Type Of Renal Cell Carcinoma Research Articles

Multiple factors influence decision making for the surgical treatment in patients with renal cell carcinoma.

Surgical strategy in renal cell carcinoma (RCC) is considered based on the renal function. Partial nephrectomy (PN) preserves kidney function better than radical nephrectomy (RN), lowering risk of chronic kidney disease (CKD). The aim was to evaluate whether renal function and other clinical variables were important for surgical treatment selection. Patients with RCC, surgically treated between 1994 and 2018 were included. There were 663 patients in all stages, 265 women and 398 men, mean age 66 years. estimated glomerular filtration rate (eGFR), WHO performance status (WHO-PS), Charlson comorbidity index (CCI), surgery, T-stage, M-stage, RCC type, tumor size, age, and gender were extracted from the medical records. Statistical analysis included Mann-Whitney U, X2-test, and logistic regression analysis. Of 663 patients, 455 were treated with RN and 208 with PN. In all patients, preoperative eGFR was significantly higher in PN (80.8) than in RN (77.1, p = 0.015). Using logistic regression tumor size (odds ratio [OR]: 0.96; 95% confidence interval [CI]: 0.95-0.98, T-stage (OR: 0.46; 95% CI: 0.33-0.65), WHO-PS (OR: 0.39; 95% CI: 0.04-0.57), and CCI (OR: 1.23; 95% CI: 1.05-1.44), associated to treatment selection, while eGFR, M-stage, age, and gender did not. In cTa subgroup, eGFR was also higher in PN (84.6) than in RN (75.0, p = 0.007). Using logistic regression, tumor size (OR: 0.93; 95% CI: 0.83-0.98) and WHO-PS (OR: 0.36; 95% CI: 0.20-0.66) associated to treatment selection, while eGFR, CCI, age, and gender did not. Tumor size, CCI scores, T-stage, and WHO-PS, all had an impact on the surgical strategy for all RCC patients. In patients with T1a RCC, tumor size and WHO-PS associated independently with treatment decision. After adjusted analysis, renal function lost its independent association with the treatment strategy in RCC patients.

Correlations of SDF-1ɑ and XRCC1 gene polymorphisms with the risk of renal cancer development and bioinformatics studies of SDF-1α and XRCC1 and the prognosis of renal cancer

To study the relationships between stromal cell-derived factor-1 (SDF-1ɑ) and renal cell carcinoma (RCC) susceptibility and the presence of single nucleotide polymorphisms in the human X-ray cross-complementary repair gene (XRCC1). Compare SDF-1 based on RCC related data in the TCGA database α, The expression difference of XRCC1 between RCC tissue and normal tissue; Collect 166 newly diagnosed RCC cases and 166 healthy individuals who underwent physical examinations during the same period, and detect genotype using iMLDR method. The results The rs1801157 locus (C:T) of the SDF-1α gene was not significantly associated with the pathohistological type, the rs1799782 locus (G:A) of the XRCC1 gene was associated with the pathohistological type of RCC, and there were interactions between rs1799782 and smoking, alcohol consumption, pesticide exposure, hair dye, and urine holding. The rs1799782 locus of the XRCC1 gene may be a key factor in the pathogenesis and pathological development of RCC. High SDF-1ɑ expression is a protective factor for the overall survival of patients with RCC, and SDF-1ɑ and XRCC1 may be important for the treatment of RCC.

