Combination Of Markers Research Articles

Expression of mTOR, CD163, α-SMA, FOXp3 as survival predictors and its significance in patients with oral squamous cell carcinoma

BackgroundOral cancer; categorised under head and neck cancers (HNC) predominantly originates from squamous cells and is referred as oral squamous cell carcinoma (OSCC). Various factors (internal and external) causes OSCC. PI3K/AKT/mTOR pathways are known to be primarily mutated in HNC. mTOR remains as a key regulator for various physiological and developmental processes in normal and cancer cells. Cancer cells are surrounded by tumor microenvironment, majorly composed of immune cells. Cancer associated fibroblasts, macrophages and regulatory T cells controlled by mTOR, plays an important role in the progression of cancer.MethodsTwo hundred sixty retrospective patient samples were collected along with their demographical and clinic-pathological data. Here, we have analysed expression of mTOR, α-SMA, CD163 and FOXp3 using immunohistochemistry and their survival outcomes were calculated using Kaplan-Meier statistical method.ResultsOverexpression of CD163 and α-SMA was detected in samples of patients compared to mTOR and FOXp3. Their expression was compared with clinico-oncological parameters. We also observed two and three combinations of markers and its association with the prognosis of the cancer. The results suggest, higher the expression of all the four markers in combination correlated to poor prognosis of patients and vice-versa.ConclusionThe study reveals that over expression of CD163 and α-SMA is strongly associated with disease outcome. The combinations of all the four marker expression profile will be emerging strategy towards prognosis and also to determine survival outcomes in patients. This is a pioneering observation of these combinations of markers in OSCC despite certain limitations.

Skeletal Stem Cells: A Basis for Orthopaedic Pathology and Tissue Repair.

➢ Skeletal stem cells (SSCs) continually replenish mature cell populations to support skeletal homeostasis.➢ SSCs repopulate by self-renewal, have multilineage potential, and are long-lived in vivo.➢ SSCs express specific combinations of cell surface markers that reflect their lineage identity.➢ SSCs adapt to their anatomic environment to support regional differences in skeletal behavior and pathology.

Development of a thrombin-antithrombin complex detection kit and study in venous thromboembolism complicated by cervical cancer

ObjectiveOur study successfully developed an assay kit for thrombin-antithrombin complex (TAT) and demonstrated the predictive value of plasma TAT concentration in the development of venous thromboembolism (VTE) in patients with cervical cancer.MethodA retrospective analysis was conducted on 177 patients with cervical cancer who received treatment at the Affiliated Hospital of Jiangnan University in Wuxi City from July 1, 2023 to October 1, 2023. This study provides a comprehensive analysis of cervical cancer patients and their VTE risk factors. The patients were divided into two groups: 27 cases with VTE (Thrombosis group) and 150 cases without VTE (Non-thrombotic group). Additionally, the patients were classified into four stages based on tumor stage: 42 cases of stage I, 45 cases of stage II, 62 cases of stage III, and 28 cases of stage IV. The control group consisted of 80 healthy patients undergoing medical check-ups. Thrombin-antithrombin complex (TAT), fibrinolytic enzyme-α2-fibrinolytic inhibitor complex (PIC), thrombomodulin (TM), and tissue-type plasminogen activator inhibitor 1 complex (t-PAIC) were detected using quantitative chemiluminescence immunoassay. The study assessed the variations in thrombotic marker levels among cervical cancer patients of different stages through a receiver operating characteristic (ROC) curve.ResultThe TAT reagent demonstrated a detection limit of 0.048 ng/mL, with a linear R value of 0.9997, indicating high accuracy and precision. The reagent's accelerated stability was also excellent, with deviations of less than 10%. Furthermore, the correlation coefficient of this method with Hyson Mecon was R2 = 0.9683. Notably, in patients with cervical cancer, TAT and PIC levels were found to be elevated compared to those of the healthy population. Cervical cancer patients who developed thrombosis had significantly elevated levels of TAT and fibrinogen degradation products (FDP) compared to those who did not. Furthermore, patients with stage III-IV cervical cancer exhibited higher levels of the six markers than those with stage I-II during staging. Notably, the combination of four or six markers significantly improved the sensitivity and specificity of the diagnosis, as demonstrated by the ROC curves.ConclusionOur developed TAT test kit has excellent performance and low cost, making it a clinically valuable tool for widespread use. Elevated TAT levels have significant predictive value for thrombosis occurrence in cervical cancer patients. The combination of t-PAIC, TM, TAT, PIC, D-dimer(D-D), and FDP markers is superior to using a single marker for diagnosing VTE in patients with malignant tumors. Screening cervical cancer patients for the six markers is essential to aid in active prophylaxis, determine optimal treatment timing, and implement nursing interventions to improve prognosis, reduce venous thrombosis incidence and mortality, and prolong survival time.

