The role of BUD31 in clear cell renal cell carcinoma: prognostic significance, alternative splicing, and tumor immune environment.

BUD31, a splicing factor, is linked to various cancers. This study examines BUD31's expression, prognostic value, mutation profile, genomic instability, tumor immune environment, and role in clear cell renal cell carcinoma (ccRCC), focusing on cell cycle regulation via alternative splicing. BUD31 expression was analyzed using TCGA and GTEx databases across 33 cancers. Techniques included IHC staining, survival analysis, Cox regression, and nomogram construction. Mutation landscape, genomic instability, and tumor immune microenvironment were evaluated. Functional assays on ccRCC cell lines involved BUD31 knockdown, RNA sequencing, and alternative splicing analysis. BUD31 was upregulated in multiple tumors, including ccRCC. High BUD31 expression correlated with worse survival outcomes and was identified as an independent predictor of poor prognosis in ccRCC. High BUD31 expression also correlated with increased genomic instability and a less active immune microenvironment. BUD31 knockdown inhibited cell proliferation, migration, and invasion in vitro and reduced tumor growth in vivo. RNA sequencing identified 390 alternative splicing events regulated by BUD31, including 17 cell cycle-related genes. KEGG analysis highlighted pathways involved in cell cycle regulation, indicating BUD31's role in promoting cell cycle progression through alternative splicing. BUD31 is upregulated in various tumors and is associated with poor outcomes, increased genomic instability, and a suppressed immune microenvironment in ccRCC. BUD31 promotes cell cycle progression via alternative splicing, suggesting it as a prognostic biomarker and potential therapeutic target in ccRCC.

Predicting CTLA4 expression and prognosis in clear cell renal cell carcinoma using a pathomics signature of histopathological images and machine learning.

Background: CTLA4, an immune checkpoint, plays an important role in tumor immunotherapy. The purpose of this study was to develop a pathomics signature to evaluate CTLA4 expression and predict clinical outcomes in clear cell renal cell carcinoma (ccRCC) patients. Methods: A total of 354 patients from the TCGA-KIRC dataset were enrolled in this study. The patients were stratified into two groups based on the level of CTLA4 expression, and overall survival rates were analyzed between groups. Pathological features were identified using machine learning algorithms, and a gradient boosting machine (GBM) was employed to construct the pathomics signatures for predicting prognosis and CTLA4 expression. The predictive performance of the model was subsequently assessed. Enrichment analysis was performed on diferentially expressed genes related to the pathomics score (PS). Additionally, correlations between PS and TMB, as well as immune infiltration profiles associated with different PS values, were explored. In vitro experiments, CTLA4 knockdown was performed to investigate its impact on cell proliferation, migration, invasion, TGF-ß signaling pathway, and macrophage polarization. Results: High expression of CTLA4 was associated with an unfavorable prognosis in ccRCC patients. The pathomics signature displayed good performance in the validation set (AUC = 0.737; P < 0.001 in the log-rank test). The PS was positively correlated with CTLA4 expression. We next explored the underlying mechanism and found the associations between the pathomics signature and TGF-ß signaling pathways, TMB, and Tregs. Further in vitro experiments demonstrated that CTLA4 knockdown inhibited cell proliferation, migration, invasion, TGF-ß expression, and macrophage M2 polarization. Conclusion: High expression of CTLA4 was found to correlate with poor prognosis in ccRCC patients. The pathomics signature established by our group using machine learning effectively predicted both patient prognosis and CTLA4 expression levels in ccRCC cases.

Identification of a cancer driver gene-associated lncRNA signature for prognostic prediction and immune response evaluation in clear cell renal cell carcinoma.

Background: Clear cell renal cell carcinoma (ccRCC) predominates among kidney cancer cases and is influenced by mutations in cancer driver genes (CDGs). However, significant obstacles persist in the early diagnosis and treatment of ccRCC. While various genetic models offer new hopes for improving ccRCC management, the relationship between CDG-related long non-coding RNAs (CDG-RlncRNAs) and ccRCC remains poorly understood. Therefore, this study aims to construct prognostic molecular features based on CDG-RlncRNAs to predict the prognosis of ccRCC patients, and aims to provide a new strategy to enhance clinical management of ccRCC patients. Methods: This study employed Cox and Least Absolute Shrinkage and Selection Operator (LASSO) regression analyses to comprehensively investigate the association between lncRNAs and CDGs in ccRCC. Leveraging The Cancer Genome Atlas (TCGA) dataset, we identified 97 prognostically significant CDG-RlncRNAs and developed a robust prognostic model based on these CDG-RlncRNAs. The performance of the model was rigorously validated using the TCGA dataset for training and the International Cancer Genome Consortium (ICGC) dataset for validation. Functional enrichment analysis elucidated the biological relevance of CDG-RlncRNA features in the model, particularly in tumor immunity. Experimental validation further confirmed the functional role of representative CDG-RlncRNA SNHG3 in ccRCC progression. Results: Our analysis revealed that 97 CDG-RlncRNAs are significantly associated with ccRCC prognosis, enabling patient stratification into different risk groups. Development of a prognostic model incorporating key lncRNAs such as HOXA11-AS, AP002807.1, APCDD1L-DT, AC124067.2, and SNHG3 demonstrated robust predictive accuracy in both training and validation datasets. Importantly, risk stratification based on the model revealed distinct immune-related gene expression patterns. Notably, SNHG3 emerged as a key regulator of the ccRCC cell cycle, highlighting its potential as a therapeutic target. Conclusions: Our study established a concise CDG-RlncRNA signature and underscored the pivotal role of SNHG3 in ccRCC progression. It emphasizes the clinical relevance of CDG-RlncRNAs in prognostic prediction and targeted therapy, offering potential avenues for personalized intervention in ccRCC.

