Decomposing difference in the kidney cancer burden measures between 1990 and 2019 based on the global burden of disease study.

The kidney cancer (KC) burden measures have changed dramatically in recent years due to changes in exposure to the determinants over time. We aimed to decompose the difference in the KC burden measures between 1990 and 2019. This ecological study included data on the KC burden measures as well as socio-demographic index (SDI), behavioral, dietary, and metabolic risk factors from the global burden of disease study. Non-linear multivariate decomposition analysis was applied to decompose the difference in the burden of KC. Globally, ASIR, ASMR, and ASDR of KC increased from 2.88 to 4.37, from 1.70 to 2.16, and from 46.13 to 54.96 per 100,000 people between 1990 and 2019, respectively. The global burden of KC was more concentrated in developed countries. From 1990 to 2019, the burden of KC has increased the most in Eastern European countries. More than 70% of the difference in the KC burden measures between 1990 and 2019 was due to changes in exposure to the risk factors over time. The SDI, high body mass index (BMI), and alcohol use had the greatest contribution to the difference in the KC burden measures. Changes in characteristics over time, including SDI, high BMI, and alcohol consumption, appear to be important in the evolving landscape of KC worldwide. This finding may help policymakers design policies and implement prevention programs to control and manage KC.

A Bayesian hierarchical hidden Markov model for clustering and gene selection: Application to kidney cancer gene expression data.

We introduce a Bayesian approach for biclustering that accounts for the prior functional dependence between genes using hidden Markov models (HMMs). We utilize biological knowledge gathered from gene ontologies and the hidden Markov structure to capture the potential coexpression of neighboring genes. Our interpretable model-based clustering characterized each cluster of samples by three groups of features: overexpressed, underexpressed, and irrelevant features. The proposed methods have been implemented in an R package and are used to analyze both the simulated data and The Cancer Genome Atlas kidney cancer data.

Changes in disease burden and global inequalities in bladder, kidney and prostate cancers from 1990 to 2019: a comparative analysis based on the global burden of disease study 2019.

BACKGROUND: Bladder, kidney and prostate cancers make significant contributors to cancer burdens. Exploring their cross-country inequalities may inform equitable strategies to meet the 17 sustainable development goals before 2030. METHODS: We analyzed age-standardized disability-adjusted life-years (ASDALY) rates for the three cancers based on Global Burden of Diseases Study 2019. We quantified the inequalities using slope index of inequality (SII, absolute measure) and concentration index (relative measure) associated with national sociodemographic index. RESULTS: Varied ASDALY rates were observed in the three cancers across 204 regions. The SII decreased from 35.15 (95% confidence interval, CI: 29.34 to 39.17) in 1990 to 15.81 (95% CI: 7.99 to 21.79) in 2019 for bladder cancers, from 78.94 (95% CI: 75.97 to 81.31) in 1990 to 59.79 (95% CI: 55.32 to 63.83) in 2019 for kidney cancer, and from 192.27 (95% CI: 137.00 to 241.05) in 1990 to - 103.99 (95% CI: - 183.82 to 51.75) in 2019 for prostate cancer. Moreover, the concentration index changed from 12.44 (95% CI, 11.86 to 12.74) in 1990 to 15.72 (95% CI, 15.14 to 16.01) in 2019 for bladder cancer, from 33.88 (95% CI: 33.35 to 34.17) in 1990 to 31.13 (95% CI: 30.36 to 31.43) in 2019 for kidney cancer, and from 14.61 (95% CI: 13.89 to 14.84) in 1990 to 5.89 (95% CI: 5.16 to 6.26) in 2019 for prostate cancer. Notably, the males presented higher inequality than females in both bladder and kidney cancer from 1990 to 2019. CONCLUSIONS: Different patterns of inequality were observed in the three cancers, necessitating tailored national cancer control strategies to mitigate disparities. Priority interventions for bladder and kidney cancer should target higher socioeconomic regions, whereas interventions for prostate cancer should prioritize the lowest socioeconomic regions. Additionally, addressing higher inequality in males requires more intensive interventions among males from higher socioeconomic regions.

