Serum C-reactive Protein Level Predicts Overall Survival for Clear Cell and Non-Clear Cell Renal Cell Carcinoma Treated with Ipilimumab plus Nivolumab

First-line therapy for metastatic renal cell carcinoma: A propensity score-matched comparison of efficacy and safety

PURPOSE

Immune checkpoint inhibitor (ICI)-based combination therapy is a standard systemic treatment for metastatic renal cell carcinoma (mRCC). Although differential pharmacologic action between ICI+ICI and ICI+tyrosine kinase inhibitor (TKI) combinations may affect outcomes, comparative studies using real-world data are few.

METHODS

We retrospectively analyzed the records of 447 mRCC patients treated with 1st-line ICI-based combinations at multiple institutions between January 2018 and August 2023, and selected 320 patients diagnosed with clear cell RCC (ccRCC) for further study. Cohorts were matched using one-to-one propensity scores based on IMDC risk classification. Overall survival (OS), progression-free survival (PFS), objective response rates (ORRs), and treatment-related adverse events (TrAE) were compared.

RESULTS

The matching process yielded 228 metastatic ccRCC patients treated with ICI+ICI (n = 114) or ICI+TKI (n = 114). Median OS was 53 months (95%CI: 33-NA) in patients treated with ICI+ICI and was not reached (95%CI: 43-NA) with ICI+TKI (P = 0.24). Median PFS was significantly shorter for ICI+ICI (13 months, 95%CI: 7-25) than for ICI+TKI (25 months, 95%CI: 13-NA) (P = 0.047). There were no differences in second-line PFS for sequential therapy after 1st-line combinations of ICI+ICI or ICI+TKI (6 vs. 8 months, P = 0.6). There were no differences in ORR between the 2 groups (ICI+ICI: 51% vs. ICI+TKI: 55%, P = 0.8); the progressive disease (PD) rate was significantly higher in patients treated with the ICI+ICI combination (24% vs. 11%, P = 0.029). The rate of any grade TrAE was significantly higher in patients treated with ICI+TKI (71% vs. 85%, P = 0.016), but we found no differences in severe TrAE between the 2 groups (39% vs. 36%, P = 0.8).

CONCLUSIONS

In a matched cohort of real-world data, we confirmed comparable OS benefits between ICI+ICI and ICI+TKI combinations. However, differential clinical behaviors in terms of PFS, PD rates, and TrAE between ICI-based combinations may enrich clinical decision-making.

The lymphocyte-to-monocyte ratio as a significant inflammatory marker associated with survival of patients with metastatic renal cell carcinoma treated using nivolumab plus ipilimumab therapy

BACKGROUND

Nivolumab plus ipilimumab (NIVO + IPI) is the first-line treatment for patients with metastatic renal cell carcinoma (mRCC). While approximately 40% of patients treated with NIVO + IPI achieve a durable response, 20% develop primary resistance with severe consequences. Therefore, there is a clinical need for criteria to select patients suitable for NIVO + IPI therapy to optimize its therapeutic efficacy. Accordingly, our aim was to evaluate the association between candidate biomarkers measured before treatment initiation and survival.

METHODS

This was a multi-institutional, retrospective, cohort study of 183 patients with mRCC treated with systematic therapies between August 2015 and July 2023. Of these, 112 received NIVO + IPI as first-line therapy: mean age, 68 years; men, 83.0% (n = 93), and clear cell histology, 80.4% (n = 90). Univariable and multivariable analyses were used to evaluate associations between biomarkers and survival.

RESULTS

On univariate analysis, high C-reactive protein and systemic index, a high neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio, and a low lymphocyte-to-monocyte ratio (LMR) were associated with shorter overall survival (OS). On multivariable analysis, a LMR ≤ 3 was retained as an independent factor associated to shorter OS with the highest accuracy (C-index, 0.656; hazard ratio, 7.042; 95% confidence interval, 2.0-25.0; p = 0.002).

CONCLUSION

A low LMR may identify patients who would be candidate for NIVO + IPI therapy for mRCC.

Association of Elevated C-Reactive Protein with Worsened Outcomes in Different Histologies of Renal Cortical Tumors: Analysis of the INMARC Registry

BACKGROUND

To evaluate relationship between histological subtypes of renal cell carcinoma (RCC) and preoperative c-reactive protein (CRP).

PATIENTS AND METHODS

We queried the International Marker Consortium for Renal Cancer database for patients affected by RCC. Patients were classified according to their histology: benign tumors, clear cell (cc) RCC, chromophobe (ch) RCC, papillary (p) RCC, and variant histology (vh) RCC; and according to CRP (mg/L): low CRP ≤5 and high CRP >5. Primary outcome was all-cause mortality (ACM). Secondary outcomes were cancer-specific mortality (CSM), recurrence and association between CRP and histology. Multivariable analysis (MVA) via Cox regression and multivariable logistic regression were fitted to elucidate predictors of outcomes.

RESULTS

Total 3902 patients (high CRP n = 1266) were analyzed; median follow up 51 (IQR 20-91) months. On MVA elevated CRP was an independent risk factor associated with increased risk of ACM in benign tumors (HR 5.98, P < .001), ccRCC (HR 2.69, P < .001), chRCC (HR 3.99, P < .001), pRCC (HR 1.76, P = .009) and vhRCC (HR 2.97, P =.007). MVA for CSM showed CRP as risk factor in ccRCC (HR 2.77, P < .001), chRCC (HR 6.16, P = .003) and pRCC (HR 2.29, P = .011), while in vhRCC was not (P = .27). MVA for recurrence reported CRP as risk factor for ccRCC (HR 1.30, P = .013), while in chRCC (P = .33), pRCC (P = .34) and vhRCC (P = .52) was not. On multivariable logistic regression CRP was a predictor of pRCC (OR 1.003, P = .002), while decreasing CRP was associated with benign tumors (OR 0.994, P = .048).

