Functional subtyping with BluePrint 80-gene profile to identify distinct triple-positive subtypes with and without trastuzumab/chemosensitivity.

2015 ◽  
Vol 33 (28_suppl) ◽  
pp. 114-114 ◽  
Author(s):  
Pat W. Whitworth ◽  
Peter D. Beitsch ◽  
Michael C. Rotkis ◽  
James V. Pellicane ◽  
Mary Murray ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Molecular Subtype ◽  
Treatment Decision ◽  
Excision Biopsy ◽  
Molecular Subgroups ◽  
Luminal A ◽  
Accurate Identification ◽  
Molecular Subtyping ◽  
Luminal B ◽  
Type Group

114 Background: Classification by molecular subtype can aid in the selection of therapy for patients with breast cancer. However at present, the methodology for molecular subtyping is not standardized. The aim of the prospective NBRST study is to compare chemosensitivity as defined by pathological Complete Response (pCR) using the 80-gene BluePrint (BP) functional subtype profile vs. conventional IHC/FISH subtyping. Methods: The study includes women aged 18–90 with histologically proven breast cancer, written informed consent, no excision biopsy or axillary dissection, and no prior therapy for breast cancer. Neo-adjuvant Chemotherapy (NCT) was at the discretion of the physician adhering to NCCN approved or other peer-reviewed regimens. BP in combination with MammaPrint classifies patients into 4 molecular subgroups: Luminal A, Luminal B, HER2 and Basal. Results: 721 patients had definitive surgery. 58/335 (17%) IHC/FISH HR+/HER2- patients were re-classified by BP as Basal (57) or HER2 (1). 92/222 (41%) IHC/FISH HER2+ patients were re-classified as BP Luminal (67) or BP Basal (25). 7/164 (4%) IHC/FISH triple negative (TN) patients were re-classified as BP Luminal (5) or BP HER2 (2). NCT pCR rates were 3% in Luminal A and 9% in Luminal B patients versus 10% pCR in IHC/FISH luminal patients. The NCT pCR rate was 54% in BP HER2 patients. This is significantly superior (p = 0.02) to the pCR rate in IHC/FISH HER2+ patients (40%). BP Basal and IHC/FISH TN had a pCR rate of 35%. Functional BP subtyping divided the 137 IHC/FISH triple positive patients into two major subgroups: BP Luminal (n = 66, pCR = 11%) and BP HER2 (n = 60, pCR = 45%).11 patients were re-classified as BP Basal with pCR = 45%. Conclusions: Molecular subtyping using BP leads to a reclassification of 23% of tumors. The re-classification is most prominent in classically assessed triple positive patients where 48% of patients are re-assigned to the less responsive BP Luminal-type group vs. 44% of patients assigned to the responsive BP HER2-type group. These findings confirm the more accurate identification of molecular subgroups for treatment decision by BluePrint functional subtype classifier. Clinical trial information: NCT01479101.

Discordance between molecular subtyping from pre- and post-neoadjuvant chemotherapy (NACT) biopsy specimens in a Brazilian breast cancer cohort.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12649-e12649
Author(s):  
Monique Celeste Tavares ◽  
Luciana de Moura Leite ◽  
Marcelle Goldner Cesca ◽  
Poliana de Andrade ◽  
Rafaela Pirolli ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Neoadjuvant Chemotherapy ◽  
Triple Negative ◽  
Molecular Subtype ◽  
Her2 Amplification ◽  
Luminal A ◽  
Molecular Subtyping ◽  
Luminal B ◽  
Biopsy Specimens

