Prognostic Biomarker Research Articles

The prognostic value of tumor-infiltrating lymphocytes in head and neck squamous cell carcinoma: A systematic review and meta-analysis

Head and neck squamous cell carcinoma (HNSCC) is experiencing a rising incidence and mortality worldwide, emphasizing the need for reliable prognostic markers. Tumor-infiltrating lymphocytes (TILs) have emerged as a promising biomarker for predicting HNSCC prognosis, yet no systematic reviews have exclusively focused on hematoxylin and eosin (H&E)–stained formalin-fixed paraffin-embedded (FFPE) samples, which are routinely used in clinical practice. This systematic review and meta-analysis followed the PRISMA guidelines to examine the prognostic value of TILs in HNSCC using H&E-stained FFPE samples. Data were pooled from 43 studies, including 26 studies in a meta-analysis, analyzing 5037 HNSCC samples. We found that a high TIL count associated with a significantly improved overall survival (OS) (HR 0.47, 95 % CI 0.41–0.55, p < 0.0001), disease-free survival (DFS) (HR 0.55, 95 % CI 0.41–0.55, p < 0.0001), and disease-specific survival (DSS) (HR 0.58, 95 % CI 0.46–0.73, p < 0.0001). The heterogeneity was moderate for the pooled analysis (OS: I² = 40 %; DFS: I² = 39 %; DSS: I² = 51 %), but low for the subgroup analysis based on tumor site in oral, oropharyngeal, laryngeal, and nasopharyngeal cancer (OS and DFS: I² = 0–14 %). This review is the first to systematically evaluate TILs in HNSCC using H&E-stained samples, confirming their prognostic value. A high TIL count is associated with improved survival outcomes, suggesting their potential as prognostic biomarkers in clinical settings.

MRNA-seq-based analysis predicts: AEG-1 is a therapeutic target and immunotherapy biomarker for pan-cancer, including OSCC.

The aberrant expression of AEG-1 is significantly correlated with tumorigenesis, development, neurodegeneration and inflammation. However, the relationship between AEG-1 expression and immune infiltration in OSCC, as well as other tumor types, has yet to be comprehensively analyzed. The expression levels, prognostic and clinicopathological characteristics, mutation patterns and methylation landscapes of AEG-1 in various tumors were obtained from multiple databases, including TIMER, GEPIA, HPA, TCGA, UALCAN, cBioPortal, SMART and TISIDB, in addition to single-cell RNA-seq data. The integration of these datasets facilitated the elucidation of the relationships among pan-cancer cellular heterogeneity, immune infiltration and AEG-1 expression levels. In vitro experiments created AEG-1 overexpressing cell lines, and mRNA-seq analyzed AEG-1-related differential genes in OSCC. RT-PCR validated these findings in vivo using xenograft tumors. Tumor cell lines were developed to study AEG-1's effects through H&E, Masson, and PAS staining. Immunohistochemistry examined AEG-1-related gene expression patterns. Our analysis demonstrated that AEG-1 is highly expressed across various cancer types and is associated with tumor grade and patient prognosis. Additionally, AEG-1 amplification was observed in multiple cancers. Notably, we identified a significant elevation of AEG-1 expression in OSCC, which strongly correlated with patient prognosis and immune infiltration. Through mRNA-seq analysis of differentially expressed genes and immune-related gene sets, we identified a strong correlation between AEG-1 and immune infiltration markers such as LCP2, CD247, HLA-DPA1, HLA-DRA, HLA-DRB1, CIITA and CD74 in OSCC. Additionally, AEG-1 was found to regulate Th1/Th2 immune homeostasis, promote glycogen accumulation, and contribute to tumor fibrosis. In conclusion, AEG-1 significantly correlates with prognosis and immune infiltration across various cancer types and holds potential as a novel prognostic immune biomarker for OSCC. This finding may facilitate the identification of patients who are most likely to benefit from adjuvant immunotherapy.

Tertiary lymphoid structures associated with improved prognosis and reduced invasion in advanced extramammary Paget's disease.

