Real-world Outcome of Patients with Advanced Renal Cell Carcinoma and Intermediate- or Poor-risk International Metastatic Renal Cell Carcinoma Database Consortium Criteria Treated by Immune-oncology Combinations: Differential Effectiveness by Risk Group?

Unraveling the mechanisms of tricetin in renal cell carcinoma treatment through network pharmacology and experimental validation

Renal cell carcinoma (RCC), one of the most common types of kidney cancer, represents a major global health concern due to its increasing incidence and high death rates. While conventional treatment modalities have improved patient outcomes, they often face limitations such as drug resistance, severe adverse effects, and limited efficacy in advanced or metastatic cases. These challenges highlight the urgent need for novel therapeutic approaches to enhance RCC management. Tricetin, a natural flavonoid abundant in cereal plants, has shown promising anticancer activity in various malignancies by inhibiting cancer cell proliferation, migration, and invasion. However, the molecular mechanisms underlying Tricetin's effects on RCC remain poorly understood. In this research, we employed network pharmacology to identify key molecular targets of Tricetin in RCC and evaluated its binding affinity to these targets using molecular docking techniques. Bioinformatics analyses were conducted to predict the potential biological pathways involved. Furthermore, in vitro experiments using RCC cell lines (786-O and ACHN) demonstrated that Tricetin suppresses cell proliferation and migration, likely through modulation of the EGFR/PI3K/Akt signaling pathway. Overall, our findings offer new insights into the therapeutic potential of Tricetin and provide a foundation for developing targeted treatment strategies to improve RCC outcomes.

Enhancing outcomes in metastatic renal cell carcinoma: Integrating precision radiotherapy with targeted therapy and anti-PD-1 immunotherapy

PURPOSE

This study assesses the safety and disease control outcomes in metastatic renal cell carcinoma (mRCC) patients undergoing concurrent tyrosine kinase inhibitors (TKI), immune checkpoint inhibitors (ICIs), and high-dose stereotactic ablative body radiotherapy (SABR) .

PATIENTS AND METHODS

Between February 2020 to May 2023, 54 mRCC patients receiving vascular endothelial growth factor (VEGF) targeted therapy and ICIs with high-dose radiotherapy (RT) were included. Genetic testing was performed on 25 pathology samples using the Acornmed 70™ panel. Endpoints included progression-free survival (PFS) 1, PFS2 (time to progression to change systemic therapy), LRFS, OS, disease control rate (DCR) and safety. Kaplan‒Meier analysis was used for time-to-event endpoints. HRs and 95% CIs were calculated. R version 4.3.1 was used for statistical analysis RESULTS: In this study involving 54 patients, SABR was employed in 81% of cases, achieving a 98% DCR. Median PFS1 was 16.9 months, with 2-year PFS2 and OS rates of 53% and 81%, respectively. Subgroup analysis revealed that early RT significantly improved PFS1 (P = 0.023). VHL-driven mRCC demonstrated a trend toward improved PFS1, statistical significance was not reached due to the limited sample size (P = 0.3). Safety analysis indicated grade 3 or 4 treatment-related adverse events in 50% of patients, with no grade 5 events.

CONCLUSIONS

The investigated trimodality treatment strategy is both safe and effective, resulting in prolonged PFS without requiring a change in systemic treatment. Overall, early RT intervention may offer additional benefits. Future research should provide molecular-level insights into treatment response.

Real-world comparison of the efficacy of first-line therapies and the influence of risk factors in advanced renal cell carcinoma

INTRODUCTION

Systemic therapy for advanced renal cell carcinoma (aRCC) has become increasingly diverse. In the 1st-line setting, various combination therapies are available, with little comparative data on the efficacy of the therapies. The aim of this study was to compare the current 1st-line combination therapies under real-life conditions and to investigate risk factors in the patient population.

