Search Results (693)

Liver function plays a pivotal role in the management of hepatocellular carcinoma (HCC). Consequently, managing HCC requires a dual focus on both tumour staging and liver function assessment to guide therapeutic decisions. Comprehensive liver function evaluation involves clinical tools such as the Child–Pugh classification and the Model for End-Stage Liver Disease (MELD) score. This is supplemented by newer metrics, including the MELD-Na score, the albumin–bilirubin (ALBI) grade and liver stiffness measurements. These assessments are integral to tailoring treatments, ranging from curative approaches such as surgical resection and liver transplantation to locoregional options (percutaneous ablation, transarterial chemoembolisation and radioembolisation), and systemic therapies. This review explores strategies for balancing the aggressiveness of cancer therapy with the need to preserve hepatic function, particularly in patients with advanced liver dysfunction. A multidisciplinary approach, incorporating expertise from hepatology, oncology, radiology and surgery, is essential for optimising outcomes. Advanced imaging techniques and biochemical markers also improve decision-making and ensure individualised care. Full article

Background: Pituitary neuroendocrine tumours (PitNETs) are clinically and biologically heterogeneous neoplasms that remain challenging to diagnose, prognosticate, and treat. Although recent WHO classifications using transcription-factor-based markers have refined pathological categorisation, histopathology alone still fails to predict tumour behaviour or support individualised therapy. Objective: This systematic review aimed to evaluate how machine learning (ML) and knowledge extraction approaches can complement pathology by integrating multi-dimensional omics datasets to generate predictive and clinically meaningful insights in PitNETs. Methods: The review followed the PRISMA 2020 statement for systematic reviews. Searches were conducted in PubMed, Google Scholar, arXiv, and SciSpace up to June 2025 to identify omics studies applying ML or computational data integration in PitNETs. Eligible studies included original research using genomic, transcriptomic, epigenomic, proteomic, or liquid biopsy data. Data extraction covered study design, ML methodology, data accessibility, and clinical annotation. Study quality and validation strategies were also assessed. Results: A total of 726 records were identified. After the reviewing process, 98 studies met inclusion criteria. PitNET research employed unsupervised clustering or regularised regression methods reflecting their suitability for high-dimensional omics datasets and the limited sample sizes. In contrast, deep learning approaches were rarely implemented, primarily due to the scarcity of large, clinically annotated cohorts required to train such models effectively. To support future research and model development, we compiled a comprehensive catalogue of all publicly available PitNET omics resources, facilitating reuse, methodological benchmarking, and integrative analyses. Conclusions: Although omics research in PitNETs is increasing, the lack of standardised, clinically annotated datasets remains a major obstacle to the development and deployment of robust predictive models. Coordinated efforts in data sharing and clinical harmonisation are required to unlock its full potential. Full article

