Background: Renal cell carcinoma (RCC) is divided into three major histopathologic groups—clear cell (ccRCC), papillary (pRCC) and chromophobe RCC (chRCC). We performed a comprehensive re-analysis of publicly available RCC datasets from the TCGA (The Cancer Genome Atlas) database, thereby combining samples from all three subgroups, for an exploratory transcriptome profiling of RCC subgroups.Materials and Methods: We used FPKM (fragments per kilobase per million) files derived from the ccRCC, pRCC and chRCC cohorts of the TCGA database, representing transcriptomic data of 891 patients. Using principal component analysis, we visualized datasets as t-SNE plot for cluster detection. Clusters were characterized by machine learning, resulting gene signatures were validated by correlation analyses in the TCGA dataset and three external datasets (ICGC RECA-EU, CPTAC-3-Kidney, and GSE157256).Results: Many RCC samples co-clustered according to histopathology. However, a substantial number of samples clustered independently from histopathologic origin (mixed subgroup)—demonstrating divergence between histopathology and transcriptomic data. Further analyses of mixed subgroup via machine learning revealed a predominant mitochondrial gene signature—a trait previously known for chRCC—across all histopathologic subgroups. Additionally, ccRCC samples from mixed subgroup presented an inverse correlation of mitochondrial and angiogenesis-related genes in the TCGA and in three external validation cohorts. Moreover, mixed subgroup affiliation was associated with a highly significant shorter overall survival for patients with ccRCC—and a highly significant longer overall survival for chRCC patients.Conclusions: Pan-RCC clustering according to RNA-sequencing data revealed a distinct histology-independent subgroup characterized by strengthened mitochondrial and weakened angiogenesis-related gene signatures. Moreover, affiliation to mixed subgroup went along with a significantly shorter overall survival for ccRCC and a longer overall survival for chRCC patients. Further research could offer a therapy stratification by specifically addressing the mitochondrial metabolism of such tumors and its microenvironment.

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Background: Timely assessment of COVID-19 severity is crucial for the rapid provision of appropriate treatments. Definitive criteria for the early identification of severe COVID-19 cases that require intensive care unit admission are lacking.Methods: This was a single-center, retrospective case-control study of 95 consecutive adults admitted to the intensive care unit (cases) or a medical ward (controls) for laboratory-confirmed COVID-19. Clinical data were collected and changes in laboratory test results were calculated between presentation at the emergency department and admission. Univariate and multivariable logistic regression was performed to calculate odds ratios for intensive care unit admission according to changes in laboratory variables.Results: Of the 95 adults with COVID-19, 25 were admitted to intensive care and 70 to a medical ward after a median 6 h stay in the emergency department. During this interval, neutrophil counts increased in cases and decreased in controls (median, 934 vs. −295 × 106/L; P = 0.006), while lymphocyte counts decreased in cases and increased in controls (median, −184 vs. 109 × 106/L; P < 0.001). In cases, the neutrophil-to-lymphocyte ratio increased 6-fold and the urea-to-creatinine ratio increased 20-fold during the emergency department stay, but these ratios did not change in controls (P < 0.001 for both comparisons). By multivariable logistic regression, short-term increases in the neutrophil-to-lymphocyte ratio (OR = 1.43; 95% CI, 1.16–1.76) and urea-to-creatinine ratio (OR = 1.72; 95% CI, 1.20–2.66) were independent predictors of intensive care unit admission.Conclusion: Short-time changes in neutrophil-to-lymphocyte ratio and urea-to-creatinine ratio emerged as stand-alone parameters able to identify patients with aggressive disease at an early stage.

Although decision making strategy based on clinico-histopathological criteria is well established, renal cell carcinoma (RCC) represents a spectrum of biological ecosystems characterized by distinct genetic and molecular alterations, diverse clinical courses and potential specific therapeutic vulnerabilities. Given the plethora of drugs available, the subtype-tailored treatment to RCC subtype holds the potential to improve patient outcome, shrinking treatment-related morbidity and cost. The emerging knowledge of the molecular taxonomy of RCC is evolving, whilst the antiangiogenic and immunotherapy landscape maintained and reinforced their potential. Although several prognostic factors of survival in patients with RCC have been described, no reliable predictive biomarkers of treatment individual sensitivity or resistance have been identified. In this review, we summarize the available evidence able to prompt more precise and individualized patient selection in well-designed clinical trials, covering the unmet need of medical choices in the era of next-generation anti-angiogenesis and immunotherapy.