METHODS

Patients with aRCC who started 1st-line IO/IO or IO/TKI combination  therapy between 03/2019 and 10/2023 were included. The primary endpoints were progression-free survival (PFS) and overall survival (OS). Secondary endpoints were time on treatment (ToT), duration of response (DoR), subsequent therapies, the evaluation of risk factors and their influence on PFS and OS. Survival data were analysed using Kaplan-Meier estimates with log-rank tests, risk factors for PFS and OS using Cox regression analysis.

RESULTS

A total of 59 patients, mainly men (79.7%) with a median age of 64.8 years were included. The median follow-up was 21 months. The comparison of IO/IO vs. IO/TKI demonstrated a median PFS of 6 (2.08-9.92) vs. 14 (9.06-18.94) months (47 events; HR IO/TKI vs. IO/IO: 0.53 (0.29-0.99); p = 0.039) and a median OS of 20 (15.07-24.94) vs. 33 (21.68-44.32) months (32 deaths; HR IO/TKI vs. IO/IO: 0.74 (0.36-1.51); p = 0.403). Off all risk factors analysed only synchronous metastases proved to be of independent predictive value for PFS (HR 2.38; 95% CI 1.11-5.11; p = 0.026) and OS (HR 3.47; 95% CI 1.15-10.44; p = 0.027).

CONCLUSION

An IO/TKI therapy showed a significantly improved PFS in the real-world setting compared to an IO/IO combination. In terms of OS, the improved treatment response of the IO/TKI group did not prevail.

The relationship between body mass index and survival in patients with renal cell carcinoma treated with nivolumab

INTRODUCTION

Immunotherapies have increased the therapeutic options for patients with metastatic renal cell carcinoma (mRCC), but the absence of prognostic indicators remains unresolved. We assessed the potential association of BMI with the overall survival (OS) of patients treated with nivolumab.

METHODS

We performed a retrospective study of 126 patients with histologically confirmed mRCC who began systemic ICI therapy between January 2016 and April 2022 were included. BMI at the time of treatment start was calculated. Then patients were divided into two groups: high BMI (≥25) and low BMI (<25). Therapeutic responses were determined according to RECIST v1.1. OS was defined as the time from starting ICI treatment until death or last follow-up at the data cutoff.

RESULTS

The cohort was male 74.6%, with a median age of 62. The median follow-up time was 18.6 months. The patients were classified as low BMI (<25) and high BMI (≥25). The OS was 40.6 months (95% CI: 34.2-47.0) for patients with high BMI vs. 9.4 months (95% CI: 7.0-11.7) for patients with low BMI, and a significant association was found between BMI and OS (p < 0.001).

CONCLUSIONS

BMI was an independent prognostic factor in the patients with mRCC treated with nivolumab. Prospective and multicenter research is needed to confirm our findings.

Real-world short-term outcomes and treatment regimen comparisons in patients with metastatic renal cell carcinoma treated with first-line immune combinations

BACKGROUND

Immune-combinations have recently become the standard first-line treatment for patients with metastatic renal cell carcinoma (mRCC). This study evaluated the applicability of the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) risk model in predicting outcomes for patients treated with either immune-oncologic drug doublet (IO-IO) or immune-oncologic drug tyrosine kinase inhibitor combinations (IO-TKI). A secondary objective to compare the effectiveness of IO-IO versus IO-TKI within the IMDC risk groups over a short follow-up period.

METHODS

A retrospective analysis was conducted on 172 patients with mRCC treated with first-line immunotherapy combinations. Progression free survival (PFS), time to treatment failure 2 (TTF2), and overall survival (OS) were compared between IMDC risk categories. Model fit was assessed using the c-index. The inverse probability of treatment weighting (IPTW) method was used to adjust and compare outcomes between IO-IO and IO-TKI, except for IMDC favorable risk patients due to the small number of IO-IO cases.

