scholarly journals Inherited variants affecting RNA editing may contribute to ovarian cancer susceptibility: results from a large-scale collaboration

Oncotarget ◽  
2016 ◽  
Vol 7 (45) ◽  
pp. 72381-72394 ◽  
Author(s):  
Jennifer B. Permuth ◽  
Brett Reid ◽  
Madalene Earp ◽  
Y. Ann Chen ◽  
Alvaro N.A. Monteiro ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Rna Editing ◽  
Large Scale ◽  
Cancer Susceptibility

Abstract 4635: Inherited variants affecting RNA editing may contribute to ovarian cancer susceptibility

2015 ◽  
Author(s):  
Jennifer Permuth-Wey ◽  
Brett M. Reid ◽  
Y. Ann Chen ◽  
Hui-Yi Lin ◽  
Alvaro Monteiro ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Rna Editing ◽  
Cancer Susceptibility

CONTRIBUTION OF DNA COPY-NUMBER VARIATION (CNV) TO CANCER SUSCEPTIBILITY AND LARGE-SCALE GENOME ALTERATIONS IN OSTEOSARCOMA (OS)

2008 ◽  
Vol 31 (4) ◽  
pp. 19
Author(s):  
I Pasic ◽  
A Shlien ◽  
A Novokmet ◽  
C Zhang ◽  
U Tabori ◽  
...  
Keyword(s):  
Genomic Instability ◽  
Large Scale ◽  
Structural Variation ◽  
Age Of Onset ◽  
Cancer Susceptibility ◽  
Small Sample Size ◽  
Snp Array ◽  
Tumour Suppressor Gene ◽  
Small Sample ◽  
International Hapmap Project

Introduction: OS, a common Li-Fraumeni syndrome (LFS)-associated neoplasm, is a common bone malignancy of children and adolescents. Sporadic OS is also characterized by young age of onset and high genomic instability, suggesting a genetic contribution to disease. This study examined the contribution of novel DNA structural variation elements, CNVs, to OS susceptibility. Given our finding of excessive constitutional DNA CNV in LFS patients, which often coincide with cancer-related genes, we hypothesized that constitutional CNV may also provide clues about the aetiology of LFS-related sporadic neoplasms like OS. Methods: CNV in blood DNA of 26 patients with sporadic OS was compared to that of 263 normal control samples from the International HapMap project, as well as 62 local controls. Analysis was performed on DNA hybridized to Affymetrix genome-wide human SNP array 6.0 by Partek Genomic Suite. Results: There was no detectable difference in average number of CNVs, CNV length, and total structural variation (product of average CNV number and length) between individuals with OS and controls. While this data is preliminary (small sample size), it argues against the presence of constitutional genomic instability in individuals with sporadic OS. Conclusion: We found that the majority of tumours from patients with sporadic OS show CN loss at chr3q13.31, raising the possibility that chr3q13.31 may represent a “driver” region in OS aetiology. In at least one OS tumour, which displays CN loss at chr3q13.31, we demonstrate decreased expression of a known tumour suppressor gene located at chr3q13.31. We are investigating the role ofchr3q13.31 in development of OS.

The emerging roles of extracellular vesicles in ovarian cancer

2020 ◽  
Vol 21 ◽  
Author(s):  
Yin-xue Wang ◽  
Yi-xiang Wang ◽  
Yi-ke Li ◽  
Shi-yan Tu ◽  
Yi-qing Wang
Keyword(s):  
Ovarian Cancer ◽  
Extracellular Vesicles ◽  
Large Scale ◽  
Current Treatment ◽  
Detection Methods ◽  
Drug Resistant ◽  
Apoptotic Bodies ◽  
Biological Mechanisms ◽  
Gynecological Malignancy ◽  
Resistance To Chemotherapy

: Ovarian cancer (OC) is one of the deadliest gynecological malignancy. Epithelial ovarian cancer (EOC) is its most common form. OC has both a poor prognosis and a high mortality rate due to the difficulties of early diagnosis, the limitation of current treatment and resistance to chemotherapy. Extracellular vesicles is a heterogeneous group of cellderived submicron vesicles which can be detected in body fluids, and it can be classified into three main types including exosomes, micro-vesicles, and apoptotic bodies. Cancer cells can produce more EVs than healthy cells. Moreover, the contents of these EVs have been found distinct from each other. It has been considered that EVs shedding from tumor cells may be implicated in clinical applications. Such as a tool for tumor diagnosis, prognosis and potential treatment of certain cancers. In this review, we provide a brief description of EVs in diagnosis, prognosis, treatment, drug-resistant of OC. Cancer-related EVs show powerful influences on tumors by various biological mechanisms. However, the contents mentioned above remain in the laboratory stage and there is a lack of large-scale clinical trials, and the maturity of the purification and detection methods is a constraint. In addition, amplification of oncogenes on ecDNA is remarkably prevalent in cancer, it may be possible that ecDNA can be encapsulated in EVs and thus detected by us. In summary, much more research on EVs needs to be perform to reveal breakthroughs in OC and to accelerate the process of its application on clinic.

