Sunitinib Treatment Exacerbates Intratumoral Heterogeneity in Metastatic Renal Cancer

A spatial architecture-embedding HLA signature to predict clinical response to immunotherapy in renal cell carcinoma

An important challenge in the real-world management of patients with advanced clear-cell renal cell carcinoma (aRCC) is determining who might benefit from immune checkpoint blockade (ICB). Here we performed a comprehensive multiomics mapping of aRCC in the context of ICB treatment, involving discovery analyses in a real-world data cohort followed by validation in independent cohorts. We cross-connected bulk-tumor transcriptomes across >1,000 patients with validations at single-cell and spatial resolutions, revealing a patient-specific crosstalk between proinflammatory tumor-associated macrophages and (pre-)exhausted CD8+ T cells that was distinguished by a human leukocyte antigen repertoire with higher preference for tumoral neoantigens. A cross-omics machine learning pipeline helped derive a new tumor transcriptomic footprint of neoantigen-favoring human leukocyte antigen alleles. This machine learning signature correlated with positive outcome following ICB treatment in both real-world data and independent clinical cohorts. In experiments using the RENCA-tumor mouse model, CD40 agonism combined with PD1 blockade potentiated both proinflammatory tumor-associated macrophages and CD8+ T cells, thereby achieving maximal antitumor efficacy relative to other tested regimens. Thus, we present a new multiomics and spatial map of the immune-community architecture that drives ICB response in patients with aRCC.

Impact of First Line Antiangiogenic Therapy Duration on Nivolumab Outcome in Metastatic Renal Cell Carcinoma Patients Treated in the GETUG-AFU 26 NIVOREN

BACKGROUND

In metastatic renal clear cell carcinoma (ccRCC), vascular endothelial growth factor receptor (VEGFR) and immune checkpoint are 2 main therapeutic targets. We investigated the impact of duration exposure to antiangiogenic on immunotherapy clinical outcomes in metastatic ccRCC.

METHODS

Patients from NIVOREN trial who received nivolumab after only 1 prior antiangiogenic therapy were included. Response rate, clinical benefit, progression free survival (PFS) and overall survival (OS) were prospectively analyzed depending on the duration of the first line (< 6 months, ≥6 months) and exploratory in patients with long first line exposure (≥18 months). The circulating levels of 8 plasma proteins and cytokines at baseline were collected and compared according to first line antiangiogenic duration.

RESULTS

Among 354 patients, 127 (36%) and 227 (64%) patients had received first line antiangiogenic for < 6months and ≥ 6months respectively. Respective duration of first line therapy was not associated with objective response to nivolumab (20.5% vs. 23.9%, P = .50), or PFS (HR 0.92; P = .421). Median OS was respectively 16.6 and 31.3 months in the <6 and ≥6 months subgroups respectively. Adjusted on international metastatic renal cell carcinoma database consortium risk, age and metastatic site, OS was longer in patients with longer treatment duration in the first line setting (HR 0.73; P = .017). Duration of first line VEGFR TKI was independent from circulating levels of 8 proteins and cytokines at nivolumab baseline.

CONCLUSION

Nivolumab activity in second line is independent from first-line duration of VEGFR TKI. However, first line VEGFR TKI duration ≥ 6 months is associated with longer OS.

Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET-MRI data

In oncology, intratumoural heterogeneity is closely linked with the efficacy of therapy, and can be partially characterized via tumour biopsies. Here we show that intratumoural heterogeneity can be characterized spatially via phenotype-specific, multi-view learning classifiers trained with data from dynamic positron emission tomography (PET) and multiparametric magnetic resonance imaging (MRI). Classifiers trained with PET-MRI data from mice with subcutaneous colon cancer quantified phenotypic changes resulting from an apoptosis-inducing targeted therapeutic and provided biologically relevant probability maps of tumour-tissue subtypes. When applied to retrospective PET-MRI data of patients with liver metastases from colorectal cancer, the trained classifiers characterized intratumoural tissue subregions in agreement with tumour histology. The spatial characterization of intratumoural heterogeneity in mice and patients via multimodal, multiparametric imaging aided by machine-learning may facilitate applications in precision oncology.

N6-methyladenosine-modified TRAF1 promotes sunitinib resistance by regulating apoptosis and angiogenesis in a METTL14-dependent manner in renal cell carcinoma

Background

Sunitinib resistance can be classified into primary and secondary resistance. While accumulating research has indicated several underlying factors contributing to sunitinib resistance, the precise mechanisms in renal cell carcinoma are still unclear.

Methods

RNA sequencing and m6A sequencing were used to screen for functional genes involved in sunitinib resistance. In vitro and in vivo experiments were carried out and patient samples and clinical information were obtained for clinical analysis.