RESULTS

The IMDC risk model demonstrated a c-index of 0.684 (OS) for entire cohort, 0.600 (PFS), 0.596 (TTF2), and 0.624 (OS) for IO-IO, and 0.667 (PFS), 0.702 (TTF2), and 0.751 (OS) for IO-TKI. In the IMDC intermediate and poor risk groups after IPTW adjustment, PFS (HR 0.72), TTF2 (HR 0.67), and OS (HR 0.74) did not significantly differ between IO-IO and IO-TKI. Specifically, in the IMDC intermediate risk group, PFS (HR 0.79), TTF2 (HR 0.69), and OS (HR 0.65) were longer in IO-TKI, though the differences were not statistically significant. In the IMDC poor risk group, PFS (HR 0.76), TTF2 (HR 0.77), and OS (HR 1.03) were comparable.

CONCLUSIONS

The impact of IMDC risk model on survival was modest in IO-IO, while remained statistically substantial in IO-TKI. Survival outcomes did not significantly differ between IO-IO and IO-TKI during the short follow-up period.

Immune-Based and Novel Therapies in Variant Histology Renal Cell Carcinomas

Renal cell carcinoma (RCC) is a heterogeneous disease that represents the most common type of kidney cancer. The classification of RCC is primarily based on distinct morphological and molecular characteristics, with two broad categories: clear cell RCC (ccRCC) and non-clear cell RCC (nccRCC). Clear cell RCC is the predominant subtype, representing about 70-80% of all RCC cases, while non-clear cell subtypes collectively make up the remaining 20-30%. Non-clear cell RCC encompasses many histopathological variants, each with unique biological and clinical characteristics. Additionally, any RCC subtype can undergo sarcomatoid dedifferentiation, which is associated with poor prognosis and rapid disease progression. Recent advances in molecular profiling have also led to the identification of molecularly defined variants, further highlighting the complexity of this disease. While immunotherapy has shown efficacy in some RCC variants and subpopulations, significant gaps remain in the treatment of rare subtypes. This review explores the outcomes of immunotherapy across RCC subtypes, including rare variants, and highlights opportunities for improving care through novel therapies, biomarker-driven approaches, and inclusive clinical trial designs.

A Case of Post-Endobronchial Ultrasound Polymicrobial Pericarditis and Mediastinitis in Metastatic Renal Cell Carcinoma

Introduction

Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) is a frequently used bronchoscopic method for sampling centrally located tumors and accessible mediastinal lymph nodes. It is widely employed for staging and obtaining tissue diagnosis in lung cancer, but it can also be used for other conditions with mediastinal lymph node metastases. Although the reported complication rate for EBUS-TBNA varies, it consistently remains low, including for severe infectious complications such as pericarditis and mediastinitis.

Case Presentation

We present a unique case of polymicrobial pyogenic pericarditis, mediastinitis, and death in a patient who underwent EBUS-TBNA for the evaluation of solitary mediastinal lymphadenopathy in the background of previously resected renal cell carcinoma. There were no complications during her procedure and her mediastinal lymph node biopsy confirmed metastatic renal cell carcinoma. However, 23 days after her procedure, she presented to the emergency department with sepsis and cardiac tamponade. Pericardial fluid cultures and computed tomography imaging confirmed polymicrobial pyogenic pericarditis and mediastinitis.

Conclusion

While complications from EBUS-TBNA are rare, clinicians need to be aware that pericarditis and mediastinitis are possible life-threatening complications in order to facilitate early recognition and interventions.

Choosing the optimal therapy for metastatic renal cell carcinoma: Insights from a real-world comparative study

BACKGROUND

The evolution of combination therapies integrating immune checkpoint inhibitors has revolutionized the first-line treatment of metastatic renal cell carcinoma (mRCC). Although these therapies are clinically approved, direct comparisons between dual immune checkpoint inhibitors (IOIO) and immune checkpoint inhibitors combined with tyrosine kinase inhibitors (IOTKI) in clinical trials are lacking. This gap creates uncertainties in selecting the most appropriate treatment based on patient-specific factors.

METHODS

This study employed the inverse probability of treatment weighting (IPTW) method to analyze progression-free survival (PFS) and overall survival (OS) for patients with mRCC receiving IOIO or IOTKI treatment regimens.