Advances in the Diagnosis of Atypical Polypoid Adenomyoma Combining Immunohistochemical and Molecular-Based Approaches: Case Report and Review of the Literature

Atypical polypoid adenomyoma (APA) is a benign uterine lesion with a premalignant potential and occurs in women of reproductive age. The histological pattern is characterized by irregular epithelial proliferation and muscular stroma. Based on a case report, we performed a systematic review of the literature to assess the main immunohistochemical and molecular markers that contribute to its differential diagnosis against endometrial adenocarcinoma (EC). The distinction is essential for offering to patients a conservative treatment compared to the radical management required for endometrial cancer, a critical issue for the significant physical and psychological consequences that one procedure or another can have on women’s health. We performed a meta-analysis of the immunohistochemical markers used for the histological diagnosis of APA, comparing it with our case study. The evaluated markers were beta-catenin, h-caldesmon, desmin, vimentin, smooth muscle alpha-actin, CD10, Ki67, estrogen receptor (ER), progesterone receptor (PR), pan-cytokeratin, PTEN, PMS2, MSH2, MSH6, p53, MLH1, and p16. Discrepancies were observed in the expression of CD10, h- caldesmon, and p16 when comparing APA with EC. The results of the case evaluated by our team showed beta-catenin nuclear expression and positive immunostaining for pan-cytokeratin, ER, and PR in the glands; smooth muscle actin and desmin positive expression in stromal muscle; and p16 positive immunostaining in squamous morules. Moreover, the c.94G>T p. (Asp132Tyr) mutation in the CTNNB1 gene was detected. This study supports the combination of appropriate immunohistochemical and molecular markers, along with the presumptive histological diagnosis, and determines the correct classification of the lesion as APA and not as other malignant pathologies, allowing for the establishment of a treatment protocol adjusted to the biological reality of this pathology.

Dual Activation-Induced Marker Combinations Efficiently Identify and Discern Antigen-Specific and Bystander-Activated Human CD4+ T Cells.

Identifying activated T lymphocytes and differentiating antigen-specific from bystander T cells is crucial for understanding adaptive immune responses. This study investigates the efficacy of activation-induced markers (AIMs) in distinguishing these cell populations. We measured the expression of commonly used AIMs (CD25, CD38, CD40L, CD69, CD137, HLA-DR, ICOS, and OX40) in an in vitro T-cell activation system and evaluated their sensitivity, specificity, and positive predictive value. We demonstrated that individual AIMs, while specific in detecting activated CD4+ T cells, poorly discriminate between antigen-specific and bystander activation, as assessed by a discriminative capacity (DC) score we developed. Our analysis revealed that dual AIM combinations significantly enhanced the ability to distinguish antigen-specific from bystander-activated T cells, achieving DC scores above 90%. These combinations also improved positive predictive value and specificity with a modest reduction in sensitivity. The CD25hi/ICOShi combination emerged as the most efficient, with an average sensitivity of 84.35%, specificity of 99.7%, and DC score of 90.12%. Validation through T-cell cloning and antigen re-stimulation confirmed the robustness of our predictions. This study provides a practical framework for researchers to optimize strategies for identifying and isolating antigen-specific human CD4+ T lymphocytes and studying their phenotype, function, and T-cell receptor repertoire.