e12649 Background: Discordance between immunohistochemistry (IHC) and molecular subtyping from pre and post neoadjuvant chemotherapy (NACT) biopsy specimens in breast cancer (BC) patients (pts) varies in the literature. This information could have prognostic and treatment implications. To evaluate the clinicopathologic characteristics and prognostic factors in pts with localized breast cancer treated with NACT who had IHC repeated in the post treatment biopsies. Methods: We retrospectively reviewed all BC pts treated with NACT at our service (2007 – 2018). Descriptive statistics were used to describe the population. Survival curves were estimated by Kaplan-Maier method, prognostic factors adjusted by Cox regression model. Results: 607 consecutive pts were treated with NACT at our service. From those, 178 (29.3%) had a pathological complete response, 420 (69.2%) had residual disease and 9 (1.5%) had an unknown status. For 95 pts, the IHC was repeated in the pathological specimen, with a change in the molecular subtype in 26 (27.3%) cases. 10 luminal pts lost the hormonal receptor expression and changed to triple negative, 6 luminal B became luminal A, 3 luminal A became luminal B, 6 pts lost the her2 amplification and 1 pt gained a her2 amplification. This 95 pts cohort had a median desease free survival (DFS) of 71 months (m) and an overall survival (OS) of 137m. Pts who had a change in their molecular subtype after NACT had a DFS of 52 m vs 71m (p .26) and OS 86m, not significantly different from those who maintained the same status (p .23). Conclusions: A little more than one quarter of the pts that had repeated post NACT IHC had a change in the molecular subtype, especially with loss of hormonal receptors of luminal tumors, that became triple negative. That did not translated into significantly worse survivals.

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.

First results of the prospective Neoadjuvant Breast Registry Symphony Trial (NBRST).

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e22117-e22117
Author(s):  
Pat W. Whitworth ◽  
Mark Gittleman ◽  
Stephanie Akbari ◽  
Lisette Stork ◽  
Femke De Snoo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Endocrine Therapy ◽  
Complete Response ◽  
Adjuvant Endocrine Therapy ◽  
Excision Biopsy ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Luminal B ◽  
Prior Therapy ◽  
Basal Type

e22117 Background: Classification into molecular subtypes may be important for the selection of therapy for patients with early breast cancer. Previous analyses had shown that breast cancer subtypes have distinct clinical outcome (Sorlie, PNAS 2001; Esserman, BCRT 2011). The aim of the prospective NBRST study is to measure chemosensitivity as defined by pathological 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 18–90 with histologically proven breast cancer, who are scheduled to start neo-adjuvant chemotherapy (CT) or neo-adjuvant endocrine therapy (ET), 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. 500 Patients will be enrolled. Results: 128 Patients (median age 52, range 22-79), T1-4 N0-3, had definitive surgery and the overall pCR rate was 22%.14 (11%) patients are classified as Luminal A-type (BluePrint Luminal/MammaPrint Low Risk) of whom 11 received neo-adjuvant CT; none of these patients had a pCR. While 3 patients received neo-adjuvant ET and all 3 had a PR. 47 (37%) Patients are classified as Luminal B-type (BluePrint Luminal/MammaPrint High Risk). All but 1 patient received neo-adjuvant CT and 4 (9%) had a pCR. 20 (16%) Patients are classified as BluePrint HER2-type and received neo-adjuvant CT plus Trastuzumab; 8 (40%) had a pCR. 47 (37%) Patients are classified as BluePrint Basal-type and received neo-adjuvant CT; 15 (32%) had a pCR. Of the patients with IHC/FISH HER2+ cancer 13/39 (33%) had a pCR and 6/21 (29%) of the patients with IHC/FISH triple negative breast cancer. Conclusions: We observed differences in pCR to neo-adjuvant treatment in groups stratified by BluePrint and MammaPrint. Patients with Luminal A-type breast cancer have a high response to neo-adjuvant endocrine therapy (100% PR) and no pCR to neo-adjuvant CT. While patients with BluePrint HER2-type and Basal-type breast cancer have a high pCR rate to neo-adjuvant CT. Clinical trial information: NCT01479101.

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.

