BACKGROUND: About 20% of patients with renal cell carcinoma present with non-clear cell histology (nccRCC), encompassing various histological types. While surgery remains pivotal for localized-stage nccRCC, the role of cytoreductive nephrectomy (CN) in metastatic nccRCC is contentious. Limited data exist on the role of CN in metastatic nccRCC under current standard of care. OBJECTIVE: This retrospective study focused on the impact of upfront CN on metastatic nccRCC outcomes with first-line immune checkpoint inhibitor (IO) combinations or tyrosine kinase inhibitor (TKI) monotherapy. METHODS: The study included 221 patients with nccRCC and synchronous metastatic disease, treated with IO combinations or TKI monotherapy in the first line. Baseline clinical characteristics, systemic therapy, and treatment outcomes were analyzed. The primary objective was to assess clinical outcomes, including progression-free survival (PFS) and overall survival (OS). Statistical analysis involved the Fisher exact test, Pearson's correlation coefficient, analysis of variance, Kaplan-Meier method, log-rank test, and univariate/multivariate Cox proportional hazard regression models. RESULTS: Median OS for patients undergoing upfront CN was 36.8 (95% confidence interval [CI] 24.9-71.3) versus 20.8 (95% CI 12.6-24.8) months for those without CN (p = 0.005). Upfront CN was significantly associated with OS in the multivariate Cox regression analysis (hazard ratio 0.47 [95% CI 0.31-0.72], p < 0.001). In patients without CN, the median OS and PFS was 24.5 (95% CI 18.1-40.5) and 13.0 months (95% CI 6.6-23.5) for patients treated with IO+TKI versus 7.5 (95% CI 4.3-22.4) and 4.9 months (95% CI 3.0-8.1) for those receiving the IO+IO combination (p = 0.059 and p = 0.032, respectively). CONCLUSIONS: Our study demonstrates the survival benefits of upfront CN compared with systemic therapy without CN. The study suggests that the use of IO+TKI combination or, eventually, TKI monotherapy might be a better choice than IO+IO combination for patients who are not candidates for CN regardless of IO eligibility. Prospective trials are needed to validate these findings and refine the role of CN in current mRCC management.

• MeSH
• cytoredukční chirurgie * metody   MeSH
• dospělí MeSH
• imunoterapie * metody   MeSH
• inhibitory proteinkinas * terapeutické užití   farmakologie   MeSH
• inhibitory tyrosinkinasy MeSH
• karcinom z renálních buněk * farmakoterapie   MeSH
• lidé středního věku MeSH
• lidé MeSH
• metastázy nádorů MeSH
• nádory ledvin * farmakoterapie   patologie   MeSH
• nefrektomie * metody   MeSH
• retrospektivní studie MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• inhibitory proteinkinas * MeSH
• inhibitory tyrosinkinasy MeSH

Here, in a multi-ancestry genome-wide association study meta-analysis of kidney cancer (29,020 cases and 835,670 controls), we identified 63 susceptibility regions (50 novel) containing 108 independent risk loci. In analyses stratified by subtype, 52 regions (78 loci) were associated with clear cell renal cell carcinoma (RCC) and 6 regions (7 loci) with papillary RCC. Notably, we report a variant common in African ancestry individuals ( rs7629500 ) in the 3' untranslated region of VHL, nearly tripling clear cell RCC risk (odds ratio 2.72, 95% confidence interval 2.23-3.30). In cis-expression quantitative trait locus analyses, 48 variants from 34 regions point toward 83 candidate genes. Enrichment of hypoxia-inducible factor-binding sites underscores the importance of hypoxia-related mechanisms in kidney cancer. Our results advance understanding of the genetic architecture of kidney cancer, provide clues for functional investigation and enable generation of a validated polygenic risk score with an estimated area under the curve of 0.65 (0.74 including risk factors) among European ancestry individuals.

