Ratio Of Sentinel Lymph Node Research Articles

Predicting Additional Metastases in Axillary Lymph Node Dissection After Neoadjuvant Chemotherapy: Ratio of Positive/Total Sentinel Nodes.

The aim of the study was to determine the clinical value of the sentinel lymph node ratio (SLN-R) in predicting additional positive lymph nodes during axillary lymph node dissection (ALND) in breast cancer patients following neoadjuvant chemotherapy (NAC). A cross-sectional study was performed at a single institution evaluating data from 1521 BC patients. Inclusion criteria comprised cT1/cT4, cN0/cN1 status with positive post-NAC axillary staging by SLN/TAD, respectively, and subsequent ALND. The study included 118 patients, divided into two groups based on the presence or absence of additional node metastasis at ALND: 39 in the residual disease group (RD) and 79 in the non-residual disease group (nRD). Univariate logistic regression analysis of SLN-R was conducted to assess its predictive value, yielding an odds ratio (OR) of 7.79 (CI 1.92-29.5, p = 0.003). An SLN-R cut-off point of <0.35 was identified using ROC curve analysis, with a false-negative rate of 10.2%, as a predictor for no additional metastasis at ALND following post-NAC SLN/TAD positivity. The study concludes that SLN-R is a valuable predictor for determining the omission of ALND in cases where SLN/TAD is positive after NAC. This metric, in combination with other clinical variables, could help develop a nomogram to spare patients from ALND.

Prediction of High Nodal Burden in Patients With Sentinel Node–Positive Luminal ERBB2-Negative Breast Cancer

In patients with clinically node-negative (cN0) breast cancer and 1 or 2 sentinel lymph node (SLN) macrometastases, omitting completion axillary lymph node dissection (CALND) is standard. High nodal burden (≥4 axillary nodal metastases) is an indication for intensified treatment in luminal breast cancer; hence, abstaining from CALND may result in undertreatment. To develop a prediction model for high nodal burden in luminal ERBB2-negative breast cancer (all histologic types and lobular breast cancer separately) without CALND. The prospective Sentinel Node Biopsy in Breast Cancer: Omission of Axillary Clearance After Macrometastases (SENOMAC) trial randomized patients 1:1 to CALND or its omission from January 2015 to December 2021 among adult patients with cN0 T1-T3 breast cancer and 1 or 2 SLN macrometastases across 5 European countries. The cohort was randomly split into training (80%) and test (20%) sets, with equal proportions of high nodal burden. Prediction models were developed by multivariable logistic regression in the complete luminal ERBB2-negative cohort and a lobular breast cancer subgroup. Nomograms were constructed. The present diagnostic/prognostic study presents the results of a prespecified secondary analysis of the SENOMAC trial. Herein, only patients with luminal ERBB2-negative tumors assigned to CALND were selected. Data analysis for this article took place from June 2023 to April 2024. Predictors of high nodal burden. High nodal burden was defined as ≥4 axillary nodal metastases. The luminal prediction model was evaluated regarding discrimination and calibration. Of 1010 patients (median [range] age, 61 [34-90] years; 1006 [99.6%] female and 4 [0.4%] male), 138 (13.7%) had a high nodal burden and 212 (21.0%) had lobular breast cancer. The model in the training set (n = 804) included number of SLN macrometastases, presence of SLN micrometastases, SLN ratio, presence of SLN extracapsular extension, and tumor size (not included in lobular subgroup). Upon validation in the test set (n = 201), the area under the receiver operating characteristic curve (AUC) was 0.74 (95% CI, 0.62-0.85) and the calibration was satisfactory. At a sensitivity threshold of ≥80%, all but 5 low-risk patients were correctly classified corresponding to a negative predictive value of 94%. The prediction model for the lobular subgroup reached an AUC of 0.74 (95% CI, 0.66-0.83). The predictive models and nomograms may facilitate systemic treatment decisions without exposing patients to the risk of arm morbidity due to CALND. External validation is needed. ClinicalTrials.gov Identifier: NCT02240472.

Risk Factors for Non-sentinel Lymph Node Metastasis in HR+/HER2- Breast Cancer With cN0.