Background. Glucocorticoid-induced osteoporosis represents a well-known type of secondary osteoporosis (SOp). While the most prevalent sub-category includes corticotherapy, another important contributor is represented by Cushing’s syndrome. In this traditional landscape, adrenal incidentalomas do not involve a standard cause of SOp, since most of them are non-functioning adrenal tumours (NFATs). Yet, 30–40% of them are not entirely “non-functioning”, due to mild autonomous cortisol secretion (MACS). Despite not being a guideline-based diagnosis, a lower ACTH might point to various NFATs/MACS complications. Objective. This study aimed to determine the relationship between the bone health status of post-menopausal women with NFATs/MACS and their baseline morning ACTH level. The bone health indicators were DXA, FRAX, and bone remodelling markers. Methods. This was a retrospective, real-life, transversal study in adult females who were hospitalized in a single tertiary centre of endocrinology. They were all anti-osteoporotic drug-naïve. The subjects underwent CT and DXA scanning and a 1 mg dexamethasone suppression test (DST). Results. The cohort (sample size of N = 84 patients, 61.49 ± 7.86 years) had a type 2 diabetes rate of 18%, arterial hypertension rate of 75%, and a dyslipidemia rate of 78%. Median ACTH was 11.89 pg/mL. The prevalence of MACS was 30.95%. The mean largest tumour diameter (LTD) was 2.25 ± 0.99 cm. ACTH correlated with second-day cortisol after the 1 mg DST (r = −0.301, p = 0.024), and LTD (r = −0.434, p < 0.001). ROC analysis for the bone resorption marker CrossLaps showed an AUC of 0.647 (p = 0.05), with the highest Youden index for the cut-off at 0.32 ng/mL (sensitivity 87.50%, specificity 39.50%). Bone impairment (osteoporosis + osteopenia) was found in 65% of patients, with an osteoporotic fracture prevalence of 4.76%. The lowest mean T-score (−1.12 ± 1.00) showed osteopenia, and the median trabecular bone score pointed a partially degraded microarchitecture [median (interquartile interval): 1.320 (1.230, 1.392)]. FRAX and FRAXplus estimations correlated with bone mineral density (BMD) at all three central DXA sites, regardless of the ACTH cut-off. Patients with a low ACTH (<10 pg/mL) displayed similar bone/adrenal features when compared to those with normal ACTH, except forbut they had a higher MACS rate (45.45% versus 21.57%, p = 0.021) and a larger LTD (2.67 ± 0.98 versus 1.98 ± 0.92 cm, p = 0.003). Fracture estimation showed that only in patients with a low ACTH, the 10-year fracture risk for major osteoporotic fractures (MOF) adjusted for lumbar BMD was lower than the risk for MOF adjusted for diabetes (p = 0.036), and the 10-year hip fracture risk was lower when adjusted for lumbar BMD (p = 0.007). ACTH correlated with lumbar BMD (r = 0.591, p = 0.002) only in the group with an ACTH < 10 pg/mL, suggesting its potential usefulness as a bone biomarker in these cases. On the other hand, MACS-negative subjects with a low ACTH versus those with a normal ACTH showed higher CrossLaps (0.60 ± 0.27 versus 0.42 ± 0.21 ng/mL, p = 0.022), indicating an elevated bone resorption even in patients with tumours that are regarded as true non-secretors. Conclusions. A subgroup of patients diagnosed with NFATs/MACS might be prone to skeletal damage, and biomarkers such as ACTH (specifically, suppressed ACTH) might serve as a surrogate pointer to help refine this higher risk in daily practice. Further research to address other ACTH cut-offs will place ACTH assays in the overall bone status evaluation in these patients, most probably not as a single biomarker, but in addition to other assays. Full article

Immunohistochemistry (IHC) is essential for diagnostic, prognostic, and predictive biomarker assessment in oncology, but manual interpretation is limited by subjectivity and inter-observer variability. Machine learning (ML), a computational subset of AI that allows algorithms to recognise patterns and learn from annotated datasets to make predictions or decisions, has led to advancements in digital pathology by supporting automated quantification of biomarker expression on whole-slide images (WSIs). This review evaluates the role of ML-assisted IHC scoring in the transition from validated biomarkers to the discovery of emerging prognostic and predictive IHC biomarkers for genitourinary (GU) tumours. Current applications include ML-based scoring of routinely used biomarkers such as ER/PR, HER2, mismatch repair (MMR) proteins, PD-L1, and Ki-67, demonstrating improved consistency and scalability. Emerging studies in GU cancers show that algorithms can quantify markers including androgen receptor (AR), PTEN, cytokeratins, Uroplakin II, Nectin-4 and immune checkpoint proteins, with early evidence indicating associations between ML-derived metrics and clinical outcomes. Important limitations remain, including limited availability of training datasets, variability in staining protocols, and regulatory challenges. Overall, ML-assisted IHC scoring is a reproducible and evolving approach that may support biomarker discovery and enhance precision GU oncology. Full article

Bone remodelling is a physiological process influenced by mechanical stimuli such as those generated during orthodontic treatment. Biochemical markers allow the phases of remodelling to be identified, its progression to be assessed, alterations to be detected and scaffold-based tissue regeneration to be evaluated. This study reviews the main markers involved in bone formation and resorption, highlighting their clinical relevance. A literature search was conducted in biomedical databases, selecting studies that analysed crevicular gingival fluid samples in areas of tension and compression. The markers were classified according to their function and location, and their baseline values, temporal variations and methods of analysis were compiled. Among the markers of bone formation, Osteoprotegerin (OPG), Transforming Growth factor β1 (TGF-β1) and Interleukin 27 (IL-27) stand out; while resorption markers include Receptor Activator of Nuclear Factor appa β Ligand (RANKL), Tumour Necrosis Factor (TNF-α) and Interleukin 1β (IL-1β). The results show different expression patterns depending on the type of force applied and the timing of the follow-up, allowing molecular profiles associated with each phase of remodelling to be established. This characterisation improves our understanding of tooth movement and provides a basis for the development of more precise scaffolds and functional biomaterials in orthodontics. Full article