RESULTS

A total of 171 patients were analyzed after applying inclusion criteria and propensity scoring. The study found no significant differences in PFS and OS between the two treatment modalities in the IPTW cohort. However, subgroup analyses revealed that IOTKI therapy was associated with better PFS and OS for patients without bone metastases and better OS for patients with a body mass index (BMI) over 25. IOIO therapy showed better OS for patients with a BMI below 18.5.

CONCLUSION

Both IOIO and IOTKI therapies were effective. Therapy selection could be better tailored to patient characteristics by including factors such as the presence of bone metastases and BMI. This study enhances understanding of how patient-specific factors interact with different treatment modalities, potentially guiding more personalized treatment decisions in clinical practice for mRCC.

Banana-shaped survival curves of metastatic renal cell carcinoma treated with first-line immune-combinations, not just a matter of "palateau"

The first-line therapy of metastatic renal cell carcinoma (mRCC) has revolutionized with the approval of immune checkpoint inhibitors (ICIs) in combination with or without tyrosine kinase inhibitors (TKIs). The choice among the many different immuno-combinations (ICI-ICI or ICI-TKI) is challenging due to the lack of predictive factors. The different shapes of the Kaplan-Meier survival curves (e.g. "banana-shaped curves") have raised many questions on the long-term survival benefit. Here, we analyzed the factors that could have impacted the different long-term survival, including the prognostic factors distribution (IMDC score), histological factors (sarcomatoid features, PD-L1 expression), and treatment characteristics (mechanism of action, duration, discontinuation rate). This overview highlights the factors that should be considered in the first-line setting for the patients' therapeutic choice and prognostic assessment. They are also fundamental parameters to examined for head-to-head studies and real-life, large-scale studies.

Clinical features and response to immune combinations in patients with renal cell carcinoma and sarcomatoid de-differentiation (ARON-1 study)

Metastatic renal cell carcinoma (mRCC) carrying sarcomatoid features (sRCC) has aggressive biology and poor prognosis. First-line immunotherapy (IO)-based combinations have improved the outcome of clear cell RCC patients, including that of sRCC. Real-world data confirming the adequate first-line management of sRCC is largely lacking. We investigated the clinical features and the outcome of sRCC patients treated with IO-based combinations within the ARON-1 study population (NCT05287464). The primary objective was to define the incidence and baseline clinical characteristics of sRCC compared with non-sRCC patients. The secondary objective was to describe the outcome of sRCC patients based on type of first-line treatment (IO + IO vs. IO + tyrosin kinase inhibitor [TKI]). We identified 1362 mRCC patients with IMDC intermediate or poor risk, 226 sRCC and 1136 non-sRCC. These two subgroups did not differ in terms of baseline characteristics. The median overall survival (OS) was 26.8 months (95%CI 21.6-44.2) in sRCC and 35.3 months (95%CI 30.2-40.4) in non-sRCC patients (p = .013). The median progression-free survival (PFS) was longer in non-sRCC patients compared to sRCC (14.5 vs. 12.3 months, p = .064). In patients treated with first-line IO + TKI the median OS was 34.4 months compared to 26.4 months of those who received IO + IO (p = .729). The median PFS was 12.4 months with IO + TKI and 12.3 months with IO + IO (p = .606). In conclusion, we confirm that sRCC are aggressive tumors with poor prognosis. IO-based combinations improve survival outcomes of sRCC patients, regardless from the type of strategy (IO + IO versus IO + TKI) adopted.

Biological functions and molecular mechanisms of LINC01116 in cancer

LINC01116, a long non-coding RNA (lncRNA), serves as an important regulator in the progression of cancer cells and has attracted increased attention in biological fields. It is overexpressed in various cancer cells and is significantly correlated with cancer development and poor prognosis in cancer patients. Moreover, LINC01116 regulates the gene expression of various cancers through intricate pathways, such as sponging the microRNAs or other non-genic manners. These signaling pathways greatly affect the cancer's biological functions, including cell growth, migration, invasion, and chemoresistance. Hence, LINC01116 may serve as a prognostic biomarker and therapeutic target for human cancer. This paper summarizes the current evidence regarding the biological functions and molecular mechanisms of LINC01116 in the progression of cancer, providing theoretical references for LINC01116-related cancer treatment in the future.

