SURVIVAL LIFE PENDERITA KANKER PAYUDARA WANITA BERDASARKAN PROFIL IMUNOHISTOKIMIA DI RSUD Dr. H. ABDUL MOELOEK PROVINSI LAMPUNG

2021 ◽  
Vol 5 (3) ◽  
pp. 198-208
Author(s):  
Muhamad Ifan Fadhil ◽  
Wien Wiratmoko ◽  
Esteria Marhayuni ◽  
Yuniastini Yuniastini
Keyword(s):  
Triple Negative ◽  
Luminal A ◽  
Luminal B ◽  
Kaplan Meier

Kanker payudara merupakan jenis kanker yang paling sering terjadi pada wanita. Tahun 2018, diperkirakan 627.000 wanita meninggal karena kanker payudara (15% dari semua kematian akibat kanker di kalangan wanita). Prevalensi penyakit ini, di Indonesia tahun 2018 sebanyak 137.514 kasus dengan jumlah kematian 18.279 kasus tiap tahunnya. Parameter dalam menentukan prognosis kanker payudara dapat diketahui melalui survival life kanker payudara yang merupakan perkiraan persentase pasien yang akan bertahan hidup dari kanker mereka untuk jangka waktu tertentu setelah didiagnosis. Untuk menganalisis survival life penderita kanker payudara ditentukan dari profil imunohistokimia. Penelitian ini bertujuan untuk mengetahui persentase survival life penderita kanker payudara wanita berdasarkan profil imunohistokimia di RSUD Dr. H Abdul Moeloek Provinsi Lampung. Jenis penelitian retrospektif. Populasi adalah seluruh penderita kanker payudara yang terdiagnosa tahun 2015. Setelah diikuti selama lima tahun (2019), didapat 35 sampel yang memenuhi kriteria. Analisis data menggunakan analisis survival metode Kaplan-Meier. Survival life 5 tahun dengan profil imunohistokimia luminal A: 80%; luminal B: 50%. Survival life 4 tahun HER2-enriched: 37,5%. Untuk triple negative/basal like, survival life 3 tahun sebesar 44%. Survival life tertinggi adalah penderita dengan luminal A, diikuti penderita dengan luminal B, HER2-enriched, triple negative/basal like.

scholarly journals Inflammatory Breast Cancer: Clinical Characteristics and Influence of Molecular Subtypes on Treatment Response

2021 ◽  
Vol 107 (1_suppl) ◽  
pp. 12-12
Author(s):  
D Aissaoui ◽  
M Bohli ◽  
R Ben Amor ◽  
J Yahyaoui ◽  
A Hamdoun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Treatment Response ◽  
Inflammatory Breast Cancer ◽  
Hormone Receptor ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Luminal A ◽  
Her2 Positive ◽  
Luminal B ◽  
Significant Difference

Introduction: Inflammatory Breast Cancer (IBC) is a rare and very aggressive breast cancer with poor prognosis. The prevalence is different from a country to another. In Tunisia, it is about 5 to 7% of breast cancer. The aim of this study is to describe the epidemiological and histopathological features of patients with inflammatory breast cancer and to evaluate the treatment response according to the molecular subtypes. Methods: This retrospective review identified 31 patients with no metastatic IBC treated in our radiotherapy department between December 2019 and November 2020. IBC was confirmed using the clinical criteria. Baseline clinic-pathological and treatment information was retrieved from medical records. Statistical analysis was performed with IBM SPSS V.20. Results: Median age was 51.3 years [27-68]. 48% of tumors were grade 3. The average tumor size was 36mm [10-90]. The histological type was ductal carcinoma in 97%. Vascular invasion was noted in 24 patients (77%). Thirty patients were classified as stage IIIB and one patient was IIIC. 74% were hormone receptor positive and 45% were HER2 positive. Luminal B was the predominant subtype (52%) followed by Her2 positive (32%), Luminal A (23%), and triple negative (3%) All patients had chemotherapy: neoadjuvant for 26 patients (84%) and adjuvant for 5 patients (16%). Nine patients (29%) had tumor pathological complete response (pCR). Partial response was observed in 18 patients (58%). Lymph node pCR was noted in 16% of cases (n=5). Endocrine therapy and trastuzumab were given to 76% and 45% of patients, respectively. The influence of the molecular subtype was not statistically significant on the response to neoadjuvant treatment. The highest rate of pCR were 43% for Her2positive, then 27%, 21% and 9% for Luminal B, Luminal A and Triple negative, respectively (p=0.2). Conclusion: Our study showed a high percentage of hormone receptor and Her2+ (74% and 45% respectively) in IBC. Luminal B was the most frequent subtype. Anthracycline-based chemotherapy and trastuzumab improved the pCR rate: 44% for Her2positive. Triple negative showed poorer pCR than other breast cancer subtype without a significant difference. A larger study is warranted to confirm our findings.