Cell adhesion in the multiple myeloma (MM) microenvironment is a mechanism by which MM plasma cells escape the effects of therapy and survive. To improve clinical strategies and overcome drug resistance, approaches directed to both MMPCs and bone marrow microenvironment are under investigation. Here, we examined the cell membrane protein Junctional adhesion molecule-A (JAM-A) as a clinical biomarker and novel therapeutic target for MM. We evaluated JAM-A expression by real time PCR (RT-PCR), flow cytometry and immunofluorescence microscopy in 132 MM patients at different stages and various MM cell lines. Next, we measured the concentrations of soluble JAM-A from MM and healthy subjects sera by enzyme linked immune assay (ELISA). We investigated JAM-A functionally in vitro and in vivo by transient gene silencing (siRNA) and with blocking antibodies. Patient-derived plasma cells (MMPCs) expressed increased JAM-A expression levels when compared to control PC from healthy individuals. Elevated JAM-A expression correlated with poor prognosis (Figure 1A,B). Furthermore, soluble JAM-A was significantly increased in MM patient sera when compared to healthy subjects. Additionally, MM cell lines showed high expression of both membrane and cytoplasmic JAM-A. Consequently, inhibition of JAM-A using specific siRNA treatment resulted in diminished tumorigenic potential, including decreased colony formation, chemotaxis and migration. Importantly, treatment of luciferase+RPMI-8226 MM bearing NSG with a JAM-A blocking monoclonal antibody reduced significantly MM progression and dissemination in vivo when compared to MM bearing mice that received an non-specific isotype control antibody (Figure 1C). Conclusively, our data suggest that JAM-A can serve as a biomarker of malignancy in MM patients. Soluble plasma JAM-A could contribute to serum-based clinical stratification. Furthermore, therapeutic targeting of JAM-A appears attractive for clinical translation. Figure 1 Figure 1. Disclosures Einsele: Celgene: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria.

