Survival and prognostic stratification of 670 patients with advanced renal cell carcinoma

Design and Rationale of the Outcomes Database to Prospectively Assess the Changing Therapy Landscape in Renal Cell Carcinoma Registry: A Multi-institutional, Prospective Study of Patients with Metastatic Renal Cell Carcinoma

Introduction and hypotheses

The Outcomes Database to prospectivelY aSSEss the changing TherapY landscape in Renal Cell Carcinoma (ODYSSEY RCC) Registry is a large, nationally representative prospective registry of patients with metastatic renal cell carcinoma (mRCC) that aims to provide a real-world picture of longitudinal clinical management and patient experiences that impact clinical outcomes. The primary goal of this study is to understand the cancer management and health-related quality of life in patients with mRCC in routine real-world clinical practice in the USA.

Design

This is an observational, phase 4 study with planned enrollment of up to 800 patients aged ≥19 yr with mRCC in the USA. Patients will be identified through electronic health record (EHR) data from the PCORnet network of sites for care received at collaborating sites. A unique aspect of the study is the multiple data sources that will be linked to the EHR data. These include: (1) Medicare claims data, (2) laboratory results, (3) tissue specimens, (4) radiographic images, and (5) patient-reported outcomes, physicians' treatment selection, and discontinuation surveys.

Protocol overview

We created a novel data resource that can inform patient care. Investigators have the opportunity to use these to study novel research questions after submitting an ancillary proposal and upon approval of the executive committee. Limitations include the potential for selection bias, residual confounding, and missing information.

Summary

The ODYSSEY Registry will provide an advanced data resource that can examine numerous clinical questions related to patient and physician choice, and support methodological research related to omics and artificial intelligence.

Patient summary

Cancer medications and treatments are changing rapidly. Collecting data on real-world clinical practice and patient-answered questionnaires will help us better understand cancer management and health-related quality of life while receiving metastatic renal cell carcinoma-specific treatment.

Real-world experience of second-line axitinib in metastatic renal cell carcinoma: analysis of the Swedish population

Aim: Assess the time-to-treatment discontinuation (TTD) and overall survival (OS) in a Swedish metastatic renal cell carcinoma (mRCC) nationwide cohort who received second-line axitinib. Methods: Retrospective analysis of 110 patients with mRCC treated with second-line axitinib in Sweden (2012-2019). Patients included in the study received axitinib after mainly first-line sunitinib or pazopanib. Results: The median (95% CI) TTD of patients who received second-line axitinib was 5.2 (3.7-6.1) months with 6 (5.5%) patients still receiving treatment at the time of analysis. Median (95% CI) OS was 12.2 (7.7-14.2) months. Conclusion: The results are consistent with previous findings in mRCC and add to the evidence demonstrating efficacy of second-line axitinib, after failure of a prior anti-angiogenic therapy in a real-world setting.Clinical Trial Registration: NCT04669366 (ClinicalTrials.gov).

STAC3 as a poor prognostic biomarker in renal clear cell carcinoma: relationship with immune infiltration

Calcium ions (Ca2+) are crucial in tumorigenesis and progression, with their elevated levels indicating a negative prognosis in Kidney Renal Clear Cell Carcinoma (KIRC). The influence of genes regulating calcium ions on the survival outcomes of KIRC patients and their interaction with the tumor's immune microenvironment is yet to be fully understood. This study analyzed gene expression data from KIRC tumor and adjacent non-tumor tissues using the TCGA-KIRC dataset to pinpoint genes that are differentially expressed in KIRC. Intersection of these genes with those regulating calcium ions highlighted specific calcium ion-regulating genes that exhibit differential expression in KIRC. Subsequently, prognostic risk models were developed using univariate Cox and LASSO-Cox regression analyses to verify their diagnostic precision. Additionally, the study investigated the correlation between tumor immunity and KIRC patient outcomes, assessing the contribution of STAC3 genes to tumor immunity. Further exploration entailed SSGASE, single-cell analysis, pseudotime analysis and both in vivo and in vitro experiments to evaluate STAC3's role in tumor immunity and progression. Notably, STAC3 was significantly overexpressed in tumor specimens and positively correlated with the degree of malignancy of KIRC, affecting patients' prognosis. Elevated STAC3 expression correlated with enhanced immune infiltration in KIRC tumors. Furthermore, silencing STAC3 curtailed KIRC cell proliferation, migration, invasion, and stemness properties. Experimental models in mice confirmed that STAC3 knockdown led to a reduction in tumor growth. Elevated STAC3 expression is intricately linked with immune infiltration in KIRC tumors, as well as with the aggressive biological behaviors of tumor cells, including their proliferation, migration, and invasion. Targeting STAC3 presents a promising strategy to augment the efficacy of current therapeutic approaches and to better the survival outcomes of patients with KIRC.

Immune landscape of renal cell carcinoma with metastasis to the pancreas

INTRODUCTION

Clear cell Renal Cell Carcinoma (ccRCC) has a poor prognosis once metastatic. However, certain metastatic sites have been reported to have a different impact on the patient prognosis. For example, patients with pancreatic metastases have a much more favorable prognosis than those with metastases to other organs. The biological basis for this observation remains poorly understood. The aim of this study was to characterize the immune landscape of pancreatic metastases and the corresponding primary tumors in order to identify possible immunological features that correlate with disease biology.

PATIENTS AND METHODS

A detailed assessment of immune cell populations was performed using a total of 1,700 microscopic images from ccRCCs from 11 patients, their corresponding pancreatic metastases and ccRCCs from 10 patients without pancreatic metastases. Tumor specimens were stained for CD45, CD8, CD163 and FOXP3 and the densities of the respective immune cells were assessed semiquantitatively in the intratumoral and extratumoral compartment. Multispectral imaging was performed in selected tumors.

RESULTS

We found that pancreatic metastases show the lowest intratumoral infiltration with CD8+ cytotoxic T lymphocytes of all tumor specimens analyzed. The frequency of CD8+ lymphocytes was on 1.9 fold lower in pancreatic metastases (median density 8.3 cells per field of view [FOV] = 1.23 mm2) when compared to the corresponding primary tumor (15.6 cells per FOV, P = 0.0002) and more than 3-fold lower when compared to ccRCCs without pancreatic metastases (27.2 cells per FOV, P = 0.0012). There was also a significantly reduced intratumoral infiltration with immunosuppressive FOXP3+ lymphocytes in pancreatic metastases (2.6 cells per FOV, P = 0.009) and corresponding primary tumors (2 cells per FOV, P = 0.028) when compared to ccRCCs without pancreatic metastases (5.6 cells per FOV).

CONCLUSIONS

In this proof-of-concept study, we show that pancreatic metastases of ccRCC present with unique immunological features including a low intratumoral density of CD8+ and FOXP3+ lymphocytes. The low counts of CD8+ and FOXP3+ lymphocytes may reflect less aggressive features of ccRCC with pancreatic metastasis that may result in a more favorable patient prognosis.

Feasibility of a Smartphone Application for Education and Symptom Management of Patients With Renal Cell Carcinoma on Combined Tyrosine Kinase and Immune Checkpoint Inhibitors

PURPOSE

Patients with advanced renal cell carcinoma (RCC) face significant challenges, stemming both from the complexities of the disease itself and the adverse effects of treatments. This study evaluated the feasibility and acceptability of a mobile health (mHealth) application tailored for education and symptom management of patients with advanced RCC receiving combined immune checkpoint inhibitor and tyrosine kinase inhibitor (ICI-TKI) therapy.

METHODS

The primary end points were acceptability and feasibility. Acceptability was defined as the proportion of patients approached who consented to participate, setting a benchmark of at least 50% for this metric. Feasibility was gauged by the completion rate of the intervention among the participants; it required at least 50% of participants to fully complete the intervention and at least 70% to finish half of the administered questionnaires. The secondary end points included knowledge assessment and patient-reported outcomes (PROs). PROs were evaluated using validated instruments. To discern the changes between pre- and post-educational module quiz scores, we used the Wilcoxon signed-rank test. Time-course data of PROs were visualized using line plots and then compared using paired t-tests.

RESULTS

From November 2022 to July 2023, 20 of 22 (90%) patients approached for the study consented and enrolled. Of the enrolled patients, 60% completed all questionnaires and knowledge assessments at every time point and 75% completed at least half of the surveys and questionnaires. Significant pre/post differences were noted in two of six quizzes in the knowledge assessment. This study population did not experience a significant change in PRO scores after starting therapy.

CONCLUSION

The mHealth application designed for education and symptom management in patients with advanced RCC undergoing combination ICI-TKI has proven to be both acceptable and feasible, meeting previous research benchmarks.

Al-Shammari Y, Soliman Y, Rezq H, Abdelazeem B, Kunadi A. The efficacy and safety of cabozantinib in patients with metastatic or advanced renal cell carcinoma: a systematic review and meta-analysis

Background

Cabozantinib, a new first-line treatment for advanced renal cell carcinoma (aRCC), targets essential tyrosine kinases and outperforms the established comparator (sunitinib) in various efficacy outcomes. This systematic review and meta-analysis aimed to assess the efficacy and safety of cabozantinib compared to other aRCC treatments.

Methods

Following PRISMA and Cochrane guidelines, our protocol was registered in PROSPERO. A systematic search, without date limits, was conducted on PubMed, Cochrane, Web of Science, and EMBASE until October 8, 2023. Data extraction encompassed study details, baseline information, and outcomes. Hazard ratios (HR) and risk ratios (RR) with 95% confidence intervals were employed for each outcome, and a random-effects model was applied to account for expected heterogeneity.

