Monitoring Disease Progression Research Articles

Sodium signal intensity of CSF using 1H-guided 23Na-MRI as a potential noninvasive biomarker in Alzheimer's disease.

Alzheimer's disease (AD) is characterized by cognitive decline and mnestic deficits. The pathophysiology of AD is not fully understood, which renders the development of accurate tools for early diagnosis and effective therapies exceedingly difficult. In this study, we investigated the use of 23Na-MRI to measure the relative sodium signal intensities (rSSIs) in CSF in patients with AD and healthy controls. We prospectively recruited 11 patients with biomarker-diagnosed early-stage AD, as well as 12 cognitively healthy age-matched controls. All participants underwent 23Na-MRI to measure rSSI. Statistical analyses were performed to compare CSF sodium signal intensities between groups and to evaluate the specificity and sensitivity of the rSSI in the diagnosis of AD. RSSIs in CSF were significantly higher in AD patients (mean=68.6%±7.7%) compared to healthy controls (mean=56.9%±5.5%) (p<.001). There was also a significant negative correlation between rSSI in CSF and hippocampus and amygdala volumes (r=-.54 and -.49, p<.05) as well as a positive correlation with total CSF volumes (r=.81, p<.05). Receiver operating characteristic analysis showed high diagnostic accuracy for rSSI in discriminating between AD patients and healthy controls (area under the curve=.94). Our study provides evidence that rSSI in CSF is increased in AD patients in comparison to healthy controls. rSSI may serve as a potential marker for early detection and monitoring of disease progression. Larger, longitudinal studies are needed to confirm our findings and to investigate the association between rSSI in CSF and the severity of cognitive impairment.

International validation of meaningfulness of postural sway and gait to assess myeloneuropathy in adults with adrenoleukodystrophy.

The most common manifestation of X-linked adrenoleukodystrophy (ALD) is a slowly progressive myeloneuropathy, which leads to imbalance and gait disturbances. The variable progression of the disease complicates evaluation of its progression rate. Wearable sensors allow for easy and frequent balance and gait collection. This study reports baseline data from a longitudinal study on the quantitative assessment of balance and gait with wearable sensors and their clinical relevance. Data were collected from adult patients in two institutions. Postural body sway and gait parameters were measured using accelerometers. Disease severity was measured by the Expanded Disability Severity Scale (EDSS). Falling frequency and quality of life (QOL) were collected in men. The relationship between sway and gait variables and EDSS score, participants' use of a walking aid, and falling frequency was evaluated. One hundred twenty individuals with ALD were included. Sway variables significantly differentiate participants' assistive device use. Sway and gait variables were correlated to the EDSS in both sexes. Both gait speed and sway were correlated with falling frequency in men from one institution. Select QOL subscores were correlated with the EDSS in males from one institution. Accelerometry generated comparable results across sites. This study confirms the clinical correlation between spinal cord disease and imbalance and gait in ALD. For the first time, this study shows clinically meaningful relationships for sway and gait with use of an assistive device, falling frequency and QOL. Wearable accelerometers are a valid means to measure sway and gait in ALD. These measures are promising outcomes for clinical trial designs to assess myeloneuropathy in ALD and to monitor disease progression in individuals.

A Systematic Literature Review on Inflammatory Markers in the Saliva of Patients with Multiple Sclerosis: A Cause or a Consequence of Periodontal Diseases

Background and Objectives: Multiple sclerosis (MS) is a chronic neurodegenerative disease often linked with systemic conditions such as periodontal diseases (PDs). This systematic review aims to explore the association between inflammatory markers in saliva and PDs in MS patients, assessing the use of saliva as a non-invasive tool to monitor disease progression. Materials and Methods: 82 publications were examined after a thorough search of scholarly databases to determine whether inflammatory markers were present in MS patients and whether they were associated with periodontal disease (PD). Quality and bias were assessed using the Newcastle–Ottawa Scale, resulting in eight articles that were thoroughly analyzed. Results: The results point to a strong correlation between MS and periodontal disorders, which may point to the same pathophysiological mechanism. It does, however, underscore the necessity of additional study to determine a definitive causal association. Conclusions: The findings indicate a strong association between MS and PDs, likely mediated by systemic inflammatory responses detectable in saliva. The review highlights the importance of oral health in managing MS and supports the utility of saliva as a practical, non-invasive medium for monitoring systemic inflammation. Further research is necessary to confirm the causal relationships and to consider integrating salivary diagnostics into routine clinical management for MS patients.