Upregulation of CCNB2 and a novel lncRNAs-related risk model predict prognosis in clear cell renal cell carcinoma

BackgroundClear cell renal cell carcinoma (ccRCC) is the main type of renal cell carcinoma. Cyclin B2 (CCNB2) is a subtype of B-type cyclin that is associated with the prognosis of several cancers. This study aimed to identify the relationship between CCNB2 and progression of ccRCC and construct a novel lncRNAs-related model to predict prognosis of ccRCC patients.MethodsThe data were obtained from public databases. We identified CCNB2 in ccRCC using Kaplan–Meier survival analysis, univariate and multivariate Cox regression, and Gene Ontology analysis. External validation was then performed. The risk model was constructed based on prognostic lncRNAs by the LASSO algorithm and multivariate Cox regression. Receiver operating characteristics (ROC) curves were used to evaluate the model. Consensus clustering analysis was performed to re-stratify the patients. Finally, we analyzed the tumor-immune microenvironment and performed screening of potential drugs.ResultsCCNB2 associated with late clinicopathological parameters and poor prognosis in ccRCC and was an independent predictor for disease-free survival. In addition, CCNB2 shared the same expression pattern with known suppressive immune checkpoints. A risk model dependent on the expression of three prognostic CCNB2-related lncRNAs (SNHG17, VPS9D1-AS1, and ZMIZ1-AS1) was constructed. The risk signature was an independent predictor of ccRCC. The area under the ROC (AUC) curve for overall survival at 1-, 3-, 5-, and 8-year was 0.704, 0.702, 0.741, and 0.763. The high-risk group and cluster 2 had stronger immunogenicity and were more sensitive to immunotherapy.ConclusionCCNB2 could be an important biomarker for predicting prognosis in ccRCC patients. Furthermore, we developed a novel lncRNAs-related risk model and identified two CCNB2-related molecular clusters. The risk model performed well in predicting overall survival and immunological microenvironment of ccRCC.

Utilizing a novel model of PANoptosis-related genes for enhanced prognosis and immune status prediction in kidney renal clear cell carcinoma.

Kidney renal clear cell carcinoma (KIRC) is the most common histopathologic type of renal cell carcinoma. PANoptosis, a cell death pathway that involves an interplay between pyroptosis, apoptosis and necroptosis, is associated with cancer immunity and development. However, the prognostic significance of PANoptosis in KIRC remains unclear. RNA-sequencing expression and mutational profiles from 532 KIRC samples and 72 normal samples with sufficient clinical data were retrieved from the Cancer Genome Atlas (TCGA) database. A prognostic model was constructed using differentially expressed genes (DEGs) related to PANoptosis in the TCGA cohort and was validated in a Gene Expression Omnibus (GEO) cohorts. Incorporating various clinical features, the risk model remained an independent prognostic factor in multivariate analysis, and it demonstrated superior performance compared to unsupervised clustering of the 21 PANoptosis-related genes alone. Further mutational analysis showed fewer VHL and more BAP1 alterations in the high-risk group, with alterations in both genes also associated with patient prognosis. The high-risk group was characterized by an unfavorable immune microenvironment, marked by reduced levels of CD4 + T cells and natural killer cells, but increased M2 macrophages and regulatory T cells. Finally, the risk model was predictive of response to immune checkpoint blockade, as well as sensitivity to sunitinib and paclitaxel. The PANoptosis-related risk model developed in this study enables accurate prognostic prediction in KIRC patients. Its associations with the tumor immune microenvironment and drug efficacy may offer potential therapeutic targets and inform clinical decisions.

Texture analysis of CT- and MR-Images in the differential diagnosis of renal cell carcinoma: a review

INTRODUCTION: Renal cell carcinoma (RCC) is a heterogeneous group of diseases. The most common type of RCC is clear cell RCC. Tumor biopsy is the «gold» standard for verifying the diagnosis, however, it can be unsatisfactory due to the characteristic heterogeneity of the RCC structure. Non-invasive diagnostic methods — computed tomography and magnetic resonance imaging — in combination with the use of texture analysis can potentially provide a large amount of information about the structure of the kidney tumor and the presumed degree of its differentiation (grade).OBJECTIVE: Тo analyze publications devoted to texture analysis in RCC, the possibilities and prospects of using this method to increase the information content of CT and MR studies.MATERIALS AND METHODS: Our review presents data obtained from available sources PubMed, Scopus and Web of Science, published up to March 2022 inclusive, found using the keywords: renal cell carcinoma, CT, MRI, texture analysis, radiomics in Russian and English.RESULTS: The literature review describes the methods of texture analysis: selection of the region of interest, modality and contrast phase of the study, diagnostic aim. Based on the results of published scientific papers, the authors conclude that the use of texture analysis makes it possible to predict the grade of RCC with high sensitivity, specificity and accuracy, as well as to make a differential diagnosis of RCC with other kidney neoplasias, primarily lipid poor angiomyolipomas.CONCLUSION: The use of texture analysis based on published materials is extremely promising for non-invasive prediction of RCC grade and its differential diagnosis, however, the difference in methods and the lack of standardization of texture analysis requires additional research.