Results

Three studies, encompassing 967 patients, were included in our analysis. In terms of efficacy, the pooled rate for overall survival significantly favored cabozantinib. However, in subgroup analyses, cabozantinib was only statistically superior to everolimus. For progression-free survival and tumor objective response rate, cabozantinib outperformed both everolimus and sunitinib. In adverse events, compared to sunitinib, cabozantinib exhibited inferiority in nearly all evaluated aspects, except for nausea and stomatitis, which showed no difference between the two groups. Conversely, it demonstrated a comparable risk profile with everolimus across various side effects.

Conclusion

Cabozantinib shows significant efficacy in extending overall survival, progression-free survival, and tumor objective response rate despite a potentially higher risk of adverse events compared to sunitinib. These findings support cabozantinib as a first-line therapy for aRCC, either as an initial treatment or after prior VEGFR-targeted therapies.

MMP1, IL-1β, sTNFR-1, and IL-6 are prognostic factors for patients with unresectable or metastatic renal cell carcinoma treated with immune checkpoint inhibitors

BACKGROUND

Few studies have reported reliable prognostic factors for immune checkpoint inhibitors (ICIs) in renal cell carcinoma (RCC). Therefore, we investigated prognostic factors in patients treated with ICIs for unresectable or metastatic RCC.

METHODS

We included 43 patients who received ICI treatment for RCC between January 2018 and October 2021. Blood samples were drawn before treatment, and 73 soluble factors in the plasma were analyzed using a bead-based multiplex assay. We examined factors associated with progression-free survival (PFS), overall survival (OS), and immune-related adverse events (irAE) using the Chi-squared test, Kaplan-Meier method, and the COX proportional hazards model.

RESULTS

Patients exhibited a median PFS and OS of 212 and 783 days, respectively. Significant differences in both PFS and OS were observed for MMP1 (PFS, p < 0.001; OS, p = 0.003), IL-1β (PFS, p = 0.021; OS, p = 0.008), sTNFR-1 (PFS, p = 0.017; OS, p = 0.005), and IL-6 (PFS, p = 0.004; OS, p < 0.001). Multivariate analysis revealed significant differences in PFS for MMP1 (hazard ratio [HR] 5.305, 95% confidence interval [CI], 1.648-17.082; p = 0.005) and OS for IL-6 (HR 23.876, 95% CI, 3.426-166.386; p = 0.001). Moreover, 26 patients experienced irAE, leading to ICI discontinuation or withdrawal. MMP1 was significantly associated with irAE (p = 0.039).

CONCLUSION

MMP1 may be associated with severe irAE, and MMP1, IL-1β, sTNFR-1, and IL-6 could serve as prognostic factors in unresectable or metastatic RCC treated with ICIs. MMP1 and IL-6 were independent predictors of PFS and OS, respectively. Thus, inhibiting these soluble factors may be promising for enhancing antitumor responses in patients with RCC treated with ICIs.

Demographic Characteristics and Treatment Outcomes of Advanced Renal Cell Carcinoma With Clear Cell Histology: A Single-Center Experience From India

Background Treatment of metastatic renal cell cancer (mRCC) has revolutionized with the introduction of anti-VEGF tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs). There is limited data in the literature on the outcomes of Indian patients treated with TKI. Here, we report the outcome of mRCC treated with first-line TKI in a resource-poor setting. Material and methods This is a single-center retrospective study of clear cell mRCC treated with first-line TKI from June 2012 to December 2022. Demographic characteristics and treatment details, including outcome data, were captured from electronic medical records. Patients who received at least one week of therapy were eligible for survival analysis. Results A total of 345 patients with metastatic clear cell histology were analyzed, with a median age of 61 years (range: 20-84 years). One hundred and eighty patients (52%) underwent nephrectomy before systemic therapy. The majority received pazopanib (257 patients, 75%), followed by sunitinib (36 patients, 10%) and cabozantinib (21 patients, 6%); 145 (45%) patients required dose interruption, and 143 (43%) required dose modification of TKI for adverse events. After a median follow-up of 44 months, the median progression-free survival (PFS) was 20.3 months (95% CI: 17.8-24.8), and the median overall survival (OS) was 22.7 months (95% CI: 18.8-28.3). In the poor-risk International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) group, no prior nephrectomy emerged as an independent poor-risk factor for both PFS and OS in multivariate analysis. Conclusion This is the largest single-center cohort of clear cell mRCC from Asia. Median PFS was 20.3 months with predominantly TKI monotherapy. In the poor-risk IMDC group, no prior nephrectomy emerged as an independent poor-risk factor for both PFS and OS.

Beyond the knife: strategic patient selection for cytoreductive nephrectomy

PURPOSE OF REVIEW

To evaluate the current role of cytoreductive nephrectomy (CN) in metastatic renal cell carcinoma (mRCC) within the context of evolving treatment paradigms, focusing on implications for patient selection.

RECENT FINDINGS

Two randomized trials failed to show significant benefits from CN for intermediate and poor-risk patients undergoing targeted therapy. Despite this, subgroup analysis and retrospective data suggest potential benefits for a subset of good and intermediate-risk patients. Although currently used risk stratification tools guide CN eligibility, they have limitations, including, subjectivity, perioperative variability, and missing validation. Deferred CN may benefit patients responding to systemic treatment, whereas other patients may benefit from upfront CN. Emerging data supports the value of CN with immune checkpoint inhibitors (ICI) in selected patients, emphasizing the need for ongoing trials in the ICI era.

SUMMARY

The role and timing of CN in mRCC have evolved across therapeutic eras. Although awaiting prospective evidence in the current era of ICI, CN still has a role in the therapeutic approach for a subset of patients. The decision to recommend CN must be personalized and involve multidisciplinary discussions considering both patient- and tumor-related factors.

Can We Predict the Grade of Clear Cell Renal Cell Carcinoma from Houns-Field Unit of Renal Lesion on Computerized Tomography Scan, a Retrospective Cross-Sectional Study

Introduction

Renal cell carcinoma (RCC) is a type of urological malignancy that affects approximately 2% of the global population. Imaging modalities, especially computed tomography (CT) scanning, play a critical role in diagnosing RCC. In this study, we investigated whether there is a relationship between tumour grade of clear cell RCC and HU values of renal lesions on CT scan performed before operation.

Materials and Methods

We conducted a retrospective analysis of 123 patients who underwent radical or partial (open or laparoscopic) nephrectomy for clear cell RCC between January 2017 and January 2021. Post-operation histopathological grades were recorded according to World Health Organization (WHO)/International Society of Urological Pathology (ISUP) 2016 grading system and divided into low grade (includes grade 1 and 2) and high grade (grade 3 and 4), and their links to age, sex, smoking habits, tumour size, and HUs of renal lesions were evaluated.

Results

The mean age of the patients studied was 63.02 years old. About 56.9% of the patients were low grade (grade 1 or grade 2), while 43.1% were high grade (grade 3 or 4). The mean tumour size was 6.31 cm. There were no significant differences in tumour grade according to age, sex, or smoking habits. We found a significant relation between tumour grade and HU in the pre-contrast and nephrogenic phases, with p values of 0.001 and 0.037, respectively. On the other hand, there was no significant relation linking the tumour grade to the difference in HU between these phases, where there was a p value of 0.641.

Conclusion

HU in the pre-contrast and nephrogenic phases in addition to tumour size on CT scan have a significant relation to clear cell RCC grade.

The Selection for Cytoreductive Nephrectomy (SCREEN) Score: Improving Surgical Risk Stratification by Integrating Common Radiographic Features

BACKGROUND

Careful patient selection is critical when considering cytoreductive nephrectomy (CN) for metastatic renal cell carcinoma (mRCC) but few studies have investigated the prognostic value of radiologic features that measure tumor burden.

OBJECTIVE

To develop a prognostic model to improve CN selection with integration of common radiologic features with known prognostic factors associated with mortality in the first year following surgery.

DESIGN, SETTINGS, AND PARTICIPANTS

Data were analyzed for consecutive patients with mRCC treated with upfront CN at five institutions from 2006 to 2017. Univariable and multivariable models were used to evaluate radiographic features and known risk factors for associations with overall survival. Relevant factors were used to create the SCREEN model and compared to the International mRCC Database Consortium (IMDC) model for predictive accuracy and clinical usefulness.

RESULTS AND LIMITATIONS

A total of 914 patients with mRCC were treated with upfront CN during the study period. Seven independently predictive variables were used in the SCREEN score: three or more metastatic sites, total metastatic tumor burden ≥5 cm, bone metastasis, systemic symptoms, low serum hemoglobin, low serum albumin, and neutrophil/lymphocyte ratio ≥4. Predictive accuracy measured as the area under the receiver operating characteristic curves was 0.76 for the SCREEN score and 0.55 for the IMDC model. Decision curve analysis showed that the SCREEN model was useful beyond the IMDC classifier for threshold first-year mortality probabilities between 15% and 70%.

CONCLUSIONS

The SCREEN score had higher predictive accuracy for first-year mortality compared to the IMDC scheme in a multi-institutional cohort and may be used to improve CN selection.

PATIENT SUMMARY

This study provides a model to improve selection of patients with metastatic kidney cancer who may benefit from surgical removal of the primary kidney tumor. We found that radiographic measurements of the tumor burden predicted the risk of death in the first year after surgery. The model can be used to improve decision-making by these patients and their physicians.