Evaluation of the clinical use of MGMT methylation in extracellular vesicle-based liquid biopsy as a tool for glioblastoma patient management

Glioblastoma (GB) is a devastating tumor of the central nervous system characterized by a poor prognosis. One of the best-established predictive biomarker in IDH-wildtype GB is O6-methylguanine-DNA methyltransferase (MGMT) methylation (mMGMT), which is associated with improved treatment response and survival. However, current efforts to monitor GB patients through mMGMT detection have proven unsuccessful. Small extracellular vesicles (sEVs) hold potential as a key element that could revolutionize clinical practice by offering new possibilities for liquid biopsy. This study aimed to determine the utility of sEV-based liquid biopsy as a predictive biomarker and disease monitoring tool in patients with IDH-wildtype GB. Our findings show consistent results with tissue-based analysis, achieving a remarkable sensitivity of 85.7% for detecting mMGMT in liquid biopsy, the highest reported to date. Moreover, we suggested that liquid biopsy assessment of sEV-DNA could be a powerful tool for monitoring disease progression in IDH-wildtype GB patients. This study highlights the critical significance of overcoming molecular underdetection, which can lead to missed treatment opportunities and misdiagnoses, possibly resulting in ineffective therapies. The outcomes of our research significantly contribute to the field of sEV-DNA-based liquid biopsy, providing valuable insights into tumor tissue heterogeneity and establishing it as a promising tool for detecting GB biomarkers. These results have substantial implications for advancing predictive and therapeutic approaches in the context of GB and warrant further exploration and validation in clinical settings.

Imaging of Phacomatosis: A Retrospective Study of 24 Patients

Our study delves into the radiological characteristics of phacomatoses, leveraging advanced imaging techniques like MRI and CT to differentiate and diagnose various neurocutaneous syndromes, including Sturge-Weber syndrome, neurofibromatosis types 1 and 2, tuberous sclerosis complex, and Von Hippel-Lindau disease. Conducted as a retrospective analysis at the CHU Mohammed VI's Mother and Child Hospital, our research spans over four years and eight months, examining imaging findings from 24 patients. We highlight specific radiological signatures that aid in the identification and management of these complex conditions. Our findings not only corroborate established radiological markers but also introduce new insights into the diverse manifestations of phacomatoses. This study emphasizes the critical role of imaging in enhancing diagnostic accuracy, informing therapeutic decisions, and monitoring disease progression, thereby contributing to improved patient outcomes in managing these genetic disorders.

Segmentation of mediastinal lymph nodes in CT with anatomical priors.

Lymph nodes (LNs) in the chest have a tendency to enlarge due to various pathologies, such as lung cancer or pneumonia. Clinicians routinely measure nodal size to monitor disease progression, confirm metastatic cancer, and assess treatment response. However, variations in their shapes and appearances make it cumbersome to identify LNs, which reside outside of most organs. We propose to segment LNs in the mediastinum by leveraging the anatomical priors of 28 different structures (e.g., lung, trachea etc.) generated by the public TotalSegmentator tool. The CT volumes from 89 patients available in the public NIH CT Lymph Node dataset were used to train three 3D off-the-shelf nnUNet models to segment LNs. The public St. Olavs dataset containing 15 patients (out-of-training-distribution) was used to evaluate the segmentation performance. For LNs with short axis diameter 8mm, the 3D cascade nnUNet model obtained the highest Dice score of 67.9 ± 23.4 and lowest Hausdorff distance error of 22.8 ± 20.2. For LNs of all sizes, the Dice score was 58.7 ± 21.3 and this represented a 10% improvement over a recently published approach evaluated on the same test dataset. To our knowledge, we are the first to harness 28 distinct anatomical priors to segment mediastinal LNs, and our work can be extended to other nodal zones in the body. The proposed method has the potential for improved patient outcomes through the identification of enlarged nodes in initial staging CT scans.

Deciphering Cognitive Impairments in Huntington's Disease: A Comparative Study of Stroop Test Variations.

Huntington's disease (HD) is a neurodegenerative disorder marked by cognitive impairment, movement abnormalities, and behavioral disturbances. The Stroop Color Word Test (SCWT) is a widely used tool to detect cognitive decline in HD. Variations in SCWT formats-horizontal (original) and vertical (Golden)-may influence performance, given HD's impact on cognitive and oculomotor abilities. This study aimed to compare the effectiveness of the horizontal and Golden vertical SCWT formats in detecting cognitive decline in HD, and to determine how performance may have been influenced by eye movement abnormalities. Forty-five participants with genetically confirmed HD were recruited. Both SCWT formats were administered to each participant in a counterbalanced fashion. Individual performance of all three sections on each format was standardized across 2 different norms. Raw and normed scores on each variation were compared and correlated with eye movement ratings on the Unified Huntington's Disease Rating Scale. The Golden variation elicited significantly slower responses, particularly in the Word Reading section, across two benchmark norms. Statistical analysis revealed significant performance differences between the two formats. Correlations between vertical eye movement ratings and performance on the Golden SCWT were highly significant, highlighting the impact of oculomotor coordination on cognitive assessments in HD. This study underscores the importance of considering test format in cognitive assessments for HD. The Golden vertical SCWT demonstrates increased sensitivity in detecting deficits in HD, possibly linked to vertical saccade abnormalities. These insights are important for improving the sensitivity of cognitive assessments and monitoring disease progression in HD research and clinical practice.