• MeSH
• běloši genetika   MeSH
• celogenomová asociační studie * MeSH
• černoši MeSH
• genetická predispozice k nemoci * MeSH
• jednonukleotidový polymorfismus * MeSH
• karcinom z renálních buněk * genetika   MeSH
• lidé MeSH
• lokus kvantitativního znaku * MeSH
• nádorový supresorový protein VHL genetika   MeSH
• nádory ledvin * genetika   MeSH
• studie případů a kontrol MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• metaanalýza MeSH
• Názvy látek
• nádorový supresorový protein VHL MeSH

Large-scale biorepositories and databases are essential to generate equitable, effective, and sustainable advances in cancer prevention, early detection, cancer therapy, cancer care, and surveillance. The Mutographs project has created a large genomic dataset and biorepository of over 7,800 cancer cases from 30 countries across five continents with extensive demographic, lifestyle, environmental, and clinical information. Whole-genome sequencing is being finalized for over 4,000 cases, with the primary goal of understanding the causes of cancer at eight anatomic sites. Genomic, exposure, and clinical data will be publicly available through the International Cancer Genome Consortium Accelerating Research in Genomic Oncology platform. The Mutographs sample and metadata biorepository constitutes a legacy resource for new projects and collaborations aiming to increase our current research efforts in cancer genomic epidemiology globally.

• MeSH
• banky biologického materiálu MeSH
• databáze faktografické MeSH
• genomika MeSH
• lidé MeSH
• nádory * diagnóza   MeSH
• poskytování zdravotní péče MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

Long non-coding RNAs (lncRNAs) serve an important role in cancer progression and may be used as efficient molecular biomarkers. The present study aimed to identify lncRNAs associated with the response to the receptor tyrosine kinase inhibitor sunitinib and transcriptome profile and clinical features of metastatic renal cell carcinoma (mRCC). The gene expression of 84 cancer-associated lncRNAs in tumor and non-malignant tissue samples of 38 patients with mRCC was evaluated using quantitative PCR. In addition, the coding transcriptome was estimated using RNA sequencing in a subgroup of 20 patients and mRNA-lncRNA intersections were identified. In total, 37 and 13 lncRNAs were down- and upregulated, respectively, in tumor compared with non-malignant adjacent tissue samples. A total of 10 and 4 lncRNAs were up- and downregulated, respectively, in good responders to sunitinib compared with poor responders. High expression of HNF1A-AS1 and IPW lncRNAs was associated with prolonged progression-free survival of patients and a high expression of the TUSC7 lncRNA was associated with poor response and worse survival. Significant associations of dysregulated MEG3 and SNHG16 lncRNAs with expression of protein-coding genes representing various pathways, were identified. Furthermore, a significantly higher expression of CLIP4 gene was observed in good responders. The present study revealed promising candidates for predictive and prognostic biomarkers with further therapeutic potential.

• Klíčová slova
• inhibitor, long non-coding RNA, metastatic, prognosis, renal cancer, response, sunitinib, therapy, transcriptome, tyrosine kinase,
• Publikační typ
• časopisecké články MeSH

PURPOSE: Patients with resected localized clear-cell renal cell carcinoma (ccRCC) remain at variable risk of recurrence. Incorporation of biomarkers may refine risk prediction and inform adjuvant treatment decisions. We explored the role of tumor genomics in this setting, leveraging the largest cohort to date of localized ccRCC tissues subjected to targeted gene sequencing. EXPERIMENTAL DESIGN: The somatic mutation status of 12 genes was determined in 943 ccRCC cases from a multinational cohort of patients, and associations to outcomes were examined in a Discovery (n = 469) and Validation (n = 474) framework. RESULTS: Tumors containing a von-Hippel Lindau (VHL) mutation alone were associated with significantly improved outcomes in comparison with tumors containing a VHL plus additional mutations. Within the Discovery cohort, those with VHL+0, VHL+1, VHL+2, and VHL+≥3 tumors had disease-free survival (DFS) rates of 90.8%, 80.1%, 68.2%, and 50.7% respectively, at 5 years. This trend was replicated in the Validation cohort. Notably, these genomically defined groups were independent of tumor mutational burden. Amongst patients eligible for adjuvant therapy, those with a VHL+0 tumor (29%) had a 5-year DFS rate of 79.3% and could, therefore, potentially be spared further treatment. Conversely, patients with VHL+2 and VHL+≥3 tumors (32%) had equivalent DFS rates of 45.6% and 35.3%, respectively, and should be prioritized for adjuvant therapy. CONCLUSIONS: Genomic characterization of ccRCC identified biologically distinct groups of patients with divergent relapse rates. These groups account for the ∼80% of cases with VHL mutations and could be used to personalize adjuvant treatment discussions with patients as well as inform future adjuvant trial design.