Results

We identified a tumor necrosis factor receptor-associated factor, TRAF1, that was significantly increased in sunitinib-resistant cells, resistant cell-derived xenograft (CDX-R) models and clinical patients with sunitinib resistance. Silencing TRAF1 increased sunitinib-induced apoptotic and antiangiogenic effects. Mechanistically, the upregulated level of TRAF1 in sunitinib-resistant cells was derived from increased TRAF1 RNA stability, which was caused by an increased level of N6-methyladenosine (m6A) in a METTL14-dependent manner. Moreover, in vivo adeno-associated virus 9 (AAV9) -mediated transduction of TRAF1 suppressed the sunitinib-induced apoptotic and antiangiogenic effects in the CDX models, whereas knockdown of TRAF1 effectively resensitized the sunitinib-resistant CDXs to sunitinib treatment.

Conclusions

Overexpression of TRAF1 promotes sunitinib resistance by modulating apoptotic and angiogenic pathways in a METTL14-dependent manner. Targeting TRAF1 and its pathways may be a novel pharmaceutical intervention for sunitinib-treated patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12943-022-01549-1.

Key sunitinib-related biomarkers for renal cell carcinoma

Background

Renal cell carcinoma (RCC) contributed to 403,262 new cases worldwide in 2018, which constitutes 2.2% of global cancer, nevertheless, sunitinib, one of the major targeted therapeutic agent for RCC, often developed invalid due to resistance. Emerging evidences suggested sunitinib can impact tumor environment which has been proven to be a vital factor for tumor progression.

Methods

In the present study, we used ssGSEA to extract the immune infiltrating abundance of clear cell RCC (ccRCC) and normal control samples from GSE65615, TCGA, and GTEx; key immune cells were determined by Student's t‐test and univariable Cox analysis. Co‐expression network combined with differentially expressed analysis was then applied to derive key immune‐related genes for ccRCC, followed by the identification of hub genes using differential expression analysis. Subsequently, explorations and validations of the biological function and the immune‐related and sunitinib‐related characteristics were conducted in KEGG, TISIDB, Oncomine, ICGC, and GEO databases.

Results

We refined immature dendritic cells and central memory CD4 T cells which showed associations with sunitinib and ccRCC. Following, five hub genes (CRYBB1, RIMBP3C, CEACAM4, HAMP, and LYL1) were identified for their strong relationships with sunitinib and immune infiltration in ccRCC. Further validations in external data refined CRYBB1, CEACAM4, and HAMP which play a vital role in sunitinib resistance, immune infiltrations in ccRCC, and the development and progression of ccRCC. In conclusion, our findings could shed light on the resistance of sunitinib in ccRCC and provide novel biomarkers or drug targets for ccRCC.

Three-Dimensional Printed Molds for Image-Guided Surgical Biopsies: An Open Source Computational Platform

PURPOSE

Spatial heterogeneity of tumors is a major challenge in precision oncology. The relationship between molecular and imaging heterogeneity is still poorly understood because it relies on the accurate coregistration of medical images and tissue biopsies. Tumor molds can guide the localization of biopsies, but their creation is time consuming, technologically challenging, and difficult to interface with routine clinical practice. These hurdles have so far hindered the progress in the area of multiscale integration of tumor heterogeneity data.

METHODS

We have developed an open-source computational framework to automatically produce patient-specific 3-dimensional-printed molds that can be used in the clinical setting. Our approach achieves accurate coregistration of sampling location between tissue and imaging, and integrates seamlessly with clinical, imaging, and pathology workflows.

RESULTS

We applied our framework to patients with renal cancer undergoing radical nephrectomy. We created personalized molds for 6 patients, obtaining Dice similarity coefficients between imaging and tissue sections ranging from 0.86 to 0.96 for tumor regions and between 0.70 and 0.76 for healthy kidneys. The framework required minimal manual intervention, producing the final mold design in just minutes, while automatically taking into account clinical considerations such as a preference for specific cutting planes.

CONCLUSION

Our work provides a robust and automated interface between imaging and tissue samples, enabling the development of clinical studies to probe tumor heterogeneity on multiple spatial scales.

The Efficacy of Sunitinib Treatment of Renal Cancer Cells Is Associated with the Protein PHAX In Vitro

Anti-angiogenic agents, such as the multi-tyrosine kinase inhibitor sunitinib, are key first line therapies for metastatic clear cell renal cell carcinoma (ccRCC), but their mechanism of action is not fully understood. Here, we take steps towards validating a computational prediction based on differential transcriptome network analysis that phosphorylated adapter RNA export protein (PHAX) is associated with sunitinib drug treatment. The regulatory impact factor differential network algorithm run on patient tissue samples suggests PHAX is likely an important regulator through changes in genome-wide network connectivity. Immunofluorescence staining of patient tumours showed strong localisation of PHAX to the microvasculature consistent with the anti-angiogenic effect of sunitinib. In normal kidney tissue, PHAX protein abundance was low but increased with tumour grade (G1 vs. G3/4; p < 0.01), consistent with a possible role in cancer progression. In organ culture, ccRCC cells had higher levels of PHAX protein expression than normal kidney cells, and sunitinib increased PHAX protein expression in a dose dependent manner (untreated vs. 100 µM; p < 0.05). PHAX knockdown in a ccRCC organ culture model impacted the ability of sunitinib to cause cancer cell death (p < 0.0001 untreated vs. treated), suggesting a role for PHAX in mediating the efficacy of sunitinib.

