Article
Geriatrics & Gerontology
Ruoning Yang, Yunhao Wu, Yana Qi, Weijing Liu, Ya Huang, Xin Zhao, Ruixian Chen, Tao He, Xiaorong Zhong, Qintong Li, Li Zhou, Jie Chen
Summary: The treatment decisions for elderly patients with breast cancer are highly variable, and researchers have developed a predictive model to estimate the breast cancer-specific death risk, which can assist clinicians in decision-making.
Article
Oncology
Xuan Wang, Neng Wang, Linda L. D. Zhong, Kexin Su, Shengqi Wang, Yifeng Zheng, Bowen Yang, Juping Zhang, Bo Pan, Wei Yang, Zhiyu Wang
Summary: The study established a depression-related gene signature to predict overall survival in breast cancer patients, indicating its correlation with pathological parameters and sensitivity to therapy. The high-risk group had higher levels of immunosuppressive cells and low-risk patients responded better to chemotherapy and endocrine therapy.
FRONTIERS IN ONCOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Jie Liu, Jing Zhu, Xin Wang, Zhisheng Zhou, Haiyan Liu, Dajiang Zhu
Summary: This study verifies the importance of YTHDF3 as a prognostic biomarker in breast cancer (BC) patients and establishes a YTHDF3-based model for predicting the 5-year overall survival (OS) of BC patients, as well as the therapeutic response to commonly used drugs.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2022)
Article
Oncology
Anqi Geng, Jingjing Xiao, Bingyao Dong, Shifang Yuan
Summary: This study aimed to construct a nomogram model to predict the overall survival rate (OS) of patients with triple-positive breast cancer (TPBC) by comparing the clinicopathological characteristics and prognostic influences of patients in China and the United States. The Surveillance, Epidemiology, and End Results (SEER) database and patients from Xijing Hospital were used for the study. Cox multifactorial analysis showed that age, chemotherapy, radiotherapy, M-stage, T-stage, N-stage, and the mode of surgery were all independent risk factors. The nomogram model had a high C-index and reliable performance in both the training and validation cohorts, suggesting it can be a useful clinical decision support tool.
FRONTIERS IN ONCOLOGY
(2023)
Article
Health Care Sciences & Services
Leyi Ni, Chengyun Tang, Yuning Wang, Jiaming Wan, Morgan G. Charles, Zilong Zhang, Chen Li, Ruijie Zeng, Yiyao Jin, Penghao Song, Ming Wei, Bocen Li, Jin Zhang, Zhenghao Wu
Summary: This study investigated the differential expression of microRNA (miRNA) in patients with endometrial cancer and found that 12 significantly differentially expressed miRNAs may be associated with the prognosis of patients.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Oncology
Shouqiang Zhu, Ziyu Zheng, Wenyu Hu, Chong Lei
Summary: This study investigated the conditional cancer-specific survival (CSS) of patients with inflammatory breast cancer and found that conditional CSS provided more accurate prognostic information than traditional CSS, especially for high-risk patients. A nomogram and web-based calculator were developed to predict 5-year survival, highlighting the importance of follow-up care and providing valuable tools for patient counseling.