• MeSH
• karcinom z renálních buněk * genetika   terapie   metabolismus   MeSH
• lidé MeSH
• lokální recidiva nádoru genetika   MeSH
• mutace MeSH
• nádorový supresorový protein VHL genetika   MeSH
• nádory ledvin * genetika   terapie   metabolismus   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• nádorový supresorový protein VHL MeSH

PURPOSE: RCC, the most common type of kidney cancer, is associated with high mortality. A non-invasive diagnostic test remains unavailable due to the lack of RCC-specific biomarkers in body fluids. We have previously described a significantly altered profile of sulfatides in RCC tumor tissues, motivating us to investigate whether these alterations are reflected in collectible body fluids and whether they can enable RCC detection. METHODS: We collected and further analyzed 143 plasma, 100 urine, and 154 tissue samples from 155 kidney cancer patients, together with 207 plasma and 70 urine samples from 214 healthy controls. RESULTS: For the first time, we show elevated concentrations of lactosylsulfatides and decreased levels of sulfatides with hydroxylated fatty acyls in body fluids of RCC patients compared to controls. These alterations are emphasized in patients with the advanced tumor stage. Classification models are able to distinguish between controls and patients with RCC. In the case of all plasma samples, the AUC for the testing set was 0.903 (0.844-0.954), while for urine samples it was 0.867 (0.763-0.953). The models are able to efficiently detect patients with early- and late-stage RCC based on plasma samples as well. The test set sensitivities were 80.6% and 90%, and AUC values were 0.899 (0.832-0.952) and 0.981 (0.956-0.998), respectively. CONCLUSION: Similar trends in body fluids and tissues indicate that RCC influences lipid metabolism, and highlight the potential of the studied lipids for minimally-invasive cancer detection, including patients with early tumor stages, as demonstrated by the predictive ability of the applied classification models.

• Klíčová slova
• cancer biomarkers, classification models, early detection, lipidomics, renal cell carcinoma, sphingomyelins, sulfatide,
• Publikační typ
• časopisecké články MeSH

Early detection of cancer is one of the unmet needs in clinical medicine. Peripheral blood analysis is a preferred method for efficient population screening, because blood collection is well embedded in clinical practice and minimally invasive for patients. Lipids are important biomolecules, and variations in lipid concentrations can reflect pathological disorders. Lipidomic profiling of human plasma by the coupling of ultrahigh-performance supercritical fluid chromatography and mass spectrometry is investigated with the aim to distinguish patients with breast, kidney, and prostate cancers from healthy controls. The mean sensitivity, specificity, and accuracy of the lipid profiling approach were 85%, 95%, and 92% for kidney cancer; 91%, 97%, and 94% for breast cancer; and 87%, 95%, and 92% for prostate cancer. No association of statistical models with tumor stage is observed. The statistically most significant lipid species for the differentiation of cancer types studied are CE 16:0, Cer 42:1, LPC 18:2, PC 36:2, PC 36:3, SM 32:1, and SM 41:1 These seven lipids represent a potential biomarker panel for kidney, breast, and prostate cancer screening, but a further verification step in a prospective study has to be performed to verify clinical utility.

• MeSH
• časná detekce nádoru MeSH
• dospělí MeSH
• heparin chemie   MeSH
• hmotnostní spektrometrie MeSH
• ledviny metabolismus   MeSH
• lidé středního věku MeSH
• lidé MeSH
• lipidomika * MeSH
• lipidy chemie   MeSH
• mladý dospělý MeSH
• nádorové biomarkery metabolismus   MeSH
• nádory prostaty metabolismus   MeSH
• nádory prsu metabolismus   MeSH
• plocha pod křivkou MeSH
• prospektivní studie MeSH
• prostata metabolismus   MeSH
• prsy metabolismus   MeSH
• regulace genové exprese u nádorů MeSH
• reprodukovatelnost výsledků MeSH
• retrospektivní studie MeSH
• ROC křivka MeSH
• senioři MeSH
• statistické modely MeSH
• studie případů a kontrol MeSH
• superkritická fluidní chromatografie MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• heparin MeSH
• lipidy MeSH
• nádorové biomarkery MeSH

