Molecular classification system identifies invasive breast carcinoma patients who are most likely and those who are least likely to achieve a complete pathologic response after neoadjuvant chemotherapy

Luminal B, Human Epidermal Growth Factor Receptor 2 (HER2/neu), and Triple-Negative Breast Cancers Associated With a Better Chemotherapy Response Than Luminal A Breast Cancers in Postneoadjuvant Settings

Background Breast cancer is a heterogeneous disease with many histological and molecular/intrinsic breast cancer subtypes. Intrinsic breast cancer subtypes include luminal A, luminal B, human epidermal growth factor receptor 2 (HER2/neu), and triple-negative subtypes. The intrinsic breast cancer typing is based on the expression of estrogen receptor (ER), progesterone receptor (PR), HER2/neu, and Ki67-labeling index. One of these patients' foremost prognostic factors upon surgical resection is a response to neoadjuvant chemotherapy. The presence of a pathologically complete response (pCR) indicates a favorable patient outcome compared with a pathologically partial response (pPR). In this study, we compared the neoadjuvant chemotherapy response in breast cancer in different intrinsic breast cancer subtypes. Methodology It was a retrospective cross-sectional study conducted in the Department of Histopathology, Liaquat National Hospital, from January 2019 to December 2022, over three years. A total of 287 post-neoadjuvant chemotherapy cases of breast cancer were included. Anthracyclines and taxanes, coupled with or without anti-HER2/neu therapy, have been used in the neoadjuvant chemotherapy treatment setting contingent upon the patients' HER2/neu status. The post-chemotherapy response was assessed pathologically and categorized into pCR and pPR. Results The mean age of the patients was 47.90 ± 10.34 years, with a mean tumor size and Ki67 index of 5.36 ± 2.59 cm and 36.30 ± 22.14%, respectively. Invasive breast carcinoma of no special type (IBC-NST) made up 88.2% of cases, while grade 2 carcinomas made up 45.5%. The majority of tumors (42.7%) belonged to tumor (T) stage T2, and nodal metastasis was detected in 59.7% of patients. The intrinsic breast cancer subtypes luminal B (40.6%) and triple negative (33.3%) were the most prevalent, followed by luminal A (15.8%) and HER2/neu (10.3%). In 81 cases (24.5%), pCR was detected. The association of post-neoadjuvant chemotherapy response with intrinsic breast cancer subtypes showed a significant difference (P < 0.001). The highest frequency of pCR was noted in HER2/neu cancers (58.8%), followed by luminal B (25.4%) and triple negative (23.6%). Regarding age, T-stage, tumor grade, and histological type of carcinoma, there was no discernible difference between pCR and pPR. Conversely, a significant association was noted for the Ki67 index. A Ki67 index higher than 25% showed a significantly higher frequency of pCR. Conclusions In postchemotherapy specimens, the HER2/neu breast cancer subtype substantially displayed higher pCR, followed by luminal B and triple-negative subtypes. After identifying the patients' subtypes, intrinsic subtyping can help determine the prognosis and anticipated response to chemotherapy. Furthermore, prechemotherapy breast specimens with high Ki67 index values have shown a direct association with neoadjuvant chemotherapy response.

Assessing the Correlation of Rate of Pathological Complete Response and Outcome in Post Neoadjuvant Chemotherapy Setting and Molecular Subtypes of Breast Cancer

Background Neoadjuvant chemotherapy (NAC) is being widely used in treating breast cancer (BC). This study aimed to analyze the correlation between clinicopathological features, immunohistochemistry (IHC)-based molecular subtypes, and the pathological response to NAC and its relationship with disease-free survival (DFS) and overall survival (OS). Materials and methods A retrospective analysis of 211 breast cancer patients who received NAC between 2008 and 2018 was performed. Tumors were classified by IHC into luminal A, luminal B, human epidermal growth factor receptor 2 (HER2)-enriched, and triple-negative subtypes. The chi-square test was used to assess the association between pathological response and clinicopathological parameters. Cox regression analysis was used to assess factors related to DFS and OS. Results Post NAC, 19.4% of patients achieved a pathologic complete response (pCR). Estrogen receptor (ER), progesterone receptor (PR), HER2 (p<0.001, 0.005, and 0.02), Ki67 (p=0.03), molecular subtypes (p<0.001), T stage (p=0.04), and N stage (p=0.01) were significantly associated with pathological response. The rate of pCR was highest among HER2-enriched and triple-negative tumors (45.2% and 28%, respectively) with OR=0.13 and p<0.001 for the HER2-enriched subtype. Patients with pCR were 61% less likely to develop metastasis (adjusted hazard ratio [aHR]=0.39, p=0.06, 95% CI=0.14-1.06) and were significantly associated with better OS (aHR=0.07, p=0.02, 95% CI=0.01-0.61). Patients who were ≤40 years old (aHR=2.1, p=0.01), with T4 (aHR=3.4, p=0.02), grade 3 (aHR=2.5, p=0.01), and node-positive disease (HR=2.24, p=0.02) were at an increased risk of developing metastasis. High Ki67 was found to be significantly associated with better DFS (p=0.006). Conclusion HER2-enriched and triple-negative BC were associated with a higher rate of pCR. Patients with pCR had significantly better DFS and OS. Younger age, advanced stage, higher grade, and lymph node involvement were risk factors for metastasis.

The relevance between hypoxia-dependent spatial transcriptomics and the prognosis and efficacy of immunotherapy in claudin-low breast cancer

Introduction

Hypoxia is an important characteristic of solid tumors. However, spatial transcriptomics (ST) of hypoxia-associated heterogeneity is not clear.

Methods

This study integrated Spatial Transcriptomics (ST) with immunofluorescence to demonstrate their spatial distribution in human claudin-low breast cancer MDA-MB-231 engraft. ST spots were clustered with differentially expression genes. The data were combined with hypoxia-specific marker and angiogenesis marker-labeled serial sections to indicate the spatial distribution of hypoxia and hypoxia-inducted transcriptional profile. Moreover, marker genes, cluster-specific hypoxia genes, and their co-essential relationship were identified and mapped in every clusters. The clinicopathological association of marker genes of hypoxia-dependent spatial clusters was explored in 1904 breast cancers from METABRIC database.

Results

The tumor from center to periphery were enriched into five hypoxia-dependent subgroups with differentially expressed genes, which were matched to necrosis, necrosis periphery, hypoxic tumor, adaptive survival tumor, and invasive tumor, respectively. Different subgroups demonstrated distinct hypoxia condition and spatial heterogeneity in biological behavior and signaling pathways. Cox regression analysis showed that the invasive tumor (cluster 0) and hypoxic tumor (cluster 6) score could be served as independent prognostic factors in claudin-low patients. KM analysis indicated that high invasive tumor (cluster 0) and hypoxic tumor (cluster 6) score was associated with poor prognoses of claudin-low patients. Further analysis showed that hypoxia-induced immune checkpoints, such as CD276 and NRP1, upregulation in invasive tumor to block infiltration and activation of B cells and CD8+ T cells to change tumor immune microenvironment.

Discussion

This study reveals hypoxia-dependent spatial heterogeneity in claudin-low breast cancer and highlights its potential value as a predictive biomarker of clinical outcomes and immunotherapy response. The molecules found in this study also provided potential molecular mechanisms and therapeutic targets for subsequent studies.

Imaging Features of Breast Cancer Subtypes on Mammography and Ultrasonography: an Analysis of 479 Patients

To compare features of clinically defined subtypes of breast cancer on mammography (MG) and ultrasonography (USG). After obtaining approval from the institute ethics committee, a retrospective observational study was performed on biopsy-proven breast cancer patients who underwent baseline MG from 2016 to 2020. MG and USG features were evaluated and the patients were classified based on immunohistochemistry profile into luminal like (LL)-oestrogen receptor (ER)/progesterone receptor (PR) + , Her2neu-; basal like (BL)-ER/PR-, Her2neu-; Her2 like (HL)-Her2neu + . A total of 479 patients (mean age, 51.4 ± 11.7 years; all females) were included: LL-198 (41.3%), BL-121 (25.2%) and HL-160 (33.3%). On MG, round shape (21/115, 18.3%, p < 0.001); circumscribed (16/115, 13.9%, p < 0.001) and microlobulated margins (28/115, 24.4%) were associated with BL tumours. Associated suspicious calcifications (96/160, 60%, p < 0.001) and skin thickening or retraction (75/149, 50.3%, p < 0.001) were more common in HL. On USG, round shape (12/95, 12.8%, p = 0.005); circumscribed (8/94, 8.5%) and microlobulated margins (44/94, 46.8%) and posterior acoustic enhancement (7/95, 7.5%, p = 0.012) were associated with BL. The logistic regression analysis revealed that spiculated margins on MG favoured LL (OR: 8.5, p = 0.001); round shape (OR: 6.8), circumscribed (OR: 10.8) or microlobulated margins (OR: 3.5) (p < 0.001 for each) favoured BL; whereas associated features of calcifications (OR: 3.3) (p = 0.019) and skin retraction or thickening (OR: 1.8) (p < 0.001) favoured HL. On USG, circumscribed (OR: 5.9, p = 0.005) or microlobulated margins (OR: 3, p < 0.001) and posterior acoustic enhancement (OR: 9.5, p = 0.006) favoured BL. Clinically defined subtypes of breast cancer show significant differences in the imaging appearances on mammography and USG. BL tumours may not show the typical imaging features of malignancy, necessitating clinicopathological correlation for accurate diagnosis.