Background/Objectives: Colorectal cancer (CRC) is one of the most common malignancies worldwide, with systemic inflammation increasingly recognised as a determinant of disease progression. This study aimed to establish a taxonomy-based classification of patients with newly diagnosed primary CRC using systemic inflammatory, haematological, and anthropometric markers, and to evaluate its association with tumour stage. Methods: A total of 229 patients (111 women, 118 men) undergoing surgery for primary CRC were included. Blood samples were analysed for haemoglobin, leukocytes, neutrophils, lymphocytes, platelets, C-reactive protein (CRP), and carcinoembryonic antigen (CEA). Anthropometric data were collected. Taxonomic clustering and ordinal logistic regression were used to explore associations with TNM and Astler–Coller classifications. Results: Men had higher neutrophil and leukocyte counts, elevated CEA concentrations (132.8 vs. 81.3 ng/mL), and higher NLR values (4.74 vs. 4.23) compared with women. Logistic regression confirmed that platelet count (OR 1.003; p = 0.004), PLR (OR 1.003; p = 0.003), and CEA (OR 1.03; p < 0.001) were positively associated with advanced TNM stage, while haemoglobin was inversely correlated (OR 0.88; p = 0.045). Among 84 clustering models, two taxonomies were the most clinically informative: Taxonomy I (BMI, neutrophils, platelets) and Taxonomy II (age, lymphocytes, platelets), both significantly associated with T, N, M, overall TNM stage, and Astler–Coller grade. Taxonomy I identified three patient groups. Type 3 represented the poorest phenotype, characterised by low BMI and haemoglobin, high platelets, elevated CEA and PLR, and predominance of TNM IIIC tumours, consistent with a cachectic–inflammatory profile. Type 1 displayed higher BMI, lower inflammation, and earlier-stage disease. Type 2 was characterized by elevated neutrophils and leukocytes. Taxonomy II distinguished four groups, with Type 2 demonstrating the most favourable profile (high haemoglobin and lymphocytes, low NLR and PLR, early TNM stage). Conclusions: Systemic inflammatory markers, haemoglobin, platelets, and CEA strongly predict CRC advancement. The proposed taxonomy provides clinically meaningful stratification of CRC patients and may support personalised risk assessment. This accessible approach may facilitate early identification of high-risk individuals, although validation in prospective studies is required. Full article

Background/Objectives: Tumour-infiltrating lymphocytes (TILs) significantly influence the prognosis of epithelial ovarian cancer (EOC). Advanced EOCs often cause neutrophilia, ascites, and malnutrition. The neutrophil-to-lymphocyte ratio (NLR) serves as a marker of systemic inflammation. This study investigated the prognostic significance of pre-treatment NLR and TILs in advanced EOCs. Methods: Overall, 101 advanced EOCs (stages III–IV, FIGO 2014) were treated between 2005 and 2020. Based on pathological findings, advanced EOCs were classified as having high or low TILs using CD8 and CD4 immunostaining. The tumour proportion score was calculated to determine PD-L1 expression. The number of marker-positive cells was counted using HALO. Progression-free survival and overall survival (OS) were compared between the high- and low-NLR groups based on TILs levels. Results: Clinicopathological characteristics, including age, FIGO stage, histological subtype, and postoperative residual disease, did not significantly differ among the four groups defined by NLR and intra-epithelial CD8+ TILs (CD8+ iTILs). Multivariate analysis of OS revealed that NLR and CD8+ iTILs were independent prognostic factors, and no correlation was observed between them. The 5-year OS rates were 82.2% in the low NLR–high CD8+ iTILs group (n = 25), 41.7% in the low NLR–low CD8+ iTILs group (n = 16), 47.2% in the high NLR–high CD8+ iTILs group (n = 34), and 26.0% in the high NLR–low CD8+ iTILs group (n = 26). In the low-NLR subgroup, OS was significantly prolonged in the high CD8+ iTILs group (p = 0.023). Conclusions: In advanced EOCs, the status of tumour-localised immunity and pre-treatment systemic inflammation influenced long-term prognosis. Full article

