The prognostic significance of the lymph node ratio in axillary lymph node positive breast cancer

Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment

BACKGROUND

Due to recent changes in breast cancer treatment strategy, significantly more patients are treated with neoadjuvant systemic therapy (NST). Radiological methods do not precisely determine axillary lymph node status, with up to 30% of patients being misdiagnosed. Hence, supplementary methods for lymph node status assessment are needed. This study aimed to apply and evaluate machine learning models on clinicopathological data, with a focus on patients meeting NST criteria, for lymph node metastasis prediction.

METHODS

From the total breast cancer patient data (n = 8381), 719 patients were identified as eligible for NST. Machine learning models were applied for the NST-criteria group and the total study population. Model explainability was obtained by calculating Shapley values.

RESULTS

In the NST-criteria group, random forest achieved the highest performance (AUC: 0.793 [0.713, 0.865]), while in the total study population, XGBoost performed the best (AUC: 0.762 [0.726, 0.795]). Shapley values identified tumor size, Ki-67, and patient age as the most important predictors.

CONCLUSION

Tree-based models achieve a good performance in assessing lymph node status. Such models can lead to more accurate disease stage prediction and consecutively better treatment selection, especially for NST patients where radiological and clinical findings are often the only way of lymph node assessment.

The prognostic role of lymph node ratio in breast cancer patients received neoadjuvant chemotherapy: A dose-response meta-analysis

BACKGROUND

As neoadjuvant chemotherapy is widely used in breast cancer patients, the lymph node ratio has not been fully validated as a prognostic indicator of breast cancer received neoadjuvant chemotherapy. This study was conducted to investigate the prognostic value of lymph node ratio in breast cancer patients received neoadjuvant chemotherapy.

METHODS

Systematic searches were performed in the PubMed, Embase, and Cochrane Library databases until 15 December 2021 for studies on the association between lymph node ratio and the prognosis of breast cancer after neoadjuvant chemotherapy. Overall survival and disease-free survival were used as outcome events, and hazard ratio was chosen as the parameter to evaluate the correlation. The dose-response relationship was assessed by restricted cubic splines. In the subgroup analyses, which were used to explore potential heterogeneity among the included studies according to study region and sample size. Sensitivity analysis was performed to assess the stability of individual studies, and publication bias was determined with funnel plots, Begg's test, and Egger's test. All statistical analyses were performed using Stata 15.1.

RESULTS

A total of 12 studies with 4,864 patients were included in this meta-analysis. In this study, high lymph node ratio was significantly associated with decreased overall survival (HR: 4.74; 95%CI: 3.36-6.67; P < 0.001) and disease-free survival (HR: 4.77; 95%CI: 3.69-6.17; P < 0.001). Moreover, the dose-response meta-analysis showed a linear association between higher lymph node ratio and shorter overall survival and disease-free survival in breast cancer patients after neoadjuvant chemotherapy.

CONCLUSIONS

The meta-analysis suggested that high lymph node ratio was significantly associated with short overall survival and disease-free survival in breast cancer patients after neoadjuvant chemotherapy. Therefore, lymph node ratio is an independent predictive factor for the prognosis of breast cancer patients after neoadjuvant chemotherapy, which may better refine the cancer staging system.

Is there an association between thyroid function tests and 18F FDG PET/CT parameters in untreated cancer patients?

