When to perform lymph node dissection in patients with renal cell carcinoma: a novel approach to the preoperative assessment of risk of lymph node invasion at surgery and of lymph node progression during follow-up

Sub-regional Radiomics Analysis for Predicting Metastasis Risk in Clear Cell Renal Cell Carcinoma: A Multicenter Retrospective Study

RATIONALE AND OBJECTIVES

Clear cell renal cell carcinoma (ccRCC) is the most common malignant neoplasm affecting the kidney, exhibiting a dismal prognosis in metastatic instances. Elucidating the composition of ccRCC holds promise for the discovery of highly sensitive biomarkers. Our objective was to utilize habitat imaging techniques and integrate multimodal data to precisely predict the risk of metastasis, ultimately enabling early intervention and enhancing patient survival rates.

MATERIAL AND METHODS

A retrospective analysis was performed on a cohort of 263 patients with ccRCC from three hospitals between April 2013 and March 2021. Preoperative CT images, ultrasound images, and clinical data were comprehensively analyzed. Patients from two campuses of Qilu Hospital of Shandong University were assigned to the training dataset, while the third hospital served as the independent testing dataset. A robust consensus clustering method was used to classify the primary tumor space into distinct sub-regions (i.e., habitats) using contrast-enhanced CT images. Radiomic features were extracted from these tumor sub-regions and subsequently reduced to identify meaningful features for constructing a predictive model for ccRCC metastasis risk assessment. In addition, the potential value of radiomics in predicting ccRCC metastasis risk was explored by integrating ultrasound image features and clinical data to construct and compare alternative models.

RESULTS

In this study, we performed k-means clustering within the tumor region to generate three distinct tumor subregions. We quantified the Hounsfiled Unit (HU) value, volume fraction, and distribution of high- and low-risk groups in each subregion. Our investigation focused on 252 patients with Habitat1 + Habitat3 to assess the discriminative power of these two subregions. We then developed a risk prediction model for ccRCC metastasis risk classification based on radiomic features extracted from CT and ultrasound images, and clinical data. The Combined model and the CT_Habitat3 model showed AUC values of 0.935 [95%CI: 0.902-0.968] and 0.934 [95%CI: 0.902-0.966], respectively, in the training dataset, while in the independent testing dataset, they achieved AUC values of 0.891 [95%CI: 0.794-0.988] and 0.903 [95%CI: 0.819-0.987], respectively.

CONCLUSION

We have identified a non-invasive imaging predictor and the proposed sub-regional radiomics model can accurately predict the risk of metastasis in ccRCC. This predictive tool has potential for clinical application to refine individualized treatment strategies for patients with ccRCC.

Renal cell carcinoma

The landscape of the management of renal cell carcinoma has evolved substantially in the last decade, leading to improved survival in localised and advanced disease. We review the epidemiology, pathology, and diagnosis of renal cell carcinoma and discuss the evidence for current management strategies from localised to metastatic disease. Developments in adjuvant therapies are discussed, including use of pembrolizumab-the first therapy to achieve overall survival benefit in the adjuvant setting. The treatment of advanced disease, including landmark trials that have established immune checkpoint inhibition as a standard of care, are also reviewed. We also discuss the current controversies that exist surrounding the management of metastatic renal cell carcinoma, including the use of risk assessment models for disease stratification and treatment selection for frontline therapy. Management of non-clear cell renal cell carcinoma subtypes is also reviewed. Future directions of research, including a discussion of ongoing clinical trials and the need for reliable biomarkers to guide treatment in kidney cancer, are also highlighted.

Multimodal data integration using machine learning to predict the risk of clear cell renal cancer metastasis: a retrospective multicentre study

PURPOSE

To develop and validate a predictive combined model for metastasis in patients with clear cell renal cell carcinoma (ccRCC) by integrating multimodal data.

MATERIALS AND METHODS

In this retrospective study, the clinical and imaging data (CT and ultrasound) of patients with ccRCC confirmed by pathology from three tertiary hospitals in different regions were collected from January 2013 to January 2023. We developed three models, including a clinical model, a radiomics model, and a combined model. The performance of the model was determined based on its discriminative power and clinical utility. The evaluation indicators included area under the receiver operating characteristic curve (AUC) value, accuracy, sensitivity, specificity, negative predictive value, positive predictive value and decision curve analysis (DCA) curve.

RESULTS

A total of 251 patients were evaluated. Patients (n = 166) from Shandong University Qilu Hospital (Jinan) were divided into the training cohort, of which 50 patients developed metastases; patients (n = 37) from Shandong University Qilu Hospital (Qingdao) were used as internal testing, of which 15 patients developed metastases; patients (n = 48) from Changzhou Second People's Hospital were used as external testing, of which 13 patients developed metastases. In the training set, the combined model showed the highest performance (AUC, 0.924) in predicting lymph node metastasis (LNM), while the clinical and radiomics models both had AUCs of 0.845 and 0.870, respectively. In the internal testing, the combined model had the highest performance (AUC, 0.877) for predicting LNM, while the AUCs of the clinical and radiomics models were 0.726 and 0.836, respectively. In the external testing, the combined model had the highest performance (AUC, 0.849) for predicting LNM, while the AUCs of the clinical and radiomics models were 0.708 and 0.804, respectively. The DCA curve showed that the combined model had a significant prediction probability in predicting the risk of LNM in ccRCC patients compared with the clinical model or the radiomics model.

CONCLUSION

The combined model was superior to the clinical and radiomics models in predicting LNM in ccRCC patients.

Development and validation of prognostic nomograms for adult with papillary renal cell carcinoma: A retrospective study

OBJECTIVE

The aim of the study was to create two consensus nomograms for predicting Overall Survival (OS) and Cancer-Specific Survival (CSS) in adults with papillary Renal Cell Carcinoma (pRCC).

METHODS

Using the Surveillance, Epidemiology, and End Results databases, a retrospective analysis of 1,074 adults with pRCC from 2004 to 2015 was performed. These patients were then randomly divided into two independent cohorts with a ratio of 7:3 (training cohort: 752; validation cohort: 322). In a retrospective analysis of 752 patients from the training cohort, independent prognostic variables affecting OS and CSS were found. R software was used to create prognostic nomograms based on the findings of Cox regression analysis. The performance of the nomograms was assessed using the Concordance Index (C-index), the Area Under Curve (AUC), a calibration curve, and Decision Curve Analysis (DCA). Data from the 107 postoperative pRCC patients at the Affiliated Hospital of Xuzhou Medical University were used for external validation of the nomogram.

