COL7A1 Expression Improves Prognosis Prediction for Patients with Clear Cell Renal Cell Carcinoma Atop of Stage

Koca, Dzenis; Séraudie, Irinka; Jardillier, Rémy; Cochet, Claude; Filhol, Odile; Guyon, Laurent

doi:10.3390/cancers15102701

Cited by 6 publications

(2 citation statements)

References 50 publications

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“…26 The in vitro knockdown of COL7A1 expression significantly affected ccRCC cell migration. 27 SPTBN1 abrogates renal clear-cell carcinoma progression via glycolytic reprogramming in a GPT2dependent manner. 28 ASGR1 could regulate the differentiation of monocytes into macrophages through the NF-κB/ ATF5 pathway, thus promoting liver injury in patients with sepsis.…”

Section: Discussionmentioning

confidence: 98%

Analysis and Verification of Glycosylation Characteristics of Septic Acute Kidney Injury

Chen,

Gan

2023

JIR

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Background Septic acute kidney injury (S-AKI) results from an imbalance in the regulation of systemic inflammatory responses. Glycosylation plays an important role in inflammatory responses. However, the relationship between S-AKI and glycosylation is unclear. Methods The datasets of the public platform were analyzed using R language to obtain glycosylation-related differentially expressed genes (GRDEGs) in S-AKI. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed for GRDEGs. Hub genes were obtained using three machine learning algorithms and their diagnostic values were evaluated using receiver operating characteristic (ROC) curves. The relationships between the hub genes, immune cells, and signaling pathways were analyzed, and the upstream miRNAs, transcription factors, and compounds of the hub genes were predicted. Mouse models of AKI with sepsis were constructed and the expression of the hub genes was verified. Results We obtained 45 GRDEGs that were mainly enriched in glycoprotein metabolism and immune inflammatory response, such as “O-glycan biosynthesis”, “phagosome”, “pathogenic Escherichia coli infection”, “glycosyltransferase activity”, etc. Seven hub genes that have potential diagnostic value were identified and were associated with the regulation of immune cells. Through gene set enrichment analysis (GSEA) of hub genes, it was found that these genes may be involved in metabolism, signaling transduction, and inflammation-related signaling pathways, such as “metabolism of amino and derivatives”, “RHO GTPase cycle”, “transport of small molecules”, “neutrophil degranulation”, “immune system”, etc. We then predicted 100 miRNAs, 60 TFs, and 23 compounds of the hub genes using forecasting tools. Finally, animal experiments confirmed the differential expression of ASGR1, UMOD, SPTBN1, and ADAMTS17. Conclusion This study identified and validated four biomarkers associated with abnormal glycosylation that could be potential targets for AKI in sepsis.

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Section: Discussionmentioning

confidence: 98%

Analysis and Verification of Glycosylation Characteristics of Septic Acute Kidney Injury

Chen,

Gan

2023

JIR

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“…The results showed that the model risk score was significantly related to prognosis, indicated that the imbalanced expression of BMRGs may play different biological roles in the tumorigenesis, progression and tumor microenvironment in BLCA. Studies have shown that high COL7A1 expression is associated with poor prognosis in clear cell renal cell carcinoma (ccRCC), and in vitro knockdown of COL7A1 expression significantly affects the migratory ability of ccRCC cells [ 25 ]. Other studies have also shown that FBN2, CSPG4 and UNC5C as oncogenes were significantly associated with poor prognosis, which is in line with our findings [ 26 – 28 ].…”

Section: Discussionmentioning

confidence: 99%

Basement membrane-related MMP14 predicts poor prognosis and response to immunotherapy in bladder cancer