Comprehensive prognostic assessment in kidney cancer: A multidimensional approach analyzing Fufang Sanling granules, genetic variants, and immune infiltration.

This study delves into the potential therapeutic benefits of Fufang Sanling Granules for kidney cancer, focusing on their active components and the underlying mechanisms of their interaction with cancer-related targets. By constructing a drug-active component-target network based on eight herbs, key active compounds such as kaempferol, quercetin, and linolenic acid were identified, suggesting their pivotal roles in modulating immune responses and cellular signaling pathways relevant to cancer progression. The research further identified 51 central drug-disease genes through comprehensive bioinformatics analyses, implicating their involvement in crucial biological processes and pathways. A novel risk score model, encompassing six genes with significant prognostic value for renal cancer, was established and validated, showcasing its effectiveness in predicting patient outcomes through mutation analysis and survival studies. The model's predictive power was further confirmed by its ability to stratify patients into distinct risk groups with significant survival differences, highlighting its potential as a prognostic tool. Additionally, the study explored the relationship between gene expression within the identified black module and the risk score, uncovering significant associations with the extracellular matrix and immune infiltration patterns. This reveals the complex interplay between the tumor microenvironment and cancer progression. The integration of the risk score with clinical parameters through a nomogram significantly improved the model's predictive accuracy, offering a more comprehensive tool for predicting kidney cancer prognosis. In summary, by combining detailed molecular analyses with clinical insights, this study presents a robust framework for understanding the therapeutic potential of Fufang Sanling Granules in kidney cancer. It not only sheds light on the active components and their interactions with cancer-related genes but also introduces a reliable risk score model, paving the way for personalized treatment strategies and improved patient management in the future.

The global, regional, and national burden and quality of care index of kidney cancer; a global burden of disease systematic analysis 1990-2019.

Kidney cancer (KC) is a prevalent cancer worldwide. The incidence and mortality rates of KC have risen in recent decades. The quality of care provided to KC patients is a concern for public health. Considering the importance of KC, in this study, we aim to assess the burden of the disease, gender and age disparities globally, regionally, and nationally to evaluate the quality and inequities of KC care. The 2019 Global Burden of Disease study provides data on the burden of the KC. The secondary indices, including mortality-to-incidence ratio, disability-adjusted life years -to-prevalence ratio, prevalence-to-incidence ratio, and years of life lost-to-years lived with disability ratio, were utilized. These four newly merged indices were converted to the quality-of-care index (QCI) as a summary measure using principal component analysis. QCI ranged between 0 and 100, and higher amounts of QCI indicate higher quality of care. Gender disparity ratio was calculated by dividing QCI for females by males to show gender inequity. The global age-standardized incidence and mortality rates of KC increased by 29.1% (95% uncertainty interval 18.7-40.7) and 11.6% (4.6-20.0) between 1990 and 2019, respectively. Globally, the QCI score for KC increased by 14.6% during 30 years, from 71.3 to 81.6. From 1990 to 2019, the QCI score has increased in all socio-demographic index (SDI) quintiles. By 2019, the highest QCI score was in regions with a high SDI (93.0), and the lowest was in low SDI quintiles (38.2). Based on the World Health Organization regions, the QCI score was highest in the region of America, with Canada having the highest score (99.6) and the lowest in the African Region, where the Central African Republic scored the lowest (17.2). In 1990, the gender disparity ratio was 0.98, and in 2019, it was 0.97 showing an almost similar QCI score for females and males. Although the quality of care for KC has improved from 1990 to 2019, there is a significant gap between nations and different socioeconomic levels. This study provides clinicians and health authorities with a global perspective on the quality of care for KC and identifies the existing disparities.

Risk-stratified screening for the early detection of kidney cancer.

