{"title":"BRD4抑制剂JQ1可能通过超增强子相关基因影响宫颈癌预后","authors":"","doi":"10.22514/ejgo.2023.076","DOIUrl":null,"url":null,"abstract":"To explore the effects of bromine domain protein 4 (BRD4) inhibitor JQ1 on the expression profile of super-enhancer-related genes (SE-genes) in cervical cancer (CC) HeLa cells and construct a prognosis model to explore the potential impact of JQ1 on the prognosis of CC. Whole transcriptome sequencing technology was used to detect changes in the gene expression profiles of JQ1-treated and control cells. Differentially expressed SE-genes were identified by matching via the dbCoRC database and Cistrome Data Browser (Cistrome DB). The prognosis of differentially expressed SE-genes was analyzed in the Cancer Genome Atlas (TCGA) dataset based on gene expression status. The Cox proportional risk model and least absolute shrinkage and selection operator (LASSO) regression were used to construct the prognostic model. A total of 1161 SE-genes were identified from dbCoRC and Cistrome DB, among which 1004 SE-genes were successfully matched to the expression profiles of JQ1 transcriptome sequencing. Differential expression analysis identified 110 differentially expressed SE-genes, among which 72 were down-regulated and 38 were upregulated. Then, a 9 SE-gene prognostic model was constructed, and Kaplan-Meier (K-M) curves showed that the high-risk group had significantly poorer clinical survival outcomes (p < 0.05). Time-dependent receiver operating characteristic (ROC) curves showed that the 1-year, 2-year and 3-year survival estimation of the proposed model was 0.82, 0.86 and 0.87, respectively, demonstrating excellent performance. JQ1 significantly impacts the SE-genes expression profile of HeLa cells, and the proposed model based on 9 differentially expressed SE-genes may effectively predict the survival outcomes of CC patients. As this study was based on exploratory analysis, further prospective studies are needed to v","PeriodicalId":11903,"journal":{"name":"European journal of gynaecological oncology","volume":"84 1","pages":"0"},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"BRD4 inhibitor JQ1 may affect the prognosis of cervical cancer through super-enhancer-related genes\",\"authors\":\"\",\"doi\":\"10.22514/ejgo.2023.076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To explore the effects of bromine domain protein 4 (BRD4) inhibitor JQ1 on the expression profile of super-enhancer-related genes (SE-genes) in cervical cancer (CC) HeLa cells and construct a prognosis model to explore the potential impact of JQ1 on the prognosis of CC. Whole transcriptome sequencing technology was used to detect changes in the gene expression profiles of JQ1-treated and control cells. Differentially expressed SE-genes were identified by matching via the dbCoRC database and Cistrome Data Browser (Cistrome DB). The prognosis of differentially expressed SE-genes was analyzed in the Cancer Genome Atlas (TCGA) dataset based on gene expression status. The Cox proportional risk model and least absolute shrinkage and selection operator (LASSO) regression were used to construct the prognostic model. A total of 1161 SE-genes were identified from dbCoRC and Cistrome DB, among which 1004 SE-genes were successfully matched to the expression profiles of JQ1 transcriptome sequencing. Differential expression analysis identified 110 differentially expressed SE-genes, among which 72 were down-regulated and 38 were upregulated. Then, a 9 SE-gene prognostic model was constructed, and Kaplan-Meier (K-M) curves showed that the high-risk group had significantly poorer clinical survival outcomes (p < 0.05). Time-dependent receiver operating characteristic (ROC) curves showed that the 1-year, 2-year and 3-year survival estimation of the proposed model was 0.82, 0.86 and 0.87, respectively, demonstrating excellent performance. JQ1 significantly impacts the SE-genes expression profile of HeLa cells, and the proposed model based on 9 differentially expressed SE-genes may effectively predict the survival outcomes of CC patients. As this study was based on exploratory analysis, further prospective studies are needed to v\",\"PeriodicalId\":11903,\"journal\":{\"name\":\"European journal of gynaecological oncology\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European journal of gynaecological oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22514/ejgo.2023.076\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European journal of gynaecological oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22514/ejgo.2023.076","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
BRD4 inhibitor JQ1 may affect the prognosis of cervical cancer through super-enhancer-related genes
To explore the effects of bromine domain protein 4 (BRD4) inhibitor JQ1 on the expression profile of super-enhancer-related genes (SE-genes) in cervical cancer (CC) HeLa cells and construct a prognosis model to explore the potential impact of JQ1 on the prognosis of CC. Whole transcriptome sequencing technology was used to detect changes in the gene expression profiles of JQ1-treated and control cells. Differentially expressed SE-genes were identified by matching via the dbCoRC database and Cistrome Data Browser (Cistrome DB). The prognosis of differentially expressed SE-genes was analyzed in the Cancer Genome Atlas (TCGA) dataset based on gene expression status. The Cox proportional risk model and least absolute shrinkage and selection operator (LASSO) regression were used to construct the prognostic model. A total of 1161 SE-genes were identified from dbCoRC and Cistrome DB, among which 1004 SE-genes were successfully matched to the expression profiles of JQ1 transcriptome sequencing. Differential expression analysis identified 110 differentially expressed SE-genes, among which 72 were down-regulated and 38 were upregulated. Then, a 9 SE-gene prognostic model was constructed, and Kaplan-Meier (K-M) curves showed that the high-risk group had significantly poorer clinical survival outcomes (p < 0.05). Time-dependent receiver operating characteristic (ROC) curves showed that the 1-year, 2-year and 3-year survival estimation of the proposed model was 0.82, 0.86 and 0.87, respectively, demonstrating excellent performance. JQ1 significantly impacts the SE-genes expression profile of HeLa cells, and the proposed model based on 9 differentially expressed SE-genes may effectively predict the survival outcomes of CC patients. As this study was based on exploratory analysis, further prospective studies are needed to v
期刊介绍:
EJGO is dedicated to publishing editorial articles in the Distinguished Expert Series and original research papers, case reports, letters to the Editor, book reviews, and newsletters. The Journal was founded in 1980 the second gynaecologic oncology hyperspecialization Journal in the world. Its aim is the diffusion of scientific, clinical and practical progress, and knowledge in female neoplastic diseases in an interdisciplinary approach among gynaecologists, oncologists, radiotherapists, surgeons, chemotherapists, pathologists, epidemiologists, and so on.