Renal Cell Carcinoma Tissues Research Articles

Integrative analysis of deoxyribonuclease 1-like 3 as a potential biomarker in renal cell carcinoma.

Clear cell renal cell carcinoma (ccRCC), the most common subtype of renal cell carcinoma (RCC), is insensitive to radiotherapy and chemotherapy after surgery. Deoxyribonuclease 1-like 3 (DNASE1L3), an endonuclease that cleaves both membrane-encapsulated single- and double-stranded DNA, suppresses cell cycle progression, proliferation and metabolism in hepatocellular carcinoma cells. There is currently no established link between DNASE1L3 and RCC inhibition. We are gonging to explored the mechanism underlying the relationship between DNASEL1L3 and RCC. RNA sequencing data for RCC tissue and peritumoral tissue were downloaded from The Cancer Genome Atlas database and analyzed. The expression levels of DNASE1L3 in RCC and normal samples were verified using the Gene Expression Omnibus (GEO) database, Human Protein Atlas database and western blotting. The role and potential mechanism of DNASE1L3 were investigated by analysis of immune-related databases and wound healing, invasion, cell counting kit 8 and immunofluorescence assays. We revealed that DNASE1L3 expression was downregulated in RCC group compared with control group [The Cancer Genome Atlas (TCGA): 7.98 vs. 10.87, P<0.001]. Meanwhile, DNASE1L3 expression correlated with the clinical characteristics of patients. Patients with low DNASE1L3 expression had worse survival (P<0.001) and larger (r=-0.32, P<0.001) and heavier tumors (r=-0.17, P<0.001). DNASE1L3 overexpression inhibited the proliferation (786-O: 0.135±0.014 vs. 0.322±0.027, P<0.001) and invasion (786-O: 1,479±134 vs. 832±67, P<0.05) of RCC cells. The expression of DNASE1L3 was significantly correlated with the tumor immune microenvironment and drug sensitivity in ccRCC. Moreover, the level of the key phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway protein P-AKT was decreased in the group of cells transfected with DNASE1L3. This study strongly suggest that DNASE1L3 may be a promising potential biomarker for the diagnosis and treatment of ccRCC patients.

Immune dysfunction revealed by digital spatial profiling of immuno-oncology markers in progressive stages of renal cell carcinoma and in brain metastases

BackgroundThe tumor microenvironment (TME) contributes to cancer progression and treatment response to therapy, including in renal cell carcinoma (RCC). Prior profiling studies, including single-cell transcriptomics, often involve limited sample sizes...

Extracellular vesicle-circEHD2 promotes the progression of renal cell carcinoma by activating cancer-associated fibroblasts

BackgroundThe encapsulation of circular RNAs (circRNAs) into extracellular vesicles (EVs) enables their involvement in intercellular communication and exerts an influence on the malignant advancement of various tumors. However, the regulatory role of EVs-circRNA in renal cell carcinoma (RCC) remains elusive.MethodsThe in vitro and in vivo functional experiments were implemented to measure the effects of circEHD2 on the phenotype of RCC. The functional role of EVs-circEHD2 on the activation of fibroblasts was assessed by collagen contraction assay, western blotting, and enzyme-linked immunosorbent assay (ELISA). The mechanism was investigated by RNA pull-down assay, RNA immunoprecipitation, chromatin isolation by RNA purification, luciferase assay, and co-immunoprecipitation assay.ResultsWe demonstrated that circEHD2 was upregulated in RCC tissues and serum EVs of RCC patients with metastasis. Silencing circEHD2 inhibited tumor growth in vitro and in vivo. Mechanistic studies indicated that FUS RNA -binding protein (FUS) accelerated the cyclization of circEHD2, then circEHD2 interacts with tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein eta (YWHAH), which acts as a bridge to recruit circEHD2 and Yes1-associated transcriptional regulator (YAP) to the promoter of SRY-box transcription factor 9 (SOX9); this results in the sustained activation of SOX9. Heterogeneous nuclear ribonucleoprotein A2/B1 (hnRNPA2B1) regulates the package of circEHD2 into EVs, then EVs-circEHD2 transmits to fibroblasts, converting fibroblasts to cancer-associated fibroblasts (CAFs). Activated CAFs promote the metastasis of RCC by secreting pro-inflammatory cytokines such as IL-6. Furthermore, antisense oligonucleotides (ASOs) targeting circEHD2 exhibited a strong inhibition of tumor growth in vivo.ConclusionsThe circEHD2/YWHAH/YAP/SOX9 signaling pathway accelerates the growth of RCC. EVs-circEHD2 facilitates the metastasis of RCC by converting fibroblasts to CAFs. Our results suggest that EVs-circEHD2 may be a useful biomarker and therapeutic target for RCC.

