LINGJIE XU¹, YIQIN XIA¹, QIN QIN¹, GUIQUN WANG¹, KAI TAO², WEI WEI^1,*

Oncology Research, Vol.33, No.7, pp. 1649-1666, 2025, DOI:10.32604/or.2025.056176 - 26 June 2025

Abstract Background: The centrosome, a crucial cellular structure involved in the mitotic process of eukaryotic cells, plays a significant role in tumor progression by regulating the growth and differentiation of neoplastic cells. This makes the centrosome a promising target for therapeutic strategies in cancer treatment. Methods: Utilizing data from the TCGA database, we identified centrosome-related genes and constructed a prognostic model for 518 lung adenocarcinoma patients. Prognosis-associated genes were initially screened using univariate Cox regression, with overfitting minimized by applying LASSO regression to remove collinearity. Finally, a set of 12 genes was selected through multivariable Cox… More >

KEGANG JIA^1,#, YAWEI WANG^2,#, QI CAO^3,*, YOUYU WANG^1,*

Oncology Research, Vol.32, No.2, pp. 409-419, 2024, DOI:10.32604/or.2023.042863 - 28 December 2023

Abstract Background: Lung cancer is the most prevalent cancer diagnosis and the leading cause of cancer death worldwide. Therapeutic failure in lung cancer (LUAD) is heavily influenced by drug resistance. This challenge stems from the diverse cell populations within the tumor, each having unique genetic, epigenetic, and phenotypic profiles. Such variations lead to varied therapeutic responses, thereby contributing to tumor relapse and disease progression. Methods: The Genomics of Drug Sensitivity in Cancer (GDSC) database was used in this investigation to obtain the mRNA expression dataset, genomic mutation profile, and drug sensitivity information of NSCLS. Machine Learning… More >

LIHUA CHEN^1,2,#, HONGTIAN ZHANG^1,2,#, YONG XIA^1,2, KAI SUN¹, WENJIN CHEN¹, RUXIANG XU^1,2,*

BIOCELL, Vol.47, No.5, pp. 1065-1073, 2023, DOI:10.32604/biocell.2023.025924 - 10 April 2023

Abstract Purpose: The present study summarized cases of children (n = 32) with medulloblastoma (MB) who were treated using stratified therapy based on risk grading and also discussed the factors affecting prognosis. Methods: According to the risk stratification criteria, the cases were divided into the following four risk groups: low, standard, high, and very high. The 5-year overall survival (OS) and progression-free survival (PFS) rates were summarized. Further, the effects on the prognosis of tumor size, tumor stage, degree of resection, treatment mode, metastatic recurrence, molecular typing, and risk stratification were analyzed. Results: In the present study, following… More >