Gene Signatures Induced by Ionizing Radiation as Prognostic Tools in an In Vitro Experimental Breast Cancer Model
This study aimed to analyze the expression of genes involved in radiation, using an Affymetrix system with an in vitro experimental breast cancer model developed by the combined treatment of low doses of high linear energy transfer (LET) radiation α particle radiation and estrogen yielding different...
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MDPI AG
2021-09-01
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Series: | Cancers |
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author | Gloria M. Calaf Leodan A. Crispin Debasish Roy Francisco Aguayo Juan P. Muñoz Tammy C. Bleak |
author_facet | Gloria M. Calaf Leodan A. Crispin Debasish Roy Francisco Aguayo Juan P. Muñoz Tammy C. Bleak |
author_sort | Gloria M. Calaf |
collection | DOAJ |
description | This study aimed to analyze the expression of genes involved in radiation, using an Affymetrix system with an in vitro experimental breast cancer model developed by the combined treatment of low doses of high linear energy transfer (LET) radiation α particle radiation and estrogen yielding different stages in a malignantly transformed breast cancer cell model called Alpha model. Altered expression of different molecules was detected in the non-tumorigenic Alpha3, a malignant cell line transformed only by radiation and originally derived from the parental MCF-10F human cell line; that was compared with the Alpha 5 cell line, another cell line exposed to radiation and subsequently grown in the presence 17β-estradiol. This Alpha5, a tumorigenic cell line, originated the Tumor2 cell line. It can be summarized that the Alpha 3 cell line was characterized by greater gene expression of <i>ATM</i> and <i>IL7R</i> than control, Alpha5, and Tumor2 cell lines, it presented higher <i>selenoprotein</i> gene expression than control and Tumor2; <i>epsin 3</i> gene expression was higher than control; <i>stefin A</i> gene expression was higher than Alpha5; and <i>metallothionein</i> was higher than control and Tumor2 cell line. Therefore, radiation, independently of estrogen, induced increased <i>ATM</i>, <i>IL7R</i>, <i>selenoprotein</i>, <i>GABA</i> receptor, <i>epsin</i>, <i>stefin</i>, and <i>metallothioneins</i> gene expression in comparison with the control. Results showed important findings of genes involved in cancers of the breast, lung, nervous system, and others. Most genes analyzed in these studies can be used for new prognostic tools and future therapies since they affect cancer progression and metastasis. Most of all, it was revealed that in the Alpha model, a breast cancer model developed by the authors, the cell line transformed only by radiation, independently of estrogen, was characterized by greater gene expression than other cell lines. Understanding the effect of radiotherapy in different cells will help us improve the clinical outcome of radiotherapies. Thus, gene signature has been demonstrated to be specific to tumor types, hence cell-dependency must be considered in future treatment planning. Molecular and clinical features affect the results of radiotherapy. Thus, using gene technology and molecular information is possible to improve therapies and reduction of side effects while providing new insights into breast cancer-related fields. |
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spelling | doaj.art-ad5c3fb48cdf4daab39e59448a1425ff2023-11-22T12:17:15ZengMDPI AGCancers2072-66942021-09-011318457110.3390/cancers13184571Gene Signatures Induced by Ionizing Radiation as Prognostic Tools in an In Vitro Experimental Breast Cancer ModelGloria M. Calaf0Leodan A. Crispin1Debasish Roy2Francisco Aguayo3Juan P. Muñoz4Tammy C. Bleak5Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, ChileInstituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, ChileDepartment of Natural Sciences, Hostos College of the City University of New York, Bronx, NY 10451, USALaboratorio Oncovirología, Programa de Virología, Facultad de Medicina, Instituto de Ciencias Biomédicas, Universidad de Chile, Santiago 8380000, ChileInstituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, ChileInstituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, ChileThis study aimed to analyze the expression of genes involved in radiation, using an Affymetrix system with an in vitro experimental breast cancer model developed by the combined treatment of low doses of high linear energy transfer (LET) radiation α particle radiation and estrogen yielding different stages in a malignantly transformed breast cancer cell model called Alpha model. Altered expression of different molecules was detected in the non-tumorigenic Alpha3, a malignant cell line transformed only by radiation and originally derived from the parental MCF-10F human cell line; that was compared with the Alpha 5 cell line, another cell line exposed to radiation and subsequently grown in the presence 17β-estradiol. This Alpha5, a tumorigenic cell line, originated the Tumor2 cell line. It can be summarized that the Alpha 3 cell line was characterized by greater gene expression of <i>ATM</i> and <i>IL7R</i> than control, Alpha5, and Tumor2 cell lines, it presented higher <i>selenoprotein</i> gene expression than control and Tumor2; <i>epsin 3</i> gene expression was higher than control; <i>stefin A</i> gene expression was higher than Alpha5; and <i>metallothionein</i> was higher than control and Tumor2 cell line. Therefore, radiation, independently of estrogen, induced increased <i>ATM</i>, <i>IL7R</i>, <i>selenoprotein</i>, <i>GABA</i> receptor, <i>epsin</i>, <i>stefin</i>, and <i>metallothioneins</i> gene expression in comparison with the control. Results showed important findings of genes involved in cancers of the breast, lung, nervous system, and others. Most genes analyzed in these studies can be used for new prognostic tools and future therapies since they affect cancer progression and metastasis. Most of all, it was revealed that in the Alpha model, a breast cancer model developed by the authors, the cell line transformed only by radiation, independently of estrogen, was characterized by greater gene expression than other cell lines. Understanding the effect of radiotherapy in different cells will help us improve the clinical outcome of radiotherapies. Thus, gene signature has been demonstrated to be specific to tumor types, hence cell-dependency must be considered in future treatment planning. Molecular and clinical features affect the results of radiotherapy. Thus, using gene technology and molecular information is possible to improve therapies and reduction of side effects while providing new insights into breast cancer-related fields.https://www.mdpi.com/2072-6694/13/18/4571breast cancer modelradiationgene expressionestrogens |
spellingShingle | Gloria M. Calaf Leodan A. Crispin Debasish Roy Francisco Aguayo Juan P. Muñoz Tammy C. Bleak Gene Signatures Induced by Ionizing Radiation as Prognostic Tools in an In Vitro Experimental Breast Cancer Model Cancers breast cancer model radiation gene expression estrogens |
title | Gene Signatures Induced by Ionizing Radiation as Prognostic Tools in an In Vitro Experimental Breast Cancer Model |
title_full | Gene Signatures Induced by Ionizing Radiation as Prognostic Tools in an In Vitro Experimental Breast Cancer Model |
title_fullStr | Gene Signatures Induced by Ionizing Radiation as Prognostic Tools in an In Vitro Experimental Breast Cancer Model |
title_full_unstemmed | Gene Signatures Induced by Ionizing Radiation as Prognostic Tools in an In Vitro Experimental Breast Cancer Model |
title_short | Gene Signatures Induced by Ionizing Radiation as Prognostic Tools in an In Vitro Experimental Breast Cancer Model |
title_sort | gene signatures induced by ionizing radiation as prognostic tools in an in vitro experimental breast cancer model |
topic | breast cancer model radiation gene expression estrogens |
url | https://www.mdpi.com/2072-6694/13/18/4571 |
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