Monitoring Of Therapeutic Response Research Articles

Methotrexate-loaded manganese nitrogen dual-doped carbon quantum dots as targeted nano drug-delivery system for potential use in cancer theranostics

The present work highlights manganese nitrogen dual-doped carbon quantum dots as a novel pH-sensitive drug delivery system, for the delivery of methotrexate, targeted to cancer cells, along with the simultaneous real-time monitoring of cellular uptake and drug delivery using fluorescence imaging. Briefly, methotrexate was conjugated with the as-prepared quantum dots to form a nano drug-delivery system through non-covalent interactions. The developed material demonstrated drug loading efficiency of ∼91 % and a very efficient (∼80 %) pH-responsive drug release at pH 5.5. The cytotoxic properties of the developed nano-platform viz. manganese, nitrogen dual-doped carbon quantum dots, and methotrexate conjugated manganese nitrogen dual-doped carbon quantum dot complex were evaluated in cancer cells (HeLa) and healthy human cells (L929). The conjugated complex demonstrated excellent biocompatibility, high cellular uptake, and a substantial drug release. Healthy human cells were largely unaffected when incubated with both the MTX-conjugated Mn-, N-CQD and the free drug. Additionally, in vitro, the fluorescence bio-imaging potential of the developed nano-platform was also assessed, where the unconjugated (free) quantum dots exhibited better blue fluorescence imaging potential compared to that of the conjugated complex, which can be attributed to fluorescence quenching due to the presence of methotrexate. This study highlights the manganese nitrogen dual-doped carbon quantum dots capable of pH-responsive methotrexate drug delivery selective to cancer cells. The combination of drug delivery and fluorescence imaging creates an efficient platform for targeted therapy, allowing very precise drug release while accessing non-invasive monitoring of therapeutic response. This method holds a great promise for advancing cancer treatment strategies, with the potential for increased efficacy and decreased side effects.

Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024.

The rapid advancement of artificial intelligence (AI) has significantly impacted various aspects of healthcare, particularly in the medical imaging field. This review focuses on recent developments in the application of deep learning (DL) techniques to breast cancer imaging. DL models, a subset of AI algorithms inspired by human brain architecture, have demonstrated remarkable success in analyzing complex medical images, enhancing diagnostic precision, and streamlining workflows. DL models have been applied to breast cancer diagnosis via mammography, ultrasonography, and magnetic resonance imaging. Furthermore, DL-based radiomic approaches may play a role in breast cancer risk assessment, prognosis prediction, and therapeutic response monitoring. Nevertheless, several challenges have limited the widespread adoption of AI techniques in clinical practice, emphasizing the importance of rigorous validation, interpretability, and technical considerations when implementing DL solutions. By examining fundamental concepts in DL techniques applied to medical imaging and synthesizing the latest advancements and trends, this narrative review aims to provide valuable and up-to-date insights for radiologists seeking to harness the power of AI in breast cancer care.

Ex vivo precision-cut liver slices model disease phenotype and monitor therapeutic response for liver monogenic diseases.

In academic research and the pharmaceutical industry, in vitro cell lines and in vivo animal models are considered as gold standards in modelling diseases and assessing therapeutic efficacy. However, both models have intrinsic limitations, whilst the use of precision-cut tissue slices can bridge the gap between these mainstream models. Precision-cut tissue slices combine the advantage of high reproducibility, studying all cell sub-types whilst preserving the tissue matrix and extracellular architecture, thereby closely mimicking a mini-organ. This approach can be used to replicate the biological phenotype of liver monogenic diseases using mouse models. Here, we describe an optimised and easy-to-implement protocol for the culture of sections from mouse livers, enabling its use as a reliable ex-vivo model to assess the therapeutic screening of inherited metabolic diseases. We show that precision-cut liver sections can be a reliable model for recapitulating the biological phenotype of inherited metabolic diseases, exemplified by common urea cycle defects such as citrullinemia type 1 and argininosuccinic aciduria, caused by argininosuccinic synthase (ASS1) and argininosuccinic lyase (ASL) deficiencies respectively. Therapeutic response to gene therapy such as messenger RNA replacement delivered via lipid nanoparticles can be monitored, demonstrating that precision-cut liver sections can be used as a preclinical screening tool to assess therapeutic response and toxicity in monogenic liver diseases.

Pushing the Boundaries of Liquid Biopsies for Early Precision Intervention.

