Latest advances in hepatocellular carcinoma management and prevention through advanced technologies

Egyptian Liver Journal, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 2, 2024

Abstract Background Hepatocellular carcinoma (HCC) is a common type of liver cancer, with high mortality rate. cancer that can be effectively managed through early detection and accurate diagnosis, followed by personalized treatment plan may include surgical resection, transplantation, minimally-invasive techniques, immunotherapy, or targeted therapy depending on the stage severity cancer. Main body abstract This paper discusses recent advances in detection, management, prevention HCC. The use newer imaging such as Magnetic resonance (MRI) contrast-enhanced ultrasound, along image segmentation technology deep learning models, have greatly enhanced accuracy HCC diagnosis. Minimally-invasive thermal ablation radiofrequency ablation, allowed for more precise destruction tumors, while Nanoparticles, immunotherapy shown promise management advanced Artificial intelligence (AI) machine has revolutionized research, aiding identification high-risk patients predicting outcomes. Lifestyle modifications, weight alcohol avoidance, hepatitis B vaccinations, play critical role preventing development. Short conclusion Recent improving patient therapy, AI research lifestyle modifications prevention. However, further required to fully understand potential benefits nanoparticles, traditional Chinese medicine herbal medicines treatment. Graphical

Language: Английский

---

Non-coding RNA mediated regulation of PI3K/Akt pathway in hepatocellular carcinoma: Therapeutic perspectives

Pathology - Research and Practice, Journal Year: 2024, Volume and Issue: 258, P. 155303 - 155303

Published: April 28, 2024

Language: Английский

---

Biomarker discovery in hepatocellular carcinoma (HCC) for personalized treatment and enhanced prognosis

Cytokine & Growth Factor Reviews, Journal Year: 2024, Volume and Issue: 79, P. 29 - 38

Published: Aug. 24, 2024

Language: Английский

---

A multitask deep learning radiomics model for predicting the macrotrabecular-massive subtype and prognosis of hepatocellular carcinoma after hepatic arterial infusion chemotherapy

La radiologia medica, Journal Year: 2023, Volume and Issue: 128(12), P. 1508 - 1520

Published: Oct. 6, 2023

Abstract Background The macrotrabecular-massive (MTM) is a special subtype of hepatocellular carcinoma (HCC), which has commonly dismal prognosis. This study aimed to develop multitask deep learning radiomics (MDLR) model for predicting MTM and HCC patients’ prognosis after hepatic arterial infusion chemotherapy (HAIC). Methods From June 2018 March 2020, 158 eligible patients with who underwent surgery were retrospectively enrolled in related cohorts, 752 HAIC included cohorts during the same period. DLR features extracted from dual-phase (arterial phase venous phase) contrast-enhanced computed tomography (CECT) entire liver region. Then, an MDLR was used simultaneous prediction patient HAIC. prognostic risk stratification incorporated signatures, clinical variables subtype. Findings predictive performance 0.968 training cohort [TC], 0.912 internal test [ITC] 0.773 external [ETC], respectively. Multivariable analysis identified portal vein tumor thrombus (PVTT) ( p = 0.012), response < 0.001), sessions 0.001) as indicators poor After incorporating yielded best among all models (AUC, 0.855 TC, 0.805 ITC 0.792 ETC). With these variables, provided two strata overall survival (OS) TC: low (5-year OS, 44.9%) high 4.9%). Interpretation A tool based on developed consider that important factor patients. showed outstanding may help physicians therapeutic decision making surveillance strategy selection practice.

Language: Английский

---

New 2,4-diaryl-3-azabicyclo[3.3.1]nonan-9-one derivatives as antimicrobial and anti-cancer agents: Synthesis, in-vitro and SAR studies

Journal of Molecular Structure, Journal Year: 2023, Volume and Issue: 1294, P. 136516 - 136516

Published: Aug. 30, 2023

Language: Английский

---

Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation

Jurnal Online Informatika, Journal Year: 2024, Volume and Issue: 9(1), P. 70 - 79

