Using the lymph nodal ratio to predict the risk of locoregional recurrence in lymph node-positive breast cancer patients treated with mastectomy without radiation therapy

Role of Metastatic Lymph Nodes to Totally Removed Lymph Nodes Ratio in Breast Cancer?

Aim

To determine prognostic ratio of metastatic lymph nodes to totally removed lymph nodes (MLN/TRLN) on overall and progression-free survival with diagnosis of breast cancer.

Material and method

Radiation Oncology department of Kayseri Training and Research Hospital, relationship of MLN/TRLN between prognosis and other prognostic factors was evaluated in T1-3 and N1-3 non-metastatic breast cancer patients.

Results

Two hundred female patients and 5 male patients with an average age of 56 years were enrolled in this study. Of all patients, 63.4% of the patients were postmenopausal and modified radical mastectomy was performed in 96.6% of them. While 93.2% of the patients were diagnosed with invasive ductal carcinoma, 52.7% of them had clinical N1 disease, 62% of them were staged as T2, 94% of them received chemotherapy and 57.1% of them received hormonal therapy. Metastatic lymph node ratio below 0.2 was 48.8%, between 0.21–0.65 it was 35.1% and above 0.65% it was 16.1%. Five-year Overall survival and progression-free survival rates were 76% and 58% respectively. Statistically significant difference was found between MLN/TRLN and age (p = 0.044), chemotherapy (p = 0.039), pathological lymph nodes (p <0.001) according to Pearson's Chi-Squared test. Factor affecting overall survival was Progesterone receptor status (p = 0.021) and for progression-free survival they were gender (p = 0.003) and human epidermal growth factor receptor 2 (p = 0.018). Univariate and multivariate analysis found that gender (p = 0.04, OR 5.9, CI: 1.7–19.6) and lymph node (p = 0.05, OR: 1.4, CI: 0.9–2.1) were significant factors affecting progression-free survival.

Conclusion

MLN/TRLN was shown to have no effect on prognosis in non-metastatic breast cancer patients due to small number of patients and short follow-up period.

Lymph Node Ratio Predicts Long-Term Survival in Lymph Node-Positive Breast Cancer

Objective

In this study, we aimed to evaluate the prognostic value of axillary lymph node ratio (LNR) for disease-free survival (DFS) in node positive breast cancer (BC) patients with long term follow-up.

Materials and Methods

A total of 179 stage II to III female BC patients, who were followed between December 2001 and January 2019 at the department of medical oncology, were included in this study. Patients were classified into 3 groups based on the LNR as follows; LNR<0.21, LNR=0.21-0.65, and LNR>0.65. SPSS 22 for windows was used for statistical analysis.

Results

The median age was 49 (range, 24-83) years. The numbers of patients with stage II and stage III disease were 81 (45.3%) and 98 (54.7%), respectively. The median number of lymph node (LN) resected and positive LN were 15 (range, 3-48) and 3 (range, 1-29), respectively. There were 90 patients (50.3%) with LNR <0.21, 62 (34.6%) with LNR=0.21-0.65, and 27 (15.1%) with LNR >0.65. The median disease-free survival (DFS) was not reached in patients with LNR <0.21, 81 months in patients with LNR=0.21-0.65, and 43 months in patients with LNR>0.65 (p<0.001). Overall survival (OS) was found to be significantly related to LNR (p=0.042). In patients with LNR<0.21 and LNR=0.21-0.65, the median OS was not reached. In patients with LNR >0.65, the median OS was 101 months. In multivariate analysis, LNR=0.21-0.65 (Hazard ratio [HR], 6.99), LNR>0.65 (HR, 28.99), and HER-2 negativity (HR, 4.64) were the factors associated with DFS (p<0.05).

Conclusion

LNR is a more useful prognostic factor than the pathological lymph node staging for predicting survival in patients with nod-positive BC.

The prognostic significance of the lymph node ratio in oral cancer differs for anatomical subsites

The aim of this study was to validate the prognostic significance of the lymph node ratio (LNR) in patients suffering from oral squamous cell carcinoma in regard to different anatomical subsites. A cohort of 430 patients was investigated to determine the rates of primary metastasis and local and regional disease recurrence. Correlation analysis of the LNR with relevant clinical and pathological parameters was performed. Receiver operating characteristic (ROC) curve analysis was conducted to evaluate the prognostic impact for different subsites. Significantly differing rates of primary metastasis and loco-regional disease recurrence were found for cancer of different anatomical subsites of the head and neck. Furthermore, ROC curve analysis suggested that LNR has prognostic relevance in subsets of cancer (tongue, P< 0.001; alveolar process, P= 0.04; maxilla, P= 0.03; buccal mucosa, P= 0.02). The LNR of cancer located in the soft palate (P= 0.6) and floor of the mouth (P= 0.11) showed little or no association with the clinical outcome. There is the need for a more sensitive consideration of the LNR as a factor in the assessment of risk and the treatment decision, as the anatomical subsite plays a crucial role in its impact on the clinical outcome.