Differences in sensitivity to neoadjuvant chemotherapy among invasive lobular and ductal carcinoma of the breast and implications on surgery-A systematic review and meta-analysis

Meta-analysis of >87,000 patients demonstrates that patients with invasive lobular carcinoma of the breast are far less likely to achieve pCR of the breast or axilla compared to their ductal counterparts, receive less BCS and more frequently return positive margins.

BACKGROUND

Neoadjuvant chemotherapy (NACT) facilitates tumour downstaging, increases breast conserving surgery (BCS) and assesses tumour chemosensitivity. Despite clinicopathological differences in Invasive Ductal Carcinoma (IDC) and Invasive Lobular Carcinoma (ILC), decision making surrounding the use NACT does not take account of histological differences.

AIM

To determine the impact NACT on pathological complete response (pCR), breast conserving surgery (BCS), margin status and axillary pCR in ILC and IDC.

METHODS

A systematic review was performed in accordance with the PRISMA guidelines. Studies reporting outcomes among ILC and IDCs following NACT were identified. Dichotomous variables were pooled as odds ratios (ORs) with 95% confidence intervals_(CI) using the Mantel-Haenszel method. P-values <0.05 were statistically significant.

RESULTS

40 studies including 87,303 (7596 ILC [8.7%]and 79,708 IDC [91.3%]) patients were available for analysis. Mean age at diagnosis was 54.9 vs. 50.9 years for ILC and IDC, respectively. IDCs were significantly more likely to achieve pCR (22.1% v 7.4%, OR: 3.03 [95% CI 2.5-3.68] p < 0.00001), axillary pCR (23.6% vs. 13.4%, OR: 2.01 [95% CI 1.77-2.28] p < 0.00001) and receive BCS (45.7% vs. 33.3%, OR 2.14 [95% CI 1.87-2.45] p < 0.00001) versus ILCs. ILCs were significantly more likely to have positive margins at the time of surgery (36% vs 13.5%, OR 4.84 [95% CI 2.88-8.15] p < 0.00001).

CONCLUSION

This is the largest study comparing the impact of NACT among ILC and IDC with respect to pCR and BCS. ILC has different outcomes to IDC following NACT and incorporate it into treatment decisions and future clinical guidelines.

Intra- and peritumoral radiomics on assessment of breast cancer molecular subtypes based on mammography and MRI

PURPOSE

This study aimed to investigate the efficacy of digital mammography (DM), digital breast tomosynthesis (DBT), diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) MRI separately and combined in the prediction of molecular subtypes of breast cancer.

METHODS

A total of 241 patients were enrolled and underwent breast MD, DBT, DW and DCE scans. Radiomics features were calculated from intra- and peritumoral regions, and selected with least absolute shrinkage and selection operator (LASSO) regression to develop radiomics signatures (RSs). Prediction performance of intra- and peritumoral regions in the four modalities were evaluated and compared with area under the receiver-operating characteristic (ROC) curve (AUC), specificity and sensitivity as comparison metrics.

RESULTS

The RSs derived from combined intra- and peritumoral regions improved prediction AUCs compared with those from intra- or peritumoral regions alone. DM plus DBT generated better AUCs than the DW plus DCE on predicting Luminal A and Luminal B in the training (Luminal A: 0.859 and 0.805; Luminal B: 0.773 and 0.747) and validation (Luminal A: 0.906 and 0.853; Luminal B: 0.807 and 0.784) cohort. For the prediction of HER2-enriched and TN, the DW plus DCE yielded better AUCs than the DM plus DBT in the training (HER2-enriched: 0.954 and 0.857; TN: 0.877 and 0.802) and validation (HER2-enriched: 0.974 and 0.907; TN: 0.938 and 0.874) cohort.

CONCLUSIONS

Peritumoral regions can provide complementary information to intratumoral regions for the prediction of molecular subtypes. Compared with MRI, the mammography showed higher AUCs for the prediction of Luminal A and B, but lower AUCs for the prediction of HER2-enriched and TN.

Options to Determine Pathological Response of Axillary Lymph Node Metastasis after Neoadjuvant Chemotherapy in Advanced Breast Cancer

Simple Summary

Neoadjuvant therapy instituted prior to definitive surgery helps to reduce the tumor burden in the breast and axilla. De-escalation of surgery in the axilla may allow removal of just the involved nodes and sentinel nodes for determination of pathological response of previously biopsy proven positive axillary nodes. In order to attain the optimal surgical results with minimum risk of complications, it is important to choose the accurate method of identification of these positive nodes. In this review, we examine the different options to assure identification of the nodes deemed positive before neoadjuvant therapy, at the time of definitive surgery.

Abstract

Increasing use of neoadjuvant therapy in large tumors or node positive disease in breast cancer patients or hormone negative and HER 2 overexpressing cancers often gives rise to complete clinical response, with resolution of disease in the breast and axilla. These results have raised important questions to deescalate loco-regional surgical treatment options with minimum recurrence risk and treatment related morbidity. Although there is excellent prognosis following clinical response, the primary goal of surgery still remains to confirm complete pathological response in the biopsied node that was previously positive and now clinically/radiologically negative (ycN0). Biopsied lymph nodes are often marked with a clip to allow future identification at the time of definitive surgery. The goal of lymph node surgery in oncology is that it should be accurate, hence the significance of localizing the biopsied node. This article aims to review the different options to localize the deemed positive node at the time of definitive surgery, in order to help determine pathological response after neoadjuvant therapy.

Proteomic patterns associated with response to breast cancer neoadjuvant treatment

Tumor relapse as a consequence of chemotherapy resistance is a major clinical challenge in advanced stage breast tumors. To identify processes associated with poor clinical outcome, we took a mass spectrometry-based proteomic approach and analyzed a breast cancer cohort of 113 formalin-fixed paraffin-embedded samples. Proteomic profiling of matched tumors before and after chemotherapy, and tumor-adjacent normal tissue, all from the same patients, allowed us to define eight patterns of protein level changes, two of which correlate to better chemotherapy response. Supervised analysis identified two proteins of proline biosynthesis pathway, PYCR1 and ALDH18A1, that were significantly associated with resistance to treatment based on pattern dominance. Weighted gene correlation network analysis of post-treatment samples revealed that these proteins are associated with tumor relapse and affect patient survival. Functional analysis showed that knockdown of PYCR1 reduced invasion and migration capabilities of breast cancer cell lines. PYCR1 knockout significantly reduced tumor burden and increased drug sensitivity of orthotopically injected ER-positive tumor in vivo, thus emphasizing the role of PYCR1 in resistance to chemotherapy.

Outcome of patients with breast cancer in the oldest old (≥80 years)

PURPOSE

In the present study, we present a large institutional study to determine the influence of age≥ 80 years on breast cancer presentation and prognosis.

METHODS

The study is a retrospective analysis of our prospectively maintained breast cancer database study using data from of women managed from January 2007 through December 2013. Clinicopathologic characteristics were correlated with outcomes according to age (<80 years and ≥ 80 years).

RESULTS

During the study period, 2083 women with invasive breast cancer were included of which 160 women aged ≥ 80 years (7.7 %). Overall survival was lower in the oldest old than in younger counterparts (p < 0.0001) as was distant metastasis free survival (p = 0.004). Differences in management included more radical surgeries and less chemotherapy and radiotherapy in case of age≥ 80 years. By multivariate analysis, age ≥ 80 years was an independent predictive factor of poor overall survival.

CONCLUSION

In the present study, age ≥ 80 years was an independent predictive factor of poor overall survival.

Breast Carcinoma: Updates in Molecular Profiling 2018

The most significant contribution of molecular subtyping of breast carcinomas has been the identification of estrogen-positive and estrogen-negative tumor subtypes. Knowledge of genetic alterations in these tumors will help clinicians identify novel therapeutic targets. Understanding the progression pathways involved in the transition of in situ carcinoma to invasive carcinoma might lead to efficient risk stratification in these patients. The Cancer Genome Analysis Network has collected genomic and epigenomic data to provide comprehensive information regarding carcinogenesis and pathway interactions. Such information improves understanding of the disease process and also provides more accurate information toward identifying targetable mutations for treatment.

Restaging the axilla after neo-adjuvant chemotherapy for breast cancer: Predictive factors for residual metastatic lymph node disease with negative imaging findings

To evaluate predictive factors for residual metastatic axillary lymph node (ALN) disease in patients with negative imaging findings after neo-adjuvant chemotherapy (NAC) for breast cancer. From January 2011 to December 2015, 206 patients underwent imaging including ultrasonography, MRI, and PET/CT for restaging the axilla after NAC. Data collected included preoperative information regarding histologic grade, hormone receptor (HR) status, and human epidermal growth factor receptor 2 (HER2) status. Multivariate logistic regression analysis was performed to compare patients with and without residual metastatic ALN disease among patients who showed negative imaging findings after NAC. Of the 181 and 25 patients with initially node-positive and node-negative disease, 131 (72.4%) and 23 (92.0%), respectively, showed negative imaging findings after NAC. Among these 131 and 23 patients, 53 (40.5%) and two patients (8.7%), respectively, had residual metastatic ALN disease. Low to moderate tumor grade (odds ratio [OR] = 5.2, P = 0.009), positive HR status (OR = 6.6, P = 0.003), and negative HER2 status (OR = 2.6, P = 0.048) were associated with residual metastatic ALN disease. Low to moderate histologic grade, positive HR status, and negative HER2 status may serve as predictors of residual metastatic ALN disease in patients with negative imaging findings after NAC for breast cancer.

