and non-peptide antigens expressed by cancer cells, along with their capacity to produce cytokines and interact with other immune cells, makes them potentially significant contributors to immune-based treatments. To investigate the presence and frequency of Tγδ cells in tumor-draining lymph nodes of patients with bladder cancer (BC), and to assess their association with prognostic parameters. Forty-nine fresh tumor-draining lymph nodes from untreated patients with BC were minced to obtain single cells. The cells were surface-stained with anti-CD3, anti-TCRγδ, and anti-HLA-DR antibodies, then acquired on a four-color FACSCalibur flow cytometer, and analyzed by FlowJo software. On average, 2.07% ± 1.99% of CD3+ lymphocytes in regional nodes of BC exhibited a γδ T phenotype. A considerable percentage of these cells (37.90% ± 24.42%) expressed HLA-DR. Statistical analysis revealed that while the frequency of γδ T cells showed no variation among patients with different prognoses, the HLA-DR+ subset was higher in T4 patients than in T2 patients (p=0.031). These cells also tended to be increased in stage III compared to stage II (p=0.077). The data collectively indicated an association of HLA-DR expressing γδ T cells with prognostic factors related to tumor progression (higher T-group and stage), suggesting their potential involvement in disease progression. However, future research, including longitudinal studies with larger cohorts, needs to validate these findings and elucidate the functional roles of γδ T cells in the immune response against BC.

Integrative analysis of single-cell transcriptomic and multilayer signaling networks in glioma reveal tumor progression stage.

Tumor microenvironments (TMEs) encompass complex ecosystems of cancer cells, infiltrating immune cells, and diverse cell types. Intercellular and intracellular signals within the TME significantly influence cancer progression and therapeutic outcomes. Although computational tools are available to study TME interactions, explicitly modeling tumor progression across different cancer types remains a challenge. This study introduces a comprehensive framework utilizing single-cell RNA sequencing (scRNA-seq) data within a multilayer network model, designed to investigate molecular changes across glioma progression stages. The heterogeneous, multilayered network model replicates the hierarchical structure of biological systems, from genetic building blocks to cellular functions and phenotypic manifestations. Applying this framework to glioma scRNA-seq data allowed complex network analysis of different cancer stages, revealing significant ligand‒receptor interactions and key ligand‒receptor-transcription factor (TF) axes, along with their associated biological pathways. Differential network analysis between grade III and grade IV glioma highlighted the most critical nodes and edges involved in interaction rewiring. Pathway enrichment analysis identified four essential genes-PDGFA (ligand), PDGFRA (receptor), CREB1 (TF), and PLAT (target gene)-involved in the Receptor Tyrosine Kinases (RTK) signaling pathway, which plays a pivotal role in glioma progression from grade III to grade IV. These genes emerged as significant features for machine learning in predicting glioma progression stages, achieving 87% accuracy and 93% AUC in a 3-year survival prediction through Kaplan-Meier analysis. This framework provides deeper insights into the cellular machinery of glioma, revealing key molecular relationships that may inform prognosis and therapeutic strategies.

Histopathological Correlation Between High Endothelial Venule Neogenesis and the Tumor Microenvironment in Lung Adenocarcinoma.

The dynamic interplay between cancer cells and the microenvironment involves a wide range of intricate relationships that evolve during different stages of tumor progression. Recent attention has focused on high endothelial venules (HEVs), specialized endothelial cells in tumors with a unique cuboidal shape similar to those in lymph nodes. Previous animal studies have shown that normalization of tumor angiogenesis through anti-VEGFR2 therapy promotes HEV formation. However, few reports exist regarding the relationship between HEVs and preexisting blood vessels or interstitial fibers. In this study, we histologically examined whether tumor vascular structure correlates with HEV neogenesis. A total of 109 patients with pathological stage I lung adenocarcinoma who had undergone curative lung resection at our Institute between 2012 and 2016 were included. HEVs were identified by anti-peripheral node addressin (PNAd) staining. Immunostaining and Elastica-Masson-Goldner staining were performed on tumor sections and quantified. PNAd-positive cells were identified in 102 (93.6%) patients. Nearly all PNAd-positive cells were located within or near immune cell clusters. We investigated the correlation between microvessel structures or interstitial fibers and the number/density of PNAd-positive vessels, but no significant correlation was found. Since PNAd-positive cells were concentrated in immune cell aggregates, we focused our analysis specifically on these regions. Immune cell aggregates with abundant PNAd-positive vessels had a greater microvessel density along with by rich collagen fiber production, and displayed a more mature morphological phenotype of HEVs. The generation of PNAd-positive cells in tumors is governed by an angiogenetic mechanism distinct from that of broader tumor microenvironment. Furthermore, the accumulation of immune cells is associated with increased HEV maturation.

