Prognostic factors associated with the response to sunitinib in patients with metastatic renal cell carcinoma

Albumin levels predict prognosis in advanced renal cell carcinoma treated with tyrosine kinase inhibitors: a systematic review and meta-analysis

PURPOSE

With the development of therapy and prognostic criteria for metastatic Renal Cell Carcinoma (mRCC), the prognostic value of serum albumin level has remained in dispute. The aim of this meta-analysis was to evaluate the role of pre-treatment albumin in predicting the prognosis of mRCC patients in the era of tyrosine kinase inhibitor (TKI) treatments.

METHODS

The qualitative and quantitative synthesis was conducted of studies retrieved from PubMed, Embase, and Cochrane library from inception of these databases to July 19, 2020. The hazard ratio (HR) and its 95% confidence interval (CI) of overall survival (OS) and progression-free survival (PFS) were extracted from studies comparing different levels of pre-treatment serum albumin (as a dichotomous or continuous variable) in mRCC patients treated with TKI agents.

RESULTS

Within 5,638 primitive records, 16 were eligible and 14 had adequate data for quantitative analysis (N = 2,863 participants). Random-effects meta-analysis showed that lower albumin was related to poorer OS (dichotomous: HR = 2.01, 95% CI: 1.64-2.46, P < 0.001, I² = 28.8%; continuous: HR =0.93, 95% CI: 0.86-1.00, P = 0.040, I² = 67.5%) and PFS (dichotomous: HR = 1.45, 95% CI: 1.04-2.01, P = 0.029, I² = 57.4%; continuous: HR = 0.89, 95% CI: 0.80-0.98, P = 0.023, I² = 93.3%).

CONCLUSION

Lower pre-treatment serum albumin level is an independent adverse predictor of prognosis of mRCC patients receiving TKI therapy.

REGISTRATION

PROSPERO ID: CRD42020196802 Sep. 2^nd, 2020.

The clinical significance of routine risk categorization in metastatic renal cell carcinoma and its impact on treatment decision-making: a systematic review

Aim: To analyze responses to first-line metastatic renal cell carcinoma (mRCC) treatment stratified by risk criteria. Patients & methods: Clinical trials and observational studies of patients aged ≥18 years, published January 2005-May 2019, were identified via Ovid from MEDLINE, EMBASE, the Cochrane Central Trials Register and the Cochrane Database of Systematic Reviews. Data extracted included progression-free survival (PFS), overall survival (OS) and objective response rate (ORR). Results: 47/1269 articles met eligibility criteria. Most studies stratified patients by International Metastatic RCC Database Consortium (n = 19) or Memorial Sloan Kettering Cancer Center (n = 21). PFS, OS and ORR varied according to risk group. Conclusion: Pembrolizumab + axitinib, ipilimumab + nivolumab and avelumab + axitinib were most effective across all risk groups. Favorable-risk patients benefit from sunitinib treatment.

Novel Predictive Models of Early Death Less Than 1 Year in Patients With Metastatic Renal Cell Carcinoma After Treatment With First-line Tyrosine Kinase Inhibitors

BACKGROUND

We aimed to develop a modified International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) model that can predict early death less than 1 year in patients with metastatic renal cell carcinoma (mRCC) after receiving first-line tyrosine kinase inhibitors (TKIs).

PATIENTS AND METHODS

We retrospectively reviewed records of patients with mRCC treated with first-line TKIs at our institution between 2007 and 2012. The primary endpoint was the rate of early death within 1 year after first-line TKI administration. We determined statistically significant factors predicting early death by performing multiple logistic regression. The modified IMDC model 1 was developed using new variables in addition to the risk criteria of the IMDC model, and model 2 was developed using new variables irrespective of the risk classification of IMDC model.

RESULTS

Early mortality within 1 year of first-line TKI treatment was 19.7% (n = 98) in 462 patients. Although the C-index of the IMDC model for early death was 0.655, the C-index of model 1, which includes 5 variables (previous nephrectomy, body mass index, multiple metastases, previous metastasectomy, and serum albumin level) in addition to the Heng criteria, was 0.823. The C-index of model 2, which includes 7 variables (hemoglobin, neutrophil level, and the 5 variables of model 1) was 0.822. Of note, there was no significant difference in net reclassification index between the 2 models.

CONCLUSION

This is the first study suggesting novel prediction models for early death less than 1 year in patients with mRCC treated with first-line TKI.

Risk factors for bone metastasis from renal cell cancer

Objective

The prognosis for renal cell carcinoma (RCC) is related to a high rate of metastasis, including 30% of bone metastasis. In this study, we investigate the correlation between diverse clinical factors and bone metastases secondary from renal cell cancer (RCC), and to identify potential risk factors for bone metastasis in newly diagnosed patients and those who have already received treatment.