RESPONDER - diagnosis of pathological complete response by vacuum-assisted biopsy after neoadjuvant chemotherapy in breast Cancer - a multicenter, confirmative, one-armed, intra-individually-controlled, open, diagnostic trial

Background

Neoadjuvant chemotherapy (NACT) is a standard approach of the multidisciplinary treatment of breast cancer. Depending on the biological subtype a pathological complete response in the breast (bpCR) can be achieved in up to 60% of the patients. However, only limited accuracy can be reached when using imaging for prediction of bpCR prior to surgery. Due to this diagnostic uncertainty, surgery after NACT is considered to be obligatory for all patients in order to either completely remove residual disease or to diagnose a bpCR histologically. The purpose of this trial is to evaluate the accuracy of a vacuum-assisted biopsy (VAB) to diagnose a bpCR after NACT prior to surgery.

Methods

This study is a multicenter, confirmative, one-armed, intra-individually-controlled, open, diagnostic trial. The study will take place at 21 trial sites in Germany. Six hundred female patients with breast cancer after completed NACT showing at least a partial response to NACT treatment will be enrolled. A vacuum-assisted biopsy (VAB) guided either by ultrasound or mammography will be performed followed by histopathological evaluation of the VAB specimen before standard, guideline-adherent breast surgery. The study is designed to prove that the false negative rate of the VAB is below 10%.

Discussion

As a bpCR is becoming a more frequent result after NACT, the question arises whether breast surgery is therapeutically necessary in such cases. To study this subject further, it will be crucial to develop a reliable test to diagnose a bpCR without surgery.

During the study we anticipate possible problems in patient recruitment as the VAB intervention does not provide participating patients with any personal benefit. Hence, a proficient informed consent discussion with the patient and a detailed explanation of the study aim will be crucial for patient recruitment. Another critical issue is the histopathological VAB evaluation of a non-tumorous specimen as this may have been taken either from the former tumor region (bpCR) or outside of the (former) tumor region (non-representative VAB, sampling error).

Trial registration

The trial has been registered at clinicaltrials.gov with the identifier NCT02948764 on October 28, 2016 and at the German Clinical Trials Register (DRKS00011761) on February 20, 2017. The date of enrolment of the first participant to the trial was on March 8, 2017.

Lymphovascular invasion can be better than pathologic complete response to predict prognosis in breast cancer treated with neoadjuvant chemotherapy

Lymphovascular invasion (LVI) has been a predictor of worse survival outcomes in breast cancer. However, the role of LVI compared than pathologic complete response (pCR) following neoadjuvant chemotherapy (NAC) remains unclear. The aim of this study was to examine the association between LVI and survival outcomes and clinicopathological features in patients with breast cancer treated with NAC. We retrospectively analyzed 187 patients with breast cancer treated with NAC and surgery between 2005 and 2013 in our institution. Kaplan-Meier analyses were used to assess recurrence-free survival (RFS) and overall survival (OS). Median follow-up was 57.9 months. Mastectomy (vs breast conserving surgery [BCS]; hazard ratio [HR], 1.791; 95% confidence interval [CI], 1.022-3.139; P = .042), ypN1-3 stage (vs ypN0 stage; HR, 2.561; 95% CI, 1.247-5.261; P = .010), and LVI (vs no LVI; HR, 2.041; 95% CI, 1.170-3.562; P = .012) were associated with worse RFS. Mastectomy (vs BCS; HR, 2.768; 95% CI, 1.173-6.535; P = .020), LVI (vs no LVI; HR, 3.474; 95% CI, 1.646-7.332, P = .001), and human epidermal growth factor receptor 2 overexpression type (vs luminal A type; HR, 11.360; 95% CI, 1.501-85.972; P = .019) were associated with worse OS. Patients with LVI and hormone receptor-negative cancer had the worst RFS (P < .001) and OS (P < .001). LVI more than pCR in surgical breast cancer specimens obtained after NAC was a significant independent prognostic factor. Patients with hormonal receptor-negative cancer and LVI had unfavorable survival outcomes. We suggest that patients with hormone receptor-negative cancer and LVI should receive short-term follow-up and appropriate management.

Ultrasound-based prediction of pathologic response to neoadjuvant chemotherapy in breast cancer patients

BACKGROUND

Accuracy in predicting pathologic response to neoadjuvant chemotherapy (NACT) in breast cancer is essential for the determination of therapeutic efficacy and surgical planning. This study aimed to assess the precision of ultrasound (US) for predicting pathologic complete response (pCR = ypT0) after NACT.

METHODS

This retrospective mono-center study included 124 invasive breast cancer patients treated with NACT. Patients received US before and after NACT with documentation of clinical partial response (cPR) and clinical complete response (cCR). Post-operatively, the pathologic response was defined as absence of tumor cells (ypT0), presence of non-invasive tumor cells (ypTis) or invasive tumor cells (ypTinv). Sensitivity and specificity of US as well as false negative rate (FNR), negative predictive value (NPV) and positive predictive value (PPV) were analysed for receptor subtypes. A multivariable logistic regression model assessed the influence of patient- and tumor-associated covariates as predictors for pCR.

RESULTS

50 patients (40.3%) achieved pCR, 39 (78.0%) had a corresponding cCR. Overall sensitivity was 60.8% and specificity 78.0% for US-predicted remission. NPV and FNR differed substantially between subtypes. NPV was highest (75.0%) in triple negative (TN) subtype, while FNR was low (37.5%). Therefore, pathological response was most accurately predicted for TN cancers. NPV for human-epidermal-growth-factor-receptor-2-positive/hormone-receptor-positive (HER2+/HR+) was 55.6%, for HER2+/HR- 64.3% and for HER2-/HR+ 16.7%, FNRs were 40.0%, 71.4% and 32.3%, respectively. Receptor subtypes impacted pCR significantly (p-value: 0.0033), cCR correlated positively with pCR (p-value: 0.0026).

CONCLUSION

US imaging is insufficient to predict pCR with adequate accuracy. Receptor subtypes, however, affect diagnostic precision of US and pathologic outcome.

[Presentation and outcome of breast cancer under 40 years - A French monocentric study]

OBJECTIVE

The aim of our study was to evaluate the impact of young age on breast cancer presentation and women's prognosis.

METHODS

We performed a descriptive retrospective study in the university teaching hospital of Tours from January 2007 to December 2013. All women managed for an invasive breast cancer were included. The population was divided in 2 groups according to age: ≤40 years and>40 years. We studied differences in histological, management and outcome characteristics.

RESULTS

Two thousand and eighty three women with an invasive breast cancer were included. A hundred and fifty five in the group of women with an age ≤40 years and 1928 in the group of women with an age>40 years. Histological characteristics of breast cancer in younger women were worse than in their older counterparts (with more aggressive features: grade 3, negative hormone receptors, positive Her 2 status, triple negative molecular sub-type). Overall survival was lower in young women than in women age>40 years (P=0.05),as was recurrence free survival (P<0.001), locoregional recurrence free survival (P=0.02) and distant metastasis free survival(P<0.001). Age≤40 years was an independent factor predictive of poor recurrence free survival.

CONCLUSION

In our study we found an impact of age≤40 years on invasive breast cancer presentation and prognosis.

Diagnostic performance of breast ultrasonography and MRI in the prediction of lymph node status after neoadjuvant chemotherapy for breast cancer

Background Neoadjuvant chemotherapy (NAC) is widely used to treat breast cancer. Sentinel lymph node biopsy has replaced axillary lymph node dissection in patients who convert to node-negative status after NAC. However, few studies have evaluated the diagnostic performance of ultrasonography and magnetic resonance imaging (MRI) in determining axillary lymph node status after NAC. Purpose To evaluate the diagnostic performance of breast ultrasonography and MRI in determining residual metastatic axillary lymph node status after NAC for breast cancer and to identify histopathological factors affecting radiological performance. Material and Methods This study included 157 patients who underwent initial and follow-up preoperative breast ultrasonography and MRI before NAC between January and December 2010. The sensitivity, specificity, negative and positive predictive values, and accuracy of ultrasonography, MRI, and their combinations were evaluated. Results The sensitivity of ultrasonography, MRI, and their combination in post-NAC axillary imaging was 60.00%, 57.33%, and 65.33%, respectively; the specificity was 60.47%, 72.09%, and 60.47%, respectively. The positive predictive value was highest with MRI (78.18%). On univariate analysis, positive estrogen receptor status was associated with misdiagnosis by ultrasonography ( P = 0.002), MRI ( P = 0.002), and their combination ( P = 0.001). When residual metastatic lymph nodes were present, lymph nodes with macrometastasis (>2.0 mm) were associated with correct ultrasonography-based diagnosis ( P = 0.0027). Conclusion Imaging assists in predicting axillary lymph node status in patients undergoing NAC; however, is imprudent to omit sentinel lymph node biopsy or axillary lymph node dissection for staging in women determined to be node-positive.

