The Role of Omics Approaches to Characterize Molecular Mechanisms of Rare Ovarian Cancers: Recent Advances and Future Perspectives

Subbannayya, Yashwanth; Fiore, Riccardo Di; Urru, Silvana Anna Maria; Calleja‐Agius, Jean

doi:10.3390/biomedicines9101481

Cited by 8 publications

(4 citation statements)

References 104 publications

(121 reference statements)

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“…As a result, if the CSF analysis is the first negative, it is suggested that it be repeated. [14] One disadvantage is that, while CSF cells are very selective in recognizing cancer cells, they are also hypoallergic.…”

Section: Literature Review Detection Of Cancer Cell Enzymes In the Csfmentioning

confidence: 99%

A Systematic Mapping Study of detection of Tumor Cell Targeted by Enzymes though Cerebrospinal Fluid

Saeed¹,

Abbasi²,

Hashim³

2023

Clin Cancer Investig J

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Cancers, especially of the neural tissue, are often deemed a death sentence. There is, however, still no clear understanding of the underlying causes nor the cellular and molecular mechanisms of this disease. The spread and collateral damage caused by various types of brain tumors remain poorly understood, despite the information that is currently available about these diseases. A common means of diagnosing tumors is through cerebrospinal fluid (CSF) leakage, and the enzymes from brain cancer cases were investigated within this hypothesis. The purpose of this study was to investigate the role of CSF in brain cancer and BBB. This study conducted a systematic study of leakage that typically occurs at the spine level, namely in the thoracic spine region and the base of the brain along the cardiothoracic connection. This study investigated the bacteria sampling of brain cancer in CSF and determined the common method of targeting cancer cells in the brain and enzymes contained within the CSF. A further finding reveals the precise foci of this leakage and various proteins and enzymes that may be responsible for this damage, as well as evidence that the release of tumor components damages the CSF. As a result of these observations, enzymes and tumor cells are detected, and a new component identifies tumor-related CSF.

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Section: Literature Review Detection Of Cancer Cell Enzymes In the Csfmentioning

confidence: 99%

A Systematic Mapping Study of detection of Tumor Cell Targeted by Enzymes though Cerebrospinal Fluid

Saeed¹,

Abbasi²,

Hashim³

2023

Clin Cancer Investig J

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“…The biological activity of metabolites is a systems biology issue [53][54][55][56][57]. Combining metabolomics with other omics is attractive because the integration elucidates networks of molecular mechanisms in tumorigenesis [58][59][60], and can enhance personalized medicine [61][62][63][64][65][66][67]. For instance, using combined MS and HPLC can obtain information about individual differences in a patient's metabolome and proteome, something that is difficult to achieve by solely using next-generation sequencing (NGS).…”

Section: Integration Of Metabolomics To Other Omic Platformsmentioning

confidence: 99%

The Integration of Metabolomics with Other Omics: Insights into Understanding Prostate Cancer

Resurreccion

Fong

2022

Metabolites

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Our understanding of prostate cancer (PCa) has shifted from solely caused by a few genetic aberrations to a combination of complex biochemical dysregulations with the prostate metabolome at its core. The role of metabolomics in analyzing the pathophysiology of PCa is indispensable. However, to fully elucidate real-time complex dysregulation in prostate cells, an integrated approach based on metabolomics and other omics is warranted. Individually, genomics, transcriptomics, and proteomics are robust, but they are not enough to achieve a holistic view of PCa tumorigenesis. This review is the first of its kind to focus solely on the integration of metabolomics with multi-omic platforms in PCa research, including a detailed emphasis on the metabolomic profile of PCa. The authors intend to provide researchers in the field with a comprehensive knowledge base in PCa metabolomics and offer perspectives on overcoming limitations of the tool to guide future point-of-care applications.

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“…Several difficult problems in obstetrics and gynecology have been explored using the promising new field of scientific breakthrough “OMICS” technology. 1 These methods rely on only a small quantity of biological material by performing a single experiment with cutting-edge molecular biology tools. 2 Although proteome research has traditionally been used in biomedical engineering for 2 distinct but overlapping purposes—identifying novel treatment targets and studying biomarkers—these 2 lines of investigation now often intersect.…”

Section: Introductionmentioning

confidence: 99%

Protein Expression and Bioinformatics Study of Granulosa Cells of Polycystic Ovary Syndrome Expressed Under the Influence of DHEA

Pant,

Sircar,

Prasad

et al. 2023

Clin Med Insights Endocrinol Diabetes

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Background: The reproductive system is heavily dependent on ovarian follicles, which are made up of germ cells (oocytes) and granulosa cells (GCs), including cumulus granulosa cells (CGCs) and mural granulosa cells (MGCs). Understanding their normal and steroid-induced functions is the key to understanding the pathophysiology of endocrinal diseases in women. Objective: This study investigated the differentially expressed proteins by CGCs and MGCs of patients with polycystic ovarian syndrome (PCOS) and without subsequent exposure to dehydroepiandrosterone sulfate (DHEAS) and functional differentiation. Design: The present study was observational and experimental study carried out in hospital involving 80 female patients undergoing IVF for infertility. Methods: In this study, we isolated CGCs and MGCs from the follicular fluid of both PCOS and non-PCOS patients undergoing in vitro fertilization (IVF). The cells were cultured and treated with DHEAS for 48 hours, and these cells were extracted, digested, and analyzed by tandem mass spectrometry followed by processing of the results using open-source bioinformatics tools. Results: The present investigation discovered 276 and 341 proteins in CGCs and MGCs, respectively. DHEAS reduced the number of proteins expressed by CGCs and MGCs to 34 and 57 from 91 and 94, respectively. Venn results of CGCs revealed 49, 53, 36, and 21 proteins in normal CGCs, PCOS-CGCs, post-DHEAS, and PCOS-CGCs, respectively. Venn analysis of MGCs showed 51 proteins specific to PCOS and 29 shared by normal and PCOS samples after DHEAS therapy. MGCs express the most binding and catalytic proteins, whereas CGCs express transporter-related proteins. A protein pathway study demonstrated considerable differences between normal and PCOS samples, while DHEAS-treated samples of both cell lines showed distinct pathways. String findings identified important network route components such as albumin, actin, apolipoprotein, complement component C3, and heat shock protein. Conclusion: This is the first study to show how DHEAS-induced stress affects the expression of proteins by MGCs and CGCs isolated from normal and PCOS patients. Further studies are recommended to identify PCOS biomarkers from CGCs and MGCs expressed under the influence of DHEAS.

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The Role of Omics Approaches to Characterize Molecular Mechanisms of Rare Ovarian Cancers: Recent Advances and Future Perspectives

Cited by 8 publications

References 104 publications

A Systematic Mapping Study of detection of Tumor Cell Targeted by Enzymes though Cerebrospinal Fluid

A Systematic Mapping Study of detection of Tumor Cell Targeted by Enzymes though Cerebrospinal Fluid

The Integration of Metabolomics with Other Omics: Insights into Understanding Prostate Cancer

Protein Expression and Bioinformatics Study of Granulosa Cells of Polycystic Ovary Syndrome Expressed Under the Influence of DHEA

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