Zinc Finger Protein 36 Triggers Proliferation in Renal Cell Carcinoma by Negatively Regulating Krüppel-Like Transcription Factor 10

To uncover the role of Zinc finger protein 36 (Zfp36) in aggravating the development of renal cell carcinoma (RCC) and its regulatory effects on Krüppel-like transcription factor 10 (KLF10). Differential expressions of Zfp36 in 50 RCC tissues and their paracancerous ones were detected. Zfp36 level and its influence on clinical indicators in RCC patients was analyzed. After confirming transfection efficacy of sh-Zfp36 in Caki-1 and 786-O cells, changes in proliferation and apoptosis were assessed by cell counting kit-8 (CCK-8), colony formation and flow cytometry. Molecular mechanisms of Zfp36 on its downstream gene KLF10, and their involvement in the development of RCC were finally explored. Zfp36 was upregulated in RCC tissues than paracancerous ones. High level of Zfp36 predicted advanced tumor staging in RCC. Knockdown of Zfp36 attenuated proliferative ability and triggered apoptosis in Caki-1 and 786-O cells. KLF10, the downstream gene binding Zfp36, was downregulated in RCC tissues. A negative correlation was identified between expression levels of Zfp36 and KLF10. Knockdown of KLF10 abolished regulatory effects of Zfp36 on RCC phenotypes. Zfp36 is related to tumor staging in RCC patients. It regulates proliferative potential and apoptosis in RCC via negatively regulating KLF10.

MiR-30c-2-3p suppresses the proliferation of human renal cell carcinoma cells by targeting TOP2A.

The ambiguity of renal cell carcinoma (RCC) symptoms hinders early diagnosis, thereby contributing to high mortality rates. By attaching to the 3'-untranslated region (UTR) of the target gene, microRNAs (miRNAs) exert significant control over the expression of genes. To investigate the influence of miR-30c-2-3p and DNA topoisomerase II alpha (TOP2A) on RCC growth and the mechanisms underlying the regulation of its expression. The expression of miRNA-30c-2-3p and TOP2A in RCC cells was examined using quantitative real-time polymerase chain reaction (qRT-PCR). MiR-30c-2-3p mimics, its inhibitors, and controls, as well as TOP2A short hairpin RNA (shRNA) and controls, were used to transfect the human RCC cell lines 786-O, Caki-1, and ACHN. Additionally, the roles of miRNA-30c-2-3p and TOP2A in the growth of RCC were evaluated using the cell counting kit (CCK)-8 test, colony formation assay, apoptosis analysis, and Western blotting. Meanwhile, binding of miRNA-30c-2-3p and TOP2A was verified using dual-luciferase reporter assays and Western blotting. miR-30c-2-p is underexpressed in RCC cells. Overexpression of miR-30c-2-p promotes apoptosis and inhibits proliferation of ACHN, Caki-1, and 786-O cells. miR-30c-2-3p targets TOP2A, which is elevated in RCC tissues and cells, whereas TOP2A silencing inhibits the proliferation ability of RCC cells. The miRNA-30c-2-3p inhibitor compromises TOP2A shRNA-induced apoptosis of RCC. RCC cells cotransfected with miRNA-30c-2-3p inhibitors and TOP2A shRNAs have a higher proliferation rate than those transfected with only TOP2A shRNAs. Collectively, our results verify that miRNA-30c-2-3p has a tumor suppressor property. miRNA-30c-2-3p inhibits the proliferation of RCC through regulation of TOP2A. The data provide a viable therapeutic target for RCC.

Distinguishing Renal Cell Carcinoma From Normal Kidney Tissue Using Mass Spectrometry Imaging Combined With Machine Learning.