This study aimed to identify the risk factors associated with non-sentinel lymph node (non-SLN) metastasis in case of hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative breast cancer with cN0 on preoperative exam, where the sentinel lymph node (SLN) is positive. We conducted a retrospective review of medical records from the Chonnam National University Hwasun Hospital, spanning from January 2013 to January 2020, focusing on patients with HR+, HER2- breast cancer. Specifically, we collected the clinical and pathological data for those patients who underwent axillary lymph node dissection (ALND) due to positive SLN. Among the 166 patients who underwent ALND after positive SLNs, median patient age was 52 years. Univariate analyses demonstrated a significant association between non-SLN metastasis and the number of positive SLNs (p=0.039), SLN positive ratio (p<0.001), and primary tumor size (p=0.018). Multivariate analysis revealed that an SLN ratio >0.55 (p=0.004, HR=3.007, 95% CI=1.427-6.335) was independently associated with non-SLN metastasis. However, neither the number of positive SLN nor primary tumor size showed associations with non-SLN metastases. In patients with HR+, HER2- breast cancer who are cN0, completion of ALND should be considered when the positive SLN ratio is ≥0.55. This approach aims to provide the opportunity for survival benefit through additional adjuvant therapy or to contribute to de-escalation of unnecessary surgery.

Abstract P1-01-07: Factors predicting a lower likelihood of residual nodal disease in clinically-node positive patients undergoing sentinel node surgery after neoadjuvant chemotherapy for breast cancer

Abstract Background: Residual nodal disease at the completion axillary lymph node dissection (ALND) has been reported in over 60% in patients with a positive sentinel lymph node biopsy (SLNB) after neoadjuvant chemotherapy (NAC). This study aimed to explore whether any clinical or histopathological characteristics of patients may be associated with a lower likelihood of having non-SLN metastasis at ALND. Methods: Between January 2004 to January 2021, 459 patients with cT1-4/N1-3 underwent ALND due to a positive SLNB after NAC. Demographic, clinical and histopathological characteristics of patients were analyzed to predict the non-SLN metastasis at ALND. Sentinel lymph node ratio was defined as the ratio of the number of positive SLN to the total excised SLNs. Results: Median age was 47 (21-84). Of those, the majority of the patients had cT1-2 (67.8%) and cN1 disease (78.1%), whereas 76.5% of tumors were invasive ductal carcinoma. The frequency of non-SLN metastases according to the tumor subtypes were 59.5% in luminal A, 73.8% in HER2(-) luminal B, 60.3% in HER2(+) luminal B, 66.7% in non-luminal HER2(+), and 66.7% in triple negative breast carcinoma. Of those with removal more than 2 SLNs, having 1 positive SLN, or breast pathologic complete response, or cT1-2 disease , or a SLN ratio &amp;lt;50% or low volume metastatic disease including isolated tumor cell (ITC)/micrometastasis were statistically less likely found to have a non-SLN metastasis (p&amp;lt;0.05). Factors associated with a non-SLN involvement less than 40% were a SLN ratio &amp;lt;50% (39.2%) and low volume metastatic disease (36.4%). Multivariate logistic regression analysis revealed a decreased likelihood for non-SLN metastasis at ALND for patients with cT1-2 (OR= 0.45; 95% CI: 0.25-0.82; p=0.009), ITC and micrometastasis (OR=0.24; 95% CI: 0.09-0.65; p=0.006), and a SLN-ratio &amp;lt;50% ((OR=0.15; 95% CI: 0.08-0.26; p&amp;lt;0.001). A subgroup of patients with cT1-2/N1 having a SLN ratio &amp;lt;50% or ITC/micrometastasis were found to have 25.9% and 28.6% non-SLN positivity at ALND, respectively. Conclusions: In patients with a positive SLN after NAC, the likelihood of having residual disease at ALND was high across all tumor subtypes and clinical patient and tumor characteristics. However, the residual nodal disease rate was found to be lower than 30% in carefully selected patient subgroups with cT1-2/N1 along with ITC/micrometastasis or a SLN ratio &amp;lt;50% (Table 1) . These results suggest omission of ALND could be considered in meticulously selected patients with cT1-2 and low volume metastatic disease as long as axillary radiation and effective systemic treatment provided Table 1. Factors associated with non-SLN metastasis at ALND FactorsOR(95%CI)p-valuecT0.009*1&amp;20.45(0.25-0.82)3&amp;4Reference (1)SLN Status0.006*ITC and micrometastasis0.24(0.09-0.65)MacrometastasisReference (1)SLN-Ratio (%)&amp;lt;0.001*&amp;lt;50%Reference(1)≥50%0.15(0.08-0.26)*:p&amp;lt;0.05, Logistic regression(enter method), OR:Odds Ratio; Dependent variable:Non-SLN positivity Citation Format: Neslihan Cabioglu, Hasan Karanlık, Abdullah Igci, Mahmut Muslumanoglu, Mustafa Tukenmez, Selman Emiroglu, Enver Ozkurt, Semen Onder, Pinar Saip, Yesim Eralp, Adnan Aydiner, Ekrem Yavuz, Vahit Ozmen. Factors predicting a lower likelihood of residual nodal disease in clinically-node positive patients undergoing sentinel node surgery after neoadjuvant chemotherapy for breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P1-01-07.

