Insert INTO PMID_Summary(PMID,summaryText,IPAddress,dtCreated) VALUES (31205821, '** Cancer, particularly breast, ovarian, endometrial, and cervical cancers, is a leading cause of death among women, highlighting the need for better early genetic-based diagnostic tools to improve survival rates. ** Research combined data from various cancer types, identifying 52 common genes associated with these cancers, which are linked to hormonal regulation and could aid in quicker diagnosis and treatment. ** A deeper analysis revealed 38 hormone-related genes, including those linked to the ovulation cycle, and introduced 20 novel genes that may enhance our understanding of hormonal influences on cancer, marking a significant step in cancer diagnosis and prognosis. **','13.58.32.115',now()) Integrative analysis of common genes and driver mutations implicated in hormone stimulation for four cancers in women. | LitMetric

AI Article Synopsis

  • Cancer, particularly breast, ovarian, endometrial, and cervical cancers, is a leading cause of death among women, highlighting the need for better early genetic-based diagnostic tools to improve survival rates.
  • Research combined data from various cancer types, identifying 52 common genes associated with these cancers, which are linked to hormonal regulation and could aid in quicker diagnosis and treatment.
  • A deeper analysis revealed 38 hormone-related genes, including those linked to the ovulation cycle, and introduced 20 novel genes that may enhance our understanding of hormonal influences on cancer, marking a significant step in cancer diagnosis and prognosis.

Article Abstract

Cancer is one of the leading cause of death of women worldwide, and breast, ovarian, endometrial and cervical cancers contribute significantly to this every year. Developing early genetic-based diagnostic tools may be an effective approach to increase the chances of survival and provide more treatment opportunities. However, the current cancer genetic studies are mainly conducted independently and, hence lack of common driver genes involved in cancers in women. To explore the potential common molecular mechanism, we integrated four comprehensive literature-based databases to explore the shared implicated genetic effects. Using a total of 460 endometrial, 2,068 ovarian, 2,308 breast and 537 cervical cancer-implicated genes, we identified 52 genes which are common in all four types of cancers in women. Furthermore, we defined their potential functional role in endogenous hormonal regulation pathways within the context of four cancers in women. For example, these genes are strongly associated with hormonal stimulation, which may facilitate rapid diagnosis and treatment management decision making. Additional mutational analyses on combined the cancer genome atlas datasets consisting of 5,919 gynaecological and breast tumor samples were conducted to identify the frequently mutated genes across cancer types. For those common implicated genes for hormonal stimulants, we found that three quarter of 5,919 samples had genomic alteration with the highest frequency in (22%), followed by (19%), (14%), (13%), (13%) and (11%). We also identified 38 hormone related genes, eight of which are associated with the ovulation cycle. Further systems biology approach of the shared genes identified 20 novel genes, of which 12 were involved in the hormone regulation in these four cancers in women. Identification of common driver genes for hormone stimulation provided an unique angle of involving the potential of the hormone stimulants-related genes for cancer diagnosis and prognosis.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6556371PMC
http://dx.doi.org/10.7717/peerj.6872DOI Listing

Publication Analysis

Top Keywords

cancers women
20
genes
12
hormone stimulation
8
common driver
8
driver genes
8
genes involved
8
genes identified
8
genes associated
8
genes cancer
8
common
6

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!