scholarly journals Integrated transcriptomics explored the cancer-promoting genes CDKN3 in esophageal squamous cell cancer

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Wanpeng Wang ◽  
Kai Liao ◽  
Hao Chun Guo ◽  
Suqin Zhou ◽  
Ran Yu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Squamous Cell ◽  
Kinase Inhibitor ◽  
Expression Patterns ◽  
Cell Cancer ◽  
Expression Level ◽  
Clinical Staging ◽  
Tissue Samples ◽  
Seed Gene ◽  
Significant Difference

Abstract Background and objectives Each individual studies is limited to multi-factors and potentially lead to a significant difference of results among them. The present study aim to explore the critical genes related to the development of Esophageal squamous cell carcinoma (ESCC) by integrated transcriptomics and to investigate the clinical significance by experimental validation. Methods Datasets of protein-coding genes expression which involved in ESCC were downloaded from Gene Expression Omnibus (GEO) database. The “Robustrankaggreg” package in language was used for data integration, and the different expression genes (DEGs) were identified based the cut-off criteria as follows: adjust p-value < 0.05, |fold change (FC)| ≥ 1.5; The protein expression of seed gene in 184 cases of primary ESCC tissues and 50 tumor adjacent normal tissues (at least 5 cm away from the tumor, and defind as the controls) were detected by immunohistochemistry; The relationship between the expression level of seed genes and clinical parameter were analyze. Enumeration data were represented by frequency or percentage (%) and were tested by x2 test. The P value of less than 0.05 was considered statistically significant. Results A total of 244 DEGs were identified by comparing gene expression patterns between ESCC patients and the controls based on integrating dataset of GSE77861, GSE77861, GSE100942, GSE26886, GSE17351, GSE38129, GSE33426, GSE20347 and GSE23400; The Cyclin-dependent kinase inhibitor 3 (CDKN3) were identified the top 1 seed gene of top cluster by use of protein-protein Interaction network and plug-in Molecular Complex Detection; The level of CDKN3 mRNA was significantly increased in ESCC patients compared to controls; The positive expression rate of CDKN3 protein in ESCC tissue samples was 32 and 61.4% in control, respectively. The correlations between the expression level of CDKN3 and lymph node metastasis or clinical staging of ESCC patients are statistically significant. Conclusion Integrated transcriptomics is an efficient approach to system biology. By this procedure, our study improved the understanding of the transcriptome status of ESCC.

scholarly journals Integrated Transcriptomics Explored the Cancer-Promoting Genes CDKN3 in Esophageal Squamous Cell Cancer

2020 ◽  
Author(s):  
Wanpeng Wang ◽  
Kai Liao ◽  
HaoChun Guo ◽  
Suqin Zhou ◽  
Ran Yu ◽  
...  
Keyword(s):  
Clinical Significance ◽  
Expression Patterns ◽  
Cell Cancer ◽  
Expression Level ◽  
Clinical Staging ◽  
P Value ◽  
Tissue Samples ◽  
Protein Coding ◽  
Seed Gene ◽  
Expression Rate

Abstract Background and objectives: The aims of the present study were to explore the critical genes that related to development of ESCC by integrated transcriptomics and investigate the clinical significance by experimental validation. Methods: The datasets of protein-coding genes expression which involved in ESCC were downloaded from GEO database. The "Robustrankaggreg" package was used for data integration, and the different expression genes (DEGs) were identified based the cut-off criteria as follows: adjust p-value < 0.05, |Log2 fold change (FC)| ≥ 1.5; The protein expression of seed gene in 184 cases of primary ESCC were detected by immunohistochemistry; The relationship between the expression level of seed genes and clinical significance were analyze. Results: A total of 244 DEGs were identified by comparing gene expression patterns between ESCC patients and the controls based on integrating dataset of GSE77861, GSE77861, GSE100942, GSE26886, GSE17351, GSE38129, GSE33426, GSE20347 and GSE23400; The CDKN3 were identified the seed gene of top cluster by use of PPI network and plug-in MCODE; The level of CDKN3 mRNA was significantly increased in ESCC patients compared to controls; The positive expression rate of CDKN3 protein in ESCC tissue samples was 32.0% and 61.4% in control, respectively, differences were statistically significant; There was significant correlation between the expression level of CDKN3 and lymph node metastasis or clinical staging of ESCC patients. Conclusion: Integrated transcriptomics is an efficient approach to system biology. By this procedure, our study improved the understanding of the transcriptome status of ESCC.

