Incidence of Pathologic Nodal Disease in Clinically Node-Negative, Microinvasive or T1a Breast Cancers

BACKGROUND

Axillary staging in early-stage breast cancer can impact adjuvant treatment options but also has associated morbidity. The incidence of pathologic nodal positivity (pN+) in patients with microinvasive or T1a disease is poorly characterized and the value of sentinel node biopsy remains controversial.

METHODS

Women with cN0 and pathologic microinvasive or T1a cancer who underwent upfront surgery were identified from the National Cancer Database. Pathologic nodal stage at the time of surgery was the primary outcome. Multivariable logistic modeling was used to assess predictors of pN+.

RESULTS

Overall, 141,840 women were included; 139,206 had pathologic node-negative (pN0) disease and 2634 had pN+ disease. Rates of pN+ disease differed by receptor status, with the highest rates in hormone receptor-negative/human epidermal growth factor receptor 2-positive (HR-/HER2+) disease compared with triple-negative breast cancer (TNBC), HR-positive/HER2-negative (HR+/HER2-), and triple positive breast cancer. Rates of pN+ were also higher with lobular histology compared with ductal histology. Multivariable analysis demonstrated that compared with White women, Black women had higher odds of pN+ disease, and compared with women <50 years of age, women >70 years of age had higher odds of pN+ disease. Compared with women with HR+/HER2- disease, women with TNBC, triple-positive breast cancer, and HR-/HER2+ all had lower odds, and women with invasive lobular disease had higher odds compared with women with invasive ductal disease. Women with significant comorbidities also had higher odds of node positivity.

CONCLUSION

Over 90% of patients with clinically node-negative, microinvasive and T1a breast cancer remain pathologically node-negative following axillary staging. However, higher rates of nodal disease were found among Black patients, older patients, and patients with lobular cancer and significant comorbidities.

Axillary lymph node metastasis in pure mucinous carcinoma of breast: clinicopathologic and ultrasonographic features

BACKGROUND

The purpose of this research is to study the sonographic and clinicopathologic characteristics that associate with axillary lymph node metastasis (ALNM) for pure mucinous carcinoma of breast (PMBC).

METHODS

A total of 176 patients diagnosed as PMBC after surgery were included. According to the status of axillary lymph nodes, all patients were classified into ALNM group (n = 15) and non-ALNM group (n = 161). The clinical factors (patient age, tumor size, location), molecular biomarkers (ER, PR, HER2 and Ki-67) and sonographic features (shape, orientation, margin, echo pattern, posterior acoustic pattern and vascularity) between two groups were analyzed to unclose the clinicopathologic and ultrasonographic characteristics in PMBC with ALNM.

RESULTS

The incidence of axillary lymph node metastasis was 8.5% in this study. Tumors located in the outer side of the breast (upper outer quadrant and lower outer quadrant) were more likely to have lymphatic metastasis, and the difference between the two group was significantly (86.7% vs. 60.3%, P = 0.043). ALNM not associated with age (P = 0.437). Although tumor size not associated with ALNM(P = 0.418), the tumor size in ALNM group (32.3 ± 32.7 mm) was bigger than non-ALNM group (25.2 ± 12.8 mm). All the tumors expressed progesterone receptor (PR) positively, and 90% of all expressed estrogen receptor (ER) positively, human epidermal growth factor receptor 2 (HER2) were positive in two cases of non-ALNM group. Ki-67 high expression was observed in 36 tumors in our study (20.5%), and it was higher in ALNM group than non-ALNM group (33.3% vs. 19.3%), but the difference wasn't significantly (P = 0.338).

CONCLUSIONS

Tumor location is a significant factor for ALNM in PMBC. Outer side location is more easily for ALNM. With the bigger size and/or Ki-67 higher expression status, the lymphatic metastasis seems more likely to present.

Assessment of the axilla in women with early-stage breast cancer undergoing primary surgery: a review

Sentinel node biopsy (SNB) is routinely performed in people with node-negative early breast cancer to assess the axilla. SNB has no proven therapeutic benefit. Nodal status information obtained from SNB helps in prognostication and can influence adjuvant systemic and locoregional treatment choices. However, the redundancy of the nodal status information is becoming increasingly apparent. The accuracy of radiological assessment of the axilla, combined with the strong influence of tumour biology on systemic and locoregional therapy requirements, has prompted many to consider alternative options for SNB. SNB contributes significantly to decreased quality of life in early breast cancer patients. Substantial improvements in workflow and cost could accrue by removing SNB from early breast cancer treatment. We review the current viewpoints and ideas for alternative options for assessing and managing a clinically negative axilla in patients with early breast cancer (EBC). Omitting SNB in selected cases or replacing SNB with a non-invasive predictive model appear to be viable options based on current literature.

Predictors of nodal metastases in early stage HER2+ breast cancer: Deciding on treatment approach with neoadjuvant chemotherapy vs. upfront surgery

BACKGROUND

The purpose of this study is to evaluate preoperative predictors of nodal metastases in patients with early-stage, HER2-positive (HER2+) breast cancer.

METHODS

The SEER Database was queried to identify women with a first diagnosis of stage I-II (T1-T2) HER2-positive breast cancer treated with upfront surgery in 2018. Multivariable logistic regression was used to identify clinical characteristics independently associated with nodal involvement.

RESULTS

Overall, 3333 women with stage I-II HER2+ breast cancer met inclusion criteria and were included in the study. The median age at diagnosis was 59 years (IQR, 51-69 years). Most patients underwent breast-conserving surgery (60.9%), with a median of 3 (IQR 2-4) axillary lymph nodes removed. On final pathology, 762 (22.9%) of T1-T2 HER2+ patients were node positive; 2.7% pN0[i+], 3.7% pN1mi, 15.1% pN1, and 1.4% pN2. Women less than 40 years and those between 40 and 49 years showed the highest proportion of axillary lymph node metastasis, in 33.7% and 30.7% respectively, and declining with age (p < 0.001). Patients with triple-positive breast cancer had the highest rates of nodal involvement (24.8%), compared to 20.7% ER+/PR-/HER2+ and 19.6% of HER2-enriched patients (p = 0.006). On adjusted analysis, age, biologic subtype, tumour size, and type of surgery remained independent predictors of nodal involvement. On subgroup analysis, women under age 50 with T1c HER2-enriched or triple-positive breast cancer had a 33% and 35% incidence of nodal involvement, which declined with age.

CONCLUSIONS

The likelihood of pathologic nodal involvement in early-stage HER2+ breast cancer is contingent on age, ER/PR status, and tumour size.

Factors Predicting Positive Sentinel Lymph Node Biopsy in Clinically Node-Negative Breast Cancer

Purpose

Sentinel lymph node (SLN) biopsy (SLNB) is the standard tool to stage the axilla of breast cancer patients. This study aimed to identify the predictors of positive SLNB in patients with clinically node-negative breast cancer.

