Journal Of Biochemical Technology, Journal Year: 2024, Volume and Issue: 15(4), P. 1 - 2
Published: Jan. 1, 2024
Language: Английский
CA A Cancer Journal for Clinicians, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 22, 2025
Abstract Next‐generation sequencing has revealed the disruptive reality that advanced/metastatic cancers have complex and individually distinct genomic landscapes, necessitating a rethinking of treatment strategies clinical trial designs. Indeed, molecular reclassification cancer suggests it is underpinnings disease, rather than tissue origin, mostly drives outcomes. Consequently, oncology trials evolved from standard phase 1, 2, 3 tissue‐specific studies; to tissue‐specific, biomarker‐driven trials; tissue‐agnostic untethered histology (all drug‐centered designs ); and, ultimately, patient‐centered , N‐of‐1 precision medicine studies in which each patient receives personalized, biomarker‐matched therapy/combination drugs. Innovative technologies beyond genomics, including those address transcriptomics, immunomics, proteomics, functional impact, epigenetic changes, metabolomics, are enabling further refinement customization therapy. Decentralized potential improve access approaches for underserved minorities. Evaluation real‐world data, assessment patient‐reported outcomes, use registry protocols, interrogation exceptional responders, exploitation synthetic arms all contributed personalized therapeutic approaches. With greater 1 × 10 12 patterns alterations 4.5 million possible three‐drug combinations, deployment artificial intelligence/machine learning may be necessary optimization individual therapy near future, also permit discovery new treatments real time.
Language: Английский
Citations
3
Cancer Reports, Journal Year: 2023, Volume and Issue: 6(3)
Published: Feb. 21, 2023
Abstract Background Oncogenic transformation alters intracellular metabolism and contributes to the growth of malignant cells. Metabolomics, or study small molecules, can reveal insight about cancer progression that other biomarker studies cannot. Number metabolites involved in this process have been spotlight for detection, monitoring, therapy. Recent Findings In review, “Metabolomics” is defined terms current technology having both clinical translational applications. Researchers shown metabolomics be used discern metabolic indicators non‐invasively using different analytical methods like positron emission tomography, magnetic resonance spectroscopic imaging etc. Metabolomic profiling a powerful technically feasible way track changes tumor gauge treatment response across time. also predict individual treatment, measure medication efficacy, monitor drug resistance. Its significance development summarized review. Conclusion Although infancy, identify options and/or responsiveness treatments. Technical challenges database management, cost methodical knowhow still persist. Overcoming these near further help designing new régimes with increased sensitivity specificity.
Language: Английский
Citations
16
ACS Sensors, Journal Year: 2024, Volume and Issue: 9(8), P. 4236 - 4247
Published: July 19, 2024
In the intricate landscape of tumor microenvironment, both cancer and stromal cells undergo rapid metabolic adaptations to support their growth. Given relevant role secretome in fueling progression, its unique characteristics have gained prominence as potential biomarkers therapeutic targets. As a result, accurate tools been developed track changes microenvironment with high sensitivity resolution. Surface-enhanced Raman scattering (SERS) is highly sensitive analytical technique has proven efficient toward detection metabolites biological media. However, profiling secreted complex cellular environments such those tumor–stroma 3D vitro models remains challenging. To address this limitation, we employed SERS-based strategy investigate pancreatic within cultures. We aimed monitor immunosuppressive stratified cancer–stroma spheroids compared cultures either or cancer-associated fibroblasts, focusing on conversion tryptophan into kynurenine by IDO-1 enzyme. additionally sought elucidate dynamics consumption correlation size, temporal evolution, composition spheroids, well assessing effects different drugs targeting machinery. confirm that SERS can be valuable tool optimization connection metabolizing capacity, potentially allowing high-throughput spheroid analysis.
Language: Английский
Citations
4
Current Pharmacology Reports, Journal Year: 2025, Volume and Issue: 11(1)
Published: Feb. 6, 2025
In this review article, specific emphasis is on evolution of metabolomics in cancer research, workflow, general understanding liquid chromatography - mass spectrometry (LC-MS) based platform for quantitation metabolites, their biological interpretation and the application carcinogenesis prevention by dietary phytochemicals. Metabolomics increasingly becoming a preferred approach next generation metabolic screening has profound impact medical practice. describes end products biochemical processes which are greatly influenced genetic environmental factors. Metabolic alterations can be linked to potential reactions/enzymes corresponding genes. Thus, these results further validated via multi-omics including genomics, transcriptomics proteomics. However, challenges exist within between omic-domain data integration considering complex regulation organism versus tissue cellular level processes, epigenetics, transcriptional post translational modifications. reflect steady state or dynamic metabolism because metabolites highly space time. Metabolomic analysis samples exhibit possibility determine mechanism action anti-cancer agents, biomarker discovery alterations.
