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  • Lenvatinib potentiates the antitumor efficacy of combined radiotherapy and PD-L1 blockade in lung adenocarcinoma.
    Cancer biology & therapy 2026 Liu Y 📖 Unpaywall CC BY 🆕 신규 PMID: 41481002 ↗

    [BACKGROUND] The potential of Lenvatinib to synergize with combined radiotherapy and immunotherapy in LUAD remains incompletely characterized. [METHODS] We investigated Lenvatinib's effects on radiation-induced PD-L1 in LUAD cells and VEGF…

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Oncolytic virus OVV-03 enhances CAR-T cell therapy against glioblastoma via immune modulation and specific HER2 upregulation.
    Oncoimmunology 2026 Tang Y 📖 Unpaywall unknown 🆕 신규 PMID: 41496551 ↗

    Glioblastoma (GBM) remains therapeutically challenging due to treatment resistance and immunosuppression. Oncolytic virotherapy offers a promising strategy. This study engineered OVV-03, a novel HER2-armed oncolytic vesicular stomatitis vir…

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Gene-level gut microbiome signatures as predictive biomarkers for response to immune checkpoint inhibitors across multiple cancer types.
    Gut microbes 2026 Zhang F 📖 Unpaywall CC BY 🆕 신규 PMID: 42026803 ↗

    Targeting programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) with immune checkpoint inhibitors (ICIs) has improved survival across multiple cancer types, but the variability in patient response h…

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Identification of the immune-related diagnostic biomarkers between Graves' disease and thyroid carcinoma based on comprehensive bioinformatics analysis and machine learning.
    Autoimmunity 2026 Zhu Y 📖 Unpaywall CC BY 🆕 신규 PMID: 41729615 ↗

    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: Boosting Machine Learning Algorithms versus
  • Exploring the key functions of T cells and the regulation of the immune microenvironment in prostate cancer using single-cell RNA sequencing and bulk RNA sequencing.
    Autoimmunity 2026 Wang Z 📖 Unpaywall unknown 🆕 신규 PMID: 41474172 ↗

    The incidence of prostate cancer continues to increase, making it the second most common malignant tumor among men worldwide. Immunotherapy has emerged as a key therapeutic strategy for treating tumors. Numerous studies have established tha…

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Genetic relationships between the gut microbiota and prostate cancer: Mendelian randomization combined with bioinformatics analysis.
    The aging male : the official journal of the International Society for the Study of the Aging Male 2026 Li W 📖 Unpaywall unknown 🆕 신규 PMID: 41532675 ↗

    [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: Boosting Machine Learning Algorithms versus
  • Development and validation of machine learning prognostic models for overall survival in non-surgical prostate cancer patients with bone metastases.
    The aging male : the official journal of the International Society for the Study of the Aging Male 2026 Yang Q 📖 Unpaywall unknown 🆕 신규 PMID: 41839858 ↗

    [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: Boosting Machine Learning Algorithms versus
  • The distinct roles of and in proximal- and late-onset colorectal cancer.
    Gut microbes 2026 Ali S 📖 OA PDF 🆕 신규 PMID: 41947036 ↗

    Despite the emerging role of the gut microbiome in colorectal cancer (CRC), its significance in early-onset CRC (EOCRC, …

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Multi-platform analysis of the tumor immune microenvironment associated with breast cancer subtypes.
    Oncoimmunology 2026 Torland LA 🟢 PMC 🆕 신규 PMID: 41530924 ↗

    Breast cancer is genetically and histologically heterogenous, and is influenced by a variety of factors, including the tumor microenvironment (TME). The PAM50 subtypes; Luminal A, Luminal B, Normal-like, Basal-like and Her2-enriched, are as…

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Locus-specific transcriptional regulation of transposable elements by p53.
    Cell cycle (Georgetown, Tex.) 2026 Freewoman JM 🟢 PMC 🆕 신규 PMID: 41504242 ↗

    The tumor suppressor p53 protects genomic integrity in part by regulating transposable elements (TEs). Studies of p53-TE interactions rely on synthetic DNA and reporter assays, estimating expression only at the family or subfamily level and…

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Adding anti-PD-1 antibody to definitive chemoradiotherapy in elderly patients with esophageal squamous cell carcinoma: higher intensity does not equate to better outcomes.
    Annals of medicine 2026 Cen P 📖 Unpaywall unknown 🆕 신규 PMID: 41626750 ↗

    [BACKGROUND AND PURPOSE] The benefit of adding anti-PD-1 antibodies to definitive chemoradiotherapy (dCRT) in elderly patients with esophageal squamous cell carcinoma (ESCC) remains uncertain. This study evaluated its efficacy and safety ve…