Patients and Methods

A retrospective, single-institution cohort of patients with early-stage breast cancer without clinically identifiable axillary lymphadenopathy was chosen from January 2010 to December 2018. Logistic regression was used to identify possible predictors of positive SLNB.

Results

Four hundred and seventy patients were identified; their mean age was 50±11 years. Most patients had the following characteristics: invasive ductal carcinoma (n=382, 81.3%), unilateral tumor (n=461, 98.1%), unifocal disease (n=351, 74.7%), intermediate grade (n=276, 59.0%), and estrogen and progesterone receptor positivity with human epidermal growth factor receptor 2 negativity (n=305, 64.9%). The mean size of the breast mass was 2.3±1.5 cm. SLNB was positive in 128 (27.2%) cases. The mean number of SLNs was 2±1.2. Axillary lymph node dissection was performed in 109 patients. The mean number of lymph nodes removed was 15±6. In 66 (60.6%) of the 109 patients with metastatic axillary nodes, only the SLNs were found to be positive. The number of SLNs, tumor size, tumor grade, receptor status, prominent axillary lymph nodes, and lymphovascular invasion predicted positive SLNB (P = 0.01, 0.03, 0.03, and 0.04 and <0.001 and <0.001, respectively).

Conclusion

Our results suggest that a number of histopathological and radiological characteristics of breast cancer can predict SLNB positivity in clinically node-negative breast cancer patients.

Contrast enhanced magneto-motive ultrasound in lymph nodes - modelling and pre-clinical imaging using magnetic microbubbles

Despite advances in MRI, the detection and characterisation of lymph nodes in rectal cancer remains complex, especially when assessing the response to neo-adjuvant treatment. An alternative approach is functional imaging, previously shown to aid characterization of cancer tissues. We report proof-of-concept of the novel technique Contrast-Enhanced Magneto-Motive Ultrasound (CE-MMUS) to recover information relating to local perfusion and lymphatic drainage, and interrogate tissue mechanical properties through magnetically induced tissue deformations. The feasibility of the proposed application was explored using a combination of pre-clinical ultrasound imaging and finite element analysis. First, contrast enhanced ultrasound imaging on one wild type mouse recorded lymphatic drainage of magnetic microbubbles after bolus injection. Second, preliminary CE-MMUS data were acquired as a proof of concept. Third, the magneto-mechanical interactions of a magnetic microbubble with an elastic solid were simulated using finite element software. Accumulation of magnetic microbubbles in the inguinal lymph node was verified using contrast enhanced ultrasound, with peak enhancement occurring 3.7 s post-injection. Preliminary CE-MMUS indicates the presence of magnetic contrast agent in the lymph node. The finite element analysis explores how the magnetic force is transferred to motion of the solid, which depends on elasticity and bubble radius, indicating an inverse relation with displacement. Combining magnetic microbubbles with MMUS could harness the advantages of both techniques, to provide perfusion information, robust lymph node delineation and characterisation based on mechanical properties. Clinical Relevance- Robust detection and characterisation of lymph nodes could be aided by visualising lymphatic drainage of magnetic microbubbles using contrast enhanced ultrasound imaging and magneto-motion, which is dependent on tissue mechanical properties.

Modelling of magnetic microbubbles to evaluate contrast enhanced magnetomotive ultrasound in lymph nodes - a pre-clinical study

OBJECTIVES

Despite advances in MRI the detection and characterisation of lymph nodes in rectal cancer remains complex, especially when assessing the response to neoadjuvant treatment. An alternative approach is functional imaging, previously shown to aid characterisation of cancer tissues. We report proof of concept of the novel technique Contrast-Enhanced Magneto-Motive Ultrasound (CE-MMUS) to recover information relating to local perfusion and lymphatic drainage, and interrogate tissue mechanical properties through magnetically induced deformations.

METHODS

The feasibility of the proposed application was explored using a combination of experimental animal and phantom ultrasound imaging, along with finite element analysis. First, contrast-enhanced ultrasound imaging on one wild type mouse recorded lymphatic drainage of magnetic microbubbles after bolus injection. Second, tissue phantoms were imaged using MMUS to illustrate the force- and elasticity dependence of the magnetomotion. Third, the magnetomechanical interactions of a magnetic microbubble with an elastic solid were simulated using finite element software.

RESULTS

Accumulation of magnetic microbubbles in the inguinal lymph node was verified using contrast enhanced ultrasound, with peak enhancement occurring 3.7 s post-injection. The magnetic microbubble gave rise to displacements depending on force, elasticity, and bubble radius, indicating an inverse relation between displacement and the latter two.

CONCLUSION

Combining magnetic microbubbles with MMUS could harness the advantages of both techniques, to provide perfusion information, robust lymph node delineation and characterisation based on mechanical properties.

ADVANCES IN KNOWLEDGE

(a) Lymphatic drainage of magnetic microbubbles visualised using contrast-enhanced ultrasound imaging and (b) magnetomechanical interactions between such bubbles and surrounding tissue could both contribute to (c) robust detection and characterisation of lymph nodes.

An Improved Nomogram to Reduce False-Positive Biopsy Rates of Breast Imaging Reporting and Data System Ultrasonography Category 4A Lesions

BACKGROUND

The NCCN clinical guidelines recommended core needle biopsy for breast lesions classified as Breast Imaging Reporting and Data System (BI-RADS) 4, while category 4A lesions are only 2-10% likely to be malignant. Thus, a large number of biopsies of BI-RADS 4A lesions were ultimately determined to be benign, and those unnecessary biopsies may incur additional costs and pains. However, it is important to emphasize that the current risk prediction model focuses primarily on the details and complex risk features of US or MG findings, which may be difficult to apply in order to benefit from the model. To stratify and manage BI-RADS 4A lesions effectively and efficiently, a more effective and practical predictive model must be developed.

METHODS

We retrospectively analyzed 465 patients with BI-RADS ultrasonography (US) category 4A lesions, diagnosed between January 2019 and July 2019 in Tianjin Medical University Cancer Institute and Hospital and National Clinical Research Center for Cancer. Univariate and multivariate logistic regression analyses were conducted to identify risk factors. To stratify and predict the malignancy of BI-RADS 4A lesions, a nomogram combining the risk factors was constructed based on the multivariate logistic regression results. In order to determine the predictive performance of our predictive model, we used the concordance index (C-index), calibration curve, and receiver operating characteristic (ROC), and the decision curve analysis (DCA) to assess the clinical benefits.