Pometia pinnata (J.R.Forst. & G.Forst.) as urban tree species: A chloroplast genome and phylogenetic studies

Abstract Pometia pinnata (J.R.Forst. & G.Forst.) is a native Indonesian forest plant increasingly used in urban landscaping. It produces both edible fruits and valuable timber. As with other tree species, enhancing its genetic quality is essential to maximize the utilization of this promising species. However, the information on genetic and genomic data is still lacking, including the analysis of the genetic relationship of this species. This study aims to generate the chloroplast genome of P. pinnata, identify the most suitable DNA marker, and evaluate the relationship within the Sapindaceae family using long-read sequence data generated by MinION Oxford Nanopore Technologies (ONT). The study involved several steps: DNA extraction, DNA quality and quantity tests, DNA sequencing, assembly of the chloroplast genome, and reconstruction of a phylogenetic tree using three markers, i.e., rbcL, matK, and rbcL+matK combinations. The DNA sequencing yielded 449,068 reads, with 2,856 reads after mapping, an N50 read length of 4,188 bp, a total base of 1,135,927 Mb, and a chloroplast genome of 160,372 bp. These results indicated that the DNA isolated from P. pinnata is good quality. Phylogenetic tree analysis revealed that the combination of rbcL and matK markers effectively differentiates groups within the Sapindaceae family, revealing P. pinnata as closely related to Nephelium lappaceum, Nephelium mutabile, Sapindus mukorossi, Dimocarpus longan, Bligia sapida, Litchi chinensis, Acer yangbiense, and Lepisanthes alata. This study enriches genetic studies on P. pinnata, establishing a foundation for species identification based on the rbcL and matK marker and supporting future tree improvement programs.

Discover Mutational Differences Between Lung Adenocarcinoma and Lung Squamous Cell Carcinoma and Search for More Effective Biomarkers for Immunotherapy.

Lung cancer is a severe malignant tumor. This study aims to more comprehensively characterize lung cancer patients and identify combination markers for immunotherapy. We gathered data from 166 lung cancer patients at the Cancer Hospital Affiliated with Xinjiang Medical University. The collected samples underwent NGS sequencing using a panel of 616 genes associated with cancer. Subsequently, data analysis was conducted to identify markers that are more suitable for lung cancer immunotherapy. In this study, the most common variant genes in LUAD were TP53, EGFR, MST1, KMT2C, RBM10, LRP1B. Meanwhile, the highest mutation frequency genes in LUSC samples were TP53, KMT2D, LRP1B, FAT1, MST1, KMT2C. Mutation frequencies, tumor mutation burden (TMB), PD-L1 expression, and mutant-allele tumor heterogeneity (MATH) values differed between LUAD and LUSC, with LUSC exhibiting higher values than LUAD. Irrespective of LUAD or LUSC, patients with TMB≥10 demonstrated better immunotherapy efficacy compared to patients with TMB<10. Similarly, when PD-L1≥50%, whether in LUAD or LUSC, the immunotherapy effect was superior to that of patients with PD-L1<50%. Combining TMB≥10 and PD-L1≥50% as immunotherapy markers, in both LUAD and LUSC, resulted in a very favorable immunotherapy effect, with the overall response rate (ORR) reaching 100%. We observed distinct mutation patterns and clinical factors between LUAD and LUSC, and noted that patients with TMB≥10 and PD-L1≥50% exhibited enhanced immunotherapy effects. Combining TMB≥10 and PD-L1≥50% proved to be a more effective predictor of immunotherapy efficacy.

Urinary DNA-methylation and protein biomarkers identify urothelial carcinoma among other genitourinary diseases and cancer-free individuals

BackgroundFor more than 80 years, cystoscopy has been the gold standard for identification of urothelial carcinoma (UCa). Because of many factors, such as pain of the patients during this procedure or the costs involved, non-invasive detection of UCa remains a challenge. Herein, we verify our previously identified urinary biomarkers C-X-C Motif Chemokine Ligand 16 (CXCL16) and transforming growth-factor beta induced protein (TGFBI) on the protein level as well as the CpG sites ALOX5, TRPS1 and an intergenic region on Chromosome 16 on DNA methylation level in an independent cross-sectional study.MethodsWe collected N = 1119 urines from individuals coming to urological and gynecological check-ups, follow-up care or patients suspicious for UCa or already diagnosed for different urologic or gynecologic cancer entities. We performed methylation analysis of various CpG sites with DNA isolated from urine sediment and quantified the concentration of the protein markers CXCL16 and TGFBI in the corresponding urine supernatant using ELISA. We tested for patient-group differences with two-sided Wilcoxon rank sum tests and examined the performance with receiver operating characteristic curves. For verification, we analyzed the marker performance with previously set cutoff-values and marker combinations with established and experimental algorithms (with logical OR-conjunction, iterative threshold-based biomarker and score combining algorithm “PanelomiX”).ResultsEvaluation confirmed that our previously identified protein and DNA methylation biomarkers can distinguish UCa from frequent urological and gynecological cancers. CXCL16 and TGFBI discriminated UCa cases with a sensitivity of 31% and 56% and a specificity of 94% and 85%, respectively. Combining methylation markers resulted in UCa detection in men with a sensitivity of 54% and a specificity of 94%. Extending analysis by combining all methylation and protein markers (up to five markers in total) yielded a convincingly high specificity of 97% at a sensitivity of 72% for the identification of UCa patients within a heterogeneous collective of cancer-free individuals and patients suffering from urological or gynecological cancers.ConclusionCombining various biomarkers at protein and DNA level demonstrates a new option of non-invasive UCa diagnosis in urine, and thus might help to reduce the number of unnecessary cystoscopies, especially in patients without a history of UCa.