Real-World Primary Resistance to First-Line Immune-Based Combinations in Patients with Advanced Renal Cell Carcinoma (ARON-1)

BACKGROUND

Therapeutic advancements based on immuno-oncology combinations have revolutionized the management of patients with renal cell carcinoma. However, patients who have progressive disease as the best response, "primary refractory" (Pref), face dismal outcomes.

OBJECTIVE

Our multicenter retrospective real-world study aims to assess the prevalence and clinicopathological characteristics of Pref patients.

METHODS

This study collected data from 72 centers across 22 countries (1709 patients), involving patients aged ≥18 years with metastatic clear cell renal cell carcinoma. All patients were treated with first-line immune-oncology combinations. Data included patient demographics, histology, metastatic sites, and treatment responses. Radiological assessments followed Response Evaluation Criteria in Solid Tumors version 1.1. Statistical analyses employed Kaplan-Meier method, Cox proportional hazard models, logistic regression, and the receiver operating characteristic curve.

RESULTS

In our study, the Pref rate was 19%. Nivolumab/ipilimumab showed the highest Pref rate (27%), while pembrolizumab/lenvatinib exhibited the lowest (10%). Primary refactory patients demonstrated significantly lower median overall survival (7.6 months) compared with non-Pref patients (55.7 months), p < 0.001. At the multivariate analysis, nephrectomy, sarcomatoid de-differentiation, intermediate/poor International Metastatic RCC Database Consortium risk, and bone and brain metastases emerged as significant predictors of overall survival for Pref patients with renal cell carcinoma. Logistic regression showed a significant relationship between liver metastases, intermediate/poor International Metastatic RCC Database Consortium risk, and no surgery and an increased risk of Pref. This study presents limitations, mainly because of its retrospective design.

CONCLUSIONS

The ARON-1 study provides valuable insights into Pref patients, emphasizing the challenges of this precociously resistant subgroup. Identified predictors could guide risk stratification, aiding clinicians in tailored therapeutic approaches.

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.

Hepatocellular Carcinoma Immunotherapy: Predictors of Response, Issues, and Challenges

Immune checkpoint inhibitors (ICIs), such as durvalumab, tremelimumab, and atezolizumab, have emerged as a significant therapeutic option for the treatment of hepatocellular carcinoma (HCC). In fact, the efficacy of ICIs as single agents or as part of combination therapies has been demonstrated in practice-changing phase III clinical trials. However, ICIs confront several difficulties, including the lack of predictive biomarkers, primary and secondary drug resistance, and treatment-related side effects. Herein, we provide an overview of current issues and future challenges in this setting.

Papillary Renal Cell Carcinoma: Outcomes for Patients Receiving First-line Immune-based Combinations or Tyrosine Kinase Inhibitors from the ARON-1 Study

BACKGROUND AND OBJECTIVE

Papillary renal cell carcinoma (pRCC) is the most frequent histological subtype of non-clear cell RCC (nccRCC). Owing to the heterogeneity of nccRCC, patients are often excluded from large phase 3 trials focused on clear cell RCC, so treatment options for nccRCC remain limited. Our aim was to investigate the efficacy of first-line treatment with tyrosine kinase inhibitors (TKIs) or immuno-oncology (IO)-based combinations in patients with pRCC.

METHODS

We performed a multicenter retrospective analysis of real-world data collected for patients with advanced pRCC treated in 40 centers in 12 countries as part of the ARON-1 project (NCT05287464). The primary endpoints were overall survival (OS), progression-free survival (PFS), the overall response rate (ORR), and time to second progression (PFS2). OS, PFS, and PFS2 were estimated using the Kaplan-Meier method and results were compared between the treatment groups using a log-rank test. Univariate and multivariable analyses were carried out using Cox proportional-hazard models.

