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Objective: Using F-FDG PET/CT metabolic parameters to differentiate post-transplant lymphoproliferative disorder (PTLD) and reactive lymphoid hyperplasia (RLH), and PTLD subtypes.

Methods: F-FDG PET/CT and clinical data from 63 PTLD cases and 19 RLH cases were retrospectively collected. According to the 2017 WHO classification, PTLD was categorized into four subtypes: nondestructive (ND-PTLD), polymorphic (P-PTLD), monomorphic (M-PTLD), and classic Hodgkin.

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Efficacy and safety of KN026 and docetaxel for HER2-positive breast cancer: a phase II clinical trial.

Cancer Commun (Lond)

January 2025

Department of Medical Oncology, Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, P. R. China.

Background: The standard first-line treatment for human epidermal growth factor receptor 2 (HER2)-positive recurrent/metastatic breast cancer currently includes pertuzumab plus trastuzumab and docetaxel. This study aimed to evaluate the effectiveness of KN026, an anti-HER2 bispecific antibody, plus docetaxel in first-line treatment of HER2-positive recurrent/metastatic breast cancer.

Methods: This open-label, single-arm, phase II study enrolled patients with HER2-positive recurrent/metastatic breast cancer in 19 centers across China from December 30, 2019 to May 27, 2021.

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The transcriptomic classification of primary colorectal cancer (CRC) into distinct consensus molecular subtypes (CMSs) is a well-described strategy for patient stratification. However, the molecular nature of CRC metastases remains poorly investigated. To this end, this study aimed to identify and compare organotropic CMS frequencies in CRC liver and brain metastases.

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The study of the multifaceted interactions between neuroscience and cancer is an emerging field with significant implications for understanding tumor biology and the innovation in therapeutic approaches. Increasing evidence suggests that neurological functions are connected with tumorigenesis. In particular, the peripheral and central nervous systems, synapse, neurotransmitters, and neurotrophins affect tumor progression and metastasis through various regulatory approaches and the tumor immune microenvironment.

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Background: Drug response prediction is critical in precision medicine to determine the most effective and safe treatments for individual patients. Traditional prediction methods relying on demographic and genetic data often fall short in accuracy and robustness. Recent graph-based models, while promising, frequently neglect the critical role of atomic interactions and fail to integrate drug fingerprints with SMILES for comprehensive molecular graph construction.

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