Ferroptosis-associated genes and compounds in renal cell carcinoma.

As the main type of renal cell carcinoma (RCC), clear cell RCC (ccRCC) is often associated with the deletion or mutation of the von Hippel Lindau (VHL) gene, enhancement of glucose and lipid metabolism, and heterogeneity of the tumor microenvironment. VHL alterations in RCC cells lead to the activation of hypoxia-inducible factors and their downstream target vascular endothelial growth factor, and to the reprogramming of multiple cell death pathways and metabolic weakness, including ferroptosis, which are associated with targeted therapy or immunotherapy. The changes in biological metabolites (e.g., iron and lipids) support ferroptosis as a potential therapeutic strategy for RCC, while iron metabolism and ferroptosis regulation have been examined as anti-RCC agents in numerous studies, and various ferroptosis-related molecules have been shown to be related to the metastasis and prognosis of ccRCC. For example, glutathione peroxidase 4 and glutaminase inhibitors can inhibit pyrimidine synthesis and increase reactive oxygen species levels in VHL-deficient RCC cells. In addition, the release of damage-associated molecular patterns by tumor cells undergoing ferroptosis also mediates antitumor immunity, and immune therapy can synergize with targeted therapy or radiotherapy through ferroptosis. However, Inducing ferroptosis not only suppresses cancer, but also promotes cancer development due to its potential negative effects on anti-cancer immunity. Therefore, ferroptosis and various tumor microenviroment-related molecules may co-occur during the development and treatment of RCC, and further understanding of the interactions, core targets, and related drugs of ferroptosis may provide new combination drug strategies for RCC treatment. Here we summarize the key genes and compounds on ferroptosis and RCC in order to envision future treatment strategies and to provide sufficient information for overcoming RCC resistance through ferroptosis.

Therapeutic Efficacy of YM155 to Regulate an Epigenetic Enzyme in Major Subtypes of RCC.

Renal cell carcinoma (RCC) is the most common type of kidney cancer and includes more than 10 subtypes. Compared to the intensively investigated clear cell RCC (ccRCC), the underlying mechanisms and treatment options of other subtypes, including papillary RCC (pRCC) and chromogenic RCC (chRCC), are limited. In this study, we analyzed the public databases for ccRCC, pRCC, and chRCC and found that BIRC5 was commonly overexpressed in a large cohort of pRCC and chRCC patients as well as ccRCC and was closely related to the progression of RCCs. We investigated the potential of BIRC5 as a therapeutic target for these three types of RCCs. Loss and gain of function studies showed the critical role of BIRC5 in cancer growth. YM155, a BIRC5 inhibitor, induced a potent tumor-suppressive effect in the three types of RCC cells and xenograft models. To determine the mechanism underlying the anti-tumor effects of YM155, we examined epigenetic modifications in the BIRC5 promoter and found that histone H3 lysine 27 acetylation (H3K27Ac) was highly enriched on the promoter region of BIRC5. Chromatin-immunoprecipitation analysis revealed that H3K27Ac enrichment was significantly decreased by YM155. Immunohistochemistry of xenografted tissue showed that overexpression of BIRC5 plays an important role in malignancy in RCC. Furthermore, high expression of P300 was significantly associated with the progression of RCC. Our findings demonstrate the P300-H3K27Ac-BIRC5 cascade in three types of RCC and provide a therapeutic path for future research on RCC.