Accurately distinguishing renal cell carcinoma (RCC) from normal kidney tissue is critical for identifying positive surgical margins (PSMs) during partial and radical nephrectomy, which remains the primary intervention for localized RCC. Techniques that detect PSM with higher accuracy and faster turnaround time than intraoperative frozen section (IFS) analysis can help decrease reoperation rates, relieve patient anxiety and costs, and potentially improve patient outcomes. Here, we extended our combined desorption electrospray ionization mass spectrometry imaging (DESI-MSI) and machine learning methodology to identify metabolite and lipid species from tissue surfaces that can distinguish normal tissues from clear cell RCC (ccRCC), papillary RCC (pRCC), and chromophobe RCC (chRCC) tissues. From 24 normal and 40 renal cancer (23 ccRCC, 13 pRCC, and 4 chRCC) tissues, we developed a multinomial lasso classifier that selects 281 total analytes from over 27,000 detected molecular species that distinguishes all histological subtypes of RCC from normal kidney tissues with 84.5% accuracy. On the basis of independent test data reflecting distinct patient populations, the classifier achieves 85.4% and 91.2% accuracy on a Stanford test set (20 normal and 28 RCC) and a Baylor-UT Austin test set (16 normal and 41 RCC), respectively. The majority of the model's selected features show consistent trends across data sets affirming its stable performance, where the suppression of arachidonic acid metabolism is identified as a shared molecular feature of ccRCC and pRCC. Together, these results indicate that signatures derived from DESI-MSI combined with machine learning may be used to rapidly determine surgical margin status with accuracies that meet or exceed those reported for IFS.

Downregulation of RAB17 have a poor prognosis in kidney renal clear cell carcinoma and its expression correlates with DNA methylation and immune infiltration

BackgroundRAB17 is one of the RAB family members. It has been reported to be closely associated with a variety of tumors and has different roles in various tumors. However, the effect of RAB17 in KIRC remains unclear. Materials and methodsWe analyzed the differential expression of RAB17 in kidney renal clear cell carcinoma (KIRC) tissues and normal tissues using the public databases. The prognostic role of RAB17 in KIRC was analyzed using the Cox regression methods, and a prognostic model was constructed based on the results of the Cox analysis. In addition, further analysis of RAB17 in KIRC was performed in relation to genetic alterations, DNA methylation m6A methylation and immune infiltration. Finally, RAB17 mRNA and protein expression levels were analyzed in tissue samples (KIRC tissues and normal tissues) and cell lines (normal renal tubular cell and KIRC cells), and in vitro functional assays were performed. ResultsRAB17 was low-expressed in KIRC. Downregulation of RAB17 expression is correlated with unfavorable clinicopathological characteristics and a worse prognosis in KIRC. The RAB17 gene alteration in KIRC was primarily characterized by copy number alteration. Six CpG sites of RAB17 DNA methylation levels are higher in KIRC tissues than in normal tissues, and are correlated with RAB17 mRNA expression levels, showing a significant negative correlation. cg01157280 site DNA methylation levels are associated with pathological stage and overall survival, and it may be the only CpG site with independent prognostic significance. Functional mechanism analysis revealed that RAB17 is closely associated with immune infiltration. RAB17 expression was found to be negatively correlated with most immune cell infiltration according to two different methods. Furthermore, most immunomodulators were significantly negatively correlated with RAB17 expression, and significantly positively correlated with RAB17 DNA methylation levels. RAB17 was significantly low expression in KIRC cells and KIRC tissues. In vitro, silencing of RAB17 promoted KIRC cell migration. ConclusionRAB17 can be used as a potential prognostic biomarker for patients with KIRC and for assessing immunotherapy response.

CircZBTB44 promotes renal carcinoma progression by stabilizing HK3 mRNA structure

CircZBTB44 (hsa_circ_0002484) has been identified to be upregulated in renal cell carcinoma (RCC) tissues, while its role and contribution in RCC remain elusive. We confirmed the overexpression of circZBTB44 in RCC cells compared to normal kidney cell HK-2. CircZBTB44 knockdown suppressed the viability, proliferation, and migration of RCC cells and inhibited tumorigenesis in xenograft mouse models. Heterogeneous Nuclear Ribonucleoprotein C (HNRNPC) and Insulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3) are two RNA binding proteins of circZBTB44. HNRNPC facilitated the translocation of circZBTB44 from nuclei to cytoplasm via m6A modification, facilitating the interaction of IGF2BP3 and circZBTB44 in the cytoplasm of RCC cells. Furthermore, circZBTB44 upregulated Hexokinase 3 (HK3) expression by binding to IGF2BP3 in RCC cells. HK3 exerted oncogenic effects on RCC cell malignant behaviors and tumor growth. In the co-culture of RCC cells with macrophages, circZBTB44 promoted M2 polarization of macrophages by up-regulating HK3. In summary, HNRNPC mediated circZBTB44 interaction with IGF2BP3 to up-regulate HK3, promoting the proliferation and migration of RCC cells in vitro and tumorigenesis in vivo. The results of the study shed new light on the targeted therapy of RCC.