RESULTS

Based on our analysis, 16.3% (76 out of 465) of patients were pathologically diagnosed with malignant lesions, while 83.6% (389 out of 465) were diagnosed with benign lesions. According to univariate and multivariate logistic regression analysis, age (OR = 3.414, 95%CI:1.849-6.303), nipple discharge (OR = .326, 95%CI:0.157-.835), palpable lesions (OR = 1.907, 95%CI:1.004-3.621), uncircumscribed margin (US) (OR = 1.732, 95%CI:1.033-2.905), calcification (mammography, MG) (OR = 2.384, 95%CI:1.366-4.161), BI-RADS(MG) (OR = 5.345, 95%CI:2.934-9.736) were incorporated into the predictive nomogram (C-index = .773). There was good agreement between the predicted risk and the observed probability of recurrence. Furthermore, we determined that 153 was the best cutoff score for distinguishing between patients in the low- and high-risk groups. Malignant lesions were significantly more prevalent in high-risk patients than in low-risk patients.

CONCLUSION

Based on clinical, US, and MG features, we present a predictive nomogram to reliably predict the malignancy risk of BI-RADS(US) 4A lesions, which may assist clinicians in the selection of patients at low risk of malignancy and reduce the number of false-positive biopsies.

Predictors of Sentinel Lymph Node Metastasis in Postoperatively Upgraded Invasive Breast Carcinoma Patients

Sentinel lymph node (SLN) biopsy (SLNB) usually need not be simultaneously performed with breast-conserving surgery (BCS) for patients diagnosed with ductal carcinoma in situ (DCIS) by preoperative core needle biopsy (CNB), but must be performed once there is invasive carcinoma (IC) found postoperatively. This study aimed to investigate the factors contributing to SLN metastasis in underestimated IC patients with an initial diagnosis of DCIS by CNB. We retrospectively reviewed 1240 consecutive cases of DCIS by image-guided CNB from January 2010 to December 2017 and identified 316 underestimated IC cases with SLNB. Data on clinical characteristics, radiologic features, and final pathological findings were examined. Twenty-three patients (7.3%) had SLN metastasis. Multivariate analysis indicated that an IC tumor size > 0.5 cm (odds ratio: 3.11, p = 0.033) and the presence of lymphovascular invasion (odds ratio: 32.85, p < 0.0001) were independent risk predictors of SLN metastasis. In the absence of any predictors, the incidence of positive SLNs was very low (2.6%) in the total population and extremely low (1.3%) in the BCS subgroup. Therefore, omitting SLNB may be an acceptable option for patients who initially underwent BCS without risk predictors on final pathological assessment. Further prospective studies are necessary before clinical application.

A Model to Predict the Risk of Lymph Node Metastasis in Breast Cancer Based on Clinicopathological Characteristics

Background

Sentinel lymph node biopsy (SLNB) and axillary lymph node dissection (ALND) may cause lymphatic and nervous system side effects in patients with breast cancer. It is imperative to develop a model to evaluate the risk of sentinel lymph node metastasis to avoid unnecessary operation.

Patients and Methods

A total of 2705 cases of female breast cancer patients enrolled in this retrospective study. We divided into the training group (SLNB group) and the validation group (ALND group) to analyze the relathionship between lymph node metastasis and clinical-pathological factors. Logistic regression analysis was performed to verify the variables which involved in ALN metastasis and established a prediction model. ROC curves were employed to evaluate the predictive ability of the model.

Results

In the SLNB group, 9 variables, including pathological type, histological grade, tumor size, hormone receptor, HER-2, Ki-67, multifocality, and molecular subtypes, were related to breast cancer ALN metastasis. Clinically negative lymph nodes, favorable histologic type, tumor size <2 cm, and Ki-67 <15% were at very low risk for lymph node metastasis. The AUC of the validation group was 0.786.

Conclusion

We successfully establish a mathematics model to predict lymph node metastasis of breast cancer. Axillary surgery should be individual with preoperative clinical characteristics, especially for patients with a longer life expectancy.

Peritumoral immune infiltrates in primary tumours are not associated with the presence of axillary lymph node metastasis in breast cancer: a retrospective cohort study

Background

The axillary lymph nodes (ALNs) in breast cancer patients are the body regions to where tumoral cells most often first disseminate. The tumour immune response is important for breast cancer patient outcome, and some studies have evaluated its involvement in ALN metastasis development. Most studies have focused on the intratumoral immune response, but very few have evaluated the peritumoral immune response. The aim of the present article is to evaluate the immune infiltrates of the peritumoral area and their association with the presence of ALN metastases.

Methods

The concentration of 11 immune markers in the peritumoral areas was studied in 149 patients diagnosed with invasive breast carcinoma of no special type (half of whom had ALN metastasis at diagnosis) using tissue microarrays, immunohistochemistry and digital image analysis procedures. The differences in the concentration of the immune response of peritumoral areas between patients diagnosed with and without metastasis in their ALNs were evaluated. A multivariate logistic regression model was developed to identify the clinical-pathological variables and the peritumoral immune markers independently associated with having or not having ALN metastases at diagnosis.

Results

No statistically significant differences were found in the concentrations of the 11 immune markers between patients diagnosed with or without ALN metastases. Patients with metastases in their ALNs had a higher histological grade, more lymphovascular and perineural invasion and larger-diameter tumours. The multivariate analysis, after validation by bootstrap simulation, revealed that only tumour diameter (OR = 1.04; 95% CI [1.00–1.07]; p = 0.026), lymphovascular invasion (OR = 25.42; 95% CI [9.57–67.55]; p < 0.001) and histological grades 2 (OR = 3.84; 95% CI [1.11–13.28]; p = 0.033) and 3 (OR = 5.18; 95% CI [1.40–19.17]; p = 0.014) were associated with the presence of ALN metastases at diagnosis. This study is one of the first to study the association of the peritumoral immune response with ALN metastasis. We did not find any association of peritumoral immune infiltrates with the presence of ALN metastasis. Nevertheless, this does not rule out the possibility that other peritumoral immune populations are associated with ALN metastasis. This matter needs to be examined in greater depth, broadening the types of peritumoral immune cells studied, and including new peritumoral areas, such as the germinal centres of the peritumoral tertiary lymphoid structures found in extensively infiltrated neoplastic lesions.

A Study Correlating the Tumor Site and Size with the Level of Axillary Lymph Node Involvement in Breast Cancer

BACKGROUND

Breast cancer is the leading cancer in women. The most common histologic type of breast cancer is infiltrating ductal carcinoma. The mainstay of the treatment of breast cancer is surgery when the tumor is localized, followed by chemotherapy as well as radiotherapy (when indicated) and in estrogen receptor and progesterone receptor positive tumors, adjuvant hormonal therapy.

AIMS AND OBJECTIVES

The aim of this study is to correlate tumor site and size with the level of axillary lymph node involvement (ALNI) in early and locally advanced breast cancer.

MATERIALS AND METHODS

This prospective and observational study was conducted on fifty female patients of carcinoma breast with early and locally advanced breast cancer.

RESULTS

The age distribution showed two peaks at 41-50 years and 51-60 years with 42 and 24 patients, respectively, in both the age groups. Preoperative lymph node positivity by ultrasonography matched with postoperative histopathological examination (HPE) report. Preoperative ultrasonographically determined tumor size was similar to the final histopathological T stage.

