scholarly journals Molecular Classification of Breast Cancer in the Region of Constantine: An Epidemiological Study

2020 ◽  
pp. 1-3
Author(s):  
Sara Khelf ◽  
◽  
Leila Guedjali ◽  
Souad Haddad ◽  
Dalila Satta ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Hormone Receptors ◽  
Molecular Classification ◽  
Her2 Status ◽  
Luminal A ◽  
Luminal B ◽  
Phenotypic Profile ◽  
Luminal Type ◽  
Group A

Breast cancer (CS) is the most common female cancer worldwide, ranking first in Algeria for its frequency and mortality .Molecular classification has distinguished at least four molecular types: luminal A, luminal B, HER2 and basal-like. Our objective is to study the phenotypic profile of breast cancer in women with cancer as well as the different clinical, immunohistochemical and therapeutic aspects of different molecular groups.We undertook a retrospective study between October 2016 and December 2017. This study involved 121 files. The distribution of the population according to age showed that the most affected age group is [53-63] years old with 35%. Molecular classification results showed that the most common type was luminal A at 37.19%, followed by luminal type B at 27.27%, basal-like at 19.83%, and HER2 at 15.70%. Breast cancer of luminal type, expressing[ ER], accounts for 70 to 80% of all mammary carcinomas and that the luminal group A is the most common with proportions of 58 , 5% and 54.3% respectively while the distinction is observed in the other groups. Molecular classification plays a very important role in the treatment. This result shows that luminal type A is the most common, and that postmenopausal women are most likely to have breast cancer. This classification is very important in the orientation of the treatment. The resulting molecular classification is expected to better classify tumors to a personalized therapy. Breast cancer, molecular classification, immunohistochemistry, hormone receptors, HER2 status

Molecular classification of breast cancer. Treatment and prognosis implications.

2021 ◽  
Vol 32 (2) ◽  
pp. 155-159
Author(s):  
M Alcaide Lucena ◽  
CJ Rodríguez González ◽  
S de Reyes Lartategui ◽  
R Gallart Aragón ◽  
MT Sánchez Barrón ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Treatment ◽  
Molecular Classification ◽  
Breast Cancer Treatment ◽  
Cáncer De Mama ◽  
Luminal A ◽  
Luminal B ◽  
Her 2

Resumen Los avances recientes en el campo de la biología molecular y la secuenciación del genoma se han traducido en una nueva clasificación del cáncer de mama, que busca mayor precisión y se correlaciona mejor con el riesgo de recaída de la enfermedad y la respuesta al tratamiento. Establece cuatro subtipos de cáncer de mama: luminal A, luminal B, HER 2 positivo y triple negativo, siendo el subtipo luminal A el de mejor pronóstico, y el triple negativo, el de peor pronóstico. Si combinamos la clasificación clásica histológica con la nueva molecular, nos permite encuadrar a estas pacientes de una forma más precisa en función del riesgo, definiendo así un manejo terapéutico adaptado.

AGE FEATURES OF MOLECULAR-BIOLOGICAL SUBTYPES OF BREAST CANCER

2020 ◽  
Vol 17 (2) ◽  
pp. 187-192
Author(s):  
E.A. Novikova ◽  
◽  
O.V. Kostromina ◽  
D.V. Mikhailov ◽  
S.L. Leontiev ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Hormone Receptors ◽  
Age Groups ◽  
Luminal A ◽  
Ki 67 ◽  
Luminal B ◽  
Age Related ◽  
Age Features ◽  
Immunohistochemical Studies ◽  
Triple Negative Subtype

Aim. The aim of the study was to determine the presence of peculiarities of the age structure in patients with various surrogate molecular biological subtypes of breast cancer. Materials and research methods. This work analyzes the age-related characteristics of the occurrence of molecular biological subtypes in 499 patients with invasive breast cancer. All cases were divided into 5 molecular biological subtypes based on immunohistochemical studies of hormone receptors, Her2, Ki-67. The average age of the patients was 53.4±0.39 years, the predominant group was patients from 50 to 60 years (37.2% of the total). Research results. In patients under 40 years old, the triple negative subtype prevailed (44.8%). Luminal A subtype prevailed in the groups 51-60 years old (more than 41.4%) and over 60 years old (39.7%). Luminal B (Her2-) subtype was equally found in all age groups.