Comprehensive characterization of cell-free tumor DNA in plasma and urine of patients with renal tumors

BACKGROUND

Cell-free tumor-derived DNA (ctDNA) allows non-invasive monitoring of cancers, but its utility in renal cell cancer (RCC) has not been established.

METHODS

Here, a combination of untargeted and targeted sequencing methods, applied to two independent cohorts of patients (n = 91) with various renal tumor subtypes, were used to determine ctDNA content in plasma and urine.

RESULTS

Our data revealed lower plasma ctDNA levels in RCC relative to other cancers of similar size and stage, with untargeted detection in 27.5% of patients from both cohorts. A sensitive personalized approach, applied to plasma and urine from select patients (n = 22) improved detection to ~ 50%, including in patients with early-stage disease and even benign lesions. Detection in plasma, but not urine, was more frequent amongst patients with larger tumors and in those patients with venous tumor thrombus. With data from one extensively characterized patient, we observed that plasma and, for the first time, urine ctDNA may better represent tumor heterogeneity than a single tissue biopsy. Furthermore, in a subset of patients (n = 16), longitudinal sampling revealed that ctDNA can track disease course and may pre-empt radiological identification of minimal residual disease or disease progression on systemic therapy. Additional datasets will be required to validate these findings.

CONCLUSIONS

These data highlight RCC as a ctDNA-low malignancy. The biological reasons for this are yet to be determined. Nonetheless, our findings indicate potential clinical utility in the management of patients with renal tumors, provided improvement in isolation and detection approaches.

Clinical Outcomes of First-line Sunitinib Followed by Immuno-oncology Checkpoint Inhibitors in Patients With Metastatic Renal Cell Carcinoma

BACKGROUND

The present retrospective, longitudinal cohort study assessed the association between the first-line sunitinib treatment duration and clinical outcomes with second-line immuno-oncology (IO) therapy among patients with metastatic renal cell carcinoma (mRCC).

PATIENTS AND METHODS

A total of 161 patients with mRCC who had been treated with first-line sunitinib and subsequent IO therapy from select International mRCC Database Consortium centers were included. The overall survival, time to next therapy, time to treatment discontinuation, and real-world physician-assessed best response measured from IO therapy initiation were analyzed and compared between patients treated with first-line sunitinib for ≥ 6 months and those treated for < 6 months.

RESULTS

The 116 patients treated with sunitinib for ≥ 6 months tended to be older and to have a better International mRCC Database Consortium risk than the 45 patients treated for < 6 months (favorable, 36% vs. 8%, P = .001; intermediate, 59% vs. 70%, P = .21; poor, 5% vs. 22%, P = .007). The receipt of sunitinib for ≥ 6 months versus < 6 months was associated with longer survival (hazard ratio [HR], 0.42; 95% confidence interval [CI], 0.21-0.87; P = .02). No significant association was observed between the first-line sunitinib duration and second-line IO outcomes, including the time to next therapy (HR, 0.89; 95% CI, 0.52-1.51; P = .66), time to treatment discontinuation (HR, 0.85; 95% CI, 0.54-1.34; P = .49), and tumor response (odds ratio, 0.73; 95% CI, 0.22-2.49; P = .62).

CONCLUSIONS

We found no statistically significant association between the first-line sunitinib duration and clinical outcomes with second-line IO therapy. Patients receiving first-line sunitinib for ≥ 6 months compared with < 6 months was associated with better overall survival, although potential unadjusted confounders could have been present. These findings support the paradigm that previous therapy will not dictate the effectiveness of subsequent immunotherapy.

Resistance to Systemic Therapies in Clear Cell Renal Cell Carcinoma: Mechanisms and Management Strategies

Renal cell carcinoma (RCC) is the most common form of kidney cancer. It is categorized into various subtypes, with clear cell RCC (ccRCC) representing about 85% of all RCC tumors. The lack of sensitivity to chemotherapy and radiation therapy prompted research efforts into novel treatment options. The development of targeted therapeutics, including multi-targeted tyrosine kinase inhibitors (TKI) and mTOR inhibitors, has been a major breakthrough in ccRCC therapy. More recently, other therapeutic strategies, including immune checkpoint inhibitors, have emerged as effective treatment options against advanced ccRCC. Furthermore, recent advances in disease biology, tumor microenvironment, and mechanisms of resistance formed the basis for attempts to combine targeted therapies with newer generation immunotherapies to take advantage of possible synergy. This review focuses on the current status of basic, translational, and clinical studies on mechanisms of resistance to systemic therapies in ccRCC. Mol Cancer Ther; 17(7); 1355-64. ©2018 AACR.

Loss of BAP1 expression in metastatic tumor tissue is an event of poor prognosis in patients with metastatic clear cell renal cell carcinoma

PURPOSE

To evaluate the prognostic impact of the protein expression of both PBRM1 and BAP1 in metastatic tissue of patients with metastatic clear cell renal cell carcinoma (ccRCC).