We analysed the presence and significance of tertiary lymphoid structures (TLS), a known prognostic and predictive biomarker of response to immune checkpoint inhibitors, in advanced extramammary Paget's disease. Our findings showed that TLS are associated with a favourable prognosis and may play a role in inhibiting tumour invasion, indicating that EMPD is an immunologically active tumour. These results suggest that immune checkpoint inhibitors could be an effective treatment option for advanced EMPD. This study is the first report on TLS in EMPD.

Visceral Obesity and Its Association with Severe Coronary Artery Calcification in Patients with Metabolic Dysfunction-Associated Steatotic Liver Disease.

Background/Objectives: The role of body composition parameters in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) with presence and severity of coronary artery calcification (CAC) is still not fully elucidated. We aimed to evaluate the impact of computed tomography (CT)-based body composition parameters in patients with MASLD with CAC severity. Methods: In this multicenter study, 1870 individuals underwent cardiac CT for the detection of CAC as well as ultrasonography for the diagnosis of hepatic steatosis. The presence of CAC was defined by a CAC score threshold of >0, while severe CAC was defined by a threshold of >300. Using the abdominal cross-sectional CT images at the L3 vertebra level, we analyzed the skeletal muscle index, visceral to subcutaneous adipose tissue ratio, and muscle density using the Hounsfield unit. Results: Of 648 patients with MASLD, the proportions of presence of CAC and severe CAC were 45.2% and 9.9%, respectively. Visceral obesity was not associated with the presence of CAC after adjustment for age, sex, smoking, statin therapy, type 2 diabetes, and advanced fibrosis (adjusted odds ratio (aOR), 1.38; 95% confidence interval (CI), 0.86-2.23; p = 0.180). However, visceral obesity was independently associated with severe CAC after adjustment for several metabolic risk factors (aOR, 3.54; 95% CI, 1.25-14.90; p = 0.039), and adjustment for atherosclerotic cardiovascular disease risk scores (aOR, 3.74; 95% CI, 1.31-15.79; p = 0.032). Conclusions: Visceral obesity may serve as a novel prognostic CT-based radiological biomarker for patients with MASLD with severe CAC.

N-linked fucosylated glycans are biomarkers for prostate cancer with a neuroendocrine and metastatic phenotype.

Prostate cancer (PCa) is a heterogeneous disease with a spectrum of pathology and outcomes ranging from indolent to lethal. Although there have been recent advancements in prognostic tissue biomarkers, limitations still exist. We leveraged Matrix Assisted Laser Desorption Ionization (MALDI) imaging of formalin-fixed, paraffin embedded (FFPE) prostate cancer specimens to determine if N-linked glycans expressed in the extracellular matrix of lethal neuroendocrine prostate cancer were also expressed in conventional prostate adenocarcinomas that were associated with poor outcomes. We found that N-glycan fucosylation was abundant in neuroendocrine prostate cancer as well as adenocarcinomas at time of prostatectomy that eventually developed recurrent metastatic disease. Analysis of patient derived xenografts revealed that this fucosylation signature was enriched differently across metastatic disease organ sites, with the highest abundance in liver metastases. These data suggest that N-linked fucosylated glycans could be an early tissue biomarker for poor PCa outcomes. Implications: These studies identify that hyper-fucosylated N-linked glycans are enriched in neuroendocrine prostate cancer and conventional prostate adenocarcinomas that progress to metastatic disease, thus advancing biomarker discovery and providing insights into mechanisms underlying metastatic disease.

Neutrophil-to-lymphocyte ratio as a prognostic biomarker in patients with peripheral artery disease: A systematic review and meta-analysis.