scholarly journals Diffusion-Weighted Imaging of Different Breast Cancer Molecular Subtypes: A Systematic Review and Meta-Analysis

Breast Care ◽  
2021 ◽  
pp. 1-8
Author(s):  
Hans-Jonas Meyer ◽  
Andreas Wienke ◽  
Alexey Surov
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Diffusion Weighted Imaging ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Luminal A ◽  
Diagnose Breast Cancer ◽  
Luminal B ◽  
Diffusion Weighted ◽  
Adc Values

Background: Magnetic resonance imaging can be used to diagnose breast cancer (BC).Diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) can be used to reflect tumor microstructure. Objectives: This analysis aimed to compare ADC values between molecular subtypes of BC based on a large sample of patients. Method: The MEDLINE library and Scopus database were screened for the associations between ADC and molecular subtypes of BC up to April 2020. The primary end point of the systematic review was the ADC value in different BC subtypes. Overall, 28 studies were included. Results: The included studies comprised a total of 2,990 tumors. Luminal A type was diagnosed in 865 cases (28.9%), luminal B in 899 (30.1%), human epidermal growth factor receptor (Her2)-enriched in 597 (20.0%), and triple-negative in 629 (21.0%). The mean ADC values of the subtypes were as follows: luminal A: 0.99 × 10–3 mm2/s (95% CI 0.94–1.04), luminal B: 0.97 × 10–3 mm2/s (95% CI 0.89–1.05), Her2-enriched: 1.02 × 10–3 mm2/s (95% CI 0.95–1.08), and triple-negative: 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.

Trends in breast cancer mortality according to molecular subtypes: A population-based study.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 572-572
Author(s):  
Yunan Han ◽  
Shuai Xu ◽  
Graham A. Colditz ◽  
Adetunji T. Toriola
Keyword(s):  
Breast Cancer ◽  
Cancer Mortality ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Breast Cancer Mortality ◽  
Treatment Strategies ◽  
Luminal A ◽  
Her2 Positive ◽  
Mortality Trends ◽  
Luminal B

572 Background: Breast cancer is the second leading cause of cancer death in U.S. women. On the molecular level, breast cancer is a heterogeneous disease. Heterogeneous expressions of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) are etiologically and clinically meaningful, as they map to distinct risk factors and different treatment strategies. Although breast cancer mortality has been declining since 1990, little is known about mortality trends according to molecular subtypes at the population level. Methods: We examined the incidence-based mortality rates and trends among women who were diagnosed with invasive breast cancer from 2010 through 2017 using the Surveillance, Epidemiology, and End Results (SEER) database. We defined incidence-based mortality using a moving 5-year calendar period starting in 2014. We further assessed mortality according to breast cancer molecular subtypes: luminal A (ER and/or PR positive, HER2 negative), luminal B (ER and/or PR positive, HER2 positive), HER2-enriched (HER2 over-expressed or amplified, ER and PR negative) and triple-negative (ER and PR negative, HER2 negative) tumors. We calculated annual percent changes (APC) in incidence-based mortality using joinpoint regression models. Results: Overall, incidence-based mortality for breast cancer significantly decreased by 1.5% annually from 2014 through 2017 (APC, -1.5%; 95% coefficient interval [CI], -2.3% to -0.7%; p<0.001). Incidence-based mortality decreased annually by 2.0% for luminal A breast cancer (APC, -2.0%; 95% CI, -3.7% to -0.3%; p<0.001), 2.1% for luminal B breast cancer (APC, -2.1%; 95% CI, -5.4% to 1.4%; p=0.1), 1.1% for triple-negative breast cancer (TNBC) (APC, -1.1%; 95% CI, -2.1% to -0.0%; p<0.001). However, incidence-based mortality for HER2-enriched breast cancer increased 2.3% annually during the study period (APC, 2.3%; 95% CI, -2.4% to 7.2%; p=0.2). Conclusions: Between 2014 and 2017, incidence-based mortality for luminal A, luminal B, and TNBC decreased among U.S. women, with a larger decrease observed for luminal tumors. However, incidence-based mortality for HER2-enriched breast cancer increased. The favorable incidence-based mortality trends for luminal tumors and TNBC are likely due to the continuing improvement in treatments and early detection. The increasing trend of incidence-based mortality for HER2-enriched breast cancer constitutes a priority for cancer control activities and further research.