Changes in the overall survival of patients with metastatic renal cell carcinoma in the era of immune-checkpoint inhibitors.

BACKGROUND: The advent of immune checkpoint inhibitors (ICI) has brought about a significant transformation in the treatment of immunogenic tumors. On November 23, 2015, the United States Food and Drug Administration approved Nivolumab to treat metastatic renal cell carcinoma (RCC). We aimed to assess potential changes in the survival rates of patients with metastatic RCC at a population level after the approval of Nivolumab. METHODS: We used data from the latest version of the Surveillance, Epidemiology, and End Results (SEER) database which encompasses data up to the year 2020. We included patients with age ≥ 20 years who were diagnosed with 'distant' RCC from 2011 through 2020. Based on the approval of Nivolumab, the period from 2011 to 2020 was further grouped into 2011-2015 (pre-ICI era) and 2016-2020 (ICI era). RESULTS: The median overall survival (OS) was 8 months in the pre-ICI era compared to 11 months in the ICI era (log-rank test, χ2 = 102.53, p < 0.001). Patients diagnosed with metastatic RCC in the ICI era had a significantly lower risk of dying [Cox proportional Hazard Ratio of 0.77, 95 % CI (0.74-0.80)] compared to patients diagnosed in the pre-ICI era. Additionally, patients under the age of 75 had a lower risk of death compared to those aged 75 years or older. Patients who received chemotherapy (systemic therapy), radiotherapy, or surgery faced a significantly lower risk of mortality. Individuals with metastasis to the brain, bone, liver, or lung had a significantly higher risk of death than those without metastasis to these locations. Marital status also played a role, as married individuals had a significantly lower risk of death compared to those who were divorced, separated, or widowed at the time of diagnosis. Furthermore, income level influenced survival, with patients earning a median annual household income of more than USD 75,000 exhibiting a significantly lower risk of mortality compared to those earning between USD 50,000 and USD 74,000. There was no significant difference in survival observed between non-Hispanic blacks and non-Hispanic whites. CONCLUSION: The advent of immune checkpoint inhibitors has led to a substantial improvement in the median overall survival of individuals diagnosed with metastatic renal cell carcinoma.

Sub-regional Radiomics Analysis for Predicting Metastasis Risk in Clear Cell Renal Cell Carcinoma: A Multicenter Retrospective Study.

RATIONALE AND OBJECTIVES: Clear cell renal cell carcinoma (ccRCC) is the most common malignant neoplasm affecting the kidney, exhibiting a dismal prognosis in metastatic instances. Elucidating the composition of ccRCC holds promise for the discovery of highly sensitive biomarkers. Our objective was to utilize habitat imaging techniques and integrate multimodal data to precisely predict the risk of metastasis, ultimately enabling early intervention and enhancing patient survival rates. MATERIAL AND METHODS: A retrospective analysis was performed on a cohort of 263 patients with ccRCC from three hospitals between April 2013 and March 2021. Preoperative CT images, ultrasound images, and clinical data were comprehensively analyzed. Patients from two campuses of Qilu Hospital of Shandong University were assigned to the training dataset, while the third hospital served as the independent testing dataset. A robust consensus clustering method was used to classify the primary tumor space into distinct sub-regions (i.e., habitats) using contrast-enhanced CT images. Radiomic features were extracted from these tumor sub-regions and subsequently reduced to identify meaningful features for constructing a predictive model for ccRCC metastasis risk assessment. In addition, the potential value of radiomics in predicting ccRCC metastasis risk was explored by integrating ultrasound image features and clinical data to construct and compare alternative models. RESULTS: In this study, we performed k-means clustering within the tumor region to generate three distinct tumor subregions. We quantified the Hounsfiled Unit (HU) value, volume fraction, and distribution of high- and low-risk groups in each subregion. Our investigation focused on 252 patients with Habitat1 + Habitat3 to assess the discriminative power of these two subregions. We then developed a risk prediction model for ccRCC metastasis risk classification based on radiomic features extracted from CT and ultrasound images, and clinical data. The Combined model and the CT_Habitat3 model showed AUC values of 0.935 [95%CI: 0.902-0.968] and 0.934 [95%CI: 0.902-0.966], respectively, in the training dataset, while in the independent testing dataset, they achieved AUC values of 0.891 [95%CI: 0.794-0.988] and 0.903 [95%CI: 0.819-0.987], respectively. CONCLUSION: We have identified a non-invasive imaging predictor and the proposed sub-regional radiomics model can accurately predict the risk of metastasis in ccRCC. This predictive tool has potential for clinical application to refine individualized treatment strategies for patients with ccRCC.