Liquid biopsies are emerging as powerful minimally invasive approaches that have the potential to solve several long-standing problems spanning the continuum of cancer care: early detection of cancer, minimal residual disease tracking, and refinement of the heterogeneity of clinical responses together with therapeutic response monitoring in the metastatic setting. Existing challenges driven by technical limitations and establishment of the clinical value of liquid biopsies represent fields of active research that call for convergence science approaches to bridge scientific discovery with clinical care.

Thermophoretic glycan profiling of extracellular vesicles for triple-negative breast cancer management

Triple-negative breast cancer (TNBC) is a highly metastatic and heterogeneous type of breast cancer with poor outcomes. Precise, non-invasive methods for diagnosis, monitoring and prognosis of TNBC are particularly challenging due to a paucity of TNBC biomarkers. Glycans on extracellular vesicles (EVs) hold the promise as valuable biomarkers, but conventional methods for glycan analysis are not feasible in clinical practice. Here, we report that a lectin-based thermophoretic assay (EVLET) streamlines vibrating membrane filtration (VMF) and thermophoretic amplification, allowing for rapid, sensitive, selective and cost-effective EV glycan profiling in TNBC plasma. A pilot cohort study shows that the EV glycan signature reaches 91% accuracy for TNBC detection and 96% accuracy for longitudinal monitoring of TNBC therapeutic response. Moreover, we demonstrate the potential of EV glycan signature for predicting TNBC progression. Our EVLET system lays the foundation for non-invasive cancer management by EV glycans.

Identification of Serum Biomarkers to Monitor Therapeutic Response in Intestinal-Type Gastric Cancer.

There are a limited number of clinically useful serum biomarkers to predict tumor onset or treatment response in gastric cancer (GC). For this reason, we explored the serum proteome of the gp130Y757F murine model of intestinal-type gastric cancer (IGC). We identified 30 proteins with significantly elevated expression in early gp130Y757F IGC and 12 proteins that were significantly elevated in late gp130Y757F IGC compared to age- and gender-matched wild-type mice. Within these signatures, there was an overlap of 10 proteins commonly elevated in both early- and late-stage disease. These results highlight the potential to identify serum biomarkers of disease stage. Since IGC in the gp130Y757F model can be reversed following therapeutic inhibition of Interleukin (IL)-11, we explored whether the protein signatures we identified could be used to monitor tumor regression. We compared two different therapeutic modalities and found 5 proteins to be uniquely differentially expressed between control animals and animals halfway through treatment, with 10 differentially expressed at the end of treatment. Our findings highlight the potential to identify reliable biomarkers to track IGC tumor regression in response to treatment.

MicroRNAs in Testicular Germ Cell Tumors: The Teratoma Challenge.

Testicular germ cell tumors (TGCTs) are relatively common in young men, making accurate diagnosis and prognosis assessment essential. MicroRNAs (miRNAs), including microRNA-371a-3p (miR-371a-3p), have shown promise as biomarkers for TGCTs. This review discusses the recent advancements in the use of miRNA biomarkers in TGCTs, with a focus on the challenges surrounding the noninvasive detection of teratomas. Circulating miR-371a-3p, which is expressed in undifferentiated TGCTs but not in teratomas, is a promising biomarker for TGCTs. Its detection in serum, plasma, and, potentially, cystic fluid could be useful for TGCT diagnosis, surveillance, and monitoring of therapeutic response. Other miRNAs, such as miR-375-3p and miR-375-5p, have been investigated to differentiate between TGCT subtypes (teratoma, necrosis/fibrosis, and viable tumors), which can aid in treatment decisions. However, a reliable marker for teratoma has yet to be identified. The clinical applications of miRNA biomarkers could spare patients from unnecessary surgeries and allow for more personalized therapeutic approaches. Particularly in patients with residual masses larger than 1 cm following chemotherapy, it is critical to differentiate between viable tumors, teratomas, and necrosis/fibrosis. Teratomas, which mimic somatic tissues, present a challenge in differentiation and require a comprehensive diagnostic approach. The combination of miR-371 and miR-375 shows potential in enhancing diagnostic precision, aiding in distinguishing between teratomas, viable tumors, and necrosis. The implementation of miRNA biomarkers in TGCT care could improve patient outcomes, reduce overtreatment, and facilitate personalized therapeutic strategies. However, a reliable marker for teratoma is still lacking. Future research should focus on the clinical validation and standardization of these biomarkers to fully realize their potential.

Current Approaches for Monitoring of Patients with Inflammatory Bowel Diseases: A Narrative Review.