The Validity of Patient-Reported Outcome Measures of Quality of Life in Palliative Care: A Systematic Review

Importance: A recent systematic review and meta-analysis found that palliative care was not associated with improvement in quality of life (QOL) in terminal noncancer illness. Among potential reasons for a null effect, it is unclear if patient-reported outcome measures (PROMs) measuring QOL were derived or validated among populations with advanced life-limiting illness (ALLI). Objective: To systematically review the derivation and validation of QOL PROMs from a recent meta-analysis of randomized controlled trials (RCT) of palliative care interventions in people with terminal noncancer illness. Evidence Review: EMBASE, MEDLINE, and PsycINFO were searched from inception to January 8, 2023 for primary validation studies of QOL PROMs in populations with ALLI, defined as adults with a progressive terminal condition and an estimated median survival of less than or equal to one year. The primary outcome was the proportion of PROMs that were derived or validated in ≥1 ALLI population. Findings: Twenty-one unique studies of derivation (n = 13) and validation (n = 11, 3 studies evaluated both) provided data on 9657 participants (mean age 63 years, 50% female) across 15 unique QOL PROMs and subscales. Among studies of validation, 9 were in people with cancer (n = 2289, n = 5 PROMs), 1 in neurodegenerative disease (n = 23, n = 1 PROM), and 1 with mixed diseases (n = 248, n = 1 PROM). Across 15 QOL PROMs and subscales, 47% (n = 7) were derived or validated in an ALLI population. The majority of these seven PROMs were exclusively derived or validated among people with cancer (57%, n = 4). QOL PROMs such as Quality of Life at End of Life, EuroQoL-5 Dimension 5-level, and 36-item Short Form Survey demonstrated validity in more than one terminal noncancer illness. Conclusions: Most QOL PROMs that measured the effect of palliative care on QOL in RCTs were neither derived nor validated in an ALLI population. These findings raise questions about the inferences that palliative care does not improve QOL among people with terminal noncancer illness.

Sunitinib for Metastatic Renal Cell Carcinoma: Real-World Data from the STAR-TOR Registry and Detailed Literature Review

INTRODUCTION

We evaluated the effectiveness and safety profile of the tyrosine kinase inhibitor sunitinib in patients with advanced or metastatic renal cell carcinoma (a/mRCC) in a real-world setting.

METHODS

We analyzed data of adult a/mRCC patients treated with sunitinib. Data were derived from the German non-interventional post-approval multicenter STAR-TOR registry (NCT00700258). Progression-free survival (PFS), overall survival (OS), and adverse events (AEs) were evaluated using descriptive statistics and survival analyses for the entire cohort and patient subgroups.

RESULTS

A total of 116 study sites recruited 702 patients treated with sunitinib (73.1% male; median age 68.0 years; median Karnofsky index 90%) between November 2010 and May 2020. The most frequent histological subtype was clear cell RCC (81.6%). Sunitinib was administered as first-line treatment in 83.5%, as second line in 11.7%, and as third line or beyond in 4.8% of the patients. Drug-related AEs and serious AEs were reported in 66.3% and 13.9% of the patients, respectively (most common AE: gastrointestinal disorders; 39.7% of all patients).

CONCLUSIONS

This study adds further real-world evidence of the persisting relevance of sunitinib for patients with a/mRCC who cannot receive or tolerate immune checkpoint inhibitors. The study population includes a high proportion of patients with unfavorable MSKCC poor-risk score, but shows still good PFS and OS results, while the drug demonstrates a favorable safety profile. The STAR-TOR registry is also registered in the database of US library of medicine (NCT00700258).

Construction of a 12-Gene Prognostic Risk Model and Tumor Immune Microenvironment Analysis Based on the Clear Cell Renal Cell Carcinoma Model

OBJECTIVES

Accurate survival predictions and early interventional therapy are crucial for people with clear cell renal cell carcinoma (ccRCC).

METHODS

In this retrospective study, we identified differentially expressed immune-related (DE-IRGs) and oncogenic (DE-OGs) genes from The Cancer Genome Atlas (TCGA) dataset to construct a prognostic risk model using univariate Cox regression and least absolute shrinkage and selection operator (LASSO) analysis. We compared the immunogenomic characterization between the high- and low-risk patients in the TCGA and the PUCH cohort, including the immune cell infiltration level, immune score, immune checkpoint, and T-effector cell- and interferon (IFN)-γ-related gene expression.

RESULTS

A prognostic risk model was constructed based on 9 DE-IRGs and 3 DE-OGs and validated in the training and testing TCGA datasets. The high-risk group exhibited significantly poor overall survival compared with the low-risk group in the training (P < 0.0001), testing (P = 0.016), and total (P < 0.0001) datasets. The prognostic risk model provided accurate predictive value for ccRCC prognosis in all datasets. Decision curve analysis revealed that the nomogram showed the best net benefit for the 1-, 3-, and 5-year risk predictions. Immunogenomic analyses of the TCGA and PUCH cohorts showed higher immune cell infiltration levels, immune scores, immune checkpoint, and T-effector cell- and IFN-γ-related cytotoxic gene expression in the high-risk group than in the low-risk group.

CONCLUSION

The 12-gene prognostic risk model can reliably predict overall survival outcomes and is strongly associated with the tumor immune microenvironment of ccRCC.

Pharmacokinetics and bioequivalence of sunitinib and Sutent® in Chinese healthy subjects: an open-label, randomized, crossover study

Purpose: The purpose of this study was to examine the pharmacokinetics (PK), bioequivalence and safety of generic sunitinib and its original product Sutent® in healthy Chinese subjects through a phase-I clinical trial. Methods: The study selected two groups of 24 healthy Chinese subjects in a 1:1 ratio through random allocation. Each participant received either 12.5 mg of sunitinib or Sutent® per cycle. A total of 15 different time points were employed for blood sample collection during each cycle. Furthermore, a comprehensive assessment of the drugs' safety was consistently maintained throughout the trial. Results: The average adjusted geometric mean ratios (GMR) (90% CI) for the primary PK parameters Cmax, AUC0-t and AUC0-∞ were 97.04% (93.06%-101.19%), 98.45% (93.27%-103.91%) and 98.22% (93.15%-103.56%), respectively. The adjusted GMRs for essential pharmacokinetic (PK) parameters all met the requirements for bioequivalence, with values within the acceptable range of 80%-125%. In addition, the two drugs showed comparable results for the other PK parameters. These results indicate that the two drugs were bioequivalent. Furthermore, both drugs showed well safety. Conclusion: The research results proved that the PK and safety profiles of sunitinib in healthy Chinese subjects were comparable to those of Sutent®. These results advocate the clinical application of generic sunitinib as a potential alternative to original product Sutent® in the treatment of certain medical conditions.

Special Issue Editorial: Emerging Therapies in Renal Cell Carcinoma: The Road to a Cure?

In the past two decades, therapy development in the treatment of renal cell carcinoma has exploded [...].

Understanding and integrating cytoreductive nephrectomy with immune checkpoint inhibitors in the management of metastatic RCC

Cytoreductive nephrectomy became accepted as standard of care for selected patients with metastatic renal cell carcinoma (mRCC) because of improved survival observed in patients treated with cytoreductive nephrectomy in combination with interferon-α in two randomized clinical trials published in 2001. Over the past two decades, novel systemic therapies have shown higher treatment response rates and improved survival outcomes compared with interferon-α. During this rapid evolution of mRCC treatments, systemic therapies have been the primary focus of clinical trials. Results from multiple retrospective studies continue to suggest an overall survival benefit for selected patients treated with nephrectomy in combination with systemic mRCC treatments, with the notable exception of one debated clinical trial. The optimal timing for surgery is unknown, and proper patient selection remains crucial to improving surgical outcomes. As systemic therapies continue to evolve, clinicians have an increasing need to understand how to incorporate cytoreductive nephrectomy into the management of mRCC.

Exploring the role of natural bioactive molecules in genitourinary cancers: how far has research progressed?

The primary approaches to treat cancerous diseases include drug treatment, surgical procedures, biotherapy, and radiation therapy. Chemotherapy has been the primary treatment for cancer for a long time, but its main drawback is that it kills cancerous cells along with healthy ones, leading to deadly adverse health effects. However, genitourinary cancer has become a concern in recent years as it is more common in middle-aged people. So, researchers are trying to find possible therapeutic options from natural small molecules due to the many drawbacks associated with chemotherapy and other radiation-based therapies. Plenty of research was conducted regarding genitourinary cancer to determine the promising role of natural small molecules. So, this review focused on natural small molecules along with their potential therapeutic targets in the case of genitourinary cancers such as prostate cancer, renal cancer, bladder cancer, testicular cancer, and so on. Also, this review states some ongoing or completed clinical evidence in this regard.

PNI as a Potential Add-On Biomarker to Improve the IMDC Intermediate Prognostic Score

INTRODUCTION

This study aimed to assess the role of the adjusted PNI-IMDC risk scoring system in stratifying the intermediate group of metastatic RCC patients who received TKIS in the first-line setting.

METHODS

A total of 185 patients were included. The adjusted PNI and IMDC model was used to divide the intermediate group into two groups: intermediate PNI-high and intermediate PNI-low groups. The statistical data were analyzed using Kaplan-Meier and Cox regression analysis.

RESULTS

The results showed that the adjusted PNI-IMDC risk score, classic IMDC, and PNI had similar prognostic values. Adjusted PNI-IMDC risk score might be used for a more homogeneous differentiation of the classic intermediate group. On the other hand, multivariate analysis revealed that the presence of nephrectomy, adjusted favorable/intermediate (PNI-high) group, ECOG performance score, and presence of bone metastasis were independent predictors of OS.

CONCLUSIONS

Pre-treatment PNI, as a valuable and potential add-on biomarker to the adjusted PNI-IMDC classification model, can be helpful for establishing an improved prognostic model for intermediate group mRCC patients treated with first-line TKISs. Further validation studies are needed to clarify these findings.

Prognostic Models in Metastatic Renal Cell Carcinoma

As many new systemic therapy options have recently emerged, the standard of care for patients with metastatic renal cell carcinoma (mRCC) is gradually changing. The increasing complexity of treatment options requires more personalized treatment strategies. This evolution in the systemic therapy landscape comes with a need for validated stratification models that facilitate decision making and patient counseling for clinicians through a risk-adapted approach. This article summarizes the available evidence on risk stratification and prognostic models for mRCC, including the International mRCC Database Consortium and Memorial Sloan Kettering Cancer Center models, as well as their association with clinical outcomes.

