scholarly journals Evaluation of p53, p16INK4a and E-Cadherin Status as Biomarkers for Cervical Cancer Diagnosis

Author(s):  
M. El ◽  
M. Attaleb ◽  
R. Ameziane El Hassani ◽  
M. Khyatti ◽  
L. Benbacer ◽  
...  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xian Liu ◽  
Qian Feng ◽  
Yanru Zhang ◽  
PengSheng Zheng ◽  
Nan Cui

Abstract Background Slug (Snai2) is a pivotal player in initiating epithelial-mesenchymal transition (EMT) through its trans-suppression effect on E-cadherin in various normal and malignant cells. In this study, the positive effect of Slug on promoting cell motility and metastasis in cervical cancer was further confirmed in this study. Methods RNA-Seq was performed to explore the potential molecules that participate in Slug-mediated EMT in cervical cancer cells. The negative correlation between Slug and EpCAM expression in cervical cancer cells was detected in this study, and linked them with in vitro migration and invasion assay, in vivo metastasis experiments, luciferase reporter assay and Chromatin immunoprecipitation. Results Transcriptome sequencing analysis revealed that epithelial cell adhesion molecule (EpCAM) was significantly decreased in Slug-overexpressing SiHa cells. Simultaneously, an absence of EpCAM expression was observed in Slug-overexpressing cells. Further studies revealed the trans-suppression effect of Slug on EpCAM through its binding to the E-boxes in the proximal promoter region of EpCAM in cervical cancer cells. Restoring EpCAM in Slug-overexpressing cells by transiently transfecting an EpCAM recombinant plasmid attenuated cell motility and promoted cell growth. Moreover, the negative correlation between Slug and EpCAM expression in human squamous cervical carcinoma (SCC) samples was verified by using Pearson correlation analysis. Conclusions These results demonstrated that the absence of EpCAM under Slug expression in cervical cancer cells probably participated in Slug-regulated EMT and further promoted tumor metastasis. Additionally, this study supports a potential way for Slug to initiate EMT progression in cervical cancer cells in addition to inhibiting E-cadherin.


2016 ◽  
Vol 12 (5) ◽  
pp. 715-726 ◽  
Author(s):  
Jifeng Peng ◽  
Shengnan Qi ◽  
Ping Wang ◽  
Wanyu Li ◽  
Lingxie Song ◽  
...  

2021 ◽  
Vol 1 (69) ◽  
pp. 6
Author(s):  
Gheorghe Cruciat ◽  
Iulia Popa ◽  
Suzana Mariam Chaikh-Sulaiman

2020 ◽  
Vol 17 (12) ◽  
pp. 5438-5446
Author(s):  
C. Suguna ◽  
S. P. Balamurugan

Cervical cancer is a commonly occurring deadliest disease among women, which needs earlier diagnosis to reduce the prevalence. Pap-smear is considered as a widely employed technique to screen and diagnose cervical cancer. Since classical manual screening techniques are inefficient in the identification of cervical cancer, several research works have been started to develop automated machine learning (ML) and deep learning (DL) tools for cervical cancer diagnosis. This paper surveys the recent works made on cervical cancer diagnosis and classification. The recently presently ML and DL models for cervical cancer diagnosis and classification has been reviewed in detail. Besides, segmentation techniques developed for cervical cancer diagnosis also surveyed. At the end of the survey, a brief comparative study has been carried out to identify the significance of the reviewed methods.


2022 ◽  
Vol 12 (4) ◽  
pp. 820-826
Author(s):  
Chengyong Wu ◽  
Weifeng Wei ◽  
Jing Li ◽  
Shenglin Peng

Epithelial-mesenchymal transition (EMT) is closely related to the migrating and invading behaviors of cells. Periostin is one of the essential components in the extracellular matrix and can induce EMT of cells and their sequential metastasis. But its underlying mechanism is unclear. The Hela and BMSC cell lines were assigned into Periostin-mimic group, Periostin-Inhibitor group and Periostin-NC group followed by analysis of cell migration and invasion, expression of E-Cadherin, Vimentin, β-Catenin, Snail, MMP-2, MMP-9, PTEN, and p-PTEN. Cells in Periostin-mimic group exhibited lowest migration, least number of invaded cells, as well as lowest levels of Vimentin, β-Catenin, Snail, MMP-2, MMP-9, p-PTEN, Akt, p-Akt, p-GSK-3β, p-PDK1 and p-cRcf, along with highest levels of E-cadherin and PTEN. Moreover, cells in Periostin-NC group had intermediate levels of these above indicators, while, the Periostin-Inhibitor group exhibited the highest migration rate, the most number of invaded cells, and the highest levels of these proteins (P < 0.05). In conclusion, BMSCs-derived Periostin can influence the EMT of cervical cancer cells possibly through restraining the activity of the PI3K/AKT signal transduction pathway, indicating that Periostin might be a target of chemotherapy in clinics for the treatment of cervical cancer.


2017 ◽  
Vol 38 (3) ◽  
pp. 1561-1568 ◽  
Author(s):  
Xiaoxi Li ◽  
Hong Wang ◽  
Xingxing Du ◽  
Wenna Yu ◽  
Jingwen Jiang ◽  
...  

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