Zhang,

Hong,

et al. 2024

BMC Cancer

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Background Basement membrane (BM) is an important component of the extracellular matrix, which plays an important role in the growth and metastasis of tumor cells. However, few biomarkers based on BM have been developed for prognostic assessment and prediction of immunotherapy in bladder cancer (BLCA). Methods In this study, we used the BLCA public database to explore the relationship between BM-related genes (BMRGs) and prognosis. A novel molecular typing of BLCA was performed using consensus clustering. LASSO regression was used to construct a signature based on BMRGs, and its relationship with prognosis was explored using survival analysis. The pivotal BMRGs were further analyzed to assess its clinical characteristics and immune landscape. Finally, immunohistochemistry was used to detect the expression of the hub gene in BLCA patients who underwent surgery or received immune checkpoint inhibitor (ICI) immunotherapy in our hospital. Results We comprehensively analyzed the relationship between BMRGs and BLCA, and established a prognostic-related signature which was an independent influence on the prognostic prediction of BLCA. We further screened and validated the pivotal gene-MMP14 in public database. In addition, we found that MMP14 expression in muscle invasive bladder cancer (MIBC) was significantly higher and high MMP14 expression had a poorer response to ICI treatment in our cohort. Conclusions Our findings highlighted the satisfactory value of BMRGs and suggested that MMP14 may be a potential biomarker in predicting prognosis and response to immunotherapy in BLCA.

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RETRACTED: Exploring the tumor microenvironment: Chemokine‐related genes and immunotherapy/chemotherapy response in clear‐cell renal cell carcinoma

Meng,

Zhang,

et al. 2024

Environmental Toxicology

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BackgroundThe treatment of clear‐cell renal cell carcinoma (ccRCC) remains challenge. Chemokines laid impact on the proliferation and metastasis of cancer cells. The objective was to identify the chemokine‐related genes and construct a prognostic model for ccRCC.MethodsBulk transcriptomic data (n = 531), single‐cell RNA sequencing (scRNA‐seq) dataset GSE159115, and other validation cohorts were acquired from the Cancer Genome Atlas Program (TCGA) and GEO databases. All clustering analysis was conducted by Seurat R package. Gene set enrichment analysis (GSEA), immune infiltration analysis, single nucleotide variations (SNV) analysis, and predictive response analysis of immunotherapy/chemotherapy were conducted. 786‐O and A498 cell lines were cultured and applied into CCK‐8, Western blot, and RT‐qPCR kits.ResultsUnivariate Cox analysis was used to screen out chemokine‐related genes related to survival. ZIC2, SMIM24, COL7A1, IGF2BP3, ITPKA, ADAMTS14, CYP3A7, and AURKB were identified and applied for the construction of the prognostic model. High‐risk group had a poorer prognosis than the low‐risk group in each dataset. Memory CD8+ T cells, macrophages, and memory B cells were higher in the high‐risk group, while the content of basophils was higher in the low‐risk group. Bortezomib_1191, Dactinomycin_1911, Docetaxel_1007, and Daporinad_1248 were more sensitive to high‐risk groups than low‐risk groups. Moreover, we found that IGF2BP3 significantly elevated in both 786‐O and A498 cell lines resistance to sunitinib. Knockdown of IGF2BP3 markedly reduced ccRCC cell migration and viability.ConclusionOur study has yielded a novel prognostic model of chemokine‐related genes based on comprehensive transcriptional atlas of ccRCC patients, shedding light on the significant impact of the tumor microenvironment on biology and immunotherapy response of ccRCC. We identified IGF2BP3 as a pivotal regulator in regulating ccRCC resistance to sunitinib.

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COL7A1 Expression Improves Prognosis Prediction for Patients with Clear Cell Renal Cell Carcinoma Atop of Stage

Cited by 6 publications

References 50 publications

Analysis and Verification of Glycosylation Characteristics of Septic Acute Kidney Injury

Analysis and Verification of Glycosylation Characteristics of Septic Acute Kidney Injury

Basement membrane-related MMP14 predicts poor prognosis and response to immunotherapy in bladder cancer

RETRACTED: Exploring the tumor microenvironment: Chemokine‐related genes and immunotherapy/chemotherapy response in clear‐cell renal cell carcinoma

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