2/1 dose schedule of sunitinib is superior than the 4/2 regimen for the first-line therapy of clear cell metastatic renal cell carcinoma - An Indian experience

BACKGROUND

Sunitinib remains the first-line treatment for favorable risk metastatic clear cell renal cell cancer (mccRCC). It was conventionally given in the 4/2 schedule; however, toxicity necessitated trying the 2/1 regimen. Regional variations in treatment response and toxicity are known, and there is no data from the Indian subcontinent about the outcomes of the alternative dosing schedule.

METHODS

Clinical records of all consecutive adult patients who received sunitinib as first-line therapy for histologically proven mccRCC following cytoreductive nephrectomy from 2010-2018 were reviewed. The primary objective was to determine the progression-free survival (PFS), and the secondary objectives were to evaluate the response rate (objective response rate and clinical benefit rate), toxicity, and overall survival. A list of variables having a biologically plausible association with outcome was drawn and multivariate inverse probability treatment weights (IPTW) analysis was done to determine the absolute effect size of dosing schedules on PFS in terms of "average treatment effect on the treated" and "potential outcome mean."

RESULTS

We found 2/1 schedule to be independently associated with higher PFS on IPTW analysis such that if every patient in the subpopulation received sunitinib by the 2/1 schedule, the average time to progression was estimated to be higher by 6.1 months than the 4/2 schedule. We also found 2/1 group to have a lower incidence than the 4/2 group for nearly all ≥ grade 3 adverse effects. Other secondary outcomes were comparable between both treatment groups.

CONCLUSION

Sunitinib should be given via the 2/1 schedule in Indian patients.

Late adverse events to iodinated contrast media in patients treated with IL-2: a safety report from the Danish Renal Carcinoma Group (DaRenCa) study - 1

BACKGROUND

A higher incidence of late adverse events (LAEs) to iodinated contrast media in interleukin-2 (IL-2)-treated patients has been reported.

PURPOSE

To assess the incidence of LAEs after administration of iodinated contrast media in patients with metastatic renal cell carcinoma (mRCC) treated with IL-2.

MATERIAL AND METHODS

Patients were randomized to treatment with IL-2 and interferon-α with/without bevacizumab in the Danish Renal Carcinoma Group study - 1. Patients underwent a computed tomography (CT) scan at baseline, at one month, at three months, and every third month until RECIST 1.1 defined progression. LAEs due to iodinated contrast media were systematically registered according to the Common Terminology Criteria for Adverse Events classification.

RESULTS

In total, 89 patients were included and underwent a total of 507 contrast-enhanced CT scans. An overall incidence of 46 (9.1%) LAEs was observed in 38 of 89 (42.7%) patients; 3 LAEs at baseline (3.4% of all baseline scans), 39 (13.9%) LAEs during IL-2-based therapies, and 4 (2.9%) LAEs after termination of IL-based therapies. There was no difference in progression-free survival, overall survival, and treatment response in patients experiencing LAEs compared to patients without LAEs (P = 0.2, P = 0.5, and P = 0.6, respectively).

CONCLUSION

Patients with mRCC demonstrated a higher incidence of LAEs after administration of iodinated contrast during ongoing IL-2 therapy, indicating that iodinated contrast media may cause a recall phenomenon of IL-2 toxicities in patients with mRCC. Treatment with IL-2 should not be a contraindication for contrast-enhanced scans in patients with mRCC but expertise and vigilance are required.

Incidence and clinical relevance of paraneoplastic syndromes in patients with renal cell carcinoma

BACKGROUND

Paraneoplastic syndromes (PNS) are defined as the signs and symptoms attributed to cytokines or hormones released from a tumor or a patient's immune system. PNS have been reported with many cancers for decades and data supporting their relevance in renal cell carcinoma (RCC) are largely historical. The widespread use of electronic medical record (EMR) systems provides a more robust method to capture data. The objective of this study was to establish contemporary data regarding the incidence and relevance of PNS in patients undergoing nephrectomy for suspected RCC.

METHODS

In this retrospective single-institution study, 851 patients undergoing nephrectomy for suspected RCC between 2011 and 2018 were assessed for the presence or absence of PNS as defined by laboratory abnormalities. Factors associated with PNS and with all-cause mortality were examined.

RESULTS

The incidence of PNS was 33.1% among 851 patients prior to nephrectomy. The most prevalent PNS were anemia (22.4%), thrombocytosis (7.5%), and elevated C-reactive protein (CRP) (7.4%). PNS were more common in women (39.2% vs. 29.4%, p = 0.0032) and higher stage RCC (31.1% of stage I vs. 54.2% of stage IV, p = 0.0036). Factors associated with the presence of PNS in multivariable analysis included female gender, high comorbidity, and stage IV RCC. Prenephrectomy PNS were associated with poorer survival in multivariable analysis (HR: 2.12, p = 0.0002). Resolution of PNS occurred in 52.1% of patients after nephrectomy, including 55.2% with stage I to III and 38.5% with stage IV RCC (p = 0.10).

CONCLUSIONS

Using EMR data, laboratory evidence of PNS was present in one-third of a contemporary cohort of patients undergoing nephrectomy, with >50% of PNS resolving after surgery. Consistent with prior reports, PNS are more common in higher-stage RCC and are associated with poorer survival in RCC patients.

Prognostic importance of SUVmax values evaluated by 18F-FDG-PET/CT before nivolumab treatment in patients with metastatic renal cell carcinoma

BACKGROUND

Nivolumab is a monoclonal antibody that binds to the programmed death-1 (PD-1) receptor and blocks its interaction with PD-L1 and PD-L2. High response rates have been achieved with its use in the treatment of metastatic renal cell carcinoma (mRCC). We aimed to determine a relationship between 18-Fluoro-2-Deoxy-D-Glucose Positron Emission Tomography/Computed Tomography (18F-FDG-PET/CT) performed before nivolumab treatment and treatment-related survival.

METHODS

Between 2014 and 2021, 32 patients who received nivolumab and had pre-treatment 18F-FDG-PET/CT evaluation were included in this retrospective study. The total SUVmax (sum of SUVmax) of all tumoral foci and the lesion with the highest SUVmax value were recorded. The relationship of these values with progression-free survival (PFS) and overall survival (OS) was evaluated.

RESULTS

The median highest SUVmax and sum of SUVmax values were found as 14.4 and 41.4, respectively. PFS and OS were longer in the group with a sum of SUVmax value below 41.4 compared to the group with a higher group (OS, median 9.52 vs. 4.2 months [P=0.018]; PFS, median 9.6 vs. 3 months [P=0.003], respectively). In the group with the highest SUVmax value below 14.4, PFS was evaluated as statistically significant compared to the higher group (PFS, median 16.74 vs. 3.3 months [P=0.004]), while OS was not found to be statistically significant (OS, median 25.45 vs. 16.74 months (P=0.110)).

CONCLUSIONS

Our study showed that there might be a relationship between SUVmax values and PFS and OS. The SUVmax values before nivolumab treatment can be used to predict prognosis and survival in mRCC patients.

A Podcast Discussion on the Current Treatment Landscape for Renal Cell Carcinoma

During the last 15 years, tremendous efforts have been made in the medical treatment of metastatic renal cell carcinoma (mRCC). Immune-oncological (IO) combinations are the current standard of care in the first-line setting of mRCC. Here, the current phase 3 trials CM214 (nivolumab/ipilimumab vs. sunitinib), KN426 (axitinib/pembrolizumab vs. sunitinib), Javelin-ren-101 (axitinib/avelumab vs. sunitinib), CM9ER (cabozantinib/nivolumab vs. sunitinib), and CLEAR (lenvatinib/pembrolizumab vs. sunitinib) were discussed. In the mentioned phase 3 trials, primary and secondary endpoints were discussed. Strengths and weaknesses of each trial were reflected in terms of overall survival, progression-free survival, objective remission, health quality of life, and safety. Reflecting on the data, as well as the current ESMO guidelines, we discuss choosing the appropriate medical treatment for patients' individualized treatment journey and relay the strength and weaknesses of each combination-starting with the appropriate first-line therapy.

Are markers of survival associated with perioperative outcomes for tumor thrombectomy patients?

INTRODUCTION

Despite modern advances in surgical and perioperative technologies, management of renal cell carcinoma (RCC) with tumor thrombus (TT) is a morbid procedure that necessitates careful patient selection. It is not known whether established prognostic models for metastatic RCC are suitable prognostic tools for more immediate perioperative outcomes in patients with RCC with TT. We evaluated if established risk models for cytoreductive nephrectomy, as a potential extension of their purpose-built use, are associated with immediate perioperative outcomes in patients undergoing nephrectomy and tumor thrombectomy.

METHODS

Perioperative outcomes of patients who underwent radical nephrectomy and tumor thrombectomy for RCC were compared to presences of established predictors of long-term outcomes from prior risk models individually and as stratified by risk grouping (International Metastatic Renal-Cell Carcinoma Database Consortium [IMDC], Memorial Sloan Kettering Cancer Center [MSKCC], M.D. Anderson Cancer Center [MDACC], and Moffitt Cancer Center [MCC]). Wilcoxon rank-sum test or the Kruskal-Wallis test compared continuous variables and the chi-square test or Fisher's exact test compared categorical variables.

RESULTS

Fifty-five patients were analyzed with 17 (30.9%) being cytoreductive. Eighteen (32.7%) patients had a level III or higher TT. Individually, preoperative variables were inconsistently associated with perioperative outcomes. Poorer risk patients per the IMDC model had more major postoperative complications (Clavien-Dindo grade≥3, P = 0.008). For the MSKCC model, poorer risk patients had increased intraoperative estimated blood loss (EBL), longer length of stay (LOS), more major postoperative complications, and more likely to discharge to a rehabilitation facility (P < 0.05). Less favorable risk patients per MDACC model had increased LOS (P = 0.038). Poorer risk patients per the MCC model had increased EBL, LOS, major postoperative complications, and 30-day hospital readmissions (P < 0.05).

