Identification of unique long non-coding RNAs as putative biomarkers for chromophobe renal cell carcinoma

2020 ◽  
Author(s):  
Guanlin Wu ◽  
Pengfei Xia ◽  
Shixian Yan ◽  
Dongming Chen ◽  
Lei Xie ◽  
...  

Aim: To investigate whether long non-coding RNAs (lncRNAs) can be utilized as molecular biomarkers in predicting the occurrence and progression of chromophobe renal cell carcinoma. Methods & results: Genetic and related clinical traits of chromophobe renal cell carcinoma were downloaded from the Cancer Genome Atlas and used to construct modules using weighted gene coexpression network analysis. In total, 44,889 genes were allocated into 21 coexpression modules depending on intergenic correlation. Among them, the green module was the most significant key module identified by module–trait correlation calculations ( R 2 = 0.43 and p = 4e-04). Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses demonstrated that genes in the green module were enriched in many pathways. Coexpression, protein–protein interaction networks, screening for differentially expressed genes, and survival analysis were used to select hub lncRNAs. Five hub lncRNAs ( TTK, CENPE, KIF2C, BUB1, and RAD51AP1) were selected out. Conclusion: Our findings suggest that the five lncRNAs may act as potential biomarkers for chromophobe renal cell carcinoma progression and prognosis.

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Quan Hong ◽  
Shuqiang Wang ◽  
Shuxin Liu ◽  
Xiangmei Chen ◽  
Guangyan Cai

Clear cell renal cell carcinoma (ccRCC) accounts for 60-70% of renal cell carcinoma (RCC) cases. It is an urgent mission to find more therapeutic targets for advanced ccRCC. Leucine-rich a-2-glycoprotein 1 (LRG1) is a secreted protein associated with a variety of malignancies. Our study focused on the expression and mechanism of LRG1 in ccRCC based on data from The Cancer Genome Atlas (TCGA) and provided primary verification including LRG1 expression detection, LRG1 gene methylation detection, and downstream signaling detection. We found that LRG1 was overexpressed in ccRCC kidney tissue samples, and the methylation level of LRG1 gene was significantly decreased in ccRCC. Moreover, the expression of LRG1 was negatively related to patient survival. Based on our previous study and the verification reported in this article, we propose that demethylation-induced overexpression of LRG1 is likely to accelerate ccRCC progression via the TGF-β pathway.


Cell Reports ◽  
2018 ◽  
Vol 23 (12) ◽  
pp. 3698 ◽  
Author(s):  
Christopher J. Ricketts ◽  
Aguirre A. De Cubas ◽  
Huihui Fan ◽  
Christof C. Smith ◽  
Martin Lang ◽  
...  

Tumor Biology ◽  
2017 ◽  
Vol 39 (5) ◽  
pp. 101042831769837 ◽  
Author(s):  
Yang Wang ◽  
Wen Gao ◽  
Jiali Xu ◽  
Yizhi Zhu ◽  
Lingxiang Liu

Long noncoding RNA urothelial carcinoma-associated 1 has previously played important roles in cancer. However, its role is still unknown in clear cell renal cell carcinoma. We utilized the most recent molecular and clinical data of clear cell renal cell carcinoma from The Cancer Genome Atlas project, and the relationship between urothelial carcinoma-associated 1 expression and the clinicopathological features was analyzed. Our results indicated that urothelial carcinoma-associated 1 overexpression was associated with male ( p = 0.003), wild-type PBRM1 ( p = 0.021), and BAP1 mutation ( p = 0.022) in clear cell renal cell carcinoma, although lower expression was found in tumors compared with normal controls, validated in tumor tissues from The Cancer Genome Atlas and 21 clear cell renal cell carcinoma patients at our hospital. Moreover, urothelial carcinoma-associated 1 overexpression indicated poor prognosis independently (Hazard Ratio [HR]: 1.92, p = 0.000) in clear cell renal cell carcinoma; it might be a potential detrimental gene considered as a predictive biomarker involved in clear cell renal cell carcinoma.


2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A951-A951
Author(s):  
Bradley Reinfeld ◽  
Matthew Madden ◽  
Melissa Wolf ◽  
Agi de Cubas ◽  
Scott Haake ◽  
...  