KEY FINDINGS AND LIMITATIONS

We included 200 patients with metastatic pRCC, of whom 73 were treated with IO-based combinations and 127 with TKIs. Median OS was 22.5 mo in the TKI group 28.8 mo in the IO group (p = 0.081). Median PFS was 6.4 mo in the TKI group and 17.4 mo in the IO group (p < 0.001). The ORR was higher in the IO group than in the TKI group (41% vs 27%; p = 0.037).

CONCLUSIONS AND CLINICAL IMPLICATIONS

Our results show that IO-based combinations have superior efficacy outcomes to TKIs for first-line treatment of metastatic pRCC.

PATIENT SUMMARY

The ARON-1 project collects clinical data for patients with kidney cancer treated in multiple centers worldwide to assess outcomes in the real-world setting. We analyzed data for patients with metastatic kidney cancer of a specific subtype to evaluate the efficacy of different first-line treatments. Patients treated with immune-based combinations had better outcomes than patients treated with tyrosine kinase inhibitors.

Impact of pretreatment body mass index on clinical outcomes in patients with metastatic renal cell carcinoma receiving first-line immune checkpoint inhibitor-based therapy: A systematic review and meta-analysis

This study aimed to assess the prognostic role of body mass index (BMI) in patients with metastatic renal cell carcinoma (mRCC) treated with first-line immune checkpoint inhibitor (ICI)-based therapy. We searched for relevant studies in the MEDLINE, Embase, and Cochrane Library databases. The initial search yielded 599 records, of which seven articles (2,517 patients) were selected for analysis. Patients with a high BMI had a favorable overall survival (OS) based on hazard ratio (HR) (crude HR 0.69, 95% confidence interval [CI] 0.57-0.83, p<0.0001; adjusted (a)HR 0.75, 95% CI 0.59-0.95, p=0.02), but not relative risk (RR 0.88, 95% CI 0.67-1.16, p=0.37). In the subgroup analysis, patients with a high BMI had better OS in the ICI with tyrosine kinase inhibitor (TKI) subgroup (aHR 0.71, 95% CI 0.55-0.92, p=0.01), while no significant difference was found in the ICI-only subgroup (aHR 1.02, 95% CI 0.56-1.87, p=0.95). Adjusted statistics for progression-free survival (PFS) were assessable in predominantly ICI-only studies and demonstrated a favorable outcome for patients with a low BMI (aHR 1.67, 95% CI 1.14-2.45, p=0.01). In conclusion, the impact of high BMI varies depending on the treatment type, exhibiting a favorable correlation with OS within ICI with TKI subgroup, but indicating an adverse association with PFS in the ICI-only subgroup. Further research is needed to clarify the influence of BMI by stratifying patients into ICI-only and ICI with TKI treatment to provide more insights.

Prognostic Role of Pre-Treatment Body Composition Parameters in Patients Undergoing First-Line Immunotherapy for Metastatic Renal Cell Carcinoma

Purpose

We investigated the relationship between body mass index (BMI), radiological body composition, and survival outcomes in patients with metastatic renal cell carcinoma (mRCC) underwent first-line immune checkpoint inhibitor (ICI)-based therapy.

Methods

Analyzing data from 102 patients treated between November 2019 and March 2023, pre-treatment computed tomography (CT) scans assessed fat and muscle areas. BMI and body composition indices were examined, including skeletal muscle index, subcutaneous fat index (SFI), visceral fat index, and total fat index. Kaplan-Meier curves and Log rank tests compared progression-free survival (PFS) and overall survival (OS), while multivariable Cox proportional regression analysis was performed to identify the variables significantly associated with survival outcomes.

Results

54 patients (52.9%) experienced disease progression, and 26 (25.5%) died during a median follow-up of 17.4 months. High SFI was significantly associated with improved OS (p = 0.018) but not PFS (p = 0.090). Multivariable analysis confirmed the positive impact of high SFI on OS (adjusted HR: 0.37, p = 0.029) and suggested a trend towards improved PFS (adjusted HR: 0.61, p = 0.088). Notably, in the ipilimumab + nivolumab subgroup, high SFI significantly correlated with both PFS and OS (p = 0.047 and p = 0.012, respectively).