CONCLUSION

Overall, cytoreductive risks models were heterogeneously associated with perioperative outcomes in patients undergoing nephrectomy and tumor thrombectomy. Of available models, the MCC model is associated with more perioperative outcomes including EBL, LOS, major postoperative complications, and readmissions within 30 days when compared to the IMDC, MSKCC, and MDACC models.

Second-Line Treatment of Metastatic Renal Cell Carcinoma in the Era of Predictive Biomarkers

BACKGROUND

Over the past few years, significant advancements have been achieved in the front-line treatment of metastatic renal cell carcinomas (mRCCs). However, most patients will eventually encounter disease progression during this front-line treatment and require further therapeutic options. While treatment choices for mRCCs patients are determined by established risk classification models, knowledge of prognostic factors in subsequent line therapy is essential in patient care.

METHODS

In this retrospective, single-center study, patients diagnosed with mRCCs who experienced progression after first-line therapy were enrolled. Fifteen factors were analyzed for their prognostic impact on survival using the Kaplan-Meier method and the Cox proportional hazards model.

RESULTS

Poor International Metastatic RCCs Database Consortium (IMDC) and Memorial Sloan-Kettering Cancer Center (MSKCC) risk scores, NLR value > 3, clinical benefit < 3 months from a therapeutic line, and the presence of sarcomatoid differentiation were found to be poor independent prognostic factors for shortened overall survival.

CONCLUSIONS

This study provided new insights into the identification of potential prognostic parameters for late-line treatment in mRCCs. The results indicated that good IMDC and MSKCC prognostic scores are effective in second-line therapy. Moreover, patients with NLR < 3, no sarcomatoid differentiation, and clinical benefit > 3 months experienced significantly longer overall survival.

Factors affecting survival and prognosis in surgically treated patients with spinal metastases arising from renal cell carcinoma

BACKGROUND

The objective of this study was to explore the prognostic factors for renal cell carcinoma (RCC) patients with spinal metastasis who underwent surgical treatment in our hospital.

METHODS

We retrospectively analyzed the clinical data and survival status of 49 patients with spinal metastases arising from RCC. All patients with spinal metastases underwent surgical treatment. We analyzed a range of factors that may affect the prognosis of patients with RCC. Using Kaplan-Meier method to perform univariate analysis of the factors that might affect spine metastasis free survival (SMFS)and survival after spinal metastasis (OS) respectively. Establish Cox proportional hazards model to extract independent prognostic factors for SMFS and OS.

RESULTS

The mean time of SMFS was 27 months (median 8, range 0-180 months). The mean time of OS was 12.04 months (median 9, range 2-36 months). RCC with visceral metastasis (p = 0.001,HR 11.245,95%CI 2.824-44.776) and AJCC RCC Stage (p = 0.040,HR 2.809,95%CI 1.046-7.543) can significantly affect SMFS. Furthermore, WHO/ISUP Grade (p < 0.001, HR 2.787,95%CI 1.595-4.870), ECOG Score (p = 0.019, HR 0.305,95%CI 0.113-0.825) and multiple spinal metastases (p < 0.001, HR 0.077,95%CI 0.019-0.319) have significant effects on OS.

CONCLUSIONS

RCC with visceral metastasis and AJCC RCC Stage were independent prognostic factors for SMFS. WHO/ISUP Grade, ECOG Scores and multiple spinal metastases were independent prognostic factors for OS.

Immunogenicity in renal cell carcinoma: shifting focus to alternative sources of tumour-specific antigens

Renal cell carcinoma (RCC) comprises a group of malignancies arising from the kidney with unique tumour-specific antigen (TSA) signatures that can trigger cytotoxic immunity. Two classes of TSAs are now considered potential drivers of immunogenicity in RCC: small-scale insertions and deletions (INDELs) that result in coding frameshift mutations, and activation of human endogenous retroviruses. The presence of neoantigen-specific T cells is a hallmark of solid tumours with a high mutagenic burden, which typically have abundant TSAs owing to non-synonymous single nucleotide variations within the genome. However, RCC exhibits high cytotoxic T cell reactivity despite only having an intermediate non-synonymous single nucleotide variation mutational burden. Instead, RCC tumours have a high pan-cancer proportion of INDEL frameshift mutations, and coding frameshift INDELs are associated with high immunogenicity. Moreover, cytotoxic T cells in RCC subtypes seem to recognize tumour-specific endogenous retrovirus epitopes, whose presence is associated with clinical responses to immune checkpoint blockade therapy. Here, we review the distinct molecular landscapes in RCC that promote immunogenic responses, discuss clinical opportunities for discovery of biomarkers that can inform therapeutic immune checkpoint blockade strategies, and identify gaps in knowledge for future investigations.

Recent Advances in the Management of Clear Cell Renal Cell Carcinoma: Novel Biomarkers and Targeted Therapies

Renal cell carcinoma (RCC) belongs to a heterogenous cancer group arising from renal tubular epithelial cells. Among RCC subtypes, clear cell renal cell carcinoma (ccRCC) is the most common variant, characterized by high aggressiveness, invasiveness and metastatic potential, features that lead to poor prognosis and high mortality rate. In addition, diagnosis of kidney cancer is incidental in the majority of cases, and this results in a late diagnosis, when the stage of the disease is advanced and the tumor has already metastasized. Furthermore, ccRCC treatment is complicated by its strong resistance to chemo- and radiotherapy. Therefore, there is active ongoing research focused on identifying novel biomarkers which could be useful for assessing a better prognosis, as well as new molecules which could be used for targeted therapy. In this light, several novel targeted therapies have been shown to be effective in prolonging the overall survival of ccRCC patients. Thus, the aim of this review is to analyze the actual state-of-the-art on ccRCC diagnosis, prognosis and therapeutic options, while also reporting the recent advances in novel biomarker discoveries, which could be exploited for a better prognosis or for targeted therapy.

Revisiting mechanisms of resistance to immunotherapies in metastatic clear-cell renal-cell carcinoma

Renal-cell carcinoma (RCC) remains a leading cause of cancer-related mortality worldwide. Though newer therapeutic combinations of immune checkpoint inhibitors and targeted therapies have greatly improved outcomes, resistance to these therapies is becoming a challenge for long-term control. Mechanisms of resistance have been explored in a variety of solid tumors, including RCC. Based upon our review of the current literature on the mechanisms of resistance to immunotherapies for the management of metastatic clear-cell renal cell carcinomas (mccRCC), the ensuing conclusions have been made: The management of mccRCC has progressed substantially with the advent of checkpoint inhibitors and targeted oral therapies, alone and/or in combination. Nevertheless, innate or developed resistance to these therapies remains an ongoing challenge, particularly to immune checkpoint inhibitors (ICIs). Several of the known mechanisms of resistance have been well defined, but recent progression in cellular therapies helps to expand the armamentarium of potential combination options that may overcome these modes of resistance and improve long-term disease control and survival for an otherwise dismal disease. In the ensuing review and update of the literature on the mechanisms of resistance to immunotherapies in mccRCC, we have revisited the known resistance mechanisms of immunotherapies in metastatic clear-cell RCC and explored ongoing and future strategies to overcome them.

Vascular mimicry induced by m6A mediated IGFL2-AS1/AR axis contributes to pazopanib resistance in clear cell renal cell carcinoma

Metastatic clear cell renal cell carcinoma (ccRCC) is a lethal sub-type of kidney cancer. Vascular mimicry (VM) has been postulated as an alternative route to supply tumors with nutrients, playing key role in tumor development. Whether VM development is linked to pazopanib efficacy, however, remains unclear. Here, our in vitro and in vivo models identified that VM development was profoundly increased in pazopanib resistant ccRCC as compared to the sensitive controls, which was due to the activation of IGFL2-AS1/AR/TWIST1 signaling. IGFL2-AS1, a m⁶A modified long coding RNA, was demethylated by METTL3/METTL14 complex and stabilized owing to its failing recognition by YTHDF2 upon chronic pazopanib treatment. Further mechanistic dissection illustrated that IGFL2-AS1 physically interacted with the 5'-UTR AR mRNA and neutralized the negative regulation of 5'-uORF (upstream open reading frame) on AR translation. Indeed, IGFL2-AS1 short of AR binding region failed to promote AR expression, VM formation and pazopanib resistance. In vivo xenografted mouse model also elucidated that inhibition of AR activity with enzalutamide or silence of IGFL2-AS1 with siRNAs all led to retarded growth of pazopanib resistant ccRCC tumors. Together, these results suggest that IGFL2-AS1 may represent a key player to mediate pazopanib-induced VM formation of ccRCC cells via regulating AR expression and targeting this newly identified IGFL2-AS1/AR signaling may help us to better suppress ccRCC VM formation and to increase the therapeutic efficacy of pazopanib.

Inflammatory Networks in Renal Cell Carcinoma

Cancer-associated inflammation has been established as a hallmark feature of almost all solid cancers. Tumor-extrinsic and intrinsic signaling pathways regulate the process of cancer-associated inflammation. Tumor-extrinsic inflammation is triggered by many factors, including infection, obesity, autoimmune disorders, and exposure to toxic and radioactive substances. Intrinsic inflammation can be induced by genomic mutation, genome instability and epigenetic remodeling in cancer cells that promote immunosuppressive traits, inducing the recruitment and activation of inflammatory immune cells. In RCC, many cancer cell-intrinsic alterations are assembled, upregulating inflammatory pathways, which enhance chemokine release and neoantigen expression. Furthermore, immune cells activate the endothelium and induce metabolic shifts, thereby amplifying both the paracrine and autocrine inflammatory loops to promote RCC tumor growth and progression. Together with tumor-extrinsic inflammatory factors, tumor-intrinsic signaling pathways trigger a Janus-faced tumor microenvironment, thereby simultaneously promoting or inhibiting tumor growth. For therapeutic success, it is important to understand the pathomechanisms of cancer-associated inflammation, which promote cancer progression. In this review, we describe the molecular mechanisms of cancer-associated inflammation that influence cancer and immune cell functions, thereby increasing tumor malignancy and anti-cancer resistance. We also discuss the potential of anti-inflammatory treatments, which may provide clinical benefits in RCCs and possible avenues for therapy and future research.