Spatiotemporal lineage tracing reveals the dynamic spatial architecture of tumor growth and metastasis.

Tumor progression is driven by dynamic interactions between cancer cells and their surrounding microenvironment. Investigating the spatiotemporal evolution of tumors can provide crucial insights into how intrinsic changes within cancer cells and extrinsic alterations in the microenvironment cooperate to drive different stages of tumor progression. Here, we integrate high-resolution spatial transcriptomics and evolving lineage tracing technologies to elucidate how tumor expansion, plasticity, and metastasis co-evolve with microenvironmental remodeling in a Kras;p53 -driven mouse model of lung adenocarcinoma. We find that rapid tumor expansion contributes to a hypoxic, immunosuppressive, and fibrotic microenvironment that is associated with the emergence of pro-metastatic cancer cell states. Furthermore, metastases arise from spatially-confined subclones of primary tumors and remodel the distant metastatic niche into a fibrotic, collagen-rich microenvironment. Together, we present a comprehensive dataset integrating spatial assays and lineage tracing to elucidate how sequential changes in cancer cell state and microenvironmental structures cooperate to promote tumor progression.

Mitochondrial DNA Alterations in Glioblastoma and Current Therapeutic Targets.

Metabolic reprogramming within tumor cells involves a shift towards either glycolysis or mitochondrial respiration, depending on the stage of tumor progression. Consequently, irreversible dysfunction of the mitochondria is considered a crucial mechanism driving the progression mechanism. While numerous mutations in mitochondrial DNA (mtDNA) have been identified across various tumor types, including glioblastoma, many studies have been limited in the scope, focusing on small segments of mtDNA or utilizing sequencing methods with restricted sensitivity. As a result, several potentially significant mtDNA mutations may have been underestimated, along with their heteroplasmic states, which play a crucial role in determining the phenotypic impact of mtDNA mutation. Although both somatic and germline mtDNA mutations have been observed in different tumor types, research on the mtDNA mutations linked to glioblastoma remains scarce. The mitochondrial genome encodes thirteen protein-coding genes that are essential for the proper functioning of respiratory complex chains. Alterations in mitochondrial function manifest at various levels, including structural and functional changes, impacting mitogenic, hemodynamic, bioenergetic, and apoptotic signaling pathways. These alterations often signify a reduced efficiency of the oxidative phosphorylation system and energy production in tumor cells. As the crucial role of mitochondrial dysfunction in glioma development grows, mitochondria have emerged as promising targets for therapy aimed at overcoming chemoresistance and eliminating cancer cells. This brief review outlines the association between mtDNA alteration and glioblastoma, as well as the current advancements in therapeutic strategies targeting mtDNA alterations.

Impact of MTHFD2 Expression in Bladder/Breast Cancer and Screening of Its Potential Inhibitor.

Genes of folate-mediated 1 carbon metabolism are found to be highly upregulated in tumor cells and promote cancer cell proliferation. The current study aimed to determine the expression of the MTHFD2 gene in bladder and breast cancers. Furthermore, the determination of potential ligand-based inhibitors against MTHFD2 was performed in comparison with those of chemotherapeutic drugs and natural plant-based compounds. Semiquantitative expression analysis along with structure-based virtual ligand library screening was done to find plausible inhibitors. MTHFD2 expression was significantly increased with tumor stage progression both in low- and high-grade bladder cancer and especially in triple-negative breast cancer. Virtual ligand-based library screening against the three-dimensional MTHFD2 protein structure led to the identification of plausible inhibitors like MCULE-8109969891-0 and MCULE-9715677418-0-1 that displayed lower binding free energy as compared to that of already documented LY345899. Similar scaffold commercial drugs leucal (LEU), epirubicin (EPI), and lometrexol also displayed strong binding to the active site of MTHFD2. EPI and LEU in combinatorial therapy were also tested in vitro on MDA-MB-231 cells. The high doses of LEU in combination with EPI showed a significant reduction in cell viability at 2 and 3 μM concentrations. The interaction of breast cancer serum with high expression of MTHFD2 also showed an increase in binding of epirubicin in the presence of leucovorin. The decrease in the absorbance spectra of epirubicin at 37 and 53 °C displayed the stability induced by LEU on the interaction of EPI with the MTHFD2 binding pocket. Leucovorin tends to stabilize the interaction as the binding affinity is high even at 53 °C. Thus, MTHFD2 might be used as a cancer biomarker since its expression level changes drastically with tumor progression. Further experimental studies are required to establish the potential mode of inhibition of the novel small ligands. Future in vivo trials may validate the effectiveness of the combinatorial therapy.

