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DAMPs prognostic signature predicts tumor immunotherapy, and identifies immunosuppressive mechanism of pannexin 1 channels in pancreatic ductal adenocarcinoma.
Front Immunol
January 2025
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Background: Damage-associated molecular patterns (DAMPs) induced by immunogenic cell death (ICD) may be useful for the immunotherapy to patients undergoing pancreatic ductal adenocarcinoma (PDAC). The aim of this study is to predict the prognosis and immunotherapy responsiveness of PDAC patients using DAMPs-related genes.
Methods: K-means analysis was used to identify the DAMPs-related subtypes of 175 PDAC cases.
Risk of Subclinical Hypothyroidism in Breast Cancer Patients Treated With CT-Guided Radiation Therapy: A Prospective Observational Study.
Clin Epidemiol
January 2025
Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.
Purpose: The thyroid gland is an organ at risk in breast cancer survivors who receive radiation therapy to the supraclavicular lymph nodes. We investigated the effect of radiation dose to the thyroid gland on the incidence of hypothyroidism in early-stage breast cancer patients treated with CT-guided radiation therapy.
Patients And Methods: We recruited women aged ≤75 years diagnosed with breast cancer from March 2016 through August 2017 at Odense University Hospital, Denmark.
The implementation and side effect management of immune checkpoint inhibitors in gynecologic oncology: a JAGO/NOGGO survey.
BMC Cancer
January 2025
Young Academy of Gynecologic Oncology (JAGO), Nord-Ostdeutsche Gesellschaft für Gynäkologische Onkologie (NOGGO), Berlin, Germany.
Background: The integration of immune checkpoint inhibitors (ICIs) into routine gynecologic cancer treatment requires a thorough understanding of how to manage immune-related adverse events (irAEs) to ensure patient safety. However, reports on real-world clinical experience in the management of ICIs in gynecologic oncology are very limited. The aim of this survey was to provide a real-world overview of the experiences and the current state of irAE management of ICIs in Germany, Switzerland, and Austria.
View Article and Find Full Text PDFLeveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis.
Sci Rep
January 2025
Center for Informatics Science (CIS), School of Information Technology and Computer Science, Nile University, 26th of July Corridor, Sheikh Zayed City, Giza, 12588, Egypt.
Breast cancer, with its high incidence and mortality globally, necessitates early prediction of local and distant recurrence to improve treatment outcomes. This study develops and validates predictive models for breast cancer recurrence and metastasis using Recurrence-Free Survival Analysis and machine learning techniques. We merged datasets from the Molecular Taxonomy of Breast Cancer International Consortium, Memorial Sloan Kettering Cancer Center, Duke University, and the SEER program, creating a comprehensive dataset of 272, 252 rows and 23 columns.
View Article and Find Full Text PDFFactors Associated With Short- and Long-Term Survival in Metastatic HER2-Positive Breast Cancer.
Clin Breast Cancer
January 2025
Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA; Harvard Medical School, Boston, MA.
Background: We sought to evaluate prognostic factors in human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer (MBC) and their relationship with short- and long-term overall survival (OS).
Methods: Using the Surveillance, Epidemiology, and End Results (SEER) database, we evaluated patients with de novo HER2-positive MBC diagnosed from 2010 to 2018. Univariate analyses were performed to determine effect of each variable on OS.
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