A multi-class support vector machine classification model based on 14 microRNAs for forensic body fluid identification

MicroRNAs (miRNAs) are promising biomarkers for forensic body fluid identification owing to their small size, stability against degradation, and differential expression patterns. However, the expression of most body fluid-miRNAs is relative (differentially expressed in certain body fluids) rather than absolute (exclusively expressed in a specific body fluid). Moreover, different body fluids contain heterogeneous cell types, complicating their identification. Therefore, appropriate normalization strategies to eliminate non-biological variations and robust models to interpret expression levels accurately are necessary prerequisites for applying miRNAs in body fluid identification. In this study, the expression stability of six candidate reference genes (RGs) across five body fluids was validated using geNorm, NormFinder, BestKeeper and RankAggreg, and the most suitable combination of RGs (hsa-miR-484 and hsa-miR-191–5p) was identified under our experimental conditions. Subsequently, we systematically evaluated the expression patterns of the 28 most promising body fluid-specific miRNA markers using TaqMan RT-qPCR and selected the optimal combination of markers (12 miRNAs) to establish a multi-class support vector machine (MSVM) classification model. An independent test set (60 samples) was used to validate the accuracy of the proposed classification model, while an additional 30 casework samples were used to assess its robustness. The MSVM model accurately predicted the body fluid origin for almost all (59/60) single-source samples. Moreover, this model demonstrated the capability to identify aged forensic samples and to predict the primary components of mixed stains to a certain extent. In summary, this study presented a miRNA-based MSVM classification model for forensic body fluid identification using the qPCR platform. However, extensive validation, especially inter-laboratory collaborative exercises, is necessary before miRNA can be routinely applied in forensic identification practice.

Abstract A028: Precise monitoring of osteosarcoma patients by noninvasive assessment of matrix metalloproteinases activities in plasma extracellular vesicles

Abstract Osteosarcoma (OS) is the most prevalent bone cancer in children, characterized by aggressive primary tumors and high metastatic potential. Current treatment protocols involve a combination of neoadjuvant chemotherapy, surgery, and adjuvant chemotherapy, tailored based on histological grade and metastatic risk. Identifying metastatic lesions through routine imaging significantly impacts treatment outcomes, highlighting the need for innovative diagnostic tools for timely monitoring. Noninvasive in vitro diagnostics, analyzing circulating tumor components like tumor-derived extracellular vesicles (EVs), would offer promise for monitoring treatment responses in pediatric sarcomas. Matrix metalloproteinases (MMPs) play a crucial role in tumor progression by degradation of the extracellular matrix; thus, recent research has focused on understanding their functional roles by profiling their proteolytic activities. Tumor EVs are crucial in transporting MMPs to facilitate invasion and metastasis, making them suitable surrogate for noninvasive profiling of MMP activities. Herein, we introduce an innovative OS EV MMP Activity Assay to assess MMP activities in OS patients noninvasively. This assay evaluates six different combinations of surface markers on OS EVs and OS-associated MMPs, generating a unique profile for each patient. Using a logistic regression model, an OS EV MMP Activity Score is generated from the most effective combinations. This Score has shown excellent performance in distinguishing between metastatic and localized OS. In a longitudinal study of six OS patients undergoing treatment, the Score strongly correlated with treatment response as measured by routine imaging. The assay represents a significant advancement in harnessing tumor EVs for diagnostics, providing a noninvasive, quantitative, and reliable approach to assess MMP activities in solid tumors. Citation Format: Junseok Lee, You-Ren Ji, Hyoyong Kim, Zhao Chen, Ryan Zhang, Diego Banuet, Yusef Mathkour, Kenny Vo, Steven Jonas, Yazhen Zhu, Hsian-Rong Tseng. Precise monitoring of osteosarcoma patients by noninvasive assessment of matrix metalloproteinases activities in plasma extracellular vesicles [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A028.