PATIENTS AND METHODS

In all 124 consecutive cases of metastatic ccRCC, who underwent metastasectomy or biopsy of metastatic tumor tissue between 2007 and 2016 were selected from the medical records of our institution. Additionally, 38 paired cases with tissue from the primary tumor involving radical or partial nephrectomy for ccRCC were also selected. All cases were reviewed for uniform reclassification and the most representative tumor areas were selected for the construction of a tissue microarray.

RESULTS

PBRM1 nuclear staining of the 124-immunostained metastases of ccRCC specimens showed that 98 (79.0%) had negative expression and 26 (21.0%) positive expression of PBRM1. Regarding BAP1 expression, we observed that 77 (62.1%) specimens were negative and 47 (37.9%) showed positive nuclear staining. When we compared the expression of both markers on primary tumor and tumor metastasis, we found disagreement in half of the cases. Five-year overall survival rates in patients with positive expression and negative expression of BAP1 were 53.2% and 35.1%, respectively (P = 0.004). Five-year progression-free survival rates in patients with positive expression and negative expression of BAP1 were 14.9% and 3.9%, respectively (P = 0.003). Conversely, PBRM1 expression did not significantly influence either overall survival or progression-free survival rates. In multivariate analysis, negative expression of BAP1 tumors also presented higher risks of death (hazard ratio (HR) = 1.913, P = 0.041) and disease progression (HR = 1.656, P = 0.021).

CONCLUSION

The use of prognostic biomarkers identified in the primary tumor tissue might be not reliable in the metastatic disease scenario. Patients with metastatic ccRCC that present loss of BAP1 expression in metastatic tissue demonstrated poor survival rates and represent a relevant risk group for tumor recurrence and death.

Immunotherapy beyond progression in advanced renal cell carcinoma: a case report and review of the literature

Immunotherapy is associated with different response patterns compared with chemotherapy and targeted therapy, including delayed response and stabilization after progression (pseudoprogression). According to new immuno-based response criteria, immunotherapy can be continued after radiological progression when a clinical benefit is observed. We report a case of an advanced renal cell carcinoma patient treated with nivolumab, who developed clinical benefit and delayed radiological response after initial progression. We performed a review of the literature on immunotherapy beyond progression in advanced solid tumors. 12 clinical trials were identified and showed that selected patients have subsequent response and survival benefit receiving immunotherapy beyond progression. Future studies are needed to optimize timing and duration of immunotherapy and to define patient selection criteria for treatment beyond progression.

Sunitinib induces early histomolecular changes in a subset of renal cancer cells that contribute to resistance

Sunitinib is the standard-of-care, first-line treatment for advanced renal cell carcinoma (RCC). Characteristics of treatment-resistant RCC have been described; however, complex tumor adaptation mechanisms obstruct the identification of significant operators in resistance. We hypothesized that resistance is a late manifestation of early, treatment-induced histomolecular alterations; therefore, studying early drug response may identify drivers of resistance. We describe an epithelioid RCC growth pattern in RCC xenografts, which emerges in sunitinib-sensitive tumors and is augmented during resistance. This growth modality is molecularly and morphologically related to the RCC spheroids that advance during in vitro treatment. Based on time-lapse microscopy, mRNA and microRNA screening, and tumor behavior-related characteristics, we propose that the spheroid and adherent RCC growth patterns differentially respond to sunitinib. Gene expression analysis indicated that sunitinib promoted spheroid formation, which provided a selective survival advantage under treatment. Functional studies confirm that E-cadherin is a key contributor to the survival of RCC cells under sunitinib treatment. In summary, we suggest that sunitinib-resistant RCC cells exist in treatment-sensitive tumors and are histologically identifiable.-Lichner, Z., Saleeb, R., Butz, H., Ding, Q., Nofech-Mozes, R., Riad, S., Farag, M., Varkouhi, A. K., dos Santos, C. C., Kapus, A., Yousef, G. M. Sunitinib induces early histomolecular changes in a subset of renal cancer cells that contribute to resistance.

RPPAware: A software suite to preprocess, analyze and visualize reverse phase protein array data

Reverse Phase Protein Arrays (RPPA) is a high-throughput technology used to profile levels of protein expression. Handling the large datasets generated by RPPA can be facilitated by appropriate software tools. Here, we describe RPPAware, a free and intuitive software suite that was developed specifically for analysis and visualization of RPPA data. RPPAware is a portable tool that requires no installation and was built using Java. Many modules of the tool invoke R to utilize the statistical features. To demonstrate the utility of RPPAware, data generated from screening brain regions of a mouse model of Down syndrome with 62 antibodies were used as a case study. The ease of use and efficiency of RPPAware can accelerate data analysis to facilitate biological discovery. RPPAware 1.0 is freely available under GNU General Public License from the project website at http://downsyndrome.ucdenver.edu/iddrc/rppaware/home.htm along with a full documentation of the tool.