Predictors of invasive disease in patients preoperatively diagnosed with ductal carcinoma without stromal invasion, with breast magnetic resonance imaging (MRI) and ultrasound (US).

A preoperative diagnosis of ductal carcinoma in situ (DCIS) is sometimes upstaged to invasive disease postoperatively. Our objective was to clarify the predictive factors of invasive disease using preoperative imaging and to investigate the positive ratio of sentinel lymph nodes (SLN) and the incidence of invasive disease. The subjects were 402 patients with preoperatively diagnosed ductal carcinoma without stromal invasion who underwent breast surgery with concomitant SLN surgery in January 2007 to December 2016. Of the 306 included patients, all 306 patients underwent preoperative MRI and US assessment. Outcomes were analyzed for significance using univariate and multivariate analyses. Of the 306 patients, 115 (37.6%) had invasive disease and 191 (62.4%) had DCIS only. Of the 115 patients with invasive disease, 5 (4.4%) and 4 (3.5%) had macro- and micrometastases in SLN. On the other hand, of the 191 patients with DCIS, only 1 (0.5%) had a micrometastasis. Predictors of invasive disease in the univariate analysis included having a palpable mass, were varied by biopsy method, having a US hypoechoic mass, MRI enhancement, or MRI large enhanced lesion; the size of the mass enhancement ≥ 1.1cm or a spread of non-mass enhancement ≥ 3.1cm (P = 0.003). Predictors of invasive disease in the multivariate analysis included US hypoechoic mass and MRI large enhanced lesion. We need to perform SLN biopsy for preoperatively diagnosed DCIS when patients have predictors of invasive disease, but SLN biopsy will no longer be essential for patients when they have no predictors of invasive disease.

Nomograms for predicting the likelihood of non-sentinel lymph node metastases in breast cancer patients with a positive sentinel node biopsy.