RESULTS

For OS and CSS, the C-indices and AUCs of the training cohort and the validation cohort indicated that the model had excellent discrimination. The DCA demonstrated that the model was clinically applicable, and the calibration curves in the internal and external validations showed that the model's accuracy was high.

CONCLUSION

The authors developed and validated a prognostic nomogram that accurately predicted the 3-, 5-, and 8-year OS and CSS of adults with pRCC. Clinicians can use this knowledge to direct the clinical management and counseling of patients with pRCC.

The Current Role of Lymph Node Dissection in Nonmetastatic Localized Renal Cell Carcinoma

PURPOSE

To explore the current role of lymph node dissection (LND) in the management of nonmetastatic localized renal cell carcinoma (RCC).

BACKGROUND

There is currently no proven benefit of LND in the setting of RCC, and its role remains controversial because of conflicting evidence. Patients who may benefit from LND are those at greatest risk of nodal disease, but the tools used to predict nodal involvement are limited due to unpredictable retroperitoneal lymphatics. The indications, templates, and extent of LND are also not standardized, adding to the ambiguity of current guidelines surrounding its use.

EVIDENCE ACQUISITION

A PubMed search of the literature from January 2017 to December 2022 was conducted using the search terms "renal cell carcinoma" or "renal cancer" in combination with "lymph node dissection" or "lymphadenectomy". Case studies and editorials were excluded, whereas studies investigating the therapeutic effect of LND were classified as either demonstrating a benefit or no benefit. References of the studies and review articles were also searched for notable studies and findings that were outside the five-year literature search. The studies in this review were restricted to the English language.

RESULTS

Only a number of studies in recent years have found an association between the extent of LND and increased survival. Most studies do not indicate an associated benefit, and some even suggest a negative effect on survival. Most of these studies are retrospective.

CONCLUSION

The therapeutic value of LND in RCC is still unclear, and although prospective data are needed, its declining rates and emerging new therapies make this unlikely. A better understanding of renal lymphatics and improved detection of nodal disease may help determine the role of LND in nonmetastatic localized RCC.

A Novel Predictive Model of Pathological Lymph Node Metastasis Constructed with Preoperative Independent Predictors in Patients with Renal Cell Carcinoma

Introduction: Renal cell carcinoma (RCC) is one of the most common urinary tumors. The risk of metastasis for patients with RCC is about 1/3, among which 30−40% have lymph node metastasis, and the existence of lymph node metastasis will greatly reduce the survival rate of patients. However, the necessity of lymph node dissection is still controversial at present. Therefore, a new predictive model is urgently needed to judge the risk of lymph node metastasis and guide clinical decision making before operation. Method: We retrospectively collected the data of 189 patients who underwent retroperitoneal lymph node dissection or enlarged lymph node resection due to suspected lymph node metastasis or enlarged lymph nodes found during an operation in Tongji Hospital from January 2016 to October 2021. Univariate and multivariate logistic regression and least absolute shrinkage and selection operator (lasso) regression analyses were used to identify preoperative predictors of pathological lymph node positivity. A nomogram was established to predict the probability of lymph node metastasis in patients with RCC before surgery according to the above independent predictors, and its efficacy was evaluated with a calibration curve and a DCA analysis. Result: Among the 189 patients, 54 (28.60%) were pN1 patients, and 135 (71.40%) were pN0 patients. Three independent impact factors were, finally, identified, which were the following: age (OR = 0.3769, 95% CI = 0.1864−0.7622, p < 0.01), lymph node size according to pre-operative imaging (10−20 mm: OR = 15.0040, 95% CI = 1.5666−143.7000, p < 0.05; >20 mm: OR = 4.4013, 95% CI = 1.4892−7.3134, p < 0.01) and clinical T stage (cT1−2 vs. cT3−4) (OR = 3.1641, 95% CI = 1.0336−9.6860, p < 0.05). The calibration curve and DCA (Decision Curve Analysis) showed the nomogram of this predictive model had good fitting. Conclusions: Low age, large lymph node size in pre-operative imaging and high clinical T stage can be used as independent predictive factors of pathological lymph node metastasis in patients with RCC. Our predictive nomogram using these factors exhibited excellent discrimination and calibration.

Potential benefit of lymph node dissection during radical nephrectomy for kidney cancer: A review and critical analysis of current literature

Objective

The role of lymph node dissection (LND) is still controversial in patients with renal cell carcinoma undergoing surgery. We aimed to provide a comprehensive review of the literature about the effect of LND on survival, prognosis, surgical outcomes, as well as patient selection and available LND templates.

Methods

Recent literature (from January 2011 to December 2021) was assessed through PubMed and MEDLINE databases. A narrative review of most relevant articles was provided.

Results

The frequencies in which LNDs are being carried out are decreasing due to an increase in minimally invasive and nephron sparing surgery. Moreover, randomized clinical trials and meta-analyses failed to show any survival advantage of LND versus no LND. However, retrospective studies suggest a survival benefit of LND in high-risk patients (bulky tumors, T3-4 stage, and cN1 patients). Moreover, extended LND might provide important staging information, which could be of interest for adjuvant treatment planning.

Conclusion

No level 1 evidence of any survival advantage deriving from LND is currently available in literature. Thus, the role of LND is limited to staging purposes. However, low grade evidence suggests a possible role of LND in high-risk patients. Randomized clinical trials are warranted to corroborate these findings.

Development and Validation of a Nomogram to Predict Distant Metastasis in Elderly Patients With Renal Cell Carcinoma

Background

Renal cell carcinoma (RCC) is the most common renal malignant tumor in elderly patients. The prognosis of renal cell carcinoma with distant metastasis is poor. We aim to construct a nomogram to predict the risk of distant metastasis in elderly patients with RCC to help doctors and patients with early intervention and improve the survival rate.

Methods

The clinicopathological information of patients was downloaded from SEER to identify all elderly patients with RCC over 65 years old from 2010 to 2018. Univariate and multivariate logistic regression analyzed the training cohort's independent risk factors for distant metastasis. A nomogram was established to predict the distant metastasis of elderly patients with RCC based on these risk factors. We used the consistency index (C-index), calibration curve, and area under the receiver operating curve (AUC) to evaluate the accuracy and discrimination of the prediction model. Decision curve analysis (DCA) was used to assess the clinical application value of the model.