The neutrophil-to-lymphocyte ratio (NLR) is a simple and routinely obtained parameter reflecting systemic inflammation, including in peripheral artery disease (PAD). This systematic review aimed to assess the role of NLR as a prognostic biomarker in patients with PAD. A systematic search was conducted across PubMed, ScienceDirect, Web of Science, Scopus, ProQuest, EBSCO, and Cochrane. Random-effects meta-analysis was used to pool risk ratios, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). A bivariate model was used to generate summary receiver operating characteristics with the corresponding area under the curve (AUC). This review included 5243 patients with PAD from nine eligible studies. High NLR corresponded to at least a twofold increased risk of all-cause mortality (ACM), major adverse limb events (MALE), and major adverse cardiovascular events (MACE). NLR's performance was good for predicting 1-year ACM (AUC 0.71 [95% CI: 0.59-0.79], sensitivity 58.2% [95% CI: 45.3-71.0], specificity 72.6% [95% CI: 65.6-79.62], PPV 41.0% [95% CI: 31.2-50.7], NPV 82.7% [95% CI: 74.1-91.3]) and 1-year MALE (AUC 0.78 [95% CI: 0.75-0.80], sensitivity 65.4% [95% CI: 41.6-89.2], specificity 77.7% [95% CI: 71.0-84.3], PPV 53.7% [95% CI: 47.3-60.1], NPV 83.91% [95% CI: 73.2-94.6]). However, these values tended to decrease as the follow-up duration extended, except for the pooled specificities, which exhibited the opposite pattern. NLR emerges as a simple and cost-effective prognostic biomarker with decent performance for poor outcomes in patients with PAD (PROSPERO Registration No.: CRD42023486607).

Role of Liquid Biopsy in Progressive PSA Patients after Radical Prostatectomy.

Background/Objectives: Currently, the prediction of disease recurrence after radical prostatectomy (RP) in localized prostate cancer (PCa) relies on clinicopathological parameters, which lack accuracy in predicting clinical outcomes. This study focused on evaluating the utility of cfDNA levels and fragmentation patterns as prognostic biomarkers in progressive prostate-specific antigen (PSA) patients, including those with persistent PSA and biochemical recurrence (BR), after primary treatment in localized PCa patients. Methods: Twenty-nine high-risk localized PCa patients were enrolled in the study between February 2022 and May 2023. Blood samples were obtained before robotic RP. cfDNA concentration and fragment size were quantified using the Quant-it PicoGreen dsDNA Assay kit and Agilent 2200 TapeStation System, respectively. Results: The mean PSA value at diagnosis was 9.4 ng/mL. Seven patients (24.1%) had stage pT2 and 22 (75.9%) pT3. Nine patients (31%) had detectable PSA at the first PSA control six weeks after surgery, and four patients (20%) had BR during a mean follow-up of 18.4 months. No associations were found between cfDNA levels or fragmentation patterns and clinicopathological data. Although not statistically significant, patients with detectable PSA levels post-surgery exhibited higher cfDNA levels and shorter fragments compared with those with undetectable PSA. Conclusions: Our study indicated a tendency toward more fragmented cfDNA levels in PCa patients with persistent PSA. Strikingly, biochemical recurrent PCa patients exhibited similar cfDNA levels and fragmentation patterns compared to non-recurrent patients. Further studies exploring liquid biopsy-derived biomarkers in localized PCa patients are needed to elucidate their clinical utility in predicting PSA persistence.

Epigenetic trajectory predicts development of clinical rheumatoid arthritis in ACPA+ individuals: Targeting Immune Responses for Prevention of Rheumatoid Arthritis (TIP-RA).

