This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count. The prognostic genes are involved in various biological processes and pathways, influence T cell differentiation, and may contribute to CRC development. High-risk patients show a higher degree of immune cell infiltration. This model aids in the early diagnosis, prognosis assessment, and treatment planning for CRC, and offers a direction for further research.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1038/s41598-024-84300-8 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11700200 | PMC |
Ren Fail
December 2025
Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, Guangdong Province, China.
Background: Acute kidney injury (AKI) is a common complication in critically ill patients, with approximately 5% requiring continuous renal replacement therapy (CRRT). This study investigated the relationship between mean arterial pressure (MAP) and 28- and 90-day mortality in critically ill AKI patients treated with CRRT.
Methods: This secondary analysis of a bicenter, retrospective, observational study included patients with AKI who were treated with CRRT from January 2009 to September 2016.
Acta Neuropathol Commun
January 2025
Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
Recent genomic studies have allowed the subdivision of intracranial ependymomas into molecularly distinct groups with highly specific clinical features and outcomes. The majority of supratentorial ependymomas (ST-EPN) harbor ZFTA-RELA fusions which were designated, in general, as an intermediate risk tumor variant. However, molecular prognosticators within ST-EPN ZFTA-RELA have not been determined yet.
View Article and Find Full Text PDFBiol Direct
January 2025
Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, 610041, China.
Background: Liquid-liquid phase separation (LLPS) is essential for the formation of membraneless organelles and significantly influences cellular compartmentalization, chromatin remodeling, and gene regulation. Previous research has highlighted the critical function of liquid-liquid biopolymers in the development of hepatocellular carcinoma (HCC).
Methods: This study conducted a comprehensive review of 3,685 liquid-liquid biopolymer regulators, leading to the development of a LLPS related Prognostic Risk Score (LPRS) for HCC through bootstrap-based univariate Cox, Random Survival Forest (RSF), and LASSO analyses.
BMC Cancer
January 2025
Department of Respiratory Medicine and Oncology, Yokohama Municipal Citizen's Hospital, 1-1, Mitsuzawa Nishimachi, Kanagawa Ku, Yokohama, 221-0855, Japan.
Introduction: The systemic immune-inflammation index (SII) has emerged as a promising prognostic marker in various malignancies. However, its prognostic significance in patients with small-cell lung cancer (SCLC) treated with immune checkpoint inhibitors (ICIs) remains unclear. In this study, we evaluated the prognostic impact of the SII in patients with SCLC after ICI use.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Background: Rectal cancer is a highly heterogeneous gastrointestinal tumor, and the prognosis for patients with treatment-resistant and metastatic rectal cancer remains poor. Mitophagy, a type of selective autophagy that targets mitochondria, plays a role in promoting or inhibiting tumors; however, the importance of mitophagy-related genes (MRGs) in the prognosis and treatment of rectal cancer is unclear.
Methods: In this study, we used the differentially expressed genes (DEGs) and MRGs from the TCGA-READ dataset to identify differentially expressed mitophagy-related genes (MRDEGs).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!