[Performances of breast magnetic resonance imaging in the context of neoadjuvant chemotherapy for breast cancer to predict pathological complete response]

PURPOSE

The objective of this work was to estimate the reliability of MRI after neoadjuvant chemotherapy (NAC) for breast cancer to detect a residual tumour by comparing the tumoral size measured by MRI with the histological size. We also estimated the concordance of diagnosis of complete pathological response between histological examination and MRI.

MATERIALS AND METHODS

We included all the patients who received a neoadjuvant chemotherapy for breast cancer in the university hospital of Tours from January, 2008 to December 31st, 2012 and in the comprehensive cancer centre of Rennes from January, 2008 till May 31st 201. We considered that the pathological response was complete (pCR) when there was no residual invasive tumour in the mammary surgical specimen.

RESULTS

Two hundred and fifty-one women who received NAC for a non-metastatic breast cancer were included in the study: 103 in Tours and 148 in Rennes. Two women (0.8%) refused breast surgery whatever the type. One hundred and twenty-three (49%) women had a breast conservative surgery. One hundred and fifteen (45.8%) had a mastectomy and 11 (4.4%) had breast conservative surgery followed by mastectomy for positive margins. A complete pathological response was present in 54 cases (21.5%). We did not found any significant difference between characteristics of patients with pCR or not.

CONCLUSION

Breast MRI remains the most performing examination to evaluate the initial tumoral size and the residual tumour after NAC, but does not add any value at mid or at the end of treatment for the patients to whom a mastectomy is decided at presentation. The correlation between the breast MRI and the histology size is not perfect, but at the moment, MRI stills of the most performing examination to predict the pCR.

Immunohistochemical Surrogates for Molecular Classification of Breast Carcinoma: A 2015 Update

CONTEXT

-The pioneering works on molecular classification (MC) by Perou and Sorlie et al in the early 2000s using global gene expression profiling identified 5 intrinsic subtypes of invasive breast cancers (IBCs): luminal A, luminal B, normal breast-like, HER2-enriched, and basal-like subtypes, each unique in incidence, survival, and response to therapy. Because the application of gene expression profiling in daily practice is not economical or practical at the present time, many investigators have studied the use of immunohistochemical (IHC) surrogates as a substitute for determining the MC of IBC.

OBJECTIVE

-To discuss the continuing efforts that have been made to develop clinically significant and readily available IHC surrogates for the MC of IBC.

DATA SOURCES

-Data were obtained from pertinent peer-reviewed English-language literature.

CONCLUSIONS

-The most commonly used IHC surrogates are estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER2), dividing IBC into luminal, HER2, and triple-negative subtypes. The addition of Ki-67, cytokeratin 5, and epidermal growth factor receptor (EGFR) separates luminal B from luminal A subtypes, and basal-like subtype from triple-negative breast cancer. More recently, biomarkers such as androgen receptor and p53 have been shown to further stratify these molecular subtypes. Although many studies of IHC-based MC have shown clinical significance similar to gene expression profiling-defined MC, its critical limitations are: (1) a lack of standardization in terminology, (2) a lack of standardization in biomarkers used for each subtype, and (3) the lack of a uniform cutoff for each biomarker. A panel of IHC surrogates for each subtype of IBC is proposed.

Neoadjuvant Systemic Therapy in Breast Cancer: Association of Contrast-enhanced MR Imaging Findings, Diffusion-weighted Imaging Findings, and Tumor Subtype with Tumor Response

Purpose To investigate the performance of tumor subtype and various magnetic resonance (MR) imaging parameters in the assessment of tumor response to neoadjuvant systemic therapy (NST) in patients with breast cancer and to outline a model of pathologic response, considering pathologic complete response (pCR) as the complete absence of any residual invasive cancer or ductal carcinoma in situ (DCIS). Materials and Methods This was an institutional review board-approved retrospective study, with waiver of the need to obtain informed consent. From November 2009 to December 2014, 111 patients with histopathologically confirmed invasive breast cancer who were undergoing NST were included (mean age, 54 years; range, 27-84 years). Breast MR imaging was performed before and after treatment. Presence of late enhancement was assessed. Apparent diffusion coefficients (ADCs) were obtained by using two different methods. ADC ratio (mean posttreatment ADC/mean pretreatment ADC) was calculated. pCR was defined as absence of any residual invasive cancer or DCIS. Multivariate regression analysis and receiver operating characteristic analysis were performed. Results According to their immunohistochemical (IHC) profile, tumors were classified as human epidermal growth factor receptor 2 (HER2) positive (n = 51), estrogen receptor (ER) positive/HER2 negative (n = 40), and triple negative (n = 20). pCR was achieved in 19% (21 of 111) of cases; 86% of them were triple-negative or HER2-positive subtypes. Absence of late enhancement at posttreatment MR imaging was significantly associated with pCR (area under the curve [AUC], 0.85). Mean ADC ratio significantly increased when pCR was achieved (P < .001). A κ value of 0.479 was found for late enhancement (P < .001), and the intraclass correlation coefficient for ADCs was 0.788 (P < .001). Good correlation of ADCs obtained with the single-value method and those obtained with the mean-value methods was observed. The model combining the IHC subtype, ADC ratio, and late enhancement had the highest association with pathologic response, achieving an AUC of 0.92 (95% confidence interval: 0.86, 0.97). Conclusion Triple-negative or HER2-positive tumors showing absence of late enhancement and high ADC ratio after NST are associated with pCR. ^© RSNA, 2016 Online supplemental material is available for this article.

Anthracycline-Free Neoadjuvant Chemotherapy Ensures Higher Rates of Pathologic Complete Response in Breast Cancer

PURPOSE

Neoadjuvant chemotherapy (NCT) is a standard of care for locally advanced and initially inoperable breast cancer. NCT can test chemotherapy efficacy and can be followed by breast-conserving surgery. Considering taxanes as one of the most effective agents, we analyzed the efficacy of a neoadjuvant schedule without anthracyclines and based only on taxanes and carboplatin, trying to avoid cardiotoxicity, which is the most serious side effect correlated with anthracyclines.

PATIENTS AND METHODS

We enrolled 61 patients with breast cancer, belonging to 4 subgroups, according to molecular phenotypes: 24 triple-negative/basal-like, 13 HER2-like, 20 luminal B, and 4 luminal A. All patients underwent weekly chemotherapy with carboplatin AUC2, paclitaxel 80 mg/m², with trastuzumab (in case of HER2 positivity) 2 mg/kg, except for luminal A patients, who underwent only hormonal therapy. Among 61 patients, 26 (43%) received modified radical mastectomy and 35 (57%) received breast-conserving surgery.

RESULTS

The patients obtaining pathologic complete response (pCR) were 20 (83%) of 24 triple-negative/basal-like, 10 (76%) of 13 HER2-like, 6 (30%) of 20 luminal B, and 3 (75%) of 4 luminal A. All the patients were evaluated for toxicity: no grade 4 was detected, 5 patients experienced grade 3 neuropathy, then reverted to G2 after chemotherapy discontinuation. At a minimum follow-up of 5 years, median overall survival was 48 months.

CONCLUSION

Taxane/carboplatin-based/anthracycline-free NCT is the best treatment for inoperable breast cancer in terms of efficacy and toxicity, because this approach avoids cardiotoxicity and obtains an optimal rate (64%) of pCR, with an important impact on survival.

Progesterone receptor loss identifies luminal-type local advanced breast cancer with poor survival in patients who fail to achieve a pathological complete response to neoadjuvant chemotherapy

The aim of this study was to investigate the potential of progesterone receptor (PgR) as a biomarker for differentiating estrogen receptor (ER)-positive patients who fail to achieve a pathological complete response to neoadjuvant chemotherapy (NCT) with different prognoses. A total of 327 consecutive, locally advanced breast cancer patients with ER-positive disease were included in this study. According to their HER-2 and Ki-67 status, the patients were classified into the Luminal-A or Luminal-B subtype. We evaluated the clinical and pathological response to NCT and relapse or death occurring during follow-up according to PgR status in the different luminal subtypes. In the Luminal-B subtype, patients with PgR- tumors had a relatively higher pathological complete response (pCR) rate (29.5% vs. 4.7% pCR, P < 0.001) and Miller-Payne grades (45.5% vs. 23.5% of grade 4-5, P = 0033) compared to PgR+ tumors. In Luminal-B patients with residual tumor after NCT, PgR loss was also independently correlated with poor relapse-free survival (P = 0.017; HR = 0.430; PgR- as a reference) and overall survival (P = 0.013; HR = 0.355; PgR- as a reference). However, in the Luminal-A subtype, there were no statistically significant differences between PgR+ and PgR- disease in response to NCT or survival. Our findings have demonstrated the prognostic value of PgR loss in the neoadjuvant setting, indicating that ER+/PgR- Luminal-B tumors warrant further attention due to their high risk of relapse after primary treatment.

Diagnostic accuracy of MRI to evaluate tumour response and residual tumour size after neoadjuvant chemotherapy in breast cancer patients

Background

The aim, of the study was to estimate the accuracy of magnetic resonance imaging (MRI) in assessing residual disease in breast cancer patients receiving neoadjuvant chemotherapy (NAC) and to identify the clinico-pathological factors that affect the diagnostic accuracy of breast MRI to determine residual tumour size following NAC.