Conclusion

High SFI predicts favorable OS in patients with mRCC receiving first-line ICI-based therapy, especially patients treated with ipilimumab + nivolumab displayed a significant association between high SFI and favorable PFS and OS.

Prognostic value of type of prior TKI in pretreated metastatic renal cell carcinoma patients receiving nivolumab

Aim: To define the prognostic significance of first-line TKI in mRCC patients receiving nivolumab.Materials and methods: A total of 571 mRCC patients who received ≥second line nivolumab were included in this subanalysis. The correlation between prior TKI (sunitinib vs. pazopanib) and overall response rate (ORR), disease control rate, progression-free survival and overall survival were investigated. Additionally, the impact of TKI choice according to the International Metastatic RCC Database Consortium prognostic score was examined.Results: There was no significant difference between sunitinib and pazopanib groups in terms of mPFS, mOS, overall response rate and disease control rate. Moreover, no difference between sunitinib and pazopanib was found according to the International Metastatic RCC Database Consortium prognostic score.Conclusion: There is no conclusive evidence favoring pazopanib or sunitinib treatment before initiating nivolumab therapy in metastatic renal cell carcinoma patients.

Exploring the prognostic implications of cuproptosis-associated alterations in clear cell renal cell carcinoma via in vitro experiments

This study investigated the impact of novel copper ionophores on the prognosis of clear cell renal cell carcinoma (ccRCC) and the tumor microenvironment (TME). The differential expression of 10 cuproptosis and 40 TME-pathway-related genes were measured in 531 tumor samples and 71 adjacent kidney samples in The Cancer Genome Atlas database. A risk score model was constructed with LASSO cox to predict the prognosis of ccRCC patients. Forest plot and function enrichment were used to study the biological function of the key genes in depth. The study found that the risk score model accurately predicted the prognosis of ccRCC patients. Patients with high scores had higher immune responses with a higher proportion of anti-tumor lymphocytes and a lower proportion of immunosuppressive M2-like macrophages. However, the high-score group also exhibited a higher proportion of T follicular helper cells and regulatory T cells. These results suggest that cuproptosis-based therapy may be worth further investigation for the treatment of ccRCC and TME. Subsequently, by using RNAi, we established the stable depletion models of FDX1 and PDHB in ccRCC cell lines 786-O and ACHN. Through CCK8, colony formation, and Transwell assays, we observed that the knockdown of FDX1 and PDHB could significantly reduce the capabilities of proliferation and migration in ccRCC cells. In conclusion, this study illuminates the potential effectiveness of copper ionophores in the treatment of ccRCC, with higher risk scores correlating with better TME immune responses. It sets the stage for future cuproptosis-based therapy research in ccRCC and other cancers, focusing on copper's role in TME.

First-line dual immune checkpoint inhibitor therapies versus combination therapies comprising immune checkpoint inhibitors and tyrosine kinase inhibitors for advanced renal cell carcinoma: a comparative analysis of the effectiveness using real-world data

BACKGROUND

There are few comparative studies on dual immune checkpoint inhibitors (ICIs) (i.e., IO-IO) and combination therapies comprising ICIs plus tyrosine kinase inhibitors (TKIs) (i.e., IO-TKI) for advanced renal cell carcinoma (RCC), especially in real-world settings.

METHODS

We retrospectively evaluated data of 175 patients with IMDC intermediate-risk or poor-risk RCC; as first-line therapy, 103 received IO-IO, and 72 received IO-TKI. An inverse probability of treatment weighting (IPTW) analysis was conducted to balance patients' backgrounds in the IO-IO and IO-TKI groups.