Assessing the metastatic potential of circulating tumor cells using an organ-on-chip model.

Metastatic lung cancer remains a leading cause of death worldwide, with its intricate metastatic cascade posing significant challenges to researchers and clinicians. Despite substantial progress in understanding this cascade, many aspects remain elusive. Microfluidic-based vasculature-on-chip models have emerged as powerful tools in cancer research, enabling the simulation of specific stages of tumor progression. In this study, we investigate the extravasation behaviors of A549 lung cancer cell subpopulations, revealing distinct differences based on their phenotypes. Our results show that holoclones, which exhibit an epithelial phenotype, do not undergo extravasation. In contrast, paraclones, characterized by a mesenchymal phenotype, demonstrate a notable capacity for extravasation. Furthermore, we observed that paraclones migrate significantly faster than holoclones within the microfluidic model. Importantly, we found that the depletion of vascular endothelial growth factor (VEGF) effectively inhibits the extravasation of paraclones. These findings highlight the utility of microfluidic-based models in replicating key aspects of the metastatic cascade. The insights gained from this study underscore the potential of these models to advance precision medicine by facilitating the assessment of patient-specific cancer cell dynamics and drug responses. This approach could lead to improved strategies for predicting metastatic risk and tailoring personalized cancer therapies, potentially involving the sampling of cancer cells from patients during tumor resection or biopsies.

7092 Blocking of Aggressive Tumor Progression of Anaplastic Thyroid Cancer by p53

Abstract Disclosure: E. Hwang: None. R. Chari: None. T. Kimura: None. S. Cheng: None. Background: Anaplastic thyroid cancer (ATC) is the most aggressive form of thyroid cancer, with very limited treatment options. Patients succumb to death within 6-12 months after diagnosis. It has been observed that mutations of p53, occurring as tumorigenesis progresses, is associated with the aggressiveness of ATC. The present studies tested the hypothesis that wild type p53 (WTp53) could block tumor progression and mitigate its aggressiveness. Methods: We used human 8505C cells as a model, derived from human ATC tumors, harboring BRAFV600E mutation and one allele of mutated p53C742G. We re-expressed WTp53 or mutant p53C742G into 8505C cells (8505C-WTp53 or 8505C-MTp53 cells, respectively) via lentiviral transduction. We analyzed the effects of exogenous expressed WTp53 and mutant p53 on cell proliferation, apoptosis, and migration in vitro and the progression of tumors in vivo mouse xenograft models. Results: We showed that p53 proteins were more abundantly expressed in 8505C-WTp53 or 8505C-MTp53 cells than the parental 8505C cells. Using WTp53 luciferase reporter (PG-13), we demonstrated that the expressed WTp53 was functional as the transcription activity of p53 was higher than the parental 8505C cells. Consistently, in 8505C-MTp53, the reporter activity of PG-13 was not detected. The expressed WTp53 inhibited cell proliferation and decreased cell migration. Immunohistochemical analysis (IHC) showed decreased proliferation marker Ki67 and increased cleaved caspase-3, indicating the induction of apoptosis in 8505C-WTp53 cells. Importantly, we found that the NIS expression was increased in 8505C-WTp53 cells, but not in 8505C-MTp53 cells, as compared with 8505C cells. Xenograft studies showed that tumor progression was inhibited in nude mice injected with 8505C-WTp53 cells as compared with tumors induced by 8505C parental cells and 8505C-MTp53 cells. Consistent with in vitro findings, IHC demonstrated decreased proliferation marker Ki67 and increased cleaved caspase-3 proteins in tumors induced by 8505C-WTp53 cells. Furthermore, the expression of apoptotic regulators such as BAX and PUMA, known as p53 target genes, were elevated in 8505C-WTp53 cultured cells and in 8505C-WTp53-induced tumors, indicating induction of apoptosis. Conclusions: Our findings showed that the aggressiveness of ATC, caused by mutant p53 in late stage of tumor progression, can be mitigated by exogenous expression of WTp53. These results provided new insights into the deleterious actions of mutation of p53 in ATC tumor development. Importantly, our studies revealed that targeting p53 in ATC could be considered as a potential therapeutic opportunity. Presentation: 6/3/2024

