Identification of Biomarkers for Cervical Cancer Radiotherapy Sensitivity and Survival Prognosis.

Introduction Radiotherapy resistance leads to treatment failure and disease progression in patients with cervical cancer. This study aims to elucidate the molecular underpinnings of radiotherapy response in cervical cancer by identifying radiotherapy sensitivity genes (RSGs). Methods We utilized two GEO expression profiling datasets (GSE3578 and GSE6213) comprising cervical cancer biopsy samples taken before and during radiotherapy to identify differentially expressed genes (DEGs) using the RankProd meta-analysis approach.

Realistic medical image super-resolution with pyramidal feature multi-distillation networks for intelligent healthcare systems.

There are two key requirements for medical lesion image super-resolution reconstruction in intelligent healthcare systems: clarity and reality. Because only clear and real super-resolution medical images can effectively help doctors observe the lesions of the disease. The existing super-resolution methods based on pixel space optimization often lack high-frequency details which result in blurred detail features and unclear visual perception.

Clinicopathological and prognostic significance of CXCR4 high expression in renal cell carcinoma: A meta-analysis and literature review.

Introduction: Previous results have indicated that CXCR4 is an oncogene in several types of human tumors including renal cell carcinoma (RCC). However, the correlation between CXCR4 expression and clinicopathological characteristics of RCC remains unclear.

Materials And Methods: We conducted a meta-analysis to quantitatively evaluate the association of CXCR4 expression with the incidence of RCC and clinicopathological characteristics.