Results

A total of 36,365 elderly patients with RCC were included in the study. They were randomly divided into the training cohort (N = 25,321) and the validation cohort (N = 11,044). In the training cohort, univariate and multivariate logistic regression analysis suggested that race, tumor histological type, histological grade, T stage, N stage, tumor size, surgery, radiotherapy, and chemotherapy were independent risk factors for distant metastasis elderly patients with RCC. A nomogram was constructed to predict the risk of distant metastasis in elderly patients with RCC. The training and validation cohort's C-indexes are 0.949 and 0.954, respectively, indicating that the nomogram has excellent accuracy. AUC of the training and validation cohorts indicated excellent predictive ability. DCA suggested that the nomogram had a better clinical application value than the traditional TN staging.

Conclusion

This study constructed a new nomogram to predict the risk of distant metastasis in elderly patients with RCC. The nomogram has excellent accuracy and reliability, which can help doctors and patients actively monitor and follow up patients to prevent distant metastasis of tumors.

Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma

SIMPLE SUMMARY

Studies have shown that about 30% of kidney cancer patients will have metastasis, and lymph node metastasis (LNM) may be related to a poor prognosis. Our retrospective study aims to provide a reliable machine learning-based model to predict the occurrence of LNM in kidney cancer. We screened the pathological grade, liver metastasis, M staging, primary site, T staging, and tumor size from the training group (n=39016) formed by the SEER database and the validation group (n=771) formed by the medical center. Independent predictors of LNM in cancer patients. Using six different algorithms to build a prediction model, it is found that the prediction performance of the XGB model in the training group and the validation group is significantly better than any other machine learning model. The results show that prediction tools based on machine learning can accurately predict the probability of LNM in patients with kidney cancer and have satisfactory clinical application prospects.

BACKGROUND

Lymph node metastasis (LNM) is associated with the prognosis of patients with kidney cancer. This study aimed to provide reliable machine learning-based (ML-based) models to predict the probability of LNM in kidney cancer.

METHODS

Data on patients diagnosed with kidney cancer were extracted from the Surveillance, Epidemiology and Outcomes (SEER) database from 2010 to 2017, and variables were filtered by least absolute shrinkage and selection operator (LASSO), univariate and multivariate logistic regression analyses. Statistically significant risk factors were used to build predictive models. We used 10-fold cross-validation in the validation of the model. The area under the receiver operating characteristic curve (AUC) was used to assess the performance of the model. Correlation heat maps were used to investigate the correlation of features using permutation analysis to assess the importance of predictors. Probability density functions (PDFs) and clinical utility curves (CUCs) were used to determine clinical utility thresholds.

RESULTS

The training cohort of this study included 39,016 patients, and the validation cohort included 771 patients. In the two cohorts, 2544 (6.5%) and 66 (8.1%) patients had LNM, respectively. Pathological grade, liver metastasis, M stage, primary site, T stage, and tumor size were independent predictive factors of LNM. In both model validation, the XGB model significantly outperformed any of the machine learning models with an AUC value of 0.916.A web calculator (https://share.streamlit.io/liuwencai4/renal_lnm/main/renal_lnm.py) were built based on the XGB model. Based on the PDF and CUC, we suggested 54.6% as a threshold probability for guiding the diagnosis of LNM, which could distinguish about 89% of LNM patients.

CONCLUSIONS

The predictive tool based on machine learning can precisely indicate the probability of LNM in kidney cancer patients and has a satisfying application prospect in clinical practice.

Choice of Surgical Options in Kidney Cancer and Surgical Complications

Surgical resection of renal cell carcinoma plays a large role in the overall management of the disease. The gold standard for surgical management historically has been open or laparoscopic radical nephrectomy, however, evidence of equivalent oncologic efficacy with improved clinical outcomes has driven the use of nephron-sparing surgeries, especially for smaller and localized renal tumors. A role for surgery remains in metastatic RCC as well, but controversy exists as to which patients may benefit most from surgical intervention in addition to other systemic targeted therapies. This article focuses specifically on renal cell carcinoma, transitional cell carcinoma is not described here.

Prognostic Value of Positive Lymph Nodes in Patients with Renal Cell Carcinoma and Tumor Thrombus Undergoing Nephrectomy and Thrombectomy

INTRODUCTIONS

The objective of this study was to determine the prognostic value of positive lymph nodes (LNs) in patients with renal cell carcinoma (RCC) and tumor thrombus (TT) and to explore risk factors predicting LNs metastasis.

METHODS

We retrospectively analyzed 216 patients with RCC and TT treated at a single institution from January 2015 to December 2019. Overall survival (OS) and progression-free survival (PFS) was estimated using the Kaplan-Meier curves divided by pathological LN status. Associations between clinicopathological features and survival outcomes were evaluated using Cox regression models. Logistic regression model was performed to determine risk factors associated with LN metastasis.

RESULTS

We identified 216 patients with RCC and TT including 85 (39.4%) who did and 131 (60.6%) who did not undergo lymph node dissection. Pathologically positive LNs were found in 18 (8.3%) cases. pN1 had significant worse OS (median: 21 vs. 41 and 56 months, p < 0.001) and PFS (median:14 vs. 29 and 33 months, p < 0.001) than pN0 and pNx respectively. However, survival outcomes of OS and PFS were similar between pNx-0/M1 and pN1/M0 group and between 1- and ≥2-node-positive group. Non-CCRCC (p = 0.001), sarcomatoid differentiation (p < 0.001), and pathologically positive LNs (p = 0.025) were independent prognostic predictors predicting worse OS while distance metastasis (p = 0.009), non-CCRCC (p = 0.023), necrosis (p = 0.014), sarcomatoid differentiation (p = 0.003), and pathologically positive LNs (p = 0.007) were independent prognostic indicators predicting worse PFS. Clinically positive LNs (p = 0.014) and sarcomatoid differentiation (p = 0.009) were predictors of positive LNs.

CONCLUSIONS

LNs metastasis independently associated with worse survival outcomes in RCC and TT populations, with similar survival outcomes compared to distance metastasis. Therefore, more accurate risk stratification is warranted for guiding postoperative surveillance and adjuvant therapy.

Lymph node dissection during radical nephrectomy: A Canadian multi-institutional analysis

OBJECTIVES

To determine the association between lymph node dissection (LND) at the time of radical nephrectomy and survival in a large, multi-institutional cohort using a propensity score matching design.

SUBJECTS AND METHODS

The Canadian Kidney Cancer information system was used to identify patients undergoing radical nephrectomy for nonmetastatic renal cell carcinoma. Associations between LND with overall survival , recurrence free survival and cancer specific survival were determined using various propensity score techniques in the overall cohort and in patients with varying probabilities of pN1. Cox models were used to determine association of lymph node removed with outcomes.

