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Objectives: Laryngeal Chondrosarcoma (LC) is a rare malignancy with limited studies documenting its clinicopathologic characteristics and treatment options. This study reports demographic and clinical determinants of outcomes for this rare tumor.
Methods: The National Cancer Database (NCDB) was queried for cases of LC reported from 2004-2016. 274 cases that met inclusion criteria were analyzed for demographic and clinicopathologic characteristics. Kaplan-Meier (KM) and Cox proportional hazard analyses were conducted to identify variables that impacted the overall survival of these patients.
Results: LC was found to be more common in males (74.8%). The mean age of patients was 61.8 years and 92.3% of the patients were white. 91.3% of patients were treated with only surgical resection, most commonly: partial laryngectomy (31.6%), total laryngectomy (25.7%), and local resection (22.4%). 98.8% of patients had no evidence of nodal disease and 99.6% of patients did not have distant metastasis at presentation. KM analysis revealed a 5-year overall survival (5YOS) of 89.0%. Age, insurance status, facility type, and surgery type were significant predictors of 5YOS (p<0.05). On Cox Proportional Hazard analysis, private insurance significantly improved survival (HR 0.21; p = 0.048) while increasing age was a poor prognostic indicator (HR 1.10; p = 0.004).
Conclusion: The majority of LC patients present with no nodal involvement or distant metastasis at diagnosis, and overall this tumor has a favorable prognosis. Increasing age was found to be a poor prognostic factor while private insurance status was associated with improved survival.
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http://dx.doi.org/10.1016/j.anl.2021.02.014 | DOI Listing |
Int J Surg Pathol
September 2025
Department of Pathology, Tata Memorial Hospital & Advanced Centre for Treatment and Research, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Undifferentiated carcinomas with osteoclast-like giant cells of the pancreaticobiliary tract (UCOGCs) are rare but distinctive tumors with limited literature. To study the clinicopathologic characteristics of UCOGCs including morphology, immunohistochemistry (IHC), management, and survival outcomes. Assessment of 12 patients of UCOGC found over 10 years from a tertiary care oncology center database.
View Article and Find Full Text PDFPediatr Dev Pathol
September 2025
The Hospital for Sick Children, Division of Pathology, Toronto, Canada.
Background: Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma of childhood. For stratification purposes, rhabdomyosarcoma is classified into fusion-positive RMS (alveolar rhabdomyosarcoma) and fusion-negative RMS (embryonal or spindle cell/sclerosing, FN-RMS) subtypes according to its fusion status. This study aims to highlight the pathologic and molecular characteristics of a cohort of FN-RMS using a targeted NGS RNA-Seq assay.
View Article and Find Full Text PDFAdv Pharm Bull
July 2025
Department of Molecular Medicine, Institute of Medical Genetics, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
Purpose: Calumenin (CALU) is a calcium-binding protein involved in several physiological processes, exhibiting tumor-specific expression variation and emerging as a potential player in cancer progression. This study aimed to investigate the correlation between CALU and clinicopathological features in breast cancer (BC) and perform a functional assessment of CALU based on a microRNA-mediated knockdown approach.
Methods: The BC tissues' CALU expression was measured by q-RT-PCR.
Asia Pac J Clin Oncol
September 2025
Department of Surgery, School of Medicine, Daegu Catholic University, Daegu, Republic of Korea.
Purpose: This study aimed to identify breast cancer-specific circulating tumor DNA (ctDNA) methylation markers that correspond to tissue DNA methylation.
Methods: Using The Cancer Genome Atlas (TCGA) database, we selected breast cancer-specific DNA methylation markers. The methylation and expression patterns of candidate genes were analyzed in breast cancer cell lines and tissue samples.
J Int Med Res
September 2025
Department of Hematology, Guangzhou Eighth People's Hospital, Guangzhou Medical University, China.
ObjectiveAccurate prognostication is crucial for managing human immunodeficiency virus (HIV)-associated cutaneous T-cell lymphoma. In this study, we aimed to develop an improved machine learning-based prognostic model for predicting the 5-year survival rates in HIV-associated cutaneous T-cell lymphoma patients.MethodsWe derived and tested machine learning models using algorithms including Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Random Forest.
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