Objectives: We aimed to investigate the association between the extent of disease, 18F FDG PET/CT parameters (SUVmax and the highest SUVmax) and thyroid function tests (TFT) (TSH, FT4, FT3, FT3/FT4 ratio, AntiTG, and AntiTPO) in untreated cancer patients. Material and Method: One hundred and seventy-nine patients who underwent FDG PET/CT for metabolic characterization and staging in our clinic between May 2020 and November 2020 were included in the study. Patients were divided into two groups as malignant and benign according to histopathology findings. Thyroid function tests were ordered from all patients at the time of PET/CT imaging. The association between the presence of local lymph node metastasis, distant metastases and thyroid function tests as well as the association between PET/CT parameters and thyroid function tests in benign and malignant groups were statistically analyzed. Results: Thyroid function tests did not exhibit a significant difference between patients with malignant and benign disease (p> 0.05). Univariate logistic regression analysis revealed that age, FT4 value, and the FT3/F4 ratio were significant parameters in predicting distant metastases. These parameters were also significant in predicting mortality. Multivariate logistic regression analysis showed that age was an independent prognostic factor predicting mortality. Conclusion: Thyroid function tests are not decisive in differentiating malignant and benign lesions. While no statistically significant correlation was observed between thyroid function tests and PET/CT parameters, univariate analyses revealed that especially FT4 and FT3/FT4 ratio were significant in predicting disease extent and mortality in malignant disease. Age was found to be an independent prognostic factor in predicting mortality.

Breast Cancer Patients With Positive Apical or Infraclavicular/Ipsilateral Supraclavicular Lymph Nodes Should Be Excluded in the Application of the Lymph Node Ratio System

Aim: Increasing studies have demonstrated lymph node ratio (LNR) to be an accurate prognostic indicator in breast cancer and an alternative to pN staging; however, the AJCC-TNM staging system classified apical or infraclavicular/ipsilateral supraclavicular lymph node-positive (APN(+)) patients with a worse prognosis as the pN3 stage. Until now, different reports on LNR in breast cancer have ignored this possibility. Consequently, it is necessary to discuss the role of APN(+) patients in the LNR system to obtain a precise LNR that predicts the prognosis accurately.

Materials and Methods: We collected data on 10,120 breast cancer patients, including 3,936 lymph node-positive patients (3,283 APN(−) and 653 APN(+) patients), who visited our hospital from 2007 to 2012. Then we applied X-tile analysis to calculate cut-off values and conduct survival analysis and multivariate analysis to evaluate patients’ prognosis.

Results: We confirmed that some APN(+) patients were mis-subgrouped according to previously reported LNR, indicating that APN(+) patients should be excluded in the application of LNR to predict prognosis. Then we applied X-tile analysis to calculate two cut-off values (0.15 and 0.34) for LNR-APN(−) patients and conducted survival analysis and found that LNR-APN(−) staging was superior to pN staging in predicting the prognosis of APN(−) breast cancer patients.

Conclusion: From this study, we conclude that excluding APN(+) patients is the most necessary condition for effective implementation of the LNR system. LNR-APN(−) staging could be a more comprehensive approach in predicting prognosis and guiding clinicians to provide accurate and appropriate treatment.

Prognostic value of SUVmax in breast cancer and comparative analyses of molecular subtypes: A systematic review and meta-analysis

BACKGROUND

To assess the prognostic capability of the maximum standardized uptake values (SUVmax) measured in the primary tumor and axillary lymph nodes (ALNs) by pretreatment fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography and analyze outcomes according to the molecular breast cancer subtypes.

METHODS

The databases were systematically searched using keywords for breast cancer, positron emission tomography/computed tomography, and SUVmax; the extracted studies reported at least 1 form of survival data, event-free survival (EFS) and overall survival. Comparative analyses of the pooled hazard ratios (HRs) for EFS and overall survival were performed to assess their correlations with SUVmax. The pooled HR was estimated using random-effects model according to the results of heterogeneity.

RESULTS

Thirteen eligible studies comprising 3040 patients with breast cancer were included. The pooled HRs of high SUVmax in the primary tumor and ALN were 3.01 (95% CI 1.83-4.97, P < .00001; I2 = 82%) and 3.72 (95% CI 1.15-12.01; I2 = 92%; P = .03), respectively. Patients with higher SUVmax demonstrated a poorer survival prognosis. Furthermore, comparative analyses according to the molecular subtypes demonstrated that the SUVmax in the primary tumor or ALN can be a predictive parameter in patients with the luminal subtype disease. Subtype analysis results indicated a significant association of the luminal group, with a HR of 2.65 (95% CI 1.31-5.37; I2 = 27%; P = .007).

