Newer Biomarkers in Gallbladder Carcinoma: A Scoping Review DOI Open Access
Amitabh Kumar Upadhyay, Deb Sanjay Nag,

Sanghamitra Jena

и другие.

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Дек. 5, 2024

Biomarkers have the potential to play a crucial role in managing gallbladder cancer post-surgery. They can identify patients more likely experience recurrence, allowing oncologists tailor intensive surveillance plan and consider additional therapies. Some biomarkers even predict how well patient will respond specific chemotherapy or targeted treatments. By monitoring these biomarkers, clinicians track effective ongoing treatment is detect any signs of early recurrence. Various like tumor markers, genetic genomic epigenetic are being investigated. The goal find most reliable accurate enhance care outcomes. Integrating biomarker data into plans help personalize therapy make better informed decisions. identifying which benefit from treatments, improve long-term survival rates significantly. This scoping review discusses newer carcinoma; some them clinical use, while used research settings. provides broad insight practicing about present futuristic biomarkers.

Язык: Английский

Circulating Liquid Biopsy Biomarkers in Glioblastoma: Advances and Challenges DOI Open Access
Attila A. Seyhan

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(14), С. 7974 - 7974

Опубликована: Июль 21, 2024

Gliomas, particularly glioblastoma (GBM), represent the most prevalent and aggressive tumors of central nervous system (CNS). Despite recent treatment advancements, patient survival rates remain low. The diagnosis GBM traditionally relies on neuroimaging methods such as magnetic resonance imaging (MRI) or computed tomography (CT) scans postoperative confirmation via histopathological molecular analysis. Imaging techniques struggle to differentiate between tumor progression treatment-related changes, leading potential misinterpretation delays. Similarly, tissue biopsies, while informative, are invasive not suitable for monitoring ongoing treatments. These challenges have led emergence liquid biopsy, through blood samples, a promising alternative monitoring. Presently, cerebrospinal fluid (CSF) sampling offers minimally means obtaining tumor-related information guide therapy. idea that any biofluid tests can be used screen many cancer types has huge potential. Tumors release various components into bloodstream other biofluids, including cell-free nucleic acids microRNAs (miRNAs), circulating DNA (ctDNA), cells (CTCs), proteins, extracellular vesicles (EVs) exosomes, metabolites, factors. factors been shown cross blood-brain barrier (BBB), presenting an opportunity well real-time assessment distinct genetic, epigenetic, transcriptomic, proteomic, metabolomic changes associated with brain tumors. their potential, clinical utility biopsy-based biomarkers is somewhat constrained by limitations absence standardized methodologies CSF collection, analyte extraction, analysis methods, small cohort sizes. Additionally, biopsies offer more precise insights morphology microenvironment. Therefore, objective biopsy should complement enhance diagnostic accuracy patients providing additional alongside traditional biopsies. Moreover, utilizing combination diverse biomarker may effectiveness compared solely relying one category, potentially improving sensitivity specificity addressing some existing GBM. This review presents overview latest research found in discusses diagnostic, predictive, prognostic indicators, future perspectives.

Язык: Английский

Процитировано

13

An interactive atlas of genomic, proteomic, and metabolomic biomarkers promotes the potential of proteins to predict complex diseases DOI Creative Commons
Martin Smelik, Yelin Zhao, Xinxiu Li

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июнь 3, 2024

Abstract Multiomics analyses have identified multiple potential biomarkers of the incidence and prevalence complex diseases. However, it is not known which type biomarker optimal for clinical purposes. Here, we make a systematic comparison 90 million genetic variants, 1453 proteins, 325 metabolites from 500,000 individuals with diseases UK Biobank. A machine learning pipeline consisting data cleaning, imputation, feature selection, model training using cross-validation results on holdout test sets showed that proteins were most predictive, followed by metabolites, variants. Only five per disease resulted in median (min–max) areas under receiver operating characteristic curves 0.79 (0.65–0.86) 0.84 (0.70–0.91) prevalence. In summary, our work suggests predicting based limited number proteins. We provide an interactive atlas (macd.shinyapps.io/ShinyApp/) to find genomic, proteomic, or metabolomic different

Язык: Английский

Процитировано

4

Comparative Analysis of Transcriptomic and Proteomic Expression between Two Non-Small Cell Lung Cancer Subtypes DOI Creative Commons
Ben Nicholas, A.G. Bailey, Katy J. McCann

и другие.

Journal of Proteome Research, Год журнала: 2025, Номер 24(2), С. 729 - 741

Опубликована: Янв. 8, 2025

Non-small cell lung cancer (NSCLC) is frequently diagnosed late and has poor survival. The two predominant subtypes of NSCLC, adenocarcinoma (LUAD) squamous carcinoma (LUSC), are currently differentially using immunohistochemical markers; however, they increasingly recognized as very different types suggestive potential for new, more targeted therapies. There extensive efforts to find precise noninvasive differential diagnostic tools. Here, we examined these NSCLC differences that may inform treatment identify novel therapeutic pathways. We presented a comparative analysis transcriptomic proteomic expression in tumors from cohort 22 patients: 8 LUSC 14 LUAD. Comparing subtypes, found gene related differentiation cellular structure immune response regulation Differential protein between was extracellular metabolic processes, including glucose metabolism This direct comparison informative about subtype-specific pathways than each subtype control (nontumor) tissues. Many our observations support existing reveal aid research seeking validate biomarkers or druggable targets.