Dynamic epigenetic changes to VHL occur with sunitinib in metastatic clear cell renal cancer

Background

Genetic intratumoral heterogeneity (ITH) hinders biomarker development in metastatic clear cell renal cancer (mccRCC). Epigenetic relative to genetic ITH or the presence of consistent epigenetic changes following targeted therapy in mccRCC have not been evaluated. The aim of this study was to determine methylome/genetic ITH and to evaluate specific epigenetic and genetic changes associated with sunitinib therapy.

Patients and methods

Multi-region DNA sampling performed on sequential frozen pairs of primary tumor tissue from 14 metastatic ccRCC patients, in the Upfront Sunitinib (SU011248) Therapy Followed by Surgery in Patients with Metastatic Renal Cancer: a Pilot Phase II Study (SuMR; ClinicalTrials.gov identifier: NCT01024205), at presentation (biopsy) and after 3-cycles of 50mg sunitinib (nephrectomy). Untreated biopsy and nephrectomy samples before and after renal artery ligation were controls. Ion Proton sequencing of 48 key ccRCC genes, and MethylCap-seq DNA methylation analysis was performed, data was analysed using the statistical computing environment R.

Results

Unsupervised hierarchical clustering revealed complete methylome clustering of biopsy and three nephrectomy samples for each patient (14/14 patients). For mutational status, untreated biopsy and all treated nephrectomy samples clustered together in 8/13 (61.5%) patients. The only methylation target significantly altered following sunitinib therapy was VHL promoter region 7896829 which was hypermethylated with treatment (FDR=0.077, P<0.001) and consistent for all patients (pre-treatment 50% patients had VHL mutations, 14% patients VHL hypermethylation). Renal artery ligation did not affect this result. No significant differences in driver or private mutation count was found with sunitinib treatment.

Conclusions

Demonstration of relative methylome homogeneity and consistent VHL hypermethylation, after sunitinib, may overcome the hurdle of ITH present at other molecular levels for biomarker research.

Systematic Review: Perioperative Systemic Therapy for Metastatic Renal Cell Carcinoma

Background: Approximately 16% of patients with renal cell carcinomas (RCC) present with stage IV disease at time of diagnosis. Treatment options for metastatic clear cell RCC, the most common histologic subtype, have proliferated over the past decade and include a combination of surgery and systemic therapy. The selection of systemic agent and best timing of systemic therapy in relation to nephrectomy is an area of active research. Objective: To evaluate the evidence for perioperative systemic therapy, including presurgical and postsurgical, for metastatic RCC. Methods: A systematic literature search using PubMed and MEDLINE databases was performed in January 2017 for articles related to perioperative systemic therapy in metastatic RCC using key word search terms. The authors screened the search results and identified selected publications by predetermined inclusion criteria and consensus. Expert opinion was obtained to assess for publications missed by search. Results: Early phase clinical trials of antiangiogenic tyrosine kinase inhibitors prior to cytoreductive nephrectomy in select patients show that these systemic agents are safe and effective in the presurgical setting. There are no randomized data evaluating pre- or post-surgical systemic therapy in metastatic RCC. Conclusions: Retrospective and early-phase prospective studies on the use and timing of systemic therapy in relation to cytoreductive nephrectomy in metastatic RCC show that standard of care antiangiogenic agents are safe and effective in the perioperative setting, though randomized data are still lacking. Pre-surgical immune checkpoint therapy for metastatic RCC has strong biologic rationale and holds promise. Sequential tumor sampling in neoadjuvant and presurgical trials is necessary to determine biomarkers of response and resistance.

Identification and validation of soluble carrier family expression signature for predicting poor outcome of renal cell carcinoma

The soluble carrier (SLC) family plays an important role in cell metabolism. The purpose of the current study was to screen SLCs as potential prognostic factors in clear cell renal cell carcinoma (ccRCC). A total of 509 patients with ccRCC from The Cancer Genome Atlas (TCGA) cohort were enrolled in this study. The expression profile of SLCs was obtained from the TCGA RNAseq database. Metadata of the TCGA cohort, including age, sex, TNM stage, tumor grade, American Joint Committee on Cancer stage, laterality, and overall survival, were collected. Univariate and multivariate Cox proportional hazards regression models were used to analyze the relative factors. Prognosis-associated genes were further validated in a Fudan University Shanghai Cancer Center (FUSCC) cohort consisting of 178 patients. Among a total of 364 SLC transporters, 61 were independent predictors of ccRCC patient overall survival. Among the 61 SLC transporters, 26 were significantly downregulated and 23 were significantly upregulated in tumor tissues compared with non-malignant kidney tissues. Analyses of two open source, RNA expression data sets on sunitinib response revealed that SLC10A2 was downregulated in tyrosine kinase inhibitor-resistant samples. We validated SLC10A2 expression in the FUSCC cohort and showed that SLC10A2 expression was an independent prognostic predictor of overall survival of ccRCC (hazard ratio=0.432, 95% CI: 0.204-0.915). Our results identified a number of associations of SLC gene expression with prognosis of ccRCC patients, indicating that these genes may represent possible oncogenes that could serve as therapeutic targets of ccRCC.