The prognostic value of lymph node to primary tumor standardized uptake value ratio in cancer patients: a meta-analysis.

The lymph node to primary tumor standardized uptake value ratio (NTR) is an innovative parameter derived from positron emission tomography/computed tomography (PET/CT) scans that captures the intricate relationship between primary tumors and associated lymph nodes. This meta-analysis aimed to investigate the prognostic value of NTR in cancer patients. A systematic search of PubMed, Cochrane, and Embase databases was conducted to identify studies investigating the association between NTR and survival outcomes in cancer patients. The pooled adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were calculated using a random-effects model. Twelve studies comprising a total of 2037 patients were included in the meta-analysis. Elevated NTR was significantly associated with worse overall survival aHR (2.21, 95% CI 1.63 to 2.99), disease-free survival aHR (3.27, 95% CI 2.12 to 5.05), and distant metastasis-free survival aHR (2.07, 95% CI 1.55 to 2.78) in cancer patients. Subgroup analyses by cancer type showed consistent results across various malignancies, including head and neck squamous cell carcinoma, endometrial carcinoma, lung cancer, breast cancer, and nasopharyngeal carcinoma. This meta-analysis provides evidence for a significant association between elevated NTR and worse survival outcomes in cancer patients. Elevated NTR may serve as a useful prognostic biomarker for cancer patients and could potentially be used to guide treatment decisions and monitor disease progression. Future studies should aim to validate these findings in larger and more diverse patient populations and investigate the underlying mechanisms for the observed association between NTR and survival outcomes.

Liquid biomarkers in prostate cancer: recent advancements and future directions.

Traditional diagnostic approaches of prostate cancer like PSA are limited by high false-positive rates and insufficient capture of tumour heterogeneity, necessitating the development of more precise tools. This review examines the latest advancements in liquid biomarkers for prostate cancer, focusing on their potential to refine diagnostic accuracy and monitor disease progression. Liquid biomarkers have gained prominence because of their minimally invasive nature and ability to reflect the molecular characteristics of prostate cancer. Circulating tumour cells provide insight into tumour cell dissemination and are indicative of aggressive disease phenotypes, with single-cell analyses revealing genomic instability and treatment resistance. Circulating tumour DNA offers real-time tumour genomic information, aiding in treatment decision-making in advanced prostate cancer, where it has been associated with clinical progression. MicroRNAs act as oncogenes or tumour suppressors and exhibit diagnostic and prognostic potential; however, their clinical utility is constrained by the lack of consistent validation. Extracellular vesicles contain tumour-derived biomolecules, with specific proteins demonstrating prognostic relevance. Applications of these markers to urinary testing have been demonstrated. Liquid biomarkers show potential in refining prostate cancer management. Future research should aim to integrate these biomarkers into a cohesive framework in line with precision medicine principles.

Beyond Stages: Predicting Individual Time Dependent Risk for Type 1 Diabetes.

Essentially all individuals with multiple autoantibodies will develop clinical type 1 diabetes. Multiple AABs and normal glucose tolerance define Stage 1 diabetes; abnormal glucose tolerance defines Stage 2. However, the rate of progression within these stages is heterogeneous, necessitating personalized risk calculators to improve clinical implementation. We developed 3 models using TrialNet's Pathway to Prevention data to accommodate the reality that not all risk variables are clinically available. The Small model included AAB status, fasting glucose, HbA1c and age, while the Medium and Large models added predictors of disease progression measured via oral glucose tolerance testing. All models markedly improved granularity regarding personalized risk missing from current categories of stages of T1D. Model derived risk calculations are consistent with the expected reduction of risk with increasing age and increase in risk with higher glucose and lower insulin secretion, illustrating the suitability of the models. Adding glucose and insulin secretion data altered model predicted probabilities within Stages. In those with high 2-hour glucose, a high C-peptide markedly decreased predicted risk; lower C-peptide obviated the age-dependent risk of 2-hour glucose alone, providing a more nuanced estimate of rate of disease progression within Stage 2. While essentially all those with multiple AABs will develop type 1 diabetes, the rate of progression is heterogeneous and not explained by any individual single risk variable. The model-based probabilities developed here provide an adaptable personalized risk calculator to better inform decisions about how and when to monitor disease progression in clinical practice.

A biochemical feedback signal for hypothermia treatment for neonatal hypoxic-ischemic encephalopathy: focusing on central nervous system proteins in biofluids.

