Prognostic Value of Baseline Serum C-Reactive Protein Level in Intermediate-Risk Group Patients With Metastatic Renal-Cell Carcinoma Treated by First-Line Vascular Endothelial Growth Factor–Targeted Therapy

Comprehensive Systematic Review of Biomarkers in Metastatic Renal Cell Carcinoma: Predictors, Prognostics, and Therapeutic Monitoring

BACKGROUND

Challenges remain in determining the most effective treatment strategies and identifying patients who would benefit from adjuvant or neoadjuvant therapy in renal cell carcinoma. The objective of this review is to provide a comprehensive overview of biomarkers in metastatic renal cell carcinoma (mRCC) and their utility in prediction of treatment response, prognosis, and therapeutic monitoring in patients receiving systemic therapy for metastatic disease.

METHODS

A systematic literature search was conducted using the PubMed database for relevant studies published between January 2017 and December 2022. The search focused on biomarkers associated with mRCC and their relationship to immune checkpoint inhibitors, targeted therapy, and VEGF inhibitors in the adjuvant, neoadjuvant, and metastatic settings.

RESULTS

The review identified various biomarkers with predictive, prognostic, and therapeutic monitoring potential in mRCC. The review also discussed the challenges associated with anti-angiogenic and immune-checkpoint monotherapy trials and highlighted the need for personalized therapy based on molecular signatures.

CONCLUSION

This comprehensive review provides valuable insights into the landscape of biomarkers in mRCC and their potential applications in prediction of treatment response, prognosis, and therapeutic monitoring. The findings underscore the importance of incorporating biomarker assessment into clinical practice to guide treatment decisions and improve patient outcomes in mRCC.

Association of C-reactive protein with efficacy of avelumab plus axitinib in advanced renal cell carcinoma: long-term follow-up results from JAVELIN Renal 101

Background

C-reactive protein (CRP) is an important prognostic and predictive factor in advanced renal cell carcinoma (aRCC). We report the association of CRP levels at baseline and early after treatment with efficacy of avelumab plus axitinib or sunitinib from the phase III JAVELIN Renal 101 trial.

Patients and methods

Patients were categorized into normal (baseline CRP <10 mg/l), normalized (baseline CRP ≥10 mg/l and ≥1 CRP value decreased to <10 mg/l during 6-week treatment), and non-normalized (CRP ≥10 mg/l at baseline and during 6-week treatment) CRP groups. Progression-free survival and best overall response from the second interim analysis and overall survival (OS) from the third interim analysis were assessed.

Results

In the avelumab plus axitinib and sunitinib arms, respectively, 234, 51, and 108 patients and 232, 36, and 128 patients were categorized into normal, normalized, and non-normalized CRP groups. In respective CRP groups, objective response rates [95% confidence interval (CI)] were 56.0% (49.4% to 62.4%), 66.7% (52.1% to 79.2%), and 45.4% (35.8% to 55.2%) with avelumab plus axitinib and 30.6% (24.7% to 37.0%), 41.7% (25.5% to 59.2%), and 19.5% (13.1% to 27.5%) with sunitinib; complete response rates were 3.8%, 11.8%, and 0.9% and 3.0%, 0%, and 1.6%, respectively. Median progression-free survival (95% CI) was 15.2 months (12.5-21.0 months), not reached (NR) [11.1 months-not estimable (NE)], and 7.0 months (5.6-9.9 months) with avelumab plus axitinib and 11.2 months (8.4-13.9 months), 11.2 months (6.7-13.8 months), and 4.2 months (2.8-5.6 months) with sunitinib; median OS (95% CI) was NR (42.2 months-NE), NR (30.4 months-NE), and 23.0 months (18.4-33.1 months) and NR (39.0 months-NE), 39.8 months (21.7-NE), and 19.1 months (16.3-25.3 months), respectively. Multivariate analyses demonstrated that normalized or non-normalized CRP levels were independent factors for the prediction of objective response rate or OS, respectively, with avelumab plus axitinib.

Conclusions

In patients with aRCC, CRP levels at baseline and early after treatment may predict efficacy with avelumab plus axitinib.

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C-reactive protein is an important prognostic and predictive factor in advanced renal cell carcinoma.

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The association between C-reactive protein levels and the efficacy of avelumab plus axitinib or sunitinib was evaluated.

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C-reactive protein levels at baseline and early after treatment might predict efficacy with avelumab plus axitinib.

