&lt;p&gt;Expression And Biological Interaction Network Of RHOC For Hepatic Carcinoma With Metastasis In PBMC Samples&lt;/p&gt;

Shen, Yanting; Bu, Lu; Li, Rui; Chen, Zhenzhu; Tian, Fei; Ge, Qinyu

doi:10.2147/ott.s222235

Cited by 4 publications

(4 citation statements)

References 46 publications

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“…Using simple elements for the platform will improve the standard of the solution and yield more reliable results. In addition, RNA-seq was used for the initial screening of dysregulated mRNAs 14 . Then, we performed PCA (principal component analysis) based on the similarities of gene expression and reduced the heterogeneity between tumors by minimizing the size of the effector.…”

Section: Introductionmentioning

confidence: 99%

RNA-seq profiling reveals PBMC RNA as a potential biomarker for hepatocellular carcinoma

Han

Feng

et al. 2021

Sci Rep

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Hepatocellular carcinoma (HCC) is one of the most common malignant tumors and has extremely high morbidity and mortality. Although many existing studies have focused on the identification of biomarkers, little information has been uncovered regarding the PBMC RNA profile of HCC. We attempted to create a profile throughout using expression of peripheral blood mononuclear cell (PBMC) RNA using RNA-seq technology and compared the transcriptome between HCC patients and healthy controls. Seventeen patients and 17 matched healthy controls were included in this study, and PBMC RNA was sequenced from all samples. Sequencing data were analyzed using bioinformatics tools, and quantitative reverse transcription PCR (qRT-PCR) was used for selected validation of DEGs. A total of 1,578 dysregulated genes were found in the PBMC samples, including 1,334 upregulated genes and 244 downregulated genes. GO enrichment and KEGG studies revealed that HCC is closely linked to differentially expressed genes (DEGs) implicated in the immune response. Expression of 6 selected genes (SELENBP1, SLC4A1, SLC26A8, HSPA8P4, CALM1, and RPL7p24) was confirmed by qRT-PCR, and higher sensitivity and specificity were obtained by ROC analysis of the 6 genes. CALM1 was found to gradually decrease as tumors enlarged. Nearly the opposite expression modes were obtained when compared to tumor sequencing data. Immune cell populations exhibited significant differences between HCC and controls. These findings suggest a potential biomarker for the diagnosis of HCC. This study provides new perspectives for liver cancer development and possible future successful clinical diagnosis.

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Section: Introductionmentioning

confidence: 99%

RNA-seq profiling reveals PBMC RNA as a potential biomarker for hepatocellular carcinoma

Han

Feng

et al. 2021

Sci Rep

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“…Numerous studies have shown that RHOC has unique potential value in malignant tumour cells (17). RHOC has been found to be highly expressed in lung cancer, breast cancer, liver cancer and many other tumour tissues and seriously affects the prognosis of patients (18)(19)(20). However, few studies have explored the relationship between RHOC and glioma.…”

Section: Discussionmentioning

confidence: 99%

Role of RHOC in evaluating an adverse prognosis in patients with glioma and its potential prognostic value

et al. 2021

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In recent years, major discoveries have indicated that Ras homology family member C (RHOC) is involved in the occurrence and pathological progression of a number of malignant tumours; nevertheless, the role served by RHOC in glioma remains unclear. The present study aimed to gain further insight into the biological function and expression of RHOC in human glioma based on the Chinese Glioma Genome Atlas (CGGA). The current study analysed ~1,000 glioma samples from the CGGA. First, RHOC expression was analysed according to the clinical features associated with the prognosis of glioma, such as clinical stage, histological type and age. Second, the Kaplan-Meier method was used, revealing that the survival rate of patients with glioma with high RHOC expression was significantly lower than that of patients with low RHOC expression. Receiver operating characteristic curve analysis indicated that RHOC had moderate diagnostic value for patients with glioma. Gene set enrichment analysis indirectly indicated that RHOC mainly participated in the pathological mechanism of glioma through p53, extracellular matrix receptor interaction and focal adhesion. Finally, the aforementioned results were further verified using The Cancer Genome Atlas data and reverse transcription-quantitative PCR technology. To the best of our knowledge, the present study was the first comprehensive in-depth analysis of RHOC, revealing the potential value of RHOC as a novel oncogene in glioma. The current study provided a novel potential biomarker for the diagnosis and prognosis of glioma, and re-examined the pathological mechanism of glioma from a new perspective.

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“…Besides, using RNA-seq for initial genetic screen of dys-regulated mRNAs 10 . Then, researchers classi ed PCA based on the similarities of gene expression, and reduced the heterogeneity between tumors by minimizing the size of the effector.…”

Section: Introductionmentioning

confidence: 99%

RNA-Seq Profiling Revealed PBMC RNA as Potential Biomarker for Hepatocellular Carcinoma

Han

Feng

et al. 2021

Preprint

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Background: Hepatocellular carcinoma with extremely high morbidity and mortality is one of the most common malignant tumors. Although many existing studies focus on the study of its biomarkers, little information has been released on the PBMC RNA profile of hepatocellular carcinoma. Methods: We tried to make a profile throughout this analysis with the expression of Peripheral Blood Mononuclear Cells (PBMCs) RNA by using RNA-seq technology and compared the transcriptome between hepatocellular carcinoma patients and the healthy controls. 17 patients and 17 healthy controls involved in this study, PBMCs RNA were sequenced. The sequencing data were analyzed with bioinformatics tools and qRT-PCR was used for selected differential expressed gene validation. Results: It is showed that 1578 dysregulated genes found including 1334 upregulated genes and 244 downregulated genes. GO enrichment and KEGG studies showed that hepatocellular carcinoma is a closely linked source of the most differentially expressed genes (DEGs), implicated in the immune response. Expression of the 6 selected genes (SELENBP1, SLC4A1, SLC26A8, HSPA8P4, CALM1, and RPL7p24) were confirmed by qRT-PCR, and higher sensitivity and specificity obtained by ROC analysis of the 6 genes. CALM1 was found gradually decreasing along with the tumor enlarged. Conclusions: It is suggested potential biomarker for diagnosis of hepatocellular carcinomas. This study provided new perspectives for liver cancer development and possible future successful clinical diagnosis.

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<p>Expression And Biological Interaction Network Of RHOC For Hepatic Carcinoma With Metastasis In PBMC Samples</p>

Cited by 4 publications

References 46 publications

RNA-seq profiling reveals PBMC RNA as a potential biomarker for hepatocellular carcinoma

RNA-seq profiling reveals PBMC RNA as a potential biomarker for hepatocellular carcinoma

Role of RHOC in evaluating an adverse prognosis in patients with glioma and its potential prognostic value

RNA-Seq Profiling Revealed PBMC RNA as Potential Biomarker for Hepatocellular Carcinoma

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