scholarly journals Functional Analysis and Fine Mapping of the 9p22.2 Ovarian Cancer Susceptibility Locus

2018 ◽  
Vol 79 (3) ◽  
pp. 467-481 ◽  
Author(s):  
Melissa A. Buckley ◽  
Nicholas T. Woods ◽  
Jonathan P. Tyrer ◽  
Gustavo Mendoza-Fandiño ◽  
Kate Lawrenson ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Functional Analysis ◽  
Fine Mapping ◽  
Cancer Susceptibility ◽  
Susceptibility Locus

scholarly journals Challenges and opportunities for ovarian cancer management in the epidemic of Covid-19: lessons learned from Wuhan, China

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Zhilan Chen ◽  
Chun Zhang ◽  
Jiu Yin ◽  
Xin Xin ◽  
Hemei Li ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Large Scale ◽  
Treatment Plan ◽  
Clinical Care ◽  
Gynecologic Cancer ◽  
Treatment Phase ◽  
Tumor Stage ◽  
Current Treatment ◽  
Lessons Learned ◽  
Cancer Management

AbstractChina and the rest of the world are experiencing an outbreak of the 2019 novel coronavirus disease (COVID-19). Patients with cancer are more susceptible to viral infection and are more likely to develop severe complications, as compared to healthy individuals. The growing spread of COVID-19 presents challenges for the clinical care of patients with gynecological malignancies. Ovarian debulking surgery combined with the frequent need for chemotherapy is most likely why ovarian cancer was rated as the gynecologic cancer most affected by COVID-19. Therefore, ovarian cancer presents a particular challenging task. Concerning the ovarian cancer studies with confirmed COVID-19 reported from large-scale general hospitals in Wuhan, we hold that the treatment plan was adjusted appropriately and an individualized remedy was implemented. The recommendations discussed here were developed mainly based on the experience from Wuhan. We advise that the management strategy for ovarian cancer patients should be adjusted in the light of the local epidemic situation and formulated according to the pathological type, tumor stage and the current treatment phase. Online medical service is an effective and convenient communication platform during the pandemic.

scholarly journals The association between XRCC3 rs1799794 polymorphism and cancer risk: a meta-analysis of 34 case–control studies

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Weiqing Liu ◽  
Shumin Ma ◽  
Lei Liang ◽  
Zhiyong Kou ◽  
Hongbin Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Ovarian Cancer ◽  
Thyroid Cancer ◽  
Cancer Risk ◽  
Large Scale ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Cancer Type ◽  
Increased Risk ◽  
Risk Of Cancer

Abstract Background Studies on the XRCC3 rs1799794 polymorphism show that this polymorphism is involved in a variety of cancers, but its specific relationships or effects are not consistent. The purpose of this meta-analysis was to investigate the association between rs1799794 polymorphism and susceptibility to cancer. Methods PubMed, Embase, the Cochrane Library, Web of Science, and Scopus were searched for eligible studies through June 11, 2019. All analyses were performed with Stata 14.0. Subgroup analyses were performed by cancer type, ethnicity, source of control, and detection method. A total of 37 studies with 23,537 cases and 30,649 controls were included in this meta-analysis. Results XRCC3 rs1799794 increased cancer risk in the dominant model and heterozygous model (GG + AG vs. AA: odds ratio [OR] = 1.04, 95% confidence interval [CI] = 1.00–1.08, P = 0.051; AG vs. AA: OR = 1.05, 95% CI = 1.00–1.01, P = 0.015). The existence of rs1799794 increased the risk of breast cancer and thyroid cancer, but reduced the risk of ovarian cancer. In addition, rs1799794 increased the risk of cancer in the Caucasian population. Conclusion This meta-analysis confirms that XRCC3 rs1799794 is related to cancer risk, especially increased risk for breast cancer and thyroid cancer and reduced risk for ovarian cancer. However, well-designed large-scale studies are required to further evaluate the results.

scholarly journals Upstream – News in Genomics

2002 ◽  
Vol 3 (3) ◽  
pp. 221-225
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Ovarian Cancer ◽  
Oryza Sativa ◽  
Schizosaccharomyces Pombe ◽  
Fission Yeast ◽  
Proteomic Analysis ◽  
Large Scale ◽  
Protein Complexes ◽  
The Other ◽  
Blood Samples

In recent months a bumper crop of genomes has been completed, including the fission yeast (Schizosaccharomyces pombe) and rice (Oryza sativa). Two large-scale studies ofSaccharomyces cerevisiaeprotein complexes provided a picture of the eukaryotic proteome as a network of complexes. Amongst the other stories of interest was a demonstration that proteomic analysis of blood samples can be used to detect ovarian cancer, perhaps even as early as stage I.

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