Study Compares Personalized Treatment and Surgery for Kidney Cancer

Overview of Kidney Cancer

A recent study utilized computer models to evaluate the effectiveness of personalized treatment versus surgery for kidney cancer in patients at risk of deteriorating kidney function. Kidney cancer ranks as the third most prevalent cancer of the urinary tract and is among the ten most common cancers affecting both men and women. Typically, it impacts individuals over the age of 64, with rare occurrences in those under 45. While the incidence of kidney cancer has been gradually increasing, the mortality rate has been slowly declining.

Most small kidney tumors are often discovered incidentally due to advancements in radiological imaging, leading to a higher rate of detection for tumors that are usually benign, smaller than 4 cm, and have low progression potential. The incidental discovery of kidney cancer is becoming a significant concern for healthcare providers, highlighting the need for improved understanding of treatment and management options.

Incidence of Kidney Cancer

The highest incidence of small, typically asymptomatic kidney tumors occurs in elderly patients with multiple health issues. These small tumors account for approximately 40-60% of renal cell carcinoma cases. The incidence of renal cell carcinoma has been rising across all age demographics, with the most significant increase observed in patients with localized kidney tumors.

Treatment Options for Kidney Cancer Patients

Surgery

Currently, surgery is the standard treatment for kidney cancer, which may involve removing the entire kidney (radical nephrectomy) or the tumor-affected area (partial nephrectomy). Partial nephrectomy, also referred to as nephron-sparing or kidney-sparing surgery, is a common approach. Non-surgical options, such as cryoablation (freezing cancer cells) or radiofrequency ablation (heating cancer cells), are also available for small tumors.

Active Surveillance

For high-risk patients who are not suitable candidates for surgery, active surveillance is an alternative that allows for the postponement or avoidance of interventional treatment. This method is particularly useful for elderly patients or those with other health conditions who have small tumors with low malignant and metastatic potential. During active surveillance, patients undergo regular testing, and interventions are recommended if any signs of disease progression are detected.

Each treatment approach has its own advantages, leading physicians to face challenges in determining whether to adopt an aggressive or conservative treatment strategy, especially since many small tumors are benign and typically grow slowly. In many cases, a biopsy is performed to confirm the benign nature of the tumor.

Assessing Personalized Treatment Options

The study indicates that personalized treatment options should consider various factors, including the risks associated with kidney tumors, the presence of additional health conditions, and the specific treatment needs of individual patients. However, the researchers point out that active surveillance may be underutilized due to a lack of guidelines and decision-support tools for specialists.

Computer-Based Research Insights

Methodology

In research published in Radiology, scientists from New York University employed a computer-based program to analyze kidney cancer treatments for patients with both normal kidney function and chronic kidney disease. They created a simulated population of kidney cancer patients with varying degrees of chronic kidney disease severity, additional health conditions, and tumors of different malignancy and complexity.

Comparative Effectiveness: Partial Nephrectomy vs. Personalized Treatment

Analysis of one million simulations demonstrated that partial nephrectomy provided the longest life expectancy for kidney cancer patients of all ages with normal kidney function. However, personalized treatment strategies like active surveillance offered extended life expectancy for patients with chronic kidney disease compared to standard surgical procedures. Additionally, the research indicated that MRI could be beneficial in predicting papillary renal carcinoma, a slow-growing kidney cancer, thereby aiding physicians in selecting active surveillance to enhance long-term health outcomes.

The model suggests that incorporating tumor subtype information into decision-making could improve the accuracy of biopsies in distinguishing between malignant and benign tumors.

Advantages of Computer Models in Clinical Research

Utilizing computer models in clinical research offers significant advantages, especially when clinical trial data is limited due to patient accessibility, population size, or costs. These models assist researchers in identifying critical areas for further clinical investigation. The computer model used in this study provides insights into the risks and benefits of active surveillance for managing kidney cancer, assisting physicians in determining the most suitable treatment for individual patients.

Conclusion: Implications for Kidney Cancer Treatment

The analysis suggests that personalized treatment, particularly active surveillance, may enhance life expectancy for patients with small renal tumors and chronic kidney disease. For those with normal kidney function, partial nephrectomy remains the preferred treatment. Furthermore, the study highlights MRI’s potential as a valuable non-invasive tool for differentiating patients based on cancer risk, which may further improve life expectancy.

Although the model does not endorse a specific treatment for kidney cancer, it provides estimates that can help patients and healthcare providers make informed decisions about the most appropriate treatment options based on individual circumstances.

Written by Preeti Paul, MS Biochemistry
Reference: Stella K. Kang et al., Personalized Treatment for Small Renal Tumors: Decision Analysis of Competing Causes of Mortality. Radiology 2019;00:1-12 https://doi.org/10.1148/radiol.2018181114