Lymph node involvement in immunohistochemistry-based molecular classifications of breast cancer

Mechanisms of lymph node metastasis: An extracellular vesicle perspective

In several solid tumors such as breast cancer, prostate cancer, colorectal cancer or melanoma, tumor draining lymph nodes are the earliest tissues where colonization by tumor cells is detected. Lymph nodes act as sentinels of metastatic dissemination, the deadliest phase of tumor progression. Besides hematogenous dissemination, lymphatic spread of tumor cells has been demonstrated, adding more complexity to the mechanisms involved in metastasis. A network of blood and lymphatic vessels surrounds tumors providing routes for tumor soluble factors to mediate regional and long-distance effects. Additionally, extracellular vesicles (EVs), particularly small EVs/exosomes, have been shown to circulate through the blood and lymph, favoring the formation of pre-metastatic niches in the tumor-draining lymph nodes (TDLNs) and distant organs. In this review, we present an overview of the relevance of lymph node metastasis, the structural and immune changes occurring in TDLNs during tumor progression, and how extracellular vesicles contribute to modulating some of these alterations while promoting the formation of lymph node pre-metastatic niches.

Ultrasonography and clinicopathological features of breast cancer in predicting axillary lymph node metastases

Background

Early identification of axillary lymph node metastasis (ALNM) in breast cancer (BC) is still a clinical difficulty. There is still no good method to replace sentinel lymph node biopsy (SLNB). The purpose of our study was to develop and validate a nomogram to predict the probability of ALNM preoperatively based on ultrasonography (US) and clinicopathological features of primary tumors.

Methods

From September 2019 to April 2022, the preoperative US) and clinicopathological data of 1076 T1-T2 BC patients underwent surgical treatment were collected. Patients were divided into a training set (875 patients from September 2019 to October 2021) and a validation set (201 patients from November 2021 to April 2022). Patients were divided into positive and negative axillary lymph node (ALN) group according pathology of axillary surgery. Compared the US and clinicopathological features between the two groups. The risk factors for ALNM were determined using multivariate logistic regression analysis, and a nomogram was constructed. AUC and calibration were used to assess its performance.

Results

By univariate and multivariate logistic regression analysis, age (p = 0.009), histologic grades (p = 0.000), molecular subtypes (p = 0.000), tumor location (p = 0.000), maximum diameter (p = 0.000), spiculated margin (p = 0.000) and distance from the skin (p = 0.000) were independent risk factors of ALNM. Then a nomogram was developed. The model was good discriminating with an AUC of 0.705 and 0.745 for the training and validation set, respectively. And the calibration curves demonstrated high agreement. However, in further predicting a heavy nodal disease burden (> 2 nodes), none of the variables were significant.

Conclusion

This nomogram based on the US and clinicopathological data can predict the presence of ALNM good in T1-T2 BC patients. But it cannot effectively predict a heavy nodal disease burden (> 2 nodes).

Comparison of the tumor immune microenvironment phenotypes in different breast cancers after neoadjuvant therapy

Neoadjuvant therapy (NAT) treats early-stage breast cancers, especially triple-negative breast cancers (TNBCs). NAT improves pathological complete response (pCR) rates for different breast cancer patients. Recently, immune checkpoint inhibitors that target programmed death 1 (PD-1) or programmed death ligand 1 (PD-L1) in combination with NAT have shown antitumor activity in patients with early breast cancer. However, the tumor immune microenvironment (TME) in different subtypes of breast cancers, like TNBC, hormone receptor-positive (HR+), and human epidermal growth factor receptor 2 amplified (HER2+) and its changes by NAT remain to be fully characterized. We analyzed pre-NAT tumor biopsies from TNBC (n = 27), HR+ (n = 24), and HER2+ (n = 30) breast cancer patients who received NAT, followed by surgery. The different immune makers (PD-1, PD-L1, CD3, and CD8) of tumor-infiltrating lymphocytes (TILs) were identified with immunofluorescence-based microenvironment analysis. TILs within cancer parenchyma (iTILs) and in cancer stroma (sTILs) were counted separately. We found that PD-L1+ cells in tumor and stroma were significantly higher in TNBC patients than in others. PD-L1+ sTILs were significantly higher in pCR than in non-pCR patients of all the subtypes. The infiltration scores of B-cell memory, T-cell CD4+ memory activated, T-cell follicular helper, and Macrophage M0 and M1 were relatively higher in TNBC patients, indicating immunoreactive TME in TNBC. Analysis of TCGA-BRCA RNA-seq indicated that PD-L1 was highly expressed in TNBC patients compared with HR+ and HER2+ patients. Higher PD-L1 expression in TNBC patients was associated with significantly longer overall survival (OS). Our results demonstrated that PD-L1 expression level of iTILs and sTILs is highest in TNBC among breast cancers. TNBC patients had significantly different immunoreactive TME compared with HR+ and HER2+ patients, suggesting potentially favorable outcomes for immunotherapy in these patients. Also, PD-L1+ could be a powerful predictor of pCR in TNBC patients after NAT.