RESULTS

Of the 2,699 eligible patients, 812 (30%) underwent LND. Of the LND patients, 88 (10.8%) had nodal metastases. There was no association between LND and improved overall survival, recurrence free survival or cancer specific survival using various propensity score techniques (stratification by propensity score quintile, matched pairs, inverse treatment probability weighting and adjusted for propensity score quintile). There was no association between LND and a therapeutic benefit in patients with increased threshold probabilities of nodal metastases. Increased number of lymph nodes removed was not associated with improved survival outcomes.

CONCLUSIONS

LND at the time of radical nephrectomy for renal cell carcinoma is not associated with improved outcomes. There was no benefit in patients at high risk for nodal metastases, and the number of nodes removed did not correlate with survival. Further studies are needed to determine which high risk patients may benefit from LND.

A Novel Preoperative Nomogram for Predicting Lymph Node Invasion in Renal Cell Carcinoma Patients Without Metastasis

Objective

To provide a preoperative predictive model to support clinical decision-making regarding the selection of in renal cell carcinoma (RCC) patients who will benefit the most from lymph node dissection.

Methods

This retrospective analysis enrolled 374 RCC patients without distant metastasis who underwent surgical treatment from January 2006 to December 2017. The relationships between lymph node invasion (LNI) and age at surgery; gender; body mass index(BMI); the presence of clinical symptoms such as flank pain, hematuria or a palpable mass; clinical T stage (cT stage); clinical N stage (cN stage); and the results of routine hematological and serum biochemical analyses were investigated. All the variables were included in univariate and multivariate logistic regression analyses, and the significant variables were then included in a novel nomogram to predict the probability of LNI. Then, we calibrated the nomogram with an internal validation set.

Results

Six of eighteen variables were significant in the univariate logistic regression analysis. After multivariate logistic regression analysis, age at surgery (OR=0.643, 95% CI: 0.421–0.975), cT stage (OR=3.034, 95% CI: 1.541–5.926), cN stage (OR=6.353, 95% CI: 3.273–12.456), lymphocyte percentage (OR=0.481, 95% CI: 0.256–0.894), and the presence of clinical symptoms (OR=2.045, 95% CI: 1.065–3.924) were independent predictors of LNI and were included in the nomogram. The C-index of this nomogram was 0.824.

Conclusion

Preoperative basic laboratory findings combined with the results of a physical examination and radiological examination can indicate the probability of LNI in RCC patients.

The Role of Lymphadenectomy in Patients with Advanced Renal Cell Carcinoma

The role of lymph node dissection (LND) in the management of renal cell carcinoma (RCC) is controversial. LND serves an indisputable staging role by providing pathologic nodal stage. However, while earlier observational studies had suggested a survival benefit to LND, more recent observational evidence and a randomized trial do not support a survival benefit. The majority of patients with isolated lymph node involvement appear to harbor occult metastatic disease. Still, LND is not associated with increased perioperative morbidity when performed in experienced centers. LND may therefore play a predominantly staging role in patients at increased risk of lymph node metastases.

Survival benefit with extended lymphadenectomy for advanced renal malignancy: A population-based analysis

Objective

We used population-based data to examine the possible benefit of extended lymphadenectomy for patients with renal malignancy in the setting of more advanced disease.

Methods

The Surveillance, Epidemiology, and End Results (SEER) database was utilized to identify non-metastatic, T3-T4 renal cancer patients from 2004–2015 treated with removal of ≥1 lymph node at the time of nephrectomy. Non-parametric bivariate statistics were used to assess associations between covariates of interest and extended lymphadenectomy (≥10 lymph nodes removed). Cancer-specific survival (CSS) and overall survival (OS) benefit was evaluated using Kaplan–Meier analysis.

Results

Of the 4397 patients identified, 816 (18.6%) underwent extended lymphadenectomy. For patients with T3a disease, 5-year CSS and OS benefit with extended lymphadenectomy did not reach statistical significance (CSS: hazard ratio [HR] 0.98, 95% confidence interval [CI] 0.77–1.24; OS: HR 0.96, 95% CI 0.77–1.20). Conversely, for those with T3b-T3c disease, extended lymphadenectomy led to statistically significant improvements in both 5-year CSS and OS compared to non-extended lymphadenectomy (CSS: HR 0.78, 95% CI 0.61–0.99; OS: HR 0.72, 95% CI 0.58–0.90). Finally, for those with T4 disease, use of extended lymphadenectomy had OS benefit after 5 years (OS: HR 0.51, HR 0.29–0.90, p = 0.02).

Conclusion

Based on population-level data, extended lymphadenectomy was associated with improved survival in select patients with advanced renal malignancy treated with surgical nephrectomy. Understanding the basis of these real-world findings in the face of conflicting randomized trial results will be key, moving forward.

Valuation of lymph node dissection in localized high-risk renal cell cancer using X-tile software

PURPOSE

Attempt to group the number of lymph nodes in a more ideal way to assess the value of lymph node dissection (LND) in the treatment of localized high-risk renal cell cancer (LH-RCC).

METHODS

The Surveillance, Epidemiology, and End Result database (SEER) was used to analyze LH-RCC patients who undergoing radical nephrectomy (RN) from 2011 to 2015. The X-tile software was performed to calculate the optimal grouping cut-off points for the number of removed lymph nodes and positive lymph nodes. The Nomogram model was constructed by R language to visually present survival rates of patients.

RESULTS

Among 4917 cases of LH-RCC patients undergoing RN, there were 1835 patients treated with LND (37.32%) with the average survival time (AST) of 43.10 months (95% CI 41.91-44.29), which was superior than 40.52 months of patients who did not have LND (95% CI 39.26-41.78) (P < 0.01). The mortality risk of patients with ≥ 3 removed nodes was 0.75 times that of patients with 1-2 removed nodes (95% CI 0.62-0.99, P < 0.01). For overall survival (OS), the hazard ratio of ≥ 5 positive nodes, 1-4 positive nodes, and 0 positive node was 3.04, 2.37, and 1.00, respectively. The Nomogram model can evaluate the 1 year, 2 year, and 3 year survival rates of LH-RCC patients undergoing RN with the internal validation C-index of 0.73.

CONCLUSION

LH-RCC patients with ≥ 3 removed lymph nodes and fewer positive lymph nodes are expected to have better long-term survival. LND is not only helpful for tumor staging of LH-RCC, but also valuable for long-term survival.