scholarly journals Low KIBRA Expression Is Associated with Poor Prognosis in Patients with Triple-Negative Breast Cancer

Medicina ◽  
2021 ◽  
Vol 57 (8) ◽  
pp. 837
Author(s):  
So-Woon Kim ◽  
Jinah Chu ◽  
Sung-Im Do ◽  
Kiyong Na
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Poor Prognosis ◽  
Triple Negative ◽  
Histological Grade ◽  
Growth Factor Receptor ◽  
Hippo Signaling ◽  
Luminal A ◽  
Luminal B ◽  
Epidermal Growth

Background and Objectives: Kidney and brain protein (KIBRA) is a protein encoded by the WW and C2 domain containing 1 (WWC1) gene and is involved in the Hippo signaling pathway. Recent studies have revealed the prognostic value of KIBRA expression; however, its role in breast cancer remains unclear. The aim of this study was to examine KIBRA expression in relation to the clinical and pathological characteristics of patients with breast cancer and to disease outcomes. Materials and Methods: We analyzed the expression of KIBRA and its correlation with event-free survival (EFS) outcomes in resected samples from 486 patients with breast cancer. Results: KIBRA expression was significantly different among the molecular subgroups (low KIBRA expression: luminal A, 46.7% versus 50.0%, p = 0.641; luminal B, 32.7% versus 71.7%, p < 0.001; human epidermal growth factor receptor 2 (HER2)-enriched, 64.9% versus 45.5%. p = 0.001; triple-negative, 73.6% versus 43.8%, p < 0.001). Low KIBRA expression was also associated with high nuclear grade (60.4% versus 37.8%, p < 0.001), high histologic grade (58.7% versus 37.0%, p < 0.001), and estrogen receptor (ER) negativity (54.2% versus 23.6%, p < 0.001). Low KIBRA expression was significantly associated with poor EFS (p = 0.041; hazard ratio (HR) 1.658; 95% confidence interval (CI), 1.015–2.709). Low KIBRA expression was an independent indicator of poor prognosis (p = 0.001; HR = 3.952; 95% CI = 1.542–10.133) in triple-negative breast cancer (TNBC). Conclusion: Low KIBRA expression was associated with higher histological grade, ER negativity and poor EFS of breast cancer. In particular, our data highlight KIBRA expression status as a potential prognostic marker for TNBC.

scholarly journals Analysis of prolactin receptor expression in breast cancer subtypes

2020 ◽  
Vol 66 (1) ◽  
pp. 89-94
Author(s):  
T.S. Kalinina ◽  
V.V. Kononchuk ◽  
S.V. Sidorov ◽  
L.F. Gulyaeva
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Prolactin Receptor ◽  
Mrna Level ◽  
Receptor Expression ◽  
Mrna Levels ◽  
Luminal A ◽  
Her2 Positive ◽  
Tissue Samples ◽  
Luminal B