Modeling Tumor: Lymphatic Interactions in Lymphatic Metastasis of Triple Negative Breast Cancer

Simple Summary

Lymphatic metastasis is a critical prognostic factor of breast cancer aggressiveness and patient survival. Since existing therapeutic approaches have shown limited efficacy, new strategies to identify effective therapeutic targets for reducing breast cancer lymphatic metastasis are needed. We have used novel culture chambers, designed and fabricated by our group, to develop 3D models in which we can study spat ial interactions between breast cancer cells and lymphatic cells as they occur in real-time. This approach provides information on the complex cell–cell interactions involved in lymphatic metastasis of breast cancers. Factors in the secretome of the lymphatic cells promote invasive outgrowths from 3D cultures of breast cancer cells, suggesting that targeting interactions between breast cancer cells and lymphatic cells could be a potential therapeutic approach for the prevention of lymphatic metastasis.

Abstract

Breast cancer frequently metastasizes to lymphatics and the presence of breast cancer cells in regional lymph nodes is an important prognostic factor. Delineating the mechanisms by which breast cancer cells disseminate and spatiotemporal aspects of interactions between breast cancer cells and lymphatics is needed to design new therapies to prevent lymphatic metastases. As triple-negative breast cancer (TNBC) has a high incidence of lymphatic metastasis, we used a three-dimensional (3D) coculture model of human TNBC cells and human microvascular lymphatic endothelial cells (LECs) to analyze TNBC:LEC interactions. Non-invasive analyses such as live-cell imaging in real-time and collection of conditioned media for secretomic analysis were facilitated by our novel microfluidic chambers. The volumes of 3D structures formed in TNBC:LEC cocultures are greater than that of 3D structures formed by either LEC or TNBC monocultures. Over 4 days of culture there is an increase in multicellular invasive outgrowths from TNBC spheroids and an association of TNBC spheroids with LEC networks. The increase in invasive phenotype also occurred when TNBC spheroids were cultured in LEC-conditioned media and in wells linked to ones containing LEC networks. Our results suggest that modeling spatiotemporal interactions between TNBC and LECs may reveal paracrine signaling that could be targeted to reduce lymphatic metastasis.

Comparison of the tumor immune microenvironment of primary hormone receptor-negative HER2-positive and triple negative breast cancer

The vast majority of studies investigating immune checkpoint inhibition (ICI) in patients with breast cancer have focused on triple-negative breast cancer (TNBC). In this study, we compared the tumor immune microenvironment (TIME) between TNBC and hormone receptor-negative HER2-positive breast cancer based on a selection of immune markers at the protein level in an institutional retrospective series. Additionally, we performed a similar comparison using publicly available transcriptomics data. Altogether, the results show a comparable TIME in both groups, with possible implications for the use of ICI in patients with hormone receptor-negative HER2-positive breast tumors.

Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer

Background

Lymph node status is an important factor in determining the prognosis of early-stage breast cancer. We endeavored to build and validate a simple nomogram to predict lymph node metastasis (LNM) in patients with early-stage breast cancer.

Methods

Patients with T1-2 and non-metastasis (M0) breast cancer registered in the Surveillance, Epidemiology, and End Results (SEER) database were enrolled. All patients were divided into primary cohort and validation cohort in a 2:1 ratio. In order to assess risk factors for LNM, we performed univariate and multivariate binary logistic regression, and based on results of multivariable analysis, we built the predictive nomogram model. The C-index, receiver operating characteristic (ROC) and calibration plots were applied to assess LNM model performance. Moreover, the nomogram efficiency was further validated through the validation cohort, part of which was from the First Affiliated Hospital of Nanjing Medical University database.

Results

Totally, 184,531 female breast cancer with T1-2 tumor size from SEER database and 1,222 patients from the Chinese institutional data were included. There were 123,019 patients in the primary cohort and 62,734 patients in validation cohort. The LNM nomogram was composed of seven features including age at diagnosis, race, primary site, histologic type, grade, tumor size and subtype. The model showed good discrimination, with a C-index of 0.720 [95% confidence interval (CI): 0.717-0.723] and good calibration. Similar C-index was 0.718 (95% CI: 0.713-0.723) in validation cohort. Consistently, ROC curves presented good discrimination in the primary cohort [area under the curve (AUC) =0.720] and the validation set (AUC =0.718) for the LNM nomogram. Calibration curve of the nomogram demonstrated good agreement.