Accuracy of clinical nodal staging and factors associated with receipt of lymph node dissection at the time of surgery for nonmetastatic renal cell carcinoma

INTRODUCTION

The benefit of lymph node dissection (LND) in renal cell carcinoma (RCC) remains poorly defined. Despite this uncertainty, the American Urological Association (AUA) guideline on localized renal cancer recommends that LND be performed for staging purposes when there is suspicion of regional lymphadenopathy on imaging. Using the National Cancer Database (NCDB), we sought to determine how much of a departure the new AUA guideline is from current practice. We hypothesized that practice patterns would reflect the "Expert Opinion" recommendation and that patients who are clinical lymph node (cLN) positive would receive a LND more often than those who are cLN negative. Additionally, we sought to determine factors that would trigger a LND as well the accuracy of clinical staging by examining the relationship between cLN and pathologic lymph node (pLN) status of patients who received a LND.

MATERIALS AND METHODS

The NCDB was queried for patients with nonmetastatic RCC who underwent partial nephrectomy or nephrectomy from 2010 to 2014. Patient sociodemographic and clinical characteristics were extracted. Frequency distributions were calculated for patients with both cLN and pLN status available. Of patients who received a LND, sensitivity, specificity, and positive/negative predictive values (PPV/NPV) of cLN status for pLN positivity were calculated. Logistic regression models were used to examine association between clinical and socioeconomic factors and receipt of LND. Propensity score matching was used in sensitivity analyses to examine potential for reporting bias in NCDB data.

RESULTS

We identified 110,963 patients who underwent surgery for RCC, of whom 11,867 (11%) had LND performed at the time of surgery. cLN and pLN information were available in 11,300 patients, of which 1,725 were preoperatively staged as having positive cLN. More LNDs were performed per year for patients who were cLN negative than cLN positive. Of patients who received a LND, the majority of patients were cLN negative across all clinical T (cT) stages. Multivariable analysis showed that all patients who had care at an academic/research institution (odds ratio [OR]: 1.58, 95% confidence interval [CI]: 1.43-1.74) and had to travel >12.5 to 31.0 miles and >31.0 miles to a treatment center (OR: 1.08, 95%CI: 1.01-1.15 and OR: 1.28, 95%CI: 1.20-1.36, respectively) were more likely to get a LND. As cT stage increased from cT2-4, the risk of LND increased (OR range: 4.7-7.90, respectively). Patients who were cLN positive were more likely to receive a LND at the time of surgery (OR: 18.68, 95%CI: 16.62-21.00). Of the patients who received a LND, clinical staging was more specific than sensitive.

CONCLUSION

More patients received a LND who were cLN negative compared to patients who were cLN positive. Patients who were cLN positive were more likely to receive a LND. Treatment center type, distance to treatment center, cT stage, and cLN positivity were factors associated with LND receipt.

Development and external validation of a pathological nodal staging score for patients with clear cell renal cell carcinoma

OBJECTIVES

To develop and externally validate a model that quantifies the likelihood that a pathologically node-negative patient with clear cell renal cell carcinoma (cRCC) has, indeed, no lymph node metastasis (LNM).

PATIENTS AND METHODS

Data from 1389 patients treated with radical nephrectomy (RN) and lymph node dissection (LND) were analyzed. For external validation, we used data from 2270 patients in the Surveillance, Epidemiology and End Results (SEER) database. We estimated the sensitivity of pathologic nodal staging using a beta-binomial model and developed a pathological nodal staging score (pNSS), which represents the probability that a patient is correctly staged as node negative as a function of the number of examined lymph nodes (LNs).

RESULTS

The mean and median number of LNs removed were 7.0 and 5.0 (standard deviation, SD 6.6; interquartile range, IQR 7.0) in the development cohort and 5.6 and 2.0 (SD 8.6, IQR 5.0) in the validation cohort, respectively. The probability of missing a positive LN decreased with increasing number of LNs examined. In both the validation and the development cohort, the number of LNs needed for correctly staging a patient as node negative increased with higher pathological tumor stage and Fuhrman grade.

CONCLUSIONS

The number of examined LNs needed for adequate nodal staging in cRCC depends on pathological tumor stage and Fuhrman grade. We developed here and then externally validated a pNSS, which could help to refine patient counseling, decision-making regarding risk-stratified surveillance regimens and inclusion criteria for clinical trials of adjuvant therapy.

Trends and outcomes of lymphadenectomy for nonmetastatic renal cell carcinoma: A propensity score-weighted analysis of the National Cancer Database

PURPOSE

Lymph node (LN) involvement in renal cell carcinoma (RCC) is associated with a poor prognosis. While lymph node dissection (LND) may provide diagnostic information, its therapeutic benefit remains controversial. Thus, the aim of our study is to analyze survival outcomes after LND for nonmetastatic RCC and to characterize contemporary practice patterns.

MATERIALS AND METHODS

The National Cancer Database was queried for patients with nonmetastatic RCC who underwent either partial or radical nephrectomy from 2010 to 2014. A total of 11,867 underwent surgery and LND. Chi-square tests were used to examine differences in patient demographics. To minimize selection bias, propensity score matching (PSM) was used to select one control for each LND case (n = 19,500). Cox regression analyses were conducted to examine overall survival (OS) in patients who received LND compared to those who did not.

RESULTS

Of all patients undergoing LND for RCC (n = 11,867), 5%, 23%, 31%, 47% were performed for tumors of clinical T stage 1, 2, 3, and 4, respectively. Proportions of LND have not significantly changed from 2010 to 2014. No significant improvement in median OS for patients undergoing LND compared to no LND was shown (34.7 vs. 34.9 months, respectively; P = 0.98). Similarly, no significant improvement in median OS was found for clinically LN positive patients undergoing LND compared to no LND (P = 0.90). On Cox regression analysis, LND dissection was not associated with an OS benefit (hazard ratio: 1.00; 95% confidence interval 0.97 to 1.04).

CONCLUSIONS

Among all RCC patients, LNDs are often performed for low stage disease, suggesting a potential overutilization of LND. No OS benefit was seen in any subgroup of patients undergoing LND. Further investigation is needed to determine which patient populations may benefit most from LND.