CONCLUSIONS

SUVmax from pretreatment is a significant prognostic factor for EFS in patients with breast cancer. Despite several limitations, correlation with molecular subtype (luminal type) was demonstrated. Further large-scale studies are required to investigate the precise prognostic capability of SUVmax.

Prognostic implications of regression of metastatic axillary lymph nodes after neoadjuvant chemotherapy in patients with breast cancer

Prognostic implications of therapeutic response of metastatic lymph nodes (LNs) to neoadjuvant chemotherapy (NAC) remain unclear in patients with breast cancer. We aimed to evaluate the prognostic value of axillary LN regression after NAC in locally-advanced breast cancer patients. Therapeutic response of the LNs was evaluated in 563 breast cancer patients and classified into four grades according to the regression pattern. Initial pathologic N stage was estimated from the sum of the metastatic LNs and those with complete regression. In survival analyses, LN regression grade, pathologic N stage after NAC, and presumed initial pathologic N stage stratified clinical outcome of the patients in the whole group, in both ER-positive and ER-negative subgroups, and in those with residual breast disease. On multivariate analysis, LN regression grade and presumed initial pathologic N stage were revealed as independent prognostic factors. The number of completely-responsive LNs and the ratio of non-responsive LNs also revealed a prognostic value. In conclusion, regression grade of axillary LNs and presumed initial pathologic N stage have prognostic values in breast cancer patients who receive NAC. Thus, regression of axillary LNs should be evaluated and included in pathologic reporting of post-NAC resection specimens.

A Comparison of the Diagnostic Value of Positron Emission Tomography/Computed Tomography and Ultrasound for the Detection of Metastatic Axillary Nodal Disease in Treatment-Naive Breast Cancer

ABSTRACT

The objective of this study was to describe the diagnostic value of positron emission tomography/computed tomography (PET/CT) and ultrasound (US) for identifying metastatic axillary disease in primary breast cancer. This is a retrospective review of 240 patients with treatment-naive unilateral primary breast cancer of at least stage T2. Eighty-five patients met our inclusion criteria. Initial whole-body PET/CT and axillary US examinations were reviewed and compared with the criterion standard of fine-needle aspiration cytology. Sensitivity, accuracy, and positive predictive value (PPV) for each modality were computed. Because of all positive US cases, specificity and negative predictive value of US were not determined. Sensitivity and accuracy between modalities were compared using McNemar test. The majority of the patients were White women with clinical inflammatory breast cancer and with histologically invasive ductal carcinoma. The most common tumor and nodal stage was T4N3. The tumors were predominantly estrogen receptor positive, progesterone receptor negative, and human epidermal growth factor receptor 2 negative. The sensitivities of PET/CT and US were 96.2% and 100%, respectively. The accuracies for PET/CT and US were 91.8% and 94.1%, respectively. The PPV for PET/CT was 95.1%, and for US, the PPV was 94.1%. No significant difference in sensitivity or accuracy was shown between PET/CT and US for the diagnosis of metastatic axillary nodal disease. Three of 85 cases showed discordance between negative PET/CT and positive US and fine-needle aspiration cytology.

The prognostic value of lymph node ratio in survival of non-metastatic breast carcinoma patients

PURPOSE

This study was conducted to assess the correlation between lymph node ratio (LNR) and prognosis of non-metastatic invasive breast carcinoma.

METHOD

This retrospective study examined 455 patients who were diagnosed with non-metastatic, unilateral invasive breast carcinoma and underwent either breast conservative surgery (BCS) or modified radical mastectomy (MRM) with axillary lymph node dissection (ALND) with at least one lymph node identified in the ALND specimen. Receiver operating characteristics (ROC) curve analysis was used to find out predictive cut-off values of the LNR and negative lymph nodes (NLN).