Patients with inflammatory bowel diseases (IBD) require proactive monitoring both during the active phase to evaluate therapeutic response and during the remission phase to evaluate relapse or colorectal cancer surveillance. However, monitoring may vary between patients with ulcerative colitis (UC) and Crohn's disease (CD), with distinct tools and intervals. This narrative review aims to focus on modern approaches to IBD monitoring, considering international guidelines and expert consensus. The most recent European diagnostic guidelines advocate a combination of clinical, laboratory, endoscopic, and radiological parameters to evaluate the disease course of patients with IBD. Unfortunately, the conventional symptom-based therapeutic approach does not improve long-term outcomes and there is no single ideal biomarker available. Endoscopy plays a key role in evaluating response to therapy as well as monitoring disease activity. Recently, bedside intestinal ultrasound (IUS) has gained increasing interest and diffusion as it appears to offer several advantages including the monitoring of therapeutic response. In light of growing clinical advances, we present a schematic evidence-based monitoring algorithm that can be easily applied in clinical practice which combines all major monitoring modalities, including noninvasive tools such as IUS and video-capsule endoscopy.

A continuous flow bioreactor system for high-throughput hyperpolarized metabolic flux analysis.

Hyperpolarized carbon-13 labeled compounds are increasingly being used in medical MR imaging (MRI) and MR imaging (MRI) and spectroscopy (MRS) research, due to its ability to monitor tissue and cell metabolism in real-time. Although radiological biomarkers are increasingly being considered as clinical indicators, biopsies are still considered the gold standard for a large variety of indications. Bioreactor systems can play an important role in biopsy examinations because of their ability to provide a physiochemical environment that is conducive for therapeutic response monitoring ex vivo. We demonstrate here a proof-of-concept bioreactor and microcoil receive array setup that allows for ex vivo preservation and metabolic NMR spectroscopy on up to three biopsy samples simultaneously, creating an easy-to-use and robust way to simultaneously run multisample carbon-13 hyperpolarization experiments. Experiments using hyperpolarized [1-13C]pyruvate on ML-1 leukemic cells in the bioreactor setup were performed and the kinetic pyruvate-to-lactate rate constants ( ) extracted. The coefficient of variation of the experimentally found s for five repeated experiments was . With this statistical power, treatment effects of 30%-40% change in lactate production could be easily differentiable with only a few hyperpolarization dissolutions on this setup. Furthermore, longitudinal experiments showed preservation of ML-1 cells in the bioreactor setup for at least 6 h. Rat brain tissue slices were also seen to be preserved within the bioreactor for at least 1 h. This validation serves as the basis for further optimization and upscaling of the setup, which undoubtedly has huge potential in high-throughput studies with various biomarkers and tissue types.

P421 The faecal biomarker LDN-051 is a novel tool for monitoring disease activity and therapeutic response in Inflammatory Bowel Diseases

Abstract Background Crohn’s disease and ulcerative colitis, two forms of inflammatory bowel disease (IBD) require lifelong treatment and patient monitoring. Current predictors of relapse and therapeutic success have limitations, therefore there is high unmet need to identify novel biomarkers in IBD. Monitoring approaches for IBD are mostly invasive, time-consuming, and expensive. Therefore, a simple, rapid, and non-invasive test, with ability to differentiate IBD from other gastrointestinal conditions and to monitor disease activity, will have important clinical implications. Our previous mucosal cytokine profiling identified that Plasminogen activator inhibitor type 1 (PAI-1) is expressed in IBD patients with active disease, but not in control. Therefore, our aim was to assess the utility of PAI-1 in monitoring disease activity and therapeutic response of IBD patients in different biological samples. Methods Serum, biopsy and faecal samples were collected from 132 IBD patients and 30 controls without IBD. ELISA method was used to define the level of PAI-1 in the mucosa, serum, and faecal samples and the serum CRP levels were also determined. For the mucosal gene expression analysis qRT-PCR was used. The correlation and ROC analyses were applied to observe the relationship between the disease activity and PAI-1 level. Results The applied screening approach detected significant higher expression of PAI-1 in active IBD. We demonstrated that the serum, mucosal and faecal PAI-1 concentration was significantly elevated in IBD patients showing clinical and endoscopic activity. Additionally, in responder patients the initial PAI-1 level decreased significantly upon successful therapy, whereas it remained unchanged in non-responders. We also showed that faecal PAI-1 selectively increases in active IBD patients, but not in other organic gastrointestinal diseases. In addition, the stability analysis of faecal PAI-1 showed that the protein was detectable up to one week at room temperature and 4ºC. The serum, mucosal and faecal PAI-1 level showed positive correlation to the endoscopic activity. ROC curves demonstrated that faecal PAI-1 showed a relatively high power to distinguish between active and control patients. However, the serum CRP level no reflected to the therapeutic response. Conclusion Our results suggest that serum, mucosal and faecal PAI-1 expression reflects to the disease activity in IBD, which could be used to disease monitoring and possibly therapeutic response. The correlation between the faecal PAI-1 level and the endoscopic activity promotes that it could be used as a novel non-invasive disease specific faecal biomarker in the IBD diagnosis.

