No description available.

With a longer-living population and an increase in cancer incidence the health care’s workload has increased over the past decade. The treatment process of a cancer patient is dependant on clinical information collected and communicated from the pathology department. With a standardised and structured pathology report the information communicated can become easier to interpret and will fa- cilitate the search for important parameters. This master thesis aims to develop a template prototype to replace four static free-text templates used in the area of breast cancer pathology at the pathology department at Region Östergötland. The end product was intends to store docu- mented information in a structured manner through structured data, in order to obtain semantic interoperability. Semantic interoperability means that different systems are able to communicate with each other in such a way that the information is handled and interpreted equally by the systems. By using certain standards such as openEHR archetypes and SNOMED CT concepts, the data becomes uniform and unambiguous. When that is achieved, information can be sent more easily between systems such as patient health data if an individual moves between different cities where the hos- pitals have different medical records systems. The result of the master thesis is a single template that incorporates all the parts from the four static templates currently used at Region Östergötland. To avoid a large and cumbersome template for the end-user the template is built with con- ditions that changed the appearance of the template while it is being filled in, making it dynamic.

Breast cancer is a very heterogeneous disease. This heterogeneity can be observed at many levels, including gene expression, chromosomal aberrations, and disease pathology. A clear understanding of these differences is important since they impact upon treatment efficacy and clinical outcome. Recent studies have demonstrated that the tumour microenvironment also plays a critical role in cancer initiation and progression. Genomic technologies have been used to gain a better understanding of the impact of gene expression heterogeneity on breast cancer, and have identified gene expression signatures associated with clinical outcome, histopathological breast cancer subtypes, and a variety of cancer-related pathways and processes. However, little work has been done in this context to examine the role of the tumour microenvironment in determining breast cancer outcome, or in defining breast cancer heterogeneity. Additionally, little is known about gene expression in histologically normal tissue adjacent to breast tumour, if this is influenced by the tumour, and how this compares with non-tumour-bearing breast tissue. By applying laser--capture microdissection and gene expression profiling to clinical breast cancer specimens the research presented in this thesis addresses these questions. / We have generated gene expression profiles of morphologically normal epithelial and stromal tissue, isolated using laser capture microdissection, from patients with breast cancer or undergoing breast reduction mammoplasty. We determined that morphologically normal epithelium and stroma exhibited distinct expression profiles, but molecular signatures that distinguished breast reduction tissue from tumour-adjacent normal tissue were absent. Stroma isolated from morphologically normal ducts adjacent to tumour tissue contained two distinct expression profiles that correlated with stromal cellularity, and shared similarities with soft tissue tumors with favourable outcome. Adjacent normal epithelium and stroma from breast cancer patients showed no significant association between expression profiles and standard clinical characteristics, but did cluster ER/PR/HER2-negative breast cancers with basal-like subtype expression profiles with poor prognosis. Our data reveal that morphologically normal tissue adjacent to breast carcinomas has not undergone significant gene expression changes when compared to breast reduction tissue, and provide an important gene expression data set for comparative studies of tumour expression profiles. / We compared gene expression profiles of tumour stroma from primary breast tumors and derived signatures strongly associated with clinical outcome. We present a new stroma-derived prognostic predictor (SDPP) that stratifies disease outcome independently of standard clinical prognostic factors and published expression-based predictors. The SDPP predicts outcome in several published whole tumour--derived expression data sets, identifies poor-outcome individuals from multiple clinical subtypes, including lymph node--negative tumors, and shows increased accuracy with respect to previously published predictors, especially for HER2-positive tumors. Prognostic power increases substantially when the predictor is combined with existing outcome predictors. Genes represented in the SDPP reveal the strong prognostic capacity of differential immune responses as well as angiogenic and hypoxic responses, highlighting the importance of stromal biology in tumour progression. / We show that gene expression in the breast tumour microenvironment is highly heterogeneous, identifying at least six different classes of tumour stroma with distinct expression patterns and distinct biological processes. Two of these classes recapitulate the processes identified in the stroma-derived prognostic predictor, while the others are new classes of stroma associated with distinct clinical outcomes. One of these is associated with matrix remodelling and is strongly associated with the basal molecular subtype of breast cancer. The remainder are independent of the previously published molecular subtypes of breast cancer. Additionally, based on independent data from over 800 tumors, the combinations of stroma classes and breast cancer subtypes identify new subgroups of breast tumors that show better discrimination between good and poor outcome individuals than the molecular breast cancer subtypes or the stroma classes alone, suggesting a novel classification scheme for breast cancer. This research demonstrates an important role for the tumour microenvironment in defining breast cancer heterogeneity, with a consequent impact upon clinical outcome. Novel therapies could be targeted at the processes that define the stroma classes suggesting new avenues for individualized treatment.