Breast cancer (BC) is the most common cancer among women. It is known that the prolactin receptor (PRLR) may play a role in breast carcinogenesis, but the available data are often contradictory. To get a more complete picture of the relationship between the receptor and mammary gland carcinogenesis, we examined the association between changes in PRLR expression level and tumor subtype (and its main characteristics). To do this, using real-time PCR, we evaluated the level of PRLR mRNA in BC tissue samples and untransformed adjoining tissue samples (89 pairs). Since the androgen receptor (AR) has begun to be seen as a prognostic marker in breast cancer, we also evaluated the association between mRNA levels of AR and PRLR. We found a significant increase in PRLR expression in luminal subtypes; the highest level of PRLR mRNA was detected in luminal A subtype. In HER2-positive ER-, PR-negative BC, the PRLR mRNA level decreases in tumor tissues compared with untransformed tissues. High PRLR expression is also associated with smaller tumor size in luminal B HER2-negative subtype. In ER-, PR-negative tumors, PRLR expression is associated with AR expression: PRLR mRNA level is increased when AR mRNA level is reduced by more than 8 times in triple-negative tumors; in contrast, in HER2-positive subtype it decreases more significantly when AR expression is reduced by more than 3 times. A tendency towards an increase in PRLR expression with an increase in the AR mRNA level was also discovered in luminal subtypes. The level of PRLR expression depends on the age of patients. In luminal A, PRLR expression is higher in patients under 65 years. In contrast, in luminal B HER2-negative and triple-negative BC, reduced PRLR expression was observed in patients under the age of 40 years and under the age of 50 years, respectively. In this group of patients under the age of 40 years with luminal B HER2-negative BC, ER expression was also reduced (0-4 score according to the IHC assay). Thus, PRLR probably plays a different role in the development and progression of BC: in luminal A and luminal B HER2-positive subtypes PRLR may act as an oncogen, and in luminal B HER2-negative and ER-, PR-negative subtypes can play a tumor suppressor role.

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.

Epigenetic aspects of triple-negative in patients with breast cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1041-1041
Author(s):  
Joaquina Martínez-Galan ◽  
Sandra Rios ◽  
Juan Ramon Delgado ◽  
Blanca Torres-Torres ◽  
Jesus Lopez-Peñalver ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Dna Methylation ◽  
Triple Negative ◽  
Breast Cancer Subtype ◽  
Regulation Of Gene Expression ◽  
Breast Cancer Subtypes ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Luminal B

1041 Background: Identification of gene expression-based breast cancer subtypes is considered a critical means of prognostication. Genetic mutations along with epigenetic alterations contribute to gene-expression changes occurring in breast cancer. However, the reproducibility of differential DNA methylation discoveries for cancer and the relationship between DNA methylation and aberrant gene expression have not been systematically analysed. The present study was undertaken to dissect the breast cancer methylome and to deliver specific epigenotypes associated with particular breast cancer subtypes. Methods: By using Real Time QMSPCR SYBR green we analyzed DNA methylation in regulatory regions of 107 pts with breast cancer and analyzed association with prognostics factor in triple negative breast cancer and methylation promoter ESR1, APC, E-Cadherin, Rar B and 14-3-3 sigma. Results: We identified novel subtype-specific epigenotypes that clearly demonstrate the differences in the methylation profiles of basal-like and human epidermal growth factor 2 (HER2)-overexpressing tumors. Of the cases, 37pts (40%) were Luminal A (LA), 32pts (33%) Luminal B (LB), 14pts (15%) Triple-negative (TN), and 9pts (10%) HER2+. DNA hypermethylation was highly inversely correlated with the down-regulation of gene expression. Methylation of this panel of promoter was found more frequently in triple negative and HER2 phenotype. ESR1 was preferably associated with TN(80%) and HER2+(60%) subtype. With a median follow up of 6 years, we found worse overall survival (OS) with more frequent ESR1 methylation gene(p>0.05), Luminal A;ESR1 Methylation OS at 5 years 81% vs 93% when was ESR1 Unmethylation. Luminal B;ESR1 Methylation 86% SG at 5 years vs 92% in Unmethylation ESR1. Triple negative;ESR1 Methylation SG at 5 years 75% vs 80% in unmethylation ESR1. HER2;ESR1 Methylation SG at 5 years was 66.7% vs 75% in unmethylation ESR1. Conclusions: Our results provide evidence that well-defined DNA methylation profiles enable breast cancer subtype prediction and support the utilization of this biomarker for prognostication and therapeutic stratification of patients with breast cancer.