Clinical validation of Northstar Response, a novel methylated ctDNA therapy response monitoring assay in patients with advanced GI cancer undergoing active treatment.

756 Background: ctDNA is a non-invasive way to holistically assess the tumor. Several assays developed for therapy response monitoring rely on variant allele frequencies to detect scarce somatic variants in the blood. In contrast, methylated ctDNA measurement has shown promise as a treatment monitoring biomarker without requiring a tumor biopsy, yet accuracy is limited in ability to precisely quantify the amount of methylation present in the ctDNA. The CLIA-approved Northstar Response assay (BillionToOne, Inc.) quantifies on average 90 methylated loci, a 10-fold increase in signal over the average tissue-informed assays. Methods: This prospective, observational study assesses the clinical validity of Northstar Response, a quantitative methylated ctDNA therapeutic response monitoring assay that does not require prior tumor tissue. A cohort of 100 advanced cancer patients with a variety of GI malignancies submit serial ctDNA measurements in a blinded fashion. Eligibility includes advanced GI cancer patients starting a new line of systemic therapy (IO, targeted, chemo or combination) who are not pregnant or s/p organ or bone marrow transplantation. Blood samples are collected at baseline, at the time of imaging, and at least two intermediate time points (~30 days and 60 days post tx initiation). The primary endpoint is to measure the concordance and temporal relationship between disease progression measured by ctDNA compared to RECISTv1.1, clinical confirmation, or death. A Cox proportional hazards model will be used to quantify the association between the change in tumor methylation score (TMS; total methylated tumor molecules per 1000 assayed genomic equivalents) and clinical progression. The cohort will be split equally between a training and validation set. Results: Enrollment began in June 2023 and continues. To date, 28 patients with a variety of advanced GI cancers (table) have been enrolled with 37 samples processed. All samples have passed established QC metrics with average turn-around-time from receipt of sample to final report of 9.1 days (95% were <15 days). TMS ranged from <120 to >160,000 across individual samples, indicating that the assay can detect a broad range of tumor load in blood. We detected a median of 69 methylated loci per sample (range 4-451). Out of 21 pts, 17 had at least one sample with TMS measured above the noise floor of 120. Conclusions: The Northstar Response assay can consistently detect ctDNA across a variety of advanced GI cancers. Enrollment continues with formal comparison to clinical progression planned. Additional data on the complete training set will be available at the meeting.[Table: see text]

NIR-Triggered Thermosensitive Nanoreactors for Dual-Guard Mechanism-Mediated Precise and Controllable Cancer Chemo-Phototherapy.

Thermosensitive nanoparticles can be activated by externally applying heat, either through laser irradiation or magnetic fields, to trigger the release of drug payloads. This controlled release mechanism ensures that drugs are specifically released at the tumor site, maximizing their effectiveness while minimizing systemic toxicity and adverse effects. However, its efficacy is limited by the low concentration of drugs at action sites, which is caused by no specific target to tumor sties. Herein, hyaluronic acid (HA), a gooey, slippery substance with CD44-targeting ability, was conjugated with a thermosensitive polymer poly(acrylamide-co-acrylonitrile) to produce tumor-targeting and thermosensitive polymeric nanocarrier (HA-P) with an upper critical solution temperature (UCST) at 45 °C, which further coloaded chemo-drug doxorubicin (DOX) and photosensitizer Indocyanine green (ICG) to prepare thermosensitive nanoreactors HA-P/DOX&ICG. With photosensitizer ICG acting as the "temperature control element", HA-P/DOX&ICG nanoparticles can respond to temperature changes when receiving near-infrared irradiation and realize subsequent structure depolymerization for burst drug release when the ambient temperature was above 45 °C, achieving programmable and on-demand drug release for effective antitumor therapy. Tumor inhibition rate increased from 61.8 to 95.9% after laser irradiation. Furthermore, the prepared HA-P/DOX&ICG nanoparticles possess imaging properties, with ICG acting as a probe, enabling real-time monitoring of drug distribution and therapeutic response, facilitating precise treatment evaluation. These results provide enlightenment for the design of active tumor targeting and NIR-triggered programmable and on-demand drug release of thermosensitive nanoreactors for tumor therapy.