Hypothermia has been widely used to treat moderate to severe neonatal hypoxic-ischemic encephalopathy (HIE), yet evaluating the effects of hypothermia relies on clinical neurology, neuroimaging, amplitude-integrated electroencephalography, and follow-up data on patient outcomes. Biomarkers of brain injury have been considered for estimating the effects of hypothermia. Proteins specific to the central nervous system (CNS) are components of nervous tissue, and once the CNS is damaged, these proteins are released into biofluids (cerebrospinal fluid, blood, urine, tears, saliva), and they can be used as markers of brain damage. Clinical reports have shown that CNS-specific marker proteins (CNSPs) were early expressed in biofluids after brain damage and formed unique biochemical profiles. As a result, these markers may serve as an indicator for screening brain injury in infants, monitoring disease progression, identifying damage region of brain, and assessing the efficacy of neuroprotective measures. In clinical work, we have found that there are few reports on using CNSPs as biological signals in hypothermia for neonatal HIE. The aim of this article is to review the classification, origin, biochemical composition, and physiological function of CNSPs with changes in their expression levels after hypothermia for neonatal HIE. Hopefully, this review will improve the awareness of CNSPs among pediatricians, and encourage future studies exploring the mechanisms behind the effects of hypothermia on these CNSPs, in order to reduce the adverse outcome of neonatal HIE.

Abstract PO5-04-13: Liquid Biopsy Testing in a Greek Cohort of ER-positive, HER2-negative metastatic breast cancer patients

Abstract AIM Endocrine therapy (ET) represents the first line treatment for patients with ER+, HER2- breast cancer, however disease progression is observed in many cases. PIK3CA and ESR1 are the most encountered mutated genes that have been associated with targeted molecular treatment, as well as with resistance to Endocrine Therapy. Liquid biopsy is a non-invasive procedure, that can provide “real-time” monitoring of disease progression and response to treatment. The aim of this study is to determine the mutation rate of ESR1 and PIK3CA genes in a selected cohort of 200 Greek breast cancer patients, using liquid biopsies and NGS technology. PATIENTS AND METHODS Liquid biopsies were collected from 200 ER-positive, HER2-negative metastatic breast cancer patients who have received at least one previous line of endocrine treatment. cfDNA was extracted using the QIAamp Circulating Nucleic Acid Kit (Qiagen). Library preparation was performed using Oncomine™ Breast cfDNA Research Assay (Thermofisher Scientific) and sequencing was carried out using Ion GeneStudio™ S5 System (Thermofisher Scientific). Ion Torrent Oncomine Knowledgebase Reporter was used in sequence analysis and interpretation of Copy number variations, SNPs, and indels. RESULTS Preliminary data of the first 49 examined samples demonstrated the prevalence of ESR1 and PIK3CA mutations in 20.4% (10/49) and 38.7% (19/49) of the cases respectively. The most frequently mutated codon in the ESR1 gene is the Y537, while in the PIK3CA gene, the H1047 codon is mainly altered. ESR1 and PIK3CA genes were co-mutated in 10.2% of the cases. Mutations in KRAS (6.1%) and TP53 (24%) were also detected. CONCLUSION More than 20% of the ER-positive, HER2-negative breast cancer patients with metastatic disease are eligible for targeted treatment with elacestrant. In addition, the high prevalence of mutations detected in our cohort indicates that liquid biopsy NGS panel testing can be used to monitor treatment response, track the development of resistance, and identify emerging genetic alterations that may guide treatment adjustments or the selection of alternative targeted therapies in breast cancer patients. REFERENCES Demir Cetinkaya B, Biray Avci C. Molecular perspective on targeted therapy in breast cancer: a review of current status. Med Oncol. 2022 Jul 14;39(10):149. doi: 10.1007/s12032-022-01749-1. PMID: 35834030; PMCID: PMC9281252. Liao H, Huang W, Pei W, Li H. Detection of ESR1 Mutations Based on Liquid Biopsy in Estrogen Receptor-Positive Metastatic Breast Cancer: Clinical Impacts and Prospects. Front Oncol. 2020 Dec 15;10:587671. doi: 10.3389/fonc.2020.587671. PMID: 33384956; PMCID: PMC7770162. https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-elacestrant-er-positive-her2-negative-esr1-mutated-advanced-or-metastatic-breast-cancer Citation Format: Nikolaos Tsoulos, Angeliki Meintani, Georgios Kapetsis, Chrysiis Chatzigiannidou-Florou, Aikaterini Tsantikidi, Stella Maxouri, Eleni Thanou, Kalliopi Aggelaina, Vasiliki Metaxa-Mariatou, Georgios Tsaousis, Ioannis Natsiopoulos, Vasileios Venizelos, Christos Markopoulos, Flora Zagouri, Eleftherios Kampletsas, Eirini Karyda, Dimitrios Tryfonopoulos, Konstantinos Papazisis, Dimitrios Ziogas, Ilias Athanasiadis, Eirini Papadopoulou, Georgios Nasioulas. Liquid Biopsy Testing in a Greek Cohort of ER-positive, HER2-negative metastatic breast cancer patients [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-04-13.