Published: April 26, 2024

This study aims to provide an overview of the current state-of-the-art applications artificial intelligence (AI) and machine learning in management hepatocellular carcinoma (HCC), explore future directions for continued progress this emerging field. is a comprehensive literature review that synthesizes recent findings advancements application AI techniques across various aspects HCC care, including screening early detection, diagnosis staging, prognostic modeling, treatment planning, interventional guidance, monitoring response. The draws upon wide range published research studies, focusing on integration with diverse data sources, such as medical imaging, clinical data, genomics, other multimodal information. results demonstrate AI-based systems have shown promise improving accuracy efficiency screening, diagnosis, tumor characterization compared traditional methods. Machine models integrating clinical, genomic outperformed conventional staging predicting survival recurrence risk. recommendation potential optimize personalized therapy selection, while augmented reality can guide procedures real-time. Moreover, longitudinal may enhance assessment response monitoring. Despite these promising findings, highlights need rigorous multicenter prospective validation standardized datasets, thoughtful consideration ethical implications before widespread implementation technologies management.

Language: Английский

---

Unlocking the potential of gold nanoparticles as a game-changer in the fight against hepatocellular carcinoma

Exploration of Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

According to research, hepatocellular carcinoma (HCC), ranks third globally in terms of cause death and is the fifth most common type cancer overall. Finding novel means diagnosis treatment therefore crucial. The use nanotechnology as a has drawn lot interest recently. Despite significant advancements detection treatment, there still long way go before this disease completely eradicated. Therefore, it’s critical find innovative ways diagnose cure conditions. In particular, substantial inertness metallic nanoparticles (NPs) their nanoscale structures, which have sizes comparable many biological molecules, attract great deal biomedical field. Due exceptional optical qualities, chemically modified surface through attachment various ligands, biocompatibility (bio-inertness low cytotoxicity), superior properties, gold NPs (AuNPs) garnered interest. current review discusses efficiency AuNPs fields, including imaging, immunotherapy, photothermal therapy for treating liver cancer. Finally, summarized limitations prospects AuNPs.

Language: Английский

---

Integrating artificial intelligence into multidisciplinary evaluations of HCC: opportunities and challenges

Hepatoma Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer and a leading cause of cancer-related mortality globally. The heterogeneity HCC complicates prognostic, management, predictive strategies across different patient populations. Recent advancements in artificial intelligence (AI) machine learning (ML) offer transformative opportunities to improve management. This review consolidates findings from various studies regarding integrating AI detecting, diagnosing, treating HCC, leveraging diverse data sources such as radiological imaging, genomics, clinical records. AI-based approaches have shown potential accuracy efficiency screening, early detection, tumor characterization, treatment response evaluation, surpassing traditional methods. However, deployment technologies hindered by challenges, including standardization, validation multiple centers, ethical considerations applications. emphasizes need establish comprehensive multimodal datasets collaborative research efforts validate applications By addressing these integration technology has revolutionize care, ultimately improved outcomes more personalized approach strategies.

Language: Английский

---

Toolbox for creating three-dimensional liver models

Biochemical and Biophysical Research Communications, Journal Year: 2024, Volume and Issue: 731, P. 150375 - 150375

Published: July 9, 2024

Language: Английский

---

Advancing Cancer Therapy: A Review of Recent Progress in Monoclonal Antibodies

Asian Journal of Advances in Research, Journal Year: 2024, Volume and Issue: 7(1), P. 159 - 173

Published: April 24, 2024

A new era in cancer treatment has begun with the development of monoclonal antibodies (mAbs), which have improved therapeutic results and precision targeting to a great extent. Specialized (mAbs) are engineered attach specifically antigens, allowing them directly target tumor cells influence immune system for purposes. Significant advancements this field include approval clinical efficacy mAbs that B-cell lymphomas HER2-positive breast cancer. Notable cases like as trastuzumab rituximab highlight real benefits these treatments, better patient outcomes survival rates. Furthermore, by triggering body's immunological defenses against cells, checkpoint inhibitors pembrolizumab completely changed way is treated. For individuals previously difficult-to-treat illnesses, innovative technique shown extraordinary success across variety types. Innovative approaches including antibody-drug conjugates bispecific also been produced ongoing developments mAb engineering. These technical miracles improve overall safety profile (mAb) therapeutics compensating off-target effects optimizing efficacy. There still issues, such toxicity emergence drug resistance, spite significant progress. Even Nevertheless, continued research initiatives enormous potential customized plans. advances promise future patients everywhere highlighting quick evolution therapies encouraging increased innovation vital area medicine.

Language: Английский

---