Letter
Dermatology
Christopher R. Cullison, David X. Zheng, Melissa A. Levoska, Jeremy S. Bordeaux, Jeffrey F. Scott
Summary: This cohort study investigates inconsistencies in cutaneous melanoma staging within cancer registries and determines if miscoding of staging variables could impact final tumor staging.
Article
Multidisciplinary Sciences
Charles Q. Yang, Huan Wang, Zhenqiu Liu, Matthew T. Hueman, Aadya Bhaskaran, Donald E. Henson, Li Sheng, Dechang Chen
Summary: This study introduces machine learning as a novel tool to integrate additional prognostic factors into the TNM staging system for more accurate risk classification and survival prediction in patients with cutaneous melanoma. By utilizing the Ensemble Algorithm for Clustering Cancer Data (EACCD), a more advanced prognostic system was developed that improved patient stratification and survival prediction accuracy. The integration of additional factors separated favorable from unfavorable clinical outcomes, enhancing cohort selection for clinical trials and treatment management.
Article
Oncology
Di Hu, Zeming Liu, Sichao Chen, Yihui Huang, Wen Zeng, Wei Wei, Chao Zhang, Ling Zhou, Danyang Chen, Yiping Wu, Liang Guo
Summary: The authors proposed a more practical and prognosis-relevant TNM staging system for stage I-III cutaneous melanoma patients, based on a retrospective study. This new system could improve the quality of life and survival rates of melanoma patients.
FRONTIERS IN ONCOLOGY
(2022)
Article
Medicine, General & Internal
Hai Yu, Wei Yang, Shi Wu, Shaohui Xi, Xichun Xia, Qi Zhao, Wai-Kit Ming, Lifang Wu, Yunfeng Hu, Liehua Deng, Jun Lyu
Summary: This study used a deep learning and neural network model (DeepSurv) to predict the survival rate of patients with cutaneous malignant melanoma (CMM). The DeepSurv model was found to be more accurate in predicting the survival time of CMM patients compared to the Cox proportional-hazards (CoxPH) model.
FRONTIERS IN MEDICINE
(2023)
Article
Endocrinology & Metabolism
Suzheng Zheng, Hai Yu, Xinkai Zheng, U. Tim Wu, Wai-kit Ming, Hui Huang, Jiaxin Song, Xiaoxi Zhang, Jun Lyu, Liehua Deng
Summary: The 5-year relative survival rate of cutaneous melanoma in the US gradually improved from 2004 to 2018, with the greatest improvement seen in amelanotic melanoma. Females had slightly higher survival rates than males, white patients had higher survival rates than nonwhite ones, and urban locations had higher rates of survival from cutaneous melanoma than rural locations. The survival rate was significantly lower for distant metastasis.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Oncology
Jin-Xia Wang, Zi-Yang Cao, Chun-Xia Wang, Hong-Yang Zhang, Fei-Long Fan, Jun Zhang, Xiao-Yan He, Nan-Jing Liu, Jiang-Bin Liu, Lin Zou
Summary: This study evaluated the prognostic significance of tumor size in neuroblastoma patients. It found that tumor size larger than 4 cm is associated with poor prognosis. Tumor size should be considered as an important prognostic factor for neuroblastoma.
Article
Gastroenterology & Hepatology
Sarah Mirzaie, Joon Y. Park, Michael A. Mederos, Mark D. Girgis
Summary: This study compared the survival outcomes between surgical and endoscopic resection in different sizes of duodenal neuroendocrine tumors (dNETs), and found that endoscopic resection demonstrated similar survival outcomes to surgical resection across various dNET sizes.
JOURNAL OF GASTROINTESTINAL SURGERY
(2023)
Article
Cell Biology
Liang Peng, Wei Sun, Fanqin Wei, Lin Chen, Weiping Wen
Summary: The study investigated the role of IL-33 in human cutaneous melanoma, revealing its association with better prognosis and more active immune responses in metastasis sub-cohorts, while not serving as a prognostic factor in the primary melanoma sub-cohort. Moreover, the cellular sources of IL-33 may determine its distinct effects.
Article
Public, Environmental & Occupational Health
Xiaojun Tan, Jinkui Wang, Jie Tang, Xiaomao Tian, Liming Jin, Mujie Li, Zhaoxia Zhang, Dawei He
Summary: By analyzing the data from the SEER database and a children's hospital in China, it was found that children with Wilms tumor in China have a lower survival rate compared to those in the United States. Age, lymph node density (LND), and tumor stage were significant prognostic factors for patients in the SEER database. The prediction model established showed good accuracy and reliability after internal and external validation.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Oncology
Megan M. Eguchi, David E. Elder, Raymond L. Barnhill, Michael W. Piepkorn, Stevan R. Knezevich, Joann G. Elmore, Kathleen F. Kerr
Summary: This study identified a subset of early-stage melanoma patients with a very low risk of melanoma death using cancer registry data. The findings showed that patients with lower risk tended to be younger with minimal invasion into the skin. A small subset of patients with higher mortality risk was also identified.
Article
Endocrinology & Metabolism
Kun Zhang, Anping Su, Xiaofei Wang, Wanjun Zhao, Linye He, Tao Wei, Zhihui Li, Jingqiang Zhu, Ya-Wen Chen
Summary: This study retrospectively analyzed patients with parathyroid carcinoma and found a non-linear correlation between tumor size and risk of death, with a specific size threshold at which survival rates sharply decrease.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Oncology
Junjie Kong, Yukun Cao, Jiawei Chai, Xihan Liu, Cunhu Lin, Jianping Wang, Jun Liu
Summary: The study retrospectively analyzed the relationship between tumor size and survival in solitary ICC patients, finding tumor size to be an independent prognostic factor after resection and proposing optimal cut-off values in different subgroups. These findings suggest potential improvements to the existing AJCC staging system and highlight the importance of tumor size in predicting outcomes for ICC patients.
FRONTIERS IN ONCOLOGY
(2021)
Article
Endocrinology & Metabolism
Meiyun Liu, Peng Zhang, Suyu Wang, Wei Guo, Yibin Guo
Summary: In this study, we constructed a practical predictive model for small cell lung cancer (SCLC) patients using the SEER database. The model was validated internally and externally, and showed relatively high C-index values. This predictive model can assist in individualized treatment for SCLC patients.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Oncology
Xiaoyi Huang, Siting You, Guiling Ding, Xingchen Liu, Jin Wang, Yisha Gao, Jianming Zheng
Summary: The liver is the most common site of distant metastases in IPMN with associated invasive carcinoma. Tumor located in the pancreatic body/tail and chemotherapy are independent prognostic factors for cancer-specific survival in patients with multiple metastases, and tumor located in body/tail is identified as a risk factor of distant metastases.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Yuhua Liu, Hao Cui, Xinxin Xu, Wenquan Liang
Summary: Lymph node density (LND) is an independent prognostic factor for gastric cancer (GC) without distal metastasis and has potential value in further accurately classifying these patients.
WORLD JOURNAL OF SURGICAL ONCOLOGY
(2022)