Background:Breast cancer patients with sentinel lymph node (SLN) metastases may have a low risk of non-SLN metastases. Accurate estimates of the likelihood of additional disease in the non-SLN metastases can avoid many complications mentioned the axillary lymph node dissection (ALND). This study aims to develop a new model based on Chinese real-world patients to ascertain the likelihood of non-SLN metastases in a breast cancer patient with disease-positive SLN, enabling the surgeons to make a better choice of surgical procedures.Methods:Out of the 470 patients from CSCO Breast Cancer Database collaborated Group, a proportion of 3 (347 cases): 1 (123 cases) was considered for assigning patients to training and validation groups, respectively. Two training models were created to predict the likelihood of having additional, non-SLN metastases in an individual patient. Training model 1 was created with pathological size of the tumor, pathological type, lymphovascular invasion, the number of positive SLNs/number of total SLNs ratio, and the Her-2 status based on multivariable logistic regression (P < .05). Training model 2 was based on the variables in model 1 and age, estrogen receptor status, progesterone receptor status, Ki-67 count, menopause status.Results:The area under the receiver operating characteristic (ROC) curve of the training model 1 was 0.754, while the area of training model 2 was 0.766. There was no difference between model 1 and model 2 regarding the ROC curve, P = .243. Next, the validation cohort (n = 123) was developed to confirm the model 1's performance and the ROC curve was 0.703. The nomogram achieved good concordance indexes of 0.754 (95% CI, 0.702–0.807) and 0.703 (95% CI, 0.609–0.796) in predicting the non-SLN metastases in the training and validation cohorts, respectively, with well-fitted calibration curves. The positive and negative predictive values of the nomogram were calculated, resulting in positive values of 59.3% and 48.6% and negative predictive values of 79.7% and 83.0% for the training and validation cohorts, respectively.Conclusion:We developed 2 models that used information commonly available to the surgeon to calculate the likelihood of having non-SLN metastases in an individual patient. The numbers of variables in model 1 were less than in model 2, while model 1 had similar results as model 2 in calculating the likelihood of having non-SLN metastases in an individual patient. Model 1 was more user-friendly nomogram than model 2. Using model 1, the risk for an individual patient having ALND could be determined, which would lead to a rational therapeutic choice.

Sentinel and Non-Sentinel Lymph Node Metastasis Prediction and Validation of the MSKCC Nomograms for Indian Breast Cancer Patients

Background: Sentinel lymph node (SLN) biopsy accurately stages the axilla, but is time consuming and resource intensive. Nomograms and scoring systems have been developed, based on clinical and pathologic data available before surgery, to attempt to predict the likelihood of lymph node metastasis before surgery. As the management of the axilla in patients with low nodal burden changes, it is also important to predict whether there will be further axillary disease in patients with a positive SLN. Aim: To explore the risk factors for SLN and non-SLN metastasis in Indian women with breast cancer, by analysis of clinical and pathologic data. To assess the validity and clinical utility of two MSKCC nomograms that predicts axillary lymph node status for Western patients. Methods: Clinical data, and pathologic data available from core biopsy, for a consecutive series of women having SLNB was analyzed, and was plotted on two MSKCC nomograms. Univariate analysis was done by χ2 and Fischer exact tests and multivariate analysis was done by logistic regression method. A receiver-operating characteristic (ROC) curve was drawn and predictive accuracy was assessed by calculating the area under the ROC curve (AUC). Results: 34% (89 out of 256) of our patients had SLN positivity. When correlated with SLN metastasis by univariate analysis, LVI (χ2 = 80, P ≤ 0.001), PNI (χ2 = 13.36, P ≤ 0.001), ER+ (χ2 = 6.85, P = 0.009), PR+ (χ2 = 7.1, P = 0.008) and age ( P = 0.03) were significant. However, multivariate analysis showed that age (OR=1.04, P = 0.007) and LVI (OR=0.07, P ≤ 0.001) were identified as independent predictors for SLN metastasis. The area under the ROC curve was 0.772 and it fairly correlated with MSKCC nomogram. Patients with MSKCC scores lower than 38% had a frequency of SLN metastasis of 7.7% (5/65) and this cut-off could be used as a guide for not doing frozen section analysis in this subgroup. Further axillary dissection showed 41% (38 out of 92) had non-sentinel nodes positive. When correlated with non-SLN metastasis by univariate analysis, LVI (χ2 = 8.8, P = 0.003), PNI (χ2 = 6.85, P = 0.009), and extracapsular extension (χ2 = 4.18, P = 0.04) were significant. Number of SLN negative ( P = 0.01), SLN ratio (number of SLN positive/total number of SLN removed) ( P = 0.01) and size of SLN metastasis ( P = 0.002) were significant. However, multivariate analysis showed that only size of SLN metastasis (OR=0.845, P = 0.02) was identified as independent predictor for non-SLN metastasis. The area under the ROC curve was 0.66 and it poorly correlated with MSKCC nomogram. Conclusion: The MSKCC nomogram can provide a fairly accurate prediction of the probability of SLN metastasis, but is not for non-SLN metastasis. An institutional nomogram for non-SLN metastasis, including additional factors such as size of SLN metastasis, may improve prediction.

