Biological markers of prognosis, response to therapy and outcome in ovarian carcinoma

Szajnik, Marta; Czystowska-Kuźmicz, Małgorzata; Elishaev, Esther; Whiteside, Theresa L.

doi:10.1080/14737159.2016.1194758

Cited by 39 publications

(28 citation statements)

References 184 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Ovarian cancer (OC) is the most fatal gynecologic malignancy worldwide [18,19]. Because of the lack of early diagnostic markers [20], almost 50% of OC is diagnosed in women over the age of 65 [21], the majority of ovarian cancer patients are diagnosed in an advanced stage [22]. Hence, to address this question, we performed a comparative analysis of the protein and lipid composition of 2 different cell line derived exosomes.…”

Section: Introductionmentioning

confidence: 99%

Proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells and ovarian surface epithelial cells

et al. 2020

View full text Add to dashboard Cite

Background: The limitation of current biomarker of early stage ovarian cancer and the anatomical location of ovarian (depths of the pelvic) make ovarian cancer difficult to be detected in early stage. Growing evidence shows exosomes as key information transmitters, it carried molecules, such as miRNAs, proteins, lipids, double-stranded DNA have been reported as promising biomarkers in many diseases. However, little is known about the protein and lipid composition of ovarian cancer. Methods: Here, we report proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells (SKOV-3) and ovarian surface epithelial cells (HOSEPiC). Results: A total of 1433 proteins and 1227 lipid species were identified from two cell line derived exosomes. Several lipid species and proteins significantly differ in SKOV-3 derived exosomes compared to those from HOSEPiC. For example, we noted that ChE and ZyE species were in general more abundant in exosomes from SKOV-3 than from HOSEPiC; Collagen type V alpha 2 chain (COL5A2) and lipoprotein lipase (LPL) were significantly higher in SKOV-3 derived exosomes than HOSEpic (p < 0.05). Conclusions: Our research indicates the promising role of exosomal proteins and lipids in the early diagnosis of ovarian cancer.

show abstract

Section: Introductionmentioning

confidence: 99%

Proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells and ovarian surface epithelial cells

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Various researchers have identified miRNAs as potential biomarkers for the diagnosis, prognosis and prediction of the response to radiation therapy in tumorigenesis [30,36,37]. Promising roles of miRNA in carcinogenesis have been shown to be closely related to the epithelial-mesenchymal transition, cancer stem cell properties, tumor metastasis initiation and response to radiotherapy or chemotherapy [38].…”

Section: Discussionmentioning

confidence: 99%

Downregulation of MicroRNA-330 Correlates with the Radiation Sensitivity and Prognosis of Patients with Brain Metastasis from Lung Cancer

Jiang

Zhu²,

Zhang

et al. 2017

Cell Physiol Biochem

View full text Add to dashboard Cite

Background: The present study sought to explore the role of in predicting the radiation response and prognosis of patients with brain metastasis (BM) from lung cancer (LC). Methods: Patients with BM from LC were identified and classified into radiation-sensitive and radiation-resistant groups according to the overall survival rate, local and distant recurrence rate after conventional whole-brain radiation therapy. Quantitative realtime polymerase chain reaction (qRT-PCR) was used to detect miR-330 expression in serum. Receiver operating characteristic (ROC) curves were used to evaluate the prognostic value of miR-330 for the radiation sensitivity of brain metastasis from LC. Related clinical factors for radiation sensitivity were assessed by logistic regression analysis, and a survival analysis was conducted using COX regression and the Kaplan-Meier method. Results: MiR-330 exhibited lower expression in the radiation-sensitive group than in the radiation-resistant group. The area under the ROC curve of miR-330 for predicting radiation sensitivity was 0.898 (optimal cut-off value, 0.815), with a sensitivity of 71.7% and a specificity of 90.1%. After radiation therapy, patients with low miR-330 expression, compared to patients with high miR-330 expression, displayed a lower survival rate and a median survival time. MiR-330 expression was correlated with extracranial metastasis, maximum BM diameter, tumor-node-metastasis (TNM) stage and node (N) stage. Logistic regression and COX regression analyses revealed that extracranial metastasis, TNM stage, N stage and miR-330 expression were factors that influenced both radiation sensitivity and individual prognostic factors in patients with BM from LC. Conclusions: These findings indicate that the downregulation of miR-330 correlates with radiation sensitivity and poor prognosis in patients with BM from LC.

show abstract

“…Gangliosides can be detected in blood plasma by a chromatographic mass spectrometry-based assay [ 60 ], while antibodies against these gangliosides can be detected by ELISA. Tumor-derived exosomes can be isolated and characterized by novel state-of-the-art microfluidic lab-on-a-chip technology [ 61 , 62 , 63 ]. The secreted tumor-derived factors have been shown to impact lymphoid and myeloid subsets by skewing them towards immunosuppressive cells.…”

Section: General Signs Of Immune Suppressionmentioning

confidence: 99%

Monitoring of the Immune Dysfunction in Cancer Patients

2016

View full text Add to dashboard Cite

Immunotherapy shows promising clinical results in patients with different types of cancer, but its full potential is not reached due to immune dysfunction as a result of several suppressive mechanisms that play a role in cancer development and progression. Monitoring of immune dysfunction is a prerequisite for the development of strategies aiming to alleviate cancer-induced immune suppression. At this point, the level at which immune dysfunction occurs has to be established, the underlying mechanism(s) need to be known, as well as the techniques to assess this. While it is relatively easy to measure general signs of immune suppression, it turns out that accurate monitoring of the frequency and function of immune-suppressive cells is still difficult. A lack of truly specific markers, the phenotypic complexity among suppressive cells of the same lineage, but potentially with different functions and functional assays that may not cover every mechanistic aspect of immune suppression are among the reasons complicating proper assessments. Technical innovations in flow and mass cytometry will allow for more complete sets of markers to precisely determine phenotype and associated function. There is, however, a clear need for functional assays that recapitulate more of the mechanisms employed to suppress the immune system.

show abstract

Biological markers of prognosis, response to therapy and outcome in ovarian carcinoma

Cited by 39 publications

References 184 publications

Proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells and ovarian surface epithelial cells

Proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells and ovarian surface epithelial cells

Downregulation of MicroRNA-330 Correlates with the Radiation Sensitivity and Prognosis of Patients with Brain Metastasis from Lung Cancer

Monitoring of the Immune Dysfunction in Cancer Patients

Contact Info

Product

Resources

About