Abstract PO5-15-06: NVIGEN X® Comprehensive Liquid Biopsy for Sensitive ctDNA, Circulating Tumor Cells (CTC), and Protein Detection in Breast Cancer: Next-Generation Sequencing, Patient Case Studies, and Clinical Implications

Abstract Background Breast cancer (BC) represents the most prevalent cancer and is a leading cause of cancer related mortality among women worldwide. Despite notable therapeutic advancements, concern for metastatic recurrence remains a significant challenge. Liquid biopsy has emerged as a promising method for monitoring cancer treatment efficacy and disease progression. However, existing technologies predominantly focus on ctDNA, and their clinical utility is hindered by limited detection sensitivity and accuracy. To address these challenges, NVIGEN has developed NVIGEN X® comprehensive liquid biopsy, a novel minimally invasive approach that integrates ctDNA, CTC, and protein biomarkers. This comprehensive method could enable longitudinal monitoring of tumor dynamics, offering valuable insights into cancer biology, treatment responses, and emerging therapeutic targets. Here, we showcase compelling patient case studies, and the potential clinical implications of our technology for an exciting and evolving field in cancer diagnostics. Method Patients with advanced breast cancer were prospectively identified and consented. 10mL blood per timepoint was collected in Streck tubes. ctDNA, CTC and proteins were captured from a single tube of blood using NVIGEN magnetic nanoparticles according to established protocols. Following DNA extraction, ctDNA and CTC samples underwent NVIGEN’s highly sensitive sample workflow, optimized for NGS data accuracy and efficiency, employing hybridization capture with a 180 gene customizable cancer panel. Sequenced data were processed with NVIGEN’s proprietary high-sensitivity data analysis pipeline. Gene alterations identified from both ctDNA and CTC samples were analyzed and integrated to provide a comprehensive view of the tumor profile. Protein biomarkers of interest were detected using NVIGEN’s on-beads ELISA assay. Correlation analysis was performed to examine the relationship between the detected gene alterations, protein biomarkers, ctDNA/CTC data, and clinicopathologic features. Treatment response and identification of potential new treatment targets were evaluated based on the integrated analysis of ctDNA, CTC, protein biomarkers, and patient information. Result We collected 94 blood samples from 85 patients. Here we will present data from initial 36 patient samples. Of these 36 patients, 18 were tested with ctDNA/protein biomarkers (duo assays), and 18 were tested with ctDNA/CTC/protein biomarkers (trio assays). Comparison between duo and trio samples revealed that trio samples provided 2.5 times the number of detected variants compared to duo samples, with the median of variant numbers in duo assays being 52 (range 22-442), and in trio assays being 130 (range 73-703). Over 50% of the detected variants fell within the 0.1-0.5% variant allele frequency (VAF) range (number 2599) with total variant number being 5123. Several patient case studies were conducted using serial blood samples. These case studies revealed notable patterns of important gene alterations, such as ESR1, ERBB2 and PIK3CA, and demonstrated trends in the presence of these genes in ctDNA, CTC, or their coexistence. Protein biomarker information was correlated with ctDNA, CTC NGS data, and patient clinical status. Conclusions The analysis of the presented data from 36 patient samples with advanced breast cancer highlight the clinical relevance and potential significance of utilizing ctDNA, CTC and protein biomarkers in monitoring disease dynamics, treatment response, and guiding personalized treatment approaches. Our results suggest that individual protein biomarker analysis may be crucial in supporting personalized diagnostics and enabling more effective personalized medicine strategies. Citation Format: Aihua Fu, Minh Ton, Kevan Wang, Weiwei Gu, Henry Jin, Nuzhat Shaikh, Sasha Madan, Shreya Perepa, Tianhong Li, Minetta Liu, Heather Parsons, George Sledge, Fauzia Riaz. NVIGEN X® Comprehensive Liquid Biopsy for Sensitive ctDNA, Circulating Tumor Cells (CTC), and Protein Detection in Breast Cancer: Next-Generation Sequencing, Patient Case Studies, and Clinical Implications [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-15-06.

Collaborative Cross mice have diverse phenotypic responses to infection with Methicillin-resistant Staphylococcus aureus USA300.