C-reactive protein and immune-related adverse events as prognostic biomarkers in immune checkpoint inhibitor treated metastatic renal cell carcinoma patients

BACKGROUND

There is an ongoing need to identify biomarkers for correct patient selection for immune-oncology treatments in metastatic renal cell carcinoma (mRCC). The aim of our study was to evaluate the prognostic role of elevated C-reactive protein (CRP) values and immune-related adverse events (irAEs) to indicate immune checkpoint inhibitors' (ICIs) efficacy in nivolumab-treated mRCC patients.

MATERIALS AND METHODS

Data from 96 mRCC patients treated with nivolumab at Comprehensive Cancer Center, Helsinki University Hospital in a real-life setting were collected between 2006 and 2020 retrospectively. Patients' baseline CRP, on-treatment (<12 weeks) CRP, and reported irAE association to median survival and outcome were analyzed using Kaplan-Meier and Cox regression.

RESULTS

Patients with elevated baseline CRP were associated with worse overall survival (OS) and progression-free survival (PFS) when compared with normal baseline CRP. This significant correlation was also observed with patients with elevated on-treatment CRP. In multivariate survival analyses both elevated baseline and on-treatment CRP had shorter OS and PFS than patients with normal CRP: hazard ratio (HR) 2.84 (95% CI 1.48-5.42), HR 3.68 (95% CI 1.92-7.03) and PFS: HR 1.77 (95% CI 1.06-2.97), HR 2.88 (95% CI 1.75-4.73), respectively. A significant difference in OS was also seen between patients without irAE and with irAE during treatment. In multivariate survival analyses, patients without irAE had shorter OS HR 1.93 (95% CI 1.03-3.62) compared with patients with reported irAE.

CONCLUSIONS

Elevated baseline CRP, on-treatment CRP, and absence of irAE correlate with poor outcome in nivolumb-treated mRCC patients. These results suggest that monitoring CRP values as well as potential irAEs during treatment may be of use in clinical decision making.

On-treatment C-reactive protein control could predict response to subsequent anti-PD-1 treatment in metastatic renal cell carcinoma

OBJECTIVE

The aim of this study was to evaluate the clinical significance of the on-treatment C-reactive protein (CRP) status during systemic treatment as the predictive marker for the response of subsequent nivolumab monotherapy in patients with refractory metastatic renal cell carcinoma (mRCC).

PATIENTS AND METHODS

A total of 73 mRCC patients treated with nivolumab were retrospectively reviewed. We evaluated the serum CRP levels before and after molecular-targeted treatments. Patients whose CRP did not exceed baseline value were defined as the CRP-control group and the others were defined as the CRP-progression group. The clinical impact of CRP-control on the efficacy of nivolumab was assessed.

RESULTS

Twenty-four patients (33%) were categorized into the CRP-control group. The CRP-control group patients (median PFS not reached) had significantly longer PFS than the CRP-progression group (median PFS 11.9 months, 95% confidence interval, CI 4.1-19.8, p = 0.038). The CRP-control group had a tendency of longer OS from nivolumab initiation than the CRP-progression group (p = 0.071). By multivariate analysis, the on-treatment CRP-control was the independent predictive factor for PFS (hazard ratio HR 0.37, 95% CI 0.14-0.99, p = 0.047).

CONCLUSION

The on-treatment CRP-control could be the predictive factor for the efficacy of nivolumab in refractory mRCC patients.

Identification of international metastatic renal cell carcinoma database consortium (IMDC) intermediate-risk subgroups in patients with metastatic clear-cell renal cell carcinoma

Majority of patients with clear-cell renal cell carcinoma (ccRCC) at first line (1L) treatment are classified in the intermediate-risk (IR) subgroup according to International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) score. As these patients have different prognosis, the aim of this study is to better characterize IR patients in order to better tailor the treatment. Retrospective analysis was performed from IGReCC (Institut Gustave Roussy Renal Cell Carcinoma) database. Overall survival (OS) was defined from start of 1L therapy to death or last follow-up. A multivariable Cox model with backward selection procedure (α = 0.01) and a Classification and Regression Tree (CART) analysis were performed to identify which prognostic factors were associated to OS in IR patients.

From 2005 to 2017, 777 patients with ccRCC were treated with an anti-VEGF 1L therapy. Among 571 evaluable patients for IMDC score, 290 (51%) were classified as IR. With median follow-up 5.8 years (min: 0, max: 12.4) 212 deaths (73%) were observed and median OS was 25 months. Only platelet count was significantly associated to OS (hazard ratio 1.88 [95% CI 1.27–2.88] p = 0.0017). Median OS for patients with PLT > UNL was 18 months [95% CI 12–23] versus 29 months [95% CI 21.4–35.7] for patients with normal PLT count. The selection of PLT count was confirmed on bootstrap samples and was also selected for the first split of the CART-tree analysis.

