논문 검색
-
Identification of the immune-related diagnostic biomarkers between Graves' disease and thyroid carcinoma based on comprehensive bioinformatics analysis and machine learning.
Increasing evidence suggests that Graves' disease (GD) may increase the risk of thyroid cancer (THCA), but diagnostic biomarkers associated with it remain underexplored. To address this issue, we analyzed the Gene Expression Omnibus (GEO) a…
FULLTEXT: Diagnostic algorithm optimization randomized -
The distinct roles of and in proximal- and late-onset colorectal cancer.
Despite the emerging role of the gut microbiome in colorectal cancer (CRC), its significance in early-onset CRC (EOCRC, …
FULLTEXT: Diagnostic algorithm optimization randomized -
An exploratory serum metabolomics study for screening and staging of breast cancer.
[OBJECTIVE] This study investigates serum metabolic profiles in breast cancer to identify diagnostic biomarkers and stage-specific metabolites, offering insights for clinical practice. [METHODS] Gas chromatography‒mass spectrometry (GC‒MS)…
FULLTEXT: Diagnostic algorithm optimization randomized -
Capacity to care: Provider agency and socio-structural constraints in breast cancer care across public secondary and tertiary hospitals in Soweto.
Timely breast cancer care remains challenging in South Africa, where both health-system and patient-level barriers contribute to delayed diagnosis and treatment. This study explored healthcare providers' experiences and perspectives on brea…
FULLTEXT: Diagnostic algorithm optimization randomized -
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: Diagnostic algorithm optimization randomized -
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: Diagnostic algorithm optimization randomized -
Prolonged progression-free survival with zanubrutinib in relapsed/refractory CLL: an indirect treatment comparison versus other BTK inhibitors using multilevel network meta-regression.
[BACKGROUND] Bruton tyrosine kinase inhibitors (BTKis) are therapeutic agents for relapsed/refractory chronic lymphocytic leukemia (R/R CLL). Previous indirect treatment comparisons are limited in simultaneously comparing multiple intervent…
FULLTEXT: Diagnostic algorithm optimization randomized -
Apoptosis-related genes influence prognosis and immune characteristics of diffuse large B-cell lymphoma.
[OBJECTIVES] Dysregulation of apoptosis-related genes (ARGs) may contribute to tumorigenesis and impact patient prognosis, but their specific influence on prognosis and immune characteristics in diffuse large B-cell lymphoma (DLBCL) remains…
FULLTEXT: Diagnostic algorithm optimization randomized -
The surgery for the patients with intestinal non‑Hodgkin lymphomas: a nationwide study.
[BACKGROUND] The treatment strategy for intestinal non-Hodgkin lymphoma (NHL) and the role of surgery warrant reevaluation. [METHODS] This study analyzed clinical data from a cohort of 12,047 patients diagnosed with intestinal NHL, extract…
FULLTEXT: Diagnostic algorithm optimization randomized -
Neutrophil extracellular trap-related genes in PTCL: identification, prognosis and drug interaction prediction via bioinformatics-machine learning.
[OBJECTIVE] This study aimed to identify neutrophil extracellular trap-related genes (NET-RGs), explore their prognostic significance, and predict drug interactions in peripheral T-cell lymphoma (PTCL). [METHODS] Differentially expressed N…
FULLTEXT: Diagnostic algorithm optimization randomized -
A Randomized Trial Evaluating Intraoperative Ischemic Preconditioning of Parathyroid Glands During Total Thyroidectomy: A Signal for Earlier Parathyroid Function Recovery.
[BACKGROUND] Ischemic preconditioning of parathyroid glands (IPCP) is biologically plausible but clinical evidence is limited. In this single-center randomized trial (ChiCTR2000039788), we compared IPCP versus control during total thyroidec…
FULLTEXT: Diagnostic algorithm optimization randomized -
Diagnostic performance and generalizability of a clinical-ultrasound radiomics model for predicting extrathyroidal extension in thyroid carcinoma: a retrospective study.
[BACKGROUND] Ultrasound plays a crucial role in the preoperative evaluation of thyroid carcinoma and its extrathyroidal extension (ETE). This study aims to develop and validate a model integrating ultrasound radiomics and clinical factors f…
FULLTEXT: Diagnostic algorithm optimization randomized -
Comparison of the effects of exercise-based interventions on cardiometabolic health and fatigue in men with prostate cancer receiving androgen deprivation therapy: A network meta-analysis.
[OBJECTIVE] To compare the effects of exercise-based interventions on cardiometabolic health and fatigue in men with prostate cancer receiving androgen deprivation therapy (ADT). [METHODS] A comprehensive search for Randomized controlled s…
FULLTEXT: Diagnostic algorithm optimization randomized -
COPB2 drives gastric cancer progression via PI3K/AKT/NF-κB signaling: a multi-omics and functional study.
This study investigated the role of COPB2 in gastric cancer (GC) pathogenesis. Analysis of TCGA datasets and tissue microarrays revealed its upregulation in GC tissues compared to normal adjacent tissues, which was correlated with advanced …
FULLTEXT: Diagnostic algorithm optimization randomized -
Cost-effectiveness of the GAAD algorithm for hepatocellular carcinoma surveillance of patients with compensated cirrhosis: a model-based analysis using Italian real-world data.
[AIMS] Early detection of hepatocellular carcinoma (HCC) in patients with compensated cirrhosis (CC) is critical for improving prognosis. The GAAD algorithm (gender [biological sex], age, alpha-fetoprotein [AFP], protein induced by vitamin …
FULLTEXT: Diagnostic algorithm optimization randomized -
Development and validation of a digital PCR assay targeting plasma methylation for early detection of hepatocellular carcinoma.
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, yet current surveillance with alpha-fetoprotein (AFP) and ultrasound (US) lacks sufficient accuracy, particularly for early-stage disease. This study a…
FULLTEXT: Diagnostic algorithm optimization randomized -
Circular RNA circ_0050102 promotes colorectal cancer progression via modulation of the miR-3622a-3p/BIRC5 signaling pathway.
[BACKGROUND] Colorectal cancer (CRC) represents a significant global health burden, requiring a deeper understanding of the molecular mechanisms that drive its progression. Circular RNAs (circRNAs) have appeared as crucial regulators in can…
FULLTEXT: Diagnostic algorithm optimization randomized -
Impact of offering blood-based testing alongside existing modalities for colorectal cancer screening among those who previously declined screening: an economic evaluation.
[AIM] Inadequate adherence to colorectal cancer screening reduces individual and population level health benefits. Blood-based tests offer a new modality that may help patients overcome barriers, but there are concerns about the impact of p…
FULLTEXT: Diagnostic algorithm optimization randomized -
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: Diagnostic algorithm optimization randomized -
A vision-language model-based approach for lung cancer diagnosis using lossless 3D CT images: evaluation of GPT-4.1 and GPT-4o for patient-level malignancy assessment.
[PURPOSE] Large vision-language models (VLMs), such as GPT-4.1 and GPT-4o, have shown strong potential in medical tasks. However, their application in lossless 3D medical image analysis is still underexplored. This study proposes a GPT-base…
FULLTEXT: Diagnostic algorithm optimization randomized