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.

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

The role of Ki-67 in molecular breast cancer classification.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 583-583
Author(s):  
George Stathopoulos ◽  
Nikolaos Malamos ◽  
Christos Markopoulos ◽  
Athanasios Polychronis ◽  
Sotirios Rigatos ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Triple Negative ◽  
Progesterone Receptors ◽  
Molecular Classification ◽  
Breast Cancer Patients ◽  
Luminal A ◽  
Ki 67 ◽  
Luminal B ◽  
Her 2

583 Background: The Ki-67 antigen was identified the involvement in early steps of polymerase I-dependent ribosomal RNA synthesis. Although it seems that the protein has an important function in cell division, its exact role is still obscure and there is little published work on its overall function. The aim of the present study is to evaluate the contribution of Ki-67 level in respect of tumor recurrence in molecular classified groups of breast cancer patients. Methods: Breast cancer tumor samples were examined for histological confirmation and for estrogen and progesterone receptors, c-erb-B2 expression, proliferation with Grade and Ki-67. Ki-67 was divided in percentage levels, up to 20 and higher than 20%. Immunohistochemistry and Fluorescence in situ hybridization is described for the results of ER, PR, c-erb-B2, Ki-67 biomarkers. Formaldehyde – fixed breast samples were paraffin wax embedded and processed for paraffin sections. The primary antibodies used were: The monoclinal antibody ID5 (M7047, Dakocytomation, Carpinteria, CA) for the detection of ER, the monoclonal anti-PR antibody 636 was used. For the detection of Ki-67 we used monoclonal mouse anti-human Ki-67 MIB-1. The patients molecular classification was Luminal A, Luminal B, Her-2 subtype and basal cell (triple negative). Results: 847 breast cancer patients were recruited. 291 were group as Luminal A, 228 as Luminal B, 221 Her-2 subtype and 107 triple negative. Follow-up was from 3 years to 15 years since diagnosis. It was found that in Luminal A patients, none had Ki-67 higher than 20% and the recurrence was in 10.65%. In Luminal B, the Ki-67 was higher than 20% in 61% of the patients and recurrence 23.68%. In Her-2 subtype >20% Ki-67 was 78.94%, recurrence 17.19%. In triple negative > 20% Ki-67 was in 68.75% and recurrence in 29.90% of the patients. Conclusions: The data presented here indicate that Ki-67 level may be considered as one of valuable biomarkers in breast cancer patients process and recurrence.

scholarly journals Survival of Spinal Metastasis Disease based on Immunohistochemistry Subtype of Breast Cancer: A Systematic Review and Meta-analysis

2021 ◽  
Vol 9 (F) ◽  
pp. 101-105
Author(s):  
Ivan Hugo Hadisaputra ◽  
Tjokorda Gde Bagus Mahadewa ◽  
Putu Eka Mardhika
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Survival Time ◽  
Spinal Metastasis ◽  
Meta Analysis ◽  
Spinal Metastases ◽  
Luminal A ◽  
Luminal B ◽  
Moderate Growth ◽  
Her 2

BACKGROUND: Breast cancer is categorized as a slow-growth tumor in the spinal metastases disease (SMD) scoring system. Based on immunohistochemistry, breast cancer has four subtypes: Luminal A (LumA), luminal B (LumB), human epidermal growth factor 2 (Her-2) type, and triple-negative breast cancer (TNBC). TNBC has the poorest prognosis. AIM: This study aimed to describe the survival time of breast cancer with SMD based on immunohistochemistry subtypes through systematic review and meta-analysis. METHODS: This is a systematic review and meta-analysis study. This study used electronic articles published in PubMed and CENTRAL online database. We used keywords ([breast] AND [cancer] AND [spine] AND [metastasis]) to find eligible studies. Articles included were full-text studies in English. Survival time as the outcome was pooled according to the immunohistochemistry subtype of breast cancer. Statistical analysis was performed using software Stata. RESULTS: Five articles met our inclusion and exclusion criteria. LumA, LumB, Her-2 type, and TNBC have a survival time of 32.84 months, 35.20 months, 60.8 months, and 14.27 months, respectively. CONCLUSION: TNBC has the lowest survival time in the pooled analysis. We proposed TNBC be categorized as a moderate growth primary tumor.

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 Apparent diffusion coefficient cannot predict molecular subtype and lymph node metastases in invasive breast cancer: a multicenter analysis

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Alexey Surov ◽  
Yun-Woo Chang ◽  
Lihua Li ◽  
Laura Martincich ◽  
Savannah C. Partridge ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Diffusion Coefficient ◽  
Triple Negative ◽  
Molecular Subtype ◽  
Luminal A ◽  
Ki 67 ◽  
Luminal B ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Her 2