CLINICAL BREAST CANCER
(2023)
Article
Endocrinology & Metabolism
Rui Liu, Zhesi Xiao, Daixing Hu, Haojun Luo, Guobing Yin, Yang Feng, Yu Min
Summary: A nomogram for predicting the 3-, 5- year cancer-specific survival probability in young women with early-stage breast cancer has been successfully established and validated. This model could help clinicians make accurate treatment decisions for different clinical risk populations.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Immunology
Li Chen, Xiangyi Kong, Shaolong Huang, Zhaohui Su, Mengliu Zhu, Yi Fang, Lin Zhang, Xingrui Li, Jing Wang
Summary: This study investigates the prognostic significance of the breast immune prognostic index (BIPI) in breast cancer patients who received neoadjuvant chemotherapy (NACT). The results suggest that patients with low BIPI score have better prognoses and longer disease-free survival (DFS) and overall survival (OS). The BIPI-based nomogram may serve as a convenient prognostic tool for breast cancer and help in clinical decision-making.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Oncology
Tao Li, Yahang Liang, Daqiang Wang, Zhen Zhou, Haoran Shi, Mingming Li, Hualin Liao, Taiyuan Li, Xiong Lei
Summary: A prognostic nomogram was constructed to predict the survival outcomes of young-onset colorectal cancer patients with synchronous liver-only metastases. The nomogram demonstrated good predictive accuracy in validation and testing cohorts. It could provide personalized survival prediction and assist in developing treatment strategies.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Mengjuan Wu, Ting Zhao, Qian Zhang, Tao Zhang, Lei Wang, Gang Sun
Summary: This study aimed to identify the factors affecting the prognosis and survival of breast cancer patients at the Affiliated Cancer Hospital of Xinjiang Medical University from 2015 to 2021. A nomogram model was constructed using Cox proportional hazards models to determine the independent prognostic factors. The model's discrimination, calibration, and clinical utility were evaluated using tools such as receiver operating characteristic curve, calibration curve, and decision curve analysis. Two-step cluster analysis was used to group patients based on the prognostic factors, and Kaplan-Meier survival analysis compared the prognostic risk among different subgroups. The results identified several independent prognostic factors and confirmed the effectiveness of the nomogram model. The study concludes that the nomogram has valuable predictive value for the survival and prognosis of breast cancer patients in Xinjiang, providing a scientific basis for tailored treatment and focused treatment regimens.
FRONTIERS IN ONCOLOGY
(2023)
Article
Endocrinology & Metabolism
Zhuowei Tang, Yuzhu Ji, Yu Min, Xiaohong Zhang, Weiyun Xu, Lijuan Zhao, Jing Zhang, Li Long, Jing Feng, Yixue Wen
Summary: This study aimed to investigate the clinicopathological features and prognostic factors of elderly primary operable TNBC patients. The results showed that radiation therapy and adjuvant chemotherapy were associated with better long-term survival rates, and predictive models for survival were successfully developed.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Endocrinology & Metabolism
Xiangdi Meng, Yuanyuan Cai, Xiaolong Chang, Yinghua Guo
Summary: This study aimed to estimate conditional survival (CS) and develop a novel CS-nomogram for non-metastatic triple-negative breast cancer patients. The CS analysis showed an improvement in survival over time since diagnosis and the CS-nomogram included predictors such as age, marriage, race, tumor and lymph node status, chemotherapy, surgery, and radiotherapy. The model had satisfactory predictive performance and could aid clinical decision-making and reduce patient anxiety.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Cell Biology
Xin Hua, Fangfang Duan, Jiajia Huang, Xiwen Bi, Wen Xia, Chenge Song, Li Wang, Chang Jiang, Zhongyu Yuan
Summary: The study found an association between serum iron level and prognosis in patients with early-stage triple-negative breast cancer. Patients with low iron levels had significantly longer disease-free survival and overall survival compared to those with high iron levels. Serum iron level was identified as an independent predictor for patient prognosis. A prognostic nomogram incorporating serum iron level was developed for individualized prognosis predictions and showed good discriminatory ability.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Oncology
Lang Xiong, Haolin Chen, Xiaofeng Tang, Biyun Chen, Xinhua Jiang, Lizhi Liu, Yanqiu Feng, Longzhong Liu, Li Li
Summary: In this study, a radiomics signature based on preoperative ultrasound was developed to predict disease-free survival in invasive breast cancer patients. The study showed that the radiomics signature had additional value for individualized prediction of disease-free survival.
FRONTIERS IN ONCOLOGY
(2021)
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
Jianguo Lai, Hongli Wang, Jingwen Peng, Peixian Chen, Zihao Pan
CANCER MANAGEMENT AND RESEARCH
(2018)
Article
Cell Biology
Jianguo Lai, Bo Chen, Guochun Zhang, Yulei Wang, Hsiaopei Mok, Lingzhu Wen, Zihao Pan, Fengxi Su, Ning Liao
Article
Cell Biology
Jianguo Lai, Bo Chen, Hsiaopei Mok, Guochun Zhang, Chongyang Ren, Ning Liao
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
(2020)
Article
Cell Biology
Jianguo Lai, Xiaoyi Lin, Fangrong Cao, Hsiaopei Mok, Bo Chen, Ning Liao
Summary: This study aimed to predict overall survival and treatment responses in breast cancer patients using a CDKN1C-based model. Results showed that low CDKN1C expression was associated with shorter survival, and the nomogram had superior predictive accuracy compared to traditional staging systems.