scholarly journals Cancer-Associated Fibroblasts in Breast Cancer Treatment Response and Metastasis

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3146
Author(s):  
Patricia Fernández-Nogueira ◽  
Gemma Fuster ◽  
Álvaro Gutierrez-Uzquiza ◽  
Pere Gascón ◽  
Neus Carbó ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Hormone Receptors ◽  
Treatment Strategies ◽  
Specific Treatment ◽  
Growth Factor Receptor ◽  
Cancer Associated Fibroblasts ◽  
Luminal A ◽  
Luminal B ◽  
Number Of Patients ◽  
Current Therapies

Breast cancer (BrCa) is the leading cause of death among women worldwide, with about one million new cases diagnosed each year. In spite of the improvements in diagnosis, early detection and treatment, there is still a high incidence of mortality and failure to respond to current therapies. With the use of several well-established biomarkers, such as hormone receptors and human epidermal growth factor receptor-2 (HER2), as well as genetic analysis, BrCa patients can be categorized into multiple subgroups: Luminal A, Luminal B, HER2-enriched, and Basal-like, with specific treatment strategies. Although chemotherapy and targeted therapies have greatly improved the survival of patients with BrCa, there is still a large number of patients who relapse or who fail to respond. The role of the tumor microenvironment in BrCa progression is becoming increasingly understood. Cancer-associated fibroblasts (CAFs) are the principal population of stromal cells in breast tumors. In this review, we discuss the current understanding of CAFs’ role in altering the tumor response to therapeutic agents as well as in fostering metastasis in BrCa. In addition, we also review the available CAFs-directed molecular therapies and their potential implications for BrCa management.

Áp dụng hóa bảng phân loại của ST GALLEN 2013 trong phân nhóm phân tử ung thư vú biểu mô tuyến vú

2020 ◽  
Author(s):  
Chu Nguyen Van
Keyword(s):  
Breast Cancer ◽  
Adjuvant Therapy ◽  
Cancer Patients ◽  
Molecular Classification ◽  
Breast Cancer Patients ◽  
Luminal A ◽  
Prognostic Information ◽  
Patient Groups

Molecular classification of breast cancer is target to category patient groups who need to treat by the appropriate adjuvant therapy and provide more exact prognostic information. Purpose: Determining the proportion of molecular types and commenting on some association with clinicpathological characteristics of breast cancer. Methods: 521 operated breast cancer patients were stained by immunohistochemistry with markes such as: ER, PR, HER2, and Ki67 for classifying into 5 molecular categories and follow up assessment. Results: Type LUMBH- accounted for the highest proportion of 26.5%, followed by luminal A (22.5%). Typically, LUMA was the highest rate in good NPI (35.0%), whereas in poor NPI group, HER2 type was the highest rate (36.4%) (p<0.001). The LUMBH - group has the OS rate during the 5-year follow-up of 94.6% and LUMA is 93.5%; In contrast, the HER2 group showed the lowest OS ratio (72.6%) (p<0.05). Conclusion: Molecular classification of breast cancer according to St Gallen 2013 classification can provide the important information for treatment and prognosis.

scholarly journals Data Perturbation Independent Diagnosis and Validation of Breast Cancer Subtypes Using Clustering and Patterns

2006 ◽  
Vol 2 ◽  
pp. 117693510600200 ◽  
Author(s):  
G. Alexe ◽  
G.S. Dalgin ◽  
R. Ramaswamy ◽  
C. Delisi ◽  
G. Bhanot
Keyword(s):  
Breast Cancer ◽  
Data Perturbation ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Luminal B ◽  
Molecular Stratification ◽  
Core Cluster ◽  
Therapeutic Decisions ◽  
Disease Subtypes

