Urologic Oncology: Seminars and Original Investigations
Original articleClinical significance of tumor-derived IL-1β and IL-18 in localized renal cell carcinoma: Associations with recurrence and survival☆,
Introduction
Renal cell carcinoma (RCC) accounts for 2% to 3% of all cancers. It can be cured surgically if detected at early stages. Nevertheless, approximately 30% of patients undergoing nephrectomy for localized RCC experience local recurrence or distant metastasis, usually leading to incurable disease [1]. The natural history of RCC is complex, and the outcomes for patients with similar pathologic features can be very diverse [2]. Currently, several prognostic models have been proposed to identify patients who are at a greater risk of disease progression after nephrectomy. Kattan et al. [3] integrated disease-related symptoms, histologic subtype, tumor size, and TNM stage into a nomogram to predict 5-year recurrence-free survival (RFS) . On the basis of data from Mayo Clinic, the stage, size, grade, and necrosis score were developed to predict cancer-specific survival in patients with clear cell RCC (ccRCC) only [4]. The University of California Integrated Staging System (UISS) incorporated TNM stage, Fuhrman grade, and Eastern Cooperative Oncology Group performance status (ECOG-PS) to predict overall survival (OS) in patients with RCC regardless of histologic subtype [5]. The Mayo group further developed a model distinct from the stage, size, grade, and necrosis score to predict RFS in patients with localized ccRCC, which is referred to as the Leibovich prognostic score [6]. The predictive accuracy of these models may be further improved by the incorporation of novel prognostic biomarkers [7].
The inflammasome is a multiprotein complex typically consisting of a NOD-like receptor, the adapter protein ASC, and the cysteine protease caspase-1 [8]. During malignant transformation, inflammasomes are postulated to become activated in response to endogenous danger signals arising from tumors, which include adenosine triphosphate, heat shock proteins, and overexpressed or mutated self-antigens [9], [10]. Inflammasome activation leads to the autocleavage of pro-caspase-1 and its subsequent activation, which in turn promotes the secretion of potent proinflammatory cytokines interleukin 1β (IL-1β) and IL-18, and a form of programmed cell death known as “pyroptosis” [8]. In the complex interplay between malignant cells and their microenvironment, inflammasomes play diverse and sometimes contrasting roles in cancer development and therapy [11]. For instance, inflammasomes may operate at the cell-autonomous level to eliminate malignant precursors through pyroptosis [11]. Conversely, many cancers have been directly linked to inflammasome-mediated sterile inflammation. The inhibition of inflammasomes or neutralization of their products IL-1β and IL-18 has profound effects on tumor initiation and progression [12]. Thus, understanding inflammasome pathways may provide insight into carcinogenesis and identify novel prognostic biomarkers and potential therapeutic targets.
In this study, we analyzed IL-1β and IL-18 levels by immunohistochemistry in ccRCC tumor tissues and their associations with clinicopathologic characteristics and patient outcome. We further assessed the prognostic significance of the combined analysis of IL-1β and IL-18 expression, and its ability to improve the predictive accuracy of well-established prognostic models such as the UISS and Leibovich scores.
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Patients
We retrospectively recruited 267 consecutive patients undergoing partial or radical nephrectomy for localized ccRCC at Zhongshan Hospital (Shanghai, China) between January 2001 and December 2004. This study was approved by the hospital׳s ethics committee, and informed consent was obtained from each patient. For each patient, the following clinicopathologic information was collected: age, sex, tumor size, TNM stage, Fuhrman grade, presence of histologic tumor necrosis, and ECOG-PS. Patients were
Patient characteristics and correlations with IL-1β and IL-18 expression
We analyzed a total of 267 patients with localized ccRCC. As summarized in Table 1, the mean age at surgery was 56.9 years, and 70.0% of patients were men. The mean tumor size was 4.7 cm, and histologic necrosis was presented in 24.4% of cases. The distribution of pathologic T stages T1a, T1b, T2, and T3 was 36.0%, 27.3%, 12.3%, and 24.4%, respectively; there were no patients with T4 disease. Fuhrman grades were 1, 2, 3, and 4 in 18.0%, 45.7%, 25.1%, and 11.2% of cases, respectively. ECOG-PS was
Discussion
In this study, we demonstrated that the combined high expression of IL-1β and IL-18 is an independent predictor for poor prognosis in patients with localized ccRCC. Moreover, when incorporated into already-optimized prognostic models, the IL-1β/IL-18 signature could help increase the predictive accuracy of these models. It is of particular interest that we found that this improvement in prediction mainly took place in patients with LR disease. The integrated prognostic systems are useful for
Conclusions
Our results indicate that the concurrence of high expression of IL-1β and IL-18 in tumor tissues is associated with increased risk of recurrence and shortened survival in patients with localized ccRCC. Moreover, the association is more prominent in patients with LR disease. This finding provides an independent predictor for prognosis and may improve current prognostic models in patient stratification, selecting patients for additional treatment, and customizing postsurgical surveillance.
Acknowledgment
We thank Dr. Lingli Chen (Department of Pathology, Zhongshan Hospital, Fudan University) for technical assistance.
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Funding: This work was supported by grants from the National Key Projects for Infectious Diseases of China (2012ZX10002-012), the National Natural Science Foundation of China (31100629, 31270863, 81372755, 81472227, 81471621, 81402082, 81402085), the Program for New Century Excellent Talents in University (NCET-13-0146), the Shanghai Rising-Star Program (13QA1400300), and Zhongshan Hospital, Fudan University (2014ZSQN46).
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Contributed equally to this work.