The American Joint Committee on Cancer (AJCC) tumor, node, metastasis (TNM) staging for all cancer sites has been periodically updated as a published manual for many years. The last update, the eighth edition AJCC Cancer Staging Manual went into use on January 1, 2018. The AJCC has since restructured and updated its processes, and all AJCC staging-related data are now housed on its new application programming interface. Consequently, the next AJCC TNM staging update, AJCC version 9 TNM staging, will be published electronically and will be released chapter by chapter. The first chapter of version 9 AJCC TNM staging is the updated cervical cancer staging, which is now published. This article highlights the changes to the AJCC TNM cervical cancer staging; these changes align with the International Federation of Gynecology and Obstetrics staging. The most important of the changes are: 1) the incorporation of imaging and surgical findings, 2) the elimination of lateral spread from T1a, 3) the addition of a subcategory to T1b (T1b3), and 4) histopathology is updated to reflect human papillomavirus-associated and human papillomavirus-independent carcinomas.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3322/caac.21663 | DOI Listing |
Colorectal Dis
January 2025
Ellen Leifer Shulman and Steven Shulman Digestive Disease Centre, Cleveland Clinic Florida, Weston, Florida, USA.
Aim: Lymphovascular invasion (LVI) is a well-known risk factor in colorectal cancer that is associated with a worse prognosis. The present study aimed to assess the characteristics of patients with LVI-positive colon cancer according to the status of nodal metastases and to study the association between LVI-nodal status and survival.
Method: This retrospective study assessed the association between LVI and lymph node metastases in colon cancer, using data from the National Cancer Database.
J Oral Microbiol
January 2025
Integrative Microecology Clinical Center, Shenzhen Clinical Research Center for Digestive Disease, Shenzhen Technology Research Center of Gut Microbiota Transplantation, The Clinical Innovation & Research Center, Shenzhen Key Laboratory of Viral Oncology, Department of Clinical Nutrition, Shenzhen Hospital, Southern Medical University, Shenzhen, China.
Background: This study aims to develop an oral microbiota-based model for gastric cancer (GC) risk stratification and prognosis prediction.
Methods: Oral microbial markers for GC prognosis and risk stratification were identified from 99 GC patients, and their predictive potential was validated on an external dataset of 111 GC patients. The identified bacterial markers were used to construct a Deep Neural Network (DNN) model, a Random Forest (RF) model, and a Support Vector Machine (SVM) model for predicting GC prognosis.
World J Gastroenterol
January 2025
Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou 510080, Guangdong Province, China.
Background: Type II diabetes mellitus (T2DM) has been associated with increased risk of colon cancer (CC) and worse prognosis in patients with metastases. The effects of T2DM on postoperative chemoresistance rate (CRR) and long-term disease-free survival (DFS) and overall survival (OS) in patients with stage III CC who receive curative resection remain controversial.
Aim: To investigate whether T2DM or glycemic control is associated with worse postoperative survival outcomes in stage III CC.
Ann Med
December 2025
Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
Objective: To evaluate the predictive value of pathological response and lymph node status on progression-free survival (PFS) in patients with potentially resectable non-small cell lung cancer (NSCLC) receiving neoadjuvant immunotherapy.
Methods: A retrospective analysis was conducted on 143 patients with potentially resectable NSCLC who underwent neoadjuvant immunotherapy followed by surgical resection. Pathological response, lymph node involvement, and clinical outcomes were comprehensively assessed using Kaplan-Meier analysis and Cox regression.
BMC Cancer
January 2025
Department of Clinical Laboratory Medicine, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Background: We developed a prognostic model to evaluate the overall survival (OS) and progression-free survival (PFS) of patients with unresectable hepatocellular carcinoma (u-HCC) treated with Hepatic arterial infusion chemotherapy of infusion oxaliplatin, fluorouracil and leucovorin (FOLFOX-HAIC).
Methods: This model was based on a retrospective study of u-HCC patients treated with the FOLFOX-HAIC (oxaliplatin 130 mg/m, leucovorin 400 mg/m, fluorouracil bolus 400 mg/m on day 1, and fluorouracil infusion 2,400 mg/m for 23-46 h, once every 3-4 weeks). We divided the patients into a training cohort and a validation cohort, used LASSO regression construct prognostic models, predict patient's OS and PFS based on nomograms of models.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!