Molecular stratification of disease based on expression levels of sets of genes can help guide therapeutic decisions if such classifications can be shown to be stable against variations in sample source and data perturbation. Classifications inferred from one set of samples in one lab should be able to consistently stratify a different set of samples in another lab. We present a method for assessing such stability and apply it to the breast cancer (BCA) datasets of Sorlie et al. 2003 and Ma et al. 2003. We find that within the now commonly accepted BCA categories identified by Sorlie et al. Luminal A and Basal are robust, but Luminal B and ERBB2+ are not. In particular, 36% of the samples identified as Luminal B and 55% identified as ERBB2+ cannot be assigned an accurate category because the classification is sensitive to data perturbation. We identify a “core cluster” of samples for each category, and from these we determine “patterns” of gene expression that distinguish the core clusters from each other. We find that the best markers for Luminal A and Basal are (ESR1, LIV1, GATA-3) and (CCNE1, LAD1, KRT5), respectively. Pathways enriched in the patterns regulate apoptosis, tissue remodeling and the immune response. We use a different dataset (Ma et al. 2003) to test the accuracy with which samples can be allocated to the four disease subtypes. We find, as expected, that the classification of samples identified as Luminal A and Basal is robust but classification into the other two subtypes is not.

Impact of the molecular pathology of breast cancer on mortality rates and overall survival in a Haitian cancer clinic.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13588-e13588
Author(s):  
Joseph Bernard ◽  
Rebecca Henderson ◽  
Lynn Gabrielle Alexis ◽  
Doukens Patrick Gilbert ◽  
Lenz Sacha Christyl Pierre ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Mortality Rate ◽  
Molecular Subtype ◽  
Metastatic Breast ◽  
Molecular Classification ◽  
Luminal A ◽  
Luminal B ◽  
The Impact ◽  
Cancer Clinic

e13588 Background: Breast cancer in the most common malignancy among women in Haiti and is mostly diagnosed at an advanced stage. While it is well known that molecular subtype is a prognostic factor, it needs to be investigated among Haitian patients with breast cancer. This study aimed to evaluate the impact of molecular classification of breast cancer on the survival of patients managed in Haiti’s largest cancer clinic. Methods: A retrospective study was conducted on the breast cancer patients of Innovating Health International (IHI) in Port-au-Prince, Haiti from January 2014 to December 2018. Chart review included all patients with breast cancer and tested for molecular classification. Data on variables such as date of admission, age, TNM staging, molecular classification, outcome and date of death were collected for the analysis. Mortality rate and median overall survival (OS) were estimated as of December 31st, 2019 and stratified according to molecular subtypes. Results: Among the 948 breast cancer cases diagnosed for the study period, 234 (24.7%) of them had a complete molecular classification. The mean age was 51.5 years [range: 23-94]. 55.1% of the patients were ER-positive, among them 33.7% ER+/PR+/HER2-, 15.4% ER+/PR-/HER2-, 2.1% ER+/PR-/HER2+ and 3.8% ER+/PR+/HER+ (triple positive). There were overall 25.6% of luminal A and 29.5% of luminal B cases. 44.9% were ER-negative, among them 14.1% ER-/PR-/HER2+ (HER2-enriched) and 29.1% ER-/PR-/HER2- (triple-negative). 92.2% of the patients had advanced breast cancer (stages IIB to IV). 29.5% had metastatic breast cancer, 22.8% for luminal A cases, 27.0% for luminal B, 36.7% for HER2-enriched and 32.8% for TNBC. Overall mortality rate was 42.3%, respectively 33.3% for luminal A cases, 37.7% for luminal B, 42.4% for HER2-enriched cases and 55.9% for TNBC. Median OS was not yet reached for luminal A, luminal B and HER2-enriched breast cancer, with a respective mean survival of 52.4 months, 51.3 months and 51.6 months. However, OS was 30.6 months for triple-positive breast cancer and 23.7 months for TNBC. Conclusions: Patients with luminal A breast cancer were less likely to have metastatic disease and thus had lower mortality rate and better overall survival. This was likely due to its less aggressive biology and the availability of hormone therapy. Poor availability and inaccessibility of HER2-targeted drugs were the main cause of the higher mortality rate among HER2-enriched patients. TNBC remains the most aggressive subtype.

scholarly journals Molecular Subtypes of Breast Cancer: A Review for Breast Radiologists

2020 ◽  
Author(s):  
Karen S Johnson ◽  
Emily F Conant ◽  
Mary Scott Soo
Keyword(s):  
Breast Cancer ◽  
Molecular Subtypes ◽  
Disease Free Survival ◽  
Response To Treatment ◽  
Her2 Status ◽  
Imaging Features ◽  
Luminal A ◽  
Luminal B ◽  
Her2 Breast Cancer ◽  
Er Expression

