Dissertation
An integrated study of women-specific cancers and infertility rate using genomics and bioinformatics
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast, Queensland
2022
DOI:
https://doi.org/10.25907/00724
Abstract
Cancers and infertility are the major diseases causing significant impact on women’s physical and mental health. Every year, the number of women affected by these diseases is increasing. Breast, ovarian, endometrial and cervical cancers are the primary women cancers, which contribute significantly to the deaths of millions of women worldwide. In addition, female infertility, also known as endometriosis, is a major cause of mental health problems in women, as around 30% of infertility is because of a problem with the woman. Therefore, these diseases are creating an ever-increasing burden. As these diseases are specific to women or related to gynaecology, exploration of common genetic mechanisms can be useful for their efficient management. Over the years, numerous clinical studies had been undertaken on these women-specific diseases and showed symptomological association between infertility and cancers. Yet, the genetic relationship among women-specific cancers and infertility is still unclear. This thesis study used an integrated investigation (bioinformatic and genomic) to identify and explain the common genetic mechanisms across women cancers and associated infertility.
Initially (Chapter 2), we explored the potential common molecular mechanisms in four women-specific cancers by integrating four comprehensive literature-based databases comprising a total of 460 endometrial, 2,068 ovarian, 2,308 breast and 537 cervical cancer-implicated genes. Overall, 52 genes were identified that are common in all four types of women cancers and these genes could be defined into potential functional roles associated with endogenous hormonal regulation pathways.
Details
- Title
- An integrated study of women-specific cancers and infertility rate using genomics and bioinformatics
- Authors
- Salma Bhyan
- Contributors
- Scott Cummins (Supervisor) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
- Awarding institution
- University of the Sunshine Coast, Queensland
- Degree awarded
- Doctor of Philosophy
- Publisher
- University of the Sunshine Coast, Queensland
- DOI
- 10.25907/00724
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99695098102621
- Output Type
- Dissertation
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