The presence of autoantibodies to citrullinated protein antigens (ACPAs) in the absence of clinically-apparent inflammatory arthritis (IA) identifies individuals "at-risk" for developing future clinical rheumatoid arthritis (RA). However, it is unclear why some ACPA+ individuals convert to clinical RA while others do not. We explored the possibility in the Targeting Immune Responses for Prevention of Rheumatoid Arthritis (TIP-RA) study that epigenetic remodeling is part of the trajectory from an at-risk state to clinical disease and identifies novel biomarkers associated with conversion to clinical RA. ACPA-Controls, ACPA+ At-Risk, and Early RA individuals were followed for up to 5 years, including obtaining blood samples annually and at RA diagnosis. Peripheral blood mononuclear cells (PBMCs) were separated into CD19+ B cells, memory CD4+ T cells, and naïve CD4+ T cells using antibodies and magnetic beads. Genome-wide methylation within each cell lineage was assayed using the Illumina MethylationEPIC v1.0 beadchip. ACPA+ At-Risk participants who did or did not develop RA were designated "Pre-RA" or "Non-converters", respectively.Differentially methylated loci (DML) were selected using the Limma software package. Using the Caret package, we constructed machine learning models in test and validation cohorts and identified the most predictive loci of clinical RA conversion. Cross-sectional differential methylation analysis at baseline revealed DMLs that distinguish the Pre-RA methylome from ACPA+ Non-converters, the latter which closely resembled ACPA-Controls. Genes overlapping these DMLs correspond to aberrant NOTCH signaling and DNA repair pathways in B cells. Longitudinal analysis showed that ACPA-Control and ACPA+ Non-converter methylomes are relatively constant. In contrast, the Pre-RA methylome remodeled along a dynamic "RA methylome trajectory" characterized by epigenetic changes in active regulatory elements. Clinical conversion to RA, defined based on diagnosis, marked an epigenetic inflection point for cell cycle pathways in B cells and adaptive immunity pathways in naïve T cells. Machine learning revealed individual loci associated with RA conversion. This model significantly outperformed autoantibodies plus acute phase reactants as predictors of RA conversion. DNA methylation is a dynamic process in ACPA+ individuals at-risk for developing RA that eventually transition to clinical disease. In contrast, non-converters and controls have stable methylomes. The accumulation of epigenetic marks over time prior to conversion to clinical RA conforms to pathways that are associated with immunity and can be used to identify potential pathogenic pathways for therapeutic targeting and/or use as prognostic biomarkers.

Recent advances in organelle-specific autophagy in melanoma

Abstract Organelle-specific autophagy, the selective degradation of distinct cellular organelles, plays a pivotal role in the pathogenesis and progression of various diseases, including melanoma. This review provides a comprehensive analysis of recent advances in organelle-specific autophagy in melanoma, focusing on key processes such as mitophagy, reticulophagy, lysophagy, nucleophagy, pexophagy, and ribophagy. Emerging evidence highlights the roles these autophagic pathways play in melanoma development, with each process contributing uniquely to tumor cell proliferation, migration, invasion, and resistance to therapy. Mitophagy, for example, can both support tumor growth by enhancing mitochondrial quality and suppress it by inducing cell death. Similarly, ER stress exhibits a dual regulatory role, promoting either drug resistance or apoptosis depending on the context, with reticulophagy playing a critical role in modulating these effects. These findings emphasize the importance of further exploring organelle-specific autophagy as both a potential therapeutic target and a prognostic biomarker in melanoma. This research holds significant promise for the development of novel clinical strategies aimed at improving patient outcomes.

Default mode network tau predicts future clinical decline in atypical early Alzheimer's disease.

Identifying individuals with early-stage Alzheimer's disease (AD) at greater risk of steeper clinical decline would enable better-informed medical, support, and life planning decisions. Despite accumulating evidence on the clinical prognostic value of tau positron emission tomography (PET) in typical late-onset amnestic AD, its utility in predicting clinical decline in individuals with atypical forms of AD remains unclear. Across heterogeneous clinical phenotypes, patients with atypical AD consistently exhibit abnormal tau accumulation in the posterior nodes of the default mode network of the cerebral cortex. This evidence suggests that tau burden in this functional network could be a common imaging biomarker for prognostication across the syndromic spectrum of AD. Here, we examined the relationship between baseline tau PET signal and the rate of subsequent clinical decline in a sample of 48 A+/T+/N+ patients with mild cognitive impairment or mild dementia due to AD with atypical clinical phenotypes: Posterior Cortical Atrophy (n = 16), logopenic variant Primary Progressive Aphasia (n = 15), and amnestic syndrome with multi-domain impairment and young age of onset < 65 years (n = 17). All patients underwent magnetic resonance imaging (MRI), tau PET, and amyloid PET scans at baseline. Each patient's longitudinal clinical decline was assessed by calculating the annualized change in the Clinical Dementia Rating Sum-of-Boxes (CDR-SB) scores from baseline to follow-up (mean time interval = 14.55 ± 3.97 months). Atypical early AD patients showed an increase in CDR-SB by 1.18 ± 1.25 points per year: t(47) = 6.56, p < .001, Cohen's d = 0.95. Across clinical phenotypes, baseline tau in the default mode network was the strongest predictor of clinical decline (R2 = .30), outperforming a simpler model with baseline clinical impairment and demographic variables (R2 = .10), tau in other functional networks (R2 = .11-.26), and the magnitude of cortical atrophy (R2 = .20) and amyloid burden (R2 = .09) in the default mode network. Overall, these findings point to the contribution of default mode network tau to predicting the magnitude of clinical decline in atypical early AD patients one year later. This simple measure could aid the development of a personalized prognostic, monitoring, and treatment plan, which would help clinicians not only predict the natural evolution of the disease but also estimate the effect of disease-modifying therapies on slowing subsequent clinical decline given the patient's tau burden while still early in the disease course.