Staphylococcus aureus (S. aureus) is an opportunistic pathogen causing diseases ranging from mild skin infections to life threatening conditions, including endocarditis, pneumonia, and sepsis. To identify host genes modulating this host-pathogen interaction, we infected 25 Collaborative Cross (CC) mouse strains with methicillin-resistant S. aureus (MRSA) and monitored disease progression for seven days using a surgically implanted telemetry system. CC strains varied widely in their response to intravenous MRSA infection. We identified eight 'susceptible' CC strains with high bacterial load, tissue damage, and reduced survival. Among the surviving strains, six with minimal colonization were classified as 'resistant', while the remaining six tolerated higher organ colonization ('tolerant'). The kidney was the most heavily colonized organ, but liver, spleen and lung colonization were better correlated with reduced survival. Resistant strains had higher pre-infection circulating neutrophils and lower post-infection tissue damage compared to susceptible and tolerant strains. We identified four CC strains with sexual dimorphism: all females survived the study period while all males met our euthanasia criteria earlier. In these CC strains, males had more baseline circulating monocytes and red blood cells. We identified several CC strains that may be useful as new models for endocarditis, myocarditis, pneumonia, and resistance to MRSA infection. Quantitative Trait Locus (QTL) analysis identified two significant loci, on Chromosomes 18 and 3, involved in early susceptibility and late survival after infection. We prioritized Npc1 and Ifi44l genes as the strongest candidates influencing survival using variant analysis and mRNA expression data from kidneys within these intervals.

Abstract PO1-15-06: Serum thymidine kinase activity as a “real-time” clinical biomarker of tumor response to CDK4/6 inhibition in hormone receptor positive (HR+), HER2 negative (HER2-) metastatic breast cancer

Abstract Background: CDK4/6 inhibitors (CDK4/6i) plus endocrine therapy (ET) are standard first-line (1L) treatment for hormone receptor positive (HR+), HER2-negative (HER2-) metastatic breast cancer (MBC). Despite general improvements in long-term outcome, not all patients benefit equally from these drugs. The average duration of 1L CDK4/6i therapy is ~2 years. However, 10-15% of patients will progress within 6 months of therapy initiation, while others will derive durable clinical benefit of years. Differences in treatment efficacy cannot be easily explained by clinical-pathological features. No predictive biomarkers are currently available to determine tumor sensitivity to CDK4/6i. There is an unmet need for a complementary diagnostic to identify patients that will or will not respond to these treatments in order to better inform therapy management. Thymidine kinase (TK) is an E2F-regulated enzyme that plays a key role in DNA replication during cell division. The expression and activity of TK is strongly linked to the cell cycle. TK is first expressed in late G1, peaks during S-phase, and then is degraded during mitosis. Because of the restricted expression of TK (only during S phase of the cell cycle) combined with the mechanism of action of CDK4/6i, the measurement of TK activity (TKa) may serve as an ideal pharmacodynamic biomarker to assess a tumor’s response to CDK4/6i-based therapy. DiviTum® TKa is an FDA cleared assay that can quantitate TKa from human serum (sTKa) and is intended to be used as a disease progression monitoring tool for patients with HR+, HER2- MBC. TK IMPACT is a prospective, single arm trial designed to assess the impact of incorporation of DiviTum® TKa on the physician’s decision regarding subsequent timing of routine disease monitoring modalities in patients with advanced HR+, HER2- MBC receiving 1L ET plus CDK 4/6i (NCT04968964). As a part of this ongoing study, DiviTum® TKa values are serially assessed relative to imaging findings and other circulating tumor biomarkers, such as CA15-3 and ctDNA. The primary endpoint is any physician-reported intended change in imaging testing interval post TKa by study cohort, within the first 48-week period of study participation, assessments for which are ongoing. Here we report real-world data and examples of the clinical utility of sTKa as a companion diagnostic from patients treated at Washington University Siteman Cancer Center, St. Louis, MO. Methods: Patients with HR+, HER2- MBC receiving 1L ET + any FDA-approved CDK 4/6i (palbociclib, ribociclib, or abemaciclib) had blood serum samples collected at baseline, weeks 2, 4, 6, 8, every 4 weeks up to week 24, and then every 12 weeks thereafter until disease progression. Samples were analyzed for TKa levels in real-time using the DiviTum® TKa assay. Optional repeat TKa within 2-4 wks (+/- 3 days) is permitted in case of rising TKa. Other standard monitoring assessments were carried out according to institutional guidelines and/or treating clinician discretion. Results: Pre-treatment and early on-therapy TKa levels predicted response to CDK4/6i therapy more accurately than a patient’s clinical characteristics. Rising TKa levels also identified patients with clinically occult disease progression ahead of imaging, and in some cases where radiographic interpretation and serum tumor markers such as CA15-3 were ambiguous. Measurement of TKa levels following CDK4/6i dose reduction was able to confirm continued optimal therapy response at the lower dose. A rise in TKa levels aligned with the re-emergence of ESR1 mutation as identified by ctDNA in one patient and may herald molecular progression. Conclusion: sTKa was able to predict tumor sensitivity and resistance (both intrinsic and acquired) to CDK4/6i + ET therapy in patients with HR+, HER2- MBC. We believe these findings help support the role of sTKa as a non-invasive pharmacodynamic biomarker that can assess in real-time a tumor’s response to CDK4/6i based therapy. Citation Format: Nusayba Bagegni, Amy Williams, Isabella Grigsby, Mattias Bergqvist, Katherine Clifton, Cynthia Ma. Serum thymidine kinase activity as a “real-time” clinical biomarker of tumor response to CDK4/6 inhibition in hormone receptor positive (HR+), HER2 negative (HER2-) metastatic breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-15-06.