CONCLUSION

As size of tumor increases, there is an increase in ALNI which suggests that nodal metastasis is indicative of tumor chronology. Ultrasonography is a good tool to objectively measure tumor size and lymph node involvement preoperatively. Quadrant of involvement can emerge as a clinically useful prognostic cancer in breast cancer as there is a higher incidence of lymph node positivity with increasing size of the breast tumor and for tumors located at the upper outer quadrant of the breast.

Correlation of Conventional Ultrasound Characteristics of Breast Tumors With Axillary Lymph Node Metastasis and Ki-67 Expression in Patients With Breast Cancer

OBJECTIVES

To explore the association between the ultrasound (US) characteristics of breast tumors with axillary lymph node metastasis (ALNM) and Ki-67 expression in patients with breast cancer.

METHODS

In total, 527 consecutive patients with breast cancer who had undergone US examinations and curative surgery with axillary lymph node evaluations were included. The size, shape, aspect ratio, margin, internal echo, internal calcification, posterior echo attenuation, lymphatic hilar structure, cortical thickness, and blood flow of the axillary lymph nodes or primary breast lesions were observed with conventional US. Pathologic prognostic factors, including the histologic type of the tumor, histologic grade, estrogen and progesterone receptor status, lymph node status, and Ki-67 expression were determined. A logistic regression model was used to evaluate whether the US characteristics of primary breast lesions were associated with ALNM and Ki-67 expression.

RESULTS

The maximum tumor diameter (odds ratio [OR], 1.54; 95% confidence interval [CI], 1.05-2.27; P = .028), tumor margin (OR, 2.89; 95% CI, 1.69-4.94; P < .001), internal echo (OR, 2.17; 95% CI, 1.47-3.20; P < .001), and Ki-67 status (OR, 3.57; 95% CI, 2.29-5.58; P < .001) had significant value as independent predictors of ALNM. Only the internal echo (OR, 1.95; 95% CI, 1.28-2.95; P = .002) of breast cancer was an independent predictor of the Ki-67 status. The heterogeneity in the internal echo indicated faster cancer cell proliferation and was associated with a worse prognosis in patients with breast carcinoma.

CONCLUSIONS

Certain conventional US characteristics may be useful predictors of ALNM and the Ki-67 status in patients with breast cancer.

Feasibility of using negative ultrasonography results of axillary lymph nodes to predict sentinel lymph node metastasis in breast cancer patients

Knowledge of the pathology of axillary lymph nodes (ALN) in breast cancer patients is critical for determining their treatment. Ultrasound is the best noninvasive evaluation for the ALN status. However, the correlation between negative ultrasound results and the sentinel lymph nodes (SLN) pathology remains unknown. To test the hypothesis that negative ultrasound results of ALN predict the negative pathology results of SLN in breast cancer patients, we assessed the association between ALN ultrasonography‐negative results and the SLN pathology in 3115 patients with breast cancer recruited between October 2010 and April 2016 from a single cancer center, prospective database. Of these patients who met the inclusion criteria, 2317 (74.4%) had no SLN pathological metastasis. In the univariate analysis, other 798 patient with positive SLN tended to be under age 40 and premenopausal, having large tumor sizes (>2 cm), higher histological grade of primary tumor, positive hormone receptors, and negative HER‐2 status (P < .05 for all). In the multivariate analysis, menstrual status, tumor size, ER status and histological types of primary tumor remained to be independent predictors for SLN pathological metastasis. The area under curve (AUC) was 0.658 (95% CI = 0.637‐0.679), P > .05. In conclusion, only a 74.4% consistency between ALN ultrasonography‐negative results and negative pathological SLN results, although menstrual status, tumor size, histologic subtypes of primary tumor and ER status were found to be statistically independent predictors of positive SLN among patients negative for ALN ultrasonography. Therefore, the present study suggests that negative ultrasound results of ALN do not adequately predict the negative pathology results of SLN in breast cancer patients.

Can Nomograms Predict Preoperative Axillary Lymph Node Metastasis in Patients With Breast Cancer to Guide Second Look Ultrasonography?

OBJECTIVES

The low sensitivity of ultrasonography (US) for diagnosing axillary lymph node metastasis in patients with breast cancer has led to the development of multiple tools in an attempt to increase preoperative sensitivity, including second-look US. We compared axillary lymph node metastasis predictor scores with postsurgical findings, using the Memorial Sloan Kettering Cancer Center (MSKCC; New York, NY) and Evidencio (www.evidencio.com) nomograms: 2 freely available online predictor tools.

METHODS

We retrospectively evaluated 450 patients with breast cancer and analyzed data from 194 patients. Sonograms were evaluated to measure lymph node cortical thickness, transverse diameter, and hilum status. Patients were divided into 3 groups: namely 0, 1, and 2 based on the number of postoperative positive nodes (0, 1 and ≥2, respectively). One-way analysis of variance was used to analyze the differences in mean scores across the 3 nodal groups for both nomograms. P < .05 was considered statistically significant.

RESULTS

There were significant differences in mean scores across the 3 nodal groups when using MSKCC (P < .001) as well as Evidencio (P < .001). However, there was an overlap of scores across the 3 groups; thus, mutually exclusive values were not obtained. A strong positive correlation was found between MSKCC and Evidencio (P < 0.001). Tumor size and the presence of lymphovascular invasion were significantly associated with axillary nodal disease (P < .001; P = .003, respectively).

CONCLUSIONS

The use of nomograms to predict axillary nodal involvement in patients with breast cancer can guide discussions, but in their present state, these scores cannot guide clinical decisions or direct second-look US of axilla.

Prognostic Factors on the Positivity for Metastases of the Axillary Lymph Nodes from Primary Breast Cancer

AIM

The aim of the study was to identify the impact of T stage, the presence of estrogen, progesterone, HER2neu receptors and the values of the Ki67 on the positivity for metastases of the axillary lymph nodes, from primary breast cancer.

MATERIAL AND METHODS

290 surgically treated patients for breast cancer were included in the study. All cases have been analyzed by standard histological analysis including microscopic analysis on standard H&E staining. For determining the molecular receptors - HER2neu, ER, PR, p53 and Ki67, immunostaining by PT LINK immunoperoxidase has been done.

RESULTS

Patients age was ranged between 18-90 years, average of 57.6+11.9. The mean size of the primary tumor in the surgically treated patient was 30.27 + 18.3 mm. On dissection from the axillary pits 8 to 39 lymph nodes were taken out, an average of 13.81+5.56. Metastases have been found in 1 to 23 lymph nodes, an average 3.14+4.71. In 59% of the patients there have been found metastases in the axillary lymph nodes. The univariate regression analysis showed that the location, size of tumor, differentiation of the tumor, stage, the value of the Ki67 and presence of lymphovascular invasion influence on the positivity of the axillary lymph nodes. The presence of the estrogen receptors, progesterone receptors and HER2neu receptors showed that they do not have influence on the positivity for metastatic deposits in axillary lymph nodes. The multivariate model and the logistic regression analysis as independent significant factors or predictors of positivity of the axillary lymph nodes are influenced by the tumor size and the positive lymphovascular invasion.