Patients and methods

91 breast cancer patients undergoing NAC (92 breast lesions) were included in the study. Breast MRI was performed at baseline and after completion of NAC. Treatment response was evaluated by MRI and histopathological examination to investigate the ability of MRI to predict tumour response. Residual tumour size was measured on post-treatment MRI and compared with pathology in 89 lesions. Clinicopathological factors were analyzed to compare MRI-pathologic size differences.

Results

The overall sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for diagnosing invasive residual disease by using MRI were 75.00%, 78.57%, 88.89%, 57.89%, and 76.09% respectively. The Pearson’s correlation coefficient (r) between tumour sizes determined by MRI and pathology was r = 0.648 (p < 0.001). The size discrepancy was significantly lower in cancers with initial MRI size ≤ 5 cm (p = 0.050), in cancers with high tumour grade (p < 0.001), and in patients with hormonal receptor-negative cancer (p = 0.033).

Conclusions

MRI is an accurate tool for evaluating tumour response after NAC. The accuracy of MRI in estimating residual tumour size varies with the baseline MRI tumour size, the tumour grade and the hormonal receptor status.

Diagnosis of pathological complete response to neoadjuvant chemotherapy in breast cancer by minimal invasive biopsy techniques

Background:

Neoadjuvant chemotherapy (NACT) is widely used as an efficient breast cancer treatment. Ideally, a pathological complete response (pCR) can be achieved. Up to date, there is no reliable way of predicting a pCR. For the first time, we explore the ability of minimal invasive biopsy (MIB) techniques to diagnose pCR in patients with clinical complete response (cCR) to NACT in this study. This question is of high clinical relevance because a reliable pCR prediction could have direct implications for clinical practice.

Methods:

In all, 164 patients were included in this review-board approved, multicenter pooled analysis of prospectively assembled data. Core-cut (CC)-MIB or vacuum-assisted (VAB)-MIB were performed after NACT and before surgery. Negative predictive values (NPV) and false-negative rates (FNR) to predict a pCR in surgical specimen (diagnose pCR through MIB) were the main outcome measures.

Results:

Pathological complete response in surgical specimen was diagnosed in 93 (56.7%) cases of the whole cohort. The NPV of the MIB diagnosis of pCR was 71.3% (95% CI: (63.3% 79.3%)). The FNR was 49.3% (95% CI: (40.4% 58.2%)). Existence of a clip marker tended to improve the NPV (odds ratio 1.98; 95% CI: (0.81; 4.85)). None of the mammographically guided VABs (n=16) was false-negative (FNR 0%, NPV 100%).

Conclusions:

Overall accuracy of MIB diagnosis of pCR was insufficient to suggest changing clinical practice. However, subgroup analyses (mammographically guided VABs) suggest a potential capacity of MIB techniques to precisely diagnose pCR after NACT. Representativity of MIB could be a crucial factor to be focused on in further analyses.

Can Routine Imaging After Neoadjuvant Chemotherapy in Breast Cancer Predict Pathologic Complete Response?

BACKGROUND

This study evaluated breast imaging procedures for predicting pathologic complete response (pCR = ypT0) after neoadjuvant chemotherapy (NACT) for breast cancer to challenge surgery as a diagnostic procedure after NACT.

METHODS

This retrospective, exploratory, monocenter study included 150 invasive breast cancers treated by NACT. The patients received magnetic resonance imaging (MRI), mammography (MGR), and ultrasound (US). The results were classified in three response subgroups according to response evaluation criteria in solid tumors. To incorporate specific features of MRI and MGR, an additional category [clinical near complete response (near-cCR)] was defined. Residual cancer in imaging and pathology was defined as a positive result. Negative predictive values (NPVs), false-negative rates (FNRs), and false-positive rates (FPRs) of all imaging procedures were analyzed for the whole cohort and for triple-negative (TN), HER2-positive (HER2+), and HER2-negative/hormone-receptor-positive (HER2-/HR+) cancers, respectively.

RESULTS

In 46 cases (31%), pCR (ypT0) was achieved. Clinical complete response (cCR) and near-cCR showed nearly the same NPVs and FNRs. The NPV was highest with 61% for near-cCR in MRI and lowest with 44% for near-cCR in MGR for the whole cohort. The FNRs ranged from 4 to 25% according to different imaging methods. The MRI performance seemed to be superior, especially in TN cancers (NPV 94%; FNR 5%). The lowest FPR was 10 % in MRI, and the highest FPR was 44% in US.

CONCLUSION

Neither MRI nor MGR or US can diagnose a pCR (ypT0) with sufficient accuracy to replace pathologic diagnosis of the surgical excision specimen.

Evaluation of lymph node status after neoadjuvant chemotherapy in breast cancer patients: comparison of diagnostic performance of ultrasound, MRI and ¹⁸F-FDG PET/CT

Objective:

To evaluate the diagnostic performance of ultrasound, MRI and fluorine-18 fludeoxyglucose positron emission tomography (¹⁸F-FDG PET)/CT for the diagnosis of metastatic axillary lymph node (ALN) after neoadjuvant chemotherapy (NAC) and to find out histopathological factors affecting the diagnostic performance of these imaging modalities.

Methods:

From January 2012 to November 2014, 191 consecutive patients with breast cancer who underwent NAC before surgery were retrospectively reviewed. We included 139 patients with ALN metastasis that was confirmed on fine needle aspiration or core needle biopsy at initial diagnosis.

Results:

After NAC, 39 (28%) patients showed negative conversion of ALN on surgical specimens of sentinel lymph node (LN) or ALN. The sensitivity of ultrasound, MRI and PET/CT was 50% (48/96), 72% (70/97) and 22% (16/73), respectively. The specificity of ultrasound, MRI and PET/CT was 77% (30/39), 54% (21/39) and 85% (22/26), respectively. The Az value of combination of ultrasound and PET/CT was the highest (0.634) followed by ultrasound (0.626) and combination of ultrasound, MRI and PET/CT (0.617). The size of tumour deposit in LN and oestrogen receptor was significantly associated with the diagnostic performance of ultrasound (p < 0.001 and p = 0.009, respectively) and MRI (p = 0.045 and p = 0.036, respectively). The percentage diameter decrease, size of tumour deposit in LN, progesterone receptor, HER2 and histological grade were significantly associated with the diagnostic performance of PET/CT (p = 0.023, p = 0.002, p = 0.036, p = 0.044 and p = 0.008, respectively). On multivariate logistic regression analysis, size of tumour deposit within LN was identified as being independently associated with diagnostic performance of ultrasound [odds ratio, 13.07; 95% confidence interval (CI), 2.95–57.96] and PET/CT (odds ratio, 6.47; 95% CI, 1.407–29.737).

Conclusion:

Combination of three imaging modalities showed the highest sensitivity, and PET/CT showed the highest specificity for the evaluation of ALN metastasis after NAC. Ultrasound alone or combination of ultrasound and PET/CT showed the highest positive-predictive value. The size of tumour deposit within ALN was significantly associated with diagnostic performance of ultrasound and PET/CT.

Advances in knowledge:

This study is about the diagnostic performance of ultrasound, MRI, PET/CT and combination of each imaging modality for the evaluation of metastatic ALN after NAC. Of many histopathological factors, only the size of tumour deposit within ALN was an independent factor associated with the diagnostic performance of ultrasound and PET/CT.

Evaluation of the pathological response and prognosis following neoadjuvant chemotherapy in molecular subtypes of breast cancer

BACKGROUND

The pathological complete response of neoadjuvant chemotherapy for breast cancer correlates with the prognosis for survival. Tumors may have different prognoses according to their molecular subtypes. This study was performed to evaluate the relevance of the pathological response and prognosis following neoadjuvant chemotherapy in the molecular subtypes of breast cancer.

METHODS

A consecutive series of 88 patients with operable breast cancer treated with neoadjuvant chemotherapy was analyzed. Patients were classified into four molecular subtypes based on the immunohistochemistry profile of the estrogen receptor, progesterone receptor, HER2, and Ki-67. The histological response was assessed according to Miller-Payne grading (MPG) and Residual Disease in Breast and Nodes (RDBN).

RESULTS

Ten patients (11.4%) achieved a pathological complete response, assessed according to RDBN. The pathological complete response rate was 13.6% according to MPG. Patients with the triple-negative subtype were more likely to achieve a pathological complete response than those with luminal A breast cancer (P=0.03). MPG and RDBN are independent predictors of distant disease-free survival and local recurrence-free survival, but do not predict overall survival. Ki-67, size of invasive carcinoma, lymph nodes, molecular subtypes, MPG, and RDBN are important predictors of distant disease-free survival, local recurrence-free survival, and overall survival.

CONCLUSION

MPG and RDBN were similarly related to the patient's prognosis. MPG was more suitable for evaluation of distant disease-free survival, and RDBN was more suitable for evaluation of local recurrence-free survival. Survival following neoadjuvant chemotherapy correlated with the pathological reaction rather than the molecular subtype of breast cancer. The molecular subtype of breast cancer was not correlated with pathological response in patients who did not achieve a pathological complete response.

Computational approach to radiogenomics of breast cancer: Luminal A and luminal B molecular subtypes are associated with imaging features on routine breast MRI extracted using computer vision algorithms

PURPOSE

To identify associations between semiautomatically extracted MRI features and breast cancer molecular subtypes.