RESULTS

The median follow-up duration was 38 months. The median DFS and OS were 68 months and 72 months, respectively. 25.1% of patients had reported recurrence. The optimal cut-off value of LNR was 0.40. LNR was found to correlate significantly with pathological T (p < 0.001), pathological N (p < 0.001), and NLN (p < 0.001). Univariate analysis of the patients showed that the age group ≤ 35 years, menstrual status, pathological T, nodal status, lymphovascular invasion (LVI), perineural invasion (PNI), tumor grade, estrogen receptor (ER), progesterone receptor (PR), molecular subtypes, LNR, and NLN can affect disease-free survival (DFS) (p < 0.05) and OS (p < 0.05). Multivariate analysis showed that the pathological T (p < 0.001), menstrual status (p = 0.030), and LNR (p < 0.001) were the independent prognostic factors for DFS. Pathological T (p < 0.001) and LNR (p < 0.001) were the independent prognostic factors affecting OS.

CONCLUSION

LNR is the independent prognostic factor of DFS and OS for non-metastatic breast carcinoma.

Utility of regional nodal irradiation in Japanese patients with breast cancer with 1-3 positive nodes after breast-conserving surgery and axillary lymph-node dissection

The utility of regional nodal irradiation (RNI) is being considered in cases of 1-3 axillary node metastases after breast-conserving surgery (BCS) with axillary lymph-node dissection (ALND). Therefore, we examined the necessity of RNI by examining the sites of recurrences in cases at our institution. We retrospectively analyzed 5,164 cases of primary breast cancer between January 2000 and December 2014 at the Aichi Cancer Centre, identifying local and distant recurrences in 152 patients with primary breast cancer treated with BCS and ALND and who had 1-3 positive axillary nodes. All patients received whole-breast irradiation (WBI) and adjuvant systemic therapy with either chemotherapy or anti-endocrine therapy with or without anti-human epidermal growth factor receptor 2 therapy. The present study excluded patients with ipsilateral breast tumor recurrence, contralateral breast cancer, neoadjuvant chemotherapy, T4 tumors or N2-3 nodes and distant metastasis. From the database of our institution, we identified 152 cases that met the defined criteria. The median follow-up period was 71 months (1-176). Isolated locoregional recurrences were found in three patients (2.0%) and were recurrent only in the breast. Only one patient had local lymph node recurrence with distant recurrence. The 10-year rates of isolated regional disease-free survival (DFS), DFS, and overall survival were 95.41, 89.50 and 96.75%, respectively, which was better compared with previous studies. We conclude that the addition of RNI to WBI is not necessary for Japanese patients who have 1-3 positive axillary nodes and ALND.

Negative Lymph Node Count and Lymph Node Ratio Are Associated With Survival in Male Breast Cancer

BACKGROUND

Male breast cancer (MBC) is usually diagnosed at late stages and therefore has a worse prognosis than female breast cancer (FBC). MBC is also more likely to have lymph node (LN) involvement than FBC.

MATERIALS AND METHODS

We sought to determine the prognostic role of the examined lymph node (LN), negative LN (NLN), and positive LN counts and the LN ratio (LNR), defined as (positive LNs/ENLs), on the survival rate among MBC patients. We performed a large population-based study using the data from the Surveillance, Epidemiology, and End Results program.

RESULTS

Older age, black race, stage IV disease, ≤ 1 NLN, and a > 31.3% LNR were significantly associated with worse survival across all prediction models. Moreover, we demonstrated a decreased risk of mortality in MBC patients across the MBC-specific survival model (hazard ratio, 0.98; 95% confidence interval, 0.96-0.998; P = .03) and 10-year MBC-specific survival model (hazard ratio, 0.98; 95% confidence interval, 0.96-0.999; P = .04).

CONCLUSION

MBC has had an augmented incidence over the years. We found several independent predictors of MBC survival, including age, race, stage, NLNs, and the LNR. We strongly suggest adding the NLN count and/or LNR into the current staging system. Further studies are needed to provide information on the mechanisms underlying the association between the NLN count and MBC survival and the LNR and MBC survival.