Overcoming intratumoural heterogeneity for reproducible molecular risk stratification: a case study in advanced kidney cancer

BACKGROUND

Metastatic clear cell renal cell cancer (mccRCC) portends a poor prognosis and urgently requires better clinical tools for prognostication as well as for prediction of response to treatment. Considerable investment in molecular risk stratification has sought to overcome the performance ceiling encountered by methods restricted to traditional clinical parameters. However, replication of results has proven challenging, and intratumoural heterogeneity (ITH) may confound attempts at tissue-based stratification.

METHODS

We investigated the influence of confounding ITH on the performance of a novel molecular prognostic model, enabled by pathologist-guided multiregion sampling (n = 183) of geographically separated mccRCC cohorts from the SuMR trial (development, n = 22) and the SCOTRRCC study (validation, n = 22). Tumour protein levels quantified by reverse phase protein array (RPPA) were investigated alongside clinical variables. Regularised wrapper selection identified features for Cox multivariate analysis with overall survival as the primary endpoint.

RESULTS

The optimal subset of variables in the final stratification model consisted of N-cadherin, EPCAM, Age, mTOR (NEAT). Risk groups from NEAT had a markedly different prognosis in the validation cohort (log-rank p = 7.62 × 10^-7; hazard ratio (HR) 37.9, 95% confidence interval 4.1-353.8) and 2-year survival rates (accuracy = 82%, Matthews correlation coefficient = 0.62). Comparisons with established clinico-pathological scores suggest favourable performance for NEAT (Net reclassification improvement 7.1% vs International Metastatic Database Consortium score, 25.4% vs Memorial Sloan Kettering Cancer Center score). Limitations include the relatively small cohorts and associated wide confidence intervals on predictive performance. Our multiregion sampling approach enabled investigation of NEAT validation when limiting the number of samples analysed per tumour, which significantly degraded performance. Indeed, sample selection could change risk group assignment for 64% of patients, and prognostication with one sample per patient performed only slightly better than random expectation (median logHR = 0.109). Low grade tissue was associated with 3.5-fold greater variation in predicted risk than high grade (p = 0.044).

CONCLUSIONS

This case study in mccRCC quantitatively demonstrates the critical importance of tumour sampling for the success of molecular biomarker studies research where ITH is a factor. The NEAT model shows promise for mccRCC prognostication and warrants follow-up in larger cohorts. Our work evidences actionable parameters to guide sample collection (tumour coverage, size, grade) to inform the development of reproducible molecular risk stratification methods.

Heterogeneity in renal cell carcinoma

INTRODUCTION

In recent years, molecular characterization of renal cell carcinoma has facilitated the identification of driver genes, specific molecular pathways, and characterization of the tumor microenvironment, which has led to a better understanding of the disease. This comprehension has revolutionized the treatment for patients with metastatic disease, but despite these advancements many patients will develop resistance leading to treatment failure. A primary cause of this resistance and subsequent treatment failure is tumor heterogeneity. We reviewed the literature on the mechanisms of tumor heterogeneity and its clinical implications.

METHODS

A comprehensive literature search was performed using the MEDLINE/PubMed Index.

RESULTS

Intertumor and intratumor heterogeneity is possibly a reason for treatment failure and development of resistance. Specifically, the genetic profile of a renal tumor differs spatially within a tumor as well as among patients. Genomic mutations can change temporally with resistant subclones becoming dominant over time.

CONCLUSIONS

Accounting for intratumor and intertumor heterogeneity with better sampling of cancer tissue is needed. This will hopefully lead to improved identification of driver mutations and actionable targets. Only then, we can move past the one-size-fits-all approach toward personalized treatment based on each individual׳s molecular profile.

Liquid Biopsy and its Potential for Management of Hepatocellular Carcinoma

PURPOSE

We summarized the recent findings of liquid biopsy in cancer field and discussed its potential utility in hepatocellular carcinoma.

METHODS

Literature published in MEDLINE, EMBASE, and Science Direct electronic databases was searched and reviewed.

RESULTS

Liquid biopsy specially referred to the detection of nucleic acids (circulating cell-free DNA, cfDNA) and circulating tumor cells (CTCs) in the blood of cancer patients. Compared to conventional single-site sampling or biopsy method, liquid biopsy had the advantages such as non-invasiveness, dynamic monitoring, and the most important of all, overcoming the limit of spatial and temporal heterogeneity. The genomic information of cancer could be profiled by genotyping cfDNA/CTC and subsequently applied to make molecular classification, targeted therapy guidance, and unveil drug resistance mechanisms. The serial sampling feature of liquid biopsy made it possible to monitor treatment response in a real-time manner and predict tumor metastasis/recurrence in advance.

CONCLUSIONS

Liquid biopsy is a non-invasive, dynamic, and informative sampling method with important clinical translational significance in cancer research and practice. Much work needs to be done before it is used in the management of HCC.

