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Trial Watch - bispecific T cell engagers and higher-order multispecific immunotherapeutics.
Over the past decades, cancer immunotherapy has evolved into clinical practice, with bispecific T cell engagers (TCEs) and other higher-order multispecific immunotherapeutics emerging as approaches for precision immune modulation. These eng…
FULLTEXT: parameter optimization -
Advances in natural killer cell immunotherapy for hematologic malignancies.
Natural killer (NK) cells are a unique subset of cytotoxic lymphocytes within the innate immune system. They play a pivotal role in antiviral and antitumor immunity. NK cell-based adoptive immunotherapy has advanced rapidly in recent years.…
FULLTEXT: parameter optimization -
Cost-effectiveness analysis of atezolizumab and bevacizumab as first-line systemic therapy in unresectable hepatocellular carcinoma in Malaysia.
[AIM] This study aims to evaluate the cost-effectiveness of atezolizumab plus bevacizumab as first-line systemic therapy for unresectable hepatocellular carcinoma (uHCC) in Malaysia, compared with the current standard treatments in the Mala…
FULLTEXT: parameter optimization -
DA-LUNGNET: a multi-stage deep framework with adaptive attention for early detection of subcentimeter pulmonary nodules.
Early and reliable detection of subcentimeter pulmonary nodules remains a major bottleneck in low-dose CT-based lung cancer screening due to high miss rates, vascular-adhesion-induced false positives, and insufficient multi-scale feature fu…
FULLTEXT: parameter optimization -
Reforming the delivery of smoking cessation: a distributional cost-effectiveness analysis of providing smoking cessation as part of targeted lung cancer screening.
[BACKGROUND] Lung cancer is a leading cause of cancer death, and smoking-related disease is a major cause of health inequality in England, driven by increased prevalence of smoking in deprived areas. Integrating smoking cessation support in…
FULLTEXT: parameter optimization -
A system dynamics modelling protocol to evaluate the impact of a health financing mechanism for breast cancer pharmacotherapies in Malaysia.
[INTRODUCTION] The rising cost of targeted breast cancer therapies challenges financial sustainability and equitable access in dual-tier health systems. In Malaysia, public cancer care is highly subsidized but budget constrained, shifting p…
FULLTEXT: parameter optimization -
Optimizing immunotherapy for head and neck squamous cell carcinoma: recent advances and future directions.
[BACKGROUND] Head and neck squamous cell carcinoma (HNSCC) is the sixth most prevalent malignancy globally. Despite advancements in surgery, chemotherapy, and radiotherapy, the recurrence rate in advanced-stage HNSCC remains high, with a 5-…
FULLTEXT: parameter optimization -
Preclinical advances and mechanistic insights of CAR-T therapy for acute myeloid leukemia: from target iteration to microenvironment regulation.
[INTRODUCTION] Relapsed/refractory acute myeloid leukaemia (AML) carries a dismal prognosis, primarily due to profound biological heterogeneity and the scarcity of effective targeted therapies. Chimeric antigen receptor T (CAR-T) cell thera…
FULLTEXT: parameter optimization -
Research progress on the molecular mechanisms of PD-1 and LAG-3 synergy in regulating T cell exhaustion and immunotherapy.
[BACKGROUND] PD-1 and LAG-3 are immune checkpoint molecules frequently co-expressed in the tumor microenvironment, where they synergistically drive T-cell exhaustion and immune escape. Dual blockade of these pathways represents a promising …
FULLTEXT: parameter optimization -
Oncolytic virus therapy for hepatocellular carcinoma: A bibliometric analysis of research landscapes, hotspots, and clinical transformation trends from 2000 to mid-2025.
This study aimed to systematically analyze the research status, hotspots, and trends of oncolytic virotherapy (OV) for hepatocellular carcinoma (HCC) from 2000 to mid-2025, scientifically predict future directions, facilitate clinical trans…
FULLTEXT: parameter optimization -
Smart graphene-enhanced ceramic material refractive index sensor simulation design developed for highly sensitive breast Cancer detection optimized with machine learning.