Earlier detection and screening for kidney cancer has been identified as a key research priority, however the low prevalence of the disease in unselected populations limits the cost-effectiveness of screening. Risk-stratified screening for kidney cancer may improve early detection by targeting high-risk individuals whilst limiting harms in low-risk individuals, potentially increasing the cost-effectiveness of screening. A number of models have been identified which estimate kidney cancer risk based on both phenotypic and genetic data, and while several of the former have been shown to identify individuals at high-risk of developing kidney cancer with reasonable accuracy, current evidence does not support including a genetic component. Combined screening for lung cancer and kidney cancer has been proposed, as the two malignancies share some common risk factors. A modelling study estimated that using lung cancer risk models (currently used for risk-stratified lung cancer screening) could capture 25% of patients with kidney cancer, which is only slightly lower than using the best performing kidney cancer-specific risk models based on phenotypic data (27%-33%). Additionally, risk-stratified screening for kidney cancer has been shown to be acceptable to the public. The following review summarises existing evidence regarding risk-stratified screening for kidney cancer, highlighting the risks and benefits, as well as exploring the management of potential harms and further research needs.

Impact of healthcare inequities on survival in Mexican patients with metastatic renal cell carcinoma.

Introduction: The survival of patients with metastatic renal cell carcinoma (mRCC) has improved dramatically due to novel systemic treatments. However, mRCC mortality continues to rise in Latin America. Methods: A retrospective, multicenter study of patients diagnosed with mRCC between 2010-2018 in Mexico City was conducted. The aim of the study was to evaluate the impact of healthcare insurance on access to treatment and survival in patients with mRCC. Results: Among 924 patients, 55.4%, 42.6%, and 1.9% had no insurance (NI), social security, (SS) and private insurance (PI), respectively. De novo metastatic disease was more common in NI patients (70.9%) compared to SS (47.2%) and PI (55.6%) patients (p<0.001). According to IMDC Prognostic Index, 20.2% were classified as favorable, 49% as intermediate, and 30.8% as poor-risk disease. Access to systemic treatment differed by healthcare insurance: 36.1%, 99.5%, and 100% for the NI, SS, and PI patients, respectively (p<0.001). NI patients received fewer lines of treatment, with 24.8% receiving only one line of treatment (p<0.001). Median overall survival (OS) was 13.9 months for NI, 98.9 months for SS, and 147.6 months for NI patients (p<0.001). In multivariate analysis, NI status, brain metastases, sarcomatoid features, bone metastases, no treatment were significantly associated with worse OS. Conclusion: OS in mRCC was affected by insurance availability in this resource-limited cohort of Mexican patients. These results underscore the need for effective strategies to achieve equitable healthcare access in an era of effective, yet costly systemic treatments.

One-year healthcare costs after robotic-assisted and laparoscopic partial and radical nephrectomy: a cohort study.

OBJECTIVE: Despite the wide-spread adoption of robotic-assisted surgery (RAS), the cost-benefit implications for partial (PN) and radical nephrectomy (RN) versus laparoscopic surgery (Lap) is not well established. We sought to examine the trend of adoption and 1-year healthcare expenditure of PN and RN, and compare 1-year expenditures of RAS versus Lap for PN and RN. PATIENTS AND METHODS: This cohort study used the MerativeTM MarketScan® Databases between 2013 and 2020. A total of 5,353 patients with kidney cancer undergoing PN (2,980, 55.7%) or RN (2,373, 44.3%). We compared open-conversion, length of stay (LOS), index expenditure, 1-year healthcare expenditure and utilization, and missed work-days between RAS and Lap for PN and RN. RESULTS: Adoption of PN increased overtime (47.0% to 55.8%), mainly driven by robotic PN increase. Among PN, RAS had lower open-conversion, shorter LOS and lower index expenditure than Lap. Among RN, RAS had shorter LOS, and similar open-conversion and index expenditures. During 1-year post-discharge, RAS had lower hospital outpatient visits (IRR = 0.92, 95% CI = 0.85, 0.99, p = 0.029) and office-based visits (IRR = 0.91, 95% CI = 0.86, 0.96, p = 0.002) for PN, translating to a 1-day less (95% CI = 0.25, 1.75, p = 0.008) missed from work for RAS. Following RN, RAS had lower 1-year readmission than Lap (O.R = 0.72, 95% CI = 0.55, 0.94, p = 0.018). RAS and Lap had comparable 1-year post-discharge expenditures for both PN (mean difference, MD = -$475, 95% CI = -$4362, $3412, p = 0.810) and RN (MD = -$4,204, 95% CI = -$13,837, $5430, p = 0.404). CONCLUSION: At index surgery, RAS was associated with shorter LOS for both PN and RN, and lower open-conversion and expenditures for PN. RAS and Lap had comparable 1-year total expenditures, despite lower healthcare visits for RAS.