High-risk human papillomavirus (HPV) is a crucial risk factor in the development of cervical cancer, where epigenetic modifications and epithelial–mesenchymal transition (EMT) processes have been implicated in cancer progression and metastasis. Enhancer of zeste homolog 2 (EZH2), a histone methyltransferase, is frequently overexpressed in HPV-associated cervical cancers and has been linked to tumour progression. However, there is still no consensus on the mechanisms of their action and their effectiveness on HPV-associated cancers. This study aimed to investigate whether EZH2 inhibitors (EPZ6438 and ZLD1039) can be effective in managing cervical cancer with less toxic effects than the conventional chemotherapeutic drug cisplatin. Proliferation assay and flow cytometry results showed that EZH2 inhibitors effectively induced apoptosis and arrested cells in G0/G1 phase in both HPV+ and HPV- cervical cancer cells. Both inhibitors downregulated the expression of EZH2 and HPV16 E6/E7 at mRNA and protein levels whilst upregulating expressions of p53 and Rb and epithelial markers. In summary, both EZH2 inhibitors showed therapeutic potential in comparison to cisplatin based on cellular and molecular readouts. Additionally, EPZ6438 showed a greater efficacy and higher sensitivity towards HPV+ cells, which was further supported by preliminary in vivo results from the chorioallantoic membrane assay. Full article

Prostate-specific membrane antigen (PSMA) is a type II transmembrane glycoprotein that has become central to prostate cancer (PCa) diagnostics and treatment. Beyond its enzymatic role in folate and glutamate metabolism, PSMA is upregulated in advanced PCa, where it contributes to angiogenesis, tumour progression, and therapeutic resistance. This review integrates current understanding of PSMA biology with an emphasis on the role of PSMA expression and the hallmarks of cancer-proliferative signalling, metabolic adaptation, and evasion of cell death. While PSMA has revolutionised theranostic strategies in PCa, its utility as a sole biomarker is limited in select cases such as neuroendocrine differentiation and discordant disease biology. To address these challenges, we highlight emerging biomarkers and novel imaging markers that complement PSMA, including genomic alterations, circulating tumour markers, and exosomal microRNAs. Advances in radiomics and dual-tracer positron emission tomography (PET) further refine patient selection by capturing aggressive low-PSMA phenotypes. Furthermore, PSMA-PET is showing promise in other malignancies, including renal cell carcinoma (RCC) and glioblastoma multiforme (GBM), where neovasculature expression may extend its theranostic applications beyond PCa. By situating PSMA within this broader biomarker landscape, we outline opportunities for theranostic integration, including predictive models, combination therapies and expansion into non-prostate malignancies. Understanding the biology of PSMA in conjunction with novel biomarkers provides a framework for optimising theranostic applications and advancing personalised cancer care. Full article

Background and Objectives: Multiple myeloma (MM) remains an incurable plasma cell malignancy with heterogeneous clinical outcomes. Although current prognostic systems integrate biochemical and cytogenetic parameters, they do not fully capture disease complexity. Adipocytes within the bone marrow microenvironment secrete adipokines that regulate inflammation, metabolism, and immune interactions and may influence disease progression. This study aimed to assess circulating adipokines and related microenvironmental mediators as potential biomarkers of disease activity and treatment response in MM. Materials and Methods: In this case–control, cross-sectional study, the serum levels of eight adipokine-related molecules—adiponectin, leptin, resistin, chemerin, adipsin, thrombospondin-1 (TSP-1), paraoxonase-1 (PON-1), and myeloperoxidase (MPO)—were measured in 40 MM patients and 38 age- and sex-matched healthy controls. Enzyme-linked immunosorbent assays (ELISA) and bead-based multiplex immunoassays were used. Associations with prognostic markers (serum β₂-microglobulin (sB2M), LDH, albumin, hemoglobin, renal function) and treatment response were analyzed using correlation and non-parametric statistical methods. Results: Compared to the controls, MM patients exhibited significantly higher circulating levels of adiponectin, resistin, chemerin, adipsin, TSP-1, and MPO, while leptin was decreased. Among clinical correlations, chemerin and PON-1 correlated positively with sB2M, TSP-1 correlated with LDH, and MPO correlated with M-protein and albumin. Resistin was lower in patients with renal impairment and an advanced disease stage. Adiponectin and TSP-1 were significantly lower in progressive disease compared to complete remission, suggesting their potential association with treatment response. Conclusions: This study demonstrates that multiple adipokines are dysregulated in MM and exhibit distinct associations with disease burden, renal function, and therapeutic response. Novel associations identified for TSP-1, PON-1, and adipsin highlight previously unrecognized microenvironmental pathways in MM biology. Adipokine profiling may complement established prognostic markers and provide new insights into the tumour microenvironment in MM. Full article