Based on the surface plasmon resonance (SPR) technique, the proposed biosensor is investigated as an SPR-based sensing platform for detecting breast cancer cells, specifically MCF-7 and MDA-MB-231 cells. Developed biosensor features an octa…
FULLTEXT: parameter optimization -
Optimization of novel quinazolinone derivatives as CRBN E3 ligase modulators for enhanced degradative activity and metabolic stability.
CRBN E3 ligase modulators (CELMoDs) exhibit excellent pharmacological activity by degrading cereblon (CRBN) associated multiple substrates and have become an important field for protein degradation drugs development. Previously, we conducte…
FULLTEXT: parameter optimization -
Discovery of a potent and orally available SOS1 inhibitor with antitumor efficacy in KRAS-mutant colorectal cancers.
As a key guanine nucleotide exchange factor, SOS1 is an attractive therapeutic target for KRAS-driven colorectal cancer. In this study, based on the co-crystal structure of SOS1 in complex with BI-68BS, we developed a high-affinity fluoresc…
FULLTEXT: parameter optimization -
Structure-guided discovery of a potent 2-aryl-4-aminoquinazoline-based inhibitor overcoming osimertinib resistance driven by EGFR C797S mutation in NSCLC.
The C797S mutation in epidermal growth factor receptor (EGFR) is a major mechanism of resistance to third-generation tyrosine kinase inhibitors (TKIs), such as Osimertinib, in non-small cell lung cancer (NSCLC), creating an urgent need for …
FULLTEXT: parameter optimization -
Discovery and development of potent and selective dual NUAK/MARK inhibitors as Hippo pathway modulators for the treatment of cancer.
Restoring the tumor suppressive activity of the Hippo signaling pathway lost through dysregulation of the NUAK1/2 and MARK2/3 kinase axis and downstream transcriptional effectors YAP/TAZ has emerged as a new modality for the treatment of se…
FULLTEXT: parameter optimization -
Decoding the anti-glioma potential of saponins: structure-activity relationships, mechanism and development strategy.
Glioma remains a critical challenge in neuro-oncology due to highly invasive behavior and limited treatment options. Saponins, a structurally diverse class of natural glycosides, have shown great potential as anti-glioma agents owing to the…
FULLTEXT: parameter optimization -
Targeting WRN helicase in MSI-H tumors: Synthetic lethality, small molecule discovery, and therapeutic perspectives.
Synthetic lethality strategies targeting the DNA damage response have revolutionized cancer therapy. However, established agents like PARP inhibitors face limitations regarding resistance mechanisms and narrow therapeutic indices. Recent fu…
FULLTEXT: parameter optimization -
Design, synthesis, and Lead optimization of novel Quinazoline-based FLT3 inhibitors with potent anti-acute myelogenous leukemia activity.
FLT3 mutations, including internal tandem duplications (ITD) and tyrosine kinase domain (TKD) variants, are key drivers of acute myeloid leukemia (AML) and represent attractive therapeutic targets. Guided by a scaffold-hopping strategy base…
FULLTEXT: parameter optimization -
Safety and efficacy of JWATM204, a novel Glypican-3 (GPC3)-targeted CAR T cell therapy for advanced hepatocellular carcinoma: A phase I dose-escalation study.
[BACKGROUND] Glypican-3 (GPC3) is an important therapeutic target for chimeric antigen receptor (CAR) T cell therapy in hepatocellular carcinoma (HCC). JWATM204 is a novel GPC3-targeted CAR T cell therapy developed on the Antibody Redirecte…
FULLTEXT: parameter optimization -
Artificial intelligence in clinical oncology: Multimodal integration and translational development.
Artificial intelligence (AI) is rapidly reshaping clinical oncology, as cancer care increasingly relies on integrating heterogeneous data streams spanning radiology, digital pathology, genomics, and longitudinal electronic health records. H…
FULLTEXT: parameter optimization