CONCLUSION

Our study showed that the involving of the axillary lymph nodes is mainly influenced by the size of the tumor and the presence of lymphovascular invasion in the tumor. Ki67 determined proliferative index in the univariate analysis points the important influence of positivity in the axillary lymph nodes, but not in the multivariate regressive analysis.

Correlation of Various Biomarkers with Axillary Nodal Metastases: Can a Panel of Such Biomarkers Guide Selective Use of Axillary Surgery in T1 Breast Cancer?

To evaluate the correlation of various clinic-pathological variables with axillary nodal involvement in T1 breast cancer & to identify a sub-group of T1 cancers, on the basis of observed variables, with a low risk of axillary nodal metastases. Clinico-pathological variables observed included tumor size, lymphovascular invasion (LVI), histological grade of tumor, tumor palpability, estrogen/progesterone (ER/PR) & her2/neu receptors, age, family history, histological type of tumor, axillary nodal metastases for 100 patients without clinically palpable nodes who underwent axillary lymph node dissection in Bombay Hospital & Medical Research Center from March, 2009. Data compiled was analyzed by univariate & multivariate analysis. All the variables viz. tumor size, LVI, histological grade, tumor palpability & ER/PR/Her2 receptor profile, which were found to be significantly associated with axillary lymph node involvement (ALNI) on univariate analysis were also found to be independent predictors of ALNI on multivariate analysis. Age of the patient, family history & histological type of tumor were not significantly correlated with ALNI. None of the 12 patients with tumor biomarker profile of T1a-b tumors without LVI & with histological grade I, had ALNI. The risk of ALNI can be predicted by using various tumor biomarker variables. Based on the predicted risk of ALNI, the management strategy for axilla can be individualized. The omission of operative axillary staging may be considered in patients with low predictive risk of ALNI.

Patterns of axillary lymph node metastases and recurrent disease in grade 1 breast cancer in a New Zealand cohort: Does ethnicity matter?

BACKGROUND

In New Zealand, Māori and Pacific women are more likely than New Zealand/European women to present at a younger age with larger tumours and metastatic disease. Survival rates are also differential by ethnicity. Many factors are believed to be responsible for this including differences in comorbidities, delays to presentation and delays in treatment. It is unclear whether these differences exist amongst women with grade 1 cancer in New Zealand. Therefore, we examined patterns of axillary nodal involvement, recurrent disease and mortality in grade 1 breast cancer in New Zealand women, and whether ethnicity was an important predictor for any of these outcomes.

METHOD

Data was retrieved from the Auckland Breast Cancer Registry (ABCR) and the Waikato Breast Cancer Registry (WBCR) which are prospective, population-based databases. All women newly diagnosed with grade 1 primary invasive breast cancer between 1 June 2000 and 31 May 2013 were identified from the two registries.

RESULTS

There were 2857 grade 1 breast cancers diagnosed over this time period. Axillary lymph nodes were involved in 19.0% of women, and 5.1% developed recurrent disease (locoregional or distant). Pacific and Māori women were more likely than NZ European women to have larger tumours and lymphovascular invasion (LVI). Predictors for axillary node involvement were tumour size greater than 10mm, LVI and non-screen detected cancers. Tumour size greater than 10mm, lobular carcinoma and BCS without radiotherapy were predictive of recurrent and or metastatic disease. Ethnicity was not observed to be an independent predictor for axillary nodal involvement, recurrent and/or metastatic disease, or breast cancer specific mortality amongst New Zealand women with grade 1 breast cancer.

CONCLUSION

Ethnicity was not a predictor of axillary node involvement, recurrent disease or mortality in grade 1 breast cancer in our population.

Breast cancer subtypes can be determinant in the decision making process to avoid surgical axillary staging: A retrospective cohort study

INTRODUCTION

The need for performing axillary lymph-node dissection in early breast cancer when the sentinel lymph node (SLN) is positive has been questioned in recent years. The purpose of this study was to identify a low-risk subgroup of early breast cancer patients in whom surgical axillary staging could be avoided, and to assess the probability of having a positive lymph-node (LN).

METHODS

We evaluated the cohort of 612 consecutive women affected by early breast cancer. We considered age, tumor size, histological grade, vascular invasion, lymphatic invasion and cancer subtype (Luminal A, Luminal B HER-2+, Luminal B HER-2-, HER-2+, and Triple Negative) as variables for univariate and multivariate analyses to assess probability of there being a positive SLN o nonsentinel lymph node (NSLN). Chi-square, Fisher's Exact test and Student's t tests were used to investigate the relationship between variables; whereas logit models were used to estimate and quantify the strength of the relationship among some covariates and SLN or the number of metastases.

RESULTS

A significant positive effect of vascular invasion and lymphatic invasion (odds ratios are 4 and 6), and a negative effect of TN (odds ratios is 10) were noted. With respect to positive NSLN, size alone has a significant (positive) effect on tumor presence, but focusing on the number of metastases, also age has a (negative) significant effect.

CONCLUSION

This work shows correlation between subtypes and the probability of having positive SLN. Patients not expressing vascular invasion, lymphatic invasion and, moreover, a triple-negative tumor subtype may be good candidates for breast conservative surgery without axillary surgical staging.

Comparison between invasive breast cancer with extensive peritumoral vascular invasion and inflammatory breast carcinoma: a clinicopathologic study of 161 cases

OBJECTIVES

Extensive peritumoral neoplastic lymphovascular invasion (ePVI) is a marker of aggressiveness in invasive breast carcinoma (BC).

METHODS

We explored the impact of ePVI on different BC subtypes. In a total of 2,116 BCs, 91 ePVI-BCs, 70 inflammatory breast carcinomas (IBCs), and 114 casual BCs as a control group (CG-BC) were recruited.

RESULTS

Patients affected by ePVI-BC were younger, had larger tumors, higher histologic grade, elevated Ki-67 score, Her2/neu overexpressed, and more lymph node metastases compared with CG-BC (P < .001). Interestingly, only younger mean age at diagnosis differentiated patients with ePVI-BC from patients affected by IBC. ePVI-BC showed a clinical outcome intermediate between the prognoses of IBC and CG-BC.

CONCLUSIONS

Results suggest that ePVI-BC and IBC may share some pathologic processes, providing a novel perspective on the heterogeneity of BC. Epidemiologic data and molecular studies on gene expression features are needed to rationally classify these tumors into their identified subtypes.

Tumor characteristics of breast cancer in predicting axillary lymph node metastasis

Background

Tumor characteristics was sought to be related to axillary lymph node metastasis (ALNM), the paramount prognostic factor in patients with invasive breast cancer. This study was aimed to identify the ALNM-associated tumor characteristics and to determine the predictive clinical pathway.