Breast cancer molecular subtypes association with clinical outcomes and race.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e12575-e12575 ◽  
Author(s):  
Ramses F. Sadek ◽  
Li fang Zhang ◽  
Houssein Talal Abdul Sater
Keyword(s):  
Breast Cancer ◽  
Black Women ◽  
Clinical Outcomes ◽  
Cox Regression ◽  
Molecular Subtypes ◽  
Molecular Subtype ◽  
Cancer Stage ◽  
Luminal A ◽  
Luminal B ◽  
Race Disparity

e12575 Background: Breast Cancer (BC) has been classified into four subtypes: Luminal A (LABC), Luminal B (LBBC), Triple negative (TNBC) and HER2-enriched (HER2e). BC mortality in Black women is significantly higher than in Whites and Asians. BC in Blacks has been characterized by higher grade and later stage. Causes of the Black-White BC survival disparity have been investigated, including differences in: diagnostic stage, socioeconomics, and comorbidities. These have led researchers to investigate the differences in tumor molecular subtype and their association with clinical outcomes and races. Methods: This study used the Surveillance, Epidemiology, and End Results – 18 (SEER-18) Registries research data between 2010 and 2013 that included over 212,000 patients. Descriptive statistics, Odds ratios (OR) and 95%Confidence intervals (CI) were used to study the association between BC stage, grade, and mortality and BC molecular subtypes across different races. We employed Cox regression models to explore the race disparity in BC mortality before and after controlling for BC molecular subtype and other clinical and social factors. Results: TNBC had more high grade cancer compared to HER2e subtype (OR, 1.5; CI, 1.3 - 1.8), LBBC (OR, 4.5; CI, 4.0 - 5.0) and LABC (OR, 12.2; CI, 11.2 – 13.3) for Black. BC mortality was higher in TNBC subtype compared to HER2e subtype (OR, 1.3; CI, 1.1 - 1.6), LBBC (OR, 2.4; CI, 2.0 - 2.9), and LABC (OR, 2.8; CI, 2.4 – 3.2) for Blacks. Results are consistent for all races. HER2e subtype had more late cancer stage compare to LBBC (OR, 1.2; CI, 1.0 - 1.4), TNBC (OR, 1.4; CI, 1.2 - 1.6) and LABC (OR, 2.1; CI, 1.8 - 2.4) in Blacks with similar results in all races. BC mortality in Blacks was higher compare with Whites (HR, 1.9; CI, 1.8 - 2.0) and Asian (HR, 2.7; CI, 2.5 - 3.0). After controlling for cancer subtype and other factors in the Cox regression model, the corresponding HRs ware significantly decreased to 1.2 (CI, 1.1 -1.3) and 1.6 (9CI, 1.5 -1.8). Blacks have heighst percent in stage IV and grade higer grade of disease. Conclusions: Molecular subtypes of BC contribute differently to risks of late cancer stage, high cancer grade and BC specific mortality. These differences are consistent in all races. The molecular subtypes and other social and clinical factors may explain part of the BC mortality race disparity.

Breast cancer in Angola, molecular subtypes: The first preliminary study.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e13075-e13075
Author(s):  
Lúcio Lara Santos ◽  
Fernando Miguel ◽  
Lygia Vieira Lopes ◽  
Julio Oliveira ◽  
Eduardo Ferreira ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Molecular Subtype ◽  
Locally Advanced ◽  
Luminal A ◽  
Her2 Positive ◽  
Luminal B ◽  
Therapeutic Decisions ◽  
Ihc Markers

e13075 Background: Women in sub-Saharan African countries, as Angola, are experiencing an increasing burden of aggressive breast cancer. Breast cancer molecular subtypes may enable more accurate diagnoses and support therapeutic decisions, however several studies have suggested that African breast cancers are predominantly hormone receptor poor. We conduct a study, to correlate the clinical pathological profiles and molecular subtypes, according its surrogate immunohistochemistry (IHC) markers, of breast cancer in Luanda, Angola. Methods: From Jan. 2011 to Dec. 30, 2014, 179 consecutive cases of microscopically confirmed invasive breast carcinoma that were evaluable for histology and IHC (ER, PR, HER2, and Ki-67) were classified. However, 21.8% (n = 39) of cases were poorly preserved, therefore it was only possible to study IHC in 140 cases. Results: All patients were female, the median age was 47 years (24-84 years). Invasive ductal carcinoma was the most common type, 91.4% (n = 128), grade 2 (moderately differentiated) was prevalent, 67.1%. Most of the tumours were locally advanced, stage III 65% (n = 91) and stage IV 3.6% (n = 5). In 140 cases studied, 53.2% (n = 74 ) of malignancies were hormone receptors positive, whence 25.7% were luminal A like, 19.3% luminal B like/ HER2 negative, 7.9% luminal B like/HER2 positive, 15.7% HER2 positive and 31,4% were triple-negative. Conclusions: Woman with breast cancer in Luanda-Angola were caracterized by advance stage and younger age at diagnosis of disease. The two predominant molecular subtypes are triple negative and luminal A like. Therefore, determining the molecular subtype using surrogate IHC markers has important treatment and prognostic implications for Angola women with breast cancer.