Biomarkers in Immune Checkpoint Inhibitor Cancer Treatment

Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy by offering durable responses for specific patient populations. The heterogeneity in results among individuals underscores the vital need for reliable predictive biomarkers to guide therapeutic strategies. This review aims to elucidate the current landscape of biomarkers in ICI therapy, focusing on their capability to predict patient responses and guide personalized cancer treatment. We examine both existing and emerging biomarkers—such as programmed death-ligand 1 (PD-L1) expression, tumor mutational burden, circulating tumor DNA, gene expression profiles, and the neutrophil-to-lymphocyte ratio—which provide critical insights into patient classification, therapeutic response monitoring, and identification of resistance mechanisms. Despite their potential, considerable challenges remain, including tumor heterogeneity, variability in biomarker testing, and the complexity and dynamic nature of biomarkers across different tumor types. Progress in multi-biomarker approaches and the use of artificial intelligence demonstrate potential for enhancing prediction precision and facilitating more personalized immunotherapy treatments. Additionally, this review summarizes completed and ongoing clinical trials investigating the effect of predictive biomarkers in directing ICI-based cancer treatments and their ability to tailor therapeutic strategies. In conclusion, the review provides an overview of the role of predictive biomarkers in response to ICI therapy.

Ovarian Cancer Diagnosis and Prognosis Based on Cell-Free DNA Methylation.

Background:Ovarian cancer stands as the deadliest malignant tumor within the female reproductive tract. As a result of the absence of effective diagnostic and monitoring markers, 75% of ovarian cancer cases are diagnosed at a late stage, leading to a mere 50% survival rate within five years. The advancement of molecular biology is essential for accurate diagnosis and treatment of ovarian cancer.Methods:A review of several randomized clinical trials, focusing on the ovarian cancer, was undertaken. The advancement of molecular biology and diagnostic methods related to accurate diagnosis and treatment of ovarian cancer were examined. Results:Liquid biopsy is an innovative method of detecting malignant tumors that has gained increasing attention over the past few years. Cell-free DNA assay-based liquid biopsies show potential in delineating tumor status heterogeneity and tracking tumor recurrence. DNA methylation influences a multitude of biological functions and diseases, especially during the initial phases of cancer. The cell-free DNA methylation profiling system has emerged as a sensitive and non-invasive technique for identifying and detecting the biological origins of cancer. It holds promise as a biomarker, enabling early screening, recurrence monitoring, and prognostic evaluation of cancer. Conclusions:This review evaluates recent advancements and challenges associated with cell-free DNA methylation analysis for the diagnosis, prognosis monitoring, and assessment of therapeutic responses in the management of ovarian cancers, aiming to offer guidance for precise diagnosis and treatment of this disease.

Ex vivo precision-cut liver slices model disease phenotype and monitor therapeutic response for liver monogenic diseases

Background In academic research and the pharmaceutical industry, in vitro cell lines and in vivo animal models are considered as gold standards in modelling diseases and assessing therapeutic efficacy. However, both models have intrinsic limitations, whilst the use of precision-cut tissue slices can bridge the gap between these mainstream models. Precision-cut tissue slices combine the advantage of high reproducibility, studying all cell sub-types whilst preserving the tissue matrix and extracellular architecture, thereby closely mimicking a mini-organ. This approach can be used to replicate the biological phenotype of liver monogenic diseases using mouse models. Methods Here, we describe an optimised and easy-to-implement protocol for the culture of sections from mouse livers, enabling its use as a reliable ex-vivo model to assess the therapeutic screening of inherited metabolic diseases Results We show that precision-cut liver sections can be a reliable model for recapitulating the biological phenotype of inherited metabolic diseases, exemplified by common urea cycle defects such as citrullinemia type 1 and argininosuccinic aciduria, caused by argininosuccinic synthase (ASS1) and argininosuccinic lyase (ASL) deficiencies respectively. Conclusions Therapeutic response to gene therapy such as messenger RNA replacement delivered via lipid nanoparticles can be monitored, demonstrating that precision-cut liver sections can be used as a preclinical screening tool to assess therapeutic response and toxicity in monogenic liver diseases.

