Shulian Shang

MiR-30b/30d regulation of GalNAc transferases enhances invasion and immunosuppression during metastasis

To metastasize, a tumor cell must acquire abilities such as the capacity to colonize new tissue and evade immune surveillance. Recent evidence suggests that microRNAs can promote the evolution of malignant behaviors by regulating multiple targets. We performed a microRNA analysis of human melanoma, a highly invasive cancer, and found that miR-30b/30d upregulation correlates with stage, metastatic potential, shorter time to recurrence, and reduced overall survival. Ectopic expression of miR-30b/30d promoted the metastatic behavior of melanoma cells by directly targeting the GalNAc transferase GALNT7, resulted in increased synthesis of the immunosuppressive cytokine IL-10, and reduced immune cell activation and recruitment. These data support a key role of miR-30b/30d and GalNAc transferases in metastasis, by simultaneously promoting cellular invasion and immunosuppression.

Serum microRNAs as biomarkers for recurrence in melanoma

BackgroundIdentification of melanoma patients at high risk for recurrence and monitoring for recurrence are critical for informed management decisions. We hypothesized that serum microRNAs (miRNAs) could provide prognostic information at the time of diagnosis unaccounted for by the current staging system and could be useful in detecting recurrence after resection.MethodsWe screened 355 miRNAs in sera from 80 melanoma patients at primary diagnosis (discovery cohort) using a unique quantitative reverse transcription-PCR (qRT-PCR) panel. Cox proportional hazard models and Kaplan-Meier recurrence-free survival (RFS) curves were used to identify a miRNA signature with prognostic potential adjusting for stage. We then tested the miRNA signature in an independent cohort of 50 primary melanoma patients (validation cohort). Logistic regression analysis was performed to determine if the miRNA signature can determine risk of recurrence in both cohorts. Selected miRNAs were measured longitudinally in subsets of patients pre-/post-operatively and pre-/post-recurrence.ResultsA signature of 5 miRNAs successfully classified melanoma patients into high and low recurrence risk groups with significant separation of RFS in both discovery and validation cohorts (p = 0.0036, p = 0.0093, respectively). Significant separation of RFS was maintained when a logistic model containing the same signature set was used to predict recurrence risk in both discovery and validation cohorts (p < 0.0001, p = 0.033, respectively). Longitudinal expression of 4 miRNAs in a subset of patients was dynamic, suggesting miRNAs can be associated with tumor burden.ConclusionOur data demonstrate that serum miRNAs can improve accuracy in identifying primary melanoma patients with high recurrence risk and in monitoring melanoma tumor burden over time.

The novel gamma secretase inhibitor RO4929097 reduces the tumor initiating potential of melanoma.

Several reports have demonstrated a role for aberrant NOTCH signaling in melanoma genesis and progression, prompting us to explore if targeting this pathway is a valid therapeutic approach against melanoma. We targeted NOTCH signaling using RO4929097, a novel inhibitor of gamma secretase, which is a key component of the enzymatic complex that cleaves and activates NOTCH. The effects of RO4929097 on the oncogenic and stem cell properties of a panel of melanoma cell lines were tested both in vitro and in vivo, using xenograft models. In human primary melanoma cell lines, RO4929097 decreased the levels of NOTCH transcriptional target HES1. This was accompanied by reduced proliferation and impaired ability to form colonies in soft agar and to organize in tridimensional spheres. Moreover, RO4929097 affected the growth of human primary melanoma xenograft in NOD/SCID/IL2gammaR-/- mice and inhibited subsequent tumor formation in a serial xenotransplantation model, suggesting that inhibition of NOTCH signaling suppresses the tumor initiating potential of melanoma cells. In addition, RO4929097 decreased tumor volume and blocked the invasive growth pattern of metastatic melanoma cell lines in vivo. Finally, increased gene expression of NOTCH signaling components correlated with shorter post recurrence survival in metastatic melanoma cases. Our data support NOTCH inhibition as a promising therapeutic strategy against melanoma.

Application of the Asthma Phenotype Algorithm from the Severe Asthma Research Program to an Urban Population

Rationale Identification and characterization of asthma phenotypes are challenging due to disease complexity and heterogeneity. The Severe Asthma Research Program (SARP) used unsupervised cluster analysis to define 5 phenotypically distinct asthma clusters that they replicated using 3 variables in a simplified algorithm. We evaluated whether this simplified SARP algorithm could be used in a separate and diverse urban asthma population to recreate these 5 phenotypic clusters. Methods The SARP simplified algorithm was applied to adults with asthma recruited to the New York University/Bellevue Asthma Registry (NYUBAR) to classify patients into five groups. The clinical phenotypes were summarized and compared. Results Asthma subjects in NYUBAR (n = 471) were predominantly women (70%) and Hispanic (57%), which were demographically different from the SARP population. The clinical phenotypes of the five groups generated by the simplified SARP algorithm were distinct across groups and distributed similarly to those described for the SARP population. Groups 1 and 2 (6 and 63%, respectively) had predominantly childhood onset atopic asthma. Groups 4 and 5 (20%) were older, with the longest duration of asthma, increased symptoms and exacerbations. Group 4 subjects were the most atopic and had the highest peripheral eosinophils. Group 3 (10%) had the least atopy, but included older obese women with adult-onset asthma, and increased exacerbations. Conclusions Application of the simplified SARP algorithm to the NYUBAR yielded groups that were phenotypically distinct and useful to characterize disease heterogeneity. Differences across NYUBAR groups support phenotypic variation and support the use of the simplified SARP algorithm for classification of asthma phenotypes in future prospective studies to investigate treatment and outcome differences between these distinct groups. Trial Registration Clinicaltrials.gov NCT00212537

A miRNA-Based Signature Detected in Primary Melanoma Tissue Predicts Development of Brain Metastasis

