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| http://dx.doi.org/10.36660/abc.20201283 | DOI Listing |
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A cutting-edge investigation of the multifaceted role of SOX family genes in cancer pathogenesis through the modulation of various signaling pathways.
Funct Integr Genomics
January 2025
College of Pharmacy, The Islamic University, Najaf, Iraq.
This detailed study examines the complex role of the SOX family in various tumorigenic contexts, offering insights into how these transcription factors function in cancer. As the study progresses, it explores the specific contributions of each SOX family member. The significant roles of the SOX family in the oncogenic environment are well-recognized, highlighting a range of regulatory mechanisms that influence tumor progression.
View Article and Find Full Text PDFABCF1-K430-Lactylation promotes HCC malignant progression via transcriptional activation of HIF1 signaling pathway.
Cell Death Differ
January 2025
Department of Hepatobiliary Surgery of the affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.
Lysine lactylation plays critical roles in various diseases, including cancer. Our previous study showed that lactylation of non-histone ABCF1 may be involved in hepatocellular carcinoma (HCC) progression. In this study, we evaluated the prognostic value of ABCF1-K430la in HCC using immunohistochemical staining and performed amino acid point mutations, multi-omics crossover, and biochemical experiments to investigate its biological role and underlying mechanism.
View Article and Find Full Text PDFNon-HLA Antibodies and the Risk of Antibody-mediated Rejection without Donor-specific Anti-HLA Antibodies After Lung Transplantation.
Transplant Proc
January 2025
Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, Santander, Spain. Electronic address:
Background: Antibody-mediated rejection (ABMR) has become one of the leading causes of chronic lung graft dysfunction. However, in lung transplantation, this entity is sometimes difficult and controversial to diagnose. It is mainly caused by the appearance of donor-specific anti-human leukocyte antigen (HLA) antibodies (DSA), although there are situations with C4d deposits in biopsy in the absence of circulating DSA.
View Article and Find Full Text PDFPredicting the Invasiveness of Mixed Ground-Glass Nodules Based on Spectral Computed Tomography-Derived Parameters and Tumor Abnormal Protein Levels: Development and Validation of a Model.
Acad Radiol
January 2025
Department of Radiology, Shengjing Hospital of China Medical University, China (Y.Y., T.W.). Electronic address:
Rationale And Objectives: Mixed ground-glass nodules (mGGNs) are highly malignant and common nonspecific lung imaging findings. This study aimed to explore whether combining quantitative and qualitative spectral dual-layer detector-based computed tomography (SDCT)-derived parameters with serological tumor abnormal proteins (TAPs) and thymidine kinase 1 (TK1) expression enhances invasive mGGN diagnostic efficacy and to develop a joint diagnostic model.
Materials And Methods: This prospective study included patients with mGGNs undergoing preoperative triple-phase contrast-enhanced SDCT with TAP and TK1 tests.
Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets.
Cancer Cell
December 2024
Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA. Electronic address:
Molecular subtypes, such as defined by The Cancer Genome Atlas (TCGA), delineate a cancer's underlying biology, bringing hope to inform a patient's prognosis and treatment plan. However, most approaches used in the discovery of subtypes are not suitable for assigning subtype labels to new cancer specimens from other studies or clinical trials. Here, we address this barrier by applying five different machine learning approaches to multi-omic data from 8,791 TCGA tumor samples comprising 106 subtypes from 26 different cancer cohorts to build models based upon small numbers of features that can classify new samples into previously defined TCGA molecular subtypes-a step toward molecular subtype application in the clinic.
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