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Economic evaluation of perioperative pembrolizumab plus standard of care as treatment for resectable locally advanced head and neck squamous cell carcinoma in the United States.
    Journal of medical economics 2026 Qian F 📖 Unpaywall unknown 🆕 신규 PMID: 41730003 ↗

    [AIMS] In the phase 3 KEYNOTE-689 trial (NCT03765918) among patients with resectable locally advanced head and neck squamous cell carcinoma (LA HNSCC), perioperative pembrolizumab (pembrolizumab before surgery, then continued with standard-…

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Cost-per-responder analysis of TAR-200 versus other Food and Drug Administration-approved novel and generic treatments among patients with Bacillus Calmette-Guérin-unresponsive, high-risk, non-muscle-invasive bladder cancer with carcinoma in situ in the United States.
    Journal of medical economics 2026 Williams S 📖 Unpaywall unknown 🆕 신규 PMID: 42012856 ↗

    [AIMS] Bacillus Calmette-Guérin (BCG)-unresponsive high-risk non-muscle-invasive bladder cancer (HR-NMIBC) with carcinoma (CIS) is aggressive and treatment options are suboptimal. TAR-200, a novel intravesical drug-releasing system, receiv…

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • A real-world study evaluating drug tolerability and health care resource use with acalabrutinib vs ibrutinib in patients with relapsed/refractory chronic lymphocytic leukemia/small lymphocytic lymphoma.
    Journal of medical economics 2026 Dranitsaris G 📖 Unpaywall unknown 🆕 신규 PMID: 41454883 ↗

    [BACKGROUND AND AIM] Bruton tyrosine kinase inhibitors (BTKis) are the standard of care for patients with relapsed/refractory (R/R) chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). Ibrutinib and acalabrutinib are two commo…

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Prolonged progression-free survival with zanubrutinib in relapsed/refractory CLL: an indirect treatment comparison versus other BTK inhibitors using multilevel network meta-regression.
    Journal of medical economics 2026 Shadman M 📖 Unpaywall unknown 🆕 신규 PMID: 41553230 ↗

    [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: Boosting Machine Learning Algorithms versus
  • Neutrophil extracellular trap-related genes in PTCL: identification, prognosis and drug interaction prediction via bioinformatics-machine learning.
    Hematology (Amsterdam, Netherlands) 2026 Chen J 📖 Unpaywall unknown 🆕 신규 PMID: 41772937 ↗

    [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: Boosting Machine Learning Algorithms versus
  • A Randomized Trial Evaluating Intraoperative Ischemic Preconditioning of Parathyroid Glands During Total Thyroidectomy: A Signal for Earlier Parathyroid Function Recovery.
    Journal of investigative surgery : the official journal of the Academy of Surgical Research 2026 Sheng Q 📖 Unpaywall unknown 🆕 신규 PMID: 41612903 ↗ 무작위 임상시험

    [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: Boosting Machine Learning Algorithms versus
  • Impact of Adjuvant Chemotherapy on Survival of the Patients with pT1N + M0 Gastric Cancer: A Retrospective Cohort Study.
    Journal of investigative surgery : the official journal of the Academy of Surgical Research 2026 Song P 📖 Unpaywall unknown 🆕 신규 PMID: 41399955 ↗ 코호트

    [BACKGROUND] The advantages of postoperative adjuvant chemotherapy (ACT) for gastric cancer patients with pT1N + M0 staging have been a subject of debate. This study aims to assess whether ACT can enhance the overall survival (OS) of postop…

    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Causal Caution Before Declaring Superiority of Liver Resection Versus Radiofrequency Ablation for Very Early-Stage Hepatocellular Carcinoma.
    Journal of investigative surgery : the official journal of the Academy of Surgical Research 2026 Shelat VG 📖 OA PDF 🆕 신규 PMID: 41995074 ↗
    FULLTEXT: Boosting Machine Learning Algorithms versus
  • Model-based evaluation of colorectal cancer screening effectiveness: three rounds of multitarget stool DNA testing versus one colonoscopy.
    Journal of medical economics 2026 Dore M 📖 OA PDF 🆕 신규 PMID: 41879223 ↗

    [BACKGROUND] Several colorectal cancer (CRC) screening modalities are guideline-recommended in the United States but differ in screening interval and real-world adherence. Accordingly, single-round test performance may not reflect cumulativ…

    FULLTEXT: Boosting Machine Learning Algorithms versus