Treatment effectiveness in advanced breast cancer patients in Italy: Ten years experience.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e11573-e11573
Author(s):  
Sandro Barni ◽  
Ilaria Vallini ◽  
Marta Bonotto ◽  
Antonella Brunello ◽  
Monica Indelli ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Trials ◽  
Prognostic Factors ◽  
Soft Tissue ◽  
Triple Negative ◽  
Demographic Data ◽  
Breast Cancer Patients ◽  
Luminal A ◽  
Luminal B ◽  
Oncology Unit

e11573 Background: Several studies suggest that newer therapies can improve survival in MBC, but a different impact on overall survival (OS) is observed according to histology, extension of disease and prognostic factors. This survey was performed for evaluate Italian experience in cancer treatment in the last ten years. Methods: We collected data from 13 Italian Medical Oncology Unit; we registered all consecutive patients (pts) with breast cancer who have developed metastasis between 2000 and 2008. Demographic data, pathological characteristics and treatment were reported. OS was calculated from time of recurrence and stratified according to biological characteristics and to recurrence date. Results: 1542 pts was suitable for analysis; median age 61,7 (range 22-94); MBC at diagnosis 21,8%. Site of disease recurrence: bone 26,2%, visceral 25,4%, bone and visceral 20,7%, soft tissue 11,5%, soft tissue and visceral 8,4%, bone and soft tissue 7,8%. Molecolar classification: luminal A 66,3%, luminal B 14,5%, triple negative 11,5%, HER2+ like 7,7%. Pts received a median of 2 lines of chemotherapy (range 0-10) and 1 line of hormonal therapy (range 0-7); 22,5% received biological drugs. 15,5% of metastatic pts were enrolled in clinical trials. After a median follow up of 7.1 years 84,1% pts died (1297/1542 pts) and median OS was 2,7 years (range 2,6-2,9). We did not observe difference in OS for pts divided into 3 groups according to recurrence date (2000-2002, 2003-2005, 2006-2008). A longer median OS was observed in luminal B (3,8 years) versus luminal A and HER2+ like (2,8 years) and triple negative disease (1,2 years). Conclusions: Our survey describe a large number of MBC pts treated in 13 Italian Oncology Unit. OS analysis did not show significant differences according to recurrence date, but for different prognostic factors. OS data are superimposable to literature ones, showing a good transfer from clinical trials to clinical practice.

Chemosensitivity and endocrine sensitivity prediction by MammaPrint and BluePrint in the Neoadjuvant Breast Registry Symphony Trial (NBRST).

2014 ◽  
Vol 32 (26_suppl) ◽  
pp. 29-29
Author(s):  
Pat W. Whitworth ◽  
Mark Gittleman ◽  
Stephanie Akbari ◽  
Lisette Stork ◽  
Femke De Snoo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Pathologic Complete Response ◽  
Complete Response ◽  
Excision Biopsy ◽  
Luminal A ◽  
Neoadjuvant Endocrine Therapy ◽  
Cancer Subtypes ◽  
Luminal B ◽  
Prior Therapy