Assessment of the VENUSS and GRANT Models for Individual Prediction of Cancer-specific Survival in Surgically Treated Nonmetastatic Papillary Renal Cell Carcinoma.

Background: Guidelines recommend VENUSS and GRANT models for the prediction of cancer control outcomes after nephrectomy for nonmetastatic papillary renal cell carcinoma (pRCC). Objective: To test the ability of VENUSS and GRANT models to predict 5-yr cancer-specific survival in a North American population. Design setting and participants: For this retrospective study, we identified 4184 patients with unilateral surgically treated nonmetastatic pRCC in the Surveillance, Epidemiology, and End Results database (2004-2019). Outcome measurements and statistical analysis: The original VENUSS and GRANT risk categories were applied to predict 5-yr cancer-specific survival. A cross-validation method was used to test the accuracy and calibration of the models and to conduct decision curve analyses for the study cohort. Results and limitations: The VENUSS and GRANT categories represented independent predictors of cancer-specific mortality. On cross-validation, the accuracy of the VENUSS and GRANT risk categories was 0.73 and 0.65, respectively. Both models showed good calibration and performed better than random predictions in decision curve analysis. Limitations include the retrospective nature of the study and the absence of a central pathological review. Conclusion: VENUSS risk categories fulfilled prognostic model criteria for predicting cancer-specific survival 5 yr after surgery in North American patients with nonmetastatic pRCC as recommended by guidelines. Conversely, GRANT risk categories did not. Thus, VENUSS risk categories represent an important tool for counseling, follow-up planning, and patient selection for appropriate adjuvant trials in pRCC. Patient summary: We tested the ability of two validated methods (VENUSS and GRANT) to predict death due to papillary kidney cancer in a North American population. The VENUSS risk categories showed good performance in predicting 5-year cancer-specific survival.

Late complications and 5 years outcomes of robotic partial nephrectomy in France: prospective assessment in the French Kidney Cancer Research Network (UroCCR 10).

PURPOSE: To describe the practice of robotic-assisted partial nephrectomy (RAPN) in France and prospectively assess the late complications and long-term outcomes. METHODS: Prospective, multicenter (n = 16), observational study including all patients diagnosed with a renal tumor who underwent RAPN. Preoperative, intraoperative, postoperative, and follow-up data were collected and stored in the French research network for kidney cancer database (UroCCR). Patients were included over a period of 12 months, then followed for 5 years. RESULTS: In total, 466 patients were included, representing 472 RAPN. The mean tumor size was 3.4 ± 1.7 cm, most of moderate complexity (median PADUA and RENAL scores of 8 [7-10] and 7 [5-9]). Indication for nephron-sparing surgery was relative in 7.1% of cases and imperative in 11.8%. Intraoperative complications occurred in 6.8% of patients and 4.2% of RAPN had to be converted to open surgery. Severe postoperative complications were experienced in 2.3% of patients and late complications in 48 patients (10.3%), mostly within the first 3 months and mainly comprising vascular, infectious, or parietal complications. At 5 years, 29 patients (6.2%) had chronic kidney disease upstaging, 21 (4.5%) were diagnosed with local recurrence, eight (1.7%) with contralateral recurrence, 25 (5.4%) with metastatic progression, and 10 (2.1%) died of the disease. CONCLUSION: Our results reflect the contemporary practice of French expert centers and is, to our knowledge, the first to provide prospective data on late complications associated with RAPN. We have shown that RAPN provides good functional and oncologic outcomes while limiting short- and long-term morbidity. TRIAL REGISTRATION: NCT03292549.

Patient-centered outcomes of telehealth for the care of rural-residing patients with urologic cancer.