No description available.

Introdução: O câncer de mama é, em sua essência, uma doença genética. O acúmulo de alterações moleculares no genoma das células somáticas é a base para a progressão do câncer. Além de ter biologia natural mais favorável, os tumores com alta expressão de receptores de estrogênio têm terapia-alvo bem estabelecida. Apesar disso, as pacientes podem apresentar resistência medicamentosa, recidiva e óbito. Os microRNAs (miRNAs) são uma classe de pequenas moléculas não codificadoras de proteínas que regulam a expressão gênica durante a etapa de tradução. Esta regulação é feita pelo pareamento de bases com o mRNA-alvo (RNA mensageiro), resultando na supressão da tradução ou na clivagem do mRNA. Se os miRNAs têm como alvo genes supressores de tumor ou oncogenes, podem atuar como supressores tumorais ou oncogenes. OBJETIVO: avaliar a expressão de microRNAs, por PCR em tempo real, no carcinoma mamário ductal invasivo (CDI) com receptores hormonais positivos e HER-2 negativo (luminal A). MÉTODOS: Foram avaliados materiais em parafina de 33 pacientes com tumores luminal A, bem como tecido mamário histologicamente normal. Foram utilizados kit para extração de RNA de amostras fixadas e parafinadas - miRNeasy FFPE; kit para síntese de cDNA - miScript II RT; kit miScript SYBR Green PCR e miScript miRNA PCR Arrays para análise de 84 sequências de miRNA de câncer humano. Analisaram-se dados clínicos, como idade, paridade, amamentação, estado menopausal; variáveis histológicas, como tamanho do tumor, estado linfonodal, invasão linfática; características imunoistoquímicas, como expressão de Ki-67. Para a análise estatística utilizou-se o software miScript miRNA PCR Array Data Analysis, que emprega o método de quantificação relativa ??Ct. RESULTADOS: A análise comparativa dos 33 casos de CDI luminal A com os 15 casos de parênquima mamário normal revelou haver microRNAs hiperexpressos, sendo eles: miR-96-5p (fold-regulation = 9,245, p = 0,000192), miR-182-5p (fold-regulation = 6,4813, p = 0,00024), miR-21-5p (fold-regulation = 6,3129, p = 0,000001), miR- 210-3p (fold-regulation =4,3584, p =0,001002) e. miR-7-5p (fold-regulation = 4,0166, p = 0,036407). Apontou, ainda, microRNAs com hipoexpressão, a saber: miR-204-5p (Fold-regulation = -8,2104, p = 0,000000), miR-125b-5p (Fold-regulation = --6,332, p=0,000000), let-7c-5p (Fold-regulation: -4,5142, p=0,000000) e let-7e-5p (Fold-regulation = -4,059, p = 0,011625): CONCLUSÕES: CDI luminal A apresentou hiperexpressão de miR-96-5p, miR-182-5p, miR-21-5p, miR-210-3p e miR-7-5p. Apontou, ainda, hipoexpressão do miR-204-5p, miR-125b-5p, let-7c-5p e let-7e-5p, permitindo diferenciá-lo do tecido normal / INTRODUCTION: Breast cancer is a genetic disease and the accumulation of molecular alterations in the genome of somatic cells is the basis for cancer progression. Besides having a more favorable natural biology, tumors with high expression of estrogen receptor have a well established targeted therapy. Nevertheless, patients may present with resistance and eventually relapse and death. MicroRNAs (miRNAs) are a class of small non-coding protein molecules that regulate gene expression during the translation stage. This adjustment is made by base pairing with the mRNA (messenger RNA) target resulting in suppression of translation or cleavage of the mRNA. Depending on whether miRNAs target tumor suppressor genes or oncogenes, they can act as tumor suppressors or oncogenes. OBJECTIVE: evaluate the expression of microRNAs by RT-PCR in positive hormonal receptors, negative HER 2 (luminal A) invasive ductal carcinoma (IDC). METHODS: Paraffin embedded tumor material