Cancer imposes a substantial burden and its incidence is persistently increasing in recent years. Cancer treatment has been difficult due to its inherently complex nature. The tumor microenvironment (TME) includes a complex interplay of cellular and noncellular constituents surrounding neoplastic cells, intricately contributing to the tumor initiation and progression. This critical aspect of tumors involves a complex interplay among cancer, stromal, and inflammatory cells, forming an inflammatory TME that promotes tumorigenesis across all stages. Tumor necrosis factor receptor-associated factor 6 (TRAF6) is implicated in modulating various critical processes linked to tumor pathogenesis, including but not limited to the regulation of tumor cell proliferation, invasion, migration, and survival. Furthermore, TRAF6 prominently contributes to various immune and inflammatory pathways. The TRAF6-mediated activation of nuclear factor (NF)-κB in immune cells governs the production of proinflammatory cytokines. These cytokines sustain inflammation and stimulate tumor growth by activating NF-κB in tumor cells. In this review, we discuss various types of tumors, including gastrointestinal cancers, urogenital cancers, breast cancer, lung cancer, head and neck squamous cell carcinoma, uterine fibroids, and glioma. Employing a rigorous and systematic approach, we comprehensively evaluate the functional repertoire and potential roles of TRAF6 in various cancer types, thus highlighting TRAF6 as a compelling and emerging therapeutic target worthy of further investigation and development.
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http://dx.doi.org/10.7150/jca.90059 | DOI Listing |
Am J Surg
January 2025
Department of Surgery, 1300 York Avenue, Weill Cornell Medicine, New York, NY, 10065, USA.
The benefit of adjuvant radiation therapy (RT) in adrenocortical carcinoma (ACC) is not well characterized for those who undergo initial R0 surgical resection. Patients in the NCDB who underwent R0 resection were placed into two cohorts - those who underwent adjuvant RT and those who did not. 388 patients were identified with 51 receiving RT.
View Article and Find Full Text PDFSurgery
January 2025
Breast Surgery Unit, Veneto Institute of Oncology IOV, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Padova, Italy.
Background: Intraoperative ultrasound-guided breast-conserving surgery guarantees real-time direct visualization of tumor and resection margins. We compared surgical, oncologic, and cosmetic outcomes between intraoperative ultrasound-guided breast-conserving surgery and traditional (palpation- or wire-guided) surgery across all breast cancer lesion types.
Methods: This prospective observational cohort study was conducted at the Veneto Institute of Oncology between January 2021 and October 2022.
JMIR Res Protoc
January 2025
Department of Orthopaedic Surgery, National University Hospital, National University Health System, Singapore, Singapore.
Background: Metastatic spine tumor surgery (MSTS) is often complex and extensive leading to significant blood loss. Allogeneic blood transfusion (ABT) is the mainstay of blood replenishment but with immune-mediated postoperative complications. Alternative blood management techniques (salvaged blood transfusion [SBT]) allow us to overcome such complications.
View Article and Find Full Text PDFJ Neurosurg
January 2025
Departments of2Neurological Surgery and.
Objective: Skull base chordomas (SBCs) often present with cranial nerve (CN) VI deficits. Studies have not assessed the prognosis and predictive factors for CN VI recovery among patients presenting with CN VI deficits.
Methods: The medical records of patients who underwent resection for primary chordoma from 2001 to 2020 were reviewed.
J Neurosurg
January 2025
1Department of Neurosurgery, St. Olav's University Hospital, Trondheim, Norway.
Objective: The extent of resection (EOR) and postoperative residual tumor (RT) volume are prognostic factors in glioblastoma. Calculations of EOR and RT rely on accurate tumor segmentations. Raidionics is an open-access software that enables automatic segmentation of preoperative and early postoperative glioblastoma using pretrained deep learning models.
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