First-line Systemic Therapy Following Adjuvant Immunotherapy in Renal Cell Carcinoma: An International Multicenter Study.

BACKGROUND AND OBJECTIVE: Adjuvant pembrolizumab significantly improved overall survival (OS) in renal cell carcinoma (RCC), but real-world data on sequential treatment are scarce. We sought to evaluate the clinical outcomes of first-line (1L) systemic therapy following adjuvant immune oncology (IO)-based regimens. METHODS: A retrospective study including patients with recurrent RCC following adjuvant IO across 29 international institutions was conducted. The primary endpoint was progression-free survival (PFS) on 1L systemic therapy estimated using the Kaplan-Meier method. Preplanned subanalyses of clinical outcomes by type of 1L systemic therapy, recurrence timing, and International Metastatic RCC Database Consortium (IMDC) risk groups were performed. Treatment-related adverse events leading to treatment discontinuation, dose reduction, or corticosteroid use were assessed. KEY FINDINGS AND LIMITATIONS: A total of 94 patients were included. Most received adjuvant pembrolizumab (n = 37, 39%), atezolizumab (n = 28, 30%), or nivolumab + ipilimumab (n = 15, 16%). The cohort included 49 (52%) patients who had recurrence within 3 mo of the last adjuvant IO dose, whereas 45 (48%) recurred beyond 3 mo. Bone metastases were significantly higher in tumors recurring at <3 mo (10/49, 20%) than those recurring at >3 mo (1/45, 2.2%; p = 0.008). Most patients received 1L vascular endothelial growth factor-targeted therapy (VEGF-TT; n = 37, 39%), IO + VEGF-TT (n = 26, 28%), or IO + IO (n = 12, 13%). The remaining underwent local therapy. The median follow-up for the 1L systemic therapy cohort was 15 mo. The 18-mo PFS and OS rates were 45% (95% confidence interval [CI]: 34-60) and 85% (95% CI: 75-95), respectively. Treatment-related adverse events occurred in 32 (42%) patients and included skin toxicity (n = 7, 9.2%), fatigue (n = 6, 7.9%), and diarrhea/colitis (n = 4, 5.3%). Limitations included selecting patients from large academic centers and the short follow-up period. CONCLUSIONS AND CLINICAL IMPLICATIONS: A subset of patients with recurrent RCC following adjuvant IO respond to systemic therapies, including VEGF-TT and IO-based regimens. Notably, patients with favorable-risk disease may derive more benefit from VEGF-TT than from IO therapies in this setting. Future approaches utilizing radiographic tools and biomarker-based liquid biopsies are warranted to detect occult metastatic disease and identify candidate patients for adjuvant IO therapy. PATIENT SUMMARY: Adjuvant pembrolizumab significantly improved overall survival in renal cell carcinoma (RCC). There are limited data on clinical outcomes after the recurrence of RCC tumors following adjuvant immunotherapy. In this study, we find that patients respond to subsequent systemic therapies across different treatment options.

Optimal sequential therapy using tyrosine kinase inhibitors as the first-line treatment in patients with metastatic renal cell carcinoma: A nationwide multicenter study.

Objective: The purpose of the study was to identify the best sequence of therapy beginning with a tyrosine kinase inhibitor (TKI) as the first-line therapy for patients with metastatic renal cell carcinoma (mRCC) in terms of overall survival (OS), progression-free survival (PFS), and rates of discontinuation and adverse effects during the treatment period. Methods: This is a retrospective, nationwide multicenter study of patients with mRCC after diagnosis at 10 different tertiary medical centers in Korea from January 1992 to December 2017. We focused on patients at either "favorable" or "intermediate" risk according to the International mRCC Database Consortium criteria, and they were followed up (median 335 days). Finally, a total of 1409 patients were selected as the study population. We generated a Cox proportional hazard model adjusted for covariates, and the different therapy schemes were statistically tested in terms of OS as well as PFS. In addition, frequencies of discontinuation and adverse events were compared among the therapy schemes. Results: Of the primary patterns of treatment sequences (24 sequences), "sunitinib-pazopanib" and "sunitinib-everolimus-immunotherapy" showed the most beneficial results in both OS and PFS with significantly lower hazards than "sunitinib", which is the most commonly treated agent in Korea. Considering that the "TKI-TKI" structure showed relatively higher discontinuation rates with higher adverse effects, the overall beneficial sequence would be "sunitinib-everolimus-immunotherapy". Conclusion: Among several sequential therapy starting with TKIs, "sunitinib-everolimus- immunotherapy" was found to be the best scheme for mRCC patients with "favorable" or "intermediate" risks.