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: 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. 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. 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. This study provides an overview of a unique series of clinical and treatment characteristics of pediatric patients with RCC treated with targeted therapies.

Molecular and Immune Landscape of Fumarate Hydratase-mutated Renal Cell Carcinoma

Fumarate hydratase-deficient renal cell carcinomas are an aggressive form of kidney cancer that often results in poor prognosis and high fatality rates. The implications of somatic mutations are not well described, and standard treatment has not been established for this renal cell carcinoma subtype. Further molecular characterization of fumarate hydratase-deficient renal cell carcinomas could potentially help to identify biomarkers that can be exploited with future targeted therapies. 2199 renal cell carcinomas were analyzed by DNA sequencing (592-gene panel) and whole- transcriptome sequencing and 40 tumors were identified with pathogenic FH mutations. Co-occurrence of mutation with other cancer-related genes were assessed along with immune profiles and immunotherapy biomarkers. Fumarate hydratase-deficient renal cell carcinomas had a lower prevalence of co-mutation with common renal cell carcinoma driver mutations such as VHL and chromatin remodeling genes when compared to wild type renal cell carcinoma. Conversely, prevalence of several cancer-related genes (MAX, BRCA1, PMS2, BRAF, NF2, and AKT1) was higher in fumarate hydratase-deficient renal cell carcinomas. Immunotherapy biomarkers (mismatch repair deficiency and tumor mutational burden) were detected at low frequency in mutant and wild type renal cell carcinomas, while PDL1 expression occurred at higher frequency in fumarate hydratase-deficient renal cell carcinomas. Fumarate hydratase-mutated kidney tumors may have a different mutational and immune landscape than wild type tumors. The absence of VHL mutations in a significant number of fumarate hydratase deficient renal cell carcinomas suggest that FH mutations may drive tumorigenesis using distinct angiogenic pathways. Our study highlights potential therapeutic implications that will require further study.

Liver Infiltration From a Huge Renal Cell Carcinoma: A Diagnostic and Management Enigma

Renal Cell Carcinoma (RCC) is the most lethal malignancy of urinary tract. Invasion of right lobe of liver by RCC is rare and possess a treatment challenge. Simultaneous nephrectomy with right hepatectomy has been proposed as a part of multi-modality treatment approach. We herein discuss a patient who underwent simultaneous nephrectomy with right hepatectomy along with single peritoneal metastasectomy for a huge RCC of right kidney and infiltrating the right lobe of liver. A 30- year old female was diagnosed with a right renal tumor invading into the right hepatic lobe. Post multi-disciplinary tumor board meeting she was planned for surgical intervention. Intra-operatively a single peritoneal nodule was present which came positive for malignancy on frozen section. Considering young age, good performance status and oligometastatic disease definitive procedure in the form of combined right nephrectomy and right hepatectomy was performed. She was discharged from the hospital on 6th post-operative day with an uneventful post-operative course. This type of RCC has been rarely reported and the combined nephrectomy and right hepatectomy is safe and feasible for this type of huge RCC invading right hepatic lobe.

102. Using cytogenomics to distinguish two types of renal cell carcinoma in a composite or collision tumor

102. Using cytogenomics to distinguish two types of renal cell carcinoma in a composite or collision tumor

Empowering Renal Cancer Management with AI and Digital Pathology: Pathology, Diagnostics and Prognosis.