Conclusions

With the prediction of novel validated nomogram for women with early-stage breast cancer, doctors may distinguish patients with high possibility of LNM and devise individualize treatments.

Relation Between Tumor Size and Lymph Node Metastasis According to Subtypes of Breast Cancer

Purpose

Tumor size and lymph node metastasis are important factors that contribute to the progression of breast cancer. We aimed to analyze the relationship between tumor size and lymph node metastasis molecular subtype and examine the effects of nodal metastasis on overall survival (OS).

Methods

We retrospectively reviewed the data of 16,552 patients who underwent breast surgery in Samsung Medical Center between 2000 and 2015. Information on tumor size (largest diameter of the invasive component), number of positive lymph nodes, and molecular subtype were obtained. We constructed a linear regression model to evaluate the relationship between tumor size and lymph node metastasis. To determine the effect of nodal metastasis on OS, we performed a Cox proportional regression analysis with Np/T (number of metastatic lymph nodes [n]/tumor size [cm]).

Results

This study included 12,007 patients with a median follow-up of 62 months. The linear regression coefficients were 1.043 for luminal A, 1.024 for luminal B, 0.656 for HER2, and 0.435 for triple-negative breast cancer (TNBC) subtypes. No significant difference was observed in the coefficients between the luminal A and B subtypes (p = 0.797), while all other coefficients showed significant difference. After adjusting for other risk factors, the hazard ratio (HR) of Np/T for each subtype was significant for OS: luminal A (HR, 1.134; 95% confidence interval [CI], 1.097–1.171; p < 0.001), luminal B (HR, 1.049; 95% CI, 1.013–1.086; p = 0.007), HER2 (HR, 1.069; 95% CI, 1.014–1.126; p = 0.013), and TNBC (HR, 1.038; 95% CI, 1.01–1.067; p = 0.008).

Conclusion

The incidence of lymph node metastasis differed according to molecular subtype. Luminal types have higher incidence of nodal metastasis than HER2 and TNBC. The HR of Np/T was highest in luminal A subtypes and lowest in TNBC subtypes.

Studying Lymphatic Metastasis in Breast Cancer: Current Models, Strategies, and Clinical Perspectives

Breast cancer is the most commonly diagnosed cancer in women and the second most common cause of cancer-related deaths in the United States. Although early detection has significantly decreased breast cancer mortality, patients diagnosed with distant metastasis still have a very poor prognosis. The most common site that breast cancer spreads to are local lymph nodes. Therefore, the presence of lymph node metastasis remains one of most important prognostic factors in breast cancer patients. Given its significant clinical implications, increased efforts have been dedicated to better understand the molecular mechanism governing lymph node metastasis in breast cancer. The identification of lymphatic-specific biomarkers, including podoplanin and LYVE-1, has propelled the field of lymphatic metastasis forward. In addition, several animal models such as cell line-derived xenografts, patient-derived xenografts, and spontaneous tumor models have been developed to recreate the process of lymphatic metastasis. Moreover, the incorporation of various -omic platforms have provided further insight into the genetic drivers facilitating lymphatic metastasis, as well as potential biomarkers and therapeutic targets. Here, we highlight various models of lymphatic metastasis, their potential pitfalls, and other tools available to study lymphatic metastasis including imaging modalities and -omic studies.

Down Regulation of KAI1/CD82 in Lymph Node Positive and Advanced T-Stage Group in Breast Cancer Patients

BACKGROUND

Metastasis represents a deadly aspect of any cancer including breast cancer, given its high prevalence; treatment of metastatic breast cancer remains a clinically unmet need, which necessitates the exploration of metastasis suppressor genes (MSGs). KAI-1/CD82 is an important member of MSGs; the role of KAI1 has been well explored in prostate cancer, however its role in breast cancer is not fully explored and in fact the results of breast cancer studies are contentious. Thus, the present study aimed to investigate expression of KAI1 at both transcriptional and translational levels in the tissue of breast cancer patients and benign breast disease. Further, we analysed the relationship between expression levels of KAI1 and clinicopathological parameters in breast cancer patients.

MATERIALS AND METHODS

mRNA expression was studied by Real time PCR and protein expression was analyzed by both Western blot and Immunohistochemistry.