BACKGROUND: Patients residing in rural areas with urologic cancers confront significant obstacles in obtaining oncologic care. In the Pacific Northwest, a sizeable portion of the population lives in a rural county. Telehealth offers a potential access solution. METHODS: Patients receiving urologic care through telehealth or an in-person appointment at the Fred Hutchinson Cancer Center in Seattle, Washington, were surveyed to assess appointment-related satisfaction and travel costs. Patients' residences were classified as rural or urban based on their self-reported ZIP code. Median patient satisfaction scores and appointment-related travel costs were compared by rural versus urban residence within telehealth and in-person appointment groups using Wilcoxon signed-rank or χ2 testing. RESULTS: A total of 1091 patients seen for urologic cancer care between June 2019 and April 2022 were included, 28.7% of which resided in a rural county. Patients were mostly non-Hispanic White (75%) and covered by Medicare (58%). Among rural-residing patients, telehealth and in-person appointment groups had the same median satisfaction score (61; interquartile ratio, 58, 63). More rural-residing than urban-residing patients in the telehealth appointment groups strongly agreed that "Considering the cost and time commitment of my appointment, I would choose to meet with my provider in this setting in the future" (67% vs. 58%, p = .03). Rural-residing patients with in-person appointments carried a higher financial burden than those with telehealth appointments (medians, $80 vs. $0; p <.001). CONCLUSIONS: Appointment-related costs are high among rural-residing patients traveling for urologic oncologic care. Telehealth provides an affordable solution that does not compromise patient satisfaction.

Individualized assessment predictive models for risk and overall survival in elderly patients of primary kidney cancer with bone metastases: A large population-based study.

Background: Elderly people are at high risk of metastatic kidney cancer (KC), and, the bone is one of the most common metastatic sites for metastatic KC. However, studies on diagnostic and prognostic prediction models for bone metastases (BM) in elderly KC patients are still vacant. Therefore, it is necessary to establish new diagnostic and prognostic nomograms. Methods: We downloaded the data of all KC patients aged more than 65 years during 2010-2015 from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic regression analyses were used to study independent risk factors of BM in elderly KC patients. Univariate and multivariate Cox regression analysis for the study of independent prognostic factors in elderly KCBM patients. Survival differences were studied using Kaplan-Meier (K-M) survival analysis. The predictive efficacy and clinical utility of nomograms were assessed by receiver operating characteristic (ROC) curve, the area under curve (AUC), calibration curve, and decision curve analysis (DCA). Results: A final total of 17,404 elderly KC patients (training set: n = 12,184, validation set: n = 5,220) were included to study the risk of BM. 394 elderly KCBM patients (training set: n = 278, validation set: n = 116) were included to study the overall survival (OS). Age, histological type, tumor size, grade, T/N stage and brain/liver/lung metastasis were identified as independent risk factors for developing BM in elderly KC patients. Surgery, lung/liver metastasis and T stage were identified as independent prognostic factors in elderly KCBM patients. The diagnostic nomogram had AUCs of 0.859 and 0.850 in the training and validation sets, respectively. The AUCs of the prognostic nomogram in predicting OS at 12, 24 and 36 months were: training set (0.742, 0.775, 0.787), and validation set (0.721, 0.827, 0.799), respectively. The calibration curve and DCA also showed excellent clinical utility of the two nomograms. Conclusion: Two new nomograms were constructed and validated to predict the risk of developing BM in elderly KC patients and 12-, 24-, and 36-months OS in elderly KCBM patients. These models can help surgeons provide more comprehensive and personalized clinical management programs for this population.

Qualitative Assessment of Contrast-Enhanced Ultrasound in Differentiating Clear Cell Renal Cell Carcinoma and Oncocytoma.