Changes in outcome of patients with advanced non-clear cell renal cell carcinoma from the tyrosine kinase inhibitor era to the immuno-oncology era.

BACKGROUND: The therapeutic benefit of immuno-oncology (IO) therapy for patients with advanced non-clear-cell renal cell carcinoma (nccRCC) remains unclear. PATIENTS AND METHODS: We reviewed clinical data from 93 patients with advanced nccRCC who received first-line systemic therapy including IO combination therapy and tyrosine kinase inhibitor (TKI) monotherapy at our affiliated institutions. Patients were divided based on the period when the treatment was implemented as the standard of care into the IO and TKI eras. Survival and tumor response outcomes were compared between the IO and TKI eras. RESULTS: Of the 93 patients, 50 (54%) and 43 (46%) were categorized as IO era and TKI era groups, respectively. Progression-free survival (PFS) and overall survival (OS) were significantly longer in the IO era than in the TKI era (median PFS: 8.97 vs. 4.96 months, p = 0.0152; median OS: 38.4 vs. 13.5 months, p = 0.0001). After the adjustment using other covariates, the treatment era was an independent factor for PFS (hazard ratio: 0.59, p = 0.0235) and OS (hazard ratio: 0.27, p < 0.0001). Objective response and disease control rates was not significantly different between the treatment eras (26% vs. 16.3%, p = 0.268; 62% vs. 62.8%, p = 0.594). CONCLUSION: The implementation of IO therapy was significantly associated with longer survival in the nccRCC population. Further studies are needed to establish a more effective treatment strategy in this population using multiple regimens of IO combination therapy.

Cabozantinib Induces Isolated Hyperbilirubinemia in Renal Cell Carcinoma Patients carrying the UGT1A1*28 Polymorphism.

BACKGROUND: Genetic variants of UGT1A1, involved in glucuronidation and clearance of bilirubin, are associated with reduced bilirubin metabolization and drug-induced isolated hyperbilirubinemia. We studied the impact of the UGT1A1*28 polymorphism on drug-induced isolated hyperbilirubinemia in metastatic renal cell carcinoma patients treated with pazopanib, cabozantinib, and axitinib. METHODS: We genotyped the UGT1A1*28 TA6/TA6-TA6/TA7-TA7/TA7 polymorphism and correlated with median baseline, on-treatment and peak bilirubin levels during therapy, incidence of grade-1- or -2 (G1/2)-hyperbilirubinemia and time-to-G1-hyperbilirubinemia. RESULTS: Of the 66 patients treated with pazopanib, 29 received axitinib and 28 cabozantinib upon progression. Median baseline bilirubin was higher in TA7/TA7-carriers versus TA6/TA6+TA6/TA7-carriers at start of pazopanib (P < .0001), cabozantinib (P < .0001), and axitinib (P = .007). During pazopanib therapy, median bilirubin increased 1.4-fold in TA7/TA7+TA6/TA7-carriers but not in TA6/TA6-carriers. On cabozantinib, bilirubin increased 1.5-fold in TA7/TA7-carriers but not in TA6/TA6+TA6/TA7-carriers. Axitinib did not increase bilirubin in any genotype. Peak bilirubin in TA7/TA7- versus TA6/TA6+TA6/TA7-carriers was higher on pazopanib (P < .0001) or cabozantinib (P < .0001). With pazopanib, G1-hyperbilirubinemia occurred in 57% of TA7/TA7- and 12% of TA6/TA6+TA6/TA7-carriers (P = .0009) and G2-hyperbilirubinemia in 36% and 6% of the patients, respectively (P = .004). On cabozantinib, G1-hyperbilirubinemia occurred in 100% of TA7/TA7- and 5% of TA6/TA6+TA6/TA7-carriers (P < .0001) and G2-hyperbilirubinemia in 33% and 0% of the patients, respectively (P = .04). On axitinib, no correlation between the genotypes and G1/2-hyperbilirubinemia was observed. CONCLUSION: We validate the previously described impact of the UGT1A1*28 polymorphism on isolated bilirubin increase on pazopanib. We report for the first time that cabozantinib also interferes with UGT1A1 and causes isolated bilirubin increase.

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.

[Box: see text].

AUY922 improves sensitivity to sunitinib in clear cell renal cell carcinoma based on network pharmacology and in vitro experiments.

