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Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
Published on: November 19, 2019
Single-cell sequencing reveals MYC targeting gene MAD2L1 is associated with prostate cancer bone metastasis tumor
Xing Wang1, Jiandi Yu1, Junfeng Yan1
1Department of Urology, Zhejiang Hospital, #1229, Gudun Road, Hangzhou, 310030, China.
Background:
Among malignant tumors, bone metastasis is frequently associated with prostate cancer which is seen in about 80% of patients. During cancer treatments, some tumor cells switch to a "dormant mode" to help tumor cells avoid attack from the immune system and anti-tumor therapies. In this dormant mode, tumor cells can be resuscitated, causing cancer to reoccur. The generally accepted explanation for this phenomenon is that the tumor cells have spread to the bone marrow before treatment and are dormant in the bone marrow. However, the key mechanism for inducing and maintaining the dormancy of these prostate cancer disseminated tumor cells in the bone marrow is still unclear. Therefore, studying the dormancy mechanism of tumor cells in bone metastasis is of great significance for the treatment and the prevention of recurrence of prostate cancer.
Methods:
We obtained single-cell RNA-seq data of tumors from mouse models of prostate cancer bone metastasis mouse model numbered (GSE147150) from the GEO database, and obtained RNA-seq expression data and clinical information from The Cancer Genome Atlas Program (TCGA) of prostate cancer patients from the USCS Xena database. Screening of differential genes and annotation of GO functions were performed separately. Subsequently, the screened differential genes were compared and analyzed with 50 classic Hallmark signaling pathways, and the prognosis analysis of prostate cancer patients in TCGA data was performed to discover the key genes of the dormant mechanism of tumor cells in bone metastasis, and obtain new biomarkers that can be used to predict the prognosis of patients.
Results:
A total of 378 differentially expressed genes were screened, of which 293 were significantly up-regulated and 85 were significantly down-regulated. Among them, the up-regulated genes were mainly related to the immune response, and the down-regulated genes were mainly related to the cell cycle. Through GSVA (Gene set variation analysis), it is found that there are differences in a total of 3 signal pathways: COMPLEMENT, MYC_TARGETS_V1 and MYC_TARGETS_V2. By comparing and analyzing the significantly down-regulated genes in dormant tumor cells with MYC_TARGETS_V1, MYC_TARGETS_V2, three significantly down-regulated genes were obtained: Ccna2, Mad2L1 and Plk1.
Conclusion:
In summary, our findings indicate that the MYC targeting gene Mad2L1 is potentially related to the dormancy mechanism of prostate cancer. At the same time, Mad2L1, a gene associated with dormant prostate cancer cells, may be used as a biomarker for prognostic survival.
Insights
Prostate cancer bone metastasis involves dormant tumor cells. The MYC targeting gene Mad2L1 is identified as a key factor in this dormancy and may serve as a prognostic biomarker.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Bone metastasis is common in prostate cancer, affecting approximately 80% of patients.
- Tumor cells can enter a dormant state during treatment to evade therapies, potentially leading to recurrence.
- The precise mechanisms inducing and maintaining dormancy in bone marrow disseminated prostate cancer cells remain unclear.
Purpose of the Study:
- To investigate the key genes and mechanisms underlying prostate cancer cell dormancy in bone metastasis.
- To identify potential biomarkers for predicting patient prognosis.
Main Methods:
- Utilized single-cell RNA sequencing data from mouse models and The Cancer Genome Atlas (TCGA) data for prostate cancer patients.
- Performed differential gene screening, Gene Ontology (GO) function annotation, and Gene Set Variation Analysis (GSVA).
- Analyzed correlations between differentially expressed genes, Hallmark signaling pathways, and patient survival data.
Main Results:
- Identified 378 differentially expressed genes, with up-regulated genes linked to immune response and down-regulated genes to the cell cycle.
- Found significant differences in three signaling pathways: COMPLEMENT, MYC_TARGETS_V1, and MYC_TARGETS_V2.
- Pinpointed three significantly down-regulated genes in dormant cells: Ccna2, Mad2L1, and Plk1.
Conclusions:
- The MYC targeting gene Mad2L1 is implicated in the dormancy mechanism of prostate cancer.
- Mad2L1 shows potential as a biomarker for predicting prognostic survival in prostate cancer patients.
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