The pathogenesis of koala retrovirus (KoRV) has been explored in various contexts, yet its role in tumorigenesis remains incompletely understood. Unlike acute transforming retroviruses, KoRV lacks a viral oncogene but may contribute to oncogenesis via indirect mechanisms. However, the relationship between KoRV and telomere length, as a potential indicator of telomerase activity, has not been examined. This study investigates the effect of KoRV infection on telomere length in 47 samples from Southern Australian koalas in a novel telomere length quantification method. Telomere lengths of 30 KoRV-negative samples were compared to those of 17 KoRV-positive samples using the Absolute Human Telomere Length Quantification qPCR kit (ScienCell Research Laboratories, California, USA). The telomere length in KoRV-infected WBCs was significantly longer than the uninfected ones (t = −2.059, p-value = 0.045). In line with this, telomere length correlated positively with proviral load (r = 0.421, p-value = 0.003), further linking viral burden to telomere elongation. Furthermore, the effect of age on telomere length differed by infection status (β = −5329.7, p-value = 0.0038); KoRV-positive individuals exhibited longer telomeres at a younger age but experienced more rapid telomere attrition over time compared to KoRV-negative individuals. These results suggest KoRV promotes telomerase elongation ability and modulates age-related telomere dynamics, potentially contributing to subsequent cellular immortality and oncogenesis. These pathways may overlap with other retroviruses, where telomerase dysregulation contributes to their oncogenic potential. This study provides new insights into KoRV pathogenesis and DNA quantification methodology, which could be valuable for future research by identifying predictive markers for tumour progression and potential therapeutic targets in affected koalas. Full article

Liver cancer, predominantly hepatocellular carcinoma (HCC), remains a leading cause of cancer-related mortality worldwide. Although systemic therapies have advanced in recent years, overall survival remains limited for many patients. A deeper understanding of the molecular and immunological landscape of HCC has driven the emergence of new therapeutic paradigms, from molecularly targeted agents to immune checkpoint blockade. Concurrently, innovations in liver transplantation, liquid biopsy, and multi-omics profiling are reshaping the therapeutic algorithm for selected candidates. This review summarises recent progress in molecular classification, tumour microenvironment mapping, and immune modulation, and examines how these translational insights are redefining clinical practice. Particular emphasis is placed on the integration of molecular markers into transplant eligibility, downstaging strategies, and post-transplant immunosuppression, providing a comprehensive, precision-oriented framework that bridges basic discovery and patient-centred care. Full article

Background: Oropharyngeal squamous cell carcinoma (OPSCC) is a major subtype of head and neck cancer, with prognosis increasingly influenced by the tumour immune microenvironment. Although immune checkpoint inhibitors have improved outcomes for some patients, reliable predictive biomarkers remain limited. Methods: This study aimed to investigate the prognostic relevance and epigenetic regulation of natural killer T (NKT)-cell-related gene signatures in OPSCC. Clinicopathological and transcriptomic data from 81 OPSCC patients were analysed using single-sample gene set enrichment analysis (ssGSEA) to evaluate immune-related gene set enrichment scores. Associations with overall survival and clinical features were assessed, and candidate prognostic genes were further explored through expression, methylation, and network analyses. Results: High NKT cell differentiation enrichment scores were significantly associated with improved survival and favourable clinical features. Gene-level analyses identified ITK, ZNF683, and ATF2 as key prognostic markers linked to T-cell signalling and epigenetic regulation. Methylation profiling revealed hypermethylation of ITK and hypomethylation of ZNF683 in tumour tissues, suggesting an epigenetic basis for altered gene expression. Conclusions: These findings highlight NKT cell differentiation as a strong prognostic indicator in OPSCC and support further exploration of epigenetic–immunologic interactions as potential therapeutic targets. Full article