METHODS

We analyzed routine clinical pre-operative breast MRIs from 275 breast cancer patients at a single institution in this retrospective, Institutional Review Board-approved study. Six fellowship-trained breast imagers reviewed the MRIs and annotated the cancers. Computer vision algorithms were then used to extract 56 imaging features from the cancers including morphologic, texture, and dynamic features. Surrogate markers (estrogen receptor [ER], progesterone receptor [PR], human epidermal growth factor receptor-2 [HER2]) were used to categorize tumors by molecular subtype: ER/PR+, HER2- (luminal A); ER/PR+, HER2+ (luminal B); ER/PR-, HER2+ (HER2); ER/PR/HER2- (basal). A multivariate analysis was used to determine associations between the imaging features and molecular subtype.

RESULTS

The imaging features were associated with both luminal A (P = 0.0007) and luminal B (P = 0.0063) molecular subtypes. No association was found for either HER2 (P = 0.2465) or basal (P = 0.1014) molecular subtype and the imaging features. A P-value of 0.0125 (0.05/4) was considered significant.

CONCLUSION

Luminal A and luminal B molecular subtype breast cancer are associated with semiautomatically extracted features from routine contrast enhanced breast MRI.

The significance of ductoscopy of mammary ducts in the diagnostics of breast neoplasms

Introduction

Ductoscopy is a low invasive method enabling the diagnostics of intraductal proliferative lesions in breasts. Fiberoptic ductoscopy (FDS) is important in the diagnosis of patients with pathological nipple discharge. There are attempts to apply FDS in patients with breast cancer without the presence of nipple discharge.

Aim

To assess fiberoptic ductoscopy in the diagnostics of breast neoplasms.

Material and methods

The material was composed of a group of 164 patients treated for intraductal proliferative lesions in breasts. In the analyzed group of patients, FDS was conducted in 128 patients with pathological nipple discharge and 36 patients with the presence of breast cancer. The analyzed period was divided into three sub-periods. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of FDS examination verified by post-operative histopathological examination were analyzed. The safety of the method was also assessed, taking into consideration the complications.

Results

An increasing number of successful ductoscopies together with the number of performed FDS examinations was noted. There were statistically significant differences in the percentage of successful cannulations in relation to the number of performed FDS examinations in the three subsequent stages of the project (p = 0.011). The duration of FDS examination in the third period was reduced in comparison with the first and second period (p < 0.001). Sensitivity of fiberoptic ductoscopy is 68.1%, specificity 77.3% and PPV 90.4%, but NPV is 44.1%.

Conclusions

The introduction of fiberoptic ductoscopy in our clinic has contributed to the widening of the diagnostic possibilities of small intraductal lesions of the mammary gland.

Can breast cancer molecular subtype help to select patients for preoperative MR imaging?

PURPOSE

To assess whether breast cancer molecular subtype classified by surrogate markers can be used to predict the extent of clinically relevant disease with preoperative breast magnetic resonance (MR) imaging.

MATERIALS AND METHODS

In this HIPAA-compliant, institutional review board-approved study, informed consent was waived. Preoperative breast MR imaging reports from 441 patients were reviewed for multicentric and/or multifocal disease, lymph node involvement, skin and/or nipple invasion, chest wall and/or pectoralis muscle invasion, or contralateral disease. Pathologic reports were reviewed to confirm the MR imaging findings and for hormone receptors (estrogen and progesterone subtypes), human epidermal growth factor receptor type 2 (HER2 subtype), tumor size, and tumor grade. Surrogates were used to categorize tumors by molecular subtype: hormone receptor positive and HER2 negative (luminal A subtype); hormone receptor positive and HER2 positive (luminal B subtype); hormone receptor negative and HER2 positive (HER2 subtype); hormone receptor negative and HER2 negative (basal subtype). All patients included in the study had a histologic correlation with MR imaging findings or they were excluded. χ(2) analysis was used to compare differences between subtypes, with multivariate logistic regression analysis used to assess for variable independence.

RESULTS

Identified were 289 (65.5%) luminal A, 45 (10.2%) luminal B, 26 (5.9%) HER2, and 81 (18.4%) basal subtypes. Among subtypes, significant differences were found in the frequency of multicentric and/or multifocal disease (luminal A, 27.3% [79 of 289]; luminal B, 53.3% [24 of 45]; HER2, 65.4% [17 of 26]; basal, 27.2% [22 of 81]; P < .001) and lymph node involvement (luminal A, 17.3% [50 of 289]; luminal B, 35.6% [26 of 45]; HER2, 34.6% [nine of 26]; basal 24.7% [20 of 81]; P = .014). Multivariate analysis showed that molecular subtype was independently predictive of multifocal and/or multicentric disease.

CONCLUSION

Preoperative breast MR imaging is significantly more likely to help detect multifocal and/or multicentric disease and lymph node involvement in luminal B and HER2 molecular subtype breast cancers. Molecular subtype may help to select patients for preoperative breast MR imaging.

Radiogenomic analysis of breast cancer: luminal B molecular subtype is associated with enhancement dynamics at MR imaging

PURPOSE

To investigate associations between breast cancer molecular subtype and semiautomatically extracted magnetic resonance (MR) imaging features.

MATERIALS AND METHODS

Imaging and genomic data from the Cancer Genome Atlas and the Cancer Imaging Archive for 48 patients with breast cancer from four institutions in the United States were used in this institutional review board approval-exempt study. Computer vision algorithms were applied to extract 23 imaging features from lesions indicated by a breast radiologist on MR images. Morphologic, textural, and dynamic features were extracted. Molecular subtype was determined on the basis of genomic analysis. Associations between the imaging features and molecular subtype were evaluated by using logistic regression and likelihood ratio tests. The analysis controlled for the age of the patients, their menopausal status, and the orientation of the MR images (sagittal vs axial).

RESULTS

There is an association (P = .0015) between the luminal B subtype and a dynamic contrast material-enhancement feature that quantifies the relationship between lesion enhancement and background parenchymal enhancement. Cancers with a higher ratio of lesion enhancement rate to background parenchymal enhancement rate are more likely to be luminal B subtype.

CONCLUSION

The luminal B subtype of breast cancer is associated with MR imaging features that relate the enhancement dynamics of the tumor and the background parenchyma.

Breast carcinoma: molecular profiling and updates

The most significant contribution of molecular subtyping of breast carcinomas has been the identification of estrogen-positive and estrogen-negative tumor subtypes, which are 2 distinct entities with differing prognoses and requiring different therapy. Molecular and genetic analyses can provide prognostic information; however, a thorough histopathologic evaluation with an evaluation of predictive biomarkers will provide similar information. Knowledge of genetic alterations in these tumors will help identify novel therapeutic targets, which might have an impact on prognosis. Understanding the progression pathways involved in the transition of in situ carcinoma to invasive carcinoma might lead to efficient risk stratification in these patients.

Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy

Background

Triple-negative breast cancer (TNBC) is a special subtype of breast cancer that is characterized by poor prognosis, strong tumor invasion and a high pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC). The pCR rate is a prognostic factor for TNBC. We aimed to evaluate the relationship between pCR and TNBC after NAC and originally tried to identify factors related to achieving pCR for TNBC using a meta-analysis.

Methods

We systematically searched the literature for pCR and breast cancer after NAC and carefully identified eligibility criteria. The association between pCR and breast cancer subtypes was estimated using Review Manager, while pCR rates for TNBC and non-TNBC were determined using Meta-Analyst.

Results

This analysis included a total of 9,460 cases from 27 studies. The summary odds ratio estimating the relationship between pCR and breast cancer subtypes (TNBC vs non-TNBC) was 3.02 (95% confidence interval (CI), 2.66 to 3.42). The TNBC pCR rate was 28.9% (95% CI, 27.0 to 30.8%) and the non-TNBC was 12.5% (95% CI, 11.7 to 13.4%). From subgroup analyses, we identified the factors associated with the highest pCR rates for TNBC.

Conclusions

TNBC has a higher pCR rate than non-TNBC. In the NAC setting, these factors of platinum-containing, more than six cycles, four kinds of drugs, 16 weeks’ treatment duration and sequential chemotherapy may contribute to increasing the pCR rate.

Are changes in circulating tumor cell (CTC) count associated with the response to neoadjuvant chemotherapy in local advanced breast cancer? A meta-analysis

INTRODUCTION

Circulating tumor cells (CTCs) represent a biomarker for tumor progression and monitoring therapeutic effects. We evaluated the association between the changes in CTC count and the pathological response to neoadjuvant chemotherapy (NCT) for local advanced breast cancer (LABC) patients.

METHODS

PubMed, EBSCO, Web of Science, conference proceedings and key trials for the period 1998-2012 were searched. We used the hazard ratio (HR) to evaluate the variation in the number of CTCs to predict the response to NCT in LABC patients. All data from each study were investigated using either fixed- or random-effect models and were analyzed using Stata software.

RESULTS

There was no between-study heterogeneity in pathological complete response (pCR) (heterogeneity chi-squared = 0.02 (df = 1), I(2) = 0.0%, p = 0.877). Our meta-analysis showed that the change (decrease or increase) in CTC number in LABC patients during NCT was not correlated with pCR (HR = 0.918, 95% confidence interval 0.650-1.295; p = 0.877).