Methods

The clinical data of 372 patients with RCC were reviewed from January 2000 to August 2016. The correlations between age, gender, histopathologic types, alkaline phosphotase (ALP), CEA, AFP, CA-125, CA-153, CA-199, calcium, hemoglobin (HB) and bone metastases were analyzed. And the risk factors for bone metastases in RCC were identified by multivariate logistic regression analysis. The cutoff value, sensitivity and specificity of the independent correlation factors were calculated by receiver operating characteristic (ROC) curve.

Results

The bone is the second to the lung as a distant metastasis target site in patients with RCC. Thirty eight individuals were identified with bone metastases. Of these patients, significantly higher levels of ALP, calcium, HB were found than those without bone metastasis (P < 0.05, respectively). No significant differences were detected in CEA, AFP, CA-125, CA-153, CA-199, age, gender and histopathologic types between patients with and without bone metastases (P > 0.05, respectively). Multivariate logistic regression analysis indicated that ALP, calcium and HB were independent risk factors correlated with bone metastasis (P < 0.05, respectively). ROC curves demonstrated these factors had comparable accuracy at predicting bone metastasis (AUC were 0.749, 0.633 and 0.665, respectively). The cutoff values of ALP, calcium and HB were 105.5 U/L, 2.615 mmol/L and 111.5 g/L, respectively. The sensitivities of them were 57.9%, 36.8% and 71.1% for predicting bone metastasis, with specificities of 83.5%, 95.2% and 65.3%, respectively.

Conclusion

Based on our study, the concentrations of ALP, calcium and HB were potentially risk factors for bone metastasis in patients with RCC. For newly diagnosed patients, if the values of ALP>105.5 U/L, calcium>2.615 mmol/L and HB<111.5 g/L were detected, intensive monitoring and bone scanning are warranted for them.

Early primary renal tumor response predicts clinical outcome in patients with primary unresectable renal cell carcinoma with synchronous distant metastasis receiving molecularly targeted therapies

The aim of the present study was to investigate the prognostic factors for patients with primary unresectable renal cell carcinoma (RCC) with synchronous distant metastasis receiving molecularly targeted therapies. A total of 26 patients with primary unresectable RCC with synchronous distant metastasis underwent molecularly targeted therapies at the Kurume University Hospital (Kurume, Japan) between March 2008 and March 2016. Early primary renal tumor response was evaluated at 8-12 weeks after the introduction of molecularly targeted therapy and a 10% decrease in the diameter of primary renal tumor was used as the cut-off value. The median overall survival from the initiation of first-line molecularly targeted therapy was 18.3 months. Univariate analyses for various factors identified early primary renal tumor response (P=0.0004) and best response to first-line treatment (P=0.0002) as prognostic variables. Multivariate analyses also identified early primary renal tumor response (P=0.0099) and best response to first-line treatment (P=0.0054) as independent prognostic factors. A comparison of clinical characteristics between the group with ≥10% shrinkage and the group with disease progression or <10% shrinkage revealed that the number of metastatic sites and pretreatment monocyte-to-lymphocyte ratio tended to be predictive factors for primary renal tumor response. These results suggest that early primary renal tumor shrinkage is highly variable for patients with primary unresectable RCC with synchronous distant metastasis receiving molecularly targeted therapies.

Association of post-treatment hypoalbuminemia and survival in Chinese patients with metastatic renal cell carcinoma

Background

Hypoalbuminemia adversely affects the clinical outcomes of various cancers. The purpose of this study was to estimate the prognostic value of hypoalbuminemia 3–5 weeks after treatment in patients with metastatic renal cell carcinoma (mRCC) who received sorafenib or sunitinib as first-line treatment.

Methods

In this single-center, retrospective study, we assessed the progression-free survival (PFS) and overall survival (OS) of 184 mRCC patients who received first-line sorafenib or sunitinib treatment. PFS and OS were compared between patients with post-treatment hypoalbuminemia (post-treatment albumin level <36.4 g/L) and those with normal post-treatment albumin level (albumin level ≥36.4 g/L). The Memorial Sloan Kettering Cancer Center (MSKCC) risk model stratified mRCC patients into three risk categories. Prognostic values of all patient characteristics including MSKCC risk category were determined by using univariate and multivariate Cox regression models. Prognostic value was further determined using the Harrell concordance index and receiver operating characteristic curve analysis.