RESULTS

The results of the study indicate that KAI1 expression was remarkably decreased in breast cancer both at the gene and the protein levels (P < 0.05) compared to benign breast disease. In addition, KAI1 expression levels were strongly associated with axillary lymph node status and advanced T stage (p < 0.05), however no association was found with tumor grade, age, menopausal status and receptor status like ER, PR and Her2.

CONCLUSION

Low expression of KAI1 might be helpful for predicting the lymph node metastasis and T staging, thus predicts malignant prognosis of breast cancer.<br />.

The influence of breast cancer subtypes on axillary ultrasound accuracy: A retrospective single center analysis of 583 women

INTRODUCTION

Axillary ultrasound staging (AUS) is an important tool to guide clinical decisions in breast cancer therapy, especially regarding axillary surgery but also radiation therapy. It is unknown whether biological subtypes influence axillary staging using ultrasound (AUS).

METHOD

This is a retrospective single center analysis. All patients with breast cancer, a preoperative axillary ultrasound and a complete surgical axillary staging were included between 1999 and 2014, except patients with neoadjuvant chemotherapy (NACT). The results of the AUS were compared with final pathological results. Biological subtypes were identified by immunohistochemistry.

RESULTS

583 women were included in the study. Sensitivity, Specificity, positive and negative predictive value for AUS were 39%, 96%, 91% and 83%. While sensitivity was significantly lower in Luminal A and B patients (25.0%; 39.8%) as compared to non Luminal breast cancer patients (TN 68.8%; Her2+ 71.4%; p = 0.0032), there were no significant differences between the groups with respect to specificity, PPV and NPV.

CONCLUSION

Solely regarding sensitivity of AUS, our study could show significant differences between biological subtypes of breast cancer with lower sensitivity in Luminal patients. While PPV was excellent, standing for a low overtreatment rate using AUS for clinical decision making, sensitivity was poor overall, comparable to the results of other studies.

Associations between obesity, smoking and lymph node status at breast cancer diagnosis in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial

INTRODUCTION

There is evidence suggesting that smoking and obesity prior to a breast cancer diagnosis is associated with poorer outcomes. In this study, we investigate the associations between smoking and obesity prior to a breast cancer diagnosis and the presence of lymph node metastases at diagnosis.

METHODS

Women with stage I-III breast cancer (n = 3,304) were identified from the National Cancer Institute's Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Univariable and multivariable log-binomial models were used to estimate relative risks (RR) and 95% confidence intervals (CIs) for associations between lymph node positive breast cancer and; i) smoking, and ii) obesity prior to diagnosis.

RESULTS

Pre-diagnostic smoking/obesity was not associated with lymph node metastasis at diagnosis in multivariable analyses; (RR 0.82, 95%CI 0.61, 1.10) and (RR 0.95, 95% CI 0.81, 1.12), respectively.

CONCLUSION

Obesity and smoking information was recorded a number of years prior to breast cancer diagnosis, therefore these findings should to be replicated in a larger cohort of women, with more detailed smoking and obesity information.

Determination of the prognostic value of preoperative CA15-3 and CEA in predicting the prognosis of young patients with breast cancer

To the best of our knowledge, no previous study has investigated the association of carcinoembryonic antigen (CEA) and cancer antigen 15-3 (CA15-3) with the prognosis for young patients (≤40 years) with breast cancer. In the present study, preoperative CEA and CA15-3 serum levels were evaluated in the prediction of the prognosis for young patients with breast cancer. In total, 699 patients were recruited, for which the CEA and CA15-3 serum levels had been measured prior to surgery via a blood sample. The optimal cut-off high and low values were determined using receiver operating characteristic curve analysis and Youden's index. The value of CEA and CA15-3 in predicting overall survival (OS) and disease-free survival (DFS) were measured using univariate and multivariate Cox's regression analyses. The cut-off values were 3.38 ng/ml and 12.32 U/ml for CEA and CA15-3, respectively. It was identified that CEA, but not CA15-3, was a predictor for the prognosis of the young patients with breast cancer. Multivariate analysis confirmed that CEA, but not CA15-3, was an independent prognostic marker for all young patients with breast cancer. In total, 623 young patients exhibited decreased levels of CEA; in these patients, CA15-3 with a cut-off value of 12.48 U/ml was an independent prognostic factor for OS and DFS. Preoperative serum CEA may thus serve as an independent predictor of poor prognosis for young patients with breast cancer. However, for low-risk patients with decreased CEA levels, serum CA15-3 may supplement the prediction of overall prognosis.