Pre-treatment of hyponatremia as a biomarker for poor immune prognosis in advanced or metastatic gastric cancer: A retrospective case analysis

ABSTRACT Hyponatremia, a prevalent electrolyte imbalance among tumor patients, has often been overlooked regarding its prognostic significance for immunotherapy. In this study, we delved into the prognostic ramifications of hyponatremia in advanced gastric cancer (AGC) patients undergoing immunotherapy. Enrolling AGC patients diagnosed between December 2014 and May 2021, we extracted pertinent data from electronic medical records, with a median follow-up of 35.8 months. Kaplan–Meier curves illuminated patients’ progression-free survival (PFS) and overall survival (OS), while survival disparities were tested using the Mantel–Haenszel log rank test. COX and logistic regressions were employed to scrutinize the correlation between serum sodium levels and prognosis in 268 AGC patients, both at baseline and during treatment. Notably, patients with hyponatremia exhibited shorter PFS (4.7 vs 2.1 months, p = .001*) and OS (12.5 vs 3.9 months, p < .001*). Serum sodium emerged as an independent prognostic factor for both PFS (HR = 1.773; 95% CI 1.067–2.945; p = .001*) and OS (HR = 1.773; 95% CI 1.067–2.945; p = .003*). Subgroup analysis revealed that AGC patients with hyponatremia derived no benefit from immunotherapy in terms of PFS and OS. Strikingly, a decrease in serum sodium during immunotherapy was associated with early relapse and mortality. Based on these findings, we hypothesize that hyponatremia portends poor prognostic outcomes in AGC patients treated with immunotherapy and may serve as a valuable prognostic biomarker. However, further large-scale prospective studies are warranted to validate these observations.

A Study of Hydroelectrolytic and Acid-Base Disturbances in MIS-C Patients: A Perspective on Antidiuretic Hormone Secretion.

COVID-19-associated multisystem inflammatory syndrome in children (MIS-C) is a rare autoimmune disorder characterized by a range of polymorphic manifestations, similar to but distinct from other well-known inflammatory syndromes in children. We conducted a retrospective-descriptive study in which we summarized the clinical presentation of, biomarker variations in, and complications occurring in patients diagnosed with MIS-C, admitted to the Emergency Clinical Hospital for Children "Sf. Ioan", Galati, between July 2020 and June 2024. A total of 36 children met the MIS-C classification criteria according to the WHO-approved case definitions. A total of 41.7% (n = 15) were male and 58.3% (n = 21) were female. The median age of the study group was 4 years (IQR: 1.75-9.25 years). Surgical involvement was suspected in 16.7% (n = 6) of the patients, while 52.8% (n = 19) required intensive care. Clinically, fever was the most common symptom present in 89% (n = 32) of the cases. Gastrointestinal disorders were also common, with 50% (n = 18) presenting with inappetence, 42% (n = 15) with vomiting, and 39% (n = 14) with abdominal pain from admission, which worsened over time. Paraclinically, all patients exhibited signs of inflammation, and 86.1% (n = 31) had hydroelectrolytic and acid-base imbalances. The median hospital stay was 10 days (IQR: 7-12 days), with a stagnant clinical course in most cases. The inflammatory mechanisms in MIS-C, which can affect the secretion of antidiuretic hormone (ADH), were correlated with hydroelectrolytic disturbances and may lead to severe complications. For this reason, it is imperative to evaluate hydroelectrolytic disorders in the context of MIS-C and use diagnostic and prognostic biomarkers to develop effective therapeutic management strategies, ultimately improving the quality of life of affected children.

