Esophageal cancer screening, early detection and treatment: Current insights and future directions

World Journal of Gastrointestinal Oncology, Год журнала: 2024, Номер 16(4), С. 1180 - 1191

Опубликована: Апрель 9, 2024

Esophageal cancer ranks among the most prevalent malignant tumors globally, primarily due to its highly aggressive nature and poor survival rates. According 2020 global statistics, there were approximately 604000 new cases of esophageal cancer, resulting in 544000 deaths. The 5-year rate hovers around a mere 15%-25%. Notably, distinct variations exist risk factors associated with two primary histological types, influencing their worldwide incidence distribution. Squamous cell carcinoma displays high specific regions, such as certain areas China, where it meets cost-effectiveness criteria for widespread endoscopy-based early diagnosis within local population. Conversely, adenocarcinoma (EAC) represents common subtype Europe United States. role EAC originating from Barrett's esophagus (BE) remains subject controversy. effectiveness detection EAC, particularly those arising BE, continues be debated topic. how early-stage is treated different regions are largely differing rates diagnoses. In higher incidences, China Japan, more common, which has led advancement endoscopic methods definitive treatments. These techniques have demonstrated remarkable efficacy minimal complications while preserving functionality. Early screening, prompt diagnosis, timely treatment key strategies that can significantly lower both occurrence death cancer.

Язык: Английский

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A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology

Briefings in Functional Genomics, Год журнала: 2024, Номер 23(5), С. 549 - 560

Опубликована: Апрель 10, 2024

Multi-omics data play a crucial role in precision medicine, mainly to understand the diverse biological interaction between different omics. Machine learning approaches have been extensively employed this context over years. This review aims comprehensively summarize and categorize these advancements, focusing on integration of multi-omics data, which includes genomics, transcriptomics, proteomics metabolomics, alongside clinical data. We discuss various machine techniques computational methodologies used for integrating distinct omics datasets provide valuable insights into their application. The emphasizes both challenges opportunities present integration, medicine patient stratification, offering practical recommendations method selection scenarios. Recent advances deep network-based are also explored, highlighting potential harmonize information layers. Additionally, we roadmap oncology, outlining advantages, implementation difficulties. Hence offers thorough overview current literature, providing researchers with particularly oncology. Contact: [email protected].

Язык: Английский

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MR-linac: role of artificial intelligence and automation

Strahlentherapie und Onkologie, Год журнала: 2025, Номер unknown

Опубликована: Янв. 22, 2025

Abstract The integration of artificial intelligence (AI) into radiotherapy has advanced significantly during the past 5 years, especially in terms automating key processes like organ at risk delineation and treatment planning. These innovations have enhanced consistency, accuracy, efficiency clinical practice. Magnetic resonance (MR)-guided linear accelerators (MR-linacs) greatly improved accuracy real-time plan adaptation, particularly for tumors near radiosensitive organs. Despite these improvements, MR-guided (MRgRT) remains labor intensive time consuming, highlighting need AI to streamline workflows support rapid decision-making. Synthetic CTs from MR images automated contouring planning will reduce manual processes, thus optimizing times expanding access MR-linac technology. AI-driven quality assurance ensure patient safety by predicting machine errors validating delivery. Advances intrafractional motion management increase treatment, imaging biomarkers outcome prediction early toxicity assessment enable more precise effective strategies.

Язык: Английский

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Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell Biology

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(5), С. 2074 - 2074

Опубликована: Фев. 27, 2025

This article reviews the impact of single-cell sequencing (SCS) on cancer biology research. SCS has revolutionized our understanding and tumor heterogeneity, clonal evolution, complex interplay between cells microenvironment. provides high-resolution profiling individual in genomic, transcriptomic, epigenomic landscapes, facilitating detection rare mutations, characterization cellular diversity, integration molecular data with phenotypic traits. The multi-omics provided a multidimensional view states regulatory mechanisms cancer, uncovering novel therapeutic targets. Advances computational tools, artificial intelligence (AI), machine learning have been crucial interpreting vast amounts generated, leading to identification new biomarkers development predictive models for patient stratification. Furthermore, there emerging technologies such as spatial transcriptomics situ sequencing, which promise further enhance microenvironment organization interactions. As its related continue advance, they are expected drive significant advances personalized diagnostics, prognosis, therapy, ultimately improving outcomes era precision oncology.

Язык: Английский

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Theranostic digital twins: Concept, framework and roadmap towards personalized radiopharmaceutical therapies

Theranostics, Год журнала: 2024, Номер 14(9), С. 3404 - 3422

Опубликована: Янв. 1, 2024

Radiopharmaceutical therapy (RPT) is a rapidly developing field of nuclear medicine, with several RPTs already well established in the treatment different types cancers.However, current approaches to often follow somewhat inflexible "one size fits all" paradigm, where patients are administered same amount radioactivity per cycle regardless their individual characteristics and features.This approach fails consider inter-patient variations radiopharmacokinetics, radiation biology, immunological factors, which can significantly impact outcomes.To address this limitation, we propose development theranostic digital twins (TDTs) personalize based on actual patient data.Our proposed roadmap outlines steps needed create refine TDTs that optimize dose tumors while minimizing toxicity organs at risk.The TDT models incorporate physiologically-based radiopharmacokinetic (PBRPK) models, additionally linked radiobiological optimizer an modulator, taking into account factors influence RPT response.By using envisage ability perform virtual clinical trials, selecting therapies towards improved outcomes risks associated secondary effects.This framework could empower practitioners ultimately develop tailored solutions for subgroups patients, thus improving precision, accuracy, efficacy treatments patients.By incorporating RPTs, pave way new era precision medicine cancer treatment.

Язык: Английский

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Unraveling the complexities of colorectal cancer and its promising therapies – An updated review

International Immunopharmacology, Год журнала: 2024, Номер 143, С. 113325 - 113325

Опубликована: Окт. 14, 2024

Язык: Английский

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A deep contrastive multi-modal encoder for multi-omics data integration and analysis

Information Sciences, Год журнала: 2025, Номер 700, С. 121864 - 121864

Опубликована: Янв. 7, 2025

Язык: Английский

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Synergizing metabolomics and artificial intelligence for advancing precision oncology

Trends in Molecular Medicine, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

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Advanced segmentation method for integrating multi-omics data for early cancer detection

Egyptian Informatics Journal, Год журнала: 2025, Номер 29, С. 100624 - 100624

Опубликована: Фев. 15, 2025

Язык: Английский

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Artificial intelligence in early screening for esophageal squamous cell carcinoma

Best Practice & Research Clinical Gastroenterology, Год журнала: 2025, Номер unknown, С. 102004 - 102004

Опубликована: Март 1, 2025

Язык: Английский

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