Nanomaterial marvels: Pioneering applications and cutting-edge advancements in drug delivery

Nanotechnology has revolutionized the field of medicine, particularly in the development of novel drug delivery systems. Nanomaterial-based drug delivery systems offer several advantages over traditional methods, including enhanced therapeutic efficacy, improved bioavailability, targeted delivery, and reduced side effects. This review provides an overview of the applications and recent advancements in nanomaterial-based drug delivery systems. The first section of this review focuses on the different types of nanomaterials used in drug delivery, including liposomes, polymeric nanoparticles, dendrimers, carbon-based nanomaterials, and metallic nanoparticles. Each nanomaterial has unique physicochemical properties that can be tailored to optimize drug encapsulation, release, and targeting. The second section highlights the importance of nanoscale characterization techniques in evaluating the properties and performance of nanomaterial-based drug delivery systems. Characterization techniques such as dynamic light scattering, transmission electron microscopy, atomic force microscopy, and spectroscopic methods enable researchers to analyze particle size, morphology, surface charge, drug loading, and release kinetics. The third section discusses the application of nanomaterial-based drug delivery systems in various therapeutic areas, including cancer treatment, cardiovascular diseases, infectious diseases, and neurological disorders. These systems can be engineered to selectively accumulate at the target site, enhancing drug efficacy and minimizing off-target effects. The fourth section explores recent advancements in nanomaterial-based drug delivery systems, including stimulus-responsive and multifunctional nanocarriers. Stimuli-responsive systems can release drugs in response to specific triggers, such as changes in pH, temperature, or enzymatic activity, leading to site-specific drug release. Multifunctional nanocarriers combine drug delivery with diagnostic imaging, allowing real-time monitoring of drug distribution and therapeutic response. The final section addresses the challenges and future perspectives in the field of nanomaterial-based drug delivery systems. Challenges include regulatory considerations, toxicity concerns, scalability, and clinical translation. Future directions involve the development of personalized nanomedicine, combination therapy approaches, and integration with other emerging technologies, such as artificial intelligence and gene editing. In conclusion, nanomaterial-based drug delivery systems have shown great potential for improving the efficacy and safety of therapeutic interventions. The advancements in nanotechnology offer exciting opportunities for the development of next-generation drug delivery platforms, opening new avenues for personalized medicine and targeted therapies. However, further research and collaborations are required to address the challenges associated with clinical translation and ensure the safe and effective implementation of these systems in clinical practice.

Paired Circulating Tumor DNA in Cerebrospinal Fluid and Peripheral Blood: Reliable Technology for Diagnosing and Monitoring Primary and Secondary Central Nervous Lymphoma

Objective: This research delineates the temporal alterations of cell-free circulating tumor DNA (ctDNA) in the plasma and cerebrospinal fluid (CSF) of patients harboring primary and secondary central nervous system (CNS) lymphoma. The aim is to establish that CSF serves as a superior reservoir of ctDNA compared to plasma, thereby aiding in diagnostic processes and monitoring therapeutic efficacy. Concurrently, this study underscores the enhanced response and survival rates in patients administered Bruton's tyrosine kinase (BTK) inhibitors over an extended period exceeding three months. Methods: Data including cranial-enhanced magnetic resonance imaging (MRI) scans, leukocyte and protein concentrations in the CSF, exfoliated CSF cytology, flow cytometry, interleukin-10 to interleukin-6 ratios, ctDNA in plasma and CSF, were gathered from patients presenting primary and secondary CNS lymphoma（7 PCNSL,9 SCNSL）. The temporal ctDNA modifications in plasma and CSF during the patient's disease progression-initial onset, remission, and relapse-were scrutinized. Additionally, the implications of BTK inhibitor usage on patient response rates and survival rates were assessed. Results: Within the cohort of primary CNS lymphoma patients, ctDNA was detected in the CSF and plasma of 2 and 5 patients, respectively. Conversely, in patients with secondary CNS lymphoma, CSF and plasma ctDNA were discovered in 8 and 4 cases, respectively. The detection rate was contingent upon the central lesion's magnitude and position and the patient's surgical history related to the brain. Four patients, including two from each group, underwent cranial-enhanced MRI to appraise tumor burden at various disease stages, simultaneously with the monitoring of ctDNA in plasma and CSF. It was revealed that ctDNA levels in the CSF were in synchrony with the tumor burden, whereas plasma ctDNA levels remained relatively static. This indicates that CSF ctDNA may serve as a viable tool to assess therapeutic responses in CNS lymphoma patients. In two patients where surgical biopsy was unfeasible and both CSF exfoliation cytology and flow cytometry returned negative results, CSF ctDNA was positive, thereby underscoring its auxiliary role in diagnosing CNS lymphoma. Furthermore, the study indicated improved response and survival rates in patients subjected to BTK inhibitors for over three months. Conclusion: CSF ctDNA demonstrates potential in detecting CNS lymphoma and in the dynamic monitoring of therapeutic responses. Compared to cranial-enhanced MRI, exfoliated CSF cytology, and flow cytometry, CSF ctDNA testing offers superior sensitivity. For patients for whom brain surgical biopsy is not an option, CSF ctDNA testing emerges as a valuable supplementary diagnostic tool. CSF ctDNA allows for dynamic monitoring of therapeutic responses in CNS lymphoma patients, enabling the detection of residual lesions, and thereby guiding the formulation and duration of the treatment regimen. Patients administered oral BTK inhibitors for more than three months demonstrate higher treatment response and survival rates.