CONCLUSION

The results of the current meta-analysis indicate that there is no association between the decrease of CTC number and pCR after NCT. According to our results, a decrease in the CTC count after NCT in LABC patients did not indicate that they had an improved response to NCT. However, more randomized clinical trials are needed to confirm this conclusion.

Response to neoadjuvant chemotherapy in ductal compared to lobular carcinoma of the breast: a meta-analysis of published trials including 1,764 lobular breast cancer

Infiltrating lobular carcinoma (ILC) of the breast is associated with greater oestrogen receptor expression and poorer response to neoadjuvant chemotherapy, when compared to infiltrating ductal carcinoma (IDC). In order to compare the pathological complete response rate (pCR) and breast conserving surgery (BCS) in patients with ILC versus IDC treated with neoadjuvant chemotherapy, we performed a systematic review and meta-analysis of all published studies. A search of PubMed, EMBASE, the Web of Science, SCOPUS and the Cochrane Central Register of Controlled Trials was performed to identify studies that investigated pCR, clinical response and BCS in patients with ILC that were treated with neoadjuvant chemotherapy. Random-effect models were adopted to estimate the summary odds ratio (OR), and the publication bias was evaluated using a funnel plot and Egger's regression asymmetry test. Seventeen studies were included (one randomized controlled trial, three prospective series and 13 retrospective trials), for a total of 12,645 IDCs and 1,764 ILCs to be compared. Ductal carcinoma of the breast was associated with a better pCR (from 5.9 to 16.7 %; OR = 3.1, 95 % CI 2.48-3.87, P < 0.00001) and rate of BCS (from 35.4 to 54.8 %; OR = 2.1, 95 % CI 1.8-2.45, P < 0.00001) compared to ILC. The overall pCR rates and BCS decreased in the ILCs compared with IDC when treated with neoadjuvant chemotherapy.

[Triple-negative breast cancer: histoclinical and molecular features, therapeutic management and perspectives]

Triple-negative breast cancer (TNBC), as defined by the absence of estrogen and progesterone receptor expression, as well as the lack of HER2 overexpression/amplification, corresponds to 15% of breast cancer and represents an aggressive form of the disease. TNBC are frequently confounded with basal subtype in the molecular classification of breast cancer and also share some similarities with BRCA1-mutated tumors. Epidemiological and clinical characteristics are distinct from other subtypes, including a younger age at diagnosis, a higher risk of relapse in spite of increased chemosensitivity, and a higher incidence of lung and brain metastatic relapses. Conventional cytotoxics remain the mainstay of current systemic management but recent evaluation of more targeted therapeutics, including specific cytotoxics (such as the use of platinum salts), PARP and EGFR inhibition, and antiangiogenics have been performed, providing contrasted but rather disappointing results. Recent data indicate that TNBC represent a heterogeneous entity composed of multiple and distinct molecular subtypes, which should deserve specific targeted therapeutics.

Magnetic resonance imaging in breast cancer treated with neoadjuvant chemotherapy: radiologic-pathologic correlation of the response and disease-free survival depending on molecular subtype

OBJECTIVES

To evaluate the radiologic and pathologic responses to neoadjuvant chemotherapy and their correlation in the molecular subtypes of breast cancer and to analyze their impact in disease-free survival.

MATERIAL AND METHODS

We included 205 patients with breast cancer treated with neoadjuvant chemotherapy. We evaluated the radiologic response by comparing MRI images acquired before and after chemotherapy. The pathologic response was classified on the Miller and Payne scale. For each subtype (HER2+, TN, luminal A, luminal B HER2-, and luminal B HER2+), we used the χ(2) test, Student's t-test, ANOVA, and Kendall's Tau-b to evaluate the radiologic response and the pathologic response, the radiologic-pathologic correlation, and the disease-free survival.

RESULTS

The subtypes HER2+ (62.1%) and TN (45.2%) had higher rates of complete radiologic response. The pathologic response was 65.5% in the HER2+ subtype, 38.1% in the TN subtype, 2.6% in the luminal A subtype, 8.2% in the luminal B HER2- subtype, and 31% in the luminal B HER2+ subtype. The rate of radiologic-pathologic correlation was significant in all subtypes, higher in TN and HER2 (Tau-b coefficients 0.805 and 0.717, respectively). Disease-free survival was higher in HER2+ (91.9±3.3 months) and lower in TN (69.5±6.3 months), with significant differences between the cases with poor and good radiologic responses (P=.040). Survival was greater in cases with good radiologic response, except in cases with luminal A subtype.

CONCLUSION

MRI can be a useful tool that provides information about the evolution of breast cancer treated with neoadjuvant chemotherapy, which varies with the immunohistochemical subtype.

Pathology Considerations in Patients Treated with Neoadjuvant Chemotherapy

Neoadjuvant therapy (NAT) originally reserved for the treatment of inflammatory and locally advanced breast cancers is currently offered to women with earlier-stage and operable breast carcinoma. NAT allows more women to be eligible for breast conservation surgery and provides an opportunity to assess the response of carcinomas to therapy. This review focuses on the predictors of therapeutic response in pretreatment tumor, evaluation of post-treatment breast and lymph node specimens and classification systems to evaluate degree of response to NAT.

Prevalence of molecular subtypes and prognosis of invasive breast cancer in north-east of Morocco: retrospective study

Background

Breast carcinoma is known as a heterogeneous disease because gene expression analyses identify several subtypes and the molecular profiles are prognostic and predictive for patients. Our aim, in this study, is to estimate the prevalence of breast cancer subtypes and to determine the relationship between clinico-pathological characteristics, overall survival (OS) and disease free survival (DFS) for patients coming from north-east of Morocco.

Methods

We reviewed 366 cases of breast cancer diagnosed between January 2007 to June 2010 at the Department of pathology. Age, size tumor, metastatic profile, node involvement profile, OS and DFS were analyzed on 181 patients. These last parameters were estimated by Kaplan-Meier analysis and log-rank test to estimate outcome differences among subgroups.

Results

The average age was 45 years, our patients were diagnosed late (57% stage III, 17.5% stage IV) with a high average tumor size. Luminal A subtype was more prevalent (53.6%) associated with favorable clinic-pathological characteristics, followed by luminal B (16.4%), Her2-overexpressing (12.6%), basal-like (12.6%) and unclassified subtype (4.9%).

Survival analysis showed a significant difference between subtypes. The triple negative tumors were associated with poor prognosis (49% OS, 39% DFS), whereas the luminal A were associated with a better prognosis (88% OS, 59% DFS). The luminal B and the Her2-overexpressing subtypes were associated with an intermediate prognosis (77% and 75% OS, and 41% and 38% DFS respectively).

Conclusion

This study showed that molecular classification by immunohistochemistry was necessary for therapeutic decision and prognosis of breast carcinoma. The luminal A subtype was associated with favorable biological characteristics and a better prognosis than triple negative tumors that were associated with a poor prognosis and unfavorable clinic-pathological characteristics.

Meta-analysis of the association of breast cancer subtype and pathologic complete response to neoadjuvant chemotherapy

BACKGROUND

Pathologic complete response (pCR) is a surrogate end-point for prognosis in neoadjuvant chemotherapy (NAC) for breast cancer. We aimed to report summary estimates of the proportion of subjects achieving pCR (pCR%) by tumour subtype, and to determine whether subtype was independently associated with pCR, in a study-level meta-analysis.

METHODS

We systematically identified NAC studies reporting pCR data according to tumour subtype, using predefined eligibility criteria. Descriptive, qualitative and quantitative data were extracted. Random effects logistic meta-regression examined whether pCR% was associated with subtype, defined using three categories for model 1 [hormone receptor positive (HR+/HER2-), HER2 positive (HER2+), triple negative (ER-/PR-/HER2-)] and 4 categories for model 2 [HER2+ further classified as HER2+/HR+ and HER2+/HR-]. Subtype-specific odds ratios (OR) were calculated and were adjusted for covariates associated with pCR in our data.

RESULTS

In model 1, based on 11,695 subjects from 30 eligible studies, overall pooled pCR% was 18.9% (16.6-21.5%), and in model 2 (20 studies, 8095 subjects) pooled pCR% was 18.5% (16.2-21.1%); tumour subtype was associated with pCR% (P<0.0001) in both models. Subtype-specific pCR% (model 2) was: 8.3% (6.7-10.2%) in HR+/HER2- [OR 1/referent], 18.7% (15.0-23.1%) in HER2+/HR+ [OR 2.6], 38.9% (33.2-44.9%) in HER2+/HR- [OR 7.1] and 31.1% (26.5-36.1%) in triple negative [OR 5.0]; pCR% was significantly higher for the HER2+/HR- compared with the triple negative subtype, however pCR% was very similar for these subtypes (and OR=5.0 both subtypes) when studies using HER2-directed therapy with NAC were excluded from the model. Neither sensitivity analysis (excluding unknown subtypes), nor adjustment for associated covariates, substantially altered our findings.

INTERPRETATION

This meta-analysis provides evidence of an independent association between breast cancer subtype and pCR; odds of pCR were highest for the triple negative and HER2+/HR- subtypes, with evidence of an influential effect on achieving pCR in the latter subtype through inclusion of HER2-directed therapy with NAC.