Results

The median PFS and OS of the 184 patients were 11 months (95% confidence interval [CI] 9–12 months) and 23 months (95% CI 19–33 months), respectively. Patients with post-treatment hypoalbuminemia had significantly shorter median PFS (6 months [95% CI 5–7 months]) and OS (11 months [95% CI 9–15 months]) than patients who had normal post-treatment albumin levels (PFS: 12 months [95% CI 11–16 months], P < 0.001; OS: 31 months [95% CI 24–42 months], P < 0.001), respectively. Multivariate analysis showed that post-treatment hypoalbuminemia was an independent predictor of PFS (hazard ratio [HR], 2.113; 95% CI 1.390–3.212; P < 0.001) and OS (HR, 2.388; 95% CI 1.591–3.585; P < 0.001). Post-treatment hypoalbuminemia could also be combined with the MSKCC risk category for better prediction about OS. The model that included post-treatment hypoalbuminemia and MSKCC risk category improved the predictive accuracy for PFS and OS (c-index: 0.68 and 0.73, respectively) compared with the basic MSKCC risk model (c-index: 0.67 and 0.70, respectively). The prognostic values for PFS and OS of the integrated MSKCC risk model involving post-treatment hypoalbuminemia were significantly more accurate than the basic MSKCC risk model using likelihood ratio analysis (both P < 0.001).

Conclusions

Post-treatment hypoalbuminemia can be considered an independent prognostic factor for patients with mRCC who undergo first-line treatment with tyrosine kinase inhibitors. Additionally, integrating post-treatment serum albumin level into the basic MSKCC risk model can improve the accuracy of this model in predicting patient overall survival and progression-free survival.

Incorporating Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio in Place of Neutrophil Count and Platelet Count Improves Prognostic Accuracy of the International Metastatic Renal Cell Carcinoma Database Consortium Model

PURPOSE

The study investigated whether a replacement of neutrophil count and platelet count by neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) within the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) model would improve its prognostic accuracy.

MATERIALS AND METHODS

This retrospective analysis included consecutive patients with metastatic renal cell carcinoma treated with first-line tyrosine kinase inhibitors. The IMDC and modified-IMDC models were compared using: concordance index (CI), bias-corrected concordance index (BCCI), calibration plots, the Grønnesby and Borgan test, Bayesian Information Criterion (BIC), generalized R², Integrated Discrimination Improvement (IDI), and continuous Net Reclassification Index (cNRI) for individual risk factors and the three risk groups.

RESULTS

Three hundred and twenty-one patients were eligible for analyses. The modified-IMDC model with NLR value of 3.6 and PLR value of 157 was selected for comparison with the IMDC model. Both models were well calibrated. All other measures favoured the modified-IMDC model over the IMDC model (CI, 0.706 vs. 0.677; BCCI, 0.699 vs. 0.671; BIC, 2,176.2 vs. 2,190.7; generalized R², 0.238 vs. 0.202; IDI, 0.044; cNRI, 0.279 for individual risk factors; and CI, 0.669 vs. 0.641; BCCI, 0.669 vs. 0.641; BIC, 2,183.2 vs. 2,198.1; generalized R², 0.163 vs. 0.123; IDI, 0.045; cNRI, 0.165 for the three risk groups).

CONCLUSION

Incorporation of NLR and PLR in place of neutrophil count and platelet count improved prognostic accuracy of the IMDC model. These findings require external validation before introducing into clinical practice.

Prognostic factors in second-line targeted therapy for metastatic clear-cell renal cell carcinoma after progression on an anti-vascular endothelial growth factor receptor tyrosine kinase inhibitor

BACKGROUND

About 40% of metastatic clear-cell renal cell carcinoma (m-ccRCC) patients receive a second-line targeted therapy after failure of anti-vascular endothelial growth factor receptor tyrosine kinase inhibitors (anti-VEGFR-TKI). Efficacy of second-line therapy is usually limited and prognostic and predictive factors at the start of second-line therapy are lacking. To identify the subgroup of patients that will benefit from such treatment remains a challenge.

METHODS

We performed a multi-institutional, retrospective study of patients who received a second-line therapy after progression on an anti-VEGFR-TKI. Univariate and multivariate analyses were performed in order to identify prognostic factors for progressive disease (PD) as best response, progression-free survival (PFS) and overall survival (OS) on second-line therapy.

RESULTS

For the whole cohort of 108 patients, mOS from the start of second-line therapy was 8.9 months while mPFS on second-line therapy was 2.8 months. A total of 49/105 (47%) patients had PD, 50/105 (48%) stable disease (SD) and 6/105 (6%) a partial response (PR). On multivariate analysis, the following markers were associated with improved outcome on second-line therapy: a PFS on first-line therapy ≥12 months (HR for PFS: 1.961; p = 0.008) (HR for OS: 1.724; p = 0.037) and Fuhrman grade 1-2 tumors (HR for OS: 2.198; p = 0.007). Markers associated with poorer outcome on second-line therapy were: elevated serum lactate dehydrogenase (LDH) levels (HR for PFS: 0.511; p = 0.04) (HR for OS: 0.392; p = 0.017), low albumin (HR for OS: 0.392; p = 0.01) and elevated corrected calcium levels (HR for OS: 0.416; p = 0.01). The impact on OS of the Memorial Sloan Kettering Cancer Centre (MSKCC) and International Renal Cell Carcinoma Database Consortium (IMDC) prognostic scores as calculated at start of second-line therapy was validated in our patient series.