Quantifying the number of lymph nodes for examination in breast cancer

OBJECTIVE

Examining the correct number of lymph nodes when diagnosing breast cancer invasion is still a problem. This work aimed to develop a qualification model that estimates the possibility of missing nodes and the number of lymph nodes that need to be examined.

METHODS

By analyzing lymph node invasion of 303,760 breast cancer samples with primary tumor stage and the number of examined and positive lymph nodes from the Surveillance, Epidemiology and End Results database using a beta-binomial model, the number of nodes that should be examined was quantified in different stages.

RESULTS

In general, to reduce the possibility of missing positive nodes to less than 10%, 21 lymph nodes should be examined; thus, the current median of dissected nodes (12) is not adequate. The number of nodes needed to be dissected for stages T1, T2, and T3 are 8, 37, and 87, respectively. Currently, the median number of node dissections for these stages were 12, 13, and 14, respectively. The clinical significance of the nodal staging score was validated with survival information.

CONCLUSION

Currently, the number of lymph nodes dissected in breast cancer are excessive for T1 but insufficient for T2 and T3.

How many ELNs are optimal for breast cancer patients with more than three PLNs who underwent MRM? A large population-based study

Background

Few studies have focused on the optimal threshold of examed lymph nodes (ELNs) for breast cancer patients with more than three positive lymph nodes after modified radical mastectomy.

Materials and methods

The X-tile and the minimum P-value models were applied to determine the optimal threshold. Cox proportional hazard analysis was used to analyze the cancer-specific survival and perform subgroup analysis.

Results

The results showed that 12 ELNs was the optimal threshold for these patients, and the patients with >12 ELNs had a better cancer-specific survival benefit compared with the patients with <12 ELNs (P<0.001).

Conclusion

The number 12 can be selected as the optimal threshold of ELNs for breast cancer patients with >3 positive lymph nodes after modified radical mastectomy.

The appropriate number of ELNs for lymph node negative breast cancer patients underwent MRM: a population-based study

Whether number of examed lymph nodes (ELNs) would bring survival benefit for patients with negative lymph nodes after modified radical mastectomy (MRM) is uncertain. In our study, using the Surveillance Epidemiology and End Results (SEER) database between 2004 and 2009, we screened the appropriate patients with negative lymph nodes underwent MRM. The Cox proportional hazard analysis was used to determine the effect of number of ELNs on cancer specific survival (CSS). The results showed that the number of ELNs was not an independent prognostic factor on CSS (P = 0.940). Then the X-tile mode was used to determine the appropriate threshold for ELNs count. The results showed that 9 was the appropriate cut-off point. Next, the log-rank χ² test was used to analyze the CSS based on different subgroup variables. The results showed that some subgroup variables including age < 50/ ≥ 50, grade I/III, AJCC T1/T2, ER positive/negative and PR positive/negative ,demonstrated significant CSS benefits among the patients with the number of ELNs ≤ 9 (all, P < 0.05). However, three subgroup variables including grade II, AJCC T3 and AJCC T4, the patients with the number of ELNs ≤ 9 did not bring significant CSS benefits (all, P > 0.1). In conclusion, our study demonstrated that the number of ELNs was not an independent prognostic factor on CSS, and 9 can be selected as the appropriate cut-off point of ELNs for patients with negative lymph nodes who underwent MRM.

Ratio and log odds of positive lymph nodes in breast cancer patients with mastectomy

PURPOSE

This study aimed to investigate the predictive role of lymph nodes (LNs) and assess the prognostic significance of the ratio of positive LNs (LNR) and log odds of positive LNs (LODDS) in breast cancer patients who have undergone a mastectomy.

PATIENTS AND METHODS

All of the breast cancer patients in the Taiwan Cancer Database during 2002-2006 were considered. We excluded patients who had inflammatory breast cancer, stage 0 and IV disease, breast conservative surgery or survival <1 month. The primary end point was overall survival (OS). A Cox hazards model was constructed and compared via Nagelkerke R(2) (R(2)N) and receiver operating characteristics (ROC).