Analysis of thioredoxin 1 levels in a mouse model of unilateral renal ischemia-reperfusion injury

Kidney disease, acute and chronic, is associated with high morbidity and mortality. Currently, a major obstacle in the field of nephrology is the lack of novel and more sensitive biomarkers that would allow an early diagnose and a proper monitoring of disease progression. Oxidative stress and the increased production of reactive oxygen species (ROS) have been implicated in the pathophysiology of a variety of renal diseases. Proteins of the thioredoxin (Trx) family, among others thioredoxins (Trxs) and glutaredoxins (Grxs), represent one of the most important protective systems in the defense against ROS as well as in the repair of their intracellular effects. Thioredoxin 1 (Trx1) is a cytosolic redox protein that catalyzes the reduction of protein disulfides using the thiol groups of two cysteine residues on its CGPC active site. Trx1 is abundantly expressed in different segments of the nephron and has been shown to be released from cells under conditions of oxidative stress in vitro and in vivo. We hypothesized that renal IRI induces the release of Trx1 from cells into extracellular fluids such as serum and tubular fluid/urine and that Trx1 increase may correlate with the degree of damage in the kidney. We established an effective mouse model of unilateral renal ischemia-reperfusion injury (IRI) and studied Trx1 levels in the serum, urine, as well as in various nephron segments of mice following IRI or sham surgery. We compared different reperfusion times (4h, 8h, 16h, 24h, 48h, 96h, and 168h) to track Trx1 levels fluctuation over time. Serum levels of Trx1 increased 4h after renal IRI, while other markers such as blood urea nitrogen and creatinine remained low. Serum Trx1 showed a positive correlation with tubular injury score helping predict intrarenal damage over time. Additionally, immunohistochemistry studies revealed an increase in Trx1 signals in the proximal tubules and collecting ducts as well as a strong nuclear localization in the same nephron segments that became more intense by 96h, a time point characterized by an intense mitotic activity in the tubules. Between 16 and 24h, Trx1 appeared in the lumen of proximal tubules, however urinary levels of Trx1 did not significantly increase. Based on these findings we conclude that serum Trx1 may represent a novel biomarker for assessing renal damage. In addition to this, we hypothesize that intrarenal changes in Trx1 expression and localization might be related to the activation of regeneration mechanisms in the renal tubular epithelium. Further studies are needed to understand the role of Trx1 in the regeneration process after renal IRI. This work was funded by the Center of Integrative Mammalian Research of Ross University School of Veterinary Medicine and by a Startup funding from Long Island University. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Digital wearable insole-based identification of knee arthropathies and gait signatures using machine learning.

Gait is impaired in musculoskeletal conditions, such as knee arthropathy. Gait analysis is used in clinical practice to inform diagnosis and to monitor disease progression or intervention response. However, clinical gait analysis relies on subjective visual observation of walking, as objective gait analysis has not been possible within clinical settings due to the expensive equipment, large-scale facilities, and highly trained staff required. Relatively low-cost wearable digital insoles may offer a solution to these challenges. In this work, we demonstrate how a digital insole measuring osteoarthritis-specific gait signatures yields similar results to the clinical gait-lab standard. To achieve this, we constructed a machine learning model, trained on force plate data collected in participants with knee arthropathy and controls. This model was highly predictive of force plate data from a validation set (area under the receiver operating characteristics curve [auROC] = 0.86; area under the precision-recall curve [auPR] = 0.90) and of a separate, independent digital insole dataset containing control and knee osteoarthritis subjects (auROC = 0.83; auPR = 0.86). After showing that digital insole derived gait characteristics are comparable to traditional gait measurements, we next showed that a single stride of raw sensor time series data could be accurately assigned to each subject, highlighting that individuals using digital insoles can be identified by their gait characteristics. This work provides a framework for a promising alternative to traditional clinical gait analysis methods, adds to the growing body of knowledge regarding wearable technology analytical pipelines, and supports clinical development of at-home gait assessments, with the potential to improve the ease, frequency, and depth of patient monitoring.

Serum β-klotho is a potential biomarker for the progression of hepatitis B virus-related liver diseases.

