Identification of a Novel Defined Immune-Autophagy-Related Gene Signature Associated With Clinical and Prognostic Features of Kidney Renal Clear Cell Carcinoma

Zhang, Guangyuan; Zhang, Lei; Sun, Si; Chen, Ming

doi:10.3389/fmolb.2021.790804

Cited by 9 publications

(7 citation statements)

References 51 publications

(52 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The risk score distribution, survival status, and expression profile heatmaps showed a trend similar to that of the training set (Figures 6C-E). To illustrate the superiority of the NRG signature, we compared the other two immune-autophagy-related gene signature (Zhang et al, 2021) and pyroptosis-related gene signature (Sun et al, 2021) recently published. After obtaining the genes constituting the prognosis signature from literature, the Kaplan-Meier curves and ROC curves were constructed by TCGA-KIRC cohort (Supplementary Figure S1).…”

Section: Validation Of the Nrg Signature In The E-mtab-1980 Cohortmentioning

confidence: 99%

Identification and Quantification of Necroptosis Landscape on Therapy and Prognosis in Kidney Renal Clear Cell Carcinoma

et al. 2022

View full text Add to dashboard Cite

Kidney renal clear cell carcinoma (KIRC) has high morbidity and gradually increased in recent years, and the rate of progression once relapsed is high. At present, owing to lack of effective prognosis predicted markers and post-recurrence drug selection guidelines, the prognosis of KIRC patients is greatly affected. Necroptosis is a regulated form of cell necrosis in a way that is independent of caspase. Induced necroptosis is considered an effective strategy in chemotherapy and targeted drugs, and it can also be used to improve the efficacy of immunotherapy. Herein, we quantified the necroptosis landscape of KIRC patients from The Cancer Genome Atlas (TCGA) database and divided them into two distinct necroptosis-related patterns (C1 and C2) through the non-negative matrix factorization (NMF) algorithm. Multi-analysis revealed the differences in clinicopathological characteristics and tumor immune microenvironment (TIME). Then, we constructed the NRG prognosis signature (NRGscore), which contained 10 NRGs (PLK1, APP, TNFRSF21, CXCL8, MYCN, TNFRSF1A, TRAF2, HSP90AA1, STUB1, and FLT3). We confirmed that NRGscore could be used as an independent prognostic marker for KIRC patients and performed excellent stability and accuracy. A nomogram model was also established to provide a more beneficial prognostic indicator for the clinic. We found that NRGscore was significantly correlated with clinicopathological characteristics, TIME, and tumor mutation burden (TMB) of KIRC patients. Moreover, NRGscore had effective guiding significance for immunotherapy, chemotherapy, and targeted drugs.

show abstract

Section: Validation Of the Nrg Signature In The E-mtab-1980 Cohortmentioning

confidence: 99%

Identification and Quantification of Necroptosis Landscape on Therapy and Prognosis in Kidney Renal Clear Cell Carcinoma

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The studies involving human participants were reviewed and approved by Ethics Committee and Institutional Review Board for Clinical Research of Zhongda Hospital (ZDKYSB077) ( 43 , 44 , 45 , 46 ). This study is a retrospective study that only collected clinical data from patients, and the ethical committee approved the exemption of informed consent.…”

Section: Ethics Statementmentioning

confidence: 99%

ASNS can predict the poor prognosis of clear cell renal cell carcinoma

Gan

Liu²,

Cheng³

et al. 2022

Front. Oncol.

Self Cite

View full text Add to dashboard Cite

PurposeClear cell renal cell carcinoma (ccRCC) is one of the most common malignancies of the urinary system. This study was conducted to discover a new target that can predict the prognosis and promote the treatment of ccRCC.MethodsThe raw data were downloaded from the TCGA database, and the predictive value of ASNS for various clinicopathological features was verified in the following analysis. Then, we analyzed the potential involvement of ASNS in tumor immunity and obtained the possible pathways involving ASNS through GO/KEGG enrichment analysis and GSEA. We also further verified our findings in pathological specimens of ccRCC patients.ResultsASNS expression was significantly increased in ccRCC, which was associated with advanced clinicopathological characteristics. It was an independent prognostic factor for overall survival in 535 patients with ccRCC. Immune cell infiltration analysis revealed that ASNS expression was related to T lymphocyte infiltration of tumors and poor prognosis. Moreover, we performed relevant functional enrichment analyses of ASNS.ConclusionsASNS might play a significant role in the development and immune cell infiltration of ccRCC and serve as a valuable clinical prognostic biomarker.

show abstract

“…These autophagosomes sequester cytoplasmic components for subsequent degradation upon fusion with lysosomes. Autophagy functions as a protective mechanism for breaking down surplus or impaired cellular components, although excessive autophagic activity may lead to cell death ( 11 ). Ferroptosis, an iron-dependent form of programmed cell death, has been associated with various pathologies related to tissue injury, contributing to cellular depletion through ferroptotic cell death.…”

Section: Introductionmentioning

confidence: 99%

Transcriptomic analysis reveals upregulated host metabolisms and downregulated immune responses or cell death induced by acute African swine fever virus infection

Cao,

Jia,

et al. 2023

Front. Vet. Sci.

View full text Add to dashboard Cite

The African swine fever virus is a virulent and communicable viral disease that can be transmitted by infected swine, contaminated pork products, or soft tick vectors. Nonstructural proteins encoded by ASFV regulate viral replication, transcription, and evasion. However, the mechanisms underlying the host response to ASFV infection remain incompletely understood. In order to enhance comprehension of the biology and molecular mechanisms at distinct time intervals (6, 12, 24 h) post infection, transcriptome analyses were executed to discern differentially expressed genes (DEGs) between ASFV and mock-infected PAMs. The transcriptomic analysis unveiled a total of 1,677, 2,122, and 2,945 upregulated DEGs and 933, 1,148, and 1,422 downregulated DEGs in ASFV- and mock-infected groups at 6, 12, and 24 h.p.i.. The results of the transcriptomic analysis demonstrated that the infection of ASFV significantly stimulated host metabolism pathways while concurrently inhibiting the expression of various immune responses and cell death pathways. Our study offers crucial mechanistic insights into the comprehension of ASFV viral pathogenesis and the multifaceted host immune responses. The genes that were dysregulated may serve as potential candidates for further exploration of anti-ASFV strategies.

show abstract

Identification of a Novel Defined Immune-Autophagy-Related Gene Signature Associated With Clinical and Prognostic Features of Kidney Renal Clear Cell Carcinoma

Cited by 9 publications

References 51 publications

Identification and Quantification of Necroptosis Landscape on Therapy and Prognosis in Kidney Renal Clear Cell Carcinoma

Identification and Quantification of Necroptosis Landscape on Therapy and Prognosis in Kidney Renal Clear Cell Carcinoma

ASNS can predict the poor prognosis of clear cell renal cell carcinoma

Transcriptomic analysis reveals upregulated host metabolisms and downregulated immune responses or cell death induced by acute African swine fever virus infection

Contact Info

Product

Resources

About