Clear Cell Renal Cell Carcinoma (ccRCC), the most prevalent form of renal cell carcinoma (RCC), poses a significant threat to human health due to its rising morbidity and mortality rates. Sunitinib, a pivotal targeted drug for the treatment of ccRCC, presents a significant challenge due to the high susceptibility of ccRCC to resistance. HSP90 inhibitor AUY922 has demonstrated anti-tumor activity in a range of cancer types. However, its efficacy in combination with sunitinib for ccRCC treatment has not been evaluated. In this study, we employed bioinformatics, network pharmacology, and in vitro assays to verify that AUY922 inhibits cell viability, proliferation, and migration of ccRCC cell lines 786-O and ACHN, with IC50s of 91.86 µM for 786-O and 115.5 µM for ACHN. The effect of AUY922 enhancing the inhibitory effect of sunitinib on ccRCC was further confirmed. The CCK-8 assay demonstrated that the IC50 of sunitinib was reduced from 15.10 µM to 11.91 µM for 786-O and from 17.65 µM to 13.66 µM for ACHN, after the combined application of AUY922. The EdU assay and wound healing assay indicated that AUY922 augmented the inhibitory impact of sunitinib on the proliferation and migration of ccRCC cells. Western blot and RT-PCR analyses demonstrated that AUY922 increased the sensitivity of ccRCC cells to sunitinib by targeting the HIF-1α/VEGFA/VEGFR pathway. Our study represents the first investigation into the role and mechanism of AUY922 in enhancing the sensitivity of ccRCC to sunitinib. In conclusion, the findings indicate the potential for AUY922 to enhance the therapeutic efficacy of sunitinib and overcome sunitinib resistance in ccRCC.

Radiomics nomogram based on CT radiomics features and clinical factors for prediction of Ki-67 expression and prognosis in clear cell renal cell carcinoma: a two-center study.

OBJECTIVES: To develop and validate a radiomics nomogram combining radiomics features and clinical factors for preoperative evaluation of Ki-67 expression status and prognostic prediction in clear cell renal cell carcinoma (ccRCC). METHODS: Two medical centers of 185 ccRCC patients were included, and each of them formed a training group (n = 130) and a validation group (n = 55). The independent predictor of Ki-67 expression status was identified by univariate and multivariate regression, and radiomics features were extracted from the preoperative CT images. The maximum relevance minimum redundancy (mRMR) and the least absolute shrinkage and selection operator algorithm (LASSO) were used to identify the radiomics features that were most relevant for high Ki-67 expression. Subsequently, clinical model, radiomics signature (RS), and radiomics nomogram were established. The performance for prediction of Ki-67 expression status was validated using area under curve (AUC), calibration curve, Delong test, decision curve analysis (DCA). Prognostic prediction was assessed by survival curve and concordance index (C-index). RESULTS: Tumour size was the only independent predictor of Ki-67 expression status. Five radiomics features were finally identified to construct the RS (AUC: training group, 0.821; validation group, 0.799). The radiomics nomogram achieved a higher AUC (training group, 0.841; validation group, 0.814) and clinical net benefit. Besides, the radiomics nomogram provided a highest C-index (training group, 0.841; validation group, 0.820) in predicting prognosis for ccRCC patients. CONCLUSIONS: The radiomics nomogram can accurately predict the Ki-67 expression status and exhibit a great capacity for prognostic prediction in patients with ccRCC and may provide value for tailoring personalized treatment strategies and facilitating comprehensive clinical monitoring for ccRCC patients.

Fc receptor-like A promotes malignant behavior in renal cell carcinoma and correlates with tumor immune infiltration.

BACKGROUND: Our study aims to investigate the mechanisms through which Fc receptor-like A (FCRLA) promotes renal cell carcinoma (RCC) and to examine its significance in relation to tumor immune infiltration. MATERIALS AND METHODS: The correlation between FCRLA and data clinically related to RCC was explored using The Cancer Genome Atlas (TCGA), then validated using Gene Expression Omnibus (GEO) gene chip data. Enrichment and protein-protein interaction (PPI) network analyses were performed for FCRLA and its co-expressed genes. FCRLA was knocked down in RCC cell lines to evaluate its impact on biological behavior. Then the potential downstream regulators of FCRLA were determined by western blotting, and rescue experiments were performed for verification. The relevance between FCRLA and various immune cells was analyzed through GSEA, TIMER, and GEPIA tools. TIDE and ESTIMATE algorithms were used to predict the effect of FCRLA in immunotherapy. RESULTS: Fc receptor-like A was associated with clinical and T stages and could predict the M stage (AUC = 0.692) and 1-3- and 5-year survival rates (AUC = 0.823, 0.834, and 0.862) of RCC patients. Higher expression of FCLRA predicted an unfavorable overall survival (OS) in TCGA-RCC and GSE167573 datasets (p = 0.03, p = 0.04). FCRLA promoted the malignant biological behavior of RCC cells through the pERK1/2/-MMP2 pathway and was associated with tumor immune microenvironment in RCC. CONCLUSION: Fc receptor-like A is positively correlated with poor outcomes in RCC patients and plays an oncogenic role in RCC through the pERK1/2-MMP2 pathway. Patients with RCC might benefit from immunotherapy targeting FCRLA.