Metabolomics Unveiled the Potential Role of N1-Acetylspermidine As a Biomarker in T-Lymphoblastic Lymphoma/Leukemia Monitoring

Objective: For adult patients with T lymphoblastic leukemia/lymphoma (T-ALL/LBL), current methods for therapeutic response monitoring based on bone marrow examinations lack convenience. A biomarker in blood with high sensitivity can make daily monitoring easier. Our team attempted to identify easily obtained and highly sensitive T-ALL/LBL tumor biomarkers through metabolomics, and meanwhile explore potential metabolic therapeutic targets. Methods: We performed non-targeted metabolomic analysis on archived plasma samples from 30 newly diagnosed T-ALL/LBL patients and matched controls from 2015-2018. Based on these results, we expanded the sample size to 50 patient and matched control plasmas for targeted metabolomic validation, and explored potential mechanisms using public databases. Results: A total of 90 differential compounds were detected in non-targeted analysis. Orthogonal partial least squares discriminant analysis showed that the metabolic patterns of the patients and the controls were significantly different (R2=0.915, Q2=0.723, pR2=0.010, PQ2=0.010). KEGG pathway enrichment showed that the detected differential compounds were involved in 41 known metabolic pathways, and the methionine metabolism pathway was highly ranked. Random forest analysis verified significant differentiation between cases and controls based on metabolic differences (ROC curve AUC=0.928, p<0.001), with acetylspermidine contributing most significantly. Targeted validation in the expanded cohort showed decreased methionine, increased methylthioadenosine, and significantly increased N1-acetylspermidine in patient plasma. All these three metabolites could be localized in methionine and related polyamine metabolism pathways, with N1-acetylspermidine upregulation particularly pronounced (fold change=3.590, p<0.001). Plasma N1-acetylspermidine alone could effectively differentiate patients from controls (ROC curve AUC=0.888, p<0.001). Public database records (GSE109231) suggested that upregulated spermidine synthase may explain this alteration in N1-acetylspermidine. Conclusion: N1-Acetylspermidine showed promising potential as a tumor biomarker for T-ALL/LBL therapeutic monitoring, while methionine and polyamine metabolism abnormalities may constitute new T-ALL/LBL metabolic therapeutic targets.

Self-calibrating surface-enhanced Raman scattering-lateral flow immunoassay for determination of amyloid-β biomarker of Alzheimer's disease

Rapid early diagnosis of Alzheimer's disease (AD) is critical for its effective and prompt treatment since the clinically available treatments can only relieve the symptoms or slow the disease progression. However, it is still a grand challenge to accurately diagnose AD at its early stage because of the indiscernible early symptoms and the lack of sensitive detection tools. Here, we develop a self-calibrating surface-enhanced Raman scattering (SERS)-lateral flow immunoassay (LFIA) biosensor for quantitative analysis of amyloid-β1-42 (Aβ1-42) biomarker in biofluids, enabling accurate AD diagnosis. The designed SERS-LFIA biosensor makes full use of the unique aspects of the LFIA format and the SERS technique to quantify the Aβ1-42 level in complex biofluids with high sensitivity, excellent anti-interference capability, low-cost, and operation simplicity. The key aspect of the design of this biosensor is that internal standard (IS)-SERS nanoparticles are embedded in the test line of the test strip as a self-calibration unit for correction of fluctuations of SERS signals caused by various external factors such as test parameters and sample heterogeneity. We demonstrate significant improvement of the detection performance of the SERS-LFIA biosensor for ratiometric quantification of Aβ1-42 owing to the built-in IS in the test line. We expect that the present IS-based biosensing strategy provides a promising tool for accurate AD diagnosis and longitudinal monitoring of therapeutic response with great promises for clinical translation.