Hepatitis B virus (HBV) infection is a global epidemic that can lead to several liver diseases, seriously affecting people's health. This study aimed to investigate the clinical potential of serum β-klotho (KLB) as a promising biomarker in HBV-related liver diseases. This study enrolled 30 patients with chronic hepatitis B (CHB), 35 with HBV-related cirrhosis, 66 with HBV-related hepatocellular carcinoma (HCC), and 48 healthy individuals. ELISA measured the levels of serum KLB in the four groups. We then compared the differences in serum KLB levels among the groups and analyzed the relationship between serum KLB and routine clinical parameters. The concentrations of serum KLB levels were increased sequentially among the healthy subjects, the HBV-related CHB group, the HBV-related cirrhosis group, and the HBV-related HCC group (p < 0.05). Expression of KLB was positively correlated with alpha-fetoprotein (AFP), total bilirubin, direct bilirubin, alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl-transferase, alkaline phosphatase, total bile acid, serum markers for liver fibrosis, ascites, cirrhosis, splenomegaly, and model for end-stage liver disease sodium, while negatively correlated with platelet count, albumin, and prothrombin activity (p < 0.05). In addition, serum KLB has better sensitivity in diagnosing HCC than AFP, and serum KLB combined with AFP has higher sensitivity and specificity than AFP alone in diagnosing HCC. Serum KLB level is associated with the severity of HBV-related liver diseases and has important diagnostic value for HCC. Therefore, it could be a predictive biomarker for monitoring disease progression.

Ten Tips on Immunosuppression in Primary Membranous Nephropathy

Abstract Membranous nephropathy (MN) management poses challenges, particularly in selecting appropriate immunosuppressive treatments (IST) and monitoring disease progression and complications. This manuscript highlights ten key tips for the management of primary MN based on current evidence and clinical experience. First, we advise against prescribing immunosuppressive treatment (IST) to patients without nephrotic syndrome, emphasizing the need for close monitoring of disease progression. Second, we recommend initiating IST in patients with persistent nephrotic syndrome or declining kidney function. Third, we suggest prescribing rituximab or rituximab combined with calcineurin inhibitors (CNI) in medium-risk patients. Fourth, we propose cyclophosphamide-based immunosuppression for high-risk patients. Fifth, we discourage the use of glucocorticoid monotherapy or mycophenolate mofetil as initial treatments. Sixth, we underscore the importance of preventing infectious complications in patients receiving IST. Seventh, we emphasize the need for personalized monitoring of IST by closely measuring kidney function, proteinuria, serum albumin, and anti-PLA2R levels. Eighth, we recommend a stepwise approach in the treatment of resistant disease. Ninth, we advise adjusting treatment for relapses based on individual risk profiles. Finally, we caution about the potential recurrence of MN after kidney transplantation and suggests appropriate monitoring and treatment strategies for post-transplantation MN. These tips provide comprehensive guidance for clinicians managing MN, aiming to optimize patient outcomes and minimize complications.

Bilateral efforts to improve SERS detection efficiency of exosomes by Au/Na7PMo11O39 Combined with Phospholipid Epitope Imprinting

Detection of cancer-related exosomes in body fluids has become a revolutionary strategy for early cancer diagnosis and prognosis prediction. We have developed a two-step targeting detection method, termed PS-MIPs-NELISA SERS, for rapid and highly sensitive exosomes detection. In the first step, a phospholipid polar site imprinting strategy was employed using magnetic PS-MIPs (phospholipids-molecularly imprinted polymers) to selectively isolate and enrich all exosomes from urine samples. In the second step, a nanozyme-linked immunosorbent assay (NELISA) technique was utilized. We constructed Au/Na7PMo11O39 nanoparticles (NPs) with both surface-enhanced Raman scattering (SERS) property and peroxidase catalytic activity, followed by the immobilization of CD9 antibodies on the surface of Au/Na7PMo11O39 NPs. The Au/Na7PMo11O39-CD9 antibody complexes were then used to recognize CD9 proteins on the surface of exosomes enriched by magnetic PS-MIPs. Lastly, the high sensitivity detection of exosomes was achieved indirectly via the SERS activity and peroxidase-like activity of Au/Na7PMo11O39 NPs. The quantity of exosomes in urine samples from pancreatic cancer patients obtained by the PS-MIPs-NELISA SERS technique showed a linear relationship with the SERS intensity in the range of 6.21 × 107–2.81 × 108 particles/mL, with a limit of detection (LOD) of 5.82 × 107 particles/mL. The SERS signal intensity of exosomes in urine samples from pancreatic cancer patients was higher than that of healthy volunteers. This bidirectional MIPs-NELISA-SERS approach enables noninvasive, highly sensitive, and rapid detection of cancer, facilitating the monitoring of disease progression during treatment and opening up a new avenue for rapid early cancer screening.