Abstract:The available therapeutic approaches for cervical cancer can seriously affect the fertility potential of patient; thus, there is a pressing requirement for less toxic and targeted therapies. The membrane proteome is a potential source of therapeutic targets; however, despite the significance of membrane proteins in cancer, proteomic analysis has been a challenging task due to their unique biochemical properties. The aim of the present study was to develop an efficient membrane protein enrichment protocol, and … Show more
“…A need for deeper understanding of the underlying mechanisms of cervical cancer pathology is critical. Towards this goal, our group has already investigated the secretome (9) and the membrane proteomes (10) of three cervical cancer cell lines in comparison to normal cervical keratinocytes with liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). These studies highlighted the inhibition of matrix metalloproteases (9) and the deregulation of HIPPO, PI3K/Akt, and EIF2 signaling pathways (10) in cervical cancer as well as many differentially expressed proteins that are potentially crucial for cervical malignancy.…”
Section: Introductionmentioning
confidence: 99%
“…Towards this goal, our group has already investigated the secretome (9) and the membrane proteomes (10) of three cervical cancer cell lines in comparison to normal cervical keratinocytes with liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). These studies highlighted the inhibition of matrix metalloproteases (9) and the deregulation of HIPPO, PI3K/Akt, and EIF2 signaling pathways (10) in cervical cancer as well as many differentially expressed proteins that are potentially crucial for cervical malignancy. Along the same lines and in an attempt to elucidate the molecular mechanisms underlining cervical carcinogenesis, we analyzed the intracellular proteome of three cervical cancer cell lines against normal cervical keratinocytes employing high resolution LC-MS/MS.…”
Cervical cancer remains the fourth most common and most lethal type of cancer in women, despite the applied regular screening and prevention strategies, while the available treatment schemes still pose a threat to fertility. Substantial understanding of the underlying mechanisms and development of novel diagnostic, prognostic and therapeutic approaches are critical steps for improving cervical cancer management. Towards this goal, a comparative proteomic analysis was conducted between three cervical cancer cell lines (HeLa: HPV18 + , SiHa: HPV16 + , C33A: HPV-) and normal cervical keratinocytes (HCK1T). The total cell extract of each cell line was analyzed by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). Differential expression analysis revealed 919, 826 and 1,370 deregulated proteins in the comparisons of HeLa, SiHa and C33A with HCK1T cell lines, respectively. Pathway enrichment analysis of the differentially expressed proteins highlighted common cancer characteristics such as high metabolic demands and increased cell turnover, confirming the validity of the proteomic results. Extensive literature mining of the consistently differentially expressed proteins that resulted from the three comparisons was performed leading to a shortlist of 21 proteins that are potentially involved in cervical malignancy. The criteria for this shortlisting were the association of the proteins with various types of cancer, while there is no study as yet associating their expression to cervical cancer. Moreover, the expression trend of two of the shortlisted proteins was validated using western blot analysis. The proteomic datasets generated in this study can be utilized to enrich the current knowledge on cervical cancer pathology and unveil key molecular mechanisms of carcinogenesis. In conclusion, the shortlist of consistently deregulated proteins between cervical cancer cell lines and normal cervical keratinocytes can be used for validation in clinical samples and in functional investigation experiments that could ultimately lead to the discovery of novel disease biomarkers and drug targets.
“…A need for deeper understanding of the underlying mechanisms of cervical cancer pathology is critical. Towards this goal, our group has already investigated the secretome (9) and the membrane proteomes (10) of three cervical cancer cell lines in comparison to normal cervical keratinocytes with liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). These studies highlighted the inhibition of matrix metalloproteases (9) and the deregulation of HIPPO, PI3K/Akt, and EIF2 signaling pathways (10) in cervical cancer as well as many differentially expressed proteins that are potentially crucial for cervical malignancy.…”
Section: Introductionmentioning
confidence: 99%
“…Towards this goal, our group has already investigated the secretome (9) and the membrane proteomes (10) of three cervical cancer cell lines in comparison to normal cervical keratinocytes with liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). These studies highlighted the inhibition of matrix metalloproteases (9) and the deregulation of HIPPO, PI3K/Akt, and EIF2 signaling pathways (10) in cervical cancer as well as many differentially expressed proteins that are potentially crucial for cervical malignancy. Along the same lines and in an attempt to elucidate the molecular mechanisms underlining cervical carcinogenesis, we analyzed the intracellular proteome of three cervical cancer cell lines against normal cervical keratinocytes employing high resolution LC-MS/MS.…”
Cervical cancer remains the fourth most common and most lethal type of cancer in women, despite the applied regular screening and prevention strategies, while the available treatment schemes still pose a threat to fertility. Substantial understanding of the underlying mechanisms and development of novel diagnostic, prognostic and therapeutic approaches are critical steps for improving cervical cancer management. Towards this goal, a comparative proteomic analysis was conducted between three cervical cancer cell lines (HeLa: HPV18 + , SiHa: HPV16 + , C33A: HPV-) and normal cervical keratinocytes (HCK1T). The total cell extract of each cell line was analyzed by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). Differential expression analysis revealed 919, 826 and 1,370 deregulated proteins in the comparisons of HeLa, SiHa and C33A with HCK1T cell lines, respectively. Pathway enrichment analysis of the differentially expressed proteins highlighted common cancer characteristics such as high metabolic demands and increased cell turnover, confirming the validity of the proteomic results. Extensive literature mining of the consistently differentially expressed proteins that resulted from the three comparisons was performed leading to a shortlist of 21 proteins that are potentially involved in cervical malignancy. The criteria for this shortlisting were the association of the proteins with various types of cancer, while there is no study as yet associating their expression to cervical cancer. Moreover, the expression trend of two of the shortlisted proteins was validated using western blot analysis. The proteomic datasets generated in this study can be utilized to enrich the current knowledge on cervical cancer pathology and unveil key molecular mechanisms of carcinogenesis. In conclusion, the shortlist of consistently deregulated proteins between cervical cancer cell lines and normal cervical keratinocytes can be used for validation in clinical samples and in functional investigation experiments that could ultimately lead to the discovery of novel disease biomarkers and drug targets.