Pyrimidine metabolism reshapes immune microenvironment and implies poor prognosis in glioma.

The metabolic environment of glioma is extremely complex. Pyrimidine metabolism can significantly influence malignant progression of multiple kinds of cancer cells. In this study, we intend to explore the relationship between pyrimidine metabolism and malignant progression of glioma. We analyzed two glioma RNA-sequencing databases to construct a pyrimidine metabolism-related risk signature. An individualized prognosis prediction model based on this risk signature was established. Functional analysis and in vitro experiments were conducted to assess the role of pyrimidine metabolism in the tumor-immune microenvironment and malignant progress of gliomas. The high-risk group, as predicted by the pyrimidine metabolism-related risk score, showed a tendency toward more malignant entities and poorer survival outcomes. Functional analysis revealed that pyrimidine metabolism significantly regulates the tumor-immune microenvironment. In vitro experiments confirmed that targeting pyrimidine metabolism-related genes can inhibit malignancy of glioma cell. In short, the pyrimidine metabolism-related signature we established could serve as an independent prognostic biomarker in diffuse gliomas and has a close association with regulation of the tumor-immune microenvironment.

Integrated multicenter deep learning system for prognostic prediction in bladder cancer

Precise survival risk stratification is crucial for personalized therapy in bladder cancer (BCa). This study developed and validated an end-to-end deep learning system using histological slides to predict overall survival (OS) risk in BCa patients. We employed the BlaPaSeg tile classifier to generate tissue probability heatmaps and segmentation maps, trained two prognostic networks, MacroVisionNet and UniVisionNet, and explored six potential BCa prognostic biomarkers. Across all cohorts, the AUC for BlaPaSeg ranged from 0.9906 to 0.9945, while the C-index varied from 0.655 to 0.834 for MacroVisionNet and 0.661 to 0.853 for UniVisionNet. After covariate adjustment, the hazard ratio (HR) values for high-risk groups were 1.97 to 5.06 in MacroVisionNet and 2.13 to 4.01 in UniVisionNet. The high-risk Coloc (Tumor Co-localization score) and IMTS (Integrated Muscle Tumor Score) groups illustrated a higher death risk with HR values from 1.41 to 10.16. The system improves BCa survival prediction and supports refined patient management.

Neutrophil N1 polarization induced by cardiomyocyte-derived extracellular vesicle miR-9-5p aggravates myocardial ischemia/reperfusion injury

Neutrophil polarization contributes to inflammation and its resolution, but the role of neutrophil polarization in myocardial ischemia/reperfusion (I/R) injury remains unknown. Cardiomyocytes (CMs) participate in cardiac inflammation by secreting extracellular vesicles (EVs). Therefore, we investigated the role of neutrophil polarization in myocardial I/R injury and the mechanism by which CM-derived EVs regulated neutrophil polarization. In the present study, our data showed that N1 neutrophil polarization enlarged cardiac infarct size and exacerbated cardiac dysfunction at the early stage of myocardial I/R. Further, CM-EV-derived miR-9-5p was identified as a mediator inducing neutrophils to the N1 phenotype. Mechanistically, miR-9-5p directly suppressed SOCS5 and SIRT1 expression, resulting in activating JAK2/STAT3 and NF-κB signaling pathways in neutrophils. Importantly, we confirmed that serum EV-derived miR-9-5p levels were independently associated with cardiovascular mortality in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention. These findings suggest neutrophil polarization is a promising therapeutic target against myocardial I/R-induced inflammation and injury, and serum EV-derived miR-9-5p is a promising prognostic biomarker for cardiovascular mortality in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention.Graphical

Zinc Finger Protein 536 is a Potential Prognostic Biomarker that Promotes Neuroblastoma Progression via VEGFR2-PI3K-AKT Pathway.

