A novel ferroptosis-related gene signature associated with cell cycle for prognosis prediction in patients with clear cell renal cell carcinoma
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It is of great urgency to explore useful prognostic markers for patients with clear cell renal cell carcinoma (ccRCC). Prognostic models based on ferroptosis-related gene (FRG) in ccRCC is poorly reported for now.
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A novel ferroptosis-related gene signature associated with cell cycle for prognosis prediction in patients with clear cell renal cell carcinomaChenetal. BMC Cancer (2022) 22:1https://doi.org/10.1186/s12885-021-09033-7 RESEARCH Open AccessA novel ferroptosis-related gene signatureassociated withcell cycle forprognosisprediction inpatients withclear cell renal cellcarcinomaSitengChen1†, EnchengZhang1†, TuanjieGuo1†, JialiangShao1, TaoWang1, NingZhang2*, XiangWang1*andJunhuaZheng1* Abstract Background: It is of great urgency to explore useful prognostic markers for patients with clear cell renal cell carci- noma (ccRCC). Prognostic models based on ferroptosis-related gene (FRG) in ccRCC is poorly reported for now. Methods: Comprehensive analysis of 22 FRGs were performed in 629 ccRCC samples from two independent patient cohorts. We carried out least absolute shrinkage and selection operator analysis to screen out prognosis-related FRGs and constructed prognosis model for patients with ccRCC. Weighted gene co-expression network analysis was also carried out for potential functional enrichment analysis. Results: Based on the TCGA cohort, a total of 11 prognosis-associated FRGs were selected for the construction of the prognosis model. Significantly differential overall survival (hazard ratio = 3.61, 95% CI: 2.68–4.87, p Chenetal. BMC Cancer (2022) 22:1 Page 2 of 11malignant cases in renal [3]. As one of the most aggres- of iron-dependent lipid hydroperoxides [6]. Currentsive malignancies, ccRCC is responsible for most of the studies have also reported the important role of ferrop-death cases caused by renal tumor [4]. Even for local- tosis-related gene (FRG) in ccRCC. Through facilitat-ized cases, about 25% of patients with ccRCC could ing ferroptosis, SUV39H1 deficiency could restrain cellalso be troubled by tumor recurrence after receiving growth of ccRCC invitro and invivo [7]. Reduced expres-operative treatment [5]. Tumor staging system is cur- sion of NCOA4, which is one of the FRG, was reported torently the most fashionable method for survival pre- be associated with tumor progression and poor prognosisdiction of patients with ccRCC. However, different of ccRCC [8]. In addition, cell density-regulated ferrop-survival outcomes could also be found in patients with tosis was found to be regulated via TAZ in cell death ofsimilar tumor staging. Therefore, it is of great urgency renal cancer [9]. However, the prognostic model based onto explore useful prognostic markers and develop novel FRG in ccRCC is poorly reported for now.prognostic models for patients with ccRCC. Here, we preformed comprehensive analysis of FRG Ferroptosis is a newfound process of programmed from two independent patient cohorts to develop andcell death, which differs from the traditional cell death verify a prognostic model based on FRG and exploredprocesses since it is caused by the lethal accumulation the potential mechanism underlying the FRG signature.Table 1 Basic clinical characteristics of patients in the TCGAcohort and CPTAC Cohort Methods TCGA Cohort (531) CPTAC Cohort (98) Patient cohorts anddata sources Two patient cohorts from The Cancer Genome AtlasAge(years) (TCGA, https://portal.gdc.cancer.gov/) and Clinical Pro- ≥65 198(37.3%) 41(41.8%) teomic Tumor Analysis Consortium (CPTAC) [10] were Chenetal. BMC Cancer (2022) 22:1 Page 3 of 11 Fig. 1 Differential expressions of ferroptosis-related genes between clear cell renal cell carcinoma and normal renal tissue. A The up-regulated ferroptosis-related genes in clear cell renal cell carcinoma compared with normal renal tissue. B The down-regulated ferroptosis-related genes in clear cell renal cell carcinoma compared with normal renal tissue (See figure on next page.) Fig. 2 Prognosis model based on ferroptosis-related genes for ccRCC. A, B The tenfold cross-validated error and coefficients at varying levels of penalization plotted against the log (lambda) sequence for the least absolute shrinkage and selection operator analysis, respectively. C Kaplan ...