A New Signature That Predicts Progression-Free Survival of Clear Cell Renal Cell Carcinoma with Anti-PD-1 Therapy

Immunotherapy has greatly improved the survival time and quality of life of patients with renal cell carcinoma, but the benefits are limited to a small portion of patients. There are too few new biomarkers that can be used to identify molecular subtypes of renal clear cell carcinoma and predict survival time with anti-PD-1 treatment. Single-cell RNA data of clear cell renal cell carcinoma (ccRCC) treated with anti-PD-1 were obtained from public databases, then 27,707 high-quality CD4 + T and CD8 + T cells were obtained for subsequent analysis. Firstly, genes set variation analysis and CellChat algorithm were used to explore potential molecular pathway differences and intercellular communication between the responder and non-responder groups. Additionally, differentially expressed genes (DEGs) between the responder and non-responder groups were obtained using the “edgeR” package, and ccRCC samples from TCGA-KIRC (n = 533) and ICGA-KIRC (n = 91) were analyzed by the unsupervised clustering algorithm to recognize molecular subtypes with different immune characteristics. Finally, using univariate Cox analysis, least absolute shrinkage and selection operator (Lasso) regression, and multivariate Cox regression, the prognosis model of immunotherapy was established and verified to predict the progression-free survival of ccRCC patients treated with anti-PD-1. At the single cell level, there are different signal pathways and cell communication between the immunotherapy responder and non-responder groups. In addition, our research also confirms that the expression level of PDCD1/PD-1 is not an effective marker for predicting the response to immune checkpoint inhibitors (ICIs). The new prognostic immune signature (PIS) enabled the classification of ccRCC patients with anti-PD-1 therapy into high- and low-risk groups, and the progression-free survival times (PFS) and immunotherapy responses were significantly different between these two groups. In the training group, the area under the ROC curve (AUC) for predicting 1-, 2- and 3-year progression-free survival was 0.940 (95% CI: 0.894–0.985), 0.981 (95% CI: 0.960–1.000), and 0.969 (95% CI: 0.937–1.000), respectively. Validation sets confirm the robustness of the signature. This study revealed the heterogeneity between the anti-PD-1 responder and non-responder groups from different angles and established a robust PIS to predict the progression-free survival of ccRCC patients receiving immune checkpoint inhibitors.

Is It Time to Integrate Frailty Assessment in Onconephrology?

Simple Summary

There are an increasing number of older people living with kidney cancer and/or cancer and kidney disease worldwide, sparking a wider discussion on the impact of frailty and the clinical significance of conducting frailty assessments for this patient population. We provide an update on the current evidence related to frailty assessment in onconephrology and identify areas where further research efforts are anticipated to address knowledge gaps within this topic.

Abstract

Onconephrology has emerged as a novel sub-specialty of nephrology dedicated to the intersection between the kidney and cancer. This intersection is broad and includes a number of important areas of focus, including concurrent chronic kidney disease (CKD) and cancer, acute kidney complications of cancer, and cancer-treatment-induced nephrotoxicity. The importance of onconephrology is even more evident when considering the global growth in the population of older adults, many of whom are living with some degree of frailty. Furthermore, a considerable proportion of older adults have CKD (some of whom eventually progress to kidney failure) and are at high risk of developing solid tumour and hematologic malignancies. Specific to kidney disease, the association between frailty status and kidney disease has been explored in depth, and tools to capture frailty can be used to guide the management and prognostication of older adults living with kidney failure. Whilst there is emerging data regarding the assessment and impact of frailty in onconephrology, there remains a relative paucity of knowledge within this topic. In this article, we evaluate the definition and operationalization of frailty and discuss the significance of frailty within onconephrology. We review evidence on current approaches to assessing frailty in onconephrology and discuss potential developments and future directions regarding the utilization of frailty in this patient population. A greater awareness of the intersections and interactions between frailty and onconephrology and further efforts to integrate frailty assessment in onconephrology to optimize the delivery of realistic and goal-directed management strategies for patients is needed.

Temporary treatment cessation versus continuation of first-line tyrosine kinase inhibitor in patients with advanced clear cell renal cell carcinoma (STAR): an open-label, non-inferiority, randomised, controlled, phase 2/3 trial

BACKGROUND

Temporary drug treatment cessation might alleviate toxicity without substantially compromising efficacy in patients with cancer. We aimed to determine if a tyrosine kinase inhibitor drug-free interval strategy was non-inferior to a conventional continuation strategy for first-line treatment of advanced clear cell renal cell carcinoma.

METHODS

This open-label, non-inferiority, randomised, controlled, phase 2/3 trial was done at 60 hospital sites in the UK. Eligible patients (aged ≥18 years) had histologically confirmed clear cell renal cell carcinoma, inoperable loco-regional or metastatic disease, no previous systemic therapy for advanced disease, uni-dimensionally assessed Response Evaluation Criteria in Solid Tumours-defined measurable disease, and an Eastern Cooperative Oncology Group performance status of 0-1. Patients were randomly assigned (1:1) at baseline to a conventional continuation strategy or drug-free interval strategy using a central computer-generated minimisation programme incorporating a random element. Stratification factors were Memorial Sloan Kettering Cancer Center prognostic group risk factor, sex, trial site, age, disease status, tyrosine kinase inhibitor, and previous nephrectomy. All patients received standard dosing schedules of oral sunitinib (50 mg per day) or oral pazopanib (800 mg per day) for 24 weeks before moving into their randomly allocated group. Patients allocated to the drug-free interval strategy group then had a treatment break until disease progression, when treatment was re-instated. Patients in the conventional continuation strategy group continued treatment. Patients, treating clinicians, and the study team were aware of treatment allocation. The co-primary endpoints were overall survival and quality-adjusted life-years (QALYs); non-inferiority was shown if the lower limit of the two-sided 95% CI for the overall survival hazard ratio (HR) was 0·812 or higher and if the lower limit of the two-sided 95% CI of the marginal difference in mean QALYs was -0·156 or higher. The co-primary endpoints were assessed in the intention-to-treat (ITT) population, which included all randomly assigned patients, and the per-protocol population, which excluded patients in the ITT population with major protocol violations and who did not begin their randomisation allocation as per the protocol. Non-inferiority was to be concluded if it was met for both endpoints in both analysis populations. Safety was assessed in all participants who received a tyrosine kinase inhibitor. The trial was registered with ISRCTN, 06473203, and EudraCT, 2011-001098-16.

FINDINGS

Between Jan 13, 2012, and Sept 12, 2017, 2197 patients were screened for eligibility, of whom 920 were randomly assigned to the conventional continuation strategy (n=461) or the drug-free interval strategy (n=459; 668 [73%] male and 251 [27%] female; 885 [96%] White and 23 [3%] non-White). The median follow-up time was 58 months (IQR 46-73 months) in the ITT population and 58 months (46-72) in the per-protocol population. 488 patients continued on the trial after week 24. For overall survival, non-inferiority was demonstrated in the ITT population only (adjusted HR 0·97 [95% CI 0·83 to 1·12] in the ITT population; 0·94 [0·80 to 1·09] in the per-protocol population). Non-inferiority was demonstrated for QALYs in the ITT population (n=919) and per-protocol (n=871) population (marginal effect difference 0·06 [95% CI -0·11 to 0·23] for the ITT population; 0·04 [-0·14 to 0·21] for the per-protocol population). The most common grade 3 or worse adverse events were hypertension (124 [26%] of 485 patients in the conventional continuation strategy group vs 127 [29%] of 431 patients in the drug-free interval strategy group); hepatotoxicity (55 [11%] vs 48 [11%]); and fatigue (39 [8%] vs 63 [15%]). 192 (21%) of 920 participants had a serious adverse reaction. 12 treatment-related deaths were reported (three patients in the conventional continuation strategy group; nine patients in the drug-free interval strategy group) due to vascular (n=3), cardiac (n=3), hepatobiliary (n=3), gastrointestinal (n=1), or nervous system (n=1) disorders, and from infections and infestations (n=1).

INTERPRETATION

Overall, non-inferiority between groups could not be concluded. However, there seemed to be no clinically meaningful reduction in life expectancy between the drug-free interval strategy and conventional continuation strategy groups and treatment breaks might be a feasible and cost-effective option with lifestyle benefits for patients during tyrosine kinase inhibitor therapy in patients with renal cell carcinoma.

FUNDING

UK National Institute for Health and Care Research.

Expression of RSUME is associated with poor prognosis in clear cell Renal Carcinoma: involvement of ROS related metabolism

INTRODUCTION

RSUME (RWD domain-containing protein SUMO Enhancer), RWD domain containing 3 (RWDD3) gene product, is upregulated by hypoxia and expressed in organs prone to develop von Hippel-Lindau (VHL) syndrome tumors.

MATERIALS AND METHODS

We evaluated RSUME prognostic value in clear cell renal cell carcinoma (ccRCC) based mainly on the dataset (KIRC) from patients in The Cancer Genome Atlas (TCGA). Wilcoxon signed-rank test and one-way analysis of variance (ANOVA) followed by Tukey's test were used to evaluate relationships between clinicopathological features and RSUME expression and univariate and multivariate Cox regression analysis methods were used to evaluate prognostic factors. The biological function of RSUME was assessed by gene set enrichment analysis (GSEA). For validation, total amount of ROS was detected in ccRCC cell lines using dichlorofluorescin diacetate.

