Chromophobes Nierenzellkarzinom – Diagnostik und Prognostik

Erlmeier, Franziska

doi:10.1007/s00292-019-00696-5

Cited by 4 publications

(4 citation statements)

References 26 publications

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“…Renal malignancies are malignant tumors originating from the urinary tubular epithelium of the renal parenchyma, of which renal cell carcinoma accounts for about 90% [ 1 ]. A study on the incidence, prevalence, mortality, and survival of kidney cancer worldwide in the past decade found a rising stage of global renal cell morbidity and mortality [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Research Progress of PI3K/PTEN/AKT Signaling Pathway Associated with Renal Cell Carcinoma

Fang

Yan

2022

Disease Markers

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Renal cell carcinoma is a common renal malignancy of the urinary system and the most malignant type of kidney cancer. Phosphatidylinositol 3-kinase (PI3K) is an intracellular phosphatidylinositol kinase associated with oncogene products such as v-src and with serine/threonine kinase activity, and its increased activity correlates with the development of several cancers. Protein kinase B (AKT) is a cyclic guanosine phosphate-dependent protein kinase that plays an important role in cell survival and apoptosis. Phosphatase and tensin homolog (PTEN), a newly discovered oncogene in recent years, participates in tumorigenesis and development by competing with tyrosine kinases for common substrates. The product encoded by PTEN was found to negatively regulate the PI3K/Akt signaling pathway, thereby inhibiting cell proliferation and promoting apoptosis. The PI3K/PTEN/AKT signaling pathway has also been identified in several studies as being involved in the development of several malignancies, including renal cell carcinoma. Radiotherapy is currently one of the most effective means of treatment for renal cell carcinoma, whereas it is predisposed to significant tolerance during the course of radiotherapy, thereby leading to treatment failure. Therefore, new treatment options may potentiate the efficiency of renal cell carcinoma treatment. With the development of tumor molecular biology, targeted biological therapy for malignant tumors has gradually become a research hotspot. Given the above research background, this study reviews the application of the PI3K/PTEN/AKT signaling pathway in renal cell carcinoma, aiming to provide more references for the treatment of clinical renal cell carcinoma.

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Section: Introductionmentioning

confidence: 99%

Research Progress of PI3K/PTEN/AKT Signaling Pathway Associated with Renal Cell Carcinoma

Fang

Yan

2022

Disease Markers

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“…Most patients with ChRCC have good prognoses with 5-year survival rates of 78%–100%. However, metastases still occur in about 6%–7% of patients and usually affect the liver or lungs [ 3 ]. Furman et al and Panel et al's tumor classification schemes have already been proposed for use in staging ChRCC over the past decades [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Weighted Gene Coexpression Network Analysis to Construct Competitive Endogenous RNA Network in Chromogenic Renal Cell Carcinoma

Chen

Gao

Zhang

et al. 2021

BioMed Research International

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Aim. This study is aimed at constructing the competing endogenous RNA (ceRNA) network in chromophobe renal cell carcinoma (ChRCC). Methods. Clinical and RNA sequence profiles of patients with ChRCC, including messenger RNAs (mRNAs), microRNAs (miRNAs), and long noncoding RNAs (lncRNAs), were obtained from The Cancer Genome Atlas (TCGA) database. “edgeR” and “clusterProfiler” packages were utilized to obtain the expression matrices of differential RNAs (DERNAs) and to conduct gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Weighted gene coexpression network analysis (WGCNA) was performed to screen the highly related RNAs, and miRcode, StarBase, miRTarBase, miRDB, and TargetScan datasets were used to predict the connections between them. Univariate and multivariate Cox proportional hazards regressions were performed in turn to elucidate prognosis-related mRNAs in order to construct the ceRNA regulatory network. Results. A total of 1628 DElncRNAs, 104 DEmiRNAs, and 2619 DEmRNAs were identified. WGCNA showed significant correlation in 1534 DElncRNAs, 98 DEmiRNAs, and 2543 DEmRNAs, which were related to ChRCC. Fourteen DEmiRNAs, 113 DElncRNAs, and 43 DEmRNAs were screened. Nine mRNAs (ALPL, ARHGAP29, CADM2, KIT, KLRD1, MYBL1, PSD3, SFRP1, and SLC7A11) significantly contributed to the overall survival (OS) of patients with ChRCC ( P < 0.05 ). Furthermore, two mRNAs (CADM2 and SFRP1) appeared to be independent risk factors for ChRCC. Conclusion. The findings revealed the molecular mechanism of ChRCC and potential therapeutic targets for the disease.

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“…e nonsurgical treatment is currently targeted at patients with advanced renal cell carcinoma. Most of them are based on medical treatment, supplemented by a variety of targeted drugs or improved immunotherapy with unilateral nephrectomy [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Magnetic Resonance Imaging in the Evaluation of Tumor, Node, and Metastasis Staging of Renal Cancer

Han

Lin

2021

Scientific Programming

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This study was aimed to investigate the diagnostic accuracy of magnetic resonance imaging (MRI) based on deep dictionary learning in TNM (tumor, node, and metastasis) staging of renal cell carcinoma. In this study, 82 patients with renal cancer were selected as the research object. The results were diagnosed by deep dictionary learning MRI, and TNM staging was performed by professional imaging personnel. MRI image will be reconstructed after deep dictionary learning to improve its image recognition ability. The pathological diagnosis will be handed over to the physiological pathology laboratory of the hospital for diagnosis. The staging results were compared with the pathological diagnostic staging results, and the results were analyzed by consistency statistics to evaluate the diagnostic value. The results showed that T staging was significantly consistent with the pathological diagnosis. 2 cases were misdiagnosed, and the accuracy rate was 97.56%. Compared with the pathological diagnosis, N staging had less obvious consistency. 10 cases were misdiagnosed, and the accuracy rate was 87.80%. M staging was significantly consistent with the pathological diagnosis. 4 cases were misdiagnosed. The accuracy rate was 95.12%. After laparotomy, it was found that 37 patients had emboli and 45 patients had no emboli, while 40 patients had emboli and 42 patients had no emboli by MRI. The accuracy rate was 96.34%. The results showed that in the evaluation of TNM staging by MRI imaging based on deep dictionary learning in patients with renal cell carcinoma, the diagnostic results of N staging and M staging were highly consistent with the pathological diagnosis, while the diagnostic results of T staging were slightly less accurate, and the diagnostic consistency was good. The results can provide effective support for the clinical application of MRI imaging based on deep dictionary learning as the clinical diagnosis of TNM staging of renal cell carcinoma.

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Chromophobes Nierenzellkarzinom – Diagnostik und Prognostik

Cited by 4 publications

References 26 publications

Research Progress of PI3K/PTEN/AKT Signaling Pathway Associated with Renal Cell Carcinoma

Research Progress of PI3K/PTEN/AKT Signaling Pathway Associated with Renal Cell Carcinoma

Weighted Gene Coexpression Network Analysis to Construct Competitive Endogenous RNA Network in Chromogenic Renal Cell Carcinoma

Deep Learning-Based Magnetic Resonance Imaging in the Evaluation of Tumor, Node, and Metastasis Staging of Renal Cancer

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