Prediction of Residual Nodal Disease at Completion Dissection Following Positive Sentinel Lymph Node Biopsy for Melanoma.

While recent trial data have demonstrated no survival benefit to immediate completion lymph node dissection (CLND) for positive sentinel lymph node (SLN) disease in melanoma, prediction of non-SLN disease may help risk-stratify patients for more intensive observation of the nodal basin. A retrospective cohort of patients with positive SLN biopsy (SLNB) who underwent CLND was identified (1996-2016). A risk score for likelihood of CLND-positive disease was developed based on factors associated with presence of CLND metastases identified on logistic regression. Survival outcomes were analyzed. Among 312 patients with positive SLN, 192 underwent CLND and had complete pathologic data for evaluation. The median age of the study cohort was 53years [interquartile range (IQR) 43-66years], and 112 (58%) were male. Thirty-one (16%) had non-SLN metastatic disease on CLND. The four factors independently associated with CLND positivity and thus included in the risk score were Breslow thickness ≥ 3mm [odds ratio (OR) 2.56, p = 0.047], presence of primary tumor-infiltrating lymphocytes (OR 0.33, p = 0.013), ≥ 2/3 positive-to-total SLN ratio (OR 4.35, p = 0.003), and combined subcapsular and parenchymal metastatic SLN location or metastatic deposit ≥ 1mm (OR 4.45, p = 0.013). The four-point risk score predicted CLND positivity well with area under the curve of 0.82 (0.80-0.85). Increasing risk score was independently associated with increasingly worse melanoma-specific survival [hazard ratio (HR) = 1.54, p = 0.001]. Likelihood of residual nodal disease after positive SLNB and survival can be predicted from primary tumor and SLN characteristics. High-risk patients may warrant more intensive surveillance of the nodal basin to reduce risk of loss of regional control.

The influence of lumpectomy on the axillary lymph node status of breast cancer patients

Objective: To investigate the influence of lumpectomy on axillary lymph node status of breast cancer patients. Methods: The clinical data of 738 invasive breast cancer patients with non-palpable axillary lymph node and sentinel lymph node (SLN) biopsy from November 2011 to August 2013 in Henan Provincial Cancer Hospital were collected and retrospectively analyzed. Among them, 136 patients underwent preoperative lumpectomy (lumpectomy group) and 602 patients underwent puncture biopsy only (biopsy group). The difference of axillary lymph node status and positive ratio of SLN detected by color Doppler ultrasound were compared between these two groups. Results: Among the 738 breast cancer patients, the axillary lymph nodes of 444 (60.2%) cases could be detected by ultrasound. Among them, 92 cases belonged to lumpectomy group, significantly less than 352 cases of biopsy group (P=0.048). Among the patients with ultrasound-visible lymph nodes, the proportion of the biggest diameter of axillary lymph node >1 cm of lumpectomy group or biopsy group was 58.7% (54/92) or 52.8% (186/352), respectively, without significant difference (P=0.316). The proportion of patients with the ratio of long diameter to short diameter <2 of lumpectomy group or biopsy group was 37.0% (34/92) or 38.6% (136/352), respectively, with marginal difference (P=0.768). The positive rate of SLN of lumpectomy group or biopsy group was 23.5% (32/136) or 26.9% (162/602), respectively, without significant difference (P=0.419). The incidence rate of the ultrasound visible axillary lymph nodes of patients whose postoperative time ≤ 7 days or > 7days was 71.1% (64/90) or 60.9% (8/46), respectively, without significant difference (P=0.227). However, the positive rate of SLN of these two groups was 28.9% (26/90) and 13.0% (6/46), respectively, with significant difference (P=0.039). The number of ultrasound visible axillary lymph nodes, the biggest diameter of axillary lymph nodes and the ratio of the long diameter to short diameter <2 were substantially correlated with the positive rate of SLN (P<0.05). Conclusions: The incidence rate of ultrasound visible axillary lymph node in the patients with lumpectomy is higher than that of patients with puncture biopsy only. The positive rate of SLN of the patients with a long postoperative time is lower than that of patients with a short postoperative time, even though the axillary lymph nodes are ultrasound visible.

