Article
Oncology
Min Xiao, Pin Zhang
Summary: This study evaluated the conditional cause-specific survival of breast cancer patients after chemotherapy and local treatment for metastases, and identified prognostic factors affecting this survival. The results showed an increase in survival rate as the years of survival increased. HER2 status, multisite metastasis, and local treatment were identified as independent prognostic factors for long-term survival.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Caihong Zheng, Chengbin Fu, Yahui Wen, Jiameng Liu, Shunguo Lin, Hui Han, Zhonghua Han, Chunsen Xu
Summary: A nomogram was developed and validated to predict the overall survival of patients with metaplastic breast cancer (MBC). MBC patients had worse clinical prognosis compared to infiltrating ductal carcinoma. This nomogram can assist clinicians in making more accurate individualized survival analyses.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Mingkun Zhang, Yuan Qin, Niuniu Hou, Fuqing Ji, Zhihao Zhang, Juliang Zhang
Summary: This study aimed to establish a nomogram for accurately predicting the overall survival (OS) of patients with non-metastatic invasive micropapillary breast carcinoma (IMPC). Data from 429 patients in the Surveillance, Epidemiology, and End Results (SEER) database were analyzed to establish a nomogram for predicting OS at 3, 5, and 8 years. The nomogram showed good calibration and predictive accuracy in both the training and validation cohorts, and could help optimize treatment strategies based on individual risk factors.
FRONTIERS IN ONCOLOGY
(2023)
Article
Public, Environmental & Occupational Health
Fangxu Yin, Song Wang, Chong Hou, Yiyuan Zhang, Zhenlin Yang, Xiaohong Wang
Summary: This study developed two accurate prediction models for survival outcomes in locally advanced breast cancer patients, which were more accurate than conventional TNM staging. These models can guide clinical decision-making and treatment planning for these patients.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Surgery
Lingyu Han, Weixing Dai, Shaobo Mo, Wenqiang Xiang, Qingguo Li, Ye Xu, Guoxiang Cai, Renjie Wang
Summary: The study found that patients with metastatic colorectal cancer demonstrated a substantial increase in conditional survival over time. Factors affecting survival may change gradually, and nomograms based on survival time can accurately predict survival for patients with mCRC.
INTERNATIONAL JOURNAL OF SURGERY
(2021)
Article
Oncology
Yuan Zhou, Changming Lin, Lian Zhu, Rentao Zhang, Lei Cheng, Yuanyuan Chang
Summary: This study established predictive models and a scoring system to predict the survival rate of prostate cancer patients. These tools can help clinicians individually assess the survival status of patients and contribute to clinical decisions.
Article
Medicine, General & Internal
Jingkun Qu, Chaofan Li, Mengjie Liu, Yusheng Wang, Zeyao Feng, Jia Li, Weiwei Wang, Fei Wu, Shuqun Zhang, Xixi Zhao
Summary: This study analyzed the clinical features and prognostic factors of occult breast cancer (OBC) patients and constructed machine learning prognostic models with high precision and applicability to predict overall survival. The results showed that surgery and radiotherapy had a protective effect on OBC patients, while chemotherapy was only effective in certain molecular subtypes.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Oncology
Jing Wang, Xiang-zhi Ni, Ming-lei Yang, Xing Huang, Shu-ming Hou, Cheng Peng, Jia-shi Cao, Tie-Long Liu
Summary: This study comprehensively analyzed the demographic features, clinicopathologic characteristics and prognosis factors of spinal osteosarcoma using the SEER database. The results showed that male gender, high tumor grade, regional and metastasis stage, as well as radiotherapy, were independent predictors of poor survival in spinal osteosarcoma patients. The clinical treatment of spinal osteosarcoma still faces serious challenges.
FRONTIERS IN ONCOLOGY
(2023)
Article
Medicine, General & Internal
Peng Wen, Jiao Wen, Xiaolong Huang, Fengze Wang
Summary: This study successfully constructed two nomogram models to predict overall survival (OS) and cancer-specific survival (CSS) of bladder cancer patients, which have clinical significance.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Oncology
Lan An, Wen Ju, Rongshou Zheng, Hongmei Zeng, Siwei Zhang, Ru Chen, Kexin Sun, Li Li, Shaoming Wang, Wenqiang Wei
Summary: The survival rate for elderly cancer patients in the United States has slightly improved from 1995 to 2014, potentially due to advancements in treatment. Except for patients aged 85 and above, the cancer survival rate has improved for elderly patients in all age groups. For all types of cancer, the relative survival rate for localized stage improved from 84.7% to 86.7% and for distant stage improved from 12.4% to 18.7% comparing 1995-1999 with 2010-2014. The trends in stage distribution and treatment rate for all cancers combined remained relatively stable.
Article
Oncology
Shiyu Cao, Xianzhen Liao, Kekui Xu, Haifan Xiao, Zhaohui Shi, Yanhua Zou, Can Li, Yingyun Hu, Shipeng Yan
Summary: This study aimed to establish tumor-size-stratified nomograms for predicting the overall survival of patients with uterine sarcoma. The study found that the significant prognostic factors differed between the two tumor size groups. The nomograms constructed and validated in this study could be useful for predicting the probability of survival for patients with uterine sarcoma.
Article
Urology & Nephrology
Isaac E. Kim, Daniel D. Kim, Sinae Kim, Shuangge Ma, Thomas L. Jang, Eric A. Singer, Saum Ghodoussipour, Isaac Yi Kim
Summary: Prior to the USPSTF's recommendation in 2012, insured patients with prostate cancer had better outcomes compared to uninsured patients. However, after the recommendation, the survival disparity among insured patients decreased while the survival of uninsured patients remained unchanged.
Article
Surgery
Ambria S. Moten, Payton Grande, Ashley Hendrix, Martin D. Fleming
Summary: This study found racial disparities in the treatment and survival of breast cancer patients in the Midsouth. Black patients were less likely to undergo surgery and hormone therapy, but more likely to receive radiation and chemotherapy. Among Black patients, the risk of mortality was lower for those who underwent mastectomy and received hormone therapy.
AMERICAN JOURNAL OF SURGERY
(2023)
Article
Surgery
WenYi Wang, JiaJing Liu, YuQiu Chen, XiaoFan Xu, LiQun Huo, XuLin Wang, Jun Gu
Summary: This study aims to construct nomograms to predict overall survival and breast cancer-specific survival in breast cancer patients with de novo lung metastasis, and to help clinicians develop appropriate treatment regimens for these individuals.
FRONTIERS IN SURGERY
(2023)
Article
Oncology
Jiameng Liu, Xiaobin Zheng, Zhonghua Han, Shunguo Lin, Hui Han, Chunsen Xu
Summary: The prognosis of ICC patients is better than that of IDC patients. A nomogram based on SEER database was established to predict the survival outcomes of ICC patients, and it showed higher accuracy compared with the traditional TNM model.