The contemporary role of lymph node dissection in the management of renal cell carcinoma

The appropriate role of lymph node dissection (LND) in the management of patients with renal cell carcinoma (RCC) is still a matter of debate. There is ample evidence that LND is the most accurate modality for staging the regional lymph nodes (LNs), which may harbor metastatic disease in greater than one-third of patients with high-risk RCC. The presence of LN metastases is an independent negative prognostic factor in this disease and accurate determination of LN status not only helps with patient counselling regarding prognosis and tailoring of postoperative surveillance schedules, but it also identifies patients at high risk of systemic disease recurrence who may qualify for clinical trials of adjuvant systemic therapies. Meanwhile, the therapeutic value of LND has been brought into question by a randomized trial (European Organisation for Research and Treatment of Cancer; EORTC 30881) that showed no difference in progression-free or overall survival between patients who were treated with radical nephrectomy (RN) and LND and those treated with RN alone. Given that most patients enrolled in this trial had small renal masses and therefore were at low risk for LN metastases, the question of whether patients with high-risk tumors derive a therapeutic benefit from a standardized, extended LND remains unanswered.

Predictive and prognostic effect of inflammatory lymphadenopathies in renal cell carcinoma

PURPOSE

A significant proportion of patients affected by renal cell carcinoma (RCC) shows a suspicious lymph node involvement (LNI) at preoperative imaging. We sought to evaluate the effect of lymphadenopathies (cN1) on survival in surgical RCC patients with no evidence of LNI at final pathology (pN0).

METHODS

719 patients underwent either radical or partial nephrectomy and lymph node dissection at a single tertiary care referral centre between 1987 and 2015. All patients had pathologically no LNI (pN0). Outcomes of the study were cancer-specific mortality (CSM) and other-cause mortality. Multivariable competing-risks regression models assessed the impact of inflammatory lymphadenopathies (cN1pN0) on mortality rates, after adjustment for clinical and pathological confounders.

RESULTS

114 (16%) and 605 (84%) patients (16%) were cN1pN0 and cN0pN0, respectively. cN1pN0 patients were more frequently diagnosed with larger tumours (8.4 vs. 6.5 cm), higher pathological tumour stage (pT3-4 in 71 vs. 36%), higher Fuhrman grade (G3-G4 in 64 vs. 31%), more frequently with necrosis (75 vs. 44%), and distant metastases (33 vs. 10%) (all p < 0.0001). At univariable analysis, inflammatory lymphadenopathies resulted associated with worse CSM (HR 2.45; p < 0.0001). However, at multivariable analysis, inflammatory lymphadenopathies were not an independent predictor of CSM (HR 0.81; p = 0.4). The presence of metastases at diagnosis was the most important factor affecting CSM (HR 6.54; p < 0.0001). This study is limited by its retrospective nature.

CONCLUSIONS

In RCC patients, inflammatory lymphadenopathies (cN1pN0) are associated with unfavourable clinical and pathological characteristics. However, the presence of inflammatory lymphadenopathies does not affect RCC-specific mortality.

The role of lymph node dissection in the management of renal cell carcinoma: a systematic review and meta-analysis

Our objective was to evaluate the role of retroperitoneal lymph node dissection (LND) in non-metastatic (M0) and metastatic (M1) renal cell carcinoma (RCC). We searched Medline, EMBASE, Web of Science and Scopus from database inception to 29 August 2017 for studies of patients who underwent partial or radical nephrectomy for M0 or M1 RCC. Two investigators independently selected studies for inclusion. Risk of bias was assessed using the Newcastle-Ottawa scale, Cochrane Collaboration tool and National Heart, Lung and Blood Institute Quality Assessment Tool. Random effects meta-analysis was performed for all-cause-mortality. The GRADE approach was used to characterize quality of evidence. A total of 51 unique studies were included in the qualitative systematic review. Risk of bias was low in 41/51 (80%) studies. LND was not associated with all-cause mortality in either M0 (hazard ratio [HR] 1.02, 95% confidence interval [CI] 0.92-1.12; I² = 0%; four studies), M1 (HR 1.04, 95% CI 0.83-1.29; I² = 0%; two studies), or pooled M0 and M1 settings (HR 1.00, 95% CI 0.92-1.09; I² = 0%; seven studies), with no statistically significant differences according to M stage subgroups (P = 0.50). In the three studies that examined M0 subgroups with a high risk of nodal metastasis, LND was not associated with improved oncological outcomes. Studies on the association of extent of LND with survival reported inconsistent results. Meanwhile, a small proportion of patients with pN1M0 disease demonstrate durable long-term oncological control after surgery, with 10-year cancer-specific survival of 21-31%. Nodal involvement is independently associated with adverse prognosis in both M0 and M1 settings. GRADE quality of evidence was moderate or low for the outcomes examined. Although LND yields independent prognostic information, the existing literature does not support a therapeutic benefit to LND in either M0 or M1 RCC. High-risk M0 patient groups warrant further study, as a subset of patients with isolated nodal metastases experience long-term survival after surgical resection.

Lymph node dissection should not be dismissed in case of localized renal cell carcinoma in the presence of larger diseases

OBJECTIVE

To assess whether even in the group of localized renal cell carcinoma (RCC), some patients might harbor a disease with a predilection for lymph node invasion (LNI) and/or lymph node (LN) progression and might deserve lymph node dissection (LND) at the time of surgery.

MATERIALS AND METHODS

Between 1990 and 2014, 2,010 patients with clinically defined T1-T2N0M0 RCC were treated with nephrectomy and standardized LND at a single tertiary care referral center. The endpoint consists of the presence of LNI and/or nodal progression, defined as the onset of a new clinically detected lymphadenopathy (>10mm) in the retroperitoneal lymphatic area with associated systemic progression or histological confirmation or both. We tested the association between clinical characteristics and the endpoint of interest. Predictors consisted of age at surgery, clinical tumor size, preoperative hemoglobin, and platelets levels. Multivariable logistic regression model and smoothed Lowess method were used.

RESULTS

LNI was recorded in 14 cases (2.2%). The median follow-up after surgery was 68 months. During the study period, 23 patients (1.1%) experienced LN progression; 91% of those patients experienced LN progression within 3 years after surgery. Combining the 2 endpoints, 36 patients (1.8%) had LNI and/or LN progression. Clinical tumor size was the only independent predictors of LNI and/or LN progression (OR = 1.25). A significant increase of the risk of LNI and/or LN progression was observed in RCC larger than 7cm (cT2a or higher).

CONCLUSIONS

LNI and/or LN progression is a rare entity in patients with localized RCC. Nonetheless, patients with larger tumors might still benefit from LND because of a non-negligible risk of LNI and/or LN progression.

Retroperitoneal Lymphadenectomy for High Risk, Nonmetastatic Renal Cell Carcinoma: An Analysis of the ASSURE (ECOG-ACRIN 2805) Adjuvant Trial

PURPOSE

Lymphadenectomy is a well established practice for many urological malignancies but its role in renal cell carcinoma is less clear. Our primary objective was to determine whether lymphadenectomy impacted survival in patients with fully resected, high risk renal cell carcinoma.