Material/Methods

Data from 1325 patients diagnosed with invasive breast cancer between January 2004 and January 2010 were retrospectively reviewed. The structure equation model (SEM) was used to build the predictive clinical pathway.

Results

Among the factors found in the final model, the status of human epidermal growth factor receptor 2 is the primary influence on ALNM through histology grade (β=0.18), followed by tumor size (β=0.16). Tumor size was highly relevant to lymphovascular invasion (LVI) and influenced ALNM through LVI (β=0.26), the strongest predictor of ALNM in the final model (β=0.46) and the highest risk of ALNM (odds ratio=9.282; 95% confidence interval: 7.218–11.936).

Conclusions

The structure equation model presented the relation of these important predictors, and might help physicians to assess axillary nodal condition and appropriate surgical procedures.

Estrogen receptor, progesterone receptor, and HER2 status predict lymphovascular invasion and lymph node involvement

BACKGROUND

The ACOSOG Z0011 trial demonstrated that axillary dissection (ALND) is not necessary for local control or survival in women with T1/2cN0 cancer undergoing breast-conserving therapy. There is concern about applying these results to triple-negative (TN) cancers secondary to their high local-recurrence (LR) rate. We examined the frequency of lymphovascular invasion (LVI) and nodal metastases in TN cancers to determine whether ALND can be safely avoided in this subtype.

METHODS

Data were obtained from a database of patients with invasive breast cancer treated at Memorial Sloan Kettering Cancer Center from January 1998 to December 2010. A total of 11,596 tumors were classifiable into clinical surrogates for molecular subtype by immunohistochemical analysis: hormone receptor (HR)+/HER2+, HR+/HER2-, HR-/HER2+, and TN (HR-/HER2-). Multivariable logistic regression analysis (MVA) was used to determine associations between clinicopathologic variables and subtype.

RESULTS

There were differences in age, tumor size, LVI, grade, and nodal involvement among groups. On MVA controlling for size, grade, and age, ER, PR, and HER2 status were significantly associated with LVI (p < 0.0001). Relative to TN tumors, HR+/HER2-, HR+/HER2+, and HR-/HER2+ tumors had higher odds of demonstrating LVI of 1.8 (odds ratio 1.8; 95 % confidence interval 1.6-2.1), 2.5 (2.5; 2.0-3.0), and 1.7 (1.7; 1.4-2.1), respectively. On MVA adjusting for size, grade, LVI, and age, TN tumors had the lowest odds of having any or high-volume nodal involvement (≥4 nodes, p < 0.0001).

CONCLUSIONS

LVI and nodal metastases were least frequent in TN cancers compared with other subtypes, despite the uniformly worse prognosis and increased LR rate in TN tumors. This suggests TN cancers spread via lymphatics less frequently than other subtypes and ALND may be avoided in TN patients meeting Z0011 eligibility criteria.

Prediction of axillary lymph node metastases in breast cancer patients based on pathologic information of the primary tumor

BACKGROUND

Axillary lymph nodes (ALN) are the most commonly involved site of disease in breast cancer that has spread outside the primary lesion. Although sentinel node biopsy is a reliable way to manage ALN, there are still no good methods of predicting ALN status before surgery. Since morbidity in breast cancer surgery is predominantly related to ALN dissection, predictive models for lymph node involvement may provide a way to alert the surgeon in subgroups of patients.

MATERIAL AND METHODS

A total of 1325 invasive breast cancer patients were analyzed using tumor biological parameters that included age, tumor size, grade, estrogen receptor, progesterone receptor, lymphovascular invasion, and HER2, to test their ability to predict ALN involvement. A support vector machine (SVM) was used as a classification model. The SVM is a machine-learning system developed using statistical learning theories to classify data points into 2 classes. Notably, SVM models have been applied in bioinformatics.

RESULTS

The SVM model correctly predicted ALN metastases in 74.7% of patients using tumor biological parameters. The predictive ability of luminal A, luminal B, triple negative, and HER2 subtypes using subgroup analysis showed no difference, and this predictive performance was inferior, with only 60% accuracy.

CONCLUSIONS

With an SVM model based on clinical pathologic parameters obtained in the primary tumor, it is possible to predict ALN status in order to alert the surgeon about breast cancer counseling and in decision-making for ALN management.

Questioning the role of axillary node dissection in sentinel node positive early stage breast cancer in the South Eastern Cancer Centre

INTRODUCTION

Axillary node status is a predictor of breast cancer survival. Axillary node dissection (ALND) following positive sentinel node biopsy (SLNB) is challenged by the American College of Surgeons Z0011 trial, where clinically/radiologically node-negative, SLNB positive early stage patients failed to derive therapeutic benefit from ALND at 6 years.

AIMS

To quantify the rates of non-sentinel lymph node positivity after ALND in all breast cancer stages. To assess Z0011 trial result application to an Irish patient population.

METHODS

Retrospective review of a prospectively maintained database of clinically node-negative patients undergoing breast conserving surgery and ALND for a positive SLNB from January 2011 to January 2012.

RESULTS

Of 174 new breast cancers diagnosed, 144 underwent surgery of which 127 patients were clinically/radiologically node-negative; 46 patients were SLNB positive; 34 (73.9 %) proceeded to ALND. Of 9 T1 tumours, 3 (33.3 %) had further positive nodes on ALND. Of 24 T2 tumours, 11 (45.8 %) had further positive nodes on ALND. All 3 (100 %) T3/T4 tumours had further positive nodes on ALND. Mean numbers of sentinel and axillary nodes harvested were 2.3 and 15.2, respectively. In the SLNB positive, ALND negative group, 12 of 18 (66.7 %) patients were <60 years versus 14 of 17 (82.4 %) in the SLNB positive, ALND positive group. This may be indicative that younger women have a trend toward node positivity following ALND for a positive SLNB.

CONCLUSION

These data suggest that a significant proportion (41.9 %) of T1/T2 tumours undergoing ALND following positive SLNB have further positive nodes. It may be premature to exclude ALND in patients with T1/T2 tumours following a positive SLNB.

Level III axillary lymph nodes involvement in node positive breast cancer received neoadjuvant chemotherapy

OBJECTIVE

To investigate the incidence, associated factors and prognosis of level III node involvement for breast cancer with positive axillary lymph nodes after neoadjuvant chemotherapy.

METHODS

A consecutive series of 521 node positive T0-2 invasive breast cancer cases were included in this retrospective study. Axillary node metastases were proved by ultrasound guided needle biopsy (NB) if ultrasonographic abnormal node was detected or by sentinel node biopsy (SNB) if no abnormal node was detected. After 4 to 8 cycles of neoadjuvant chemotherapy (NCT）, axillary lymph nodes dissection included level III lymph nodes were completed for each case.