Recent advances in genitourinary tumors: A review focused on biology and systemic treatment

Updated information published up to 2016 regarding major advances in renal cancer, bladder cancer, and prostate cancer is here presented. Based on an ever better understanding of the genetic and molecular alterations that govern the initial pathogenic mechanisms of tumor oncogenesis, an improvement in the characterization and treatment of urologic tumors has been achieved in the past year. According to the Cancer Genome Atlas (ATLAS) project, alterations in the MET pathway are characteristics of type 1 papillary renal cell carcinomas, and activation of NRF2-ARE pathway is associated with the biologically distinct type 2. While sunitinib and pazopanib continue to be the standard first-line treatment in metastatic renal cell carcinoma of clear cell histology, nivolumab and cabozantinib are now the agents of choice in the second-line setting. In relation to urothelial bladder carcinoma, new potential molecular targets such as FGFR3, PI3K/AKT, RTK/RAS, CDKN2A, ARIDIA, ERBB2 have been identified. Response to adjuvant cisplatin-based chemotherapy appears to be related to basal, luminal, and p53-like intrinsic subtypes. A phase II study with eribulin and a maintenance phase II trial with vinflunine have shown promising results. Similarly, the use of the check point inhibitors in advanced disease is likely to revolutionize the management of patients who have progressed after cisplatin-based chemotherapy. In prostate cancer, seven mutually exclusive molecular subtypes have been identified by the TCGA project. Chemotherapy has been consolidated as a key treatment for castration-sensitive metastatic prostate cancer, and abiraterone, enzalutamide, cabazitaxel, and radium-223 remain standard therapeutic options for men with metastatic castration-resistant prostate cancer. All this progress will undoubtedly contribute to the development of new treatments and therapeutic strategies that will improve the survival and quality of life of our patients.

CheckMate 025 Randomized Phase 3 Study: Outcomes by Key Baseline Factors and Prior Therapy for Nivolumab Versus Everolimus in Advanced Renal Cell Carcinoma

BACKGROUND

The randomized, phase 3 CheckMate 025 study of nivolumab (n=410) versus everolimus (n=411) in previously treated adults (75% male; 88% white) with advanced renal cell carcinoma (aRCC) demonstrated significantly improved overall survival (OS) and objective response rate (ORR).

OBJECTIVE

To investigate which baseline factors were associated with OS and ORR benefit with nivolumab versus everolimus.

DESIGN, SETTING, AND PARTICIPANTS

Subgroup OS analyses were performed using Kaplan-Meier methodology. Hazard ratios were estimated using the Cox proportional hazards model.

INTERVENTION

Nivolumab 3mg/kg every 2 wk or everolimus 10mg once daily.

RESULTS AND LIMITATIONS

The minimum follow-up was 14 mo. Baseline subgroup distributions were balanced between nivolumab and everolimus arms. Nivolumab demonstrated an OS improvement versus everolimus across subgroups, including Memorial Sloan Kettering Cancer Center (MSKCC) and International Metastatic Renal Cell Carcinoma Database Consortium risk groups; age <65 and ≥65 yr; one and two or more sites of metastases; bone, liver, and lung metastases; number of prior therapies; duration of prior therapy; and prior sunitinib, pazopanib, or interleukin-2 therapy. The benefit with nivolumab versus everolimus was noteworthy for patients with poor MSKCC risk (hazard ratio 0.48, 95% confidence interval 0.32-0.70). The mortality rate at 12 mo for all subgroups was lower with nivolumab compared with everolimus. ORR also favored nivolumab. The incidence of grade 3 or 4 treatment-related adverse events across subgroups was lower with nivolumab. Limitations include the post hoc analysis and differing sample sizes between groups.

CONCLUSION

The trend for OS and ORR benefit with nivolumab for multiple subgroups, without notable safety concerns, may help to guide treatment decisions, and further supports nivolumab as the standard of care in previously treated patients with aRCC.

PATIENT SUMMARY

We investigated the impact of demographic and pretreatment features on survival benefit and tumor response with nivolumab versus everolimus in advanced renal cell carcinoma (aRCC). Survival benefit and response were observed for multiple subgroups, supporting the use of nivolumab as a new standard of care across a broad range of patients with previously treated aRCC. The trial is registered on ClinicalTrials.gov as NCT01668784.

Epigenetic sampling effects: nephrectomy modifies the clear cell renal cell cancer methylome

PURPOSE

Currently, it is unclear to what extent sampling procedures affect the epigenome. Here, this phenomenon was evaluated by studying the impact of artery ligation on DNA methylation in clear cell renal cancer.

METHODS

DNA methylation profiles between vascularised tumour biopsy samples and devascularised nephrectomy samples from two individuals were compared. The relevance of significantly altered methylation profiles was validated in an independent clinical trial cohort.

RESULTS

We found that six genes were differentially methylated in the test samples, of which four were linked to ischaemia or hypoxia (REXO1L1, TLR4, hsa-mir-1299, ANKRD2). Three of these genes were also found to be significantly differentially methylated in the validation cohort, indicating that the observed effects are genuine.

CONCLUSION

Tissue ischaemia during normal surgical removal of tumour can cause epigenetic changes. Based on these results, we conclude that the impact of sampling procedures in clinical epigenetic studies should be considered and discussed, particularly after inducing hypoxia/ischaemia, which occurs in most oncological surgery procedures through which tissues are collected for translational research.

Effective downsizing but enhanced intratumoral heterogeneity following neoadjuvant sorafenib in patients with non-metastatic renal cell carcinoma

OBJECTIVES

To evaluate the safety and feasibility of sorafenib prior to surgery for downsizing tumors in patients with non-metastatic cT1-3 renal tumors together with a characterization of functional intratumoral heterogeneity (ITH).

MATERIALS AND METHODS

The effects of 4-week sorafenib prior to curative surgery were assessed in a prospective, single-center, randomized, placebo-controlled, double-blinded, pilot trial in patients with T1-3N0M0 renal cell carcinoma (RCC). Patients received sorafenib or placebo for 28 days prior to surgery. MRI was performed at baseline and prior to surgery to calculate tumor volume. The clinical responses were further characterized on the molecular level by immunohistochemical stainings for Ki-67, cleaved caspase-3, and CD31.

RESULTS

After enrolling 20 patients into the study, 14 patients were randomized, of which 12 patients were available for analysis. While no significant change in tumor volume was seen for placebo (range = -24.2-0.2%) a reduction of 29.0% (range = -4.9-61.1%) was detected for sorafenib (p < 0.05). Primary renal tumor diameter changed from 10.6 cm (range = 6.5-10.8) to 10.7 cm (range = 6.7-11.1) in the placebo group, and from 5.4 cm (range = 4.3-7.3) to 4.4 cm (range = 3.5-6.8) for the sorafenib group, at baseline vs. 28 days of treatment. Correlative assessment of proliferation, apoptosis, and microvessel density revealed an enhanced degree of functional ITH in treated patients suggesting adaptive and/or regenerative processes with potential relevance for the development of drug resistance.

CONCLUSIONS

Sorafenib in standard dosage, given preoperatively for 28 days, was clinically active in downsizing tumors in patients with locally confined, non-metastatic RCC together but led to an enhanced functional ITH in the residual tumor tissue.

The immunomodulatory, antitumor and antimetastatic responses of melanoma-bearing normal and alcoholic mice to sunitinib and ALT-803: a combinatorial treatment approach

ALT-803, a novel IL-15/IL-15 receptor alpha complex, and the tyrosine kinase inhibitor, sunitinib, were examined for their single and combined effects on the growth of subcutaneous B16BL6 melanoma and on lymph node and lung metastasis. The study was conducted in immunocompetent C57BL/6 mice drinking water (Water mice) and in mice that chronically consumed alcohol (Alcohol mice), which are deficient in CD8(+) T cells. Sunitinib inhibited melanoma growth and was more effective in Alcohol mice. ALT-803 did not alter tumor growth or survival in Water or Alcohol mice. Combined ALT-803 and sunitinib inhibited melanoma growth and increased survival, and these effects were greater than sunitinib alone in Water mice. ALT-803 and alcohol independently suppressed lymph node and lung metastasis, whereas sunitinib alone or in combination with ALT-803 increased lymph node and lung metastasis in Water and Alcohol mice. Initially, ALT-803 increased IFN-γ-producing CD8(+)CD44(hi) memory T cells and CD8(+)CD44(hi)CD62L(lo) effector memory T cells and sunitinib decreased immunosuppressive MDSC and T regulatory cells (Treg). However, the impact of these treatments diminished with time. Subcutaneous tumors from Water mice showed increased numbers of CD8(+) T cells, CD8(+)CD44(hi) T cells, NK cells, and MDSC cells and decreased Treg cells after ALT-803 treatment.

Polypharmacology in Precision Oncology: Current Applications and Future Prospects

Over the past decade, a more comprehensive, large-scale approach to studying cancer genetics and biology has revealed the challenges of tumor heterogeneity, adaption, evolution and drug resistance, while systems-based pharmacology and chemical biology strategies have uncovered a much more complex interaction between drugs and the human proteome than was previously anticipated. In this mini-review we assess the progress and potential of drug polypharmacology in biomarker-driven precision oncology. Polypharmacology not only provides great opportunities for drug repurposing to exploit off-target effects in a new single-target indication but through simultaneous blockade of multiple targets or pathways offers exciting opportunities to slow, overcome or even prevent inherent or adaptive drug resistance. We highlight the many challenges associated with exploiting known or desired polypharmacology in drug design and development, and assess computational and experimental methods to uncover unknown polypharmacology. A comprehensive understanding of the intricate links between polypharmacology, efficacy and safety is urgently needed if we are to tackle the enduring challenge of cancer drug resistance and to fully exploit polypharmacology for the ultimate benefit of cancer patients.