RESULTS

A total of 11,349 (6042 node-negative, 5307 node-positive) patients were enrolled, and 10.5% patients had a limited number of LNs harvested. In a multivariate Cox model, LNR and LODDS demonstrated prognostic significance (<0.001). For node-positive patients, a model with LNR showed the best fit (P < 0.001; R(2)N = 18.2%) when sufficient LNs were examined. However, a model with LODDS showed the best fit in patients with a limited number of LNs harvested (P < 0.001; R(2)N = 21.1%), even in node-negative patients (P = 0.004; R(2)N = 13.5%). The area under the ROC curve (AUC) was highest for LODDS (AUC: 0.761), followed by LNR (AUC: 0.757). A limited LN harvest induced an AUC value for an approximate 3.6% loss (LNR) or 3.1% loss (LODDS).

CONCLUSION

The prognostic superiority of LNR is confounded by a limited LN harvest, thus making LODDS the most powerful and unified prognostic classifier in breast cancer patients who have had a mastectomy.

Postmastectomy radiotherapy improves disease-free survival of high risk of locoregional recurrence breast cancer patients with T1-2 and 1 to 3 positive nodes

Objectives

The indications for post-mastectomy radiotherapy (PMRT) with T1-2 breast cancer and 1-3 positive axillary lymph nodes is still controversial. The purpose of this study was to investigate the role of PMRT in T1-2 breast cancer with 1-3 positive axillary lymph node.

Methods

We retrospectively reviewed the file records of 79 patients receiving PMRT and not receiving PMRT (618 patients).

Results

The median follow-up was 65 months. Multivariate analysis showed that PMRT was an independent prognostic factor of locoregional recurrence-free survival (LRFS) (P = 0.010). Subgroup analysis of patients who did not undergo PMRT showed that pT stage, number of positive axillary lymph nodes, and molecular subtype were independent prognostic factors of LRFS. PMRT improved LRFS in the entire group (P = 0.005), but did not affect distant metastasis-free survival (DMFS) (P = 0.494), disease-free survival (DFS) (P = 0.215), and overall survival (OS) (P = 0.645). For patients without PMRT, the 5-year LRFS of low-risk patients (0–1 risk factor for locoregional recurrence) of 94.5% was significantly higher than that of high-risk patients (2-3 risk factors for locoregional recurrence) (80.9%, P < 0.001). PMRT improved LRFS (P = 0.001) and DFS (P = 0.027) in high-risk patients, but did not improve LRFS, DMFS, DFS, and OS in low-risk patients.

Conclusions

PMRT is beneficial in patients with high risk of locoregional recurrence breast cancer patients with T1-2 and 1 to 3 positive nodes.

Number of negative lymph nodes should be considered for incorporation into staging for breast cancer

This study aimed to investigate the prognostic value of the number of involved lymph nodes (pN), number of removed lymph nodes (RLNs), lymph node ratio (LNR), number of negative lymph nodes (NLNs), and log odds of positive lymph nodes (LODDS) in breast cancer patients. The records of 2,515 breast cancer patients who received a mastectomy or breast-conserving surgery were retrospectively reviewed. The log-rank test was used to compare survival curves, and Cox regression analysis was performed to identify prognostic factors. The median follow-up time was 64.2 months, and the 8-year disease-free survival (DFS) and overall survival (OS) were 74.6% and 82.3%, respectively. Univariate analysis showed that pN stage, LNR, number of RLNs, and number of NLNs were significant prognostic factors for DFS and OS (all, P < 0.05). LODDS was a significant prognostic factor for OS (P = 0.021). Multivariate analysis indicated that pN stage and the number of NLNs were independent prognostic factors for DFS and OS. A higher number of NLNs was associated with higher DFS and OS, and a higher number of involved lymph nodes were associated with poorer DFS and OS. Patients with a NLNs count > 9 had better survival (P < 0.001). Subgroup analysis showed that the NLNs count had a prognostic value in patients with different pT stages and different lymph node status (log-rank P < 0.05). For breast cancer, pN stage and NLNs count have a better prognostic value compared to the RLNs count, LNR, and LODDS. Number of negative lymph nodes should be considered for incorporation into staging for breast cancer.