Impact of immunohistochemistry-based molecular subtype on chemosensitivity and survival in patients with breast cancer following neoadjuvant chemotherapy

Purpose

Pathologic complete response (pCR) has been suggested as a surrogate prognostic indicator in breast cancer patients treated with neoadjuvant chemotherapy. We assessed whether the likelihood of pCR and survival is associated with the immunohistochemistry-based molecular subtypes.

Methods

We retrospectively analyzed the records of 276 patients with breast cancer who received neoadjuvant chemotherapy between January 2000 and January 2010. Patients were classified into four molecular subtypes based on the immunohistochemistry profiles of estrogen receptor, progesterone receptor, and HER2/neu. Logistic regression was used to analyze variables associated with pCR.

Results

The pCR was achieved in 45 patients (16.3%). The triple negative subtype was an independent predictive factor for pCR (odds ratio, 3.21; 95% confidence interval, 1.20-8.56; p=0.020), and the ERBB-2 subtype showed a trend for higher pCR rates (odds ratio, 3.03; 95% confidence interval, 0.93-9.89; p=0.067) compared with the luminal A subtype. In 99 patients with HER2/neu-positive breast cancer, pCR rates were higher in those who received trastuzumab (31.7%) than those treated with conventional chemotherapy regimens (17.2%, p=0.023). The pCR was significantly associated with prolonged progression-free survival (p=0.008). The triple negative subgroup had shorter progression-free survival (p=0.001) and overall survival (p=0.001) than the other subgroups.

Conclusion

We demonstrated that the triple negative and ERBB-2 subtypes are more likely to obtain pCR when neoadjuvant chemotherapy is given, compared to the luminal A subtype. Despite the high pCR rate, the triple negative subtype showed worse survival outcomes, paradoxically, primarily due to patients who had residual disease.

Association of HER-2 copy number and HER-2/CEP-17 ratio with neoadjuvant taxane-containing chemotherapy sensitivity in locally advanced breast cancer

PURPOSE

Aneusomy 17 causes inconsistency in fluorescence in situ hybridization (FISH)-based human epidermal growth factor receptor (HER)-2 status assessment using different algorithms (copy number or the HER-2/centromere enumerator probe 17 [CEP-17] ratio). We investigated the effects of FISH-based HER-2 status assessment and aneusomy 17 on responsiveness to neoadjuvant chemotherapy (NAC).

PATIENTS AND METHODS

This prospective study recruited 152 patients with locally advanced breast cancer who underwent four-cycle weekly paclitaxel plus carboplatin without trastuzumab.

RESULTS

The pathologic complete remission (pCR) rate in the breast and axilla was 24.3% (95% confidence interval [CI], 17.7%-32.0%). Although HER-2 status, assessed by either HER-2/CEP-17 ratio-based FISH or copy number-based FISH, was a predictor of NAC sensitivity, ratio-assessed HER-2 status had a poorer performance in determining patients' responsiveness to NAC (p = .029). Patients who were not HER-2 amplified when assessed using the HER-2/CEP-17 ratio but were HER-2 amplified when assessed using copy number (~5%) were eventually proven to be responsive to NAC, with a pCR rate of 57% (95% CI, 18.4%-90.1%). In contrast, patients who were HER-2 amplified when assessed by the ratio but not HER-2 amplified when assessed using copy number (~3%) were completely irresponsive. Higher HER-2 copy numbers represented increasing chances of a pCR (adjusted odds ratio, 3.09; 95% CI, 1.35-7.08), with an apparent gene-dose effect (p for trend < .001).

CONCLUSION

It is likely that HER-2 copy number but not the HER-2/CEP-17 ratio determines NAC sensitivity. Additional studies to validate our findings are warranted.

GSTP1 expression predicts poor pathological complete response to neoadjuvant chemotherapy in ER-negative breast cancer

The purpose of the present study was to investigate the association of glutathione S-transferase P1 (GSTP1) expression with resistance to neoadjuvant paclitaxel followed by 5-fluorouracil/epirubicin/cyclophosphamide (P-FEC) in human breast cancers. The relationship of GSTP1 expression and GSTP1 promoter hypermethylation with intrinsic subtypes was also investigated. In this study, primary breast cancer patients (n = 123, stage II-III) treated with neoadjuvant P-FEC were analyzed. Tumor samples were obtained by vacuum-assisted core biopsy before P-FEC. GSTP1 expression was determined using immunohistochemistry, GSTP1 promoter methylation index (MI) using bisulfite methylation assay and intrinsic subtypes using DNA microarray. The pathological complete response (pCR) rate was significantly higher in GSTP1-negative tumors (80.0%) than GSTP1-positive tumors (30.6%) (P = 0.009) among estrogen receptor (ER)-negative tumors but not among ER-positive tumors (P = 0.267). Multivariate analysis showed that GSTP1 was the only predictive factor for pCR (P = 0.013) among ER-negative tumors. Luminal A, luminal B and HER2-enriched tumors showed a significantly lower GSTP1 positivity than basal-like tumors (P = 0.002, P < 0.001 and P = 0.009, respectively), while luminal A, luminal B and HER2-enriched tumors showed a higher GSTP1 MI than basal-like tumors (P = 0.076, P < 0.001 and P < 0.001, respectively). In conclusion, these results suggest the possibility that GSTP1 expression can predict pathological response to P-FEC in ER-negative tumors but not in ER-positive tumors. Additionally, GSTP1 promoter hypermethylation might be implicated more importantly in the pathogenesis of luminal A, luminal B and HER2-enriched tumors than basal-like tumors.

Basal breast cancer: a complex and deadly molecular subtype

During the last decade, gene expression profiling of breast cancer has revealed the existence of five molecular subtypes and allowed the establishment of a new classification. The basal subtype, which represents 15-25% of cases, is characterized by an expression profile similar to that of myoepithelial normal mammary cells. Basal tumors are frequently assimilated to triple-negative (TN) breast cancers. They display epidemiological and clinico-pathological features distinct from other subtypes. Their pattern of relapse is characterized by frequent and early relapses and visceral locations. Despite a relative sensitivity to chemotherapy, the prognosis is poor. Recent characterization of their molecular features, such as the dysfunction of the BRCA1 pathway or the frequent expression of EGFR, provides opportunities for optimizing the systemic treatment. Several clinical trials dedicated to basal or TN tumors are testing cytotoxic agents and/or molecularly targeted therapies. This review summarizes the current state of knowledge of this aggressive and hard-to-treat subtype of breast cancer.

Clinicopathological, therapeutic and prognostic features of the triple-negative tumors in moroccan breast cancer patients (experience of Hassan II university hospital in Fez)

Introduction

Triple-negative breast cancer (TNBC) is defined as a group of breast carcinomas that are negative for expression of hormone receptors (ER, PR) and Her2, we can distinguish between two groups: basal-like (ER-, PR-, Her2-, cytokeratin (CK) 5/6+ and/or Her1+) and unclassified subtype (ER-, PR-, Her2-, Her1- and CK5/6-).

The aim of this study is to determine the clinicopathological, histological, therapeutic and prognostic features associated with this type of breast cancer.

Methods

This is a retrospective study of 366 female breast cancer patients, diagnosed between January 2007 and June 2010 at the Department of Pathology. Epidemiological, clinical, histological, therapeutic and evolutive data were analyzed. OS and DFS rates were estimated by Kaplan-Meier analysis and a log-rank test to estimate outcome.

Results

A total of 64 women were identified as having TNBC (17.5% of all female breast cancer patients), 12.6% were basal-like, 4.9% were unclassified subtype, with a median age of 45 years. The median histological tumor diameter was 4.3 cm. TNBC were most often associated with a high grade, 49.2% grade III (53% for unclassified subtype, 47.6% for basal-like). Vascular invasion was found in 26.6% of cases (22% for unclassified subtype and 28.3% for basal-like). For the lymph node involvement: 51% had positive lymph nodes, and 22.4% had distant metastases. Neoadjuvant chemotherapy was administered to 18% patients with 26% of complete pathologic response; therefore adjuvant chemotherapy was given to 82%. 98% received anthracycline based regimen and only 30% received taxanes.

The Kaplan-Meier curves based showed the lowest survival probability at 3-years (49% of OS, and 39% of DFS).

Conclusion

TNBC is associated with young age, high grade tumors, advanced stage at diagnosis, difference chemo response compared to other subtypes, and shortest survival. Critical to optimal future management is accurate identification of truly triple negative disease, and adequately powered prospective TNBC trials to establish treatment efficacy and define predictive biomarkers.

Tailoring therapy for locally advanced breast cancer using molecular profiles: are we there yet?

The term 'locally advanced breast cancer' covers a range of clinical scenarios, and has the implications that surgical clearance and local control will be difficult or impossible, and long-term survival rates will be poor. Treatment selection is particularly important in this group of patients to try to obtain maximum control of disease, and potentially improve surgical options and cure rates. Currently, assessment of estrogen receptor, progesterone receptor and human epidermal receptor 2 status in tumour samples remains the gold standard for prediction of response to endocrine therapy, chemotherapy or targeted agents such as trastuzumab. Progress has been made in identifying markers that can help select treatments likely to be associated with response and avoid those associated with resistance. These potential markers include Ki67 proliferation rate, cytochrome P450 (CYP) 2D6 expression, BRCA1/2 gene status and others.