MATERIALS AND METHODS

Patients with fully resected, high risk, nonmetastatic renal cell carcinoma were randomized to adjuvant sorafenib, sunitinib or placebo in the ASSURE (Adjuvant Sorafenib and Sunitinib for Unfavorable Renal Carcinoma) trial. Lymphadenectomy was performed for cN+ disease or at surgeon discretion. Patients treated with lymphadenectomy were compared to patients in the trial who did not undergo lymphadenectomy. The primary outcome was overall survival associated with lymphadenectomy. Secondary outcomes were disease free survival, factors associated with performing lymphadenectomy and surgical complications.

RESULTS

Of the 1,943 patients in ASSURE 701 (36.1%) underwent lymphadenectomy, including all resectable patients with cN+ and 30.1% of those with cN0 disease. A median of 3 lymph nodes (IQR 1-8) were removed and the rate of pN+ disease in the lymphadenectomy group was 23.4%. There was no overall survival benefit for lymphadenectomy relative to no lymphadenectomy (HR 1.14, 95% CI 0.93-1.39, p = 0.20). In patients with pN+ disease who underwent lymphadenectomy no improvement in overall or disease-free survival was observed for adjuvant therapy relative to placebo. Lymphadenectomy did not confer an increased risk of surgical complications (14.2% vs 13.4%, p = 0.63).

CONCLUSIONS

The benefit of lymphadenectomy in patients undergoing surgery for high risk renal cell carcinoma remains uncertain. Future strategies to answer this question should include a prospective trial in which patients with high risk renal cell carcinoma are randomized to specific lymphadenectomy templates.

Surgical Management of Advanced and Metastatic Renal Cell Carcinoma: A Multidisciplinary Approach

The past decade has seen a rapid proliferation in the number and types of systemic therapies available for renal cell carcinoma. However, surgery remains an integral component of the therapeutic armamentarium for advanced and metastatic kidney cancer. Cytoreductive surgery followed by adjuvant cytokine-based immunotherapy (predominantly high-dose interleukin 2) has largely given way to systemic-targeted therapies. Metastasectomy also has a role in carefully selected patients. Additionally, neoadjuvant systemic therapy may increase the feasibility of resecting the primary tumor, which may be beneficial for patients with locally advanced or metastatic disease. Several prospective trials examining the role of adjuvant therapy are underway. Lastly, the first immune checkpoint inhibitor was approved for metastatic renal cell carcinoma (mRCC) in 2015, providing a new treatment mechanism and new opportunities for combining systemic therapy with surgery. This review discusses current and historical literature regarding the surgical management of patients with advanced and mRCC and explores approaches for optimizing patient selection.

Renal Cell Carcinoma with Isolated Lymph Node Involvement: Long-term Natural History and Predictors of Oncologic Outcomes Following Surgical Resection

BACKGROUND

Renal cell carcinoma (RCC) with isolated lymph node (LN) involvement has historically been associated with poor prognosis. However, a subset of patients may experience long-term survival.

OBJECTIVE

To examine the natural history of RCC with isolated LN involvement following surgical resection with long-term follow-up, and to evaluate clinicopathologic features associated with disease progression and survival.

DESIGN, SETTING, AND PARTICIPANTS

A total of 138 patients with isolated pN1M0 RCC underwent partial or radical nephrectomy and LN dissection from 1980 to 2010.

INTERVENTION

Partial or radical nephrectomy with LN dissection.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Metastasis-free survival (MFS), cancer-specific survival (CSS), and overall survival (OS) were estimated using the Kaplan-Meier method. Associations between clinicopathologic features and oncologic outcomes were evaluated using Cox regression models.

RESULTS AND LIMITATIONS

Median follow-up among survivors was 8.5 yr. The 5-yr and 10-yr MFS, CSS, and OS rates were 16% and 15%, 26% and 21%, and 25% and 15%, respectively. The median time to development of metastases was only 4.2 mo. On multivariable analysis, symptoms at presentation (hazard ratio [HR] 2.40; p=0.03), inferior vena cava tumor thrombus (HR 1.99; p=0.003), clear cell (HR 2.21; p=0.01) and collecting duct/not otherwise specified (HR 4.28; p<0.001) histologic subtypes, pT4 stage (HR 2.64; p=0.005), and coagulative tumor necrosis (HR 2.51; p<0.001) were independently associated with development of metastases. MFS rates at 1 yr after surgery were 71%, 63%, 33%, and 7% for patients with one, two, three, and four to five adverse features, respectively. Limitations include surgical selection bias.

CONCLUSIONS

Although isolated pN1 disease portends a poor prognosis, a small subset of patients experience durable long-term survival after surgical resection of isolated lymphatic metastases. Adverse prognostic features may enhance patient risk stratification and facilitate multimodal management approaches.

PATIENT SUMMARY

Although isolated lymph node metastases portend a poor prognosis, a small subset of patients experience long-term survival following surgical resection.

Radiographic size of retroperitoneal lymph nodes predicts pathological nodal involvement for patients with renal cell carcinoma: development of a risk prediction model

OBJECTIVES

To evaluate the ability of clinical and radiographic features to predict lymph node (pN1) disease among patients with renal cell carcinoma undergoing radical nephrectomy (RN), and to develop a preoperative risk prediction model.

PATIENTS AND METHODS

In all, 220 patients with preoperative computed tomography scans available for review underwent RN with lymph node dissection (LND) from 2000 to 2010. Radiographic features were assessed by one genitourinary radiologist blinded to pN status. Associations of features with pN1 disease were evaluated using logistic regression to develop predictive models. Model performance was assessed using area under the receiver operating characteristic curve (AUC) and decision curve analysis.

RESULTS

The median (interquartile range) lymph node yield was 10 (5-18). In all, 55 patients (25%) had pN1 disease at RN. On univariable analysis, the maximum lymph node (LN) short axis diameter [odds ratio (OR) 1.17; P < 0.001] predicted pN1 disease with an AUC of 0.84. Although several clinical and radiographic features were associated with pN1 disease, only two were retained in the multivariable model: maximum LN short axis diameter (OR 1.19; P <0.001) and radiographic perinephric/sinus fat invasion (OR 44.64; P = 0.01), with an AUC of 0.85. On decision curve analysis, the single variable and multivariable models showed similar net benefit.