ORP8 inhibits renal cell carcinoma progression by accelerating Stathmin1 degradation and microtubule polymerization

ORP8 has been reported to suppress tumor progression in various malignancies. However, the functions and underlying mechanisms of ORP8 are still unknown in renal cell carcinoma (RCC).Here, decreased expression of ORP8 was detected in RCC tissues and cell lines. Functional assays verified that ORP8 suppressed RCC cell growth, migration, invasion, and metastasis. Mechanistically, ORP8 attenuated Stathmin1 expression by accelerating ubiquitin-mediated proteasomal degradation and led to an increase in microtubule polymerization. Lastly, ORP8 knockdown partly rescued microtubule polymerization, as well as aggressive cell phenotypes induced by paclitaxel. Our findings elucidated that ORP8 suppressed the malignant progression of RCC by increasing Stathmin1 degradation and microtubule polymerization, thus suggesting that ORP8 might be a novel target for the treatment of RCC.

HMOX1 pathway signature predicts clinical benefit from immunotherapy plus tyrosine kinase inhibitor therapy in advanced renal cell carcinoma.

Immunotherapy (IO) plus tyrosine kinase inhibitor (TKI) emerged as standard first-line therapy for advanced renal cell carcinoma (RCC). The heme Oxygenase 1 (HMOX1) pathway is involved in tumor development and treatment resistance, which may affect the efficacy of TKI + IO. Two cohorts from our center (ZS-MRCC, ZS-HRRCC), one cohort from clinical trial (JAVELIN Renal 101) and the Cancer Genome Atlas (TCGA-KIRC) were enrolled. HMOX1 pathway signatures were determined for each sample by RNA-sequencing and gene set enrichment analysis. Immune infiltration was evaluated by flow cytometry. Response and progression-free survival (PFS) were set as primary endpoints. Patients of low-HMOX1 signature showed higher objective response rate (43.5% vs. 27.3%) in ZS-MRCC cohort and longer PFS in both cohorts (ZS-MRCC cohort, p= 0.019; JAVELIN-101 cohort, p= 0.036). Patients in the high-HMOX1 signature arm also showed greater clinical benefit from TKI + IO, rather than TKI monotherapy (p< 0.001). In high-HMOX1 signature RCC tissues, CD8+ T cells showed a dysfunctional phenotype with decreased GZMB expression (Spearman's ρ=-0.32, p= 0.045). A risk score based on HMOX1 signature was further constructed by random forest approach, involving HMOX1 signature and immunologic features. In patients with a low risk level, TKI + IO combination therapy demonstrated longer PFS than TKI monotherapy (p< 0.001), however in individuals with a high risk score group, these two regimens did not give different advantages. Our study identified the HMOX1 pathway signature was a potential prognostic factor of progression-free survival for TKI + IO combination therapy in the advanced RCC in different cohort, especially in first-line management of mRCC in the Javelin 101 cohort. Moreover, HMOX1 signature was associated with T-cell function in tumor environment.

The involvement of PDIA2 gene in the progression of renal cell carcinoma is potentially through regulation of JNK signaling pathway.

Renal cell carcinoma (RCC) with poor prognosis and high incidence rate is a common malignant disease. Current therapies could bring little benefit for the patients with advanced-stage RCC. PDIA2 is an isomerase responsible for protein folding and its role in cancer including RCC is under investigation. In this study, we found that PDIA2 was expressed much higher in RCC tissues than the control but the methylation level of PDIA2 promoter was lower based on the TCGA data. Patients with higher PDIA2 expression exerted worse survival. In clinical specimen, PDIA2 expression was correlated to patients' clinical factors such as TNM stage (I/II vs III/IV, p = 0.025) and tumor size (≤ 7cm vs > 7cm, p = 0.004). Moreover, K-M analysis showed that PDIA2 was associated with patients' survival in RCC. PDIA2 was expressed much higher in cancer cells A498 than 786-O than that in 293T cells. After PDIA2 was knocked down, cell proliferation, migration and invasion was potently inhibited. But cell apoptotic rate increased reversely. Furthermore, the efficacy of Sunitinib on RCC cells was strengthened after PDIA2 knockdown. In addition, knockdown of PDIA2 gene leaded to downregulation of levels of JNK1/2, phosphorylated JNK1/2, c-JUN, and Stat3. But this inhibition was partially released when JNK1/2 was overexpressed. In consistent, cell proliferation was also partially recovered. In summary, PDIA2 plays important role in progression of RCC and JNK signaling pathway might be regulated by PDIA2. This study suggests PDIA2 as a candidate target for therapy of RCC.

