scholarly journals Identification of Differentially Expressed Genes in Cervical Cancer Patients by Comparative Transcriptome Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Annapurna S. D. ◽  
Deepthi Pasumarthi ◽  
Akbar Pasha ◽  
Ravinder Doneti ◽  
Sheela B. ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Patients ◽  
Microarray Analysis ◽  
Mrna Level ◽  
Principal Component ◽  
Cancer Prognosis ◽  
Youden Index ◽  
Clinical Samples ◽  
Therapeutic Drug ◽  
Key Genes

Cervical cancer is one of the most malignant reproductive diseases seen in women worldwide. The identification of dysregulated genes in clinical samples of cervical cancer may pave the way for development of better prognostic markers and therapeutic targets. To identify the dysregulated genes (DEGs), we have retrospectively collected 10 biopsies, seven from cervical cancer patients and three from normal subjects who underwent a hysterectomy. Total RNA isolated from biopsies was subjected to microarray analysis using the human Clariom D Affymetrix platform. Based on the results of principal component analysis (PCA), only eight samples are qualified for further studies; GO and KEGG were used to identify the key genes and were compared with TCGA and GEO datasets. Identified genes were further validated by quantitative real-time PCR and receiver operating characteristic (ROC) curves, and the highest Youden index was calculated in order to evaluate cutoff points (COPs) that allowed distinguishing of tissue samples of cervical squamous carcinoma patients from those of healthy individuals. By comparative microarray analysis, a total of 108 genes common across the six patients’ samples were chosen; among these, 78 genes were upregulated and 26 genes were downregulated. The key genes identified were SPP1, LYN, ARRB2, COL6A3, FOXM1, CCL21, TTK, and MELK. Based on their relative expression, the genes were ordered as follows: TTK > ARRB2 > SPP1 > FOXM1 > LYN > MELK > CCL21 > COL6A3; this generated data is in sync with the TCGA datasets, except for ARRB2. Protein-protein interaction network analysis revealed that TTK and MELK are closely associated with SMC4, AURKA, PLK4, and KIF18A. The candidate genes SPP1, FOXM1, LYN, COL6A3, CCL21, TTK and MELK at mRNA level, emerge as promising candidate markers for cervical cancer prognosis and also emerge as potential therapeutic drug targets.

scholarly journals CT based automatic clinical target volume delineation using a dense-fully connected convolution network for cervical Cancer radiation therapy

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhongjian Ju ◽  
Wen Guo ◽  
Shanshan Gu ◽  
Jin Zhou ◽  
Wei Yang ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Patients ◽  
Clinical Target Volume ◽  
Target Volume ◽  
Ct Images ◽  
Clinical Samples ◽  
Model Parameters ◽  
Convolutional Network ◽  
Volume Delineation ◽  
Fully Connected

Abstract Background It is very important to accurately delineate the CTV on the patient’s three-dimensional CT image in the radiotherapy process. Limited to the scarcity of clinical samples and the difficulty of automatic delineation, the research of automatic delineation of cervical cancer CTV based on CT images for new patients is slow. This study aimed to assess the value of Dense-Fully Connected Convolution Network (Dense V-Net) in predicting Clinical Target Volume (CTV) pre-delineation in cervical cancer patients for radiotherapy. Methods In this study, we used Dense V-Net, a dense and fully connected convolutional network with suitable feature learning in small samples to automatically pre-delineate the CTV of cervical cancer patients based on computed tomography (CT) images and then we assessed the outcome. The CT data of 133 patients with stage IB and IIA postoperative cervical cancer with a comparable delineation scope was enrolled in this study. One hundred and thirteen patients were randomly designated as the training set to adjust the model parameters. Twenty cases were used as the test set to assess the network performance. The 8 most representative parameters were also used to assess the pre-sketching accuracy from 3 aspects: sketching similarity, sketching offset, and sketching volume difference. Results The results presented that the DSC, DC/mm, HD/cm, MAD/mm, ∆V, SI, IncI and JD of CTV were 0.82 ± 0.03, 4.28 ± 2.35, 1.86 ± 0.48, 2.52 ± 0.40, 0.09 ± 0.05, 0.84 ± 0.04, 0.80 ± 0.05, and 0.30 ± 0.04, respectively, and the results were greater than those with a single network. Conclusions Dense V-Net can correctly predict CTV pre-delineation of cervical cancer patients and can be applied in clinical practice after completing simple modifications.

Estrogen responsive finger protein as a new potential biomarker for breast cancer

2020 ◽  
Author(s):  
Lungwani Muungo
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Breast Carcinoma ◽  
Cancer Patients ◽  
Mrna Level ◽  
Significant Prognostic Factor ◽  
Breast Carcinomas ◽  
Finger Protein ◽  
Potential Biomarker ◽  
Human Breast Carcinomas

Purpose: Estrogen-responsive finger protein (Efp) is amember ofRINGfinger-B box-Coiled Coilfamily and is also a downstream target of estrogen receptor a. Previously, Efp was shown tomediate estrogen-induced cell growth, which suggests possible involvement in the developmentof human breast carcinomas. In this study, we examined expression of Efp in breast carcinomatissues and correlated these findings with various clinicopathologic variables.Experimental Design: Thirty frozen specimens of breast carcinomas were used for immunohistochemistryand laser capture microdissection/real-time PCR of Efp. Immunohistochemistryfor Efp was also done in 151breast carcinoma specimens fixed with formalin and embedded inparaffinwax.Results: Efp immunoreactivity was detected in breast carcinoma cells and was significantlyassociated with the mRNA level (n = 30). Efp immunoreactivity was positively associated withlymph node status or estrogen receptor a status and negatively correlated with histologic gradeor 14-3-3j immunoreactivity (n = 151). Moreover, Efp immunoreactivity was significantly correlatedwith poor prognosis of breast cancer patients, and multivariate analyses of disease-freesurvival and overall survival for151breast cancer patients showed that Efp immunoreactivity wasthe independentmarker.Conclusions: Our data suggest that Efp immunoreactivity is a significant prognostic factor inbreast cancer patients. These findings may account for an oncogenic role of Efp in the tumorprogression of breast carcinoma.

