Characterization of genomic profiling of Mexican women with breast cancer using EndoPredict
Purpose: In the context of rising breast cancer incidence and mortality rates in Mexico, our study delves into the genomic landscape of Mexican women diagnosed with stage I-III breast cancer. Methods: Employing the EndoPredict test for genomic analysis, our retrospective, cross-sectional study explo...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Cancer Treatment and Research Communications |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468294224000637 |
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| author | Diana Carolina Correa Sandoval Jose Luis Guzman Murguia Diego Alberto Guajardo Nieto |
| author_facet | Diana Carolina Correa Sandoval Jose Luis Guzman Murguia Diego Alberto Guajardo Nieto |
| author_sort | Diana Carolina Correa Sandoval |
| collection | DOAJ |
| description | Purpose: In the context of rising breast cancer incidence and mortality rates in Mexico, our study delves into the genomic landscape of Mexican women diagnosed with stage I-III breast cancer. Methods: Employing the EndoPredict test for genomic analysis, our retrospective, cross-sectional study explores correlations between genomic expression and immunohistochemistry (IHC). Results: Among 50 female patients, risk stratification by IHC revealed 50 % as high risk and 50 % as low risk, with notable clinical and histological distinctions between the two groups. High-risk samples exhibited larger tumors, higher histological grades, and more positive lymph nodes. Immunohistochemistry results displayed a moderate concordance (kappa Cohen´s 0.48) with the EndoPredict test, emphasizing its clinical reliability over IHC. Conclusions: The study advocates for the integration of genomic tools, particularly the EndoPredict test, in the management of breast cancer in Mexican women for enhanced precision in treatment decisions. Our findings contribute valuable insights to the evolving landscape of breast cancer diagnosis and management in the Mexican population. |
| format | Article |
| id | doaj-art-d0294a0ca44447219942b919d856b6f5 |
| institution | Kabale University |
| issn | 2468-2942 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cancer Treatment and Research Communications |
| spelling | doaj-art-d0294a0ca44447219942b919d856b6f52025-02-09T05:00:45ZengElsevierCancer Treatment and Research Communications2468-29422024-01-0142100851Characterization of genomic profiling of Mexican women with breast cancer using EndoPredictDiana Carolina Correa Sandoval0Jose Luis Guzman Murguia1Diego Alberto Guajardo Nieto2Universidad de Monterrey. San-Pedro-Garza-García, Nuevo Leon, . 66238, MexicoCentro para el Cuidado de la Mama, Hospital Ángeles Valle Oriente. San-Pedro-Garza-García, Nuevo Leon, . 66260, MexicoCentro para el Cuidado de la Mama, Hospital Ángeles Valle Oriente. San-Pedro-Garza-García, Nuevo Leon, . 66260, Mexico; Corresponding author at: Av. Cto. Frida Kahlo 180, Valle Oriente, 66269 San-Pedro-Garza-García, NL, México.Purpose: In the context of rising breast cancer incidence and mortality rates in Mexico, our study delves into the genomic landscape of Mexican women diagnosed with stage I-III breast cancer. Methods: Employing the EndoPredict test for genomic analysis, our retrospective, cross-sectional study explores correlations between genomic expression and immunohistochemistry (IHC). Results: Among 50 female patients, risk stratification by IHC revealed 50 % as high risk and 50 % as low risk, with notable clinical and histological distinctions between the two groups. High-risk samples exhibited larger tumors, higher histological grades, and more positive lymph nodes. Immunohistochemistry results displayed a moderate concordance (kappa Cohen´s 0.48) with the EndoPredict test, emphasizing its clinical reliability over IHC. Conclusions: The study advocates for the integration of genomic tools, particularly the EndoPredict test, in the management of breast cancer in Mexican women for enhanced precision in treatment decisions. Our findings contribute valuable insights to the evolving landscape of breast cancer diagnosis and management in the Mexican population.http://www.sciencedirect.com/science/article/pii/S2468294224000637GenomicsBreast neoplasmMexicoWomenEndopredict |
| spellingShingle | Diana Carolina Correa Sandoval Jose Luis Guzman Murguia Diego Alberto Guajardo Nieto Characterization of genomic profiling of Mexican women with breast cancer using EndoPredict Cancer Treatment and Research Communications Genomics Breast neoplasm Mexico Women Endopredict |
| title | Characterization of genomic profiling of Mexican women with breast cancer using EndoPredict |
| title_full | Characterization of genomic profiling of Mexican women with breast cancer using EndoPredict |
| title_fullStr | Characterization of genomic profiling of Mexican women with breast cancer using EndoPredict |
| title_full_unstemmed | Characterization of genomic profiling of Mexican women with breast cancer using EndoPredict |
| title_short | Characterization of genomic profiling of Mexican women with breast cancer using EndoPredict |
| title_sort | characterization of genomic profiling of mexican women with breast cancer using endopredict |
| topic | Genomics Breast neoplasm Mexico Women Endopredict |
| url | http://www.sciencedirect.com/science/article/pii/S2468294224000637 |
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