Patients in the IR group have a heterogeneous prognosis. Elevated PLT count seems identifies a subgroup of patients with poor outcome in the IMDC intermediate-risk population with ccRCC.

Comparison of nivolumab plus ipilimumab with tyrosine kinase inhibitors as first-line therapies for metastatic renal-cell carcinoma: a multicenter retrospective study

BACKGROUND

This study compared real-world outcomes of metastatic renal-cell carcinoma (mRCC) patients treated with tyrosine kinase inhibitors or nivolumab plus ipilimumab.

METHODS

Using the International mRCC Database Consortium (IMDC), we retrospectively evaluated intermediate- and poor-risk mRCC patients who were treated with nivolumab plus ipilimumab (Nivo-Ipi), tyrosine kinase inhibitors (TKIs) as the first-line therapy between August 2015 and January 2020. We compared oncological outcomes between the Nivo-Ipi group and TKIs group using multivariate logistic regression analysis with the inverse probability of treatment weighting (IPTW) method.

RESULTS

In this study 278 patients were included. There were 52 and 226 patients in the Nivo-Ipi and TKIs groups (sunitinib 97, axitinib 118, sorafenib 9, pazopanib 2), respectively. The median age in the Nivo-Ipi and TKIs groups were 69 and 67 years, respectively. There was no significant difference in age, performance status, history of nephrectomy, and the IMDC risk group distribution between the groups. The objective response rate was significantly higher in the Nivo-Ipi group (38%) than in the TKIs group (23%, P = 0.018). The IPTW-adjusted Cox regression analysis showed that a significantly longer progression-free survival (hazard ratio 0.60, P = 0.039) and overall survival (hazard ratio 0.51, P = 0.037) rates in the Nivo-Ipi group than those in the TKIs group.

CONCLUSIONS

The oncological outcomes of patients receiving the first-line therapy of nivolumab plus ipilimumab in real-world practice were significantly improved in comparison with first-line TKIs therapy.

Impact of the systemic immune-inflammation index for the prediction of prognosis and modification of the risk model in patients with metastatic renal cell carcinoma treated with first-line tyrosine kinase inhibitors

INTRODUCTION

International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) criteria are the most representative risk model for patients with metastatic renal cell carcinoma (mRCC). However, the intermediate-risk group of IMDC criteria is thought to include patients with different prognoses because many of the patients are classified into the intermediate-risk group. In this study, we investigated the impact of systemic immune-inflammation index (SII), which is calculated based on neutrophil count, platelet count, and lymphocyte count, on predicting the prognosis in patients with mRCC, and its usefulness for re-classification of patients with a more sophisticated risk model.

METHODS

From January 2008 to January 2018, 179 mRCC patients with a pretreatment and SII were retrospectively investigated. All patients were classified into either a high-SII group or a low-SII group based on the cutoff value of a SII at 730, as reported in previous studies; the overall survival (OS) rates in each group were compared.

RESULTS

The median age was 65 years old. Males and females comprised 145 and 34 cases, respectively. The categories of favorable-, intermediate-, and poor-risk groups in the IMDC model were assessed in 39, 102, and 38 cases, respectively. The median observation period was 24 months. The low-SII and high-SII groups consisted of 73 and 106 cases, respectively. The 50% OS in the high-SII group was 21.4 months, which was significantly worse than that in the low-SII group (49.7 months; p<0.0001). Multivariate analysis showed that a high SII was an independent predictive factor for a worse OS. Next, we constructed a modified IMDC risk model that included the SII instead of a neutrophil count and a platelet count. By using this modified IMDC model, all cases were re-classified into four groups of 33, 52, 81, and 13 cases with 50% OS of 88.8, 45.9, 29.4, and 4.8 months, respectively.

CONCLUSIONS

The SII is useful for establishing a more sophisticated prognostic model that can stratify mRCC patients into four groups with different prognoses.

C-reactive protein to albumin ratio predicts the outcome in renal cell carcinoma: A meta-analysis

Background

Growing evidence has revealed that pretreatment C-reactive protein to albumin ratio (CAR) are associated with prognosis for patients with renal cell carcinoma (RCC). However, inconsistent findings have been reported, which promote us to summarize the global predicting role of CAR for survival in RCC patients.