29 Background: Classification into molecular subtypes is important for the selection of therapy for patients with breast cancer. Previous analyses demonstrated that breast cancer subtypes have distinct clinical outcome (Gluck, BCRT 2013). The aim of the prospective NBRST study is to measure chemosensitivity as defined by pathologic complete response (pCR), or endocrine sensitivity as defined by partial response (PR) and metastasis-free survival in molecular subgroups. Methods: The study includes women aged 18 to 90 with histologically proven breast cancer, who are scheduled to start neoadjuvant chemotherapy (NCT) or neoadjuvant endocrine therapy (NET), and who provide written informed consent. Additional inclusion criteria include no excision biopsy or axillary dissection, no confirmed distant metastatic disease, and no prior therapy for breast cancer. Treatment is at the discretion of the physician adhering to NCCN approved regimens. Results: Of 336 patients, T1-4 N0-3, had definitive surgery and the overall pCR rate was 24%. 32/167 (19%) IHC/FISH ERPR+/Her2- patients were reclassified by BluePrint (31 Basal). 43/95 (45%) IHC/FISH Her2+ patients were reclassified by BluePrint (25 Luminal and 18 Basal). 3/74 (3%) IHC/FISH triple-negative patients were not Basal by BluePrint. Of 45 (13%) patients classified as Luminal A 32 received NCT; one patient (3%) had a pCR; 13 patients received NET and 9 (70%) had a PR. Of 116 (35%) patients classified as Luminal B, 111 received NCT and seven (6%) had a pCR. The pCR rate (17/149 (11%)) in IHC/FISH ERPR+/HER2- patients was higher. Fifty-five (16%) are BluePrint HER2 and received NCT (51 plus trastuzumab); 27 (49%) had a pCR compared to 35/95 (37%) in IHC/FISH HER2+ patients. One-hundred twenty (36%) are BluePrint Basal and received NCT; 46 (38%) had a pCR, similar to the pCR percentage seen in the 74 patients designated triple-negative by IHC/FISH. Conclusions: Molecular subtyping using MammaPrint and BluePrint leads to a reclassification of 23% (78/336) of tumors. BluePrint reclassification resulted in better grouping of patients into expected response groups compared to local surrogate subtyping with immunostains.

Docetaxel and cyclophosphamide as neoadjuvant chemotherapy in HER2- primary breast cancer.

2014 ◽  
Vol 32 (26_suppl) ◽  
pp. 141-141
Author(s):  
Katsuhiko Nakatsukasa ◽  
Tetsuya Taguchi ◽  
Hiroshi Koyama ◽  
Seiichi Imanishi ◽  
Kouichi Sakaguchi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Primary Breast Cancer ◽  
Triple Negative ◽  
Ductal Carcinoma ◽  
Dose Intensity ◽  
Completion Rate ◽  
Luminal A ◽  
Luminal B ◽  
Triple Negative Subtype

141 Background: Recently, docetaxel plus cyclophosphamide (TC) has been established as a standard regimen for adjuvant chemotherapy in HER2- operable breast cancer. However, the efficacy and tolerability of TC as neoadjuvant chemotherapy (NAC) remains unclear. We performed a prospective study of TC NAC in HER2- primary breast cancer. Methods: Eligible patients had HER2- invasive breast cancer that measured more than 1cm, less than 7cm and N0~N1 clinically between July, 2011 and February, 2014. Four cycles of TC(75 and 600 mg/m2) were administered intravenously every 3 weeks as NAC. We investigated the pathological complete response(pCR) of primary breast tumors. pCR was defined as no histological evidence of invasive carcinoma, or the appearance of only ductal carcinoma in situ. The cut-off value of Ki67 index between luminal A and luminal B was defined 20%. Results: We enrolled 52 patients. The completion rate for 4 cycles of TC was 94.2% ( 49 of 52). Relative dose intensity was 99.1% for TC therapy. Forty nine patients were classified according to breast cancer subtype before the estimation. Overall pCR rate was 16.3 %( 8 of 49 ) . pCR rate for patients with luminal A ( ER+, Ki67 low and HER2- ), luminal B ( ER+, Ki67 high and HER2- ) and triple negative ( ER- and HER2- ) were 0%( 0 of 12 ), 4.3 %( 1 of 23 ) and 50.0 %( 7 of 14 ), respectively pCR was achieved in almost triple negative patients. Conclusions: The pCR rate of TC was not so high, regardless of the high completion rate. In this study, TC was effective against triple negative subtype, showing a high pCR rates, compared with luminal subtype. In conclusion, the efficacy of TC NAC in HER2- primary breast cancer is limited, and triple negative subtype might be the good target. Clinical trial information: UMIN000013261.

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