RESULTS

Based on the IPTW analysis, progression-free survival (PFS) was longer in the IO-TKI group than in the IO-IO group (median: 15.6 vs. 8.3 months; p = 0.0386). In contrast, overall survival was not different between groups (median: 46.7 vs. 49.0 months; p = 0.465). Although the IPTW-adjusted objective response rate was not significantly different (51.2% vs. 43.9%; p = 0.359), the progressive disease rate as the best overall response was lower in the IO-TKI group than in the IO-IO group (3.3% vs. 27.4%; p < 0.0001). Regarding the safety profile, the treatment interruption rate was higher in the IO-TKI group than in the IO-IO group (70.3% vs. 49.2%; p = 0.005). In contrast, the IO-IO group had a higher corticosteroid administration rate (43.3% vs. 20.3%; p = 0.001).

CONCLUSION

IO-TKI therapy exhibited superior effectiveness over IO-IO therapy in terms of PFS improvement and immediate disease progression prevention and was associated with a higher risk of treatment interruption and a lower risk of needing corticosteroids.

Stem Cell Origin of Cancer: Clinical Implications beyond Immunotherapy for Drug versus Therapy Development in Cancer Care

Although immunotherapy has revolutionized cancer care, there is still an urgent need to enhance its efficacy and ensure its safety. A correct cancer theory and proper scientific method empower pertinent cancer research and enable effective and efficient drug versus therapy development for patient care. In this perspective, we revisit the concept of immune privilege in a cancer cell versus normal cell, as well as in a cancer stem cell versus normal stem cell. We re-examine whether effective immunotherapies are efficacious due to their anti-cancer and/or immune modulatory mechanisms. We reassess why checkpoint inhibitors (CPIs) are not equal. We reconsider whether one can attribute the utility of immunotherapy to specific cancer subtypes and its futility to certain tumor/immune compartments, components, and microenvironments. We propose ways and means to advance immunotherapy beyond CPIs by combining anti-PD1/L1 with various other treatment modalities according to an appropriate scientific theory, e.g., stem cell origin of cancer, and based on available clinical evidence, e.g., randomized clinical trials. We predict that a stem cell theory of cancer will facilitate the design of better and safer immunotherapy with improved selection of its use for the right patient with the right cancer type at the right time to optimize clinical benefits and minimize potential toxic effects and complications.

Initial Experience with Hybrid Partial Nephrectomy with Ultrasound-guided Balloon Catheter Occlusion of the Renal Artery for Recurrent Renal Tumors

Repeat partial nephrectomy (PN) is an effective treatment in improving the prognosis for patients with recurrent renal cancer after initial PN. However, salvage PN (sPN) is inevitably associated with a higher rate of complications, largely because of intraperitoneal adhesions and fibrosis. Here we describe three initial cases for which recurrent renal tumors were treated with a novel minimally invasive approach, namely Ultrasound-guided Renal Artery Balloon catheter Occluded Hybrid Partial Nephrectomy (UBo-HPN).With laparoscopic ultrasound (LUS) guiding a Fogarty catheter to occlude the arterial blood supply, dissection of the renal hilum and most of the abdominal cavity can be avoided. UBo-HPN was successfully performed in three patients. One case of postoperative fever (Clavien-Dindo grade II) occurred, with no other complications. The mean operative time was 106 min, with a mean warm ischemia time of 21 min. UBo-HPN may be considered a safe and effective alternative for sPN, with a minimally invasive surgical footprint and better surgical outcomes.

Mathematical and Machine Learning Models of Renal Cell Carcinoma: A Review

This review explores the multifaceted landscape of renal cell carcinoma (RCC) by delving into both mechanistic and machine learning models. While machine learning models leverage patients' gene expression and clinical data through a variety of techniques to predict patients' outcomes, mechanistic models focus on investigating cells' and molecules' interactions within RCC tumors. These interactions are notably centered around immune cells, cytokines, tumor cells, and the development of lung metastases. The insights gained from both machine learning and mechanistic models encompass critical aspects such as signature gene identification, sensitive interactions in the tumors' microenvironments, metastasis development in other organs, and the assessment of survival probabilities. By reviewing the models of RCC, this study aims to shed light on opportunities for the integration of machine learning and mechanistic modeling approaches for treatment optimization and the identification of specific targets, all of which are essential for enhancing patient outcomes.