Additional non-sentinel lymph node metastases in early oral cancer patients with positive sentinel lymph nodes

To determine risk factors for additional non-sentinel lymph node metastases in neck dissection specimens of patients with early stage oral cancer and a positive sentinel lymph node biopsy (SLNB). A retrospective analysis of 36 previously untreated SLNB positive patients in our institution and investigation of currently available literature of positive SLNB patients in early stage oral cancer was done. Degree of metastatic involvement [classified as isolated tumor cells (ITC), micro- and macrometastasis] of the sentinel lymph node (SLN), the status of other SLNs, and additional non-SLN metastases in neck dissection specimens were analyzed. Of 27 studies, comprising 511 patients with positive SLNs, the pooled prevalence of non-SLN metastasis in patients with positive SLNs was 31 %. Non-SLN metastases were detected (available from 9 studies) in 13, 20, and 40 % of patients with ITC, micro-, and macrometastasis in the SLN, respectively. The probability of non-SLN metastasis seems to be higher in the case of more than one positive SLN (29 vs. 24 %), the absence of negative SLNs (40 vs. 19 %), and a positive SLN ratio of more than 50 % (38 vs. 19 %). Additional non-SLN metastases were found in 31 % of neck dissections following positive SLNB. The presence of multiple positive SLNs, the absence of negative SLNs, and a positive SLN ratio of more than 50 % may be predictive factors for non-SLN metastases. Classification of SLNs into ITC, micro-, and macrometastasis in the future SLNB studies is important to answer the question if treatment of the neck is always needed after positive SLNB.

Abstract P3-01-13: Risk factors of non-sentinel lymph node metastasis in breast cancer patients with metastatic sentinel lymph node

Abstract Objective To study the factors influencing the non-sentinel lymph node(NSLN) status and to assess Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram performance in predicting SLN metastases in a sentinel lymph node(SLN) positive Chinese breast cancer population. Methods Data were collected from breast cancer patients who were diagnosed with pathological positive sentinel lymph node and received further axillary lymph node dissection(ALND) in Shanghai Ruijin Hospital from January 2011 to August 2014. Use MSKCC nomogram to calculate each patient's NSLN metastasis risk score. The receiver operator characteristic curve(ROC curve)and the area under the ROC curve(AUC)was used to assess the predictive accuracy of the model. Results Among the 1147 patients who received sentinel biopsy in our center, 150 SLN positive patients who received ALND were enrolled in this study. By univariate analysis, multifocal breast cancer (P = 0.017), SLN+/SLN ratio (P = 0.010) and axillary lymphadenopathy displayed by ultrasound(P = 0.005) are the influencing factors of NSLN metastases. By multivariate analysis, multifocal breast cancer (OR 7.25, 95% CI 1.73∼30.43, P = 0.007), SLN+/SLN ratio≥0.5 (OR 2.564, 95% CI 1.22∼5.39, P = 0.013) and axillary lymphadenopathy displayed by ultrasound (OR 2.471, 95% CI 1.18∼5.19, P = 0.017) are the independent influencing factors of NSLN metastases. The AUC of MSKCC nomogram in this population is 0.677. Conclusion For breast cancer patients with positive sentinel lymph node, multifocality, SLN+/SLN ratio and axillary lymphadenopathy displayed by ultrasound is related to NSLN metastasis. MSKCC has low accuracy in predicting NSLN status of this population. Citation Format: Huang J, Chen X, Shen K, Li Y, Chen W, He J, Zhu L, Huang O, Zong Y, Fei X, Jin X. Risk factors of non-sentinel lymph node metastasis in breast cancer patients with metastatic sentinel lymph node. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P3-01-13.