The prognostic value of SUVmax measuring on primary lesion and ALN by 18F-FDG PET or PET/CT in patients with breast cancer

PURPOSE

To evaluate the prognostic value of maximum standardized uptake values (SUV_max) measured in the primary lesion and axillary lymph nodes (ALN) by pretreatment fluorine-18-fluorodeoxyglucose (¹⁸F-FDG) positron emission tomography (PET) or positron emission tomography/computed tomography (PET/CT) in patients with breast cancer.

METHODS

We systematically searched PubMed, Embase, and the Cochrane Library. The primary prognosis endpoint was event-free survival (EFS), and the secondary endpoint was overall survival (OS). The pooled hazard ratio (HR) was estimated by using random-effects model according to the results of heterogeneity.

RESULTS

Fifteen eligible studies with 3574 breast cancer patients were included. For EFS, patients with higher primary SUV_max showed a poorer survival prognosis with pooled HR of 1.96 (95% confidence interval (CI) 1.40-2.73). The combined HR of high SUV_max in ALN and ALN-to-primary SUV_max ratio (N/T ratio) were 1.89 (95% CI 0.70-5.07) and 2.06 (95% CI 0.59-7.21), respectively. In analyzing invasive ductal carcinoma (IDC) patients, the pooled HR was 1.91 (95% CI 1.40-2.64). For OS, the pooled HR of SUV_max in primary lesion and ALN were 0.64 (95% CI 0.23-1.84) and 1.09 (95% CI 0.07-16.53), respectively.

CONCLUSIONS

Our meta-analysis suggested that patients with high primary SUV_max may experience a higher risk for recurrence or a poor progression. Moreover, the SUV_max of ¹⁸F-FDG showed a significant prognostic value in IDC patients.

The lymph node ratio as an independent prognostic factor for node-positive triple-negative breast cancer

BACKGROUND

We aimed to evaluate the prognostic value of the lymph node ratio (LNR) in patients with axillary lymph node-positive triple-negative breast cancer (TNBC).

METHODS

The prognostic efficacy was investigated in the first cohort from the Surveillance, Epidemiology, and End Results (SEER) dataset (n=4114) and was further validated in an independent cohort from Fudan University Shanghai Cancer Center (n=417). Patients were classified into low-, medium- and high-risk LNR groups.

RESULTS

Multivariate analysis revealed that the LNR was an independent predictor of overall survival (hazard ratio (HR) for high-risk LNR: 3.24; 95% confidence interval (CI): 2.56 to 4.09) and breast cancer-specific survival (HR for high-risk LNR: 3.57; 95% CI: 2.76 to 4.62) in the SEER population and also for disease-free survival (HR for high-risk LNR: 4.29; 95% CI: 2.24-8.21) in the validation population. Subgroup analysis revealed that patient classification according to the LNR could discriminate among groups of patients with different survival rates based on pathological nodal (pN) staging.

CONCLUSION

The LNR shows potential for use as an additional prognostic factor for TNBC patients with positive lymph node involvement. Considering the heterogeneity of TNBC, use of the LNR might allow for optimization of the pN staging system and should be considered when making treatment decisions.

Lymph node ratio as an alternative to pN staging for predicting prognosis after neoadjuvant chemotherapy in breast cancer

Axillary nodal status is one of the most important prognostic factors in breast cancer. The lymph node ratio (LNR) has been suggested as an independent prognostic factor because the number of dissected and involved lymph nodes might differ across institutions. Neoadjuvant chemotherapy (NAC) has been the preferred treatment method for reducing tumor mass in the breast and axillary area. However, NAC can reduce total number of excised lymph nodes compared with upfront surgery. Therefore, an emerging question is whether axillary nodal status and LNR following NAC can accurately predict prognosis. We evaluated the prognostic value of axillary nodal status and LNR after NAC. A total of 236 patients were enrolled. Patients were divided into four groups according to the following cut-off values for LNR: 0 (n = 107), 0.01-0.20 (n = 68), 0.21-0.65 (n = 50) and >0.65 (n = 11). Pathologic complete responses were observed in 16.9% of the overall cohort. In univariate analysis, pathologic N stage was a significant prognostic factor of disease free survival (DFS, p = 0.013) and overall survival (OS, p = 0.004). However, in multivariate analysis, hormone receptor status (p = 0.043) and LNR (p = 0.028) were significantly associated with DFS and LNR (p = 0.017) showed statistical significance for OS; however, pathologic N stage was no longer significantly associated with DFS or OS. Traditional nodal staging has been accepted as an important prognostic factor; however, our result indicated that the nodal ratio could be an alternative to pN staging as a prognostic factor after NAC in breast cancer.