Language: Английский
Citations
0
Cells, Journal Year: 2025, Volume and Issue: 14(5), P. 367 - 367
Published: March 2, 2025
This study investigates the metabolic responses of cancerous (RCC) and non-cancerous (HK2) kidney cells to treatment with Staurosporine (STAU), which has a pro-apoptotic effect, Bongkrekic acid (BKA), an anti-apoptotic individually in combination, using 1H NMR metabolomics identify metabolite markers linked mitochondrial apoptotic pathways. BKA had minimal effects RCC cells, suggesting its role preserving function without significantly altering In contrast, STAU induced substantial reprogramming disrupting energy production, redox balance, biosynthesis, thereby triggering The combined primarily mirrored alone, showing little capacity counteract effects. HK2 alterations were far less pronounced, highlighting key differences cells. displayed greater flexibility, while maintained more regulated state. These findings emphasize potential for targeting cancer-specific vulnerabilities sparing underscoring value understanding mechanisms. Future studies should validate these results vivo explore their personalized strategies.
Language: Английский
Citations
0
Metabolites, Journal Year: 2025, Volume and Issue: 15(3), P. 174 - 174
Published: March 3, 2025
Background/Objectives: Metabolomics has recently emerged as a key tool in the biological sciences, offering insights into metabolic pathways and processes. Over last decade, network-based machine learning approaches have gained significant popularity application across various fields. While several studies utilized metabolomics profiles for sample classification, many remain unexplored metabolomic-based classification tasks. This study aims to compare performance of approaches, including developed methods, metabolomics-based classification. Methods: A standard data preprocessing procedure was applied 17 metabolomic datasets, Bayesian neural network (BNN), convolutional (CNN), feedforward (FNN), Kolmogorov-Arnold (KAN), spiking (SNN) were evaluated on each dataset. The datasets varied widely size, mass spectrometry method, response variable. Results: With respect AUC test data, BNN, CNN, FNN, KAN, SNN top-performing models 4, 1, 5, 3, 4 respectively. Regarding F1-score, BNN (3 datasets), CNN FNN (4 KAN datasets). For accuracy, performed best Conclusions: No modeling approach consistently outperformed others metrics AUC, or accuracy. Our results indicate that while no single is superior tasks, may be underappreciated underutilized relative more commonly used FNN.
Language: Английский
Citations
0
Cancers, Journal Year: 2023, Volume and Issue: 15(22), P. 5465 - 5465
Published: Nov. 18, 2023
Prostate cancer is a significant global health concern, and its prevalence increasing worldwide. Despite extensive research efforts, the complexity of disease remains challenging with respect to fully understanding it. Metabolomics has emerged as powerful approach prostate by assessing comprehensive metabolite profiles in biological samples. In this study, metabolic patients benign prostatic hyperplasia (BPH), (PCa), metastatic (Met) were characterized using an untargeted that included metabolomics lipidomics via liquid chromatography gas coupled high-resolution mass spectrometry. Comparative analysis among these groups revealed distinct profiles, primarily associated lipid biosynthetic pathways, such biosynthesis unsaturated fatty acids, acid degradation elongation, sphingolipid linoleic metabolism. PCa showed lower levels amino glycerolipids, glycerophospholipids, sphingolipids, carnitines compared BPH patients. Compared Met patients, had reduced metabolites glycerolipid, glycerophospholipid, groups, along increased acids carbohydrates. These altered provide insights into underlying pathways cancer's progression, potentially aiding development new diagnostic, therapeutic strategies.
Language: Английский
Citations
8
npj Metabolic Health and Disease, Journal Year: 2024, Volume and Issue: 2(1)
Published: Sept. 2, 2024
Breast cancer is the most prevalent among women in United States, representing ~30% of all new female cases annually. For year 2024, it estimated that 310,720 instances invasive breast will be diagnosed, and responsible for over 42,000 deaths women. Today, despite availability numerous treatments its symptoms, cancer-related result from metastasis which there no treatment. This emphasizes importance early detection treatment before spreads. initial staging cancer, clinicians routinely employ mammography ultrasonography, which, while effective broad screening, have limitations sensitivity specificity. Advanced biomarkers could significantly enhance precision detection, enable more accurate monitoring disease evolution, facilitate development personalized plans tailored to specific molecular profile each tumor. would not only improve therapeutic outcomes, but also help avoiding overtreatment associated side effects, thereby improving quality life patients. Thus, pursuit novel biomarkers, potentially encompassing metabolomic lipidomic signatures, essential advancing diagnosis In this brief review, we provide an overview current translational potential metabolic predicting prognosis response therapy.
Language: Английский
Citations
2
Metabolomics, Journal Year: 2024, Volume and Issue: 20(5)
Published: Oct. 7, 2024
Language: Английский
Citations
2
Metabolites, Journal Year: 2024, Volume and Issue: 14(2), P. 107 - 107
Published: Feb. 5, 2024
Metabolic profiling is a powerful modern tool in searching for novel biomarkers and indicators of normal or pathological processes the body [...]
Language: Английский
Citations
1