CONCLUSION

Two radiographic features, maximum LN short axis diameter and perinephric/sinus fat invasion, outperformed traditional clinical variables in predicting pN1 disease. Maximum LN short axis diameter alone showed excellent predictive performance, and, if validated externally, would provide for a simple model to guide patient selection for LND.

Diagnostic and Prognostic Significance of Radiologic Node-positive Renal Cell Carcinoma in the Absence of Distant Metastases: A Retrospective Analysis of Patients Undergoing Nephrectomy and Lymph Node Dissection

The aim of this study was to evaluate the diagnostic and prognostic value of clinical-positive nodes at preoperative imaging (cN1) in patients with non-metastatic renal cell carcinoma (RCC) treated with lymph node dissection (LND). We retrospectively reviewed data for a cohort of 440 consecutive patients (cN0, 76.8%; cN1, 23.2%) with cTanyNanyM0 RCC who underwent nephrectomy and LND from 1994 to 2013. Metastasis-free survival (MFS) and cancer-specific survival (CSS) were estimated using the Kaplan-Meier method. Multivariate Cox regression analysis was performed to determine significant predictors of MFS and CSS. The mean number of lymph nodes (LNs) examined for all patients was 8.3, and pN1 disease was identified in 31 (7.0%). LN staging by preoperative imaging had a sensitivity of 65%, a specificity of 80%, and an accuracy of 77%. During a median follow-up of 69 months, 5-yr MFS and CSS were 83.6% and 91.3% in patients with cN0 and 49.2% and 70.1% in patients with cN1, demonstrating a trend toward worse prognosis with radiologic lymphadenopathy (all P < 0.001). Furthermore, differences in MFS and CSS between the cN0pN0 and cN1pN0 groups were significant (all P < 0.001). Clinical nodal involvement is an important determinant of adverse prognosis in patients with non-metastatic RCC who undergo LND.

Management of inferior vena cava tumor thrombus in locally advanced renal cell carcinoma

The diagnosis of renal cell carcinoma is accompanied by intravascular tumor thrombus in up to 10% of cases, of which nearly one-third of patients also have concurrent metastatic disease. Surgical resection in the form of radical nephrectomy and caval thrombectomy represents the only option to obtain local control of the disease and is associated with durable oncologic control in approximately half of these patients. The objective of this clinical review is to outline the preoperative evaluation for, and operative management of patients with locally advanced renal cell carcinoma with venous tumor thrombi involving the inferior vena cava. Cornerstones of the management of these complex patients include obtaining high-quality imaging to characterize the renal mass and tumor thrombus preoperatively, with further intraoperative real-time evaluation using transesophageal echocardiography, careful surgical planning, and a multidisciplinary approach. Operative management of patients with high-level caval thrombi should be undertaken in high-volume centers by surgical teams with capacity for bypass and invasive intraoperative monitoring. In patients with metastatic disease at presentation, cytoreductive nephrectomy and tumor thrombectomy may be safely performed with simultaneous metastasectomy if possible. In the absence of level one evidence, neoadjuvant targeted therapy should continue to be viewed as experimental and should be employed under the auspices of a clinical trial. However, in patients with significant risk factors for postoperative complications and mortality, and especially in those with metastatic disease, consultation with medical oncology and frontline targeted therapy may be considered.

Preoperative predictors of pathological lymph node metastasis in patients with renal cell carcinoma undergoing retroperitoneal lymph node dissection

PURPOSE

Patients with locally advanced renal cell carcinoma represent a subset that may benefit from retroperitoneal lymph node dissection. We identified preoperative clinical predictors of positive lymph nodes in patients with renal cell carcinoma without distant metastasis who underwent retroperitoneal lymph node dissection.

MATERIALS AND METHODS

We retrospectively analyzed data on a consecutive cohort of 1,270 patients with cTany Nany M0 renal cell carcinoma who were treated at a single institution from 1993 to 2012. Multivariate analysis was performed to determine preoperative predictors of pathologically positive lymph nodes in patients who underwent retroperitoneal lymph node dissection. A nomogram was developed to predict the probability of lymph node metastasis. Overall, cancer specific and recurrence-free survival was estimated using the Kaplan-Meier Method.

RESULTS

We identified 1,270 patients with renal cell carcinoma without distant metastasis who had (564) or did not have (706) retroperitoneal lymph node dissection performed. Of the 564 patients 131 (23%) and 433 (77%) had pN1 and pN0 disease, and 60 (37%) and 29 (7.2%) had cN1pN0 and cN0pN1 disease, respectively. ECOG PS, cN stage, local symptoms and lactate dehydrogenase were associated with nodal metastasis on multivariable analysis. A nomogram was developed with a C-index of 0.89 that demonstrated excellent calibration. Differences in overall, cancer specific and recurrence-free survival among pNx, pN0 and pN1 cases were statistically significant (p <0.001).

CONCLUSIONS

Local symptoms, ECOG PS, cN stage and lactate dehydrogenase were independent predictors of lymph node metastasis in patients who underwent retroperitoneal lymph node dissection. Our predictive nomogram using these factors showed excellent discrimination and calibration.

The role of lymphadenectomy in the management of renal cell carcinoma

The role of lymphadenectomy in the management of renal cell carcinoma has been established in staging but is less well defined as a therapeutic maneuver. Level one evidence suggests no survival benefit or increased complication rate with lymphadenectomy when performed concurrently with radical nephrectomy. However, several retrospective studies have identified a survival benefit when patients with increased risk of micrometastatic lymph node disease undergo lymphadenectomy. We perform a selective review of the literature and present the historical basis, risk assessment, use and development of nodal templates, and therapeutic benefits associated with the use of lymphadenectomy in the management of renal cell carcinoma.

Contemporary lymphadenectomy templates: kidney, prostate and bladder cancer

PURPOSE OF REVIEW

Lymph node dissection (LDN) at the time of a primary malignant resection varies in therapeutic and staging outcomes between organs of origin. The purpose of our review is to provide new updates and a key summary on the developments in lymphadenectomy templates in kidney, prostate and bladder cancer.

RECENT FINDINGS

There are still evolving definitions for LDN templates, means of pathologic diagnosis of lymph nodes, as well as implications on staging/cancer-free survival after LND though trends are still emerging.

SUMMARY

Routine lymphadenectomy does not appear to yield benefit in kidney cancer but maybe helpful in those with grossly identifiable disease. For high-risk prostate cancer as well as bladder cancer, extended lymphadenectomy with resection of external and internal iliac and obturator nodes as well as some common iliac nodes can yield survival benefit.