Prediction of clear cell renal cell carcinoma ≤ 4cm: visual assessment of ultrasound characteristics versus ultrasonographic radiomics analysis.

Objective: To investigate the diagnostic efficacy of the clinical ultrasound imaging model, ultrasonographic radiomics model, and comprehensive model based on ultrasonographic radiomics for the differentiation of small clear cell Renal Cell Carcinoma (ccRCC) and Renal Angiomyolipoma (RAML). Methods: The clinical, ultrasound, and contrast-enhanced CT(CECT) imaging data of 302 small renal tumors (maximum diameter ≤ 4cm) patients in Tianjin Medical University Cancer Institute and Hospital from June 2018 to June 2022 were retrospectively analyzed, with 182 patients of ccRCC and 120 patients of RAML. The ultrasound images of the largest diameter of renal tumors were manually segmented by ITK-SNAP software, and Pyradiomics (v3.0.1) module in Python 3.8.7 was applied to extract ultrasonographic radiomics features from ROI segmented images. The patients were randomly divided into training and internal validation cohorts in the ratio of 7:3. The Random Forest algorithm of the Sklearn module was applied to construct the clinical ultrasound imaging model, ultrasonographic radiomics model, and comprehensive model. The efficacy of the prediction models was verified in an independent external validation cohort consisting of 69 patients, from 230 small renal tumor patients in two different institutions. The Delong test compared the predictive ability of three models and CECT. Calibration Curve and clinical Decision Curve Analysis were applied to evaluate the model and determine the net benefit to patients. Results: 491 ultrasonographic radiomics features were extracted from 302 small renal tumor patients, and 9 ultrasonographic radiomics features were finally retained for modeling after regression and dimensionality reduction. In the internal validation cohort, the area under the curve (AUC), sensitivity, specificity, and accuracy of the clinical ultrasound imaging model, ultrasonographic radiomics model, comprehensive model, and CECT were 0.75, 76.7%, 60.0%, 70.0%; 0.80, 85.6%, 61.7%, 76.0%; 0.88, 90.6%, 76.7%, 85.0% and 0.90, 92.6%, 88.9%, 91.1%, respectively. In the external validation cohort, AUC, sensitivity, specificity, and accuracy of the three models and CECT were 0.73, 67.5%, 69.1%, 68.3%; 0.89, 86.7%, 80.0%, 83.5%; 0.90, 85.0%, 85.5%, 85.2% and 0.91, 94.6%, 88.3%, 91.3%, respectively. The DeLong test showed no significant difference between the clinical ultrasound imaging model and the ultrasonographic radiomics model (Z=-1.287, P=0.198). The comprehensive model showed superior diagnostic performance than the ultrasonographic radiomics model (Z=4. 394, P<0.001) and the clinical ultrasound imaging model (Z=4. 732, P<0.001). Moreover, there was no significant difference in AUC between the comprehensive model and CECT (Z=-0.252, P=0.801). Both in the internal and external validation cohort, the Calibration Curve and Decision Curve Analysis showed a better performance of the comprehensive model. Conclusion: It is feasible to construct an ultrasonographic radiomics model for distinguishing small ccRCC and RAML based on ultrasound images, and the diagnostic performance of the comprehensive model is superior to the clinical ultrasound imaging model and ultrasonographic radiomics model, similar to that of CECT.

Targeted therapies in children with renal cell carcinoma (RCC): An International Society of Pediatric Oncology-Renal Tumor Study Group (SIOP-RTSG)-related retrospective descriptive study.

INTRODUCTION: Introduction: Renal cell carcinoma (RCC) is a very rare pediatric renal tumor. Robust evidence to guide treatment is lacking and knowledge on targeted therapies and immunotherapy is mainly based on adult studies. Currently, the International Society of Pediatric Oncology-Renal Tumor Study Group (SIOP-RTSG) 2016 UMBRELLA protocol recommends sunitinib for metastatic or unresectable RCC. METHODS: This retrospective study describes the effects of tyrosine kinase inhibitors (TKI), anti-programmed cell death 1 (PD-(L)1) monoclonal antibodies, and immunotherapeutic regimens in advanced-stage and relapsed pediatric RCC. RESULTS: Of the 31 identified patients (0-18 years) with histologically proven RCC, 3/31 presented with TNM stage I/II, 8/31 with TNM stage III, and 20/31 with TNM stage IV at diagnosis. The majority were diagnosed with translocation type RCC (MiT-RCC) (21/31) and the remaining patients mainly presented with papillary or clear-cell RCC. Treatment in a neoadjuvant or adjuvant setting, or upon relapse or progression, included mono- or combination therapy with a large variety of drugs, illustrating center specific choices in most patients. Sunitinib was often administered as first choice and predominantly resulted in stable disease (53%). Other frequently used drugs included axitinib, cabozantinib, sorafenib, and nivolumab; however, no treatment seemed more promising than sunitinib. Overall, 15/31 patients died of disease, 12/31 are alive with active disease, and only four patients had a complete response. The sample size and heterogeneity of this cohort only allowed descriptive statistical analysis. CONCLUSION: This study provides an overview of a unique series of clinical and treatment characteristics of pediatric patients with RCC treated with targeted therapies.