BackgroundGlucose fixation is a hallmark clear cell renal carcinoma (ccRCC).1 2 Our group has shown unique metabolic enzyme utilization between malignant cells and infiltrating cells. Additionally, we uncovered the glycolytic nature of tumor infiltrating myeloid cells.3 Therefore, we decided to investigate the role of the hexokinase isoforms (HK1,2/3, GCK, and HKDC1) in the ccRCC tumor microenvironment (TME).MethodsFor this study, we performed immunogenomic analyses across ccRCC samples available via The Cancer Genome Atlas (TCGA).4 5 Additionally, we examined the expression of hexokinases in the neoadjuvant VEGF inhibitor setting6 as well as correlation to a poor prognostic macrophage subset.7 Our group also performed single cell-ATAC seq on methocult cultures to further characterize the metabolic features of hematopoiesis. We additionally implemented qPCR on magnetically sorted bone marrow as well as myeloid cell culture to further interrogate the role of HK3 in macrophage biology and in-situ RNA hybridization (RNA-ISH) to describe the subpopulation of HK3+ cells in the ccRCC TME.ResultsGene set enrichment analysis confirmed HK1/2’s role in anabolic metabolism. GCK was barely detectable in these samples while HKDC1 expression decreased in ccRCC tumors. Intriguingly, patients with elevated expression of HK3 had an enrichment of interferon gamma response signature. In our evaluation of the TCGA, only HK3 expression correlated with poor outcome in ccRCC. CiberSortX demonstrated that HK3 expressing tumors correlated with the presence M2 macrophages while other HK family enzymes had marginal association with immune infiltrate. HK3 was the only hexokinase found to be significantly elevated with neoadjuvant pazopanib treatment in addition to being enriched in ccRCC patients with high levels of poor prognostic macrophages. RNA-ISH confirms HK3 expression is limited to myeloid cells in ccRCC tumors. The myeloid specific nature of HK3 is supported by transcript analysis from MC38 tumors, and qPCR on mouse bone marrow. Myeloid specificity for HK3 isoform expression is not restricted to malignancy; HK3 is one of a handful of genes that define myeloid identity from scATAC sequencing of in vitro differentiated CD34+ hematopoietic stem cells. Our ongoing in vitro studies indicate that M1 polarization (+LPS/IFNg) increases expression of HK1/2/3, consistent with the anabolic phenotype of activate macrophages. However, stimulation with IFNg alone only elevates the expression of HK3.ConclusionsHK3 is a myeloid specific interferon gamma responsive gene, whose expression imparts poor prognosis for ccRCC cancer patients, while HK1/HK2 contribute significantly to the glucose uptake/pseudohypoxic phenotype seen throughout the ccRCC TME.AcknowledgementsN/aTrial RegistrationN/AReferencesCourtney KD, et al. Isotope tracing of human clear cell renal cell carcinomas demonstrates suppressed glucose oxidation in vivo. Cell metabolism 2018;28(5):793–800.e2.Linehan WM, et al. The metabolic basis of kidney cancer. Cancer Discov 2019;9(8):1006–1021.Reinfeld BI, et al. Cell-programmed nutrient partitioning in the tumour microenvironment. Nature 2021.Ricketts CJ, et al. The cancer genome atlas comprehensive molecular characterization of renal cell carcinoma. Cell reports 2018;23(1):313–326.e5.Creighton CJ, et al. Comprehensive molecular characterization of clear cell renal cell carcinoma. Nature 2013;499(7456):43–49.Wood CG, et al. Neoadjuvant pazopanib and molecular analysis of tissue response in renal cell carcinoma. JCI Insight 2020;5(22).Obradovic A, et al. Single-cell protein activity analysis identifies recurrence-associated renal tumor macrophages. Cell 2021;184(11):2988–3005.e16.Ethics ApprovalThis clinical trial [in Reference 6] was approved by the IRBs at the University of Carolina at Chapel Hill (Office of Human Research Ethics) and MD Anderson (Office of Human Subjects Protection), and the research was conducted according to the Declaration of Helsinki principles. All participants provided written informed consent before the initiation of any research procedures.The studies were conducted in accordance with the guidelines approved by the Institutional Review Board (IRB) protocols, AAAO5706 and AAAA9967, respectively. Patients provided consent prior to taking part in the study. This is the clinical data take from the study in reference 7.All other studies referenced in the above abstract were conducted in accordance with the Declaration of Helsinki principles under a protocol approved by the Vanderbilt University Medical Center (VUMC) Institutional Review Board (protocol no. 151549). Informed consent was received from all patients before inclusion in the study by the Cooperative Human Tissue Network at VUMC. This is the clinical data take from the study in reference 3 and 7All mouse procedures were performed under Institutional Animal Care and Use Committee (IACUC)-approved protocols from VUMC and conformed to all relevant regulatory standards. The mouse protocol ID is 19000125


2020 ◽  
Author(s):  
Lingfeng Meng ◽  
Zijian Tian ◽  
Xingbo Long ◽  
Tongxiang Diao ◽  
Maolin Hu ◽  
...  