RESULTS

RSUME is highly expressed in tumor tissues compared with normal tissues (P = .006, P = .039, P = .002, P = .036, P < .001) and associates with tumor T (P = .018) and tumor M (P = .036) advanced stages and higher extent cysts (P = .005). RSUME expression appears to be an independent risk factor for overall survival (OS) (P = .002) and disease-specific survival (DSS) (P = .026) in ccRCC patients. GSEA showed enrichment of relevant glycerophospholipid- and ROS-related pathways in RSUME high-expression phenotype. ROS diminished levels in RSUME-silenced ccRCC cell lines validated RSUME relevance in ROS-related pathways.

CONCLUSION

RSUME high expression may predict poor prognosis in ccRCC and impact through its action on metabolism and ROS related pathways.

Prognostic and predictive biomarkers for immunotherapy in advanced renal cell carcinoma

The therapeutic algorithm of renal cell carcinoma has been revolutionized by the approval of immunotherapy agents by regulatory agencies. However, objective and durable responses are still not observed in a large number of patients, and prognostic and predictive biomarkers for immunotherapy response are urgently needed. Prognostic models used in clinical practice are based on clinical and laboratory factors (such as hypercalcaemia, neutrophil count or Karnofsky Performance Status), but, with progress in molecular biology and genome sequencing techniques, new renal cell carcinoma molecular features that might improve disease course and outcomes prediction have been highlighted. An implementation of current models is needed to improve the accuracy of prognosis in the immuno-oncology era. Moreover, several potential biomarkers are currently under evaluation, but effective markers to select patients who might benefit from immunotherapy and to guide therapeutic strategies are still far from validation.

Management of Metastatic Renal Cell Carcinoma in a Tertiary Care Hospital

Background The behavior of metastatic renal cell carcinoma (mRCC) is unpredictable and elusive. International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) scores, histological subtypes, and targeted therapy predict survival and prognosis. However, there is a paucity of literature from the Indian subcontinent on mRCC outcomes. Therefore, this prospective study reports overall survival outcomes and complications due to targeted therapy of mRCC from a single tertiary care center. Methodology Between 2015 and 2020, 110 patients were included in the study. The treatment was based on the IMDC. Cytoreductive nephrectomy was done in 30 patients, and renal mass biopsy was done in 80 patients. Six were lost to follow-up after histopathological diagnosis, and targeted therapy was administered to 104 patients (sunitinib in 41, sorafenib in 33, and pazopanib in 30). During targeted therapy, six died within 30 days of treatment. The overall survival outcomes and complications due to targeted therapy were analyzed. Results The mean overall survival was 21.52 months with a 95% confidence interval of 17.04-25.98 months. Six variables significantly correlated with inferior survival in univariable Cox regression analysis. Weight loss, hemoglobin, platelet count, lung metastasis, and ≥2 visceral metastases were associated with poor outcomes. Performance status >2 and lung metastasis predicted poor outcomes in multivariate analysis. Overall survival was 24.52 months in clear cell carcinoma versus 21.39 months (13.32-29.45 months) in papillary cell carcinoma, which was not significant. Conclusions IMDC groups show significant differences in overall survival. The histological subtypes and types of targeted therapy did not differ in overall survival, and the presence of sarcomatoid differentiation correlated with poor prognosis concerning IMDC.

Stereotactic body radiation therapy to the kidney for metastatic renal cell carcinoma: A narrative review of an emerging concept

This narrative review provides a historical overview of cytoreductive nephrectomy for metastatic renal cell carcinoma (mRCC) and examines the safety and therapeutic potential of cytoreductive stereotactic body radiation therapy (SBRT) for mRCC in the modern immunotherapy era. In the last five years, the introduction of immune checkpoint inhibitors for the treatment of mRCC has improved outcomes for patients. This has brought forth new exploration of the role of CN in combination with immunotherapy. Early retrospective evidence suggests that there may be a benefit of deferred CN after immunotherapy (IOT) for de novo mRCC patients. However, there has also been concern regarding the feasibility of surgery after IOT due to inflammation. SBRT may be an appropriate alternative in these circumstances. Since 1999, cytoreductive SBRT has been used for inoperable primary RCC. Several prospective and retrospective studies treating the kidney tumor for localized RCC have shown that this technique is safe and produces favorable and durable local control. SBRT has also exhibited similar effectiveness to CN, while providing additional benefits including noninvasiveness and the ability to treat tumors that can't be treated with nephrectomy or ablation due to size or location. Furthermore, SBRT confers immunostimulatory effects, which are hypothesized to work synergistically with immunotherapy. Clinicians should consider SBRT a safe and reliable alternative to CN for RCC patients. Ongoing studies are exploring the utility of SBRT for treatment of the primary tumor in mRCC patients receiving standard of care immunotherapy.

[89Zr]Zr-DFO-girentuximab and [18F]FDG PET/CT to Predict Watchful Waiting Duration in Patients with Metastatic Clear-cell Renal Cell Carcinoma

PURPOSE

Watchful waiting (WW) can be considered for patients with metastatic clear-cell renal cell carcinoma (mccRCC) with good or intermediate prognosis, especially those with <2 International Metastatic RCC Database Consortium criteria and ≤2 metastatic sites [referred to as watch and wait ("W&W") criteria]. The IMaging PAtients for Cancer drug SelecTion-Renal Cell Carcinoma study objective was to assess the predictive value of [18F]FDG PET/CT and [89Zr]Zr-DFO-girentuximab PET/CT for WW duration in patients with mccRCC.

EXPERIMENTAL DESIGN

Between February 2015 and March 2018, 48 patients were enrolled, including 40 evaluable patients with good (n = 14) and intermediate (n = 26) prognosis. Baseline contrast-enhanced CT, [18F]FDG and [89Zr]Zr-DFO-girentuximab PET/CT were performed. Primary endpoint was the time to disease progression warranting systemic treatment. Maximum standardized uptake values (SUVmax) were measured using lesions on CT images coregistered to PET/CT. High and low uptake groups were defined on the basis of median geometric mean SUVmax of RECIST-measurable lesions across patients.

RESULTS

The median WW time was 16.1 months [95% confidence interval (CI): 9.0-31.7]. The median WW period was shorter in patients with high [18F]FDG tumor uptake than those with low uptake (9.0 vs. 36.2 months; HR, 5.6; 95% CI: 2.4-14.7; P < 0.001). Patients with high [89Zr]Zr-DFO-girentuximab tumor uptake had a median WW period of 9.3 versus 21.3 months with low uptake (HR, 1.7; 95% CI: 0.9-3.3; P = 0.13). Patients with "W&W criteria" had a longer median WW period of 21.3 compared with patients without: 9.3 months (HR, 1.9; 95% CI: 0.9-3.9; Pone-sided = 0.034). Adding [18F]FDG uptake to the "W&W criteria" improved the prediction of WW duration (P < 0.001); whereas [89Zr]Zr-DFO-girentuximab did not (P = 0.53).

CONCLUSIONS

In patients with good- or intermediate-risk mccRCC, low [18F]FDG uptake is associated with prolonged WW. This study shows the predictive value of the "W&W criteria" for WW duration and shows the potential of [18F]FDG-PET/CT to further improve this.

Soluble CD163: a novel independent prognostic biomarker in patients with metastatic renal cell carcinoma

The hemoglobin-haptoglobin scavenger receptor CD163 is present in both a membrane-bound form on monocytes and macrophages (mCD163) and a shed soluble circulating form (sCD163). CD163 is a well-described marker of M2-like tumor-associated macrophages, but in patients with metastatic renal cell carcinoma (mRCC), monocyte mCD163 and serum sCD163 levels have not previously been investigated and associated with patient overall survival (OS). Here, we report mCD163 expression on peripheral blood monocytes, as well as sCD163 serum levels, in samples from 89 patients newly diagnosed with mRCC and 20 healthy controls. We found that in mRCC patients, compared to healthy controls, monocyte mCD163 levels were reduced (P < 0.001) whereas serum sCD163 levels were increased (P = 0.004). Moreover, an inverse correlation between mCD163 and sCD163 levels (P = 0.04) was shown. In survival analyses, intermediary levels of monocyte mCD163 were associated with longest OS, compared to both lower and higher mCD163 levels, which were both associated with worse outcomes (P < 0.01). Further, higher levels of sCD163 at diagnosis were associated with poor OS in both univariate (P < 0.001) and multivariate analysis (HR = 1.28; 95%CI 1.09-1.50, P = 0.002). Importantly, stratification by low vs. high sCD163 was able to separate patients with International Metastatic RCC Database Consortium (IMDC) intermediate risk (IMDC_INT) into two subgroups with different OS (P = 0.03): IMDC_INT-sCD163_LOW showed survival similar to IMDC_FAV patients, and IMDC_INT-sCD163_HIGH showed survival similar to IMDC_POOR patients. Thus, baseline sCD163 is a novel independent biomarker of OS in mRCC, and using sCD163 as an add-on biomarker may improve prognostic value for patients in the heterogenous IMDC intermediate group.

Mitochondrially targeted tamoxifen in patients with metastatic solid tumours: an open-label, phase I/Ib single-centre trial

Background

Mitochondria present an emerging target for cancer treatment. We have investigated the effect of mitochondrially targeted tamoxifen (MitoTam), a first-in-class anti-cancer agent, in patients with solid metastatic tumours.