The Association between Molecular Subtypes of Breast Cancer with Histological Grade and Lymph Node Metastases in Indonesian Woman

Objective: Breast carcinoma is a heterogeneous disease which is rich in diversity. Molecular subtypes of breast cancer, histological grade and lymph node metastases are strong prognostic and predictive factors. In Indonesia, only a limited number of studies have investigated the correlation between molecular subtypes with histological grade and lymph node metastases. Methods: We analyzed 247 invasive breast carcinoma cases from the Anatomic Pathology Installation of Dr. Sardjito General Hospital Yogyakarta between 2012-2015. The slides were stained for estrogen receptors (ER), progesterone receptors (PR), HER2, Ki-67 and CK5/6 for classification into breast cancer subtypes (BCS). Histological grade using the Nottingham system and lymph node status were obtained from anatomic pathology records. The association between histological grade and lymph node status with BCS was examined with Chi-square tests. Results: The immunohistochemical features of 247 cases of women with invasive breast carcinoma were examined. There were 102 (41.3%) patients with Luminal A, 34 (13.8%) patients with Luminal B, 48 (19.4%) patients with HER2-positive, and 63 (25.5%) patients with triple negative breast cancer (TNBC). There were 148 (59.9%) patients with negative lymph node status and 99 (40.1%) with positive status. Among 63 TNBC cases, 37 (58.7%) patients were positive for CK5/6 staining (basal-like). Statistically, there were significant differences between histological grade and subtypes (p=0.013). However, no significant differences were found for lymph node metastases (p=0.540). Conclusion: Among subtypes, Luminal A has the highest frequency, followed by TNBC, HER2-positive and Luminal B. Histological grade was associated with molecular subtypes of breast carcinoma in Yogyakarta. Grade I was associated with Luminal A, while Grade III was associated with Luminal B, HER2 and TNBC subtypes.

BI-RADS 3-5 microcalcifications: prediction of lymph node metastasis of breast cancer

Purpose

To determine whether the clinicopathological parameters and Breast Imaging Reporting and Data System (BI-RADS) 3–5 microcalcifications differed between lymph node positive (LN (+)) and lymph node negative (LN (−)) invasive ductal carcinoma (IDC).

Results

For microcalcification-associated breast cancers, seven selected features (age, tumor size, Ki-67 status, lymphovascular invasion, calcification range, calcification diameter and calcification density) were significantly associated with LN status (all P < 0.05). Multivariate logistic regression analysis found that three risk factors (age: older vs. younger OR: 0.973 P = 0.006, tumor size: larger vs. smaller OR: 1.671, P < 0.001 and calcification density: calcifications > 20/cm² vs. calcifications ≤ 20/cm² OR: 1.698, P < 0.001) were significant independent predictors. This model had an area under the receiver operating characteristic curve (AUC) of 0.701. The nodal staging (N0 and N1 χ² = 5.701, P = 0.017; N0 and N2 χ² = 6.614, P = 0.013) was significantly positively associated with calcification density. The luminal B subtype had the highest risk of LN metastasis. Multivariate analysis demonstrated that calcification > 2 cm in range (OR: 2.209) and larger tumor size (OR: 1.882) were independently predictive of LN metastasis in the luminal B subtype (AUC = 0.667).

Materials and Methods

Mammographic images of 419 female breast cancer patients were included. Associations between the risk factors and LN status were evaluated using a Chi-square test, ANOVA and binary logistic regression analysis.

Conclusions

This study found that age, tumor size and calcifications density can be conveniently used to facilitate the preoperative prediction of LN metastasis. The luminal B subtype has the highest risk of LN metastasis among the microcalcification-associated breast cancers.

The combined pN stage and breast cancer subtypes in breast cancer: a better discriminator of outcome can be used to refine the 8th AJCC staging manual

BACKGROUND

pN stage and breast cancer subtypes (BCS) are both well-recognized prognostic indicators. Our previous work has highlighted that patients even with the same pN stage exhibited a significant survival difference in different BCS. Given this achievement, we hypothesized that a statistical interaction might exist between pN stage and BCS. The aim of this retrospective cohort study was to compare the prognostic value of the combined pN stage and BCS (pN_new stage) with either pN stage or BCS alone, and to determine if this combined new stage could serve as an alternative discriminator of outcome.

METHODS

We combined pN stage and BCS to create a new variable named pN_new stage and then divided it into four groups: pN0_new, pN1_new, pN2_new, and pN3_new. Survival analysis was performed with the use of the Kaplan-Meier method and the log-rank test was used for univariate analysis. For multivariate analysis, cox proportional hazard models were applied, allowing for the estimation of disease-free survival (DFS). To assess discriminatory accuracy of the models, we compared the area under the receiver-operating characteristic curve (AUROC), the Akaike information criterion (AIC), and the Bayesian information criterion (BIC) values. Then, we used this pN_new stage to generate a TN_newM staging system according to the 7th AJCC staging system.