Abstract 672: A genetic defect in phenylalanine hydroxylase (PAH) affects the immune system in kidney

Abstract PAH, one of the genes associated with inborn error of metabolism (IEM), codes for phenylalanine hydroxylase and is specifically expressed in the liver and kidney. When PAH is dysfunctional, phenylalanine (Phe) cannot be converted to tyrosine (Tyr), and it produces toxic metabolites such as phenylpyruvate by a metabolic shift. We previously analyzed germline variants of IEM-related genes using public cancer multi-omics data. As a result, there was a high frequency of mutations in the PAH gene, and germline variants were particularly high in renal cell carcinoma (RCC). Based on this data, we suggest that kidney-specific expressed PAH mutations could change the kidney tissue microenvironment, which makes them more vulnerable to chronic kidney disease (CKD) and affects cancer development. We used the PAH enu2 mice model, which has a missense mutation in the PAH gene. PAH homozygous mutant mice display phenylketonuria (PKU) when not maintained on a Phe-free diet. PAH enu2 mice were maintained a normal diet. The concentration of phenylalanine in the mice's serum was measured each week. Then, the proportions of immune cells were analyzed in peripheral blood and kidney. Next, Jurkat cells, which are well-known as human T-cell lines, were applied to the in vitro experiment. Jurkat cells were cultured in a medium containing Phe or PPA and were activated by PHA/PMA or anti-CD3/CD28. Then after, the expression of immune-related markers was evaluated. Additionally, the expression of the PAH enzyme in human RCC and normal tissue was assessed by immunohistochemistry (IHC). The concentration of Phe in mice serum was higher when the PAH gene was defective; homozygous mutant, heterozygous mutant. As PAH-defective mice got older, the T cell population decreased in the blood and kidney immune cells. When Jurkat T cells were cultured with Phe or PPA, the expression of IL-2, a cytokine related to T cell expansion, decreased in the PPA-treated and activated group. There were more significant changes when treated with PPA rather than Phe. IHC data shows the expression of PAH was significantly decreased in RCC tissues compared to non-tumor tissue. These results suggest that the immune system could be changed by PAH dysfunction bearing a germline mutation. Moreover, the kidney tissue microenvironment with PAH defects is vulnerable to the development of kidney disease, which can lead to RCC. This is a novel discovery that can explain the importance of the role PAH gene in kidney disease. Citation Format: Seojeong Kim, Chaelin Kang, Jihyun Park, Seung Seok Han, Youngil Koh, Sung-Soo Yoon. A genetic defect in phenylalanine hydroxylase (PAH) affects the immune system in kidney [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 672.

Abstract 44: An in vivo platform of pre-characterized renal cell carcinoma (RCC) patient-derived xenograft models allows the preclinical evaluation of patient-tailored intervention strategies

