Advancing precision medicine in hepatocellular carcinoma: current challenges and future directions in liquid biopsy, immune microenvironment, single nucleotide polymorphisms, and conversion therapy DOI Creative Commons
Miho Akabane, Yuki Imaoka, Jun Kawashima

et al.

Hepatic Oncology, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 22, 2025

Hepatocellular carcinoma (HCC) remains a health concern characterized by heterogeneity and high mortality. Surgical resection, radiofrequency ablation, trans-arterial chemoembolization, liver transplantation offer potentially curative treatments for early-stage disease, but recurrence high. Most patients present with advanced-stage HCC, where locoregional therapies are less effective, systemic treatments-primarily multi-kinase inhibitors immune checkpoint inhibitors-often yield limited responses. Precision medicine aims to tailor therapy molecular genetic profiles, yet its adoption in HCC is hindered inter-/intra-tumoral biopsy availability. Advances diagnostics support reintroducing tissue sampling better characterize genetic, epigenetic, immunological features. Liquid offers minimally invasive method capturing real-time tumor evolution, overcoming spatial temporal heterogeneity. Artificial intelligence machine learning revolutionizing biomarker discovery, risk stratification, treatment planning integrating multi-omics data. Immunological factors such as tumor-infiltrating lymphocytes, natural killer cells, macrophages, fibroblasts have emerged determinants of progression response. Conversion therapy-combining agents treatments-has showndemonstrated promise downstaging unresectable HCC. Ongoing efforts refine biomarker-driven approaches optimize multi-modality regimens underscore precision medicine's potential improve outcomes. PubMed (January 2002-February 2025) was searched relevant studies.

Language: Английский

Promising Cellular Immunotherapy for Colorectal Cancer Using Classical Dendritic Cells and Natural Killer T Cells DOI Creative Commons
Mahmoud Singer,

Jennifer Valerin,

Zhuoli Zhang

et al.

Cells, Journal Year: 2025, Volume and Issue: 14(3), P. 166 - 166

Published: Jan. 22, 2025

Colorectal cancer (CRC) remains one of the leading causes cancer-related morbidity and mortality around world. Despite advances in surgery, chemotherapy, targeted therapies, prognosis for patients with metastatic or advanced CRC poor. Immunotherapies comprising immune checkpoint inhibitors showed disappointing responses (mCRC). However, cellular immunotherapy, specifically using classical dendritic cells (cDCs), may hold unique promise recognition antigens. cDCs are substantial players instrumental orchestrating innate adaptive by processing presenting tumor antigens to effector cells. Natural killer T (NKT) insufficiently studied but because their ability bridge reactions crosstalk cancer. This review explores therapeutic potential both NKT as a synergistic therapy CRC, focusing on biological roles, strategies harnessing capabilities, clinical applications, challenges within microenvironment. Both can be used new effective approach cell-based therapies cancers provide hope that challenging treat.

Language: Английский

Citations

0
Molecular Signatures of Cancer Stemness Characterize the Correlations with Prognosis and Immune Landscape and Predict Risk Stratification in Pheochromocytomas and Paragangliomas DOI Creative Commons
Lei Li, Shuangyu Liu,

Zeqi Guo

et al.

