PROM1, CXCL8, RUNX1, NAV1 and TP73 genes as independent markers predictive of prognosis or response to treatment in two cohorts of high-grade serous ovarian cancer patients.
Considering the vast biological diversity and high mortality rate in high-grade ovarian cancers, identification of novel biomarkers, enabling precise diagnosis and effective, less aggravating treatment, is of paramount importance. Based on scientific literature data, we selected 80 cancer-related ge...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0271539 |
| _version_ | 1828189818818920448 |
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| author | Agnieszka Dansonka-Mieszkowska Laura Aleksandra Szafron Magdalena Kulesza Anna Stachurska Pawel Leszczynski Agnieszka Tomczyk-Szatkowska Piotr Sobiczewski Joanna Parada Mariusz Kulinczak Joanna Moes-Sosnowska Barbara Pienkowska-Grela Jolanta Kupryjanczyk Magdalena Chechlinska Lukasz Michal Szafron |
| author_facet | Agnieszka Dansonka-Mieszkowska Laura Aleksandra Szafron Magdalena Kulesza Anna Stachurska Pawel Leszczynski Agnieszka Tomczyk-Szatkowska Piotr Sobiczewski Joanna Parada Mariusz Kulinczak Joanna Moes-Sosnowska Barbara Pienkowska-Grela Jolanta Kupryjanczyk Magdalena Chechlinska Lukasz Michal Szafron |
| author_sort | Agnieszka Dansonka-Mieszkowska |
| collection | DOAJ |
| description | Considering the vast biological diversity and high mortality rate in high-grade ovarian cancers, identification of novel biomarkers, enabling precise diagnosis and effective, less aggravating treatment, is of paramount importance. Based on scientific literature data, we selected 80 cancer-related genes and evaluated their mRNA expression in 70 high-grade serous ovarian cancer (HGSOC) samples by Real-Time qPCR. The results were validated in an independent Northern American cohort of 85 HGSOC patients with publicly available NGS RNA-seq data. Detailed statistical analyses of our cohort with multivariate Cox and logistic regression models considering clinico-pathological data and different TP53 mutation statuses, revealed an altered expression of 49 genes to affect the prognosis and/or treatment response. Next, these genes were investigated in the validation cohort, to confirm the clinical significance of their expression alterations, and to identify genetic variants with an expected high or moderate impact on their products. The expression changes of five genes, PROM1, CXCL8, RUNX1, NAV1, TP73, were found to predict prognosis or response to treatment in both cohorts, depending on the TP53 mutation status. In addition, we revealed novel and confirmed known SNPs in these genes, and showed that SNPs in the PROM1 gene correlated with its elevated expression. |
| first_indexed | 2024-04-12T08:12:04Z |
| format | Article |
| id | doaj.art-35f430e812884866aa244686a5695513 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T08:12:04Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-35f430e812884866aa244686a56955132022-12-22T03:40:56ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01177e027153910.1371/journal.pone.0271539PROM1, CXCL8, RUNX1, NAV1 and TP73 genes as independent markers predictive of prognosis or response to treatment in two cohorts of high-grade serous ovarian cancer patients.Agnieszka Dansonka-MieszkowskaLaura Aleksandra SzafronMagdalena KuleszaAnna StachurskaPawel LeszczynskiAgnieszka Tomczyk-SzatkowskaPiotr SobiczewskiJoanna ParadaMariusz KulinczakJoanna Moes-SosnowskaBarbara Pienkowska-GrelaJolanta KupryjanczykMagdalena ChechlinskaLukasz Michal SzafronConsidering the vast biological diversity and high mortality rate in high-grade ovarian cancers, identification of novel biomarkers, enabling precise diagnosis and effective, less aggravating treatment, is of paramount importance. Based on scientific literature data, we selected 80 cancer-related genes and evaluated their mRNA expression in 70 high-grade serous ovarian cancer (HGSOC) samples by Real-Time qPCR. The results were validated in an independent Northern American cohort of 85 HGSOC patients with publicly available NGS RNA-seq data. Detailed statistical analyses of our cohort with multivariate Cox and logistic regression models considering clinico-pathological data and different TP53 mutation statuses, revealed an altered expression of 49 genes to affect the prognosis and/or treatment response. Next, these genes were investigated in the validation cohort, to confirm the clinical significance of their expression alterations, and to identify genetic variants with an expected high or moderate impact on their products. The expression changes of five genes, PROM1, CXCL8, RUNX1, NAV1, TP73, were found to predict prognosis or response to treatment in both cohorts, depending on the TP53 mutation status. In addition, we revealed novel and confirmed known SNPs in these genes, and showed that SNPs in the PROM1 gene correlated with its elevated expression.https://doi.org/10.1371/journal.pone.0271539 |
| spellingShingle | Agnieszka Dansonka-Mieszkowska Laura Aleksandra Szafron Magdalena Kulesza Anna Stachurska Pawel Leszczynski Agnieszka Tomczyk-Szatkowska Piotr Sobiczewski Joanna Parada Mariusz Kulinczak Joanna Moes-Sosnowska Barbara Pienkowska-Grela Jolanta Kupryjanczyk Magdalena Chechlinska Lukasz Michal Szafron PROM1, CXCL8, RUNX1, NAV1 and TP73 genes as independent markers predictive of prognosis or response to treatment in two cohorts of high-grade serous ovarian cancer patients. PLoS ONE |
| title | PROM1, CXCL8, RUNX1, NAV1 and TP73 genes as independent markers predictive of prognosis or response to treatment in two cohorts of high-grade serous ovarian cancer patients. |
| title_full | PROM1, CXCL8, RUNX1, NAV1 and TP73 genes as independent markers predictive of prognosis or response to treatment in two cohorts of high-grade serous ovarian cancer patients. |
| title_fullStr | PROM1, CXCL8, RUNX1, NAV1 and TP73 genes as independent markers predictive of prognosis or response to treatment in two cohorts of high-grade serous ovarian cancer patients. |
| title_full_unstemmed | PROM1, CXCL8, RUNX1, NAV1 and TP73 genes as independent markers predictive of prognosis or response to treatment in two cohorts of high-grade serous ovarian cancer patients. |
| title_short | PROM1, CXCL8, RUNX1, NAV1 and TP73 genes as independent markers predictive of prognosis or response to treatment in two cohorts of high-grade serous ovarian cancer patients. |
| title_sort | prom1 cxcl8 runx1 nav1 and tp73 genes as independent markers predictive of prognosis or response to treatment in two cohorts of high grade serous ovarian cancer patients |
| url | https://doi.org/10.1371/journal.pone.0271539 |
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