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 The Relationship between Recurrence Rate and Molecular Subtypes of Breast Cancer in Locally Advance Breast Cancer (LABC) Post Mastectomy: Focus on Comparison of Luminal A and Luminal B

2021 ◽  
Vol 5 (4) ◽  
pp. 877-881
Author(s):  
Eric Hartoyo Salim ◽  
Eddy Herman Tanggo ◽  
Dwi Hari Susilo
Keyword(s):  
Breast Cancer ◽  
Advanced Breast Cancer ◽  
Recurrence Rate ◽  
Molecular Subtype ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Advanced Breast ◽  
Luminal A ◽  
Luminal B ◽  
The Relationship

Background. Breast cancer is the highest prevalence of malignancy for women in Indonesia and important national health problem. Estimated 2 million women developed breast cancer in 2018 with a mortality rate of 14.1 in every 100,000 women. Regarding the relationship between subtypes and breast cancer recurrence Several studies on gene expression have shown several subtypes of breast cancer, including the two most important subtypes, estrogen receptor (ER) positive (Luminal A and Luminal B) and ER negative (Triple negative and Her2 positive). Based on the explanation above, currently there is no data in Soetomo Hospital that discusses the role of breast cancer subtypes as a prognostic factor in determining the recurrence rate in locally advanced breast cancer.Methods. The research design is an associative test using a retrospective cohort observational analytical study design, associating the relationship between tumor subtypes with recurrence in locally advanced breast cancer patients after mastectomy and has received additional therapy according to standard procedures at Dr. Soetomo Surabaya This study used secondary data from the medical records of the Oncology Polyclinic, RSUD Dr. Soetomo Surabaya from 2014 to 2019.Results. The research subjects who have been selected according to inclusion criteria are 214 people, with the proportion in the population of luminal A and luminal B subtypes of 107 people each. Based on this study, it was found that the subtype was positively correlated with recurrence in LABC patients who had undergonecmastectomy with a significance value of p = 0.000 (p <0.05; 99% CI).Conclusion. There is a relationship between the recurrence rate and the molecular subtype of breast cancer in locally advanced breast cancer (LABC) patients after mastectomy at Dr Soetomo Hospital.

Comparison of molecular (BluePrint+MammaPrint) and pathological subtypes for breast cancer among the first 800 patients from the EORTC 10041/BIG 3-04 (MINDACT) trial.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1022-1022
Author(s):  
Giuseppe Viale ◽  
Leen Slaets ◽  
Femke De Snoo ◽  
Laura J. van 't Veer ◽  
Emiel J. Rutgers ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Treatment Decision ◽  
Luminal A ◽  
Luminal Subtype ◽  
Cancer Subtypes ◽  
Luminal B ◽  
Treatment Decision Making ◽  
Main Driver ◽  
Micro Array ◽  
Treatment Plans

