p53, Bcl‐2, PCNA Expression, and Apoptotic Rates during Cervical Tumorigenesis

Astudillo, Horacio; Lopez, Tezcatlipoca; Castillo, Sebastián; Gariglio, Patricio; Benítez, L. Gutiérrez

doi:10.1196/annals.1299.138

Cited by 18 publications

(9 citation statements)

References 4 publications

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“…Our findings supported the results of Heatley who observed that PCNALI increased with grades of dysplasia as well as with increase in tumor grade [15]. Same findings were observed by Austidillo [16] who found that PCNA protein expression significantly increased as the grade of cervical lesion becomes higher from normal epithelium to SCC. Statistical analysis showed a positive correlation between p53 and PCNA expressions in CIN I (r = 0.378, P = 0.016).…”

Section: Discussionsupporting

confidence: 92%

Immunohistochemical Expression of Cell Proliferating Nuclear Antigen (PCNA) and p53 Protein in Cervical Cancer

Goel

Kavita

Mehrotra

et al. 2012

J Obstet Gynecol India

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Section: Discussionsupporting

confidence: 92%

Immunohistochemical Expression of Cell Proliferating Nuclear Antigen (PCNA) and p53 Protein in Cervical Cancer

Goel

Kavita

Mehrotra

et al. 2012

J Obstet Gynecol India

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“…This also increased migration and invasiveness and resulted in metastases. Metastases contributed to the development of different types of cancer [ 54 ]. Later, down regulation of SMAD4, which affected the metastatic potentials in early stages of cervical cancer, was associated with TGFB1 down regulation and incriminated cervical cancer [ 55 ].…”

Section: Resultsmentioning

confidence: 99%

Network Topologies Decoding Cervical Cancer

et al. 2015

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According to the GLOBOCAN statistics, cervical cancer is one of the leading causes of death among women worldwide. It is found to be gradually increasing in the younger population, specifically in the developing countries. We analyzed the protein-protein interaction networks of the uterine cervix cells for the normal and disease states. It was found that the disease network was less random than the normal one, providing an insight into the change in complexity of the underlying network in disease state. The study also portrayed that, the disease state has faster signal processing as the diameter of the underlying network was very close to its corresponding random control. This may be a reason for the normal cells to change into malignant state. Further, the analysis revealed VEGFA and IL-6 proteins as the distinctly high degree nodes in the disease network, which are known to manifest a major contribution in promoting cervical cancer. Our analysis, being time proficient and cost effective, provides a direction for developing novel drugs, therapeutic targets and biomarkers by identifying specific interaction patterns, that have structural importance.

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“…Another gene of importance validated was PCNA (proliferating cell nuclear antigen), which increases the processivity of leading strand synthesis during DNA rep-lication and is involved in the RAD6-dependent DNA repair pathway [41]. Astudillo et al [42] noted a significant increase in protein expression of PCNA with increasing grades of cervical lesions from normal epithelia to invasive squamous cell carcinoma. The E7 oncoprotein of high-risk HPV is known to activate PCNA possibly by abrogation of normal cell cycle control by the E7 oncogene, reverting the p21 (Cip1)-mediated inhibition of PCNA [43], hence the increase in the level of PCNA with progression of the disease.…”

Section: Discussionmentioning

confidence: 99%

Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease

et al. 2013

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Cervical cancer is the second most common cancer among women worldwide, with developing countries accounting for >80% of the disease burden. Although in the West, active screening has been instrumental in reducing the incidence of cervical cancer, disease management is hampered due to lack of biomarkers for disease progression and defined therapeutic targets. Here we carried out gene expression profiling of 29 cervical cancer tissues from Indian women, spanning International Federation of Gynaecology and Obstetrics (FIGO) stages of the disease from early lesion (IA and IIA) to progressive stages (IIB and IIIA–B), and identified distinct gene expression signatures. Overall, metabolic pathways, pathways in cancer and signaling pathways were found to be significantly upregulated, while focal adhesion, cytokine–cytokine receptor interaction and WNT signaling were downregulated. Additionally, we identified candidate biomarkers of disease progression such as SPP1, proliferating cell nuclear antigen (PCNA), STK17A, and DUSP1 among others that were validated by quantitative real-time polymerase chain reaction (qRT-PCR) in the samples used for microarray studies as well in an independent set of 34 additional samples. Integrative analysis of our results with other cervical cancer profiling studies could facilitate the development of multiplex diagnostic markers of cervical cancer progression.

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p53, Bcl‐2, PCNA Expression, and Apoptotic Rates during Cervical Tumorigenesis

Cited by 18 publications

References 4 publications

Immunohistochemical Expression of Cell Proliferating Nuclear Antigen (PCNA) and p53 Protein in Cervical Cancer

Immunohistochemical Expression of Cell Proliferating Nuclear Antigen (PCNA) and p53 Protein in Cervical Cancer

Network Topologies Decoding Cervical Cancer

Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease

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