BACKGROUND: We aimed to assess whether clear cell renal cell carcinoma (ccRCC) can be differentiated from renal oncocytoma (RO) on a contrast-enhanced ultrasound (CEUS). METHODS: Between January 2021 and October 2022, we retrospectively queried and analyzed our prospectively maintained dataset. Renal mass features were scrutinized with conventional ultrasound imaging (CUS) and CEUS. All lesions were confirmed by histopathologic diagnoses after nephron-sparing surgery (NSS). A multivariable analysis was performed to identify the potential predictors of ccRCC. The area under the curve (AUC) was depicted in order to assess the diagnostic accuracy of the multivariable model. RESULTS: A total of 126 renal masses, including 103 (81.7%) ccRCC and 23 (18.3%) RO, matched our inclusion criteria. Among these two groups, we found significant differences in terms of enhancement (homogeneous vs. heterogeneous) (p < 0.001), wash-in (fast vs. synchronous/slow) (p = 0.004), wash-out (fast vs. synchronous/slow) (p = 0.001), and rim-like enhancement (p < 0.001). On the multivariate logistic regression, heterogeneous enhancement (OR: 19.37; p = <0.001) and rim-like enhancement (OR: 3.73; p = 0.049) were independent predictors of ccRCC. Finally, these two variables had an AUC of 82.5% and 75.3%, respectively. CONCLUSIONS: Diagnostic imaging for presurgical planning is crucial in the choice of either conservative or radical management. CEUS, with its unique features, revealed its usefulness in differentiating ccRCC from RO.

Cost-Effectiveness Analysis of Pembrolizumab as an Adjuvant Treatment of Renal Cell Carcinoma Post-nephrectomy in the United States.

INTRODUCTION: Pembrolizumab was recently approved as an adjuvant treatment of renal cell carcinoma (RCC), based on prolonged disease-free survival compared to placebo in the phase III KEYNOTE-564 trial. The objective of this study was to evaluate the cost-effectiveness of pembrolizumab as monotherapy in the adjuvant treatment of RCC post-nephrectomy, from a US health sector perspective. PATIENTS AND METHODS: A Markov model with 4 health states (disease-free, locoregional recurrence, distant metastases, and death) was developed to compare the cost and effectiveness of pembrolizumab versus routine surveillance or sunitinib. Transition probabilities were estimated using patient-level KEYNOTE-564 data (cutoff: June 14, 2021), a retrospective study, and published literature. Costs of adjuvant and subsequent treatments, adverse events, disease management, and terminal care were estimated in 2022 US$. Utilities were based on EQ-5D-5L data collected in KEYNOTE-564. Outcomes included costs, life-years (LYs), and quality-adjusted LYs (QALYs). Robustness was assessed through one-way and probabilistic sensitivity analyses. RESULTS: Total cost per patient was $549,353 for pembrolizumab, $505,094 for routine surveillance, and $602,065 for sunitinib. Over a lifetime, pembrolizumab provided gains of 0.96 QALYs (1.00 LYs) compared to routine surveillance, yielding an incremental cost-effectiveness ratio of $46,327/QALY. Pembrolizumab dominated sunitinib with 0.89 QALYs (0.91 LYs) gained while saving costs. At a $150,000/QALY threshold, pembrolizumab was cost-effective versus both routine surveillance and sunitinib in 84.2% of probabilistic simulations. CONCLUSION: Pembrolizumab is projected to be cost-effective as an adjuvant RCC treatment versus routine surveillance or sunitinib based on a typical willingness-to-pay threshold.

Assessing the impact of kidney cancer-related premature mortality and productivity loss in Greece and Portugal.

OBJECTIVE: In 2018, 371,750 people were diagnosed with kidney cancer globally, constituting 2.2% of all cancer diagnoses. Since 2010, the number of kidney cancer deaths in Europe have decreased in people under 65. However, this is not the case in Greece and Portugal. This study estimated the mortality and lost productivity due to premature mortality from kidney cancer in Greece and Portugal. METHODS: Years of life lost (YLL) and present value of future lost productivity (PVFLP) due to kidney cancer mortality (ICD-10 code: C64 - Malignant neoplasm of kidney, except renal pelvis) were calculated using the human capital approach. Age-specific mortality, mean earnings, and labor force participation rates were used in these calculations. RESULTS: In 2019, there were 564 and 454 kidney cancer deaths in Greece and Portugal, respectively, resulting in 5,871 (3,636 in males and 2,234 in females) and 5,397 (3,100 in males and 2,297 in females) YLL, respectively. YPLL and annual PVFLP were estimated to be 1,326 and €14.8 M in Greece and 1,278 and €11.8 M in Portugal, respectively. CONCLUSION: YLL and PVFLP due to kidney cancer mortality are substantial in Greece and Portugal. These results provide new evidence to assist decision-makers in allocating resources to reduce cancer burden.