Abstract Renal cell carcinoma (RCC), is the most common kidney cancer of adults, originating in the lining of the proximal convoluted tubule. Prognosis is poor in patients with advanced or metastasized RCC. Drug resistance towards Standard of Care (SoC, incl. everolimus, sorafenib, or sunitinib) drugs develops frequently within months. Therefore, development of novel options to target acquired TKI resistance mechanisms in advanced and metastatic RCC is still an urgent medical need. Preclinical models with high translational relevance can promote the implementation of novel personalized therapies. To evaluate novel targeted therapies and their combinations in preclinical settings, patient-derived xenograft (PDX) models represent valuable tools. Responsible local ethics committees approved usage of patient tissue and all animal procedures. In this study, RCC tissue from 167 patients was collected and xenotransplanted in mice. Partially, a multi-region approach, xenografting tissue from different regions of one tumor, was used. PDX models were characterized by immunohistochemistry (Ki-67, CD31, Pax2 and Pax8 antibodies), gene expression, copy number variations and mutational analyses. To evaluate in vivo drug response of RCC PDX models, mice transplanted with PDX tumors were treated with bevacizumab (i.p.), with everolimus, sorafenib, or sunitinib (p.o.). Adopted clinical response criteria for solid tumors (RECIST) were applied to classify the anti-tumor activity of the tested compounds in RCC PDX models. Next generation sequencing (NGS, panel) and transcriptome data were used to compare primary tumors and metastases. A comprehensive panel of subcutaneous RCC PDX models with well-conserved molecular and pathological features over multiple passages was established. The overall take for the RCC PDX in this study was 21%. Tumor growth characteristics were heterogeneous throughout the different models but were stable during in vivo passaging. Drug screening towards four SoC drugs, targeting the VEGF and PI3K/mTOR pathway, revealed individual and heterogeneous response profiles in the PDX, resembling the clinical situation. Intra-tumor heterogeneity can be assessed via PDX models from multi-tumor regions from one patient in our platform. Development of corresponding in vitro cell culture models from the PDX enables advanced high throughput drug screening in a personalized context. Analyzing novel targeted molecules is possible due to the pre-established molecular characterization of the PDX at the genomic and expression level. In conclusion, we established a new and molecularly characterized panel of RCC PDX models with high relevance for translational preclinical research. Citation Format: Dennis Kobelt, Dennis Gürgen, Michael Becker, Mathias Dahlmann, Susanne Flechsig, Elke Schaeffeler, Florian A. Büttner, Christian Schmees, Regina Bohnert, Jens Bedke, Matthias Schwab, Johann J. Wendler, Martin Schostak, Burkhard Jandrig, Wolfgang Walther, Jens Hoffmann. An in vivo platform of pre-characterized renal cell carcinoma (RCC) patient-derived xenograft models allows the preclinical evaluation of patient-tailored intervention strategies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 44.

Abstract SY16-02: Generation of B cell immunity in tertiary lymphoid structures supports response to immunotherapy

Abstract SY16-02: Generation of B cell immunity in tertiary lymphoid structures supports response to immunotherapy

Abstract 1015: VEGFR-3 expression profiling by histology to classify patient population for the selective VEGFR-3 inhbitor EVT801

Abstract Introduction: EVT801 is a highly selective small molecule inhibitor of VEGFR-3 and acts by inhibiting tumor lymphangiogenesis and angiogenesis. Among the tyrosine kinase inhibitors, EVT801 has shown compelling activity in a wide range of cancer models and favorable preclinical toxicology profile. A phase I clinical study (NCT05114668) is underway to characterize safety, tolerability, pharmacokinetics of EVT801, and explore patient stratification which will be key for further development. Literature reports VEGFR-3 expression in several tumor cells - especially in kidney and liver cancers. However, we did not detect VEGFR-3 in tumor cells in translational in vivo models we explored (i.e., chemo-induced liver cancer and panel of PDX models). To clarify the situation, we validated a highly specific protocol for VEGFR-3 immunohistochemistry labelling, readily transferable to clinical centers. Results: We evaluated many different tumor types, and eventually focused our analysis on kidney cancer and soft tissue sarcomas. Initially, VEGFR-3 expression was assessed in 29 primary kidney cancer samples and 23 metastatic kidney cancer samples with CD34 to stain vessels and D2-40 to track lymphatics. We detected VEGFR-3 expression in the endothelial cells within the kidney tumor but not in the tumor cells. Remarkably, we observed a very distinct delineation between the kidney tumor vasculature, which showed high VEGFR-3 expression, and the normal adjacent tissue, which was devoid of VEGFR-3 expression. All vessels around and in the tumor were stained by CD34, whereas D2-40 staining was limited to the peritumoral regions. In addition, we found that VEGFR-3 expression in metastases from kidney tumors matched the expression pattern of the primary tumor. This held true even in patients treated with sunitinib, positioning EVT801 as a potential treatment option after failure of such multi tyrosine kinase inhibitors. Among the samples from 103 patients with soft tissue sarcomas, VEGFR-3 was generally highly expressed; however, 3 distinct groups emerged: i) tumors with high VEGFR-3 expression in tumor cells, tumor vessels and peritumoral vessels; ii) tumors with high expression in all vessels (tumor and peritumoral) but not in the tumor cells (similar to kidney tumors); iii) tumors with intermediate expression in peritumoral vessels. Conclusion: We were able to quantify VEGFR-3 expression in the kidney and soft tissue sarcoma cohorts plus several others, such as hepatocarcinoma and non-small cell lung cancer. This enables us selecting indications that might benefit from EVT801 as a monotherapy (e.g., clear cell renal cell carcinoma and soft tissue sarcomas) or in combination with standard of care. Accordingly, VEGFR-3 expression is retrospectively quantified during EVT801 clinical trial phase 1 trial and may be used to stratify patients in the future. Citation Format: michael Paillasse, pierre-benoit Ancey, Gaelle Badet, Anne Gomez-Brouchet, Janik Selves, philippe Rochaix, Maxime Battistella, Celeste Lebbe, philippe Cassier, carlos Gomez-Roca, Jean-Pierre Delord, Mark Whittaker, Lise Davenne, John Friend, Michael Fitzgerald, James Garner, Pierre Fons. VEGFR-3 expression profiling by histology to classify patient population for the selective VEGFR-3 inhbitor EVT801 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1015.

CircPTPN12 promotes the progression and sunitinib resistance of renal cancer via hnRNPM/IL-6/STAT3 pathway

Renal cell carcinoma (RCC) is characterized by the difficulties in early diagnosis and the propensity to metastases. For advanced RCC, sunitinib targeted therapy is the clinically recommended first-line drug and the major challenge of sunitinib treatment is adaptive resistance. Therefore, it is imperative to research the mechanisms underlying sunitinib resistance. In this study, we discovered that circPTPN12 was highly expressed in RCC tissues and was associated with poorer clinical outcomes. circPTPN12 could promote the proliferation, migration, invasion, and sunitinib resistance of RCC cells. Mechanistically, circPTPN12 was found to form a complex with hnRNPM, which was involved in the regulation of mRNA processing. The combination with circPTPN12 enhanced the ability of hnRNPM to maintain the stability of IL-6 mRNA and further activated the STAT3 signaling pathway. The study revealed that circPTPN12/hnRNPM/IL-6/STAT3 axis promoted RCC progression and sunitinib resistance, which might be a promising therapeutic target for relieving sunitinib resistance in RCC.

ACKR3 orchestrates Hedgehog signaling to promote renal cell carcinoma progression.

Renal cell carcinoma (RCC) is the second commonest urological malignant neoplasm and mortality rate of patients with RCC appears to be increasing each year. Thus, further understanding of the molecular mechanisms responsible for the development and progression of RCC is of particular importance. Here, we report that atypical chemokine receptor 3 (ACKR3) orchestrates the Hedgehog (Hh)-GLI1 signaling to promote RCC progression. The expression of ACKR3 is elevated in RCC tissues, which is associated with malignant and clinical outcomes of RCC, and ACKR3 expression is positively correlated with GLI1 expression in RCC tissues. Mechanically, Hh promotes RCC progression through GLI1-mediated ACKR3 transcription by the directly binding of GLI1 to ACKR3 gene, while CXCL12-ACKR3 axis simultaneously enhances Hh activation via the binding of ACKR3 to Smoothened (SMO), a receptor in Hh pathway, resulting in the upregulation of SMO phosphorylation that potentiates downstream signal activity and consequently contributes to RCC progression. Thus, our findings may provide with the evidence of developing a novel treatment method with specific target for RCC.

Metabolite-Specific Echo Planar Imaging for Preclinical Studies with Hyperpolarized 13C-Pyruvate MRI.

Metabolite-specific echo-planar imaging (EPI) sequences with spectral-spatial (spsp) excitation are commonly used in clinical hyperpolarized [1-13C]pyruvate studies because of their speed, efficiency, and flexibility. In contrast, preclinical systems typically rely on slower spectroscopic methods, such as chemical shift imaging (CSI). In this study, a 2D spspEPI sequence was developed for use on a preclinical 3T Bruker system and tested on in vivo mice experiments with patient-derived xenograft renal cell carcinoma (RCC) or prostate cancer tissues implanted in the kidney or liver. Compared to spspEPI sequences, CSI were found to have a broader point spread function via simulations and exhibited signal bleeding between vasculature and tumors in vivo. Parameters for the spspEPI sequence were optimized using simulations and verified with in vivo data. The expected lactate SNR and pharmacokinetic modeling accuracy increased with lower pyruvate flip angles (less than 15°), intermediate lactate flip angles (25° to 40°), and temporal resolution of 3 s. Overall SNR was also higher with coarser spatial resolution (4 mm isotropic vs. 2 mm isotropic). Pharmacokinetic modelling used to fit kPL maps showed results consistent with the previous literature and across different sequences and tumor xenografts. This work describes and justifies the pulse design and parameter choices for preclinical spspEPI hyperpolarized 13C-pyruvate studies and shows superior image quality to CSI.