CONCLUSION

Elevated CRP was a robust predictor of worsened ACM in all renal cortical neoplasms. While most frequently observed in pRCC patients, elevated CRP was independently associated with worsened CSM in non-vhRCC. Conversely, elevated CRP was least likely to be noted in benign tumors, and elevation in this subgroup of patients should prompt further consideration for surveillance given increased risk of ACM. Further investigation is requisite.

Diagnostic, predictive and prognostic molecular biomarkers in clear cell renal cell carcinoma: A retrospective study

Clear cell renal cell carcinoma (ccRCC) is a common and aggressive subtype of kidney cancer. Many patients are diagnosed at advanced stages, making early detection crucial. Unfortunately, there are currently no noninvasive tests for ccRCC, emphasizing the need for new biomarkers. Additionally, ccRCC often develops resistance to treatments like radiotherapy and chemotherapy. Identifying biomarkers that predict treatment outcomes is vital for personalized care. The integration of artificial intelligence (AI), multi-omics analysis, and computational biology holds promise in bolstering detection precision and resilience, opening avenues for future investigations. The amalgamation of radiogenomics and biomaterial-basedimmunomodulation signifies a revolutionary breakthrough in diagnostic medicine. This review summarizes existing literature and highlights emerging biomarkers that enhance diagnostic, predictive, and prognostic capabilities for ccRCC, setting the stage for future clinical research.

Early kinetics of C-reactive protein as prognosticator for survival in a real-world cohort of patients with metastatic renal cell cancer under first-line therapy with immune checkpoint inhibitors

PURPOSE

This study investigated the prognostic potential of baseline C-reactive protein (CRP) levels and early CRP kinetics in a real-world cohort of patients with metastatic renal cell carcinoma (mRCC) under first-line (1L) therapy with immune checkpoint inhibitors (CPI).

METHODS/PATIENTS

Analyses were performed retrospectively in a cohort of 61 mRCC patients under CPI-based 1L therapy. Patients were stratified based on baseline CRP (< 10 vs ≥ 10 mg/l) and CRP change within the initial three months of CPI therapy (normal: baseline < 10 mg/l, normalized: baseline ≥ 10 mg/l and nadir < 10 mg/l, non-normalized: baseline and nadir ≥ 10 mg/l). Finally, the association of baseline CRP and CRP change with progression-free (PFS) and overall survival (OS) was evaluated.

RESULTS

Baseline CRP was not significantly associated with both PFS (p = 0.666) and OS (p = 0.143). Following stratification according to early CRP kinetics, 23, 25 and 13 patients exhibited normal, normalized and non-normalized CRP levels, respectively. Patients with normal and normalized CRP had a markedly prolonged PFS (p = 0.091) and OS (p = 0.008) compared to patients with non-normalized CRP. Consequently, significantly better PFS (p = 0.031) and OS (p = 0.002) were observed for the combined normal-normalized group. In multivariate analysis including ECOG and IMDC risk, normalized CRP kinetics alone or in combination with the normal group was identified as significant independent risk factor for OS, whereas a statistical trend was observed for PFS.

CONCLUSIONS

The present study emphasizes the prognostic potential of early CRP kinetics in CPI-treated mRCC. As a standard laboratory parameter, CRP can be easily implemented into clinical routine to facilitate therapy monitoring.

C‑reactive protein and related predictors in soft tissue sarcoma (Review)

C-reactive protein (CRP) is a useful predictor of poor survival in patients with several types of cancer because inflammation is strongly associated with cancer progression. The production of CRP in hepatocytes appears to be primarily induced at the transcriptional level following the elevation of circulating interleukin-6 (IL-6), which is produced by various cell types, including cancer cells and cancer-associated fibroblasts. Serum CRP levels are associated with serum IL-6 levels in patients with soft tissue sarcoma (STS). Additionally, patients with elevated CRP levels had worse oncological outcomes than those with normal CRP levels. It has been attempted to combine CRP levels with other inflammatory or immune markers, and the utility of this has been demonstrated. Therefore, a novel treatment strategy should be developed for patients with STS with elevated CRP levels. The present review aimed to clarify the role of CRP levels and related tools in predicting clinical outcomes in patients with STS.

Prognostic Value of Absolute Lymphocyte Count in Patients with Advanced Renal Cell Carcinoma Treated with Nivolumab Plus Ipilimumab

Nivolumab and ipilimumab (NIVO + IPI) is standard therapy for patients with advanced renal cell carcinoma (RCC). Absolute lymphocyte count (ALC) is a valuable prognostic factor in patients with various cancers treated with immune checkpoint inhibitors. Herein, we determined the prognostic value of pretreatment ALC in advanced RCC patients treated with NIVO + IPI as first-line therapy. Data from 46 advanced RCC patients treated with NIVO + IPI between September 2018 and August 2022 were retrospectively reviewed and analyzed. Median progression-free survival (PFS) and overall survival (OS) were significantly shorter in patients with low than high ALC (PFS: p = 0.0095; OS: p = 0.0182). Multivariate analysis suggested that prior nephrectomy [hazard ratio (HR) = 3.854, 95% confidence interval (CI) = 1.433-10.359, p = 0.0075] and pretreatment ALC (HR = 2.513, 95% CI = 1.119-5.648, p = 0.0257) were independent factors for PFS. Our new prognostic ALNx model based on ALC and prior nephrectomy suggested that the poor-risk group was a predictor of significantly worse PFS (p < 0.0001) and OS (p = 0.0016). Collectively, the developed ALNx model may be a novel predictor of response in advanced RCC patients treated with NIVO + IPI.