scholarly journals Histologically resolved spatial multi-omics of human oral squamous cell carcinoma

2017 ◽  
Author(s):  
Tao Chen ◽  
Chen Cao ◽  
Jianyun Zhang ◽  
Aaron Streets ◽  
Yanyi Huang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Spatial Resolution ◽  
Squamous Cell ◽  
Single Cells ◽  
Expression Patterns ◽  
Critical Role ◽  
Molecular Profile ◽  
Tissue Samples

AbstractBoth the composition of cell types and their spatial distribution in a tissue play a critical role in cellular function, organ development, and disease progression. For example, intratumor heterogeneity and the distribution of transcriptional and genetic events in single cells drive the genesis and development of cancer. However, it can be challenging to fully characterize the molecular profile of cells in a tissue with high spatial resolution because microscopy has limited ability to extract comprehensive genomic information, and the spatial resolution of genomic techniques tends to be limited by dissection. There is a growing need for tools that can be used to explore the relationship between histological features, gene expression patterns, and spatially correlated genomic alterations in healthy and diseased tissue samples. Here, we present a technique that combines label-free histology with spatially resolved multi-omics in un-fixed and unstained tissue sections. This approach leverages stimulated Raman scattering microscopy to provide chemical contrast that reveals histological tissue architecture, allowing for high-resolution in situ laser micro-dissection of regions of interests. These micro-tissue samples are then processed for DNA and RNA sequencing to identify unique genetic profiles that correspond to distinct anatomical regions. We demonstrate the capabilities of this technique by mapping gene expression and copy number alterations to histologically defined regions in human squamous cell carcinoma (OSCC). Our approach provides complementary insights in tumorigenesis and offers an integrative tool for macroscale cancer tissues with spatial multi-omics assessments.

scholarly journals Gene expression of one important microRNA in blood and tissue samples of oral squamous cell carcinoma

2021 ◽  
Author(s):  
Naghmeh Emami ◽  
Naghmeh Bahrami ◽  
Masoumeh Mirzaei ◽  
Abdolreza Mohamadnia
Keyword(s):  
Gene Expression ◽  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Peripheral Blood ◽  
Expression Level ◽  
P Value ◽  
Healthy Individuals ◽  
Tissue Samples

Introduction: Oral Squamous Cell Carcinoma (OSCC) is one of the most common oral malignancies, which accounts for 80-90% of malignant neoplasms of the oral cavity. MicroRNAs (miRNAs) are small RNA molecules that regulate post-transcriptional gene expression by targeting mRNAs. Materials and Methods: In this case-control study, 40 patients with oral squamous cell carcinoma and 40 healthy individuals as control were studied. Blood samples were collected from both groups. Also, 30 cancer tissue samples and 30 healthy tissue samples were prepared and evaluated. RNA was extracted from collected peripheral blood and tissue samples and evaluated for the expression level of miR-494 via real-time PCR technique. P. value values<0.05 were considered statistically significant. Results: The expression level of miR-494 in serum (peripheral blood) of patients with oral squa- mous cell carcinoma increased by 1.12 fold (P-value<0.001) compared with healthy individuals. Also, the expression level of miR-494 in samples of oral squamous cell carcinoma infected tissue showed a 1.28-fold increase compared to healthy tissue. Conclusion: The results of this study indicate an increase in the expression level (up-regula- tion) of miR-494 in oral squamous cell carcinoma. This biomarker can be used in screening and early detection of oral squamous cell carcinoma.

scholarly journals Bioinformatics analysis of DNMT1 expression and its role in head and neck squamous cell carcinoma prognosis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jili Cui ◽  
Lian Zheng ◽  
Yuanyuan Zhang ◽  
Miaomiao Xue
Keyword(s):  
Gene Expression ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Immune Cell ◽  
Neck Squamous Cell Carcinoma ◽  
Hub Genes ◽  
Significant Difference ◽  
Dnmt1 Expression