Neuroblastoma (NB) is a well-known pediatric malignancy intertwined with neurodevelopment. Previously implicated in neuronal differentiation, Zinc Finger Protein 536 (ZNF536) has emerged as a promising prognostic and immune-related biomarker in our pan-cancer analysis. Single-cell RNA transcriptome sequencing, bulk transcriptome analysis, and immuno-histochemistry were used to assess ZNF536 expression and its association with prognosis. Cell proliferation, migration, invasion, and differentiation in ZNF536-knockdown NB cell lines were detected to evaluate the effect of ZNF536 on tumor cells. Vascular Endothelial Growth Factor Receptor 2 (VEGFR2), a potential target of ZNF536, and its downstream PI3K/AKT signaling cascade were investigated using transcriptome sequencing, CUT&Tag, quantitative real-time PCR (qRT-PCR), and Western blotting. The role of ZNF536 in tumorigenesis and the potential regulation axis was evaluated in vivo using a BALB/c nude mouse xenograft tumor model. ZNF536 mRNA and protein expression were significantly higher in NB patients with poor prognosis. In vitro, ZNF536 knockdown curtailed proliferation, migration, and invasion of NB cells while fostering differentiation. ZNF536 regulated VEGFR2 expression, thus activating the PI3K-AKT pathway. In vivo, ZNF536 knockdown reduced tumor growth and proliferation via the VEGFR2-PI3K-AKT pathway. ZNF536 resulted as a novel prognostic biomarker in NB, promoting oncogenesis through VEGFR2-PI3K-AKT signaling axis modulation, suggesting its therapeutic potential in managing NB progression.

Exploring the Role of CDKN2A in Human Cancers Using an Integrative Pan-Cancer Approach

This study aims to investigate the expression variation, biological significance, and prognostic value of cyclin-dependent kinase inhibitor 2A (CDKN2A) as a common biomarker across 33 malignancies. Various bioinformatics tools, including UALCAN, GEPIA2, OncoDB, cBioPortal, TIMER2, STRING, DAVID, and the GSCA database, were employed for this pan-cancer analysis. The results revealed significant up-regulation of CDKN2A in 24 major human cancer subtypes (P &lt; 0.05). This up-regulation was strongly associated with poor overall survival and tumor dissemination, particularly in uterine corpus endometrial carcinoma (UCEC), colon adenocarcinoma (COAD), and liver hepatocellular carcinoma (LIHC), highlighting its potential as a prognostic biomarker. Moreover, CDKN2A overexpression was linked to diverse clinicopathological characteristics of patients. Genetic alterations recorded via cBioPortal indicated minimal mutation rates in COAD, LIHC, and UCEC. Additionally, promoter methylation, drug sensitivity, and enrichment analyses were performed to explore associations with CDKN2A expression. Overall, the findings emphasize the potential of CDKN2A as a shared diagnostic and prognostic biomarker, as well as a therapeutic target in COAD, LIHC, and UCEC, particularly in patients with varied clinicopathological traits.

Strain rate during isovolumic relaxation as a prognostic biomarker for long-term cardiovascular morbidity and mortality: an exploratory study on a general population.

Left ventricular (LV) strain rate (SR) during early relaxation correlates with LV filling pressures and has been assessed as a prognostic biomarker in several cardiac diseases. Conversely, even though LV SR during isovolumic relaxation (SRIVR)is more strongly related to invasive measurements of LV diastolic function, to date, studies on the role of SRIVR in the long-term prognosis assessment are lacking. Thus, the goal of this study was to assess the potential additive prognostic value of SRIVR on top of conventional cardiovascular risk factors in a general population. 657 subjects (mean age 51.6y; 47.6% males) were included in this study and, besides clinical and standard echocardiographic assessment, tissue Doppler imaging (TDI)-based SR was measured during IVR (SRIVR), early diastole (SRe), and atrial contraction (SRa) in the mid-segment of the inferior, inferolateral, lateral, and septal wall of the LV. During the follow-up period (median 12.1years), the total number of major adverse cardiac events was 85 (13.4%). Overall, after adjustment for known cardiovascular risk factors and important echocardiographic indices in a multivariable-adjusted Cox regression model, SRIVR of the inferolateral wall (SRIVRinflat) remained an independent predictor of fatal and nonfatal cardiac events (HR: 1.49, p = 0.016), along with GLS (HR: 1.35, p = 0.027), age (HR: 1.09, p < 0.001), and male sex (HR: 2.06, p = 0.037). None of SRIVR measured in the other myocardial walls were associated with cardiac outcome. SRIVRinflat predicted adverse outcome in the general population, on top of conventional cardiovascular factors. However, its incremental value as a prognosticator remained limited.