Real-world Treatment Sequencing and Outcomes With Cabozantinib After First-line Immune Checkpoint Inhibitor-based Combination Therapy For Patients With Advanced Renal Cell Carcinoma: CARINA Study Results.

INTRODUCTION: Real-world data are limited on treatment sequencing and outcomes after first-line (1L) immune checkpoint inhibitor (CPI)-based combination treatment of advanced renal cell carcinoma (aRCC). PATIENTS AND METHODS: In this real-world, UK-based, retrospective study (CARINA; NCT04957160), data were obtained from hospital and electronic prescribing records. Patients were aged ≥ 18 years at aRCC diagnosis and had received 1L CPI-CPI or tyrosine kinase inhibitor (TKI)-CPI combination therapy before second-line (2L) therapy including cabozantinib. We describe treatment outcomes including 1L and 2L durations of treatment (DoT) and overall survival (OS). RESULTS: Data from April 2015 to June 2022 were collected on 281 patients from nine UK centres. Median 1L DoT was 2.3 months for CPI-CPI therapy (n = 171) and 5.0 months for TKI-CPI therapy (n = 58). After 1L CPI-CPI or TKI-CPI therapy, median 2L DoT was 5.8 versus 4.2 months, respectively, for cabozantinib (n = 163), and 3.8 versus 2.4 months for other therapies (n = 118); median 2L OS was 15.2 and 15.3 months, respectively, for cabozantinib, and 14.6 and 24.2 months for other therapies. CONCLUSION: DoT for 2L treatment was numerically better for cabozantinib than for other therapies, and after 1L CPI-CPI therapy than after 1L TKI-CPI therapy. Median OS was similar for 2L cabozantinib and other 2L therapies, and median OS for 2L cabozantinib was similar after both 1L therapy types. These results demonstrate the antitumour effect of 2L therapies, including cabozantinib, after 1L CPI-based combination treatment, regardless of whether 1L CPI-CPI or TKI-CPI therapy is used.

Clinical Outcomes and Targeted Genomic Analysis of Renal Cell Carcinoma Brain Metastases Treated with Stereotactic Radiosurgery.

BACKGROUND: Molecular profiles of renal cell carcinoma (RCC) brain metastases (BMs) are not well characterized. Effective management with locoregional therapies, including stereotactic radiosurgery (SRS), is critical as systemic therapy advancements have improved overall survival (OS). OBJECTIVE: To identify clinicogenomic features of RCC BMs treated with SRS in a large patient cohort. DESIGN, SETTING, AND PARTICIPANTS: A single-institution retrospective analysis was conducted of all RCC BM patients treated with SRS from January 1, 2010 to March 31, 2021. INTERVENTION: SRS for RCC BMs. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Next-generation sequencing was performed to identify gene alterations more prevalent in BM patients. Clinical factors and genes altered in ≥10% of samples were assessed per patient using Cox proportional hazards models and per individual BM using clustered competing risks regression with competing risk of death. RESULTS AND LIMITATIONS: Ninety-one RCC BM patients underwent SRS to 212 BMs, with a median follow-up of 38.8 mo for patients who survived. The median intracranial progression-free survival and OS were 7.8 (interquartile range [IQR] 5.7-11) and 21 (IQR 16-32) mo, respectively. Durable local control of 83% was achieved at 12 mo after SRS, and 59% of lesions initially meeting the radiographic criteria for progression at 3-mo evaluation would be considered to represent pseudoprogression at 6-mo evaluation. A comparison of genomic alterations at both the gene and the pathway level for BM+ patients compared with BM- patients revealed phosphoinositide 3-kinase (PI3K) pathway alterations to be more prevalent in BM+ patients (43% vs 16%, p = 0.001, q = 0.01), with the majority being PTEN alterations (17% vs 2.7%, p = 0.003, q = 0.041). CONCLUSIONS: To our knowledge, this is the largest study investigating genomic profiles of RCC BMs and the only such study with annotated intracranial outcomes. SRS provides durable in-field local control of BMs. Recognizing post-SRS pseudoprogression is crucial to ensure appropriate management. The incidence of PI3K pathway alterations is more prevalent in BM+ patients than in BM- patients and warrants further investigation in a prospective setting. PATIENT SUMMARY: We examined the outcomes of radiotherapy for the treatment of brain metastases in kidney cancer patients at a single large referral center. We found that radiation provides good control of brain tumors, and certain genetic mutations may be found more commonly in patients with brain metastasis.