RESULTS

The pathologic complete response rate of axillary nodes was 31.1% (90/289) in NB positive subgroup. The incidence of residual positive level III lymph nodes were 9.0% (47/521). Multivariate analysis showed that node NB positivity (OR = 2.212, 95% CI: 1.022-4.787, P = 0.044), clinical tumor size >2 cm before NCT (OR = 2.672, 95% CI: 1.170-6.098, P = 0.020), and primary tumor non-response to neoadjuvant chemotherapy (OR = 1.718, 95% CI: 1.232-2.396, P = 0.001) were independent predictors of level III lymph nodes positivity. At median follow-up time of 30 months, the distant disease-free survival (DDFS) rate of level III node positive group was much lower than that of level III negative group (p = 0.011).

CONCLUSIONS

About 9% of node positive T0-2 breast cancer will have residual positive node in level III region after neoadjuvant chemotherapy. Node positivity proved by NB, large tumor size, and primary tumor non-response to neoadjuvant chemotherapy are independent predictors of level III lymph nodes positivity.

Detectability and clinicohistological characteristics of small (≤1 cm) invasive breast cancer

PURPOSE

To investigate the detectability and imaging characteristics of primary tumors according to imaging modalities and to identify clinical features and histological prognostic factors for axillary metastases in patients with small (≤1cm, T1a and T1b) invasive breast cancer.

MATERIALS AND METHODS

A total of 221 patients with histologically confirmed small invasive cancers were included for the statistical analysis. At mammography, ultrasonography and MRI, the detectability, and imaging characteristics of primary tumors were compared in patients with or without axillary metastases. Clinical features and histological prognostic factors for axillary metastases were investigated.

RESULTS

Of 221 patients examined, axillary metastasis was found in 42 (19%) at the time of surgery. There was no significant difference in detectability of small tumors using ultrasonography and MRI between patients with and without axillary metastasis. However, mammography had a higher positive rate of primary tumors in patients with axillary metastasis than without metastasis (92.9% vs. 77.1%, p=0.023). Patients with axillary metastasis in small cancers showed more common architectural distortion than negative (p=0.0147) or mass (p=0.0356) on mammography. Clinical features were not different in the two groups. Only lymphovascular invasion was independently associated with axillary metastasis (p=0.0051, 95% CI, 1.527-11.597).

CONCLUSION

The detectability of small invasive breast cancers among patients with and without axillary metastasis is different with mammography, but not with US and MRI. Lymphovascular invasion is only a predictor for axillary metastasis in small invasive cancers.

Prediction of axillary lymph node status in male breast carcinoma

BACKGROUND

To evaluate whether predictive factors of axillary lymph node metastasis in female breast cancer (BC) are similar in male BC.

PATIENTS AND METHODS

From January 1994 to May 2011, we recorded 80 non-metastatic male BC treated at Institut Curie (IC). We analysed the calibration and discrimination performance of two nomograms [IC, Memorian Sloan-Kettering Cancer Center (MSKCC)] originally designed to predict axillary lymph node metastases in female BC.

RESULTS

About 55% and 24% of the tumours were pT1 and pT4, respectively. Nearly 46% demonstrated axillary lymph node metastasis. About 99% were oestrogen receptor positive and 94% HER2 negative. Lymph node status was the only significant prognostic factor of overall survival (P = 0.012). The area under curve (AUC) of IC and MSKCC nomograms were 0.66 (95% CI 0.54-0.79) and 0.64 (95% CI 0.52-0.76), respectively. The calibration of these two models was inadequate.

CONCLUSIONS

Multi-variate models designed to predict axillary lymph node metastases for female BC were not effective in our male BC series. Our results may be explained by (i) small sample size (ii) different biological determinants influencing axillary metastasis in male BC compared with female BC.

Predictors of axillary lymph node metastases in early breast cancer and their applicability in clinical practice

PURPOSE

Lymph node involvement is the most important prognostic factor in breast cancer. It is a multifactorial event determined by patient and tumour characteristics. The purpose of this study was to determine clinical and pathological factors predictive for axillary lymph node metastasis (ALNM) in patients with early breast cancer and to build a model to portend lymph node involvement.

METHODS

We evaluated 1300 consecutive patients surgically treated in our institution (2007-2009) for cT1-T2 invasive breast cancer. The patient and tumour characteristics evaluated included: age at diagnosis, number of foci, histologic grade, location, tumour size, histologic subtype, lymphovascular invasion (LVI), estrogen-receptor (ER), progesterone-receptor (PR) and Her-2 status. Univariate and multivariate analyses were performed. Factors significantly associated with ALNM by univariate analysis plus histologic subtype were included in the multivariate analysis.

RESULTS

By univariate analysis, the incidence of ALNM was significantly associated with the presence of LVI (P < 0.0001), larger tumour size (P < 0.0001), higher histologic grade (P < 0.0001), retroareolar or lateral location in the breast (P < 0.0001), multiple foci (P = 0.0002) and in patients who underwent an axillary lymph node dissection. We found no effect of age, ER⁄PR nor HER-2 status. By multivariate analysis, ALNM was significantly associated with the presence of LVI (P < 0.0001), larger tumour size (P < 0.0001), axillary lymph node dissection (P = 0.0003), retroareolar and lateral tumour location in the breast (P = 0.0019) and the presence of multiple foci (P = 0.0155).

CONCLUSIONS

LVI and tumour size emerged as the most powerful independent predictors of ALNM, followed by the location of the tumour in the breast and the presence of multiple foci.

Axillary recurrence rate in breast cancer patients with negative sentinel lymph node biopsy or containing micrometastases and without further lymphadenectomy: a monocentric review of 8 years and 481 cases

Sentinel lymph node biopsy (SLNB) has almost completely replaced complete axillary lymph node dissection (CALND) as the first-line axillary procedure for clinically node-negative early stage breast cancer. We assessed the incidence of axillary relapse in patients with negative SLNB who had no additional CALND (group 1, n = 481) and in patients whose SLNB contained micrometastases and had no further CALND (group 2, n = 45). All patients were operated on between November 1997 and December 2005 and followed at the Jules Bordet Institute. The median follow-up was 48 months. A mean of 2.2 sentinel lymph nodes was removed per patient. Axillary relapse was observed in only one patient (0.2%) in group 1 and in none of the patients in group 2. This study confirms that the axillary recurrence rate after long-term follow-up of patients with a negative sentinel lymph node is very rare, provided that the selection criteria are judicious.

Delays in primary surgical treatment are not associated with significant tumor size progression in breast cancer patients

OBJECTIVES

We evaluated the effect of time to surgery on tumor growth by comparing initial imaging and pathologic tumor size estimates. We also determined predictors of delay to surgery.

BACKGROUND

Preoperative work-up, coordination of reconstructive surgery, and referral to tertiary care centers can delay surgical treatment of breast cancer. Whether these delays are associated with interim tumor progression is unknown.