Abstract Gene expression profiling has reshaped our understanding of breast cancer by identifying four molecular subtypes: (1) luminal A, (2) luminal B, (3) human epidermal growth factor receptor 2 (HER2)-enriched, and (4) basal-like, which have critical differences in incidence, response to treatment, disease progression, survival, and imaging features. Luminal tumors are most common (60%–70%), characterized by estrogen receptor (ER) expression. Luminal A tumors have the best prognosis of all subtypes, whereas patients with luminal B tumors have significantly shorter overall and disease-free survival. Distinguishing between these tumors is important because luminal B tumors require more aggressive treatment. Both commonly present as irregular masses without associated calcifications at mammography; however, luminal B tumors more commonly demonstrate axillary involvement at diagnosis. HER2-enriched tumors are characterized by overexpression of the HER2 oncogene and low-to-absent ER expression. HER2+ disease carries a poor prognosis, but the development of anti-HER2 therapies has greatly improved outcomes for women with HER2+ breast cancer. HER2+ tumors most commonly present as spiculated masses with pleomorphic calcifications or as calcifications alone. Basal-like cancers (15% of all invasive breast cancers) predominate among “triple negative” cancers, which lack ER, progesterone receptor (PR), and HER2 expression. Basal-like cancers are frequently high-grade, large at diagnosis, with high rates of recurrence. Although imaging commonly reveals irregular masses with ill-defined or spiculated margins, some circumscribed basal-like tumors can be mistaken for benign lesions. Incorporating biomarker data (histologic grade, ER/PR/HER2 status, and multigene assays) into classic anatomic TNM staging can better inform clinical management of this heterogeneous disease.

Breast cancer pathology patterns in Armenia.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12586-e12586
Author(s):  
Davit Zohrabyan ◽  
Samvel Bardakhchyan ◽  
Sergo Mkhitaryan ◽  
Liana Safaryan ◽  
Jemma Arakelyan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Ductal Carcinoma ◽  
Lobular Carcinoma ◽  
Medullary Carcinoma ◽  
Her2 Status ◽  
Leukocyte Infiltration ◽  
Luminal A ◽  
Luminal B ◽  
Epidemiological Characteristics ◽  
Armenian Women

e12586 Background: Breast cancer (BC) is the most common malignancy among the women in Armenia (AM). Currently there is a knowledge gap regarding the morphology distribution of the BC in AM. Methods: The data on patients with BC diagnosed in 2015-2016 in the pathology lab “Davidyants Labs” in AM were retrospectively reviewed. Pts with Her2+ results by IHC were excluded from the study, due to unavailability to perform FISH or CISH analyses. Overall 361 pathology reports were evaluated. Results: The median age was 54 years; range [19-82]. Histopathological subtypes were defined for 305 pts, from which lobular carcinoma 57.4% of cases (175/305), ductal carcinoma 26.9% (82/305), mucinous carcinoma 2.6% (8/305), mixed type carcinoma (lobular and ductal) 2.6% (8/305), DCIS 2% (n = 6/305), non specified carcinoma 2% (6/305), medullary carcinoma 1% (n = 3/305) and others 5.6% (17/305). Within the cohort 8.5% (23/270) were grade 1, 65.9% grade 2 (178/270); 25.6% grade 3 (n = 69/270). Vascular or lymphatic invasion was present in 59.5% (50/84) and 64.7% (55/85), respectively. Staging distribution, based on pT pN data for 92 pts who went to primary surgery, was: 0 stage 7.6% (7/92), I stage 22.8% (21/92), II stage 41.3% (38/92), III stage 28.3% (26/92). Staging distribution based on ypT ypN data for 27 pts who went to surgery after neoadjuvant chemo was 0 stage 25.9% (7/27), I stage 18.5% (5/27), II stage 29.6% (8/27), III stage 25.9% (7/27). ER and PR were defined for 244 patients. ER positive 89.8% (219/244) of cases, PR pos. 73% (178/244), ER/PR pos. 72.5% (177/244) cases. Her receptor was defined for 237 patients. Her3+ 16.9% (40/237); Her2+ 12.7% (30/237); Her1+ 38% (90/237); Her0 32.5% (n = 77/237). We could not evaluate Her2+ status by FISH or CISH, so these results were excluded from the analysis. Ki67 was low (≤20) in 42.1% (101/240) of cases and high ( > 20) in 57.9% (139/240). Within the group Luminal A type was 41.4% (84/203); Luminal B 32.5% (66/203); Her positive 19.7% (40/203) and triple negative 6.4% (13/203). p53 and perineural invasion (Pn) was present in 32% (16/50) and 52% (26/50), respectively. Tumor leukocyte infiltration was determined for 16 patients. Leukocyte infiltration was positive in 43.7% (7/16) cases, negative in 25% (4/16) cases, minimal in 31.3% cases (5/16). Conclusions: BC in Armenian women presents with different epidemiological characteristics in comparison with other ethnicities. Lobular type BC is the most frequent type among Armenian women, however, differential diagnosis between lobular/ductal carcinomas was done without IHC (E-Cadherin), which rises the need for further studies on that regard.