RESULTS

A statistical interaction between pN stage and BCS was found. In multivariate survival analysis, the pN_new stage has been confirmed as an independent prognostic variable of 5-year DFS. The pN_new stage, with a smaller AIC or BIC value and larger AUROC, was a more powerful predictor of DFS than either pN stage or BCS alone. Results were validated in a separate cohort of patients. The TN_newM stage proposed in our present study was found comparable to the new 8th AJCC edition which includes anatomic T, N, and M plus tumor grade and the status of the biomarkers Her-2, ER, and PR with respect to prognostic value for breast cancer patients.

CONCLUSIONS

The pN_new stage (combined pN stage and BCS) appears to be a more powerful predictor and discriminator for the outcome of breast cancer, as compared to pN stage or BCS alone, and the TN_newM stage may serve as a simple, easy-to-use alternative to the 8th AJCC edition staging manual.

Predictive and Prognostic Brain Metastases Assessment in Luminal Breast Cancer Patients: FN14 and GRP94 from Diagnosis to Prophylaxis

FN14 has been implicated in many intracellular signaling pathways, and GRP94 is a well-known endoplasmic reticulum protein regulated by glucose. Recently, both have been associated with metastasis progression in breast cancer patients. We studied the usefulness of FN14 and GRP94 expression to stratify breast cancer patients according their risk of brain metastasis (BrM) progression. We analyzed FN14 and GRP94 by immunohistochemistry in a retrospective multicenter study using tissue microarrays from 208 patients with breast carcinomas, of whom 52 had developed BrM. Clinical and pathological characteristics and biomarkers expression in Luminal and non-Luminal patients were analyzed using a multivariate logistic regression model adjusted for covariates, and brain metastasis-free survival (BrMFS) was estimated using the Kaplan-Meier method and the Cox proportional hazards model. FN14 expression was associated with BrM progression mainly in Luminal breast cancer patients with a sensitivity (53.85%) and specificity (89.60%) similar to Her2 expression (46.15 and 89.84%, respectively). Moreover, the likelihood to develop BrM in FN14-positive Luminal carcinomas increased 36.70-fold (3.65-368.25, p = 0.002). Furthermore, the worst prognostic factor for BrMFS in patients with Luminal carcinomas was FN14 overexpression (HR = 8.25; 95% CI: 2.77-24.61; p = 0.00015). In these patients, GRP94 overexpression also increased the risk of BrM (HR = 3.58; 95% CI: 0.98-13.11; p = 0.054-Wald test). Therefore, FN14 expression in Luminal breast carcinomas is a predictive/prognostic biomarker of BrM, which combined with GRP94 predicts BrM progression in non-Luminal tumors 4.04-fold (1.19-8.22, p = 0.025), suggesting that both biomarkers are useful to stratify BrM risk at early diagnosis. We propose a new follow-up protocol for the early prevention of clinical BrM of breast cancer patients with BrM risk.

Axillary lymph node micrometastases decrease triple-negative early breast cancer survival

BACKGROUND

Triple-negative breast cancers (TNBCs) are the most deadly form of breast cancer (BC) subtypes. Axillary lymph node involvement (ALNI) has been described to be prognostic in BC taken as a whole, but its prognostic value in each subtype is unclear. We explored the prognostic impact of ALNI and especially of small size axillary metastases in early TNBCs.

METHODS

We analysed in this multicentre study all patients treated for early TNBC in 12 French cancer centres. We explored the correlation between clinicopathological data and ALNI, with a specific focus on the dichotomisation between macrometastases and occult metastases, which is defined as the presence of isolated tumour cells or micrometastases. The prognostic value of ALNI both in terms of disease-free survival (DFS) and overall survival (OS) was also explored.

RESULTS

We included 1237 TNBC patients. Five-year DFS and OS were 83.7% and 88.5%, respectively. The identified independent prognostic features for DFS were tumour size >20 mm (hazard ratio (HR)=1.86; 95% CI: 1.11-3.10, P=0.018), lymphovascular invasion (HR=1.69; 95% CI: 1.21-2.34, P=0.002) and ALNI both in case of macrometastases (HR=1.97; 95% CI: 1.38-2.81, P<0.0001) and occult metastases (HR=1.72; 95% CI: 1.1-2.71, P=0.019). DFS and OS were similar between tumours with occult metastases and macrometastases. Tumours presenting at least two pejorative features (out of ALNI, lymphovascular invasion and large tumour size) displayed a significantly poorer DFS in both the training set and validation set, independently of chemotherapy administration. Tumours with no more than one of the above-cited pejorative features had a 5-year OS of ⩾90% vs 70% for other cases (P<0.0001).