Geriatric assessment in the older adult with genitourinary cancer: A narrative review.

Genitourinary (GU) cancers including bladder, prostate, and kidney cancers affect older adults with a higher prevalence compared to younger adults. GU cancer treatment is associated with poorer outcomes in older adults compared to their younger counterparts. To better identify and support older adults receiving cancer care, oncologic societies recommend the use of a geriatric assessment (GA) to guide management. However, little is known about the implementation and usefulness of the GA in older adults with GU cancers. We performed a narrative review to investigate the utility of the GA in older adults with GU cancers and propose strategies to optimize the real-world use of the GA. Here, we describe a framework to incorporate GA into the routine cancer care of older adults with GU cancers and provide several implications for future research.

Assessment of Diagnosis, Prognosis and Immune Infiltration Response to the Expression of the Ferroptosis-Related Molecule HAMP in Clear Cell Renal Cell Carcinoma.

BACKGROUND: Hepcidin antimicrobial peptide (HAMP) is a key factor in maintaining iron metabolism, which may induce ferroptosis when upregulated. However, its prognostic value and relation to immune infiltrating cells remains unclear. METHODS: This study analyzed the expression levels of HAMP in the Oncomine, Timer and Ualcan databases, and examined its prognostic potential in KIRC with R programming. The Timer and GEPIA databases were used to estimate the correlations between HAMP and immune infiltration and the markers of immune cells. The intersection genes and the co-expression PPI network were constructed via STRING, R programming and GeneMANIA, and the hub genes were selected with Cytoscape. In addition, we analyzed the gene set enrichment and GO/KEGG pathways by GSEA. RESULTS: Our study revealed higher HAMP expression levels in tumor tissues including KIRC, which were related to poor prognosis in terms of OS, DSS and PFI. The expression of HAMP was positively related to the immune infiltration level of macrophages, Tregs, etc., corresponding with the immune biomarkers. Based on the intersection genes, we constructed the PPI network and used the 10 top hub genes. Further, we performed a pathway enrichment analysis of the gene sets, including Huntington's disease, the JAK-STAT signaling pathway, ammonium ion metabolic process, and so on. CONCLUSION: In summary, our study gave an insight into the potential prognosis of HAMP, which may act as a diagnostic biomarker and therapeutic target related to immune infiltration in KIRC.

Nurse-led coordinated surgical care pathways for cost optimization of robotic-assisted partial nephrectomy: medico-economic analysis of the UroCCR-25 AMBU-REIN study.

PURPOSE: Robot-assisted partial nephrectomy (RAPN) reduces morbidity, enabling development of Enhanced Recovery After Surgery (ERAS) and day-case protocols. Additional financial costs limit its integration into clinical practice. We evaluated the medico-economic impact of RAPN using a nurse-led coordinated pathway of care (NLC-RAPN). METHODS: All tumor RAPNs performed in 2017 were prospectively included in nurse-led protocols: NP-RAAC (ERAS) or Ambu-Rein (day case). Clinico-biological and pathological data were prospectively collected within the French Research Network for Kidney Cancer database (NCT03293563). Estimated costs were compared to "average" patients at the national level operated by open partial nephrectomy (OPN) or RAPN, using data from the 2017 French hospital discharge database and the national cost scale. RESULTS: The NLC-RAPN cohort (n = 151) included 27 (18%) outpatients and the average hospital length of stay (LOS) was 2.4 days. In the national control cohorts for OPN (n = 2475) and RAPN (n = 3529), the average LOS were 8.0 and 5.2 days, respectively. The mean incomes per group were €7607 for NLC-RAPN, €9813 for OPN, and €8215 for RAPN. The mean daily cost of stay was €659 for NLC-RAPN, €838 for OPN, and €725 for RAPN. The overall cost for NLC-RAPN was €6594, €8733 for OPN, and €8763 for RAPN. The best operational margin was obtained for day-case NLC-RAPN (€1967). CONCLUSION: Combining RAPN with nurse-led coordinated pathways of care led to a shorter hospital stay and reduced costs versus OPN. This may facilitate the economic sustainability of robotic assistance for hospitals where the extra cost is not covered by the healthcare system.