1022 Background: Biology has become the main driver of breast cancer therapy. Intrinsic biological subtypes by gene expression profiling have been identified. Pathology can be used to define surrogates of these subtypes but these are not always concordant, which may lead to different treatment plans. We investigated the concordance between BluePrint (BP) + MammaPrint (MP) (micro array based) breast cancer subtypes and pathological surrogates (based on ER, PR, HER2, and Ki67). Contrary to the Perou gene set (evolved into PAM50), BluePrint was trained using pathological data. Methods: Using available data (centrally assessed pathology and genomic) from the MINDACT pilot phase (Rutgers et al 2011) 621 tumors were analyzed. Two pathology classifications were used: one with 4 categories and one with 5 categories (Goldhirsch et al 2011). Based on BP 3 subtypes are formed: Luminal, HER2 and Basal. The Luminal subtype is further split into Luminal A (MP low risk) and Luminal B (MP high risk). Results: See table. Conclusions: All pathological Basal cases are BP Basal, apart from 1 BP HER2 case. Of the BP Basal cases, 15 are not pathological Basal: 1 is Luminal A, 11 are Luminal B (of which 8 are IHC ER/PR borderline (≥1% and < 10%)) and 3 are HER2. All pathological Luminal (A & B) that are BP HER2 are HER2- by TargetPrint. 25 of the 26 pathological HER2+ that are BP Luminal A are ER+. Most discordant cases are seen within the Luminal subtype, indicating that Ki67 discriminates Luminal A vs. B differently than MammaPrint does. The observed subtype discrepancies reveal potential important impact for treatment-decision making. MINDACT will provide important information. [Table: see text]

The effect of margin status and molecular subtype on women with invasive breast cancer treated with breast-conservation therapy.

2014 ◽  
Vol 32 (26_suppl) ◽  
pp. 83-83
Author(s):  
Jared Forrester ◽  
Adam D. Currey ◽  
Bonifride Tuyishimire ◽  
Jonathan Lin ◽  
Amanda L. Kong
Keyword(s):  
Breast Cancer ◽  
Invasive Breast Cancer ◽  
Molecular Subtype ◽  
Tumor Biology ◽  
Breast Conservation ◽  
Margin Status ◽  
Stage I ◽  
Luminal A ◽  
Luminal B ◽  
The Impact

83 Background: A consensus statement was recently published by SSO/ASTRO on margins for stage I and II invasive breast cancer treated with breast conserving surgery (BCS). We examined patients with invasive breast cancer who underwent BCS to determine if margin status and molecular subtype influence outcomes. Methods: We the reviewed charts of 754 Stage I-III breast cancer patients treated with BCS from 2003-2010. Margin status was defined as negative ≥ 2mm, close < 2mm and positive as tumor on ink. Conventional receptor analyses were used as markers for molecular subtype classification (luminal A, luminal B, Her2 positive, and basal). Clinicopathologic variables were tested using the Fisher’s exact, Chi-square, ANOVA F-test, and Kruskal-Wallis tests. A Cox proportional - Hazards model was used to measure the impact of these variables on locoregional recurrence (LRR), breast cancer-specific (BCSS) and overall survival (OS). Results: The median age of the cohort was 58 (range 27-89 years). Most were white (88%), had T1 tumors (76%), luminal A tumors (66%), invasive ductal histology (80%), and were node negative (76%). Of the 754 patients, 26% had close margins, 2% positive margins, and 9% unknown margins. With a median follow-up of 5.2 years, OS was 92%. Twenty eight patients had a LRR with a median time to recurrence of 5.1 years. On multivariate analysis, molecular subtype, pathologic grade (p=0.01), and use of radiation (p<0.0001) were the only significant predictors of LRR. Unknown subtype, compared to Luminal A, was less likely to have a LRR (p=0.04). Basal (p=0.0002), Her2+ (p=0.03), Luminal B (p=0.002) and unknown subtype (p=0.04) had worse BCSS compared to Luminal A tumors. Margins had no impact on LRR or BCSS but those with close margins and unknown margins had worse OS compared to negative margins (p=0.01, p=0.007). Variables predictive of OS were margins, age, race, node status, chemotherapy, anti-endocrine therapy, and radiation. Conclusions: In this cohort treated with BCS, molecular subtype was a predictor of LRR and BCSS but not OS. Margin status did not impact LRR and BCSS. Although margin status was a predictor of OS, tumor biology remains the significant determinant of outcome.

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