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
(2021)
Article
Oncology
Jianguo Lai, Bo Chen, Yingzi Li, Xiaoyi Lin, Min Li, Jing Liu, Ning Liao
Summary: This study identified five key cell cycle-related genes (CDK4, CCND1, CDKN1A, CDKN1C, and CHEK2) as independent prognostic variables in HR+/HER2- BC patients. A risk score based on these five genes effectively classified patients into low-risk and high-risk groups. The potential functional pathways of these genes include cell cycle regulation and G1/S transition.
Article
Cell Biology
Jiayue Luo, Jianguo Lai
Summary: The role of pyroptosis in breast cancer remains unclear. In this study, the correlation between pyroptosis-related genes and immune cells in breast cancer patients was investigated. Four prognostic genes were identified and a novel nomogram was developed to predict patient outcomes. Patients in the high-risk group exhibited worse overall survival and had downregulated immune checkpoint expression. Higher drug resistance was also observed in the high-risk group. This study provides valuable insights into the regulation of the tumor immune microenvironment and its implications for precision immunotherapy in breast cancer.
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
(2022)
Article
Medicine, Research & Experimental
Jiayue Luo, Dong Cao, Chuwen Hu, Zhen Liang, Yuanping Zhang, Jianguo Lai
Summary: In this study, we identified a ceRNA network that provides new insights into the molecular mechanism of ALN metastasis and potential therapeutic targets in TNBC. Through WTS and differential expression analysis, we found numerous DEMs, DEMis, and DECs between ALN-positive and ALN-negative TNBC patients. Functional analysis showed that DEMs are mainly involved in carcinogenesis and tumor progression-related pathways. Further analysis led to the identification of survival-related mRNAs, miRNAs, and circRNAs in a ceRNA network. Real-time PCR was used to validate two candidate DECs.
JOURNAL OF TRANSLATIONAL MEDICINE
(2022)
Correction
Medicine, Research & Experimental
Jiayue Luo, Dong Cao, Chuwen Hu, Zhen Liang, Yuanping Zhang, Jianguo Lai
JOURNAL OF TRANSLATIONAL MEDICINE
(2023)
Article
Pharmacology & Pharmacy
Jianguo Lai, Yuchen Cao, Jiexin Zhang, Jinglong Wang, Yawen Du, Yan He, Yuting Luo, Ning Liao
Summary: A TLSscore model based on TLS genes is established to accurately predict the clinical prognosis and drug sensitivity of pan-cancer. TLS signature is associated with key pathways of immunotherapy and shows significant differences among groups in immune checkpoint genes.
ADVANCED THERAPEUTICS
(2023)
Article
Oncology
Jianguo Lai, Jinjiang Lin, Hongli Wang, Yi Sun, Yudong Li, Huan Tian, Shiyu Shen, Cui Tan, Huanhuan Liu, Fengyan Yu
Summary: The study established an MRI-based nomogram incorporating morphological and dynamic contrast-enhanced features to predict the risk of malignancy in patients with breast tumor. By analyzing independent predictors such as age, tumor size, margin, internal enhancement characteristics, and kinetic curve, the model achieved accurate individualized risk prediction of malignancy, which can potentially reduce unnecessary breast biopsy.
Article
Medicine, Research & Experimental
Jianguo Lai, Bo Chen, Guochun Zhang, Xuerui Li, Hsiaopei Mok, Ning Liao
JOURNAL OF TRANSLATIONAL MEDICINE
(2020)
Article
Oncology
Jianguo Lai, Zihao Pan, Peixian Chen, Guolin Ye, Kai Chen, Fengxi Su
JAPANESE JOURNAL OF CLINICAL ONCOLOGY
(2019)