AbstractHead and neck squamous cell carcinoma (HNSCC) is the sixth most common type of malignancy in the world. DNA cytosine-5-methyltransferase 1 (DNMT1) play key roles in carcinogenesis and regulation of the immune micro-environment, but the gene expression and the role of DNMT1 in HNSCC is unknown. In this study, we utilized online tools and databases for pan-cancer and HNSCC analysis of DNMT1 expression and its association with clinical cancer characteristics. We also identified genes that positively and negatively correlated with DNMT1 expression and identified eight hub genes based on protein–protein interaction (PPI) network analysis. Enrichment analyses were performed to explore the biological functions related with of DNMT1. The Tumor Immune Estimation Resource (TIMER) database was performed to explore the relationship between DNMT1 expression and immune-cell infiltration. We demonstrated that DNMT1 gene expression was upregulated in HNSCC and associated with poor prognosis. Based on analysis of the eight hub genes, we determined that DNMT1 may be involved in cell cycle, proliferation and metabolic related pathways. We also found that significant difference of B cells infiltration based on TP 53 mutation. These findings suggest that DNMT1 related epigenetic alterations have close relationship with HNSCC progression, and DNMT1 could be a novel diagnostic biomarker and a promising therapeutic target for HNSCC.

scholarly journals Verticillium wilt resistant and susceptible olive cultivars express a very different basal set of genes in roots

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Jorge A. Ramírez-Tejero ◽  
Jaime Jiménez-Ruiz ◽  
Alicia Serrano ◽  
Angjelina Belaj ◽  
Lorenzo León ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Pattern ◽  
Growth And Development ◽  
Expression Patterns ◽  
Gene Expression Pattern ◽  
Expression Level ◽  
Resistant Cultivars ◽  
Pathogen Invasion ◽  
Wide Range ◽  
Olive Cultivars

Abstract Background Olive orchards are threatened by a wide range of pathogens. Of these, Verticillium dahliae has been in the spotlight for its high incidence, the difficulty to control it and the few cultivars that has increased tolerance to the pathogen. Disease resistance not only depends on detection of pathogen invasion and induction of responses by the plant, but also on barriers to avoid the invasion and active resistance mechanisms constitutively expressed in the absence of the pathogen. In a previous work we found that two healthy non-infected plants from cultivars that differ in V. dahliae resistance such as ‘Frantoio’ (resistant) and ‘Picual’ (susceptible) had a different root morphology and gene expression pattern. In this work, we have addressed the issue of basal differences in the roots between Resistant and Susceptible cultivars. Results The gene expression pattern of roots from 29 olive cultivars with different degree of resistance/susceptibility to V. dahliae was analyzed by RNA-Seq. However, only the Highly Resistant and Extremely Susceptible cultivars showed significant differences in gene expression among various groups of cultivars. A set of 421 genes showing an inverse differential expression level between the Highly Resistant to Extremely Susceptible cultivars was found and analyzed. The main differences involved higher expression of a series of transcription factors and genes involved in processes of molecules importation to nucleus, plant defense genes and lower expression of root growth and development genes in Highly Resistant cultivars, while a reverse pattern in Moderately Susceptible and more pronounced in Extremely Susceptible cultivars were observed. Conclusion According to the different gene expression patterns, it seems that the roots of the Extremely Susceptible cultivars focus more on growth and development, while some other functions, such as defense against pathogens, have a higher expression level in roots of Highly Resistant cultivars. Therefore, it seems that there are constitutive differences in the roots between Resistant and Susceptible cultivars, and that susceptible roots seem to provide a more suitable environment for the pathogen than the resistant ones.

Phase III Trial Comparing Radical Radiotherapy With and Without Cisplatin Chemotherapy in Patients With Advanced Squamous Cell Cancer of the Cervix

2002 ◽  
Vol 20 (4) ◽  
pp. 966-972 ◽  
Author(s):  
R. Pearcey ◽  
M. Brundage ◽  
P. Drouin ◽  
J. Jeffrey ◽  
D. Johnston ◽  
...  
Keyword(s):  
Squamous Cell ◽  
Squamous Cell Cancer ◽  
Cell Cancer ◽  
Survival Rates ◽  
Progression Free Survival ◽  
Lymph Node Involvement ◽  
Phase Iii ◽  
Gynecology And Obstetrics ◽  
Significant Difference ◽  
Cancer Of The Cervix

PURPOSE: To test the hypothesis that cisplatin (CDDP) administered concurrently with standard radiotherapy (RT) would improve pelvic control and survival in patients with advanced squamous cell cancer of the cervix. PATIENTS AND METHODS: A total of 259 patients with International Federation of Gynecology and Obstetrics stage IB to IVA squamous cell cervical cancer with central disease ≥ 5 cm or histologically confirmed pelvic lymph node involvement were randomized to receive RT (external-beam RT plus brachytherapy) plus weekly CDDP chemotherapy (40 mg/m2) (arm 1) or the same RT without chemotherapy (arm 2). RESULTS: A total of 253 patients were available for analysis. Median follow-up was 82 months. No significant difference was found in progression-free survival (P = .33). No significant difference in 3- and 5-year survival rates was found (69% v 66% and 62% v 58%, respectively; P = .42). The hazard ratio for survival (arm 2 to arm 1) was 1.10 (95% confidence interval, 0.75 to 1.62). CONCLUSION: This study did not show a benefit to either pelvic control or survival by adding concurrent weekly CDDP chemotherapy in a dose of 40 mg/m2 to radical RT as given in this trial. Careful attention to RT details is important for achieving optimum outcome for patients with this disease.