Renal cell carcinoma is a significant health burden worldwide, necessitating accurate and efficient diagnostic methods to guide treatment decisions. Traditional pathology practices have limitations, including interobserver variability and time-consuming evaluations. In recent years, digital pathology tools emerged as a promising solution to enhance the diagnosis and management of renal cancer. This review aims to provide a comprehensive overview of the current state and potential of digital pathology in the context of renal cell carcinoma. Through advanced image analysis algorithms, artificial intelligence (AI) technologies facilitate quantification of cellular and molecular markers, leading to improved accuracy and reproducibility in renal cancer diagnosis. Digital pathology platforms empower remote collaboration between pathologists and help with the creation of comprehensive databases for further research and machine learning applications. The integration of digital pathology tools with other diagnostic modalities, such as radiology and genomics, enables a novel multimodal characterization of different types of renal cell carcinoma. With continuous advancements and refinement, AI technologies are expected to play an integral role in diagnostics and clinical decision-making, improving patient outcomes. In this article, we explored the digital pathology instruments available for clear cell, papillary and chromophobe renal cancers from pathologist and data analyst perspectives.

Comprehensive Analyses Revealed Eight Immune Related Signatures Correlated With Aberrant Methylations as Prognosis and Diagnosis Biomarkers for Kidney Renal Papillary Cell Carcinoma.

Kidney renal papillary cell carcinoma (KIRP) is a common type of renal cell carcinoma. DNA methylation plays an important role in the development of several cancers. The aim of our study was to identify differentially expressed genes associated with abnormal DNA methylation as biomarkers for predicting the outcome of KIRP. We downloaded KIRP methylation data, RNA sequencing (RNAseq) data, and their corresponding clinical information from the Cancer Genome Atlas (TCGA) database. ChAMP and DEGseq2 packages in R software were used to screen differentially methylated probes (DMPs) and differentially expressed genes (DEGs). Univariate and multivariate Cox regression analyses were used to identify suitable immune related genes correlated with aberrant methylations as prognosis biomarkers. We identified 8 DEGs (Cysteine And Glycine Rich Protein 1 [CSRP1], major histocompatibility complex, Class II, DM Beta [HLA-DMB], LIF Receptor Subunit Alpha [LIFR], Leukotriene B4 receptor 2 [LTB4R2], Mitogen-Activated Protein Kinase Kinase Kinase 14 [MAP3K14], Nuclear Receptor Subfamily 2 Group F Member 1 [NR2F1], Secreted And Transmembrane 1 [SECTM1], and Vimentin [VIM]) that were independently associated with the overall survival (months) (OS) of KIRP. The time dependent area under the curve (AUC) for each receiver operating characteristic (ROC) of the risk assessment model at 1, 3, 5, and 10-years reached 0.8415, 0.8131, 0.7873, and 0.7667. The risk assessment model was correlated with several immune cells and factors. The AUC value of the diagnosis model using those 8 DEGs reached 0.99. The risk assessment model constructed by those 8 DEGs was well able to predict the prognosis and diagnose of KIRP. However, whether the prognosis and diagnosis model could be applied in clinical practice requires further study.

ENO2 as a Biomarker Regulating Energy Metabolism to Promote Tumor Progression in Clear Cell Renal Cell Carcinoma.

Clear cell renal cell carcinoma (ccRCC) is the most common and metastatic type of renal cell carcinoma. Despite significant advancements, the current diagnostic biomarkers for ccRCC lack the desired specificity and sensitivity, necessitating the identification of novel biomarkers and elucidation of their underlying mechanisms. Three gene expression profile datasets were obtained from the GEO database, and differentially expressed genes (DEGs) were screened. Gene Ontology and KEGG pathway analysis were conducted in ccRCC. To clarify the diagnosis and prognostic role of ENO2, Kaplan-Meier analysis and Cox proportional hazards regression analysis were performed. Functional experiments were also carried out to verify the significant role of ENO2 in ccRCC. Finally, tumor mutational burden analysis was utilized to investigate the potential role of ENO2 in gene mutations in ccRCC. The study showed that ENO2 is a potential biomarker for the diagnosis of ccRCC and can independently predict the clinical prognosis of ccRCC. Furthermore, we found that ENO2 can promote the occurrence and progression of ccRCC by affecting the glycolysis level of cells through the "Warburg effect". These findings provide new theories for the occurrence and development of ccRCC and can help formulate new strategies for its diagnosis and treatment.