Blood-Based Diagnostic Assay for λ Light Chain Amyloidosis through Quantification of an Amyloidogenicity-Indicating Neo-Epitope

Light chain amyloidosis (AL) is a rare, progressive, and often fatal protein misfolding disease. AL is caused by aberrant clonal plasma cell proliferation, where excess amounts of amyloidogenic monoclonal Free Light Chain (FLC) are produced, secreted into the circulation, misfolded and deposted as amyloid fibrils in various vital organs, such as the heart, kidney, liver, and nerves. The involed lambda (λ) FLC accounts for ~75% of all AL cases. Amyloidogenic FLCs (aFLCs) are believed to be the toxic species contributing to AL disease pathology. Specific quantification of aFLCs can provide critical guidance in clinical practice but has been hampered by the LCs sequence diversity as well as the lack of tests that are able to differentiate between circulating normal polyclonal FLCs and aFLCs. Contrary to non-amyloidogenic, aFLCs are kinetically and oftentimes thermodynamically unstable. aFLCs are prone to misfolding and formation of pathogenic conformations such as non-native structures, proteolytic fragments, soluble aggregates, and amyloid fibrils. We exploited such characteristics of aFLCs by applying limited proteolysis using Proteinase K, where less stable λ aFLC proteins readily yield a 23KDa fragment composed of the homodimeric LC constant domain (dLCCD) linked by a disulfide bond. Formation of the dLCCD fragment reveals a highly conserved, novel, cryptic epitope at the N-terminus of the fragment. We have generated monoclonal antibodies (mAbs) that explicitly bind to such novel epitope and developed immunoassays for the specific detection and sensitive quantification of λ aFLCs in biological samples. Western blot or Meso Scale Discovery (MSD) analyses were employed to detect and quantify dLCCD signal using the dLCCD mAbs on plasma samples from randomly selected, treatment naïve and λ-restricted cases with biopsy-proven AL amyloidosis before and after exposure to optimized proteolytic conditions. Tissue amyloid deposits of λ-type were confirmed in most AL cases. Informed consent for data and plasma sample collections were obtained from the Institutional Review Boards and in accordance with the Declaration of Helsinki. Multiple myeloma (MM) plasma samples of unknown LC restriction type, treatment or amyloid deposits status and normal volunteer control samples were purchased from BioIVT (USA). A set of representative results based on three runs are shown in Fig. 1. As little as 2 µL of biofluid was used for each assay. Upon limited proteolysis, dLCCD signal was detected in 32 of 35 AL plasmas, including two samples from patients with AL-associated IgM lymphoplasmacytic lymphoma (LPL). Of the three dLCCD negative AL samples, one presented with monoclonal IgAλ, and two cases were bi-clonal on serum immunofixation electrophoresis. dLCCD signal was not detected in 18 of 19 MM plasma samples. Similarly, dLCCD signal was undetectable in 23 normal plasmas. Overall, the dLCCD signals detected in AL plasmas were 10x-200x above that of normal control and most MM samples (Fig. 1). The low limit of quantification of the MSD assay was ~0.4 ng/dL (1.4 pM), with >500x dynamic range, enabling sensitive and robust quantification of λ aFLCs in biosamples. Analysis of Proteinase K recognition potential of the cleavage site of 389 λ LC sequences from the AL-Base, a database of amyloidogenic LC sequences (https://wwwapp.bumc.bu.edu/BEDAC_ALBase/) predicted that the dLCCD assay can detect λ aFLCs in up to 99% of λ AL patients, irrespective of the FLC sequences. This was confirmed with the 100% detection rate of the dLCCD signal in a validation cohort of 35 additional monoclonal λ-restricted AL samples. In summary, we have developed a quantitative blood-based immunoassay that is sensitive and highly specific for λ aFLC irrespective of the protein sequences. The preliminary data demonstrates the potential of our assay for AL diagnostics. Additional clinical applications for future exploration will include (i) monitoring and early detection of AL amyloidosis in plasma cell dyscrasias (monoclonal gammopathy of unknown significance, MM, and smoldering MM) and lymphoproliferative disorders, including LPL; and (ii) clinical management of patients with AL amyloidosis via the assessment and monitoring of minimal residual disease and therapeutic responses. The utility of the dLCCD assay in the quantification of λ aFLCs in bi-clonal AL cases warrants further investigation.