An In Silico Analysis Identified Members of the Pleckstrin Homology-Like Domain, Family B (PHLDB family) as Potential Prognostic and Predictive Biomarkers of Treatment Response in Breast Cancer Patients
Objective:Breast cancer is the leading cause of morbidity and mortality in women worldwide. This malignant neoplasm can be classified into four clinically relevant subtypes according to the expression of a number of biomarkers. However, these tumors show considerable intratumoral heterogeneity and m...
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| Format: | Article |
| Language: | English |
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Galenos Publishing House
2022-07-01
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| Series: | European Journal of Breast Health |
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| Online Access: |
http://www.eurjbreasthealth.com/archives/archive-detail/article-preview/an-in-silico-i-analysis-dentified-members-of-the-p/52374
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| _version_ | 1797908638617042944 |
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| author | Renan Gomes do Nascimento Jéssica de Moraes Danilo de Oliveira Cerqueira Sandro Jorge Januário |
| author_facet | Renan Gomes do Nascimento Jéssica de Moraes Danilo de Oliveira Cerqueira Sandro Jorge Januário |
| author_sort | Renan Gomes do Nascimento |
| collection | DOAJ |
| description | Objective:Breast cancer is the leading cause of morbidity and mortality in women worldwide. This malignant neoplasm can be classified into four clinically relevant subtypes according to the expression of a number of biomarkers. However, these tumors show considerable intratumoral heterogeneity and multidrug resistance. Members of the pleckstrin homology-like domain, family B (PHLDB) play a critical role in the regulation of p53 and AKT signaling pathways, important for cancer and cellular metabolism. The present study was performed to evaluate the expression pattern of PHLDB family members in breast cancer and its potential prognostic and predictive value for therapeutic response using bioinformatics tools.Materials and Methods:This in silico analysis was performed using several online repositories, including UALCAN, GEPIA2, bc-GenExMiner, KM Plotter, PrognoScan and ROC Plotter.Results:PHLDB family genes were found to be differentially expressed in tumor samples when compared to healthy breast tissue samples. Furthermore, epigenetic regulation may be one of the regulatory mechanisms for the expression of these markers. The PHLDB family of genes proved to be potential markers for predicting the development of lymph node metastasis (p<0.0001) and poor clinical outcome. All members of the PHLDB family were significantly correlated with hormone receptors. High levels of PHLDBs expression were associated with worse overall survival and recurrence-free survival in breast cancer patients. Finally, our data demonstrate that members of the PHLDB family can be promising markers in the stratification of patients who may or may not respond to different available therapies.Conclusion:Our cumulative results demonstrate that PHLDB family members may be promising biomarkers for predicting prognosis and therapeutic response in breast cancer patients. |
| first_indexed | 2024-04-10T10:55:38Z |
| format | Article |
| id | doaj.art-c05899ede8d949fbaded1382b1fd682d |
| institution | Directory Open Access Journal |
| issn | 2587-0831 |
| language | English |
| last_indexed | 2024-04-10T10:55:38Z |
| publishDate | 2022-07-01 |
| publisher | Galenos Publishing House |
| record_format | Article |
| series | European Journal of Breast Health |
