DSN1: A Potential Biomarker in Endometrial Cancer
Research shows DSN1 may improve early detection and treatment of endometrial cancer.
Jingying Pan, Shuhan Huang, Bidong Fu, Ruiyu Zhang, Minqin Zhou, Zichuan Yu, Hong Zeng, Xitong Geng, Yanting Zhu, Hao Zheng, Hao Wan, Xiaoyu Qu, Shengwei Tang, Yanying Zhong
― 5 min read
Table of Contents
- What Are Biomarkers?
- Meet DSN1
- Investigating DSN1's Role in Endometrial Cancer
- Collecting Samples
- Finding Differently Expressed Genes
- Culturing Cells
- Analyzing DSN1 Expression
- Delving Deeper into DSN1
- Investigating Biological Processes
- Protein-Protein Interactions
- The Immune System and DSN1
- Drug Interactions and Sensitivity
- Conclusion
- Original Source
- Reference Links
Endometrial Cancer is a type of cancer that affects the lining of the uterus. It’s pretty common among women, ranking as the fourth most frequent cancer they face. In recent years, the number of cases has risen sharply, and sadly, so has the number of deaths caused by this disease. Early detection is key, and while some early-stage cases can be managed with surgery and radiation, late-stage cases still leave much to be desired in terms of good outcomes. In fact, for those with stage IV endometrial cancer, the chance of surviving five years is only about 15%. This dismal statistic highlights the urgent need for better ways to catch and treat this cancer earlier, and that’s where Biomarkers come in.
What Are Biomarkers?
Biomarkers are basically signals in the body that can help doctors identify diseases, monitor their progress, and even check how well treatments are working. Finding reliable biomarkers for endometrial cancer could help improve diagnosis and treatment, making it super important to research them.
DSN1
MeetOne of the proteins that’s been drawing attention in this area is called DSN1. It’s a protein that helps in cell division and is found in the center of chromosomes. This particular protein is encoded by a gene located on chromosome 20, and it’s been linked to the instability of chromosomes, which is a characteristic of many cancers. Past studies have shown that DSN1 plays significant roles in various kinds of tumors, but its function in endometrial cancer hasn’t been much explored.
Investigating DSN1's Role in Endometrial Cancer
In our study, we took a closer look at DSN1 to see how it might be involved in endometrial cancer. By using some fancy techniques in bioinformatics and lab methods, we aimed to discover how DSN1 affects the disease and if it could serve as a helpful biomarker.
Collecting Samples
We examined samples from 50 patients who were diagnosed with endometrial cancer at a hospital. We made sure everything was done ethically, with the right approvals in place. The data we gathered showed a mix of normal tissues and tumor samples, which allowed us to analyze differences in gene expression.
Finding Differently Expressed Genes
Next, we analyzed the Gene Expressions in the collected data sets to find which genes were behaving differently in tumor tissues compared to normal ones. This involved diving into various databases and using statistical methods to help spot these changes.
Culturing Cells
We also grew a specific type of endometrial cancer cell in the lab to further study the role of DSN1. With these cells, we could manipulate the expression of DSN1 to see what happened.
Analyzing DSN1 Expression
Using various lab techniques, we looked at how much DSN1 was expressed in our samples. We aimed to see how its levels might correlate with the patients’ survival rates and other clinical data. Sure enough, we found that higher levels of DSN1 were often linked to poorer outcomes.
Delving Deeper into DSN1
Investigating Biological Processes
We employed additional analyses to explore the biological pathways that DSN1 might influence. It turned out that when DSN1 levels were high, certain pathways related to the cell cycle and DNA replication became more active. This is crucial because these pathways often lead to faster growth of cancer cells.
Protein-Protein Interactions
To understand how DSN1 works, we looked at other proteins it interacts with. One key player here is NDC80, a protein that’s involved in managing how chromosomes are separated during cell division. Our analysis suggested that DSN1 might work through NDC80 to promote the growth of endometrial cancer cells.
The Immune System and DSN1
Another interesting angle we explored was how DSN1 affects the immune response within the tumor environment. It appears that higher levels of DSN1 correspond to a reduced presence of certain immune cells that typically help fight tumors. Instead, there was an increase in Th2 cells, known for supporting tumor growth and suppressing Immune Responses. This could suggest that DSN1’s presence might shield the tumor from being attacked by the body’s own defenses.
Drug Interactions and Sensitivity
We also looked into how DSN1 interacts with certain cancer treatments. Surprisingly, we found that some drugs could either boost or reduce the expression of DSN1. This could have implications for how effective certain treatments are based on a patient’s DSN1 levels. For instance, patients with high DSN1 expression were more sensitive to a drug called cisplatin but less so to another drug named sunitinib.
Conclusion
In our exploration of endometrial cancer and the role of DSN1, we found that DSN1 could be a significant biomarker that might help in early diagnosis and treatment strategies. Patients with high levels of DSN1 often face poorer outcomes, suggesting that monitoring its levels could help tailor treatments more effectively.
In summary, while the journey to fully understanding endometrial cancer and the role of DSN1 is still ongoing, it’s clear that insights from research like this can pave the way for better patient care. As we continue to study DSN1, we hope to provide the medical community with useful tools to tackle this prevalent and challenging disease. So, fingers crossed that DSN1 can help us turn the tide against endometrial cancer!
Original Source
Title: Bioinformatics and machine learning-based identification of cell cycle-related genes and molecular subtypes in endometrial cancer
Abstract: Endometrial cancer is a common malignant tumor in women, with rising incidence rates and an unoptimistic prognosis. DSN1 is a kinetochore protein-coding gene that affects centromere assembly and progression in cell cycles, which is associated with adverse predictions for many cancers. However, the role of DSN1 in UCEC has not yet been reported. We identified the UCEC-related gene module and obtained the differential genes. Then we constructed a diagnostic model and identified the subtype of the molecule and its association with predictions. Subsequently, we identified DSN1 as the core gene and predicted its predictive value. Furthermore, using bioinformatics methods, we found DSN1 was associated with certain clinical characteristics and experimentally validated the expression in cancer tissues of DSN1. Pathway enrichment analysis identified DSN1 as a cell cycle-associated protein, which was validated by WB. The protein interaction network also revealed DSN1 was significantly associated with NDC80. Then we explored the correlation of DSN1 and immune cells and immune cell infiltration and found that DSN1 may affect Th2 enrichment by affecting CCL7 and CCL8. Drug susceptibility analysis showed DSN1 was sensitive to cisplatin and resistant to sunitinib. In conclusion, DSN1 was a novel biomarker that contributes to prognosis and treatment.
Authors: Jingying Pan, Shuhan Huang, Bidong Fu, Ruiyu Zhang, Minqin Zhou, Zichuan Yu, Hong Zeng, Xitong Geng, Yanting Zhu, Hao Zheng, Hao Wan, Xiaoyu Qu, Shengwei Tang, Yanying Zhong
Last Update: 2024-11-28 00:00:00
Language: English
Source URL: https://www.medrxiv.org/content/10.1101/2024.11.27.24318050
Source PDF: https://www.medrxiv.org/content/10.1101/2024.11.27.24318050.full.pdf
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
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