USP48 Sustains Chemoresistance and Metastasis in Ovarian Cancer

2020 ◽  
Vol 20 (9) ◽  
pp. 689-699
Author(s):  
Xuemeng Lei ◽  
Xukun Li ◽  
Hongyan Chen ◽  
Zhihua Liu
Keyword(s):  
Ovarian Cancer ◽  
Cancer Patients ◽  
Migration And Invasion ◽  
Clinical Samples ◽  
Deubiquitinating Enzymes ◽  
Potential Therapeutic Target ◽  
Kaplan Meier ◽  
Specific Protease ◽  
Ubiquitin Specific Protease

Background: Ubiquitin specific protease 48 (USP48) is a member of the deubiquitinating enzymes (DUBs) family. However, the function of USP48 in ovarian cancer remains unclear. Objective: The present study reveals that USP48 knockdown could significantly inhibit cell migration and invasion in ES2, 3AO and A2780 cells, without affecting cell proliferation. Methods: After carboplatin (CBP) treatment, the USP48 ablation increases the apoptosis rate, and the cleaved PARP and cleaved caspase 3 expression levels in ES2, 3AO and A2780 cells. The subcutaneous tumor and intraperitoneally injected experiments demonstrated that the USP48 knockdown significantly increases responsiveness to CBP, and alleviates the metastasis in vivo. Meanwhile, USP48 deficiency results in the improved survival of mice. Results: Finally, the analysis of clinical samples and the TCGA and Kaplan-Meier Plot database revealed that the high expression of USP48 in ovarian cancer patients is associated with poor survival and resistance to CBP therapy. Conclusion: In summary, USP48 may be a potential therapeutic target for ovarian cancer patients.

scholarly journals Gut microbiome diversity is an independent predictor of survival in cervical cancer patients receiving chemoradiation

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Travis T. Sims ◽  
Molly B. El Alam ◽  
Tatiana V. Karpinets ◽  
Stephanie Dorta-Estremera ◽  
Venkatesh L. Hegde ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Radiation Therapy ◽  
Gut Microbiota ◽  
Cancer Patients ◽  
Gut Microbiome ◽  
Compositional Variation ◽  
Short Term ◽  
Microbiome Diversity ◽  
Term Survivor

AbstractDiversity of the gut microbiome is associated with higher response rates for cancer patients receiving immunotherapy but has not been investigated in patients receiving radiation therapy. Additionally, current studies investigating the gut microbiome and outcomes in cancer patients may not have adjusted for established risk factors. Here, we sought to determine if diversity and composition of the gut microbiome was independently associated with survival in cervical cancer patients receiving chemoradiation. Our study demonstrates that the diversity of gut microbiota is associated with a favorable response to chemoradiation. Additionally, compositional variation among patients correlated with short term and long-term survival. Short term survivor fecal samples were significantly enriched in Porphyromonas, Porphyromonadaceae, and Dialister, whereas long term survivor samples were significantly enriched in Escherichia Shigella, Enterobacteriaceae, and Enterobacteriales. Moreover, analysis of immune cells from cervical tumor brush samples by flow cytometry revealed that patients with a high microbiome diversity had increased tumor infiltration of CD4+ lymphocytes as well as activated subsets of CD4 cells expressing ki67+ and CD69+ over the course of radiation therapy. Modulation of the gut microbiota before chemoradiation might provide an alternative way to enhance treatment efficacy and improve treatment outcomes in cervical cancer patients.

Fas gene promoter –670 polymorphism in gynecological cancer

2006 ◽  
Vol 16 (Suppl 1) ◽  
pp. 179-182 ◽  
Author(s):  
M. Ueda ◽  
Y. Terai ◽  
K. Kanda ◽  
M. Kanemura ◽  
M. Takehara ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cervical Cancer ◽  
Cancer Patients ◽  
Germ Line ◽  
Gynecological Cancer ◽  
Gene Promoter ◽  
Single Nucleotide ◽  
Increased Risk ◽  
Significant Difference ◽  
Germ Line Polymorphism

Single-nucleotide polymorphism at −670 of Fas gene promoter (A/G) was examined in a total of 354 blood samples from normal healthy women and gynecological cancer patients. They consisted of 95 normal, 83 cervical, 108 endometrial, and 68 ovarian cancer cases. Eighty-three patients with cervical cancer had statistically higher frequency of GG genotype and G allele than 95 controls (P= 0.0353 and 0.0278, respectively). There was no significant difference in the genotype or allele prevalence between control subjects and endometrial or ovarian cancer patients. The Fas −670 GG genotype was associated with an increased risk for the development of cervical cancer (OR = 2.56, 95% CI = 1.08–6.10) compared with the AA genotype. The G allele also increased the risk of cervical cancer (OR = 1.60, 95% CI = 1.05–2.43) compared with the A allele. Germ-line polymorphism of Fas gene promoter −670 may be associated with the risk of cervical cancer in a Japanese population.

scholarly journals Toward PET/MRI as one-stop shop for radiotherapy planning in cervical cancer patients

2021 ◽  
pp. 1-9
Author(s):  
Sahar Ahangari ◽  
Naja Liv Hansen ◽  
Anders Beck Olin ◽  
Trine Jakobi Nøttrup ◽  
Heidi Ryssel ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Patients ◽  
Radiotherapy Planning ◽  
One Stop
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