Язык: Английский

Процитировано

0

Prospective and genetic analyses implicate lower immunosurveillance in the aetiology of prostate cancer DOI Creative Commons
Karl Smith-Byrne, Mahboubeh Parsaeian, Wing Ching Chan

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Янв. 13, 2025

Abstract Tumour promoting inflammation and the ability to evade immune destruction are two of hallmarks cancer, but there is limited prospective evidence for role specific immune-related pathways protein markers in development prostate cancer. This study used data on circulating levels 368 proteins (Olink Explore Inflammation I panel) from a nested case-control design within European Prospective Investigation into Cancer Nutrition (EPIC), including 1,434 men who developed cancer matched controls − 488 cases also had clinically aggressive disease. Conditional logistic regression was estimate associations with risk EPIC, per standard deviation effective number tests (ENT) control multiple testing. We additionally performed an inverse-variance weighted meta-analysis combining these estimated EPIC those 21,481 UK Biobank (UKBB), whom 1,147 Logistic exome score association UKBB replication analyses were Multiethnic Cohort (MEC). Mendelian randomisation colocalisation using 79,148 overall PRACTICAL consortium conducted aid triangulation. In no inflammatory associated or more subtypes after correction + meta-analyses, FLT3LG CNTNAP2 significantly (RRMeta:0.88, 95%CI:0.84–0.92 RRMeta:1.10, 95%CI:1.05–1.16, respectively), stratified by time diagnosis, IL15 diagnosed than seven years blood draw (RRMeta:0.86, 95%CI:0.81–0.93), along five other (FLT3LG, BCL2L11, PGF, CKAP4, TNFRSF11A). Exome scores provided some support identified PARP1 as increased (OR:1.05, 95%CI:1.02–1.07), which replicated MEC (OR:1.04, 95%CI:1.01–1.08). MR SPINT2 (OR:2.11, 95%CI:1.70–2.63) NME3 (OR:1.25, 95%CI:1.11–1.41) being overall. Our findings suggest higher involved immunosurveillance pathways, recruitment activation natural killer T cells, may be linked lower developing while inhibition relevant prevention.

Язык: Английский

Процитировано

0

Potentialities and critical issues of liquid biopsy in clinical practice: An umbrella review DOI
Nicola Veronese, Claudio Luchini, Stefano Ciriminna

и другие.

Translational Oncology, Год журнала: 2025, Номер 52, С. 102172 - 102172

Опубликована: Янв. 15, 2025

Язык: Английский

Процитировано

0

Identifying Novel Drug Targets for Calcific Aortic Valve Disease through Mendelian Randomization DOI
D. Xu, Jin Lü,

Yanfang Yang

и другие.

Atherosclerosis, Год журнала: 2025, Номер unknown, С. 119110 - 119110

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Plasma proteins mediate the effects of the gut microbiota on the development of head and neck cancer: a two-sample and mediated Mendelian randomized study DOI Creative Commons
Jianyu Rao, Wenda Zhang, Chenyu Zha

и другие.

Discover Oncology, Год журнала: 2025, Номер 16(1)

Опубликована: Фев. 19, 2025

Although previous observational studies have highlighted a possible association between the gut microbiota (GM) and head neck cancer (HNC), causal relationships remain unclear, particularly regarding role of plasma proteins as potential mediators. Clarifying these connections is essential for uncovering underlying mechanisms HNC progression may lead to new therapeutic strategies. First, we examined link GM via two-sample Mendelian randomization (MR) approach. We then investigated causative same MR technique. The coefficient product approach was used clarify in pathway HNC. Finally, sensitivity investigations were performed assess robustness coherence results. analyses revealed protective effects one family six genera on (Lachnospiraceae, Parabacteroides, Phascolarctobacterium, Alistipes, Sutterella, Roseburia Alloprevotella). In contrast, three (Ruminococcus, Prevotella Bacteroides) significantly positively associated with risk. Through further examination, researchers discovered 18 that relationship Notably, mediation illustrated effect OTU97_86 (Phascolarctobacterium) (total IVW: OR = 0.879, 95% 0.810–0.954, p 0.002) mediated by Proteasome subunit alpha type-1 (PSMA1) (− 0.020, CI − 0.039 ~ 0.001, 0.036), accounting 15.25% total effect. Similarly, OTU99_35 (Ruminococcus) risk 1.109, 1.027–1.198, 0.008) protein FAM107B (0.015, 0.001–0.029, 0.031), 14.69% analysis specific GMs influence through proteins: Phascolarctobacterium protects against PSMA1, whereas Ruminococcus increases FAM107B. These pathways suggest preventative factor factor. This highlights possibility using biomarkers or targets prevention, diagnosis, treatment.

Язык: Английский

Процитировано

0

Extracellular vesicles as dynamic biomarkers: Monitoring therapeutic responses and drug resistance in cancer DOI
Shaimaa A. Gouhar, Zakaria Y. Abd Elmageed, Sherien M. El‐Daly

и другие.

International review of cell and molecular biology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Association of circulating metabolic biomarkers with risk of lung cancer: a population-based prospective cohort study DOI Creative Commons
Lan Wu,

Jun Yang,

Yu Chen

и другие.

BMC Medicine, Год журнала: 2025, Номер 23(1)

Опубликована: Март 26, 2025

Язык: Английский

Процитировано

0

Genetic associations of plasma proteins and breast cancer identify potential therapeutic drug candidates DOI Creative Commons
Liuliu Quan,

Xin Luo,

Chenxu Meng

и другие.

Communications Biology, Год журнала: 2025, Номер 8(1)

Опубликована: Апрель 15, 2025

Язык: Английский

Процитировано

0