Bioengineering, Journal Year: 2025, Volume and Issue: 12(3), P. 219 - 219

Published: Feb. 21, 2025

Background: Pheochromocytoma and paragangliomas (PPGLs) caused refractory hypertension in clinics. The sustained risk of local or metastatic recurrences new tumor development prompted more research on diagnosis, prognosis prediction, immunotherapy. Method: stemness is closely related to the heterogeneous growth tumor, metastasis, drug-resistance, mRNA expression-based indices (mRNAsi) could reflect stemness. This was calculated based OCLR machine learning algorithm PPGLs patients’ TCGA RNAseq data. relationship between clinical, molecular, microenvironment (TME) features analyzed through hub genes that best captured stem cell characteristics using weighted gene co-expression network analysis (WGCNA), Cox, LASSO regression analysis. Results: Our study found had higher mRNAsi scores, suggesting degree affect metastasis progression. HRAS, CSDE1, NF1, RET, VHL-mutant subtypes displayed significant difference expression. Patients were divided into high-score low-score subtypes. High-score unfavorable compared with low-score, associated their immune-suppressive features, manifested as low macrophages M1 infiltration downregulated expression immune checkpoints. Furthermore, from viewpoint we established a reliable prognostic for PPGLs, which has highest AUC value (0.908) field so far. And this stratify patients high-risk low-risk subtypes, showing differences prognosis, underlying mechanisms correlated specific molecular alterations, biological processes activation, TME. Notably, high neoantigen further resulted responsive Conclusion: We indicated act potential biomarker integrated multi-data sources, valuable stemness-related genes, developed verified novel scoring system predict guide choice treatment strategies.

Language: Английский

Citations

0
The role of disease duration in the use of complementary and integrative medicine for cancer-related fatigue: a cross-sectional study DOI Creative Commons
Yağmur Artan,

Gökhan Sezgin,

İrem Bulut

et al.

Supportive Care in Cancer, Journal Year: 2025, Volume and Issue: 33(4)

Published: March 20, 2025

Abstract Purpose This study aimed to assess the use of complementary and integrative medicine among cancer patients in Turkey for managing fatigue examine moderating effect disease duration on relationship between levels patients’ attitudes toward medicine. Methods A cross-sectional was conducted with 231 recruited from a chemotherapy center western Turkey. Participants completed sociodemographic forms, Holistic Complementary Alternative Medicine Questionnaire, Visual Analog Scale Fatigue. Data were analyzed using linear regression moderation analysis. Results Among participants, 38.5% reported manage fatigue, biologically based treatments such as vitamin supplements herbal tea being most common. Regression analysis showed that younger age ( p < 0.05), longer = 0.005), absence medicine-related complications 0.001), higher 0.001) significant predictors positive Additionally, moderated medicine, strengthening association B − 0.269, SE 0.078, 0.001). Conclusion The findings suggest prolonged significantly influence Given increasing healthcare professionals should provide evidence-based guidance ensure its safe effective use. Future research explore long-term effects cancer-related fatigue. Relevance clinical practice highlights importance addressing recognizing growing patients. Patient or public contribution Patients invited complete questionnaires. Investigators explained study’s objectives content addressed any concerns raised during data collection.

Language: Английский

Citations

0
Advancing precision medicine in hepatocellular carcinoma: current challenges and future directions in liquid biopsy, immune microenvironment, single nucleotide polymorphisms, and conversion therapy DOI Creative Commons
Miho Akabane, Yuki Imaoka, Jun Kawashima

et al.

Hepatic Oncology, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 22, 2025

Hepatocellular carcinoma (HCC) remains a health concern characterized by heterogeneity and high mortality. Surgical resection, radiofrequency ablation, trans-arterial chemoembolization, liver transplantation offer potentially curative treatments for early-stage disease, but recurrence high. Most patients present with advanced-stage HCC, where locoregional therapies are less effective, systemic treatments-primarily multi-kinase inhibitors immune checkpoint inhibitors-often yield limited responses. Precision medicine aims to tailor therapy molecular genetic profiles, yet its adoption in HCC is hindered inter-/intra-tumoral biopsy availability. Advances diagnostics support reintroducing tissue sampling better characterize genetic, epigenetic, immunological features. Liquid offers minimally invasive method capturing real-time tumor evolution, overcoming spatial temporal heterogeneity. Artificial intelligence machine learning revolutionizing biomarker discovery, risk stratification, treatment planning integrating multi-omics data. Immunological factors such as tumor-infiltrating lymphocytes, natural killer cells, macrophages, fibroblasts have emerged determinants of progression response. Conversion therapy-combining agents treatments-has showndemonstrated promise downstaging unresectable HCC. Ongoing efforts refine biomarker-driven approaches optimize multi-modality regimens underscore precision medicine's potential improve outcomes. PubMed (January 2002-February 2025) was searched relevant studies.

Language: Английский

Citations

0