CONCLUSIONS

Axillary lymph node involvement is a key prognostic feature for early TNBC when isolated tumour cells were identified in lymph nodes. This impact is independent of chemotherapy use.

Chemokine axes in breast cancer: factors of the tumor microenvironment reshape the CCR7-driven metastatic spread of luminal-A breast tumors

Chemokine axes have been shown to mediate site-specific metastasis in breast cancer, but their relevance to different subtypes has been hardly addressed. Here, with the focus on the CCR7-CCL21 axis, patient datasets demonstrated that luminal-A tumors express relatively low CCR7 levels compared with more aggressive disease subtypes. Furthermore, lymph node metastasis was not associated with high CCR7 levels in luminal-A patients. The metastatic pattern of luminal-A breast tumors may be influenced by the way luminal-A tumor cells interpret signals provided by factors of the primary tumor microenvironment. Thus, CCR7-expressing human luminal-A cells were stimulated simultaneously by factors representing 3 tumor microenvironment arms typical of luminal-A tumors, hormonal, inflammatory, and growth stimulating: estrogen + TNF-α + epidermal growth factor. Such tumor microenvironment stimulation down-regulated the migration of CCR7-expressing tumor cells toward CCL21 and inhibited the formation of directional protrusions toward CCL21 in a novel 3-dimensional hydrogel system. CCL21-induced migration of CCR7-expressing tumor cells depended on PI3K and MAPK activation; however, when CCR7-expressing cancer cells were prestimulated by tumor microenvironment factors, CCL21 could not effectively activate these signaling pathways. In vivo, pre-exposure of the tumor cells to tumor microenvironment factors has put restraints on CCL21-mediated lymph node-homing cues and shifted the metastatic pattern of CCR7-expressing cells to the aggressive phenotype of dissemination to bones. Several of the aspects were also studied in the CXCR4-CXCL12 system, demonstrating similar patient and in vitro findings. Thus, we provide novel evidence to subtype-specific regulation of the CCR7-CCL21 axis, with more general implications to chemokine-dependent patterns of metastatic spread, revealing differential regulation in the luminal-A subtype.

Breast cancer metastasis and the lymphatic system

Breast cancer remains the leading cause of cancer mortality worldwide, despite a significant decline in death rates due to early detection. The majority of cancer mortalities are due to the metastasis of tumor cells to other organs. Metastasis or tumor cell dissemination occurs via the hematogenous and lymphatic systems. For many carcinomas, the dissemination of tumor cells via lymphatic drainage of the tumor is the most common metastatic route. Such lymphatic drainage collects at the regional lymph nodes and the dissection and pathological examination of these nodes for lodged cancer cells is the gold standard procedure to detect metastasis. The present report provides an overview of the lymphatic system and its clinical significance as a prognostic factor, in addition to the interactions between the primary tumor and its microenvironment, and the influence of genomic subtypes on the resulting organ-specific pattern of tumor cell dissemination. It also examines the seemingly protracted asymptomatic period, during which the disseminated cells remain dormant, leading to the manifestation of metastasis decades after the successful treatment of the primary tumor.

Reduced risk of axillary lymphatic spread in triple-negative breast cancer

We examined the association between the hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status of women with primary breast cancer and the risk of axillary lymph node (ALN) involvement at the time of diagnosis. Information on 20,009 women diagnosed with primary breast cancer between 2008 and 2012 was retrieved from the Danish Breast Cancer Cooperative Group database. The associations between clinical and pathological variables and ALN involvement at the time of diagnosis were evaluated in univariate and multivariate regression analyses, as well as the significance of tumor subtypes in ALN involvement. The risk of ALN metastases at the time of diagnosis was significantly reduced in HR-negative patients compared to HR-positive patients [adjusted odds ratio (OR) 0.69; 95 % CI 0.63-0.76; P = 0.0009]. A HER2-positive status was associated with an increased risk of ALN involvement at diagnosis compared to a HER2-negative status (OR 1.37; 95 % CI 1.24-1.50; P < 0.0001). An interaction between HER2 and HR was observed, with a HER2-positive status significantly associated with ALN involvement at the time of diagnosis only in HR-negative patients (P < 0.0001). The triple-negative breast cancer (TNBC) patients showed a significantly reduced risk of ALN involvement at the time of diagnosis compared to patients with HR-positive/HER2-negative tumors (OR 0.55; 95 % CI 0.49-0.62; P < 0.0001). The HR and HER2 statuses are significantly associated with ALN involvement at the time of diagnosis. Despite the poor prognosis, TNBC patients have a reduced risk of ALN involvement at the time of diagnosis compared to patients with other subtypes, when adjusting for other risk factors. This may indicate that TNBC tends to spread hematogenously rather than lymphogenously.