METHODS

We identified 818 clinically node-negative breast cancer patients at our cancer center who had undergone surgery as their first therapeutic modality for invasive breast cancer from September 2003 to December 2006. Baseline tumor size was determined by mammography and sonography; tumor size at surgery was determined from pathology reports.

RESULTS

The median time from imaging to surgery was 21 days (1-132 days). In multivariate analysis, increased time to surgery was associated with older age, total mastectomy versus breast-conserving surgery, and reconstructive surgery. The median difference from baseline mammographic tumor size to surgery was 0 cm (8.6 cm smaller to 7.3 cm larger at surgery). The median difference from baseline sonographic tumor size to surgery was 0.1 cm (7.5 cm smaller to 8.3 cm larger at surgery). Neither of these differences was significantly associated with time to surgery. Time to surgery was associated with positive lymph nodes at surgery; however, no association was found after controlling for other prognostic factors.

CONCLUSIONS

Modest time intervals from imaging to surgery are not significantly associated with change in tumor size; thus, patients may undergo preoperative work-up without experiencing significant disease progression.

Can we identify the group of small invasive (T1a,b) breast cancers with minimal risk of axillary lymph node involvement? A pathohistological and DNA flow cytometric study

The goal of this study was to identify a group of small (≤1cm) breast cancers (T1a,b) with a particularly low probability of axillary lymph node metastases, where routine axillary staging may be unnecessary. We retrospectively analyzed 152 T1a,b breast carcinomas with axillary dissection surgically removed at Clinical Hospital Center Split (Croatia) in the period from 1997 to 2006. The analysis included 40 T1a,b cancers with, and 112 T1a,b cancers without axillary lymph node metastases. The basic morphological features of cancers were investigated histologically, while hormone receptors and HER2/neu were investigated immunohistochemically with an additional CISH analysis of HER2/neu 2+ cases. The ploidy and S-phase fraction were determined by DNA flow cytometry. The association of the investigated features with the likelihood of axillary lymph node metastases was analyzed by univariate and multivariate analysis. The univariate analysis showed that lymph node metastases were associated with tumor size (T1a/T1b; p=0.026), histological type (ductal/non-ductal; p=0.014), lymphovascular invasion (p<0.001), HER2/neu expression (p=0.04), ploidy (p=0.027), and combined values of ploidy and S-phase fraction (p=0.025). The lymphovascular invasion was the only independent factor associated with axillary nodal metastases (p=0.01). In the group of T1a,b cancers without lymphovascular invasion, HER2/neu expression (p=0.021) and combined values of ploidy and S-phase fraction (p=0.016) were independent factors associated with axillary lymph node metastases. This study showed that diploid T1a,b cancers with low S-phase fraction, which are also without lymphovascular invasion and HER2/neu amplification, represented the group of cancers with a low probability of axillary lymph node metastases.

The molecular subtype classification is a determinant of sentinel node positivity in early breast carcinoma

Introduction

Several authors have underscored a strong relation between the molecular subtypes and the axillary status of breast cancer patients. The aim of our work was to decipher the interaction between this classification and the probability of a positive sentinel node biopsy.

Materials and Methods

Our dataset consisted of a total number of 2654 early-stage breast cancer patients. Patients treated at first by conservative breast surgery plus sentinel node biopsies were selected. A multivariate logistic regression model was trained and validated. Interaction covariate between ER and HER2 markers was a forced input of this model. The performance of the multivariate model in the training and the two validation sets was analyzed in terms of discrimination and calibration. Probability of axillary metastasis was detailed for each molecular subtype.

Results

The interaction covariate between ER and HER2 status was a stronger predictor (p = 0.0031) of positive sentinel node biopsy than the ER status by itself (p = 0.016). A multivariate model to determine the probability of sentinel node positivity was defined with the following variables; tumour size, lympho-vascular invasion, molecular subtypes and age at diagnosis. This model showed similar results in terms of discrimination (AUC = 0.72/0.73/0.72) and calibration (HL p = 0.28/0.05/0.11) in the training and validation sets. The interaction between molecular subtypes, tumour size and sentinel nodes status was approximated.

Discussion

We showed that biologically-driven analyses are able to build new models with higher performance in terms of breast cancer axillary status prediction. The molecular subtype classification strongly interacts with the axillary and distant metastasis process.

Meta-analysis of predictive factors for non-sentinel lymph node metastases in breast cancer patients with a positive SLN

AIMS

A meta-analysis was performed to identify the clinicopathological variables most predictive of non-sentinel node (NSN) metastases when the sentinel node is positive.

METHODS

A Medline search was conducted that ultimately identified 56 candidate studies. Original data were abstracted from each study and used to calculate odds ratios. The random-effects model was used to combine odds ratios to determine the strength of the associations.

FINDINGS

The 8 individual characteristics found to be significantly associated with the highest likelihood (odds ratio >2) of NSN metastases are SLN metastases >2mm in size, extracapsular extension in the SLN, >1 positive SLN, ≤1 negative SLN, tumour size >2cm, ratio of positive sentinel nodes >50% and lymphovascular invasion in the primary tumour. The histological method of detection, which is associated with the size of metastases, had a correspondingly high odds ratio.

CONCLUSIONS

We identified 8 factors predictive of NSN metastases that should be recorded and evaluated routinely in SLN databases. These factors should be included in a predictive model that is generally applicable among different populations.

Axillary ultrasound in invasive breast cancer: experience of our surgeons

Preoperative axillary ultrasound (USS) and fine needle aspiration cytology (FNAC) may allow diagnosis of axillary metastases and reduce repeat axillary procedures. This procedure is usually performed by radiologists. The aim of this prospective study was to evaluate the diagnostic accuracy of surgeon performed axillary USS and/or FNAC in determining axillary nodal status preoperatively. Patients with invasive breast cancer from August 2007 to July 2008 were studied prospectively. Patients who had primary hormonal therapy, neo-adjuvant therapy or distant metastases were excluded. Axillary USS was performed by two consultant breast surgeons trained in ultrasound and biopsy techniques. USS guided FNAC was used to evaluate suspicious nodes. Those with positive cytology (i.e., malignant cells) underwent axillary clearance and the remainder had either sentinel lymph node biopsy or axillary node sample. Axillary USS and FNAC results were compared with final axillary histology. One hundred and twenty eight patients were included with a mean age of 60 years. Nodes were nonpalpable in 96(75%) patients. Forty nine(38.2%) patients had axillary metastases on final histology and 30 of the 49(61%) were identified by preoperative USS guided FNAC. The sensitivity and specificity of this procedure were 61% and 100%, respectively. The positive predictive value and negative predictive value were 100% and 80.6%, respectively. Therefore, 61% of patients with axillary metastases were able to proceed directly to definitive axillary surgery. The use of USS and FNAC to evaluate and sample the axillary nodes in patients with invasive breast cancer can be a useful tool for the breast surgeon.