Objective: Obesity increases the risk of endometrial cancer (EC). In this study, we aimed to investigate the prognostic effect of sarcopenia, sarcopenic obesity and sarcopenic visceral obesity, calculated with the help of cross-sectional imaging methods of muscle and visceral adipose tissue from body composition parameters, in EC. Methods: Patients diagnosed with EC were identified between January 2014 and June 2024. The combination of radiological markers and patient outcomes can predict prognosis. The skeletal muscle index (SMI) and visceral fat index (VFI) were calculated from computed tomography (CT) and/or abdominal magnetic resonance (MR) scans taken at the time of diagnosis at the Lumbal 3 (L3) vertebra level. The findings of these analyses demonstrate the strongest correlation with the ratio of muscle and visceral fat tissue throughout the body. The loss of muscle and fat is an unfavourable indicator in patients with EC. The present study analysed the prognostic values of sarcopenia, sarcopenic obesity, sarcopenic visceral obesity, and the visceral fat index in EC. The total skeletal muscle area was calculated in square centimetres. Body surface area (m²) was calculated using the Mosteller formula: ((height (cm) × weight (kg))/3600)^1/2. To normalize body composition components, the skeletal muscle index was calculated as cm²/m². Results: The study comprised a total of 236 EC patients. The prevalence of sarcopenia, sarcopenic obesity, and sarcopenic visceral obesity were found to be 48.31%, 33.47%, and 22.88%, respectively. The presence of sarcopenia, high VFI levels, sarcopenic obesity, and sarcopenic visceral obesity did not demonstrate statistical significance in the survival analysis. However, stage increase (p = 0.001), primary tumour localization in the lower uterine segment (p = 0.001), serous carcinoma (p = 0.001), increased grade in endometrioid carcinoma (p = 0.023), and lymphovascular invasion (p = 0.001) were significantly associated with increased mortality risk. The presence of sarcopenia was found to be significant in patients with obesity (p = 0.008) and those aged ≥ 65 years (p = 0.001). Conclusions: In EC survival, established prognostic factors such as serous histopathology, LVI positivity, and the extent of surgical staging are prioritised. The presence of these well-established markers means the potential effect of BMI-based observations, such as the ‘obesity paradox’, and even body composition measurements, such as sarcopenic obesity, are now statistically insignificant. Our findings suggest that aggressive tumour biology (serous type, LVI) and surgery, rather than metabolic variables such as sarcopenia, sarcopenic obesity and sarcopenic visceral obesity, are the direct reason for the survival difference. This is due to the tumour’s aggressive nature and clinical characteristics (e.g., age at diagnosis, operability, stage, primary tumour localization in the lower uterine segment, serous carcinoma, grade, and LVI positivity) rather than metabolic variables. Full article

Background/Objectives: Cutaneous squamous cell carcinoma (cSCC) is a very common skin malignancy of the head and neck area, with a propensity to spread to local lymph nodes. Epithelial-to-mesenchymal transition (EMT) and cancer-associated fibroblasts (CAFs) play a well-documented role in the progression of the disease. In this study, we developed and characterised multicellular tumour spheroids (MCTS) composed of patient-derived metastatic cSCC cell lines—each exhibiting distinct phenotypes—combined with either dermal- or lymph node-derived fibroblasts. We aimed to investigate how these cellular combinations influence MCTS formation, spatial architecture, and invasive behaviour. We hypothesised that the interplay between different cSCC and fibroblast cell combinations would differentially influence spheroid formation and invasion. Methods: Using live-cell microscopy we assessed the spatial architectures specific to each cell line-fibroblast combination and evaluated the expression of EMT and CAF markers. Furthermore, we utilised MCTS in invasion models to investigate associations between the mode of invasion and the EMT phenotype of the cancer cell line. Results: We show that metastatic cSCC/fibroblast MCTS self-organise into distinct spatial architectures. They also invade through collagen in a manner influenced by fibroblasts but dominated by the EMT status of the originating cancer cells. Conclusions: These findings highlight the physiological relevance and utility of MCTS as models for investigating tumour–stroma interactions and invasion dynamics in metastatic cSCC. Full article