Prognostic Nomograms and Scoring System: Novel Approaches to Forecast Overall Survival and Cancer-Specific Survival in Patients With Testicular Cancer. [PDF]
Huang X +5 more
europepmc +1 more source
ABSTRACT Background It has previously been demonstrated that the nuclear factor of activated T cells (NFAT) is crucial for the development of tumors. Given OSCC's drug resistance and poor outcomes, identifying NFAT‐associated prognostic genes is urgent for better treatment.
Julaiti Tuerxun +2 more
wiley +1 more source
Development and validation of prognostic nomograms based on peripheral blood T-cell counts and their dynamic changes for patients with nasopharyngeal carcinoma receiving radiotherapy. [PDF]
Weng K +6 more
europepmc +1 more source
TCF/LEF family transcription factors: Molecular landscape and prognostic scoring in pan‐cancer
This study provides a comprehensive molecular landscape of TCF/LEF family transcription factors across 33 cancer types. We developed a TCF/LEF‐based prognostic score that correlates with immune infiltration, metabolic reprogramming and drug sensitivity, offering a robust transcriptomic signature for predicting patient survival and therapeutic response.
Zhengjun Yang +8 more
wiley +1 more source
Prediction of distant metastasis and survival of appendiceal cancer patients: a SEER population-based study. [PDF]
Guo Y, Ji Y, Ren Y, Yao L, Yu J.
europepmc +1 more source
A pan‐cancer transcriptional signature based on histone tyrosine sulfation (HYsulf) reveals associations with immune infiltration, metabolic reprogramming and patient prognosis, thereby enabling the development of predictive nomograms for PCPG and UVM.
Meijuan Cai +7 more
wiley +1 more source
Differential risk profiles for geriatric depression, anxiety, and sleep disturbances in rural China: insights from the Taierzhuang cohort. [PDF]
Zhang R +9 more
europepmc +1 more source
Abstract Background Rapid bedside assessment of intravascular volume status is critical during early sepsis management in the emergency department (ED) yet commonly used static parameters such as central venous pressure (CVP) and isolated inferior vena cava (IVC) measurements have limited reliability for predicting fluid responsiveness. Objectives This
Tuba Şafak +3 more
wiley +1 more source
Explainable machine-learning prediction of overall and cancer-specific survival in adult triple-negative breast cancer using SEER: a comparative study of nomograms and random survival forests. [PDF]
Zhang Y +7 more
europepmc +1 more source