CONCLUSIONS

Duration of first-line PFS, Fuhrman grade, serum LDH levels, albumin levels, corrected calcium levels and the MSKCC and IMDC scores calculated at start of second-line therapy are prognostic factors for m-ccRCC patients treated with second-line targeted therapy.

The association of platelet count with clinicopathological significance and prognosis in renal cell carcinoma: a systematic review and meta-analysis

OBJECTIVE

Elevated platelet count (PC), a measure of systemic inflammatory response, is inconsistently reported to be associated with poor prognosis in patients with renal cell carcinoma (RCC). We conducted a systematic review and meta-analysis to clarify the significance of PC in RCC prognosis.

METHODS

PubMed, Embase, and Web of Science databases were searched to identify eligible studies to evaluate the associations of PC with patient survival and clinicopathological features of RCC.

RESULTS

We analyzed 25 studies including 11,458 patients in the meta-analysis and categorized the included articles into three groups based on RCC stage. An elevated PC level was associated with poor overall survival (OS, hazard ratio [HR] 2.24, 95% confidence interval [CI] 1.87-2.67, P<0.001) and cancer-specific survival (CSS, HR 2.59, 95% CI 1.92-3.48, P<0.001) when all stages were examined together; with poor CSS (HR 5.09, 95% CI 2.41-10.73, P<0.001) and recurrence-free survival (HR 6.68, 95% CI 3.35-13.34, P<0.001) for localized RCC; with poor OS (HR 2.00, 95% CI 1.75-2.28, P<0.001) for metastatic RCC; and with poor OS (HR 2.05, 95% CI 1.04-4.03, P = 0.038), CSS (HR 3.38, 95% CI 1.86-6.15, P<0.001), and PFS (HR 2.97, 95% CI 1.47-6.00, P = 0.002) for clear cell RCC. Furthermore, an elevated PC level was significantly associated with TNM stage (OR 3.11, 95% CI 1.59-6.06, P = 0.001), pathological T stage (OR 3.13, 95% CI 2.60-3.77, P<0.001), lymph node metastasis (OR 4.01, 95% CI 2.99-5.37, P<0.001), distant metastasis (OR 3.85, 95% CI 2.46-6.04, P<0.001), Fuhrman grade (OR 3.70, 95% CI 3.00-4.56, P<0.001), tumor size (OR 4.69, 95% CI 2.78-7.91, P<0.001) and Eastern Cooperative Oncology Group score (OR 5.50, 95% CI 3.26-9.28, P<0.001).

CONCLUSION

An elevated PC level implied poor prognosis in patients with RCC and could serve as a readily available biomarker for managing this disease.

Prognostic significance of serum albumin in patients with metastatic renal cell carcinoma

Systemic inflammation has been suggested to impact on the prognosis of metastatic renal cell carcinoma (mRCC). We undertook a retrospective analysis of patients with mRCC treated at Akademiska University Hospital in Sweden during the years 2005-2012 to assess the possible prognostic significance of inflammation-related factors including serum albumin, platelet count, weight loss and C-reactive protein (CRP). The Memorial Sloan-Kettering Cancer Center (MSKCC) criteria for prognosis of mRCC and ECOG performance status were assessed for all patients. Overall survival (OS) and progression-free survival (PFS) were calculated according to Kaplan-Meier, and Cox proportional hazards regression was used for uni- and multivariate analyses. The median OS of all patients (n=84) was 20 months. Univariate analysis identified low serum albumin (HR=4.17, p<0.001), elevated platelet count (HR=2.98, p<0.001) and patient-reported weight loss prior to diagnosis of mRCC (HR=2.73, p<0.001), in addition to MSKCC (HR=3.35, p=0.0088) to be associated with shorter OS. CRP did not significantly affect OS. Serum albumin retained prognostic significance for OS in multivariate analysis (HR=2.72, p=0.015). In patients treated with an angiogenesis-targeted agent (n=47), low serum albumin level (HR=4.63, p<0.001) and elevated platelet count (HR=2.11, p=0.022) were associated with shorter PFS. In contrast, CRP, weight loss and MSKCC risk group did not significantly affect PFS. In multivariate analysis serum albumin remained associated with PFS (HR=3.92, p=0.0035). Our findings identify serum albumin as an independent prognostic factor for patients with mRCC treated with angiogenesis-targeted therapy.