Nội dung trích xuất từ tài liệu:
A novel ferroptosis-related gene signature associated with cell cycle for prognosis prediction in patients with clear cell renal cell carcinomaChenetal. BMC Cancer (2022) 22:1https://doi.org/10.1186/s12885-021-09033-7 RESEARCH Open AccessA novel ferroptosis-related gene signatureassociated withcell cycle forprognosisprediction inpatients withclear cell renal cellcarcinomaSitengChen1†, EnchengZhang1†, TuanjieGuo1†, JialiangShao1, TaoWang1, NingZhang2*, XiangWang1*andJunhuaZheng1* Abstract Background: It is of great urgency to explore useful prognostic markers for patients with clear cell renal cell carci- noma (ccRCC). Prognostic models based on ferroptosis-related gene (FRG) in ccRCC is poorly reported for now. Methods: Comprehensive analysis of 22 FRGs were performed in 629 ccRCC samples from two independent patient cohorts. We carried out least absolute shrinkage and selection operator analysis to screen out prognosis-related FRGs and constructed prognosis model for patients with ccRCC. Weighted gene co-expression network analysis was also carried out for potential functional enrichment analysis. Results: Based on the TCGA cohort, a total of 11 prognosis-associated FRGs were selected for the construction of the prognosis model. Significantly differential overall survival (hazard ratio = 3.61, 95% CI: 2.68–4.87, p Chenetal. BMC Cancer (2022) 22:1 Page 2 of 11malignant cases in renal [3]. As one of the most aggres- of iron-dependent lipid hydroperoxides [6]. Currentsive malignancies, ccRCC is responsible for most of the studies have also reported the important role of ferrop-death cases caused by renal tumor [4]. Even for local- tosis-related gene (FRG) in ccRCC. Through facilitat-ized cases, about 25% of patients with ccRCC could ing ferroptosis, SUV39H1 deficiency could restrain cellalso be troubled by tumor recurrence after receiving growth of ccRCC invitro and invivo [7]. Reduced expres-operative treatment [5]. Tumor staging system is cur- sion of NCOA4, which is one of the FRG, was reported torently the most fashionable method for survival pre- be associated with tumor progression and poor prognosisdiction of patients with ccRCC. However, different of ccRCC [8]. In addition, cell density-regulated ferrop-survival outcomes could also be found in patients with tosis was found to be regulated via TAZ in cell death ofsimilar tumor staging. Therefore, it is of great urgency renal cancer [9]. However, the prognostic model based onto explore useful prognostic markers and develop novel FRG in ccRCC is poorly reported for now.prognostic models for patients with ccRCC. Here, we preformed comprehensive analysis of FRG Ferroptosis is a newfound process of programmed from two independent patient cohorts to develop andcell death, which differs from the traditional cell death verify a prognostic model based on FRG and exploredprocesses since it is caused by the lethal accumulation the potential mechanism underlying the FRG signature.Table 1 Basic clinical characteristics of patients in the TCGAcohort and CPTAC Cohort Methods TCGA Cohort (531) CPTAC Cohort (98) Patient cohorts anddata sources Two patient cohorts from The Cancer Genome AtlasAge(years) (TCGA, https://portal.gdc.cancer.gov/) and Clinical Pro- ≥65 198(37.3%) 41(41.8%) teomic Tumor Analysis Consortium (CPTAC) [10] were Chenetal. BMC Cancer (2022) 22:1 Page 3 of 11 Fig. 1 Differential expressions of ferroptosis-related genes between clear cell renal cell carcinoma and normal renal tissue. A The up-regulated ferroptosis-related genes in clear cell renal cell carcinoma compared with normal renal tissue. B The down-regulated ferroptosis-related genes in clear cell renal cell carcinoma compared with normal renal tissue (See figure on next page.) Fig. 2 Prognosis model based on ferroptosis-related genes for ccRCC. A, B The tenfold cross-validated error and coefficients at varying levels of penalization plotted against the log (lambda) sequence for the least absolute shrinkage and selection operator analysis, respectively. C Kaplan ...
Tìm kiếm theo từ khóa liên quan:
BMC Cancer Clear cell renal cell carcinoma Cell cycle Ferroptosis-related gene Tumor staging system Nuclear division pathwayTài liệu liên quan:
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