Genomic Landscape Alterations in Primary Tumor and Matched Lymph Node Metastasis in Hormone-Naïve Prostate Cancer Patients
Background: Prostate cancer (PCa) is a disease with a wide range of clinical manifestations. Up to the present date, the genetic understanding of patients with favorable or unfavorable prognosis is gaining interest for giving the appropriate tailored treatment. We aimed to investigate genetic change...
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-08-01
|
| Series: | Cancers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-6694/14/17/4212 |
| _version_ | 1797496123573665792 |
|---|---|
| author | Giorgio Ivan Russo Paolo Bonacci Dalida Bivona Grete Francesca Privitera Giuseppe Broggi Rosario Caltabiano Jessica Vella Arturo Lo Giudice Maria Giovanna Asmundo Sebastiano Cimino Giuseppe Morgia Stefania Stefani Nicolò Musso |
| author_facet | Giorgio Ivan Russo Paolo Bonacci Dalida Bivona Grete Francesca Privitera Giuseppe Broggi Rosario Caltabiano Jessica Vella Arturo Lo Giudice Maria Giovanna Asmundo Sebastiano Cimino Giuseppe Morgia Stefania Stefani Nicolò Musso |
| author_sort | Giorgio Ivan Russo |
| collection | DOAJ |
| description | Background: Prostate cancer (PCa) is a disease with a wide range of clinical manifestations. Up to the present date, the genetic understanding of patients with favorable or unfavorable prognosis is gaining interest for giving the appropriate tailored treatment. We aimed to investigate genetic changes associated with lymph node metastasis in a cohort of hormone-naïve Pca patients. Methods: We retrospectively analyzed data from 470 patients who underwent surgery for PCa between 2010 and 2020 at the Department of Urology, University of Catania. Inclusion criteria were patients with lymph node metastasis and patients with PCa with extra capsular extension (pT3) and negative lymph node metastasis. The final cohort consisted of 17 different patients (11 PCa with lymph node metastasis and 6 PCa without lymph node metastasis). Through the cBioPortal online tool, we analyzed gene alterations and their correlations with clinical factors. Results: A total of 688 intronic, synonym and nonsynonym mutations were sequenced. The gene with the most sequenced mutations was ERBB4 (83 mutations, 12% of 688 total), while the ones with the lower percentage of mutations were AKT1, FGFR2 and MLH1 (1 mutation alone, 0.14%). Conclusion: In the present study we found mostly concordance concerning the <i>ERBB4</i> mutation between both primary PCa samples and matched lymph node metastasis, underlining that the identification of alterations in the primary tumor is extremely important for cancer prognosis prediction. |
| first_indexed | 2024-03-10T01:59:10Z |
| format | Article |
| id | doaj.art-bef898b761d34ba098772b82e337f680 |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-10T01:59:10Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-bef898b761d34ba098772b82e337f6802023-11-23T12:51:40ZengMDPI AGCancers2072-66942022-08-011417421210.3390/cancers14174212Genomic Landscape Alterations in Primary Tumor and Matched Lymph Node Metastasis in Hormone-Naïve Prostate Cancer PatientsGiorgio Ivan Russo0Paolo Bonacci1Dalida Bivona2Grete Francesca Privitera3Giuseppe Broggi4Rosario Caltabiano5Jessica Vella6Arturo Lo Giudice7Maria Giovanna Asmundo8Sebastiano Cimino9Giuseppe Morgia10Stefania Stefani11Nicolò Musso12Urology Section, Department of Surgery, University of Catania, 95125 Catania, ItalyDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, ItalyDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, ItalyDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, ItalyDepartment of Medical and Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Anatomic Pathology, University of Catania, 95125 Catania, ItalyDepartment of Medical and Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Anatomic Pathology, University of Catania, 95125 Catania, ItalyUrology Section, Department of Surgery, University of Catania, 95125 Catania, ItalyUrology Section, Department of Surgery, University of Catania, 95125 Catania, ItalyUrology Section, Department of Surgery, University of Catania, 95125 Catania, ItalyUrology Section, Department of Surgery, University of Catania, 95125 Catania, ItalyUrology Section, Department