| spelling | doaj.art-c05899ede8d949fbaded1382b1fd682d2023-02-15T16:20:00ZengGalenos Publishing HouseEuropean Journal of Breast Health2587-08312022-07-0118323524710.4274/ejbh.galenos.2022.2022-3-513049054An In Silico Analysis Identified Members of the Pleckstrin Homology-Like Domain, Family B (PHLDB family) as Potential Prognostic and Predictive Biomarkers of Treatment Response in Breast Cancer PatientsRenan Gomes do Nascimento0Jéssica de Moraes1Danilo de Oliveira Cerqueira2Sandro Jorge Januário3 Institute of Research and Education in Health of São Paulo (IPESSP), São Paulo-SP, Brazil Anhanguera University (UNIAN), Guarulhos-SP, Brazil Institute of Research and Education in Health of São Paulo (IPESSP), São Paulo-SP, Brazil Institute of Research and Education in Health of São Paulo (IPESSP), São Paulo-SP, Brazil Objective:Breast cancer is the leading cause of morbidity and mortality in women worldwide. This malignant neoplasm can be classified into four clinically relevant subtypes according to the expression of a number of biomarkers. However, these tumors show considerable intratumoral heterogeneity and multidrug resistance. Members of the pleckstrin homology-like domain, family B (PHLDB) play a critical role in the regulation of p53 and AKT signaling pathways, important for cancer and cellular metabolism. The present study was performed to evaluate the expression pattern of PHLDB family members in breast cancer and its potential prognostic and predictive value for therapeutic response using bioinformatics tools.Materials and Methods:This in silico analysis was performed using several online repositories, including UALCAN, GEPIA2, bc-GenExMiner, KM Plotter, PrognoScan and ROC Plotter.Results:PHLDB family genes were found to be differentially expressed in tumor samples when compared to healthy breast tissue samples. Furthermore, epigenetic regulation may be one of the regulatory mechanisms for the expression of these markers. The PHLDB family of genes proved to be potential markers for predicting the development of lymph node metastasis (p<0.0001) and poor clinical outcome. All members of the PHLDB family were significantly correlated with hormone receptors. High levels of PHLDBs expression were associated with worse overall survival and recurrence-free survival in breast cancer patients. Finally, our data demonstrate that members of the PHLDB family can be promising markers in the stratification of patients who may or may not respond to different available therapies.Conclusion:Our cumulative results demonstrate that PHLDB family members may be promising biomarkers for predicting prognosis and therapeutic response in breast cancer patients. http://www.eurjbreasthealth.com/archives/archive-detail/article-preview/an-in-silico-i-analysis-dentified-members-of-the-p/52374 breast cancerphldbin silico analysisbiomarkers |
| spellingShingle | Renan Gomes do Nascimento Jéssica de Moraes Danilo de Oliveira Cerqueira Sandro Jorge Januário An In Silico Analysis Identified Members of the Pleckstrin Homology-Like Domain, Family B (PHLDB family) as Potential Prognostic and Predictive Biomarkers of Treatment Response in Breast Cancer Patients European Journal of Breast Health breast cancer phldb in silico analysis biomarkers |
| title | An In Silico Analysis Identified Members of the Pleckstrin Homology-Like Domain, Family B (PHLDB family) as Potential Prognostic and Predictive Biomarkers of Treatment Response in Breast Cancer Patients |
| title_full | An In Silico Analysis Identified Members of the Pleckstrin Homology-Like Domain, Family B (PHLDB family) as Potential Prognostic and Predictive Biomarkers of Treatment Response in Breast Cancer Patients |
| title_fullStr | An In Silico Analysis Identified Members of the Pleckstrin Homology-Like Domain, Family B (PHLDB family) as Potential Prognostic and Predictive Biomarkers of Treatment Response in Breast Cancer Patients |
| title_full_unstemmed | An In Silico Analysis Identified Members of the Pleckstrin Homology-Like Domain, Family B (PHLDB family) as Potential Prognostic and Predictive Biomarkers of Treatment Response in Breast Cancer Patients |
| title_short | An In Silico Analysis Identified Members of the Pleckstrin Homology-Like Domain, Family B (PHLDB family) as Potential Prognostic and Predictive Biomarkers of Treatment Response in Breast Cancer Patients |
| title_sort | in silico analysis identified members of the pleckstrin homology like domain family b phldb family as potential prognostic and predictive biomarkers of treatment response in breast cancer patients |
| topic | breast cancer phldb in silico analysis biomarkers |
| url |
http://www.eurjbreasthealth.com/archives/archive-detail/article-preview/an-in-silico-i-analysis-dentified-members-of-the-p/52374
|
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