Congenital Retinal Macrovessel and Cavernous Hemangioma in Cowden Syndrome - A Case Report and Review of Literature.

To describe a case of unilateral congenital retinal macrovessel with a retinal cavernous hemangioma in a patient with Cowden syndrome (CS). In addition, we summarize previously reported cases of ocular findings in CS in the literature. Observational case report and literature review. A 45-year-old white female with Cowden syndrome presented for routine ocular examination. She had a history of thyroid carcinoma, fallopian para-tubal cyst, chromophobe type renal cell carcinoma, multiple benign skin lesions, and macrocephaly. At presentation, she was asymptomatic with good vision. On dilated fundus examination, the right eye revealed a congenital retinal macrovessel and retinal cavernous hemangioma. Previously performed genetic testing revealed a pathogenic c.46dupT mutation in the PTEN gene which was consistent with CS. Our patient had a history of multiple malignancies and hamartomas consistent with her genetic diagnosis of CS. We incidentally discovered a congenital retinal macrovessel with a retinal cavernous hemangioma. Patients with CS should be referred for interdisciplinary evaluation including routine ocular examinations.

A comprehensive analysis of MYO6 as a promising biomarker for diagnosis, prognosis, and immunity in clear cell renal cell carcinoma.

Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cell carcinoma. The myosin 6 (MYO6) plays an important role in tumorigenesis and progression. However, its prognostic and immunological effects in ccRCC have not been comprehensively and systematically studied. Therefore, this study aimed to investigate the prognostic value and immune-related role of MYO6 in ccRCC. The expression of MYO6 mRNA and protein in normal and tumor tissues using The Cancer Genome Atlas (TCGA) and other public databases were analyzed. In order to further improve the accuracy of the results, immunohistochemistry (IHC) was performed to verify the results. R software, an integrated repository portal for tumor-immune system interactions (TISIDB) and other online analysis tools were used to investigate the relationship between MYO6 expression and clinicopathological features, diagnostic and prognostic value, and the level of immune infiltration in patients with ccRCC. MYO6 genomic alterations were then investigated using the cBio Cancer Genomics Portal (cBioPortal) database. Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and Gene Set Enrichment Analysis (GSEA) enrichment analysis were used to elucidate the biological processes and signaling pathways. Finally, a protein interaction network was constructed using Biological Universal Repository for Interactive Datasets (BioGRID) and some online analysis tools to investigate the correlation between MYO6 and its co-expressed genes in ccRCC patients. In the present study, MYO6 expression was significantly reduced in ccRCC tumors compared with normal tissues.This was consistent with the results of immunohistochemistry. Lower MYO6 expression levels were significantly associated with higher cancer grade and later TNM stage in ccRCC. Compared with the MYO6 high expression group, ccRCC patients with low MYO6 expression had a poor prognosis of overall survival (OS). MYO6 expression has diagnostic and prognostic potential in ccRCC. MYO6 expression is associated with different tumor-infiltrating immune cells, especially macrophages. The findings suggest that reduced MYO6 expression levels are associated with disease progression, poor prognosis, and immune cell infiltration, and can be considered as a promising prognostic biomarker for ccRCC.

A Case Report of Aggressive Fumarate Hydrase-deficient Renal Cell Carcinoma With Loss of HLA Antigens.