BACKGROUND: The anticancer properties of metformin have been suggested in numerous experimental studies and several retrospective clinical studies show that its use is associated with improved outcome of patients with cancer. However, limited data are available for patients with metastatic renal cell carcinoma (mRCC) treated with targeted therapy. The aim of this retrospective study was to assess the impact of the metformin use on survival of mRCC patients treated with sunitinib or pazopanib. METHODS: Clinical data from 343 patients with mRCC treated with sunitinib or pazopanib in the first line were analyzed. Progression-free survival (PFS) and overall survival (OS) were compared according to the use of metformin. RESULTS: The median PFS and OS for patients using metformin was 31.1 (95% CI 20.6-35.1) and 51.6 (95% CI 44.7-NR) months compared to 9.3 (95% CI 8.0-12.0) and 22.4 (95% CI 19.4-26.8) months for patients not using metformin (p<0.0001 and p=0.0002, respectively). Cox multivariate analysis shows that the use of metformin remains a significant factor for PFS (HR=0.55 [95% CI 0.343-0.883], p=0.013) and also for OS (HR=0.45 [95% CI 0.256-0.794], p=0.006). CONCLUSION: The present study results suggest that the use of metformin was associated with favorable outcome of mRCC patients treated with sunitinib or pazopanib.

• Klíčová slova
• metformin, outcome, pazopanib, renal cell carcinoma, sunitinib, tyrosine kinase inhibitors,
• Publikační typ
• časopisecké články MeSH

Liquid biopsy-the determination of circulating cells, proteins, DNA or RNA from biofluids through a "less invasive" approach-has emerged as a novel approach in all cancer entities. Circulating non-(protein) coding RNAs including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and YRNAs can be passively released by tissue or cell damage or actively secreted as cell-free circulating RNAs, bound to lipoproteins or carried by exosomes. In renal cell carcinoma (RCC), a growing body of evidence suggests circulating non-coding RNAs (ncRNAs) such as miRNAs, lncRNAs, and YRNAs as promising and easily accessible blood-based biomarkers for the early diagnosis of RCC as well as for the prediction of prognosis and treatment response. In addition, circulating ncRNAs could also play a role in RCC pathogenesis and progression. This review gives an overview over the current study landscape of circulating ncRNAs and their involvement in RCC pathogenesis as well as their potential utility as future biomarkers in RCC diagnosis and treatment.

• Klíčová slova
• biomarker, diagnosis, liquid biopsy, long non-coding RNA, microRNA, prognosis, renal cell carcinoma,
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

Available systemic treatment options for cancers of the genitourinary system have experienced great progress in the last decade. However, a large proportion of patients eventually develop resistance to treatment, resulting in disease progression and shorter overall survival. Biomarkers indicating the increasing resistance to cancer therapies are yet to enter clinical routine. Long non-coding RNAs (lncRNA) are non-protein coding RNA transcripts longer than 200 nucleotides that exert multiple types of regulatory functions of all known cellular processes. Increasing evidence supports the role of lncRNAs in cancer development and progression. Additionally, their involvement in the development of drug resistance across various cancer entities, including genitourinary malignancies, are starting to be discovered. Consequently, lncRNAs have been suggested as factors in novel therapeutic strategies to overcome drug resistance in cancer. In this review, the existing evidences on lncRNAs and their involvement in mechanisms of drug resistance in cancers of the genitourinary system, including renal cell carcinoma, bladder cancer, prostate cancer, and testicular cancer, will be highlighted and discussed to facilitate and encourage further research in this field. We summarize a significant number of lncRNAs with proposed pathways in drug resistance and available reported studies.

• Klíčová slova
• bladder cancer, chemoresistance, drug resistance, lncRNA, prostate cancer, renal cell carcinoma, seminoma,
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH