Table1_A Novel Ferroptosis-Based Molecular Signature Associated with Biochemical Recurrence-Free Survival and Tumor Immune Microenvironment of Prostate Cancer.docx

التفاصيل البيبلوغرافية
العنوان: Table1_A Novel Ferroptosis-Based Molecular Signature Associated with Biochemical Recurrence-Free Survival and Tumor Immune Microenvironment of Prostate Cancer.docx
المؤلفون: Zhi-Bin Ke (7402823), Qi You (492233), Jiang-Bo Sun (11914043), Jun-Ming Zhu (5686292), Xiao-Dong Li (1675453), Dong-Ning Chen (6339545), Li Su (71956), Qing-Shui Zheng (2577607), Yong Wei (44544), Xue-Yi Xue (546498), Ning Xu (52890)
سنة النشر: 2022
المجموعة: Smithsonian Institution: Digital Repository
مصطلحات موضوعية: Cell Biology, Marine Biology, Cell Development, Proliferation and Death, Cell Metabolism, Cell Neurochemistry, Cellular Interactions (incl. Adhesion, Matrix, Cell Wall), prostate cancer, ferroptosis, biochemical recurrence, tumor immune microenvironment, molecular signature
الوصف: Objective: To identify ferroptosis-related molecular clusters, and to develop and validate a ferroptosis-based molecular signature for predicting biochemical recurrence-free survival (BCRFS) and tumor immune microenvironment of prostate cancer (PCa). Materials and Methods: The clinical data and transcriptome data of PCa were downloaded from TCGA and GEO database. Ferroptosis-related genes (FRGs) were obtained from FerrDb database. We performed consensus clustering analysis to identify ferroptosis-related molecular subtypes for PCa. Univariate and multivariate Cox regression analysis were used to establish a ferroptosis-based signature for predicting BCRFS. Internal verification, external verification and subgroup survival analysis were then successfully performed. Results: There was a total of 40 differentially expressed FRGs in PCa. We then identified three ferroptosis-related molecular clusters of PCa, which have significantly different immune infiltrating cells, tumor immune microenvironment and PD-L1 expression level. More importantly, a novel ferroptosis-based signature for predicting BCRFS of PCa based on four FRGs (including ASNS, GPT2, NFE2L2, RRM2) was developed. Internal and external verifications were then successfully performed. Patients with high-risk score were associated with significant poor BCRFS compared with those with low-risk score in training cohort, testing cohort and validating cohort, respectively. The area under time-dependent Receiver Operating Characteristic (ROC) curve were 0.755, 0.705 and 0.726 in training cohort, testing cohort and validating cohort, respectively, indicating the great performance of this signature. Independent prognostic analysis indicated that this signature was an independent predictor for BCRFS of PCa. Subgroup analysis revealed that this signature was particularly suitable for younger or stage T III-IV or stage N0 or cluster 1-2 PCa patients. Patients with high-risk score have significantly different tumor immune microenvironment in comparison with those with ...
نوع الوثيقة: dataset
اللغة: unknown
Relation: https://figshare.com/articles/dataset/Table1_A_Novel_Ferroptosis-Based_Molecular_Signature_Associated_with_Biochemical_Recurrence-Free_Survival_and_Tumor_Immune_Microenvironment_of_Prostate_Cancer_docx/17942579
DOI: 10.3389/fcell.2021.774625.s001
الاتاحة: https://doi.org/10.3389/fcell.2021.774625.s001
Rights: CC BY 4.0
رقم الانضمام: edsbas.21676FC3
قاعدة البيانات: BASE
الوصف
DOI:10.3389/fcell.2021.774625.s001