Identifying targetable metabolic dependencies across colorectal cancer progression

Colorectal cancer (CRC) is a multi-stage process initiated through the formation of a benign adenoma, progressing to an invasive carcinoma and finally metastatic spread. Tumour cells must adapt their metabolism to support the energetic and biosynthetic demands associated with disease progression. As such, targeting cancer cell metabolism is a promising therapeutic avenue in CRC. However, to identify tractable nodes of metabolic vulnerability specific to CRC stage, we must understand how metabolism changes during CRC development. Here, we use a unique model system - comprising human early adenoma to late adenocarcinoma. We show that adenoma cells transition to elevated glycolysis at the early stages of tumour progression but maintain oxidative metabolism. Progressed adenocarcinoma cells rely more on glutamine-derived carbon to fuel the TCA cycle, whereas glycolysis and TCA cycle activity remain tightly coupled in early adenoma cells. Adenocarcinoma cells are more flexible with respect to fuel source, enabling them to proliferate in nutrient-poor environments. Despite this plasticity, we identify asparagine (ASN) synthesis as a node of metabolic vulnerability in late-stage adenocarcinoma cells. We show that loss of asparagine synthetase (ASNS) blocks their proliferation, whereas early adenoma cells are largely resistant to ASN deprivation. Mechanistically, we show that late-stage adenocarcinoma cells are dependent on ASNS to support mTORC1 signalling and maximal glycolytic and oxidative capacity. Resistance to ASNS loss in early adenoma cells is likely due to a feedback loop, absent in late-stage cells, allowing them to sense and regulate ASN levels and supplement ASN by autophagy. Together, our study defines metabolic changes during CRC development and highlights ASN synthesis as a targetable metabolic vulnerability in later stage disease.

Preoperative thromboelastography parameters in predicting the tumour stage of oral squamous cell carcinoma

BackgroundA variety of solid tumours, including oral squamous cell carcinoma (OSCC), can cause coagulation abnormalities, and this phenomenon is known as tumour-associated hypercoagulation. We aimed to explore the preoperative thromboelastography (TEG) parameter profiles of OSCC patients, and to investigate their trends in relation to tumour stage progression, and to evaluate their value for predicting cervical lymph node metastasis.MethodsData on thromboelastographic parameters and conventional coagulation indices were retrospectively collected, and comparisons were performed among preoperative primary OSCC patients (n = 311), recurrent/metastatic OSCC patients (n = 44) and a control group (n = 71). Among primary OSCC patients, the correlation with tumour stage and the predictive role of cervical lymph node metastasis were analyzed.ResultsHypercoagulability occurred in OSCC patients and tended to become more pronounced as the tumour progressed. The whole-time phase of coagulation increased with increasing T stage, while the early phase of coagulation increased with increasing N stage.ConclusionsPreoperative TEG parameters are closely related to tumour stage and progression, suggesting that TEG can be used as an important indicator for predicting tumour stage and as a potential biomarker.

MicroRNA: A Signature for the Clinical Progression of Chronic Lymphocytic Leukemia

Chronic lymphocytic leukemia (CLL) is the most common human leukemia. The disease is caused by abnormal proliferation and development of lymphocytes and their precursors in the blood and bone marrow (BM). Recent studies have shown that the CLL’s clinical course and outcome depend not only on genetic but also epigenetic factors. MicroRNAs (miRNAs) are involved in the development of hematological tumors, including CLL. The aim of this study is to identify the miRNA expression profile in CLL and determine the role of miRNAs in biological pathways associated with leukemogenesis in CLL. The following samples were used in this study: (1) samples obtained by sternal puncture and aspiration biopsy of BM (n = 115). They included samples from 21 CLL patients with anemia and indications for therapy and 45 CLL patients without anemia and with indications for therapy. The control group for the CLL BM samples consisted of patients with non-cancerous blood diseases (n = 35). (2) Lymph node (LN) samples (n = 20) were collected from CLL patients. The control group for the CLL LN samples consisted of patients with lymphadenopathy (n = 37). All cases were patients before treatment. We demonstrated a significant upregulation of miRNA-34a and miRNA-150 in CLL BM samples (p < 0.05) and downregulation of miRNA-451a in CLL LN samples (p < 0.05). We noted a dynamic increase in the levels of miRNA-150 and miRNA-34a in BM at various stages of tumor progression of CLL. We concluded that a dynamic picture of clinical manifestations of CLL closely correlates with changes in epigenetic characteristics of the tumor. Progression of the lymphoproliferative process and indications for cytoreductive therapy are associated with changes in the miRNA profile generated by cancer cells in different sites of clonal expansion.