“…The Mann-Whitney statistical analysis used to compare the results with the non-cancer cell line HCK1T allowed them to identify 263 unique transmembrane proteins in C33, 262 unique transmembrane proteins in HeLa, and 152 unique transmembrane proteins in SiHa. Among the identified transmembrane proteins, TMX2, FAM120A, CLPTM1, CKAP5, and NCSTN were the most prominent proteins differentially expressed in CC cell lines [105].…”
Section: Proteomics and Cervical Cancermentioning
confidence: 97%
“…Another strategy for studying CC based on proteomics is the study of cell membranes as possible therapeutic targets. In 2018, Pappa et al [105] published a work on the isolation and enrichment of membrane proteins of three different cell lines, HeLa, SiHa, and C33A CC. They performed a proteomic characterization of these cell lines by LC-MS/MS and a bioinformatics analysis using Proteome Discoverer 1.4, SEQUEST, and UniProt.…”
Cancer is one of the leading public health issues worldwide, and the number of cancer patients increases every day. Particularly, cervical cancer (CC) is still the second leading cause of cancer death in women from developing countries. Thus, it is essential to deepen our knowledge about the molecular pathogenesis of CC and propose new therapeutic targets and new methods to diagnose this disease in its early stages. Differential expression analysis using high-throughput techniques applied to biological samples allows determining the physiological state of normal cells and the changes produced by cancer development. The cluster of differential molecular profiles in the genome, the transcriptome, or the proteome is analyzed in the disease, and it is called the molecular signature of cancer. Proteomic analysis of biological samples of patients with different grades of cervical intraepithelial neoplasia (CIN) and CC has served to elucidate the pathways involved in the development and progression of cancer and identify cervical proteins associated with CC. However, several cervical carcinogenesis mechanisms are still unclear. Detecting pathologies in their earliest stages can significantly improve a patient’s survival rate, prognosis, and recurrence. The present review is an update on the proteomic study of CC.
“…Proteomics analysis is a powerful tool for monitoring the change of protein levels to discover new biomarkers in many cancers, such as colorectal cancer, pancreatic cancer, and neuroendocrine cervical cancer ( Lin et al, 2014 ; Pan, Brentnall & Chen, 2015 ; Chauvin & Boisvert, 2018 ). Unique membrane proteins have been identified using proteomics analysis of the cervical cancer cell lines ( Pappa et al, 2018 ). Lee et al (2011) studied the proteome of cervical mucus plugs and suggested its role for maintaining pregnancy and parturition.…”
Background
Cervical cancer is the most common gynecological cancer, encompassing cervical squamous cell carcinoma, adenocarcinoma, and other epithelial tumors. There are many diagnostic methods to detect cervical cancers but no precision screening tool for cervical adenocarcinoma at present.
Material and methods
The cervical mucus from three normal cervices (Ctrl), three endocervical adenocarcinoma (EA), and three cervical adenocarcinoma in situ (AIS) was collected for proteomic analysis. The proteins were screened using liquid chromatography-mass spectrometry analysis (LC-MS). The biological function of the differently expressed proteins were predicted by Gene Ontology (GO).
Results
A total of 711 proteins were identified, including 237 differently expressed proteins identified in EA/Ctrl comparison, 256 differently expressed proteins identified in AIS/Ctrl comparison, and 242 differently expressed proteins identified in AIS/EA comparison (up-regulate ≥ 1.5 or down-regulate ≤ 0.67). Functional annotation was performed using GO analysis on 1,056 differently expressed proteins to identify those that may impact cervical cancer, such as heme protein myeloperoxidase, which is involved in the immune process, and APOA1, which is associated with lipid metabolism.
Conclusion
We used proteomic analysis to screen out differently expressed proteins from normal cervical mucus and cervical adenocarcinoma mucus samples. These differently expressed proteins may be potential biomarkers for the diagnosis and treatment of cervical adenocarcinoma but require additional study.
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