Advancements in nano-immunotherapy for gynecological cancers: A new frontier DOI Open Access

Gu Xiao,

Cuicui Wang

Biomedicine & Pharmacotherapy, Journal Year: 2024, Volume and Issue: 180, P. 117553 - 117553

Published: Oct. 13, 2024

Language: Английский

The mitochondrial protease ClpP is a promising target for multiple myeloma treatment DOI
Xiang Liu,

Jinlong Gu,

Song Liu

et al.

Biochemical Pharmacology, Journal Year: 2025, Volume and Issue: 236, P. 116855 - 116855

Published: March 5, 2025

Language: Английский

Citations

1

Optimizing CAR-T cell therapy for solid tumors: current challenges and potential strategies DOI Creative Commons

Kexin Ai,

Bowen Liu, Xiaomei Chen

et al.

Journal of Hematology & Oncology, Journal Year: 2024, Volume and Issue: 17(1)

Published: Nov. 5, 2024

Chimeric antigen receptor (CAR)-T cell therapy demonstrates substantial efficacy in various hematological malignancies. However, its application solid tumors is still limited. Clinical studies report suboptimal outcomes such as reduced cytotoxicity of CAR-T cells and tumor evasion, underscoring the need to address challenges sliding cells. Despite improvements from fourth next-generation cells, new include systemic toxicity continuously secreted proteins, low productivity, elevated costs. Recent research targets genetic modifications boost killing potential, metabolic interventions hinder progression, diverse combination strategies enhance therapy. Efforts reduce duration cost developing allogenic in-vivo approaches, promising significant future advancements. Concurrently, innovative technologies platforms potential overcome limitations treating tumors. This review explores optimize therapies for tumors, focusing on enhancing overcoming restrictions. We summarize recent advances T subset selection, structural modifications, infiltration enhancement, interventions, production optimization, integration novel technologies, presenting therapeutic approaches that could improve therapy's applicability

Language: Английский

Citations

7

Gene Signature-Based Prognostic Model for Acute Myeloid Leukemia: The Role of BATF, EGR1, PD-1, PD-L1, and TIM-3 DOI Creative Commons
Yupei Zhang, Zhixi Chen,

Jiamian Zheng

et al.

International Journal of Medical Sciences, Journal Year: 2025, Volume and Issue: 22(8), P. 1875 - 1884

Published: March 19, 2025

Background: Acute myeloid leukemia (AML) is a malignancy of hematopoietic stem and progenitor cells, with T cell exhaustion linked to poor outcomes. Our previous research has shown that basic leucine zipper ATF-like transcription factor (BATF) early growth response 1 (EGR1) play role in chimeric antigen receptor (CAR-T) during AML tumor elimination. However, the roles BATF EGR1 their association immune checkpoint genes prognosis remain underexplored. Methods: Bone marrow (BM) samples from 92 newly diagnosed patients at our clinical center (JUN-dataset) were analyzed detect expression levels BATF, EGR1, programmed death (PD-1), death-ligand (PD-L1), immunoglobulin mucin domain-containing protein 3 (TIM3) together conducting prognostic assessment. findings validated using RNA sequencing data 155 TCGA database 199 Beat-AML database. Results: High correlated overall survival (OS) (P = 0.030), whereas high indicated favorable 0.040). Patients low had worst outcomes < 0.001). Among those receiving allogenic transplantation (allo-HSCT), was shorter OS 0.004). Moreover, model incorporating PD-1, PD-L1, TIM-3 calculated risk score, high-risk demonstrating significantly than low-risk both total allo-HSCT recipients Similar results found datasets. Conclusions: We establish based on effectively predicts for recipients. This may provide valuable insights assessment treatment strategies.

Language: Английский

Citations

0

AI in the development of vaccines for emerging and re-emerging diseases DOI
Rita Elizabeth Velastegui-Hernández, Verónica Gabriela Salinas Velasteguí, Diana Catalina Velasteguí Hernández

et al.

Salud Ciencia y Tecnología, Journal Year: 2025, Volume and Issue: 4

Published: Jan. 15, 2025

Introduction: The integration of artificial intelligence (AI) into vaccine development has revolutionized traditional methodologies, significantly enhancing the speed, precision, and scalability immunological research. Emerging re-emerging infectious diseases, driven by zoonotic spillovers, antimicrobial resistance, global environmental changes, pose substantial challenges. Addressing these requires innovative approaches, with AI playing a pivotal role in advancing solutions.Development: applications vaccinology include antigen detection, adjuvant optimization, immune response simulation. Deep learning algorithms streamline identification immunogenic targets conserved antigens, enabling for highly mutable pathogens such as SARS-CoV-2, HIV, influenza. Case studies demonstrate AI's transformative impact, including its rapid creation mRNA vaccines COVID-19, promising antigens malaria, enhanced efficacy influenza through predictive modeling. However, challenges unequal access to technology, biases data models, ethical concerns regarding genomic privacy persist. Recommendations address barriers increasing diversity, strengthening frameworks, investing infrastructure democratize AI-driven innovations.Conclusions: ability reduce time cost, improve enable personalized immunization strategies positions it cornerstone modern vaccinology. With continued advancements equitable implementation, holds potential reshape development, pandemic preparedness, longstanding public health disparities globally.

Language: Английский

Citations

0

Advancements in drugs restructured with nanomedicines for multiple myeloma treatment DOI
Zhaoyun Liu,

Hongli Shen,

Hui Liu

et al.

Science China Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

Language: Английский

Citations

3

An Updated Review Summarizing the Anticancer Potential of Poly(Lactic‐co‐Glycolic Acid) (PLGA) Based Curcumin, Epigallocatechin Gallate, and Resveratrol Nanocarriers DOI
Pratibha Pandey, Meenakshi Verma, Sorabh Lakhanpal

et al.

Biopolymers, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

ABSTRACT The utilization of nanoformulations derived from natural products for the treatment many human diseases, including cancer, is a rapidly developing field. Conventional therapies used cancer have limited efficacy and greater number adverse effects. Hence, it imperative to develop innovative anticancer drugs with superior effectiveness. Among diverse array compounds, resveratrol, curcumin, epigallocatechin gallate (EGCG) gained considerable attention in recent years. Despite their strong properties, medicinally significant phytochemicals such as EGCG certain disadvantages, solubility water, stability, bioavailability problems. Encapsulating these poly(lactic‐ co ‐glycolic acid) (PLGA), polymer that nontoxic, biodegradable, biocompatible, an effective method delivering medication tumor location. In addition, PLGA nanoparticles can be modified targeting molecules specifically target cells, thereby improving effectiveness fighting tumors. Combining plant‐based medicine (phytotherapy) nanotechnology clinical environment has potential enhance improve overall health outcomes patients. Therefore, crucial comprehensive understanding different aspects advancements using PLGA‐based nanocarriers phytochemicals. This review addresses most delivery systems EGCG, emphasizing possibility resolving issues related therapeutic compounds.

Language: Английский

Citations

2

Advancements in nano-immunotherapy for gynecological cancers: A new frontier DOI Open Access

Gu Xiao,

Cuicui Wang

Biomedicine & Pharmacotherapy, Journal Year: 2024, Volume and Issue: 180, P. 117553 - 117553

Published: Oct. 13, 2024

Language: Английский

Citations

0