Thirty-Year Trends of Survival and Time-Varying Effects of Prognostic Factors in Patients With Metastatic Breast Cancer-A Single Institution Experience

BACKGROUND

Metastatic breast cancer is generally considered an incurable disease. In our study we aimed to detect a time trend of survival over the past 30 years and account for time-varying effects of the prognostic factors.

PATIENTS AND METHODS

A total of 446 patients diagnosed with breast cancer at Saint Vincent de Paul Hospital, Lille, France between 1977 and 2013 who developed metastatic disease after a disease-free interval longer than 3 months and were followed-up for outcome. Data were analyzed using the Cox proportional hazards model and presented as hazard ratios (HRs).

RESULTS

A monotonic time trend of survival was detected: a 2.6% lower risk of death for each increasing year over the past 30 years. Three prognostic factors had time-varying effects; the liver first metastasis (HR during the first 16 months of follow-up: 2.26; 95% confidence interval [CI], 1.65-3.11), the bone first metastasis (HR during the first 24 months of follow-up: 0.56; 95% CI, 0.43-0.74), and the disease-free interval (HR during the first 16 months of follow-up: 0.90; 95% CI, 0.85-0.95). The brain first metastasis, multiple first metastases, the lymph node ratio, and estrogen receptor status had a constant effect over time.

CONCLUSION

In our study we detected a constant time trend of improvement in prognosis of metastatic breast cancer patients over the past 30 years and identified prognostic factors with time-varying effects.

The value of positive lymph nodes ratio combined with negative lymph node count in prediction of breast cancer survival

BACKGROUND

Positive lymph node ratio (LNR), defined as ratio of positive lymph nodes to all lymph nodes removed, is a powerful prognostic factor in invasive breast cancer. Here we focused on the impact of negative lymph node (NLN) count on the prediction of value of LNR in breast cancer survival.

METHODS

Of 929 invasive breast cancer patients were enrolled in our retrospective study. We use Kaplan-Meier to calculate the 5-year overall survival (OS) according to different clinicopathologic parameters. The prediction value of NLN count and LNR in OS was examined.

RESULTS

The optimal cutoff of NLN count was designated as 9. Five-year OS was 77.0% and 95.0% in patients with NLN of 0-9 and ≥10, respectively (P<0.001). Among 204 patients who had 0-9 NLN, 25 patients with LNR 0-20.0% had 5-year OS of 95.7%, 104 patients with LNR 20.1-65.0% had 5-year OS of 83.4%, and 75 patients with LNR 65.1-100.0% had 5-year OS of 61.7% (P<0.001); Among 725 patients who had NLN ≥10, 650 patients with LNR 0-20.0% had 5-year OS of 96.1%, 68 patients with LNR 20.1-65.0% had 5-year OS of 86.8%, and 7 patients with LNR 65.1-100% had 5-year OS of 71.4% (P<0.001).

CONCLUSIONS

High NLN count is associated with improved survival in invasive breast cancer patients. Combining NLN count with LNR could be considered as an alternative to LNR alone in prediction of postoperative breast cancer survival.