Risk factors of non-sentinel lymph node metastasis and performance of MSKCC nomogramin breast cancer patients with metastatic sentinel lymph node

To study the factors influencing the non-sentinel lymph node(NSLN) status and to assess performance of Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram in predicting sentinel lymph node(SLN) metastases in a SLN positive Chinese breast cancer population. Data were collected from breast cancer patients who were diagnosed with pathological positive sentinel lymph node and received further axillary lymph node dissection(ALND) in Shanghai Ruijin Hospital from January 2011 to August 2014. MSKCC nomogram was used to calculate each patient's NSLN metastasis risk score. The receiver operator characteristic curve (ROC curve) and the area under the ROC curve (AUC) was used to assess the predictive accuracy of the model. Among the 1 147 patients who received sentinel biopsy, 150 SLN positive patients who received ALND were enrolled in this study. By univariate analysis, multifocal breast cancer (χ(2)=5.887, P=0.015), SLN+ /SLN ratio (χ(2)=6.683, P=0.010) and abnormal axillary lymph node displayed by ultrasound (χ(2)=7.736, P=0.005) were the influencing factors of NSLN metastases. By multivariate analysis, multifocal breast cancer (OR=7.25, 95% CI: 1.73 to 30.43, P=0.007), SLN+ /SLN ratio ≥ 0.5 (OR=2.564, 95% CI: 1.22 to 5.39, P=0.013) and abnormal axillary lymph node displayed by ultrasound (OR=2.471, 95% CI: 1.18 to 5.19, P=0.017) were the independent influencing factors of NSLN metastases. The AUC of MSKCC nomogram in this population was 0.677. For breast cancer patients with positive sentinel lymph node, multifocality, SLN+ /SLN ratio and axillary lymphadenopathy displayed by ultrasound is related to NSLN metastasis. MSKCC has low accuracy in predicting NSLN status of this population.

T-stage and positive sentinel nodes ratio are the useful factors to predict non-sentinel node metastasis in breast cancer patients with macro-metastasis in the sentinel node

IntroductionCurrent guidelines recommend completion axillary lymph node dissection (cALND) in case of a sentinel lymph node (SN) metastasis larger than 2 mm (macrometastasis). However in many patients of those, the non-sentinel lymph nodes (NSN) contain no further metastasis, indicating that axillary lymph node dissection provides no benefit. To identify cases who could have undergone omission of the ALND with confidence, we have retrospectively evaluated the predictive factors of NSN metastasis with positive macrometastasis in the SN. MethodsThis study was based on a retrospective database of 420 patients who underwent sentinel lymph node biopsy (SNB) for breast cancer, of whom 61 patients had SN macrometastasis intra- and postoperatively. We examined predictive factors of NSN involvement in 51 cases of these 61 patients who underwent cALND. All clinical and histological variables were analyzed according to NSN status, by using Mann–Whitney U test, univariate and multivariate logistic regression model. ResultsT stage and the proportion of involved SNs among all identified SNs (SN ratio) were correlated with NSN metastasis. Univariate and multivariate analysis showed that T stage and SN ratio were the independent predictive factor of NSN metastasis. The area under ROC curve for SN ratio was 0.71. The best cut off value of SN ratio was 0.667. Negative predictive value to NSN metastasis in cases with both T2 and more than 0.667 of SN ratio was 85.7%. ConclusionIn patients with invasive breast cancer and macrometastasis of SN, T stage and SN ratio were useful for prediction of NSN metastasis.

Comparison of Different Injection Sites of Methylene Blue for Sentinel Lymph Node Detection in Breast Cancer: Single Institution Experience

INTRODUCTION: Sentinel lymph node biopsy became the gold standard for early stage breast cancer by taking the place of axillary dissection in many centers. Different materials and injection sites can be used for sentinel lymph node biopsy. OBJECTIVES: The purpose of this study is comparing different injection sites for sentinel lymph node biopsy with methylene blue dye and determining ideal injection site for finding the sentinel lymph node. MATERIAL AND METHODS: Three hundred seventeen patients who were underwent to surgery for breast cancer with clinically negative axilla and sentinel lymph node biopsy with methylene blue dye was performed in Istanbul University Cerrahpasa Medical Faculty Department of General Surgery between 2003 and 2011 were included in the study. Patients were grouped according to site of injection (subareolar, peritumoral, upper outer quadrant and peritumoral plus subareolar). Statistical difference between groups was assessed for ratio of finding sentinel lymph node and ratio of false negativity. RESULTS: There were 190 patients in subareolar, 57 in peritumoral, 27 in upper outer quadrant, and 43 in subareolar plus peritumroal groups. Ratio of finding sentinel lymph node was detected as 94. 7%, 94. 7%, 92. 6%, and 97. 7% and ratio of false negativity was detected as 4. 7%, 5. 3%, 0%, and 2. 3% consecutively. Only in the subareolar group, subareolar mass was observed in 14 (7. 3%) patients during follow-up by physical examination. The examinations that were performed for the mass, revealed it as local tissue reaction such as adipose tissue necrosis due to methylene blue injection. CONCLUSION: Even there was no statistically difference between groups for finding sentinel lymph node, subareolar plus peritumoral injection site is more suitable with high ratio of sentinel lymph node detection, low ratio of false negativity, and no local tissue reaction.