Modern pathologic diagnostics of breast cancer

2012 ◽  
Vol 153 (1) ◽  
pp. 22-30 ◽  
Author(s):  
János Szőke ◽  
Nóra Udvarhelyi
Keyword(s):  
Breast Cancer ◽  
Histological Grade ◽  
Molecular Classification ◽  
Molecular Techniques ◽  
Her2 Status ◽  
Lymph Node Status ◽  
Factors Affecting ◽  
Prognostic Tests ◽  
Pathologic Parameters

The diagnosis of breast cancer is morphologically based. Pathologic parameters, such as tumor size, lymph node status, and histological grade are well accepted to guide treatment decisions in clinical practice. Estrogen receptor, progesterone receptor and HER2 status are also routinely assessed in today’s pathology laboratories to provide further information on predictive and prognostic factors affecting patients’ care. Newer molecular techniques, including gene-expression profiling have been widely used to study breast cancer and several molecular prognostic tests already available for clinical use stemmed from these scientific efforts. Authors review prognostically important aspects of the diagnostic pathology and the molecular classification of invasive breast cancer. Orv. Hetil., 2012, 153, 22–30.

scholarly journals Neoadjuvant Chemotherapy Exerts Selection Pressure Towards Luminal Phenotype Breast Cancer

Breast Care ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. 391-394 ◽  
Author(s):  
Giulia Galli ◽  
Giacomo Bregni ◽  
Stefano Cavalieri ◽  
Luca Porcu ◽  
Paolo Baili ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Hormone Receptors ◽  
Residual Disease ◽  
Luminal A ◽  
Her2 Positive ◽  
Ki 67 ◽  
Surgical Specimen ◽  
Luminal B ◽  
Basal Phenotype

Background: Breast cancer (BC) phenotype after neoadjuvant chemotherapy (NAC) has not been extensively described and few data exist on whether expression of the primary tumor hormone receptors, HER2 and Ki-67 changes as a result of chemotherapy. Materials and Methods: We analyzed specimens from all BC patients treated with anthracycline/taxane-based NAC at our Institution between January 2010 and March 2015 (n = 325). The expression of estrogen receptor (ER), progesterone receptor (PR), HER2 and Ki-67 was determined in pre- and post-NAC specimens. McNemar's test was used to compare paired proportions. Results: Among patients with residual disease after NAC, basal phenotype was luminal A, luminal B, HER2 positive and triple negative in 44, 111, 74 and 27 cases, respectively. PR-positive tumors decreased from 68.0% in the initial biopsy sample to 61.7% in the surgical specimen (p = 0.024). A Ki-67 of < 20% increased from 23.6% to 45% (p < 0.001). ER expression changed from positive to negative in 5% and from negative to positive in 16.7% of cases. Overall, 30% of cases underwent subtype changes, 79% of them towards luminal differentiation. Conclusions: The switch towards luminal phenotype suggests some kind of endocrine effect of NAC. Our findings raise renewed interest in combinatorial cytotoxic chemotherapy with concomitant or rather sequential endocrine therapy, either alone or with targeted agents.

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