from 33 patients with luminal A IDC, and histologically normal breast tissue. Were used: Kit for RNA extraction from fixed and paraffin embedded samples - miRNeasy FFPE; cDNA synthesis kit - miScript II RT; miScript SYBR Green PCR Kit and miScript miRNA PCR Arrays for analysis of 84 miRNA sequences of human cancer. Clinical data such as age, parity, breastfeeding, menopausal status; histological variables such as tumor size, lymph node status, lymphatic invasion; immunohistochemical characteristics, such as expression of Ki-67, were evaluated. For statistical analysis the miScript miRNA PCR Array Data Analysis software, which uses the method of relative quantification ??Ct, was used. RESULTS: A comparative analysis of 33 cases of luminal A IDC with 15 cases of normal breast parenchyma defined microRNAs overexpressed, as follows: miR-96-5p (fold-regulation = 9,245, p = 0,000192), miR-182-5p (fold-regulation = 6,4813, p = 0,00024), miR-21-5p (fold-regulation = 6,3129, p = 0,000001), miR- 210-3p (fold-regulation =4,3584, p =0,001002) and miR-7-5p (fold-regulation = 4,0166, p = 0,036407). Furthermore, microRNAs with reduced expression, as follows:. miR-204-5p (Fold-regulation = -8,2104, p = 0,000000), miR-125b-5p (Fold-regulation = -6,332, p=0,000000), let-7c-5p (Fold-regulation: -4,5142, p=0,000000) and let-7e-5p (Fold-regulation = -4,059, p = 0,011625): CONCLUSION: Luminal A CDI breast cancer has shown overexpression of miR-96-5p, miR-182-5p, miR-21-5p, miR-210-3p and miR-7-5p. Also has shown,downregulation of miR-204-5p, miR-125b-5p, let-7c-5p e let-7e-5p, allowing differentiating it from normal tissue

Introdução: O câncer de mama é, em sua essência, uma doença genética. O acúmulo de alterações moleculares no genoma das células somáticas é a base para a progressão do câncer. Além de ter biologia natural mais favorável, os tumores com alta expressão de receptores de estrogênio têm terapia-alvo bem estabelecida. Apesar disso, as pacientes podem apresentar resistência medicamentosa, recidiva e óbito. Os microRNAs (miRNAs) são uma classe de pequenas moléculas não codificadoras de proteínas que regulam a expressão gênica durante a etapa de tradução. Esta regulação é feita pelo pareamento de bases com o mRNA-alvo (RNA mensageiro), resultando na supressão da tradução ou na clivagem do mRNA. Se os miRNAs têm como alvo genes supressores de tumor ou oncogenes, podem atuar como supressores tumorais ou oncogenes. OBJETIVO: avaliar a expressão de microRNAs, por PCR em tempo real, no carcinoma mamário ductal invasivo (CDI) com receptores hormonais positivos e HER-2 negativo (luminal A). MÉTODOS: Foram avaliados materiais em parafina de 33 pacientes com tumores luminal A, bem como tecido mamário histologicamente normal. Foram utilizados kit para extração de RNA de amostras fixadas e parafinadas - miRNeasy FFPE; kit para síntese de cDNA - miScript II RT; kit miScript SYBR Green PCR e miScript miRNA PCR Arrays para análise de 84 sequências de miRNA de câncer humano. Analisaram-se dados clínicos, como idade, paridade, amamentação, estado menopausal; variáveis histológicas, como tamanho do tumor, estado linfonodal, invasão linfática; características imunoistoquímicas, como expressão de Ki-67. Para a análise estatística utilizou-se o software miScript miRNA PCR Array Data Analysis, que emprega o método de quantificação relativa ??Ct. RESULTADOS: A análise comparativa dos 33 casos de CDI luminal A com os 15 casos de parênquima mamário normal revelou haver microRNAs hiperexpressos, sendo eles: miR-96-5p (fold-regulation = 9,245, p = 0,000192), miR-182-5p (fold-regulation = 6,4813, p = 0,00024), miR-21-5p (fold-regulation = 6,3129, p = 0,000001), miR- 210-3p (fold-regulation =4,3584, p =0,001002) e. miR-7-5p (fold-regulation = 4,0166, p = 0,036407). Apontou, ainda, microRNAs com hipoexpressão, a saber: miR-204-5p (Fold-regulation = -8,2104, p = 0,000000), miR-125b-5p (Fold-regulation = --6,332, p=0,000000), let-7c-5p (Fold-regulation: -4,5142, p=0,000000) e let-7e-5p (Fold-regulation = -4,059, p = 0,011625): CONCLUSÕES: CDI luminal A apresentou hiperexpressão de miR-96-5p, miR-182-5p, miR-21-5p, miR-210-3p e miR-7-5p. Apontou, ainda, hipoexpressão do miR-204-5p, miR-125b-5p, let-7c-5p e let-7e-5p, permitindo diferenciá-lo do tecido normal / INTRODUCTION: Breast cancer is a genetic disease and the accumulation of molecular alterations in the genome of somatic cells is the basis for cancer progression. Besides having a more favorable natural biology, tumors with high expression of estrogen receptor have a well established targeted therapy. Nevertheless, patients may present with resistance and eventually relapse and death. MicroRNAs (miRNAs) are a class of small non-coding protein molecules that regulate gene expression during the translation stage. This adjustment is made by base pairing with the mRNA (messenger RNA) target resulting in suppression of translation or cleavage of the mRNA. Depending on whether miRNAs target tumor suppressor genes or oncogenes, they can act as tumor suppressors or oncogenes. OBJECTIVE: evaluate the expression of microRNAs by RT-PCR in positive hormonal receptors, negative HER 2 (luminal A) invasive ductal carcinoma (IDC). METHODS: Paraffin embedded tumor material from 33 patients with luminal A IDC, and histologically normal breast tissue. Were used: Kit for RNA extraction from fixed and paraffin embedded samples - miRNeasy FFPE; cDNA synthesis kit - miScript II RT; miScript SYBR Green PCR Kit and miScript miRNA PCR Arrays for analysis of 84 miRNA sequences of human cancer. Clinical data such as age, parity, breastfeeding, menopausal status; histological variables such as tumor size, lymph node status, lymphatic invasion; immunohistochemical characteristics, such as expression of Ki-67, were evaluated. For statistical analysis the miScript miRNA PCR Array Data Analysis software, which uses the method of relative quantification ??Ct, was used. RESULTS: A comparative analysis of 33 cases of luminal A IDC with 15 cases of normal breast parenchyma defined microRNAs overexpressed, as follows: miR-96-5p (fold-regulation = 9,245, p = 0,000192), miR-182-5p (fold-regulation = 6,4813, p = 0,00024), miR-21-5p (fold-regulation = 6,3129, p = 0,000001), miR- 210-3p (fold-regulation =4,3584, p =0,001002) and miR-7-5p (fold-regulation = 4,0166, p = 0,036407). Furthermore, microRNAs with reduced expression, as follows:. miR-204-5p (Fold-regulation = -8,2104, p = 0,000000), miR-125b-5p (Fold-regulation = -6,332, p=0,000000), let-7c-5p (Fold-regulation: -4,5142, p=0,000000) and let-7e-5p (Fold-regulation = -4,059, p = 0,011625): CONCLUSION: Luminal A CDI breast cancer has shown overexpression of miR-96-5p, miR-182-5p, miR-21-5p, miR-210-3p and miR-7-5p. Also has shown,downregulation of miR-204-5p, miR-125b-5p, let-7c-5p e let-7e-5p, allowing differentiating it from normal tissue

