Publications by authors named "Degeng Kong"
Article Synopsis
- Prostate cancer (PCa) mortality is rising due to recurrence and metastasis, prompting research on collagen's role in tumor progression and its gene relationships with PCa prognosis.
- Gene expression data led to the identification of four key collagen-associated genes (PLOD3, COL1A1, MMP11, FMOD), used to create a risk scoring model linked to improved biochemical recurrence-free survival outcomes.
- The findings suggest that the risk score may serve as an effective prognostic tool for PCa patients, with PLOD3 identified as a promising target for therapeutic interventions.
Article Synopsis
- The study aimed to develop a nomogram to predict survival outcomes for penile cancer patients using data from SEER and a Chinese hospital, focusing on a cohort of 5,744 patients.
- Researchers identified nine independent risk factors influencing cancer prognosis, such as age, race, and TNM stage, and constructed a nomogram that showed better predictive accuracy than the traditional TNM staging model.
- This research emphasizes the need for more detailed studies on penile cancer and provides a valuable tool for surgeons to improve patient prognosis predictions.
Purpose: The Chromobox (CBX) family proteins are crucial elements of the epigenetic regulatory machinery and play a significant role in the development and advancement of cancer. Nevertheless, there is limited understanding regarding the role of CBXs in development or progression of prostate cancer (PCa). Our objective is to develop a unique prognostic model associated with CBXs to improve the accuracy of predicting outcomes of patients with PCa.
View Article and Find Full Text PDFPurpose: Prostate cancer (PCa) is one of the major tumor diseases that threaten men's health globally, and biochemical recurrence significantly impacts its prognosis. Disulfidptosis, a recently discovered cell death mechanism triggered by intracellular disulfide accumulation leading to membrane rupture, is a new area of research in the context of PCa. Currently, its impact on PCa remains largely unexplored.
View Article and Find Full Text PDFBackground: SPOCK3 is a secreted extracellular matrix proteoglycan. This study aimed to investigate the effect of SPOCK3 on the malignant progression of prostate cancer and to construct a prognostic model to predict DFS of patients with prostate cancer.
Methods: Clinical and transcriptome sequencing data for prostate cancer were download from the TCGA and GEO databases.