A histomorphologic predictive model for axillary lymph node metastasis in preoperative breast cancer core needle biopsy according to intrinsic subtypes

The aim of this study is construction of a pathologic nomogram that can predict axillary lymph node metastasis (LNM) for each intrinsic subtype of breast cancer with regard to histologic characteristics in breast core needle biopsy (CNB) for use in routine practice. A total of 534 CNBs with invasive ductal carcinoma classified into 5 intrinsic subtypes were enrolled. Eighteen clinicopathological characteristics and 8 molecular markers used in CNB were evaluated for construction of the best predictive model of LNM. In addition to conventional parameters including tumor multiplicity (P < .001), tumor size (P < .001), high histologic grade (P = .035), and lymphatic invasion (P = .017), micropapillary structure (P < .001), the presence of small cell-like crush artifact (P = .001), and overexpression of HER2 (P = .090) and p53 (P = .087) were proven to be independent predictive factors for LNM. A combination of 8 statistically independent parameters yielded the strongest predictive performance with an area under the curve of 0.760 for LNM. A combination of 6 independent variables, including tumor number, tumor size, histologic grade, lymphatic invasion, micropapillary structure, and small cell-like crush artifact produced the best predictive performance for LNM in luminal A intrinsic subtype (area under the curve, 0.791). Thus, adding these combinations of clinical and morphologic parameters in preoperative CNB is expected to enhance the accuracy of prediction of LNM in breast cancer, which might serve as another valuable tool in determining optimal surgical strategies for breast cancer patients.

Association between molecular subtypes and lymph node status in invasive breast cancer

BACKGROUND

The predictors for the involvement of lymph node (LN) have been widely studied. But the implication of the molecular type has not been well studied. Using the database of our institution, we investigated this relation.

METHODS

Patients with T1 and T2 primary breast cancer without distant metastasis were included in our study from 2012 Jan to 2013 Dec. All patients undertook the resection of the primary and the axillary lymph nodes (ALNs). We collected the clinical data including age at diagnosis, the status of ER, PR and HER2, tumor size, nodal status, and histological type. The relationship between demographic, tumor characteristics and lymph node status was evaluated.

RESULTS

814 patients were included in our study. The number and the percentage (in parentheses) of each type of breast cancer is as follows: Luminal A 230 (28.3%), Luminal Her2- 284 (34.9%), Luminal Her2+ 104 (12.8%), HER2+ 72 (8.8%), TNBC 124 (15.2%). On univariate and multivariate analysis, tumor size and tumor subtype show statistical significance with LN involvement. Using TNBC as a reference, both Luminal B type (Luminal HER2-, Luminal HER2+) shows significant higher probability of LN involvement.

CONCLUSIONS

LN involvement is an intrinsic characteristic for molecular subtype of breast cancer. Triple positive and triple negative breast cancer accounts the most and least possibility of LN involvement.

The prognostic value of lymph node status among breast cancer subtypes

BACKGROUND

Breast cancer subtypes (BCSs) are predictive of responses to specific therapies and of prognostic value for clinical outcomes. This study aimed to evaluate the relative 5-year overall survival (OS) and recurrence-free survival rates (RFS) based on lymph node (LN) status among BCSs.

METHODS

Medical records of 1,399 breast cancer patients treated from 2006 to 2011 were retrospectively reviewed. Pathologic findings, type of treatment, and OS and RFS were evaluated for 5 molecular subtypes.

RESULTS

Luminal A cancers accounted for 40.9% of the total, luminal B 21.5%, luminal human epidermal growth factor receptor 2 (HER2) 24.8%, HER2 6.9%, and triple negative 5.9%, of which 30% (n = 395) were LN positive. Analysis of patient characteristics showed significant differences among BCSs in age, tumor size, LN status, chemotherapy, and endocrine therapy. Adjustments for age and tumor size revealed significant differences in OS according to the nodal status in luminal A, luminal B, and luminal HER2 subtypes, and with RFS in the luminal B and luminal HER2 subtypes.

CONCLUSION

LN status in BCS presents an important prognostic factor of OS and RFS.