INTRODUÇÃO: Os microRNAs (miRNAs) são uma classe de pequenas moléculas não codificadoras de proteínas que regulam a expressão gênica durante a etapa de tradução. Esta regulação é feita pelo pareamento de bases com o mRNA-alvo (RNA mensageiro), resultando na supressão da tradução ou na clivagem do mRNA. A depender se os miRNAs têm como alvo genes supressores de tumor ou oncogenes, eles podem atuar como supressores tumorais ou oncogenes. A imunoistoquímica triplo negativa, no câncer de mama, é, comumente, utilizada como substituto clínico para identificação dos tumores basaloides, que se caracterizam pela expressão de genes epiteliais basais, sendo associados a menores taxas de sobrevida livre de doença e sobrevida global. O câncer de mama triplo negativo faz com que seja necessária a descoberta de marcadores moleculares que possam servir de alvos terapêuticos ou, pelo menos, que sirvam como marcadores preditivos da resposta aos quimioterápicos. OBJETIVO: avaliar a expressão de microRNAs, por PCR em tempo real, no carcinoma mamário ductal invasivo (CDI) triplo negativo. MÉTODOS: Foram avaliados materiais em parafina de tumor de 31 pacientes com as seguintes características: carcinoma invasivo de mama, receptores de estrogênio e de progesterona negativos e HER 2 negativo, bem como tecido mamário histologicamente normal. Foram utilizados kit para extração de RNA de amostras fixadas e parafinadas - miRNeasy FFPE; kit para síntese de cDNA - miScript II RT; kit miScript SYBR Green PCR e miScript miRNA PCR Arrays para análise de 84 sequências de miRNA de câncer humano. Foram avaliados dados clínicos, como idade, paridade, amamentação, status menopausal; variáveis histológicas, como tamanho do tumor, status linfonodal, invasão linfática; características imunoistoquímicas, como expressão de Ki-67, EFGR e CK 5/6. O seguimento das pacientes buscou verificar a ocorrência e o tempo de aparecimento de recidiva loco regional, metástase à distância e óbito. Para análise estatística foi utilizado o software miScript miRNA PCR Array Data Analysis, que utiliza o método de quantificação relativa DeltaCt. RESULTADOS: A análise comparativa dos 31 casos de CDI triplo negativo com os 18 casos de parênquima mamário normal definiu microRNAs hiperexpressos, sendo eles: miR-96-5p (fold-regulation(FR) = 9,68, p = 0,000008), miR-21-5p (FR = 4,47, p = 0,00), miR-7-5p (FR = 5,8, p = 0,00137) , miR-182-5p (FR= 7,92, p = 0,000001), miR-210-3p (FR = 11,83, p = 0,000048), miR-18a-5p (FR = 9,51, p = 0,000034), miR-155-5p (FR= 4,40 , p = 0,00019) e miR-93-5p (FR= 4,15, p = 0,000023). Aponta, ainda, microRNAs com hipoexpressão, a saber: miR-204-5p (FR = -10,26, p = 0), miR-205-5p (FR= -4,07, p = 0,019822), miR-125b-5p (FR= -4,29, p=0) e let 7c-5p (FR= -4,91, p=0). CONCLUSÃO: a expressão de microRNAs no carcinoma ductal invasivo triplo negativo permite diferenciá-lo do tecido normal / INTRODUCTION: MicroRNAs (miRNAs) are a class of small non-coding protein molecules that regulate gene expression during the translation stage. This adjustment is made by base pairing with the mRNA (messenger RNA) target resulting in suppression of translation or cleavage of the mRNA. Depending on whether miRNAs target tumor suppressor genes or oncogenes, they can act as tumor suppressors or oncogenes. The triple negative immunohistochemistry in breast cancer is commonly used as a substitute for clinical identification of basaloid tumors, which are characterized by the expression of basal epithelial genes and are associated with lower rates of disease-free survival and overall survival. The triple negative breast cancer makes necessary the discovery of molecular markers that may serve as therapeutic targets or at least as predictive markers of response to chemotherapy. OBJECTIVE: evaluate the expression of microRNAs by RT-PCR in triple negative breast invasive ductal carcinoma (IDC). METHODS: Paraffin embedded tumor material from 31 patients with the following characteristics were evaluated: invasive breast carcinoma, negative estrogen and progesterone receptor, negative HER 2, and histologically normal breast tissue. Were used: Kit for RNA extraction from fixed and paraffin embedded samples - miRNeasy FFPE; cDNA synthesis kit - miScript II RT; miScript SYBR Green PCR Kit and miScript miRNA PCR Arrays for analysis of 84 miRNA sequences of human cancer. Clinical data such as age, parity, breastfeeding, menopausal status; histological variables such as tumor size, lymph node status, lymphatic invasion; immunohistochemical characteristics, such as expression of Ki-67, EFGR and CK 5/6 were evaluated. The follow-up of patients aimed to verify the occurrence and time of appearance of loco regional recurrence, distant metastasis and death. For statistical analysis the miScript miRNA PCR Array Data Analysis software, which uses the method of relative quantification DeltaCt, was used. RESULTS: A comparative analysis of 31 cases of triple negative IDC with 18 cases of normal breast parenchyma defined microRNAs overexpressed, as follows: miR-96-5p (fold-regulation (FR) = 9.68, p = 0.000008), miR -21-5p (FR = 4.47, p = 0.00), 5p, miR-7 (FR = 5.8, p = 0.00137), miR-182-5p (FR = 7.92, p = 0.000001), miR-210-3p (FR = 11.83, p = 0.000048), miR-18a-5p (FR = 9.51, p = 0.000034), miR-155-5p (FR = 4.40, p = 0.00019) and miR-93-5p (FR = 4.15, p = 0.000023). Furthermore, microRNAs with reduced expression, as follows: miR-204-5p (FR = -10.26, p = 0), miR-205-5p (FR = -4.07, p = 0.019822), miR -125b-5p (FR = -4.29, p = 0) and Let-7c 5p (FR = -4.91, p = 0). CONCLUSION: the expression of microRNAs in triple negative invasive ductal carcinoma allows to differentiate it from normal tissue

INTRODUÇÃO: Os microRNAs (miRNAs) são uma classe de pequenas moléculas não codificadoras de proteínas que regulam a expressão gênica durante a etapa de tradução. Esta regulação é feita pelo pareamento de bases com o mRNA-alvo (RNA mensageiro), resultando na supressão da tradução ou na clivagem do mRNA. A depender se os miRNAs têm como alvo genes supressores de tumor ou oncogenes, eles podem atuar como supressores tumorais ou oncogenes. A imunoistoquímica triplo negativa, no câncer de mama, é, comumente, utilizada como substituto clínico para identificação dos tumores basaloides, que se caracterizam pela expressão de genes epiteliais basais, sendo associados a menores taxas de sobrevida livre de doença e sobrevida global. O câncer de mama triplo negativo faz com que seja necessária a descoberta de marcadores moleculares que possam servir de alvos terapêuticos ou, pelo menos, que sirvam como marcadores preditivos da resposta aos quimioterápicos. OBJETIVO: avaliar a expressão de microRNAs, por PCR em tempo real, no carcinoma mamário ductal invasivo (CDI) triplo negativo. MÉTODOS: Foram avaliados materiais em parafina de tumor de 31 pacientes com as seguintes características: carcinoma invasivo de mama, receptores de estrogênio e de progesterona negativos e HER 2 negativo, bem como tecido mamário histologicamente normal. Foram utilizados kit para extração de RNA de amostras fixadas e parafinadas - miRNeasy FFPE; kit para síntese de cDNA - miScript II RT; kit miScript SYBR Green PCR e miScript miRNA PCR Arrays para análise de 84 sequências de miRNA de câncer humano. Foram avaliados dados clínicos, como idade, paridade, amamentação, status menopausal; variáveis histológicas, como tamanho do tumor, status linfonodal, invasão linfática; características imunoistoquímicas, como expressão de Ki-67, EFGR e CK 5/6. O seguimento das pacientes buscou verificar a ocorrência e o tempo de aparecimento de recidiva loco regional, metástase à distância e óbito. Para análise estatística foi utilizado o software miScript miRNA PCR Array Data Analysis, que utiliza o método de quantificação relativa DeltaCt. RESULTADOS: A análise comparativa dos 31 casos de CDI triplo negativo com os 18 casos de parênquima mamário normal definiu microRNAs hiperexpressos, sendo eles: miR-96-5p (fold-regulation(FR) = 9,68, p = 0,000008), miR-21-5p (FR = 4,47, p = 0,00), miR-7-5p (FR = 5,8, p = 0,00137) , miR-182-5p (FR= 7,92, p = 0,000001), miR-210-3p (FR = 11,83, p = 0,000048), miR-18a-5p (FR = 9,51, p = 0,000034), miR-155-5p (FR= 4,40 , p = 0,00019) e miR-93-5p (FR= 4,15, p = 0,000023). Aponta, ainda, microRNAs com hipoexpressão, a saber: miR-204-5p (FR = -10,26, p = 0), miR-205-5p (FR= -4,07, p = 0,019822), miR-125b-5p (FR= -4,29, p=0) e let 7c-5p (FR= -4,91, p=0). CONCLUSÃO: a expressão de microRNAs no carcinoma ductal invasivo triplo negativo permite diferenciá-lo do tecido normal / INTRODUCTION: MicroRNAs (miRNAs) are a class of small non-coding protein molecules that regulate gene expression during the translation stage. This adjustment is made by base pairing with the mRNA (messenger RNA) target resulting in suppression of translation or cleavage of the mRNA. Depending on whether miRNAs target tumor suppressor genes or oncogenes, they can act as tumor suppressors or oncogenes. The triple negative immunohistochemistry in breast cancer is commonly used as a substitute for clinical identification of basaloid tumors, which are characterized by the expression of basal epithelial genes and are associated with lower rates of disease-free survival and overall survival. The triple negative breast cancer makes necessary the discovery of molecular markers that may serve as therapeutic targets or at least as predictive markers of response to chemotherapy. OBJECTIVE: evaluate the expression of microRNAs by RT-PCR in triple negative breast invasive ductal carcinoma (IDC). METHODS: Paraffin embedded tumor material from 31 patients with the following characteristics were evaluated: invasive breast carcinoma, negative estrogen and progesterone receptor, negative HER 2, and histologically normal breast tissue. Were used: Kit for RNA extraction from fixed and paraffin embedded samples - miRNeasy FFPE; cDNA synthesis kit - miScript II RT; miScript SYBR Green PCR Kit and miScript miRNA PCR Arrays for analysis of 84 miRNA sequences of human cancer. Clinical data such as age, parity, breastfeeding, menopausal status; histological variables such as tumor size, lymph node status, lymphatic invasion; immunohistochemical characteristics, such as expression of Ki-67, EFGR and CK 5/6 were evaluated. The follow-up of patients aimed to verify the occurrence and time of appearance of loco regional recurrence, distant metastasis and death. For statistical analysis the miScript miRNA PCR Array Data Analysis software, which uses the method of relative quantification DeltaCt, was used. RESULTS: A comparative analysis of 31 cases of triple negative IDC with 18 cases of normal breast parenchyma defined microRNAs overexpressed, as follows: miR-96-5p (fold-regulation (FR) = 9.68, p = 0.000008), miR -21-5p (FR = 4.47, p = 0.00), 5p, miR-7 (FR = 5.8, p = 0.00137), miR-182-5p (FR = 7.92, p = 0.000001), miR-210-3p (FR = 11.83, p = 0.000048), miR-18a-5p (FR = 9.51, p = 0.000034), miR-155-5p (FR = 4.40, p = 0.00019) and miR-93-5p (FR = 4.15, p = 0.000023). Furthermore, microRNAs with reduced expression, as follows: miR-204-5p (FR = -10.26, p = 0), miR-205-5p (FR = -4.07, p = 0.019822), miR -125b-5p (FR = -4.29, p = 0) and Let-7c 5p (FR = -4.91, p = 0). CONCLUSION: the expression of microRNAs in triple negative invasive ductal carcinoma allows to differentiate it from normal tissue