Recursive partitioning analysis of lymph node ratio in breast cancer patients

Lymph node ratio (LNR) is a powerful prognostic factor for breast cancer. We conducted a recursive partitioning analysis (RPA) of the LNR to identify the prognostic risk groups in breast cancer patients. Records of newly diagnosed breast cancer patients between 2002 and 2006 were searched in the Taiwan Cancer Database. The end of follow-up was December 31, 2009. We excluded patients with distant metastases, inflammatory breast cancer, survival <1 month, no mastectomy, or missing lymph node status. Primary outcome was 5-year overall survival (OS). For univariate significant predictors, RPA were used to determine the risk groups. Among the 11,349 eligible patients, we identified 4 prognostic factors (including LNR) for survival, resulting in 8 terminal nodes. The LNR cutoffs were 0.038, 0.259, and 0.738, which divided LNR into 4 categories: very low (LNR ≤ 0.038), low (0.038 < LNR ≤ 0.259), moderate (0.259 < LNR ≤ 0.738), and high (0.738 < LNR). Then, 4 risk groups were determined as follows: Class 1 (very low risk, 8,265 patients), Class 2 (low risk, 1,901 patients), Class 3 (moderate risk, 274 patients), and Class 4 (high risk, 900 patients). The 5-year OS for Class 1, 2, 3, and 4 were 93.2%, 83.1%, 72.3%, and 56.9%, respectively (P< 0.001). The hazard ratio of death was 2.70, 4.52, and 8.59 (95% confidence interval 2.32-3.13, 3.49-5.86, and 7.48-9.88, respectively) times for Class 2, 3, and 4 compared with Class 1 (P < 0.001). In conclusion, we identified the optimal cutoff LNR values based on RPA and determined the related risk groups, which successfully predict 5-year OS in breast cancer patients.

Number of negative lymph nodes can predict survival of breast cancer patients with four or more positive lymph nodes after postmastectomy radiotherapy

Background

This study was conducted to assess the prognostic value of the number of negative lymph nodes (NLNs) in breast cancer patients with four or more positive lymph nodes after postmastectomy radiotherapy (PMRT).

Methods

This retrospective study examined 605 breast cancer patients with four or more positive lymph nodes who underwent mastectomy. A total of 371 patients underwent PMRT. The prognostic value of the NLN count in patients with and without PMRT was analyzed. The log-rank test was used to compare survival curves, and Cox regression analysis was performed to identify prognostic factors.

Results

The median follow-up was 54 months, and the overall 8-year locoregional recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS) were 79.8%, 50.0%, 46.8%, and 57.9%, respectively. The optimal cut-off points for NLN count was 12. Univariate analysis showed that the number of NLNs, lymph node ratio (LNR) and pN stage predicted the LRFS of non-PMRT patients (p < 0.05 for all). Multivariate analysis showed that the number of NLNs was an independent prognostic factor affecting the LRFS, patients with a higher number of NLNs had a better LRFS (hazard ratio = 0.132, 95% confidence interval = 0.032-0.547, p =0.005). LNR and pN stage had no effect on LRFS. PMRT improved the LRFS (p < 0.001), DMFS (p = 0.018), DFS (p = 0.001), and OS (p = 0.008) of patients with 12 or fewer NLNs, but it did not any effect on survival of patients with more than 12 NLNs. PMRT improved the regional lymph node recurrence-free survival (p < 0.001) but not the chest wall recurrence-free survival (p = 0.221) in patients with 12 or fewer NLNs.

Conclusions

The number of NLNs can predict the survival of breast cancer patients with four or more positive lymph nodes after PMRT.

Electronic supplementary material

The online version of this article (doi:10.1186/s13014-014-0284-5) contains supplementary material, which is available to authorized users.

Using the Lymph Node Ratio to Evaluate the Prognosis of Stage II/III Breast Cancer Patients Who Received Neoadjuvant Chemotherapy and Mastectomy

Purpose

This study was conducted to investigate the prognostic value of lymph node ratio (LNR) in stage II/III breast cancer patients who undergo mastectomy after neoadjuvant chemotherapy.

Materials and Methods

Clinical and pathological data describing stage II/III breast cancer patients were included in this retrospective study. The primary outcomes were locoregional recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS).

Results

Among 277 patients, there were 43 ypN0, 64 ypN1, 89 ypN2, and 81 ypN3 cases. Additionally, there were 43, 57, 92 and 85 cases in the LNR 0, 0.01-0.20, 0.21-0.65, and > 0.65 groups, respectively. The median follow-up was 49.5 months. Univariate analysis showed that both ypN stage and LNR were prognostic factors of LRFS, DMFS, DFS, and OS (p < 0.05). Multivariate analysis showed that LNR was an independent prognostic factor of LRFS, DMFS, DFS, and OS (p < 0.05), while ypN stage had no effect on prognosis (p > 0.05).

Conclusion

The integrated use of LNR and ypN may be suitable for evaluation the prognosis of stage II/III breast cancer patients who undergo mastectomy after neoadjuvant chemotherapy.