Fumarate hydratase (FH)-deficient renal cell carcinoma (RCC) is a rare RCC subtype, and FH-deficient RCC may be misdiagnosed as another type of RCC, such as type 2 papillary RCC or collecting duct carcinoma. FH and 2-succinocysteine (2SC) are useful diagnostic markers for FH-deficient RCC and can be measured using immunohistochemistry (IHC). A 30-year-old female with 3-month history of fatigue and left-flank mass was diagnosed with a 20×13×10 cm left-side renal mass with massive inferior vena cava (IVC) tumor thrombus that extended into the right atrium. She underwent nephrectomy and IVC thrombectomy, and a pathological diagnosis of type 2 papillary RCC was made. Four months after the surgery, computed tomography scan showed multiple liver metastases not observed immediately after surgery. Systemic treatment with sorafenib was initiated; however, she did not respond and died 3 months after treatment. Subsequent re-review of hematoxylin and eosin-stained sections indicated morphologic characteristics consistent with FH-deficient RCC, and IHC staining was negative for FH but positive for 2SC, indicating a diagnosis of FH-deficient RCC. Further immunological analyses revealed the loss of HLA-class I, b2 microglobulin, and HLA-DR antigens in cancer cells. In addition, a few CD8-positive cytotoxic T cells and CD163-positive tumor-associated macrophages were noted. An immunosuppressive tumor microenvironment that facilitates cancer immune evasion might be associated with the rapid progression and poor prognosis in our patient. Further investigation of the tumor immune microenvironment in patients with FH-deficient RCC is warranted.

Clinical Characteristics of Molecularly Defined Renal Cell Carcinomas.

Kidney tumors comprise a broad spectrum of different histopathological entities, with more than 0.4 million newly diagnosed cases each year, mostly in middle-aged and older men. Based on the description of the 2022 World Health Organization (WHO) classification of renal cell carcinoma (RCC), some new categories of tumor types have been added according to their specific molecular typing. However, studies on these types of RCC are still superficial, many types of these RCC currently lack accurate diagnostic standards in the clinic, and treatment protocols are largely consistent with the treatment guidelines for clear cell RCC (ccRCC), which might result in worse treatment outcomes for patients with these types of molecularly defined RCC. In this article, we conduct a narrative review of the literature published in the last 15 years on molecularly defined RCC. The purpose of this review is to summarize the clinical features and the current status of research on the detection and treatment of molecularly defined RCC.

ApoM suppresses kidney renal clear cell carcinoma growth and metastasis via the Hippo-YAP signaling pathway

Renal cell carcinoma is one of the most common malignancies worldwide, and kidney renal clear cell carcinoma (KIRC) is the most common histopathological type of renal cell carcinoma. However, the mechanism of KIRC progression remains poorly understood. Apolipoprotein M (ApoM) is a plasma apolipoprotein and a member of the lipid transport protein superfamily. Lipid metabolism is essential for tumor progression, and its related proteins can be used as therapeutic targets for tumors. ApoM influences the development of several cancers, but its relationship with KIRC remains unclear. In this study, we aimed to investigate the biological function of ApoM in KIRC and to reveal its potential molecular mechanisms. We found that ApoM expression was significantly reduced in KIRC and was strongly correlated with patient prognosis. ApoM overexpression significantly inhibited KIRC cell proliferation in vitro, suppressed the epithelial mesenchymal transition (EMT) of KIRC cells, and decreased their metastatic capacity. Additionally, the growth of KIRC cells was inhibited by ApoM overexpression in vivo. In addition, we found that overexpression of ApoM in KIRC attenuated Hippo-YAP protein expression and YAP stability and thus inhibited KIRC growth and progression. Therefore, ApoM may be a potential target for the treatment of KIRC.

Heart Metastases of Clear Cell Renal Cell Carcinoma.

Renal cell carcinoma (RCC) is a common genitourinary cancer. Of the several histologic types of RCC, clear cell renal cell carcinoma (ccRCC) is the most frequent. Due to the development of imaging methods such as computed tomography (CT) or magnetic resonance imaging (MRI), the incidence of ccRCC diagnosis has increased rapidly. However, up to one third of patients at prime diagnosis of ccRCC are at metastatic stadium of the disease. Metastases of ccRCC are found mostly in the lungs, bones and liver. Metastasis of ccRCC to the heart is an uncommon clinical situation. We present a rare case of metastatic stadium of ccRCC with metastases to heart tissue visualized in transthoracic echocardiography.