The Role of Immunohistochemistry as a Surrogate Marker in Molecular Subtyping and Classification of Bladder Cancer.

Bladder cancer (BC) is a highly heterogeneous disease, presenting clinical challenges, particularly in predicting patient outcomes and selecting effective treatments. Molecular subtyping has emerged as an essential tool for understanding the biological diversity of BC; however, its implementation in clinical practice remains limited due to the high costs and complexity of genomic techniques. This review examines the role of immunohistochemistry (IHC) as a surrogate marker for molecular subtyping in BC, highlighting its potential to bridge the gap between advanced molecular classifications and routine clinical application; Methods: We explore the evolution of taxonomic classification in BC, with a particular focus on cytokeratin (KRT) expression patterns in normal urothelium, which are key to identifying basal and luminal subtypes. Furthermore, we emphasise the need for consensus on IHC markers to reliably define these subtypes, facilitating wider and standardised clinical use. The review also analyses the application of IHC in both muscle-invasive (MIBC) and non-muscle-invasive bladder cancer (NMIBC), with particular attention to the less extensively studied NMIBC cases. We discuss the practical advantages of IHC for subtyping, including its cost effectiveness and feasibility in standard pathology laboratories, alongside ongoing challenges such as the requirement for standardised protocols and external validation across diverse clinical settings; Conclusions: While IHC has limitations, it offers a viable alternative for laboratories lacking access to advanced molecular techniques. Further research is required to determine the optimal combination of markers, establish a consensus diagnostic algorithm, and validate IHC through large-scale trials. This will ultimately enhance diagnostic accuracy, guide treatment decisions, and improve patient outcomes.

Serum IgG Antibody against Helicobacter pylori and the CagA-VacA s1 Genotype as a Predictor of Gastric Cancer Development: A Case-control Study

Helicobacter pylori (H. pylori)-induced inflammation increases the risk of developing various upper gastrointestinal conditions which may progress to gastric cancer (CA). Early prediction and detection of infection are crucial for reducing cancer-induced mortality rates. The present case-control study aimed to investigate the combination of serum and molecular markers and H. pylori-associated gastro-duodenal conditions as risk factors for predicting CA development in dyspeptic patients. Consecutive gastric biopsies and blood samples were collected from 100 adult dyspeptic patients. Serum IgG antibody levels against H. pylori were determined, and receiver operating characteristic (ROC) analysis was performed. The expression of the virulence genes cagA and vacA was evaluated by polymerase chain reaction (PCR). A significant association was reported between the disease condition and the status of several risk factors, such as family history, serum IgG antibody concentration, and the virulence genes cagA and vacA. Among the 71 H. pylori-positive patients, 35.2% (25/71) had CA. Both cagA and vacA genes were found in 46 out of 71 (64.7%) patients, and 92% (23/25) of CA patients carried the cagA+vacA s1 gene. ROC analysis of the serum IgG concentrations revealed AUC values of 0.81 and 0.78 for differentiating patients with non-ulcer dyspepsia from those with ulceration/inflammation and CA, respectively. The concordance between the IgG-positive and PCR-positive patients was 84% (k value=0.41). Patients who had a family history of CA with an increased serum IgG concentration and the presence of H. pylori cagA-vacA s1 genotypes may be considered strong predictors of future development of gastric pathologies, including CA.

Single-cell multiomics analysis of chronic myeloid leukemia links cellular heterogeneity to therapy response.