A comprehensive assessment of frailty status on surgical, functional and oncologic outcomes in patients treated with partial nephrectomy-A large, retrospective, single-center study.

BACKGROUND: Partial nephrectomy (PN) is a challenging procedure, which can be associated with severe complications. In consequence, the search for accurate and independent indicators of unfavorable surgical outcomes appears warranted. We aimed at evaluating the impact of frailty status on surgical, functional and oncologic outcomes in patients undergoing PN for renal cell carcinoma (RCC). METHODS: A retrospective, single-center study including 1,282 patients treated with PN for clinically localized cT1 RCC was performed. The modified Frailty Index (mFI) was used to assess preoperative frailty. Multivariable logistic, Poisson and linear regression analyses(MVA) tested the effect of frailty on complications, acute kidney injury(AKI), renal function decline after PN. Cumulative incidence and competing-risk analyses investigated survival outcomes. RESULTS: Of 1,282 patients, 220 (17%) were frail. Overall, 982 (76%) vs. 123 (9.6%) vs. 171 (13%) patients underwent open vs. laparoscopic vs. robot-assisted PN. Median follow-up was 66 (IQR: 35-107) months. At MVA, frailty status predicted increased risk of complications [Odds ratio (OR): 1.46, 95%CI 1.17-1.84; P < 0.001]. Moreover, frail patients were at higher risk of postoperative AKI (OR: 1.95, 95%CI 1.13-3.35; P = 0.01). In frail patients, renal function permanently decreased over time (P = 0.01) without any renal function plateau or improvement during the follow-up, which were instead observed in the nonfrail cohort. At competing-risks analyses, frailty status predicted higher risk of other-cause mortality [Hazard ratio (HR): 1.67, 95%CI 1.05-2.66; P = 0.02], but not of cancer-specific mortality (P = 0.3). CONCLUSIONS: Frailty status predicts higher risk of adverse surgical outcomes after PN. Moreover, greater renal function decline was observed in frail patients, compared with nonfrail patients. Finally, the risk of OCM significantly overcomes the risk of dying due to RCC in frail patients.

Bone metastasis risk and prognosis assessment models for kidney cancer based on machine learning.

Background: Bone metastasis is a common adverse event in kidney cancer, often resulting in poor survival. However, tools for predicting KCBM and assessing survival after KCBM have not performed well. Methods: The study uses machine learning to build models for assessing kidney cancer bone metastasis risk, prognosis, and performance evaluation. We selected 71,414 kidney cancer patients from SEER database between 2010 and 2016. Additionally, 963 patients with kidney cancer from an independent medical center were chosen to validate the performance. In the next step, eight different machine learning methods were applied to develop KCBM diagnosis and prognosis models while the risk factors were identified from univariate and multivariate logistic regression and the prognosis factors were analyzed through Kaplan-Meier survival curve and Cox proportional hazards regression. The performance of the models was compared with current models, including the logistic regression model and the AJCC TNM staging model, applying receiver operating characteristics, decision curve analysis, and the calculation of accuracy and sensitivity in both internal and independent external cohorts. Results: Our prognosis model achieved an AUC of 0.8269 (95%CI: 0.8083-0.8425) in the internal validation cohort and 0.9123 (95%CI: 0.8979-0.9261) in the external validation cohort. In addition, we tested the performance of the extreme gradient boosting model through decision curve analysis curve, Precision-Recall curve, and Brier score and two models exhibited excellent performance. Conclusion: Our developed models can accurately predict the risk and prognosis of KCBM and contribute to helping improve decision-making.