Methods

Two reviewers independently retrieved the literature on EMBASE, MEDLINE, and Cochrane Library databases for eligible studies evaluating the associations of CAR with survival. Data related to the overall survival (OS), disease-free survival (DFS), progress-free survival (PFS), and clinicopathological features were extracted and pooled using meta-analysis with fixed or random- effect models when applicable.

Results

Eight studies including 2,829 patients were analyzed in the present study. High pretreatment CAR was associated with worse OS (pooled HR: 2.14, 95% CI = 1.64–2.79, p < 0.001) and DFS/PFS (pooled HR: 1.75, 95% CI: 1.31–2.35, P < 0.001). Moreover, high CAR was correlated with performance status (≥ 1), tumor location (left), Fuhrman grade (3–4), TNM stage (III-IV), T stage (T3-4), N stage (N1), M stage (M1), tumor necrosis (yes), venous thrombus (positive), metastasis at diagnosis (yes), NLR (> median), and PLR (> median).

Conclusion

High pretreatment CAR is effectively predictive of worse survival in patients with RCC and could be a prognostic biomarker for those patients.

Sub-classification of patients with intermediate-risk metastatic renal cell carcinoma treated with targeted therapy

BACKGROUND

International Metastatic Renal Cell Carcinoma Database Consortium model predicts the outcomes of metastatic renal cell carcinoma stratified into favorable, intermediate, and poor risk groups (FG, IG, and PG, respectively), with approximately 50% of patients being classified as IG. We aimed to generate better risk model based on the sub-classification of IG.

METHODS

We analyzed records of 213 consecutive patients receiving molecular targeted therapy. Age, gender, histology, type of initial molecular targeted therapy, serum laboratory data, previous nephrectomy and immunotherapy, and metastatic sites were used for IG sub-stratification. Modified and original models were compared using a concordance correlation coefficient analysis.

RESULTS

Median follow-up was 17.8 months. Serum albumin, serum C-reactive protein, and bone metastases were independent predictors of overall survival (OS) in IG. IG was sub-classified into low-, middle-, and high-risk IG according to the number of predictors. The following modified model was developed: modified FG (FG & low-risk IG), modified IG (middle-risk IG), and modified PG (PG & high-risk IG). Concordance indices for original and modified models were 0.68 and 0.73, respectively (P < 0.001). OS was significantly longer in modified PG treated with mammalian target of rapamycin inhibitors as second-line therapy than with tyrosine kinase inhibitors, whereas this was not observed in the original model.

CONCLUSIONS

We successfully developed modified IMDC model using a two-step process: the original IMDC plus an IG sub-stratification, and demonstrated that it predicts outcomes more accurately than original model.

Prognostic Dynamic Nomogram Integrated with Inflammation-Based Factors for Non-Small Cell Lung Cancer Patients with Chronic Hepatitis B Viral Infection

Chronic inflammation plays an important role in tumor progression. The aim of this study was to develop an effective predictive dynamic nomogram integrated with inflammation-based factors to predict overall survival (OS) of non-small cell lung cancer (NSCLC) patients with chronic hepatitis B viral (HBV) infection. We retrospectively analyzed NSCLC patients with HBV infection from Sun Yat-sen University Cancer Center between 2008 and 2010. Univariate and multivariate Cox survival analyses were performed to identify prognostic factors associated with OS of patients. All of the independent prognostic factors were utilized to build the dynamic nomogram. The predictive accuracy of the dynamic nomogram was evaluated concordance index (C-index), decision curve analysis and were compared with previous reported model and traditional TNM staging system. According to the total points (TPS) by dynamic nomogram, we further stratified patients into different risk groups. A total of 203 patients were included. Multivariate Cox analysis showed TNM stage (P = 0.019), treatment (P < 0.001), C-reactive protein (P = 0.020) and platelet (P = 0.012) were independent prognostic factors of OS. The dynamic nomogram was established by involving all the factors above. The C-index of dynamic nomogram for predicting OS was 0.76 (95%CI: 0.72-0.80), which was statistically higher than that of traditional TNM staging system (0.70, 95%CI: 0.66-0.74, P<0.001). Decision curve analysis demonstrated that the dynamic nomogram was better than the TNM staging system. The predictive accuracy of the current model keeping almost the same accuracy as previous one. Based on the total points (TPS) of dynamic nomogram, we divided the patients into 3 subgroups: low risk (TPS ≤ 107), intermediate risk (107< TPS ≤ 149), and high risk (TPS > 149). The differences of OS rates were significant in the subgroups. We propose a novel dynamic nomogram model based on inflammatory prognostic factors that is highly predictive of OS in NSCLC patients with HBV infection and outperforms the traditional TNM staging system.