The advent of tyrosine kinase inhibitors (TKIs) as treatment of chronic myeloid leukemia (CML) is a paradigm in molecularly targeted cancer therapy. Nonetheless, TKI-insensitive leukemia stem cells (LSCs) persist in most patients even after years of treatment and are imperative for disease progression as well as recurrence during treatment-free remission (TFR). Here, we have generated high-resolution single-cell multiomics maps from CML patients at diagnosis, retrospectively stratified by BCR::ABL1IS (%) following 12 months of TKI therapy. Simultaneous measurement of global gene expression profiles together with >40 surface markers from the same cells revealed that each patient harbored a unique composition of stem and progenitor cells at diagnosis. The patients with treatment failure after 12 months of therapy had a markedly higher abundance of molecularly defined primitive cells at diagnosis compared to the optimal responders. The multiomic feature landscape enabled visualization of the primitive fraction as a mixture of molecularly distinct BCR::ABL1+ LSCs and BCR::ABL1-hematopoietic stem cells (HSCs) in variable ratio across patients, and guided their prospective isolation by a combination of CD26 and CD35 cell surface markers. We for the first time show that BCR::ABL1+ LSCs and BCR::ABL1- HSCs can be distinctly separated as CD26+CD35- and CD26-CD35+, respectively. In addition, we found the ratio of LSC/HSC to be higher in patients with prospective treatment failure compared to optimal responders, at diagnosis as well as following 3 months of TKI therapy. Collectively, this data builds a framework for understanding therapy response and adapting treatment by devising strategies to extinguish or suppress TKI-insensitive LSCs.

Single-cell multiomics analysis of chronic myeloid leukemia links cellular heterogeneity to therapy response

The advent of tyrosine kinase inhibitors (TKIs) as treatment of chronic myeloid leukemia (CML) is a paradigm in molecularly targeted cancer therapy. Nonetheless, TKI-insensitive leukemia stem cells (LSCs) persist in most patients even after years of treatment and are imperative for disease progression as well as recurrence during treatment-free remission (TFR). Here, we have generated high-resolution single-cell multiomics maps from CML patients at diagnosis, retrospectively stratified by BCR::ABL1IS (%) following 12 months of TKI therapy. Simultaneous measurement of global gene expression profiles together with &gt;40 surface markers from the same cells revealed that each patient harbored a unique composition of stem and progenitor cells at diagnosis. The patients with treatment failure after 12 months of therapy had a markedly higher abundance of molecularly defined primitive cells at diagnosis compared to the optimal responders. The multiomic feature landscape enabled visualization of the primitive fraction as a mixture of molecularly distinct BCR::ABL1+ LSCs and BCR::ABL1-hematopoietic stem cells (HSCs) in variable ratio across patients, and guided their prospective isolation by a combination of CD26 and CD35 cell surface markers. We for the first time show that BCR::ABL1+ LSCs and BCR::ABL1- HSCs can be distinctly separated as CD26+CD35- and CD26-CD35+, respectively. In addition, we found the ratio of LSC/HSC to be higher in patients with prospective treatment failure compared to optimal responders, at diagnosis as well as following 3 months of TKI therapy. Collectively, this data builds a framework for understanding therapy response and adapting treatment by devising strategies to extinguish or suppress TKI-insensitive LSCs.

Early detection of neonatal sepsis and reduction of overall antibiotic exposure: Towards precision medicine

Infections claim the lives of over half a million newborns annually and expose survivors to the risk of lifelong disability. The challenge to clinicians is to identify newborns with invasive infections rapidly, promptly initiate antimicrobial treatment, and take measures to prevent and treat organ dysfunction. Moreover, excessive antibiotic use is a global public health problem. Despite considerable research on clinical and laboratory markers of neonatal sepsis, the effective translation into clinical practice remains limited. There is no single clinical or laboratory marker, nor any combination of markers that definitively confirms or rules out neonatal sepsis. The interpretation of these markers should take into account their diagnostic value for a given patient, along with their added value to the clinical decision-making process. The digitalization of health care systems, combined with increased computational power and advances in machine learning, offers the possibility of developing accurate predictive algorithms for early detection of neonatal sepsis.

Prognostic Impact and Prevalence of Cachexia in Patients With Heart Failure: A Systematic Review and Meta-Analysis.