Разработка критериев выбора терапевтического воздействия на метастатический почечно-клеточный рак с учетом факторов микроокружения опухоли.

Introduction. Metastatic renal cell carcinoma (RCC) is the most difficult urological neoplasm form to treat. The last two decades have witnessed significant progress in the RCC treatment. A better understanding of oncogenesis has led to the development of several targeted therapies, including tyrosine kinase inhibitors (TKIs), vascular endothelial growth factor (VEGF) targeting agents, and mammalian target of rapamycin (mTOR) inhibitors. Despite the developed modern approaches to treatment and drugs with a new target action on tumor cells, the problem of treating metastatic RCC remains relevant in the world oncological science. Aim of study. Development of criteria for the selection of therapeutic effects in metastatic RCC, taking into account the factors of the tumor microenvironment. Materials and methods. The biological materials of the removed tumor tissue were studied in 110 patients with verified RCC, the first 2 groups with metastatic process, who after surgical treatment received immuno-targeted therapy in various modes, and the 3rd control group without metastases, for whom treatment was limited only to the surgical stage of treatment. Cytometry was used to identify key CD class proteins belonging to various types of immunocompetent cells.Immunohistochemical studies were performed to detect the activity of expression of tumor markers Bcl 2, Ki 67, p53 and VEGF. The histomorphological picture of extra tumor heterogeneity in RCC was studied using tumor tissue microscopy. Results. Differences in the composition of immunocompetent cells in groups with metastatic RCC and tumor tissue in patients without signs of metastatic spread indicated changes in the body's immunoreactivity at different stages, depending on the degree of tumor prevalence. The selection criteria allowing to prescribe a certain immuno/targeted therapy have been determined. Discussion. Based on the results of the analysis, we were able to establish a pathological phenotype based on the criteria of extra-tumor heterogeneity in metastatic RCC. Conclusions. Studies of the subpopulation spectrum of the tumor microenvironment have shown that differences in the quantitative and morphotypic composition of immunocompetent cells are the criterion for choosing the treatment and, together with the pathological characteristics of carcinogenesis, serve as a prognostic factor of the outcome of the disease.

ALKBH1 contributes to renal cell carcinoma progression by reducing N6-methyladenine of GPR137.

Renal cell carcinoma (RCC) accounts for approximately 4% of all adult malignancies with high mortality worldwide. Although conventional chemotherapy and radiotherapy treatment has been applied for RCC in clinic, the mortality rate of patients is increasing each year, and patients with metastatic RCC are still suffering from poor prognosis. Thus, further investigation of the molecular mechanisms responsible for the development and progression of RCC is of particular importance. Total of 10 pairs of RCC tissues and adjacent nontumor tissues were collected for examination of ALKBH1 and GPR137 expression. The correlations between ALKBH1 and GPR137 expression in RCC patient were assessed by GEPIA online tool and were analyzed using auto best cutoff. The human RCC cell lines Caki-1, 786-O, ACHN, Osrc2, A498, and 769-P, were used for mechanistic investigation. Here, we report that the expression of AlkB homologue 1 (ALKBH1) is upregulated in RCC tissues, which is correlated with G-protein-coupled receptor 137 (GPR137) expression. The elevated expression of ALKBH1 is associated with RCC cell malignant characteristics, including cell proliferation and movement (migration and invasion). Mechanistic investigation further reveals that ALKBH1 reduces m6 A levels of GPR137 mRNA in RCC cells, which upregulates GPR137 mRNA levels, resulting in the increased GPR137 protein expression subsequently and the enhanced RCC cell biological actions consequently. In contrast, the suppression of GPR137 effectively alleviates the ALKBH1-induced malignancies of RCC cells. Our results indicate that ALKBH1-GPR137 axis might be used as a potential therapeutic target in RCC, contributing to finding new prognostic biomarkers for RCC at an early stage.