scholarly journals Bayesian Framework for Detecting Gene Expression Outliers in Individual Samples

2020 ◽  
pp. 160-170
Author(s):  
John Vivian ◽  
Jordan M. Eizenga ◽  
Holly C. Beale ◽  
Olena M. Vaske ◽  
Benedict Paten
Keyword(s):  
Gene Expression ◽  
Expression Patterns ◽  
Rna Seq ◽  
Single Patient ◽  
Tissue Samples ◽  
Composite Tissue ◽  
Patient Sample ◽  
Statistical Framework ◽  
Therapeutic Leads ◽  
Upregulated Genes

PURPOSE Many antineoplastics are designed to target upregulated genes, but quantifying upregulation in a single patient sample requires an appropriate set of samples for comparison. In cancer, the most natural comparison set is unaffected samples from the matching tissue, but there are often too few available unaffected samples to overcome high intersample variance. Moreover, some cancer samples have misidentified tissues of origin or even composite-tissue phenotypes. Even if an appropriate comparison set can be identified, most differential expression tools are not designed to accommodate comparisons to a single patient sample. METHODS We propose a Bayesian statistical framework for gene expression outlier detection in single samples. Our method uses all available data to produce a consensus background distribution for each gene of interest without requiring the researcher to manually select a comparison set. The consensus distribution can then be used to quantify over- and underexpression. RESULTS We demonstrate this method on both simulated and real gene expression data. We show that it can robustly quantify overexpression, even when the set of comparison samples lacks ideally matched tissue samples. Furthermore, our results show that the method can identify appropriate comparison sets from samples of mixed lineage and rediscover numerous known gene-cancer expression patterns. CONCLUSION This exploratory method is suitable for identifying expression outliers from comparative RNA sequencing (RNA-seq) analysis for individual samples, and Treehouse, a pediatric precision medicine group that leverages RNA-seq to identify potential therapeutic leads for patients, plans to explore this method for processing its pediatric cohort.

scholarly journals 1450-1545 Young Investigator Awards & Presentations Basic/Translational Exploring cellular subpopulations in glioblastoma and matched organoids using single-cell RNA-seq 52

2018 ◽  
Vol 45 (S3) ◽  
pp. S13-S14
Author(s):  
VG LeBlanc ◽  
D Trinh ◽  
M Hughes ◽  
I Luthra ◽  
D Livingstone ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Tissue Sample ◽  
Expression Patterns ◽  
Model Systems ◽  
Sequencing Data ◽  
Tissue Samples ◽  
Original Tumour ◽  
Current Therapies ◽  
Intratumoural Heterogeneity

Glioblastomas (GBMs) account for nearly half of all primary malignant brain tumours, and current therapies are often only marginally effective. Our understanding of the underlying biology of these tumours and the development of new therapies have been complicated in part by widespread inter- and intratumoural heterogeneity. To characterize this heterogeneity, we performed regional subsampling of primary glioblastomas and derived organoids from these tissue samples. We then performed single-cell RNA-sequencing (scRNA-seq) on these primary regional subsamples and 1-3 matched organoids per sample. We have profiled samples from six tumour sets to date and have obtained sequencing data for 21,234 primary tissue cells and 14,742 organoid cells. While the most apparent differences in gene expression appear to be between individual tumours, we were also able to identify similar cellular subpopulations across tissue samples and across organoids. Importantly, organoids derived from the same tissue sample appeared to be composed of similar cellular subpopulations and were highly comparable to each other, indicating that replicate organoids faithfully represent the original tumour tissue. Overall, our scRNA-seq approach will help evaluate the utility of tumour-derived organoids as model systems for GBM and will aid in identifying cellular subpopulations defined by gene expression patterns, both in primary GBM regional subsamples and their associated organoids. These analyses will allow for the characterization of clonal or subclonal populations that are likely to respond to different therapeutic approaches and may also uncover novel therapeutic targets previously unrevealed through bulk analyses.

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