Cachexia, defined as the combination of weight loss, weakness, fatigue, anorexia and abnormal biochemical markers based on Evans' criteria, is known to exacerbate the prognosis of heart failure (HF) patients. This systematic review and meta-analysis investigates the prognostic impact and prevalence of cachexia, as defined by Evans' criteria, in patients with HF. PubMed, Cochrane Library, Scopus and Web of Science were searched from inception until December 2023, including HF patients for whom the Evans' criteria were applied to explore the prevalence and prognostic impact of cachexia. This study employed a meta-analyses using the random-effects model and inverse-variance method that was adhered to the revised 2020 PRISMA guidelines for systematic reviews and meta-analyses (CRD42023446443). Six prospective or retrospective studies of 2252 patients with HF were included, whereby all-cause mortality was significantly greater in patients with cachexia with low heterogeneity among studies (HR: 1.60, 95% CI 1.31-1.95, p < 0.001; I2 = 0%). For the studies that used full, uniformly defined Evans' criteria, among 1844 patients, mortality remained greater in patients with cachexia (HR: 1.58, 95% CI 1.27-1.97, p < 0.001; I2 = 0%). In a subgroup analysis among 1714 of HF with reduced ejection fraction, the results were consistent (HR: 1.57, 95% CI 1.28-1.92, p < 0.001; I2 = 0%). Additionally, 10 studies comprising 2862 patients indicated a 31% risk of cachexia in HF (95% CI 21-43%, I2 = 94%). Cachexia is an independent predictor for increased all-cause mortality among patients with HF with a notable prevalence of 31%. Interventions aiding in improving fatigue, anorexia and exercise capacity could help improve the quality of life of this clinical population.

Post Mortem Molecular Biomarkers of Asphyxia: A Literature Review.

Asphyxia is a critical condition characterized by inadequate oxygen supply to the body. Post mortem diagnostics of asphyxia present significant challenges in forensic pathology, particularly when there are equivocal signs during autopsy or uncertain circumstantial data. The identification of biochemical biomarkers that indicate asphyxia has emerged as a promising area of research, as these markers can provide vital insights into the physiological changes occurring at the cellular level during asphyxiation. We performed a review of the scientific literature on the search engines Pubmed and Scopus in order to assess the state of the art on this topic. The aim of this study is to analyze which are the most promising markers and methods in the post mortem diagnosis of asphyxia. The literature review highlighted the great potential that molecular investigations can have in the analysis of this type of death, especially considering that hypoxia determines strong biochemical alterations in response to cellular stress. These changes are marked by specific biochemical alterations, which can be detected through various advanced technologies and methodologies, including mass spectrometry, immunohistochemistry, and metabolomic profiling. The review evidenced a combination of markers that can be used for diagnostic purposes in various cases, including mechanical asphyxia, carbon monoxide (CO) poisoning, perinatal asphyxia, and drowning analysis. However, we highlight that, to date, there are still no standard protocols for forensic biochemistry in asphyxia. By scrutinizing the reliability of identified biomarkers and their potential to reshape forensic investigative practices, this research aims to elucidate the critical role that post mortem biochemical analysis can play in diagnosing asphyxia, ultimately contributing to a more nuanced understanding of death-related scenarios and the development of standardized protocols in forensic examinations.

Machine learning methods for diagnostic disease prediction and treatment decisions in parvovirus B19 positive viral cardiomyopathy

Abstract Background Parvovirus B19 (B19V) is the most common type of virus found in endomyocardial biopsies (EMB) from patients with inflammatory heart disease. However, the detection of genomic B19V-DNA appears to have little clinical significance and is often considered an incidental finding. Recent analyses of a large cohort of B19V-positive patients revealed that the detection of RNA transcripts rather than DNA is of clinical importance, as B19V-RNA-positive patients have a significantly worse cardiovascular outcome. Here, we applied machine learning (ML) methods to assess the impact of B19V transcriptional activity on cardiac inflammation and patient clinical outcome. Methods and results A total of 305 patients with a known clinical course and a positive endomyocardial B19V-DNA test were included in this study. Follow-up measurements of the B19V-specific transcripts VP1/2 and NS1 revealed significantly worse clinical courses than in patients without B19V-RNA detection (P=0.019, hazard ratio (95% CI)=1.62 (1.10-2.57)). LVEF at follow-up was significantly lower in patients with detected B19V-RNA (P=0.007), and adverse events such as worsening LV function (P=0.003) or stable systolic dysfunction (P=0.013) were more frequent in this group. Importantly, analysis of inflammatory markers in EMB showed no difference in patients with and without RNA detection (P=0.432), suggesting that the deterioration in clinical outcome was related to B19V transcriptional activity rather than an increase in inflammation. The analysis of area under the receiver operating characteristic curve (AUROC) of B19V-RNA-negative patients revealed that the macrophage marker MAC-1 (AUROC=0.66, P=0.002) was the single most prognostically relevant parameter, while the T cell marker CD3 (AUROC=0.73, P&amp;lt;0.001) was identified as the most prognostically relevant marker in B19V-RNA-positive patients. The linear combination of several inflammatory markers increased the AUROC value to 0.67 in B19V-RNA-negative patients and to 0.74 in B19V-RNA-positive patients. To further increase prognostic accuracy, we trained ML models on features derived from EMB inflammatory markers. For the prediction of major adverse cardiac events within 60 months, the best ML-models achieved an AUROC of 0.87 in B19V-RNA-positive and of 0.86 in B19V-RNA-negative patients, while models that neglect the differentiation of patients with regard to the presence of B19V RNA transcripts only achieved an AUROC of up to 0.76. Conclusions These results show that B19V transcriptional activity is an independent risk marker for adverse cardiac events in patients with viral cardiomyopathy and thus confirm the clinical-therapeutic importance of myocardial biopsy. Furthermore, we present an ML-based algorithm that accurately indicates disease progression in B19V-positive cardiomyopathy patients and is thus helpful for appropriate therapy recommendation.