Comparative Analysis of Immune Activation Markers of CD8+ T Cells in Lymph Nodes of Different Origins in SIV-Infected Chinese Rhesus Macaques

Altered T-cell homeostasis, such as expansion of CD8⁺ T cells to the secondary lymphatic compartments, has been suggested as a mechanism of HIV/simian immunodeficiency virus (SIV)-pathogenesis. However, the role of immune activation of CD8⁺ T cells in the CD4/CD8 turnover and viral replication in these tissues is not completely understood. In this study, we compared the expression of immune activation markers (CD69 and HLA-DR) on CD8⁺ T cells in the peripheral blood and lymph nodes (LNs) of SIV-infected/uninfected Chinese rhesus macaques. SIV-infected macaques had significantly higher percentages of CD8⁺CD69⁺ and CD8⁺HLA-DR⁺ T cells in all these anatomical compartments than uninfected macaques. LNs that located close to the gastrointestinal (GI) tract (colon, mesenteric, and iliac LNs) of SIV-infected macaques had profoundly lower numbers of CD4⁺ T cells, but no significant difference in expression of activation marker (CD8⁺CD69⁺ and CD8⁺HLA-DR⁺) as compared with the peripheral lymphatic tissues (axillary and inguinal LNs). The CD4/CD8 ratios were negatively correlated with the activation of CD8⁺ T cells in the overall LNs, with further associations with CD8⁺HLA-DR⁺ in GI LNs while CD8⁺CD69⁺ in peripheral LNs. These observations demonstrate that the increase of CD8⁺ T cell activation is a contributing factor for the decline of CD4/CD8 ratios in GI system.

Axillary Lymph Node-to-Primary Tumor Standard Uptake Value Ratio on Preoperative (18)F-FDG PET/CT: A Prognostic Factor for Invasive Ductal Breast Cancer

Purpose

This study assessed the axillary lymph node (ALN)-to-primary tumor maximum standard uptake value (SUV_max) ratio (ALN/T SUV ratio) in invasive ductal breast cancer (IDC) on preoperative ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) to determine the effectiveness in predicting recurrence-free survival (RFS).

Methods

One hundred nineteen IDC patients (mean age, 50.5±10.5 years) with pathologically proven ALN involvement without distant metastasis and preoperative FDG PET/CT were enrolled in the study. SUV_max values of the ALN and primary tumor were obtained on FDG PET/CT, and ALN/T SUV ratio was calculated. Several factors were evaluated for their effectiveness in predicting RFS. These included several parameters on FDG PET/CT as well as several clinicopathological parameters: pathologic tumor/node stage; nuclear and histological grade; hormonal state; status with respect to human epidermal growth factor receptor 2, mindbomb E3 ubiquitin protein ligase 1 (MIB-1), and p53; primary tumor size; and ALN size.

Results

Among 119 patients with breast cancer, 17 patients (14.3%) experienced relapse during follow-up (mean follow-up, 28.4 months). The ALN/T SUV ratio of the group with disease recurrence was higher than that of the group without recurrence (0.97±1.60 and 0.45±0.40, respectively, p=0.005). Univariate analysis showed that the primary tumor SUV_max, ALN SUV_max, ALN/T SUV ratio, ALN status, nuclear and histological grade, estrogen receptor (ER) status, and MIB-1 status were predictors for RFS. Among these variables, ALN/T SUV ratio with hazard ratio of 4.20 (95% confidence interval [CI], 1.74-10.13) and ER status with hazard ratio of 4.33 (95% CI, 1.06-17.71) were predictors for RFS according to multivariate analysis (p=0.002 and p=0.042, respectively).

Conclusion

Our study demonstrated that ALN/T SUV ratio together with ER status was an independent factor for predicting relapse in IDC with metastatic ALN. ALN/T SUV ratio on preoperative FDG PET/CT may be a useful marker for selecting IDC patients that need adjunct treatment to prevent recurrence.

