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Differential Expression of IGF-I and Insulin Receptor Isoforms in HPV Positive and Negative Human Cervical Cancer Cell Lines

Authors: Martha Lucía Serrano; Shoshana Yakar; Myriam Sánchez-Gómez; Derek LeRoith; María Mercedes Bravo;

Differential Expression of IGF-I and Insulin Receptor Isoforms in HPV Positive and Negative Human Cervical Cancer Cell Lines

Abstract

Human papillomavirus (HPV) is the main risk factor for cervical cancer; however, some carcinomas occur in the absence of the virus. IGF-IR and an isoform of the insulin receptor, IR-A, play important roles in cancer. In this study we assessed the role of the IGF/insulin receptors in cervical cancer cell lines with different HPV status, SiHa (HPV positive), and C33a (HPV negative). Different patterns of receptor expression were found; while SiHa expressed IGF-IR, IR-A and IR-B, and IR/IGF-IR hybrid receptors, C33a cells expressed the IR-A only. Tyrosine phosphorylation of these receptors in response to their corresponding ligands correlated with the expression level of these receptors in the cell lines. Activation of PI3-K and MAPK pathways was revealed in both cell lines, however, no effects on proliferation, migration, or invasion were observed. Here we show that cervical cancer cell lines--positive and negative for HPV--differ in the type of insulin and IGF-1 receptors expressed. Additional studies are needed for characterization of the role of IR-A in cervical carcinogenesis.

Keywords

MAP Kinase Signaling System, Uterine Cervical Neoplasms, Apoptosis, Receptor, Insulin, Receptor, IGF Type 1, Enzyme Activation, Phosphatidylinositol 3-Kinases, Cell Movement, Insulin-Like Growth Factor II, Cell Line, Tumor, Humans, Protein Isoforms, Female, Insulin-Like Growth Factor I, Mitogen-Activated Protein Kinases, Papillomaviridae, Cell Proliferation

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Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%