of Surgery, University of Catania, 95125 Catania, ItalyDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, ItalyDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, ItalyBackground: Prostate cancer (PCa) is a disease with a wide range of clinical manifestations. Up to the present date, the genetic understanding of patients with favorable or unfavorable prognosis is gaining interest for giving the appropriate tailored treatment. We aimed to investigate genetic changes associated with lymph node metastasis in a cohort of hormone-naïve Pca patients. Methods: We retrospectively analyzed data from 470 patients who underwent surgery for PCa between 2010 and 2020 at the Department of Urology, University of Catania. Inclusion criteria were patients with lymph node metastasis and patients with PCa with extra capsular extension (pT3) and negative lymph node metastasis. The final cohort consisted of 17 different patients (11 PCa with lymph node metastasis and 6 PCa without lymph node metastasis). Through the cBioPortal online tool, we analyzed gene alterations and their correlations with clinical factors. Results: A total of 688 intronic, synonym and nonsynonym mutations were sequenced. The gene with the most sequenced mutations was ERBB4 (83 mutations, 12% of 688 total), while the ones with the lower percentage of mutations were AKT1, FGFR2 and MLH1 (1 mutation alone, 0.14%). Conclusion: In the present study we found mostly concordance concerning the <i>ERBB4</i> mutation between both primary PCa samples and matched lymph node metastasis, underlining that the identification of alterations in the primary tumor is extremely important for cancer prognosis prediction.https://www.mdpi.com/2072-6694/14/17/4212next generation sequencingprognosisoutcomeradical prostatectomyKITABL1 |
| spellingShingle | Giorgio Ivan Russo Paolo Bonacci Dalida Bivona Grete Francesca Privitera Giuseppe Broggi Rosario Caltabiano Jessica Vella Arturo Lo Giudice Maria Giovanna Asmundo Sebastiano Cimino Giuseppe Morgia Stefania Stefani Nicolò Musso Genomic Landscape Alterations in Primary Tumor and Matched Lymph Node Metastasis in Hormone-Naïve Prostate Cancer Patients Cancers next generation sequencing prognosis outcome radical prostatectomy KIT ABL1 |
| title | Genomic Landscape Alterations in Primary Tumor and Matched Lymph Node Metastasis in Hormone-Naïve Prostate Cancer Patients |
| title_full | Genomic Landscape Alterations in Primary Tumor and Matched Lymph Node Metastasis in Hormone-Naïve Prostate Cancer Patients |
| title_fullStr | Genomic Landscape Alterations in Primary Tumor and Matched Lymph Node Metastasis in Hormone-Naïve Prostate Cancer Patients |
| title_full_unstemmed | Genomic Landscape Alterations in Primary Tumor and Matched Lymph Node Metastasis in Hormone-Naïve Prostate Cancer Patients |
| title_short | Genomic Landscape Alterations in Primary Tumor and Matched Lymph Node Metastasis in Hormone-Naïve Prostate Cancer Patients |
| title_sort | genomic landscape alterations in primary tumor and matched lymph node metastasis in hormone naive prostate cancer patients |
| topic | next generation sequencing prognosis outcome radical prostatectomy KIT ABL1 |
| url | https://www.mdpi.com/2072-6694/14/17/4212 |
| work_keys_str_mv | AT giorgioivanrusso genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT paolobonacci genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT dalidabivona genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT gretefrancescaprivitera genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT giuseppebroggi genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT rosariocaltabiano genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT jessicavella genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT arturologiudice genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT mariagiovannaasmundo genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT sebastianocimino genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT giuseppemorgia genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT stefaniastefani genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients AT nicolomusso genomiclandscapealterationsinprimarytumorandmatchedlymphnodemetastasisinhormonenaiveprostatecancerpatients |