Staging based on the tumor (T), node (N), and metastasis (M) schema of the American Joint Committee on Cancer (AJCC) is usually the most important prognostic factor for any tumor type. Although a rare tumor, in penile cancers, this staging has evolved rapidly in the last two editions of the AJCC Cancer Staging manuals. These changes and updates are largely based on the advancement in our knowledge of the complex anatomy of the penis, the role of histopathological variables in disease biology, and the results of multicentric studies comprising large data sets. In this review, we present the evolution of the AJCC staging model from its inception to the present day. The evidence and data that entailed these changes are also discussed. We highlight a few issues with the current staging model and also briefly discuss the future perspectives and the road map which, with the help of global efforts, can further refine the staging models.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.humpath.2022.06.010 | DOI Listing |
Environ Monit Assess
January 2025
International Joint Research Center For Green Energy and Chemical Industry, School of Chemical Engineering, East China University of Science and Technology, Shanghai, 200237, People's Republic of China.
Escalating SOx and NOx emissions from industrial plants necessitates customized scrubbing solutions to improve removal efficiency and tackle cost limitations in existing wet FGD units. This work investigates the real-time intensified removal pathways via an innovative two-stage countercurrent spray tower configuration strategically integrating NaOH (M) and NaOH/NaClO (M/M) to remove SOx and NOx emissions simultaneously from the industrial stack through a comprehensive parametric study of absorbents concentration, reaction temperature, gas flow rate, liquid to gas ratio (F/F), and absorbent showering head. Flue gas stream comprising SO bearing 4500 ppm, SO bearing 300 ppm, 70 ppm NO, and 50 ppm NO brought into contact with two scrubbing solutions as M, and a complex absorbent of M/M at varying respective ratios.
View Article and Find Full Text PDFSupport Care Cancer
January 2025
Oral Diagnosis Department, Faculdade de Odontolodia de Piracicaba, Universidade de Campinas (UNICAMP), Piracicaba, São Paulo, Brazil.
Purpose: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM risk in patients undergoing head and neck radiotherapy.
View Article and Find Full Text PDFAnn Hematol
January 2025
Department of Radiology, Radiotherapy and Hematology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
In a previous preliminary study, radiomic features from the largest and the hottest lesion in baseline F-FDG PET/CT (bPET/CT) of classical Hodgkin's Lymphoma (cHL) predicted early response-to-treatment and prognosis. Aim of this large retrospectively-validated study is to evaluate the predictive role of two-lesions radiomics in comparison with other clinical and conventional PET/CT models. cHL patients with bPET/CT between 2010 and 2020 were retrospectively included and randomized into training-validation sets.
View Article and Find Full Text PDFAnimal Model Exp Med
January 2025
Institute of Medical Biology Chinese Academy of Medical Sciences Peking Union Medical College Yunnan Key Laboratory of Vaccine Research Development on Severe Infectious Disease Medical Primate Research Center, Chinese Academy of Medical Sciences, Kunming, China.
Background: Non-human primates (NPHs), such as rhesus macaques, cynomolgus monkeys, and Assamese macaques, play a crucial role in biomedical research. However, baseline cytokine and electrolyte data for these three species, particularly data stratified by age and sex, are limited. Therefore, the aim of this study was to establish and analyze age- and sex-specific cytokine and electrolyte profiles in these three species.
View Article and Find Full Text PDFCancer Epidemiol Biomarkers Prev
January 2025
Memorial Sloan Kettering Cancer Center, New York, United States.
Background: To evaluate the impact of Hispanic ethnic enclaves (EE) on the relationship between neighborhood disadvantage and overall survival (OS) in breast cancer (BCa) patients.
Methods: Data from BCa patients with stage I-IV disease diagnosed between 2005-2017 was used to analyze the effects of Area Deprivation Index (ADI) scores, a measure of neighborhood disadvantage, and census-tract level Hispanic density, a measure of EE, on OS using mixed-effects Cox regression models. The final model included the following individual-level factors (age, income, race, Hispanic/Latino origin, nativity, insurance status, and comorbidities (hypertension, diabetes, and body mass index) and clinical factors (National Comprehensive Cancer Network guideline-concordant treatment, stage, and receptor subtype).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!