Multiple myeloma (MM) plasma cell (MMPC) interactions with the microenvironment control MMPC growth, survival, drug-resistance and intra- and extramedullary dissemination. Dissemination of MMPCs through bone marrow niches and in extra-medullary sites is an active process of invasion involving bone marrow endothelial cells, multiple adhesion molecules and chemokine receptors. Since enhanced angiogenesis characterizes MM, we investigated whether junctional adhesion molecule-A (JAM-A) mediated interactions between MM bone marrow endothelial cells (MMECs) and MMPCs impact disease progression. To this end, we analyzed JAM-A expression levels in MMECs of 312 MM patients in two independent cohorts with flow cytometry, namely 111 newly diagnosed (NDMM) and 201 relapsed/refractory (RRMM) and compared them to 36 monoclonal gammopathy of undetermined significance (MGUS) and healthy subjects. To corroborate our data and investigate at a gene-expression level the prognostic value of deregulated genes (FDR<0.1 & P<0.05) we used a Cox-regression model in the CoMMpass dataset (n=326, IA13 release). The role of JAM-A was evaluated by shRNA knockdown and an anti-JAM-A blocking monoclonal antibody. Subsequently, we functionally validated the JAM-A downstream pathways related to cytoskeleton rearrangement, cell proliferation, epithelial mesenchymal transition, invasion and MM dissemination in vitro and in vivo. Surface protein expression of JAM-A on MMECs predicted poor overall survival (OS) in NDMM (not reached (NR) vs. 78 months univariate hazards ratio-HR=9.14, 95% CI 2.8-29.76, P<0.0001) and RRMM patients (NR vs. 130 months, HR=2.96, 95% CI 1.37-6.37, P=0.006) with significant impact also in the progression free survival (PFS) in the advanced stage cohort (8.3 vs. 27 months, HR=1.41, 95% CI 1.05-1.88; P=0.019). A sub-analysis on our cohort with extramedullary disease (EMD) MM revealed that the median OS decreased significantly in patients with JAM-Ahighvs. those with JAM-Alow MMEC expression: 84.1 months vs. not reached, irrespective from the EMD status (log-rank=4.19, P=0.04). Strikingly, among NDMM, these results maintained their significance also in the multivariate analysis (HR=9.11, 95% CI 2.79-29.76, P<0.001); within the RRMM cohort the multivariate analyses confirmed JAM-Ahigh MMECs as a statistically significant independent risk factor for short OS (HR=2.39, 95% CI 1.09-5.28, P=0.03) in much the same way were the Revised international staging system (R-ISS) stages such as stage II (HR=5.34, 95% CI 1.24-22.97, P=0.024), stage III (HR=6.57, 95% CI 1.25-34.54, P=0.026) and chronic kidney disease (HR=2.21, 95% CI 1.06-4.62, P=0.034). Cox stratified model implemented for PFS confirmed only JAM-Ahigh MMECs as a statistically significant risk factor (HR=1.35, 95% CI 1.00-1.81, P=0.044) stratified by chronic kidney disease. Notably, also transcriptional upregulation of JAM-A (RNA-Seq data, CoMMpass) corroborated the prognostic impact (log-rank=13, P=0.0003) and revealed a unique gene-expression signature of activated epithelial-mesenchymal-transition, mTOR/PI3K and focal adhesion pathways in high-risk MM patients with EMD and JAM-Ahigh. Ensuing functional shRNA knockdown of JAM-A reduced MM invasion (P<0.002), angiogenesis (P<0.0001), cell dissemination and migration (P<0.002), cell survival (P<0.001) and expression of cellular-adhesion system molecules such as integrin-beta-1, fibronectin, RAC1 and RHOA (P<0.001). Notably, adding recombinant JAM-A to MMECs enhanced angiogenesis while this was impaired by blocking JAM-A with a specific monoclonal antibody in functional 2D and 3D chorioallantoic membrane-assay and two in vivo MM mouse models. Conclusively, in vivo experiments corroborated our findings that JAM-A blocking halted angiogenesis and reduced MM progression. Collectively, our findings pinpoint JAM-A as a key player propagating a vicious cycle of MMECs and MMPCs interaction; the expression of JAM-A and the related adhesion pathways can prognostically stratify patients in the late disease stages impacting two main MM progression processes: angiogenesis and extra-medullary dissemination. Therefore, we propose JAM-A as a promising MM biomarker and novel therapeutic target in advanced disease. Disclosures Klapper: Roche, Takeda, Amgen, Regeneron: Honoraria, Research Funding. Rosenwald:MorphoSys: Consultancy. Cavo:celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel accommodations, Speakers Bureau; janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel accommodations, Speakers Bureau; bms: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; novartis: Honoraria; takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees.

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Skeletal metastases of unknown primary (SMUP) represent a clinical challenge dealing with patients diagnosed with bone metastases. The management have improved significantly in the past years, however fraught with lack of evidences, approach to these patients held out hope for more systematic and tailored treatment—and some patients can achieve impressive gains. Nevertheless, in real-life practice the outlook at the beginning of the take in charge of SMUP is decidedly more somber. An incomplete translational relevance of pathological and clinical data on the mortality and morbidity rate has had unsatisfactory consequences for SMUP patients and their physicians. We examined several approaches to confront the available evidences and highlighted three key points that emerge. The characterization of the SMUP biologic profile is essential to drive clinical decisions, integrating genetic and molecular profile into a multi-step diagnostic work-up. Nonetheless, pragmatic investigation plan and therapy of SMUP cannot follow a single template; it must be adapted to different pathophysiological dynamics and coordinated with efforts of a systematic algorithm and high-quality data derived from statistically powered clinical trials within. This review argues that greater efforts are required to face the unmet need dealing with SMUP patients in oncology. Finally, we provide an original functional network analysis, identifying novel therapeutic targets.