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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: Support Vector Machine randomized -
Genetic relationships between the gut microbiota and prostate cancer: Mendelian randomization combined with bioinformatics analysis.
[BACKGROUND] Prostate cancer (PCa) is a leading cause of male cancer-related death globally. While the gut microbiota is linked to PCa, its genetic association remains unclear. [METHODS] We screened genetic instruments related to the gut m…
FULLTEXT: Support Vector Machine randomized -
Development and validation of machine learning prognostic models for overall survival in non-surgical prostate cancer patients with bone metastases.
[OBJECTIVE] To construct and interpret a machine learning model for predicting overall survival in nonsurgical prostate cancer with bone metastases (PCBM). [METHODS] Data from 3,378 SEER database patients were utilized to develop machine l…
FULLTEXT: Support Vector Machine randomized -
activates histone lactylation to promote gastric cancer progression and immune evasion through the HAS2/c-MYC/PD-L1 axis.
[BACKGROUND] Metabolic reprogramming and epigenetic alterations play important roles in driving tumor microenvironment (TME) remodeling and immune evasion in gastric cancer (GC). Histone lactylation links glycolytic metabolism to transcript…
FULLTEXT: Support Vector Machine randomized -
metaFun: An analysis pipeline for metagenomic big data with fast and unified functional searches.
Metagenomic approaches offer unprecedented opportunities to characterize microbial community structure and function, yet several challenges remain unresolved. Inconsistent genome quality impairs reliability of metagenome-assembled genomes, …
FULLTEXT: Support Vector Machine randomized -
Steroid receptor coactivator 3-deficient regulatory T cells eradicate multiple solid tumors in syngeneic mouse models.
Steroid receptor coactivator 3 (SRC-3) is highly expressed in regulatory T cells (Tregs) and is important for their immunosuppressive activity. Recently, we demonstrated that disrupting SRC-3 expression in Tregs eliminates triple-negative b…
FULLTEXT: Support Vector Machine randomized -
B cells and humoral immunity in melanoma: regulatory and autoimmune-like features and implications for immunotherapy.
B cells and the humoral immune response are increasingly recognized as critical modulators of melanoma progression and immunotherapy outcomes. While checkpoint inhibitor (CPI) therapy was developed to target T cell exhaustion mechanisms, em…
FULLTEXT: Support Vector Machine randomized -
Dynamic changes in cellular mechanics and membrane microviscosity during migration of colorectal cancer cells.
The ability of tumor cells to migrate and invade adjacent tissue is a key property underlying the metastatic process. To ensure greater deformability and to facilitate movement, migratory cells undergo multiple changes in biophysical parame…
FULLTEXT: Support Vector Machine randomized -
Dual agonism and selective T-cell depletion activity of a PD-1-directed antibody for treating autoimmune diseases.
Precise inhibition of autoreactivity without concomitant induction of general immunosuppression is an overarching goal that remains elusive for the treatment of autoimmune diseases. PD-1 is preferentially expressed on activated T cells that…
FULLTEXT: Support Vector Machine randomized -
Enhanced magnetic hyperthermia using anti-PD-L1 antibody-conjugated magnetoliposomes in a murine subcutaneous bladder cancer model.
[BACKGROUND/OBJECTIVES] Bladder cancer (BC) often arises in an immunosuppressive tumor microenvironment that limits responses to immune checkpoint inhibitors. Magnetic hyperthermia therapy (MHT) can induce immunogenic cell death, but its va…
FULLTEXT: Support Vector Machine randomized -
LILRB2 inhibition by blocking antibody ES009 reprograms immunosuppressive myeloid cells and enhances T-cell-mediated tumor immunity.
The inhibitory receptor leukocyte immunoglobulin-like receptor B2 (LILRB2), expressed on myeloid cells like monocytes and tumor-resident myeloid cells, sustains an immunosuppressive tumor microenvironment and promotes tumor progression. Pha…
FULLTEXT: Support Vector Machine 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: Support Vector Machine randomized -
The burdens, coping strategies, and unmet needs of family caregivers of Chinese patients with lymphoma receiving commercial CAR-T-cell therapy: A qualitative study.
[OBJECTIVE] This study aimed to describe the caregiving experiences, coping strategies, and unmet health care needs of family caregivers supporting Chinese patients with large B-cell lymphoma receiving commercial chimeric antigen receptor T…
FULLTEXT: Support Vector Machine 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: Support Vector Machine 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: Support Vector Machine randomized -
How does self-compassion affect posttraumatic adaptation among lymphoma patients? A perspective based on network analysis.
Self-compassion, defined as the ability to treat oneself with kindness during suffering, serves as a protective factor for posttraumatic adaptation in cancer patients. However, the functional distinctions between different components of sel…
FULLTEXT: Support Vector Machine 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: Support Vector Machine randomized -
Association between postoperative urinary incontinence severity and anxiety in patients with prostate cancer: A chain mediation analysis of ehealth literacy and pelvic floor muscle training adherence.
[OBJECTIVE] This study aimed to examine the chain mediating roles of eHealth literacy and pelvic floor muscle training (PFMT) adherence in the association between urinary incontinence (UI) severity and anxiety. [METHODS] A cross-sectional …
FULLTEXT: Support Vector Machine randomized -
The prevalence and predictors of previous prostate cancer screening among men attending primary healthcare centers in Riyadh, Saudi Arabia.
[BACKGROUND] Early detection through screening is crucial for improving treatment outcomes and reducing disease burden. . This study investigates the predictors of previous prostate cancer screening among Saudi men attending primary healthc…
FULLTEXT: Support Vector Machine randomized -
Dyadic coping, relationship quality, and psychosocial adaption between couples facing prostate cancer: A longitudinal cross-lagged study.
[OBJECTIVE] To explore the associations among dyadic coping, close relationship, and psychosocial adaption in prostate cancer couples during the first six months after diagnosis. [METHODS] Newly diagnosed prostate cancer patients and their…
FULLTEXT: Support Vector Machine randomized