Comparative analysis of dual immune checkpoint inhibitor combination therapy versus immune checkpoint inhibitor plus tyrosine kinase inhibitor combination therapy for renal cell carcinoma with inferior vena cava tumor thrombosis.

BACKGROUND: Whether immune checkpoint inhibitor (ICI) plus ICI combination therapy or ICI plus tyrosine kinase inhibitor (TKI) combination therapy is useful for renal cell carcinoma (RCC) with inferior vena cava tumor thrombosis (IVCTT) remains unclear. METHODS: We retrospectively evaluated the therapeutic effects and incidence of treatment-related adverse events (TRAEs) associated with ICI-based combination therapy in 36 patients with advanced RCC with IVCTT. RESULTS: The median age at initiation of treatment was 71 years; the IVCTT stages were cT3b in 22 patients and cT3c in 14. The ICI-ICI and ICI-TKI groups comprised 15 and 21 patients, respectively. Median tumor shrinkage at the best response showed that the primary tumor diameter decreased by 1.8 cm (22%), and the IVCTT height decreased by 1.5 cm (26%). A higher proportion of patients in the ICI-TKI group experienced tumor shrinkage than those in the ICI-ICI group (primary tumor, p = 0.0325; IVCTT, p = 0.0112). Approximately 27% of patients experienced an increase in the IVCTT height with ICI-ICI combination therapy. No significant difference was observed in the relative tumor shrinkage of IVCTT, primary or level-down staging of IVCTT, other treatment effects, incidence of TRAEs, surgical outcomes, or prognosis between the groups. CONCLUSION: ICI-based combination therapy is effective against IVCTT and primary RCC. Although ICI-ICI is associated with a higher probability of tumor growth compared with ICI-TKI in the frequency of tumor regression, both therapies may be almost equally effective against primary RCC with IVCTT.

An unusual occurrence of multiple primary malignant neoplasms: a case report and narrative review.

Introduction: Multiple primary malignant neoplasms (MPMNs) are cancers presenting distinct pathological types that originate from different tissues or organs. They are categorized as either synchronous or metachronous. Nowadays, the incidence of MPMN is increasing. Patients and methods: We present a case of a 71-year-old male patient with a medical history of hepatitis B and a family history of breast and endometrial cancers. The patient reported a nasal tip skin lesion with recurrent bleeding, and the history disclosed lower urinary tract symptoms. Further investigations revealed the coexistence of four primary cancers: basosquamous carcinoma of the nasal lesion, prostatic adenocarcinoma, hepatocellular carcinoma, and clear cell renal cell carcinoma. Results: A multidisciplinary team cooperated to decide the proper diagnostic and therapeutic modules. Conclusion: To the best of our knowledge, the synchronization of these four primary cancers has never been reported in the literature. Even so, multiple primary malignant neoplasms, in general, are no longer a rare entity and need proper explanations, a precise representation of definition and incidence, further work-up approaches, and treatment guidelines as well.

Implication of KMT2C and TSC2 variants in the tumorigenesis of acquired cystic disease-associated renal cell carcinomas.

In 2020, acquired cystic disease-associated renal cell carcinomas (ACD-RCCs) were reported to harbor KMT2C and TSC2 variants: however, their carcinogenic implication has not yet been reported. This study aimed to explore the variant features of KMT2C and TSC2 in ACD-RCC and their implication in ACD-RCC tumorigenesis. Eleven ACD-RCCs, 10 ACD-RCC-like cysts, and 18 background kidneys were retrieved. The background kidneys consisted of atrophic thyroid follicle-like tubules. They included four with clustered cysts, two with eosinophilic changes, and one each with clear cell changes and sieve-like changes in the renal tubules. First, DNA-targeted sequencing of KMT2C and TSC2 whole exons was performed on eight ACD-RCC samples. Subsequently, a custom DNA panel was designed to include the recurrent KMT2C and TSC2 variants based on the sequencing results. Second, DNA-targeted sequencing was performed on the remaining samples using a custom panel targeting the recurrent variants. Additionally, immunohistochemistry was performed for KMTC, H3K4me1, H3K4me3, TSC2, and GPNMB on the ACD-RCCs. Six of the 11 ACD-RCC cases harbored KMT2C and TSC2 variants, including nine likely pathogenic variants. In contrast to ACD-RCC, 1 of the 9 ACD-RCC-like cysts harbored both variants. Immunohistochemical analysis did not support the loss of function in ACD-RCCs harboring KMT2C and TSC2 variants. KMT2C and TSC2 variant frequencies were higher in ACD-RCC than in other renal cell carcinomas. However, KMT2C and TSC2 are unlikely to be the primary drivers of ACD-RCC development.