Metastatic axillary lymph node ratio (LNR) is prognostically superior to pN staging in patients with breast cancer--results for 804 Chinese patients from a single institution

The number of axillary lymph nodes involved and retrieved are important prognostic factors in breast cancer. The purpose of our study was to investigate whether the lymph node ratio (LNR) is a better prognostic factor in predicting disease-free survival (DFS) for breast cancer patients as compared with pN staging. The analysis was based on 804 breast cancer patients who had underwent axillary lymph node dissection between 1999 and 2008 in Sun Yat-Sen University Cancer Center. Optimal cutoff points of LNR were calculated using X-tile software and validated by bootstrapping. Patients were then divided into three groups (low-, intermediate-, and high-risk) according to the cutoff points. Predicting risk factors for relapse were performed according to Cox proportional hazards analysis. DFS was estimated using the Kaplan-Meier method and compared by the log-rank test. The 5-year DFS rate decreased significantly with increasing LNRs and pN. Univariate analysis found that the pT , pN, LNR, molecule type, HER2, pTNM stage and radiotherapy well classified patients with significantly different prognosis. By multivariate analysis, only LNR classification was retained as an independent prognostic factor. Furthermore, there was a significant prognostic difference among different LNR categories for pN2 category, but no apparent prognostic difference was seen between different pN categories in any LNR category. Therefore, LNR rather than pN staging is preferable in predicting DFS in node positive breast cancer patients, and routine clinical decision-making should take the LNR into consideration.

Vascular invasion as an independent prognostic factor in lymph node negative invasive breast cancer

INTRODUCTION

Identification of simple and measurable prognostic factors is an important issue in treatment evaluation of breast cancer. The present study was conducted to evaluate the prognostic role of vascular invasion in lymph node negative breast cancer patients.

METHODS

in a retrospective design, we analyzed the recorded profiles of the 1,640 patients treated in the breast cancer department of Motahari clinic affiliated to Shiraz University of Medical Sciences, Shiraz, Iran, from January 1999 to December 2012. Overall and adjusted survivals were evaluated by the Cox proportional hazard model. All the hypotheses were considered two-sided and a p-value of 0.05 or less was considered as statistically significant.

RESULTS

Mean age in lymph node negative and positive patients was 50.0 and 49.8 respectively. In lymph node negative patients, the number of nodes, tumor size, lymphatic invasion, vascular invasion, progesterone receptor, and nuclear grade were significant predictors. In lymph node and lymphatic negative patients, vascular invasion also played a significant prognostic role in the survival which was not evident in lymph node negative patients with lymphatic invasion.

DISCUSSION

The results of our large cohort study, with long term follow up and using multivariate Cox proportional model and comparative design showed a significant prognostic role of vascular invasion in early breast cancer patients. Vascular invasion as an independent prognostic factor in lymph node negative invasive breast cancer.

Lobular ectopic breast carcinoma: A case-report

In about 1-2% of the population an incomplete regression of the embryonic mammary line occurs, which may result in the presence of ectopic breast tissue. An ectopic breast tissue carcinoma is a rare entity. The authors present a case-report of a 51-year-old female patient, with a lobular carcinoma in an axillary ectopic breast tissue submitted to surgery and adjuvant radiotherapy.

Lymph Node Ratio

St. Gallen 2005 expert consensus guideline modified its criteria for the risk category of breast cancer (BC) patients by integrating a combination of lymph nodes with metastasis (positive lymph nodes [PLNs]) and HER-2/neu status of tumor. Recently, some studies have shown that lymph node ratio (LNR), defined as the ratio of axillary lymph nodes with tumor metastasis to the total lymph nodes dissected, was a better independent prognostic indicator than PLN and should be considered as an alternative to the status of regional lymph nodes in the staging of breast cancer (pN). In the current study, the authors retrospectively reviewed 1095 primary BC patients with PLN and assessed the prognostic effect of LNR measured by relapse-free survival and overall survival to explore the feasibility of LNR and HER-2/neu status in stratifying the risk category of BC. Our results indicate that although by univariate analysis and when assessed as single covariate in multivariate analysis, both PLN and LNR were independent prognostic factors, PLN lost its significance when combined with LNR as covariates. A cutoff value of LNR = 0.30 was identified to show high accuracy in separating patients based on their survivals. The risk categories defined by LNR combined with HER-2/neu status were compatible to those defined by the PLN in combination with HER-2/neu status. LNR was a strong prognostic predictor of node-positive BC patients, superior to PLN. It should be considered as a new factor to couple with HER-2/neu status in defining risk category of BC patients.