Characterisation of identity-informative genetic markers in the Australian population with European ancestry

Identity-informative single nucleotide polymorphisms (iiSNPs) are valuable genetic markers for human identification and kinship testing in forensic casework, especially when the quality and quantity of DNA evidence is not suitable for routine short tandem repeat (STR) profiling. This study analysed 105 buccal samples representing the Australian population with European ancestry in order to assign allele frequencies and conduct population genetic analyses for 94 iiSNPs and 20 STRs. The markers were assessed by calculating relevant forensic statistics and testing for deviations from Hardy-Weinberg and linkage equilibrium. No linkage of statistical significance was observed between any of the pair-wise combinations of the combined 114 identity-informative markers and only one STR exhibited deviation from Hardy-Weinberg equilibrium (D8S1179). The probability of matching genotypes being observed within this population was of the order of 10−23 for STRs, 10−38 for iiSNPs and 10−60 for the combined identity-informative marker panel, improving the ability to discriminate between individuals when calculating likelihood ratios in direct or indirect matching scenarios. Further, the addition of iiSNPs will facilitate identifications when suboptimal STR profiles are recovered from compromised or challenging samples and aid comparisons to genetic relatives for familial or kinship testing.

Combined analysis of a serum mRNA/miRNA marker signature and CA 19-9 for timely and accurate diagnosis of recurrence after resection of pancreatic ductal adenocarcinoma: A prospective multicenter cohort study.

Timely and accurate detection of tumor recurrence in pancreatic ductal adenocarcinoma (PDAC) patients is an urgent and unmet medical need. This study aimed to develop a noninvasive molecular diagnostic procedure for the detection of recurrence after PDAC resection based on quantification of circulating mRNA and miRNA biomarkers in serum samples. In a multicentric study, serum samples from a total of 146 patients were prospectively collected after resection. Samples were classified into a "No Evidence of Disease" and a "Recurrence" group based on clinical follow-up data. A multianalyte biomarker panel was composed of mRNAs and miRNA markers and simultaneously analyzed in serum samples using custom microfluidic qPCR arrays (TaqMan array cards). A diagnostic algorithm was developed combining a 7-gene marker signature with CA19-9 data. The best-performing marker combination achieved 90% diagnostic accuracy in predicting the presence of tumor recurrence (98% sensitivity; 84% specificity), clearly outperforming the singular CA 19-9 analysis. Moreover, time series data obtained by analyzing successively collected samples from 5 patients during extended follow-up suggested that molecular diagnosis has the potential to detect recurrence earlier than routine clinical procedures. TaqMan array card measurements were found to be biologically valid and technically reproducible. The BioPac multianalyte marker panel is capable of sensitive and accurate detection of recurrence in patients resected for PDAC using a simple blood test. This could allow a closer follow-up using shorter time intervals than currently used for imaging, thus potentially prompting an earlier work-up with additional modalities to allow for earlier therapeutic intervention. This study provides a promising approach for improved postoperative monitoring of resected PDAC patients, which is an urgent and unmet clinical need.