Methods

MitoTam was tested in an open-label, single-centre (Department of Oncology, General Faculty Hospital, Charles University, Czech Republic), phase I/Ib trial in metastatic patients with various malignancies and terminated oncological therapies. In total, 75 patients were enrolled between May 23, 2018 and July 22, 2020. Phase I evaluated escalating doses of MitoTam in two therapeutic regimens using the 3 + 3 design to establish drug safety and maximum tolerated dose (MTD). In phase Ib, three dosing regimens were applied over 8 and 6 weeks to evaluate long-term toxicity of MitoTam as the primary objective and its anti-cancer effect as a secondary objective. This trial was registered with the European Medicines Agency under EudraCT 2017-004441-25.

Findings

In total, 37 patients were enrolled into phase I and 38 into phase Ib. In phase I, the initial application of MitoTam via peripheral vein indicated high risk of thrombophlebitis, which was avoided by central vein administration. The highest dose with acceptable side effects was 5.0 mg/kg. The prevailing adverse effects (AEs) in phase I were neutropenia (30%), anaemia (30%) and fever/hyperthermia (30%), and in phase Ib fever/hyperthermia (58%) together with anaemia (26%) and neutropenia (16%). Serious AEs were mostly related to thromboembolic (TE) complications that affected 5% and 13% of patients in phase I and Ib, respectively. The only statistically significant AE related to MitoTam treatment was anaemia in phase Ib (p = 0.004). Of the tested regimens weekly dosing with 3.0 mg/kg for 6 weeks afforded the best safety profile with almost all being grade 1 (G1) AEs. Altogether, five fatalities occurred during the study, two of them meeting criteria for Suspected Unexpected Serious Adverse Events Reporting (SUSAR) (G4 thrombocytopenia and G5 stroke). MitoTam showed benefit evaluated as clinical benefit rate (CBR) in 37% patients with the largest effect in renal cell carcinoma (RCC) where four out of six patients reached disease stabilisation (SD), one reached partial response (PR) so that in total, five out of six (83%) patients showed CBR.

Interpretation

In this study, the MTD was established as 5.0 mg/kg and the recommended dose of MitoTam as 3.0 mg/kg given once per week via central vein with recommended preventive anti-coagulation therapy. The prevailing toxicity included haematological AEs, hyperthermia/fever and TE complications. One fatal stroke and non-fatal G4 thrombocytopenia were recorded. MitoTam showed high efficacy against RCC.

Funding

Smart Brain Ltd.

Translation

For the Czech translation of the abstract see Supplementary Materials section.

Body Composition to Define Prognosis of Cancers Treated by Anti-Angiogenic Drugs

Background: Body composition could help to better define the prognosis of cancers treated with anti-angiogenics. The aim of this study is to evaluate the prognostic value of 3D and 2D anthropometric parameters in patients given anti-angiogenic treatments. Methods: 526 patients with different types of cancers were retrospectively included. The software Anthropometer3DNet was used to measure automatically fat body mass (FBM3D), muscle body mass (MBM3D), visceral fat mass (VFM3D) and subcutaneous fat mass (SFM3D) in 3D computed tomography. For comparison, equivalent two-dimensional measurements at the L3 level were also measured. The area under the curve (AUC) of the receiver operator characteristics (ROC) was used to determine the parameters’ predictive power and optimal cut-offs. A univariate analysis was performed using Kaplan−Meier on the overall survival (OS). Results: In ROC analysis, all 3D parameters appeared statistically significant: VFM3D (AUC = 0.554, p = 0.02, cutoff = 0.72 kg/m2), SFM3D (AUC = 0.544, p = 0.047, cutoff = 3.05 kg/m2), FBM3D (AUC = 0.550, p = 0.03, cutoff = 4.32 kg/m2) and MBM3D (AUC = 0.565, p = 0.007, cutoff = 5.47 kg/m2), but only one 2D parameter (visceral fat area VFA2D AUC = 0.548, p = 0.034). In log-rank tests, low VFM3D (p = 0.014), low SFM3D (p < 0.0001), low FBM3D (p = 0.00019) and low VFA2D (p = 0.0063) were found as a significant risk factor. Conclusion: automatic and 3D body composition on pre-therapeutic CT is feasible and can improve prognostication in patients treated with anti-angiogenic drugs. Moreover, the 3D measurements appear to be more effective than their 2D counterparts.

Efficacy and safety of vorolanib plus everolimus in metastatic renal cell carcinoma: A three-arm, randomised, double-blind, multicentre phase III study (CONCEPT)

BACKGROUND

Vorolanib is a highly potent tyrosine kinase inhibitor (TKI) targeting vascular endothelial growth factor receptor (VEGFR) and platelet-derived growth factor receptor. This three-arm, randomised, registered study aimed to assess the combination of vorolanib and everolimus or vorolanib alone versus a control arm of everolimus as second-line treatment in patients with metastatic renal cell carcinoma (RCC).

PATIENTS AND METHODS

Patients with advanced or metastatic RCC who had received one prior VEGFR-TKI were randomised (1:1:1) to receive the combination of vorolanib and everolimus or either monotherapy. Patients with brain metastases were excluded. The primary end-point was progression-free survival (PFS) assessed by the independent review committee per Response Evaluation Criteria in Solid Tumours v1.1.

RESULTS

Between 10th March 2017 and 30th May 2019, 399 patients (133 in each group) were enrolled. By the cutoff date (30th April 2020), a significant improvement in PFS was detected in the combination group compared with the everolimus group (10.0 versus 6.4 months; hazard ratio, 0.70; P = 0.0171). PFS was similar between the vorolanib group and the everolimus group (median: 6.4 versus 6.4 months; hazard ratio, 0.94; P = 0.6856). A significantly higher objective response rate was observed in the combination group than in the everolimus group (24.8% versus 8.3%; P = 0.0003), whereas there was no significant difference between the vorolanib group and the everolimus group (10.5% versus 8.3%; P = 0.5278). The overall survival data were immature. A total of 96 (72.2%), 52 (39.1%) and 71 (53.4%) grade 3 or higher treatment-related adverse events occurred in the combination group, vorolanib group and everolimus group, respectively.

CONCLUSIONS

The addition of vorolanib to everolimus as 2nd-line treatment for patients with advanced or metastatic RCC who have experienced cancer progression after VEGFR-TKI therapy provided a better objective response rate and PFS than everolimus alone with a manageable safety profile.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03095040; Chinadrugtrials, CTR20160987.

Therapeutic sequencing in advanced renal cell carcinoma: How to choose considering clinical and biological factors

In the last fifteen years a better understanding of the biological processes promoting tumour growth and progression led to an impressive revolution in metastatic renal cell carcinoma (mRCC) treatment landscape. Angiogenesis plays a critical role in the pathogenesis of RCC. These biological evidences led to targeted therapies interfering with vascular endothelial growth factor and mammalian target of rapamycin pathway. Another big step in the RCC therapeutic landscape was recently made because of the understanding of the interplay between angiogenesis and immune cells. Dual immune checkpoint inhibitors (ICIs) and ICIs plus tyrosine kinase inhibitors (TKI) combinations have been approved considering overall survival benefit compared to targeted therapies as first line treatment. We summarize the activity and the biological rationale of ICIs combinations as mRCC first line therapy. Additionally, we review the clinical and biological criteria useful to guide clinicians in the choice of treatment sequencing focusing on ICIs combinations resistance mechanisms.

Artificial intelligence-based prediction of overall survival in metastatic renal cell carcinoma

Background and objectives

Investigations of the prognosis are vital for better patient management and decision-making in patients with advanced metastatic renal cell carcinoma (mRCC). The purpose of this study is to evaluate the capacity of emerging Artificial Intelligence (AI) technologies to predict three- and five-year overall survival (OS) for mRCC patients starting their first-line of systemic treatment.

Patients and methods

The retrospective study included 322 Italian patients with mRCC who underwent systemic treatment between 2004 and 2019. Statistical analysis included the univariate and multivariate Cox proportional-hazard model and the Kaplan-Meier analysis for the prognostic factors' investigation. The patients were split into a training cohort to establish the predictive models and a hold-out cohort to validate the results. The models were evaluated by the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity. We assessed the clinical benefit of the models using decision curve analysis (DCA). Then, the proposed AI models were compared with well-known pre-existing prognostic systems.

Results

The median age of patients in the study was 56.7 years at RCC diagnosis and 78% of participants were male. The median survival time from the start of systemic treatment was 29.2 months; 95% of the patients died during the follow-up that finished by the end of 2019. The proposed predictive model, which was constructed as an ensemble of three individual predictive models, outperformed all well-known prognostic models to which it was compared. It also demonstrated better usability in supporting clinical decisions for 3- and 5-year OS. The model achieved (0.786 and 0.771) AUC and (0.675 and 0.558) specificity at sensitivity 0.90 for 3 and 5 years, respectively. We also applied explainability methods to identify the important clinical features that were found to be partially matched with the prognostic factors identified in the Kaplan-Meier and Cox analyses.

Conclusions

Our AI models provide best predictive accuracy and clinical net benefits over well-known prognostic models. As a result, they can potentially be used in clinical practice for providing better management for mRCC patients starting their first-line of systemic treatment. Larger studies would be needed to validate the developed model.

Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics

We introduce binacox, a prognostic method to deal with the problem of detecting multiple cut-points per feature in a multivariate setting where a large number of continuous features are available. The method is based on the Cox model and combines one-hot encoding with the binarsity penalty, which uses total-variation regularization together with an extra linear constraint, and enables feature selection. Original nonasymptotic oracle inequalities for prediction (in terms of Kullback-Leibler divergence) and estimation with a fast rate of convergence are established. The statistical performance of the method is examined in an extensive Monte Carlo simulation study, and then illustrated on three publicly available genetic cancer data sets. On these high-dimensional data sets, our proposed method outperforms state-of-the-art survival models regarding risk prediction in terms of the C-index, with a computing time orders of magnitude faster. In addition, it provides powerful interpretability from a clinical perspective by automatically pinpointing significant cut-points in relevant variables.