Identification of oxidative stress signatures of lung adenocarcinoma and prediction of patient prognosis or treatment response with single-cell RNA sequencing and bulk RNA sequencing data

Lung adenocarcinoma (LUAD), the most common subtype of lung cancer globally, has seen improved prognosis with advancements in diagnostic, surgical, radiotherapy, and molecular therapy techniques, while its 5-year survival rate remains low. Molecular biomarkers provide prognostic value. Oxidative stress factors, such as reactive nitrogen species and ROS, are crucial in various stages of tumor progression, influencing cell transformation, proliferation, angiogenesis, and metastasis. ROS demonstrate dual roles, affecting tumor cells, hypoxia sensitivity, and the microenvironment. Comprehensive analysis of oxidative stress in LUAD has not been conducted to date. Therefore, we systematically investigated the regulatory patterns of oxidative stress in LUAD based on oxidative stress-related genes and correlated these patterns with cellular infiltration characteristics of the tumor immune microenvironment. The model utilizes single-factor Cox analysis to screen key differential genes with prognostic value and employs least absolute shrinkage and selection operator (LASSO) penalized Cox regression analysis to construct a prognostic-related prediction model. Ten candidate genes were selected based on this model. The risk score was constructed using the coefficients and expression levels of these ten genes. Furthermore, the impact of this risk score on overall survival (OS) was determined. Two genes with the most significant differential expression, SFTPB and S100P, were selected through qRT-PCR. Cell experiments including CCK-8, Edu, transwell assays confirmed their effects on lung cancer cells growth, consistent with the results of bioinformatics analysis. These findings suggested that this model held potential clinical value for evaluating the prognosis of lung adenocarcinoma.

Endometrial Cancer: A Pilot Study of the Tissue Microbiota.

The endometrium remains a difficult tissue for the analysis of microbiota, mainly due to the low bacterial presence and the sampling procedures. Among its pathologies, endometrial cancer has not yet been completely investigated for its relationship with microbiota composition. In this work, we report on possible correlations between endometrial microbiota dysbiosis and endometrial cancer. Women with endometrial cancer at various stages of tumor progression were enrolled together with women with a benign polymyomatous uterus as the control. Analyses were performed using biopsies collected at two specific endometrial sites during the surgery. This study adopted two approaches: the absolute quantification of the bacterial load, using droplet digital PCR (ddPCR), and the analysis of the bacterial composition, using a deep metabarcoding NGS procedure. ddPCR provided the first-ever assessment of the absolute quantification of bacterial DNA in the endometrium, confirming a generally low microbial abundance. Metabarcoding analysis revealed a different microbiota distribution in the two endometrial sites, regardless of pathology, accompanied by an overall higher prevalence of pathogenic bacterial genera in cancerous tissues. These results pave the way for future studies aimed at identifying potential biomarkers and gaining a deeper understanding of the role of bacteria associated with tumors.

Changes in subset distribution and impaired function of circulating natural killer cells in patients with colorectal cancer

Natural killer (NK) cells are closely associated with malignant tumor progression and metastasis. However, studies on their relevance in colorectal cancer (CRC) are limited. We aimed to comprehensively analyze the absolute counts, phenotypes, and function of circulating NK cells in patients with CRC using multiparametric flow cytometry. The distribution of NK cell subsets in the peripheral circulation of patients with CRC was significantly altered relative to the control group. This is shown by the decreased frequency and absolute count of CD56dimCD16+ NK cells with antitumor effects, contrary to the increased frequency of CD56bright NK and CD56dimCD16- NK cells with poor or ineffective antitumor effects. NK cells in patients with CRC were functionally impaired, with decreased intracellular interferon (IFN)-γ secretion and a significantly lower percentage of cell surface granzyme B and perforin expression. In addition, IFN-γ expression decreased significantly with the tumor stage progression. Based on a comprehensive analysis of the absolute counts, phenotypes, and functional markers of NK cells, we found an altered subset distribution and impaired function of circulating NK cells in patients with CRC.