The tumor immune microenvironment of SCLC is not associated with its molecular subtypes

IntroductionSmall-cell lung carcinoma (SCLC) is a high-grade neuroendocrine carcinoma of poor prognosis. Although immune checkpoint blockers have shown promising results in advanced SCLC, the tumor immune microenvironment (TME) remains poorly understood, with no validated prognostic or predictive biomarkers of efficacy. MethodsThis retrospective study included surgically samples from 48 SCLC patients between 2009 and 2018. We assessed the TME using two quantitative 7-plex immunofluorescence panels focusing on T and B cells, and compared it to NSCLC (N = 10). Molecular subtypes were determined by assessing the expression of ASCL1, NEUROD1 and YAP1 using immunohistochemistry. ResultsImmune-hot SCLC were defined as those exhibiting the highest immune cell and immune-related marker densities. They were associated with longer overall survival, significantly more frequently detected at early stages, and exhibited high PD-L1 expression in immune cells, but were not associated with molecular subtypes. Compared to NSCLC, SCLC had significantly lower densities of CD20 + cells and higher density of PD1 + cells, with no significant differences in CD4 + , CD8 + and plasma cell densities. In univariate analysis, the highest OS was significantly associated with early stage (p < 0.001), low expression of NEUROD1 (p = 0.047), high PD1 + cell density (p < 0.001) and high PD-L1 immune cell expression (p = 0.04). Only stage and PD1 + cell density emerged as independent prognostic markers. ConclusionSCLC TME is highly heterogeneous. Immune-hot tumors were associated with OS but not with molecular classification. PD1 expression and PD-L1 expression by immune cells may thus serve as a prognostic marker.

MODELLING GBM RECURRENCE: THE INflUENCE OF PERI-LESIONAL OEDEMA AND THE DISCONNECTOME

Abstract AIMS Residual tumour burden after surgery in GBM patients is a prognostic imaging biomarker, often involving the area of T2 signal elevation surrounding the tumour core, histopathologically representing infiltrative oedema with tumour cells. We present the first stage of a model to improve the prediction GBM recurrence by specifically investigating the peri-lesional oedema compartment. METHOD UK-wide sample of histologically proven IDHwt GBMs with MRIs at the time of diagnosis underwent state-of- the-art in-house tumour segmentation pipeline and radiomic feature extraction of whole-tumour, enhancing, non-enhancing and oedema components, and masked disconnectome map components. Of these, early GBM recurrence, within 6 months after completion of radiotherapy, was curated and distribution mapped across the brain. RESULTS 1464 patients were identified: male = 901, median age 63 years, average overall survival 597 days. The radiomic features: Compactness 1 and 2, Surface Area, Spherical Disproportion, Sphericity, and Maximum 2D Diameter column of the disconnectome-related perilesional oedema compartment were most predictive of survival outcome (p value &amp;lt;0.01). Of these, 47 patients with average overall survival 357 days and average time from end of radiotherapy to progression of 131 days were identified. CONCLUSION Our early results reveal the relationship between perilesional oedema MRI features and survival, with disconnectome-related perilesional oedema features most predictive. This suggests that extended brain network aberrations caused by gliomas may also influence tumour recurrence. Further work will focus on the development of more robust predictive models of tumour recurrence that have potential for significant impact on surgical and radiotherapy planning.