Abstract Background Radiological imaging plays a central role in the diagnosis of breast cancer (BC). Some studies suggest MRI techniques like diffusion weighted imaging (DWI) may provide further prognostic value by discriminating between tumors with different biologic characteristics including receptor status and molecular subtype. However, there is much contradictory reported data regarding such associations in the literature. The purpose of the present study was to provide evident data regarding relationships between quantitative apparent diffusion coefficient (ADC) values on DWI and pathologic prognostic factors in BC. Methods Data from 5 centers (661 female patients, mean age, 51.4 ± 10.5 years) were acquired. Invasive ductal carcinoma (IDC) was diagnosed in 625 patients (94.6%) and invasive lobular carcinoma in 36 cases (5.4%). Luminal A carcinomas were diagnosed in 177 patients (28.0%), luminal B carcinomas in 279 patients (44.1%), HER 2+ carcinomas in 66 cases (10.4%), and triple negative carcinomas in 111 patients (17.5%). The identified lesions were staged as T1 in 51.3%, T2 in 43.0%, T3 in 4.2%, and as T4 in 1.5% of the cases. N0 was found in 61.3%, N1 in 33.1%, N2 in 2.9%, and N3 in 2.7%. ADC values between different groups were compared using the Mann–Whitney U test and by the Kruskal-Wallis H test. The association between ADC and Ki 67 values was calculated by Spearman’s rank correlation coefficient. Results ADC values of different tumor subtypes overlapped significantly. Luminal B carcinomas had statistically significant lower ADC values compared with luminal A (p = 0.003) and HER 2+ (p = 0.007) lesions. No significant differences of ADC values were observed between luminal A, HER 2+ and triple negative tumors. There were no statistically significant differences of ADC values between different T or N stages of the tumors. Weak statistically significant correlation between ADC and Ki 67 was observed in luminal B carcinoma (r = − 0.130, p = 0.03). In luminal A, HER 2+ and triple negative tumors there were no significant correlations between ADC and Ki 67. Conclusion ADC was not able to discriminate molecular subtypes of BC, and cannot be used as a surrogate marker for disease stage or proliferation activity.

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.

Response to neoadjuvant chemotherapy and outcome based on breast cancer subtype

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e11516-e11516
Author(s):  
A. Guerrero-Zotano ◽  
J. Gavila ◽  
M. A. Climent ◽  
M. J. Juan ◽  
V. Guillem ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Breast Cancer Subtypes ◽  
Nuclear Staining ◽  
Luminal A ◽  
Long Term Outcome ◽  
Cancer Subtypes ◽  
Luminal B ◽  
Her 2

e11516 Background: Gene expression profiling identifies several breast cancer subtypes with different chemosensitivity and outcome. We used immunohistochemistry surrogate markers to classify tumors according to known breast cancer subtypes and examined the relationship between neoadjuvant chemotherapy (NAC) response and long-term end points, including distant disease-free survival (DDFS) and overall survival (OS). Methods: Review of clinical and pathological data from 271 breast cancer patients treated in our institution with NAC between 1991–2008. Breast cancer subtypes were defined as follows: Luminal A: Estrogen receptor positive (ER+) and/or progesterone peceptor positive (PR+), human epidermal growth factor receptor 2-positive (Her-2+); Luminal B: ER+ and/or PR+,Her-2+; Basal: ER-,PR-,Her-2-;HER2: ER-,PR-,Her-2 +. ER and PR positive scored as positive if tumor cell nuclear staining was at least 2+. Her-2 scored as positive if test DAKO scored 3+ or FISH ratio Her-2/CEP-17>2.2. Results: 121 (45.8%) patients were classifed as Luminal A; 22 (8.1%) as Luminal B; 75 (27.7%) as Basal, and 50 (18.5%) as HER2. Most patients (63%) received NAC based on anthracyclines and taxanes. 36% Her-2+ patients were treated with NAC based on trastuzumab, and 43% received trastuzumab as adjuvant treatment. Response and outcome results are shown below (Table). Independently from subtype, only four patients out of 58 with pCR relapsed. Among patients who didn´t achieved pathologic complete response (pCR), basal and HER2 subtypes have the worst outcome (4 years SG 80% and 72% respectevely) compared with Luminal A (4 years SG: 94.7%), (log-rank p=0.009). Conclusions: Basal and HER2 tumor despite high chemosensitivity have worst long term outcome, particularly if pCR is not achieved after NAC. [Table: see text] No significant financial relationships to disclose.

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 Diffusion Weighted Imaging of Different Breast Cancer Molecular Subtypes. A Systematic Review and Meta Analysis.

2020 ◽  
Author(s):  
Hans-Jonas Meyer ◽  
Andreas Wienke ◽  
Alexey Surov
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Diffusion Weighted Imaging ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Luminal A ◽  
Adc Value ◽  
Luminal B ◽  
Adc Values ◽  
Her 2

Abstract Background: Magnetic resonance imaging can be used to diagnose breast cancer (BC)s. Diffusion weighted imaging and the apparent diffusion coefficient (ADC) can be used to reflect tumor microstructure. The present analysis sought to compare ADC values between molecular subtypes of BC based upon a large patient sample.Methods: MEDLINE library and SCOPUS databases were screened for the associations between ADC and molecular suptype of BC to April 2020. Primary endpoint of the systematic review was the ADC value in different BC. Overall, 28 studies were suitable for the analysis and included into the present study.Results: The included studies comprised a total of 2990 tumors. Luminal A type was diagnosed in 865 cases (28.9%), Luminal B in 899 cases (30.1%), Her-2 enriched in 597 cases (20.0%) and triple negative in 629 cases (21.0%). The mean ADC value of the Luminal A type was 0.99 × 10− 3 mm2/s [95% CI 0.94-1.04], of the Luminal B type was 0.99 × 10− 3 mm2/s [95% CI 0.89-1.05], of Her 2-enriched type was 1.02 × 10− 3 mm2/s [95% CI 0.95-1.08] and of the triple negative type was 0.99 × 10− 3 mm2/s [95% CI 0.91-1.07].Conclusions: ADC values cannot be used to discriminate between molecular subtypes of BC.

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