Abstract Background: Caspase 4 (CASP4) dysregulation is related to the occurrence, development, and outcome of many malignant tumors, but its role in clear cell renal cell carcinoma (ccRCC) is unclear. This study was conducted to investigate the expression level of CASP4 in tumor tissues and its relationship with clinical prognosis of patients with ccRCC. Methods: First, the Oncomine and The Cancer Genome Atlas databases were used to determine CASP4 mRNA expression in ccRCC and its association with ccRCC prognosis. We then performed immunohistochemical staining and evaluation of 30 paired ccRCC and adjacent normal tissues to confirm these results. The correlation between CASP4 expression and ccRCC prognosis was evaluated using Kaplan-Meier analysis, and related genes and pathways were obtained from The Cancer Genome Atlas database by gene set enrichment analysis and gene set variation analysis. Finally, we explored the co-expression of genes with CASP4 in ccRCC. Results: CASP4 mRNA expression in ccRCC was significantly higher than that in normal tissues (p < 0.001). Kaplan-Meier analysis showed that the overall survival of patients with ccRCC showing high CASP4 expression was significantly reduced (p < 0.001). We then used external datasets (Gene Expression Omnibus database and patients from our center) to verify the level of CASP4 expression and survival differences (all p < 0.05). We also found that differential expression levels of CASP4 were correlated with pathological grade and clinical TNM stage (all p < 0.05). Conclusions: Overall, our study shows that CASP4 is highly expressed in ccRCC and is an important factor affecting prognosis. Thus, CASP4 may be a potential prognostic biomarker of ccRCC.


2016 ◽  
Vol 34 (30) ◽  
pp. 3655-3663 ◽  
Author(s):  
Laurence Albiges ◽  
A. Ari Hakimi ◽  
Wanling Xie ◽  
Rana R. McKay ◽  
Ronit Simantov ◽  
...  

Purpose Obesity is an established risk factor for clear cell renal cell carcinoma (RCC); however, some reports suggest that RCC developing in obese patients may be more indolent. We investigated the clinical and biologic effect of body mass index (BMI) on treatment outcomes in patients with metastatic RCC. Methods The impact of BMI (high BMI: ≥ 25 kg/m2 v low BMI: < 25 kg/m2) on overall survival (OS) and treatment outcome with targeted therapy was investigated in 1,975 patients from the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) and in an external validation cohort of 4,657 patients. Gene expression profiling focusing on fatty acid metabolism pathway, in The Cancer Genome Atlas data set, and immunohistochemistry staining for fatty acid synthase (FASN) were also investigated. Cox regression was undertaken to estimate the association of BMI with OS, adjusted for the IMDC prognostic factors. Results In the IMDC cohort, median OS was 25.6 months (95% CI, 23.2 to 28.6) in patients with high BMI versus 17.1 months (95% CI, 15.5 to 18.5) in patients with low BMI (adjusted hazard ratio, 0.84; 95% CI, 0.73 to 0.95). In the validation cohort, high BMI was associated with improved OS (adjusted hazard ratio, 0.83; 95% CI, 0.74 to 0.93; medians: 23.4 months [95% CI, 21.9 to 25.3 months] v 14.5 months [95% CI, 13.8 to 15.9 months], respectively). In The Cancer Genome Atlas data set (n = 61), FASN gene expression inversely correlated with BMI (P = .034), and OS was longer in the low FASN expression group (medians: 36.8 v 15.0 months; P = .002). FASN immunohistochemistry positivity was more frequently detected in IMDC poor (48%) and intermediate (34%) risk groups than in the favorable risk group (17%; P-trend = .015). Conclusion High BMI is a prognostic factor for improved survival and progression-free survival in patients with metastatic RCC treated with targeted therapy. Underlying biology suggests a role for the FASN pathway.


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