Analysis of T-helper type 1 and 2 cells and T-cytotoxic type 1 and 2 cells of sentinel lymph nodes in breast cancer

The immune suppression of sentinel lymph node (SN) is directly influenced by primary tumors. It has been reported that the T-helper type 1 (Th1) to T-helper type 2 (Th2) ratio or T-cytotoxic type 1 (Tc1) to T-cytotoxic type 2 (Tc2) ratio of lymph node lymphocytes could be used to evaluate direct immunological circumstances. We attempted to evaluate the Th1 to Th2 cell and Tc1 to Tc2 cell balance in SN and non-SN and to clarify the immunological status of sentinel nodes in breast cancer. To evaluate this balance, SN and non-SN were identified by radioguided methods and lymph node lymphocytes were collected, and prepared for flow cytometry. The Th1 to Th2 and Tc1 to Tc2 ratio were calculated by 3-color flow cytometry. The ratio of SN and non-SN was compared. The results demonstrated that SN was detected in 24 out of 24 patients (100%). As regards the correlation between SN and non-SN in the same patients, the Th1 to Th2 ratio in SN was significantly lower than that in non-SN for all patients (p<0.05). Among clinicopathological factors, a larger tumor diameter, histology and nodal involvement affected the decreased Th1 to Th2 ratio in SN significantly (p<0.05). We reached the conclusion that the increasing immunosuppressive conditions derived from the tumor may deteriorate the Th1 to Th2 ratio of SN in an earlier stage as compared with non-SN. According to the tumor extension and nodal involvement, the Th1 to Th2 ratio in SN was significantly suppressed. The current result supports that mainly helper T-cell paralysis occurred first in SN and this seems to be a favorable condition in forming lymph node metastases in SN. Moreover, the immunologic interaction between the primary site and regional lymph nodes may serve as useful criteria for identifying sentinel nodes.

High isotope counts and sentinel node positivity in patients with melanoma.

Radioisotope mapping is an essential technical component of sentinel lymph node (SLN) biopsy, and most authors define success by an arbitrary threshold SLN-background ratio. Few studies have examined the degree to which the relative level of SLN counts correlates with the presence of metastasis. Having removed the SLN with the highest counts, there are no data suggesting how far the surgeon should persist in removing additional SLNs that contain much lower levels of isotope. We performed 134 SLN biopsy procedures in 132 patients with melanoma. Successful isotope localization was defined using an SLN/"hottest" SLN ratio; we defined an SLN as any node containing counts at least 10% of that of the hottest SLN. Of 83 patients with more than 1 SLN site identified, 21 (25%) had SLNs that contained metastasis. In 17 (81%) of these cases, the SLN with the highest countcontained tumor, but in 4 (19%) it was benign. Among these 4 patients, the counts of the hottest benign SLNs exceeded those of SLNs positive for metastasis on histological examination by a ratio of at least 10:1, and the counts of the positive SLNs were less than 4:1 of those of the background counts or the presence of blue dye failed to identify the positive SLN. No optimum ratio of SLN/SLN or SLN/background counts identified the positive SLN in all cases. Although the SLN with the highest counts contained metastasis in 81% of patients with malignant melanoma and multiple SLNs, neither a relatively high isotope count nor the presence of blue dye consistently predicted SLN positivity. For maximum accuracy, SLN biopsy requires the removal of all nodes containing isotope regardless of the relative magnitude of counts and the concurrent use of blue dye to salvage those procedures in which isotope mapping fails.