Purpose: Brain metastasis is the major cause of mortality among patients with melanoma. A molecular prognostic test that can reliably stratify patients at initial melanoma diagnosis by risk of developing brain metastasis may inform the clinical management of these patients. Experimental Design: We performed a retrospective, cohort-based study analyzing genome-wide and targeted microRNA expression profiling of primary melanoma tumors of three patient cohorts (n = 92, 119, and 45) with extensive clinical follow-up. We used Cox regression analysis to establish a microRNA-based signature that improves the ability of the current clinicopathologic staging system to predict the development of brain metastasis. Results: Our analyses identified a 4-microRNA (miR-150-5p, miR-15b-5p, miR-16-5p, and miR-374b-3p) prognostic signature that, in combination with stage, distinguished primary melanomas that metastasized to the brain from nonrecurrent and non–brain metastatic primary tumors (training cohort: C-index = 81.4%, validation cohort: C-index = 67.4%, independent cohort: C-index = 76.9%). Corresponding Kaplan–Meier curves of high- versus low-risk patients displayed a clear separation in brain metastasis-free and overall survival (training: P < 0.001; P < 0.001, validation: P = 0.033; P = 0.007, independent: P = 0.021; P = 0.022, respectively). Finally, of the microRNA in the prognostic model, we found that the expression of a key lymphocyte miRNA, miR-150-5p, which is less abundant in primary melanomas metastatic to brain, correlated with presence of CD45+ tumor-infiltrating lymphocytes. Conclusions: A prognostic assay based on the described miRNA expression signature combined with the currently used staging criteria may improve accuracy of primary melanoma patient prognoses and aid clinical management of patients, including selection for adjuvant treatment or clinical trials of adjuvant therapies. Clin Cancer Res; 21(21); 4903–12. ©2015 AACR.

Melanoma risk loci as determinants of melanoma recurrence and survival

BackgroundSteadily high melanoma mortality rates urge for the availability of novel biomarkers with a more personalized ability to predict melanoma clinical outcomes. Germline risk variants are promising candidates for this purpose; however, their prognostic potential in melanoma has never been systematically tested.MethodsWe examined the effect of 108 melanoma susceptibility single nucleotide polymorphisms (SNPs), associated in recent GWAS with melanoma and melanoma-related phenotypes, on recurrence-free survival (RFS) and overall survival (OS), in 891 prospectively accrued melanoma patients. Cox proportional hazards models (Cox PH) were used to test the associations between 108 melanoma risk SNPs and RFS and OS adjusted by age at diagnosis, gender, tumor stage, histological subtype and other primary tumor characteristics.ResultsWe identified significant associations for rs7538876 (RCC2) with RFS (HR = 1.48, 95% CI = 1.20-1.83, p = 0.0005) and rs9960018 (DLGAP1) with both RFS and OS (HR = 1.43, 95% CI = 1.07-1.91, p = 0.01, HR = 1.52, 95% CI = 1.09-2.12, p = 0.01, respectively) using multivariable Cox PH models. In addition, we developed a logistic regression model that incorporates rs7538876, rs9960018, primary tumor histological type and stage at diagnosis that has an improved discriminatory ability to classify 3-year recurrence (AUC = 82%) compared to histological type and stage alone (AUC = 78%).ConclusionsWe identified associations between melanoma risk variants and melanoma outcomes. The significant associations observed for rs7538876 and rs9960018 suggest a biological implication of these loci in melanoma progression. The observed predictive patterns of associated variants with clinical end-points suggest for the first time the potential for utilization of genetic risk markers in melanoma prognostication.

Abstract LB-340: Early alterations of microRNA expression predict and functionally impact melanoma metastasis

Proceedings: AACR 102nd Annual Meeting 2011‐‐ Apr 2‐6, 2011; Orlando, FL Introduction Early-stage, localized melanoma is well treatable by surgical resection yielding 5-year survival rates of 98%. Patients with advanced melanoma, however, have progressively worse 5-year survival rates of 62% and 16% in those with regional lymph node involvement and distal metastasis, respectively. Understanding molecular events that occur early in melanoma development may inform clinical decision-making and uncover novel therapeutic targets. Experimental Procedures We analyzed microRNA (miR) expression levels by Exiqon LNA arrays of RNA isolated from formalin-fixed paraffin embedded primary melanomas (n=92). We compared miR expression levels between primary tumors that did and did not metastasize (2.5-year minimum follow-up) to derive a predictive signature. Further, we used this analysis and a comparison between thick (>2mM) and thin (<2mM) lesions to identify candidate miRs most closely associated with a metastatic phenotype. We selected 40 candidate miRs from these analyses based on strength of significance and expression level for screening in a fluorescence-based in vitro invasion assay to test their functional relevance in a characteristic metastasis assay. Active candidates were further characterized in invasion assays across a larger panel of melanoma cell lines as well as by proliferation assays to distinguish between proliferative and invasive effects. Results The expression of 26 miRs was significantly altered (t-tests, FDR<.01) in primary tumors that metastasized vs. those that did not. We built a logistic regression model using these 26 miRs to test their ability to classify tumors (metastatic vs. non-metastatic), and selected 6 significant miRs (p-values<0.04) as a signature that has robust predictive power with an AUC of 93% of the ROC curve. We are currently validating our results in a second, large cohort of primary melanomas (n=114). Further analysis revealed that 197 miRs were significantly (p<.01) altered in thick v. thin lesions. Moreover, of the 40 candidates selected from these analyses for invasion assay screening, we identified 5 miRs (miR-215, miR-374b*, miR-382, miR-516b, and miR-7) that robustly inhibit in vitro invasion in a panel of 5 melanoma cell lines, supporting the functional relevance of the miR profiling. Of those, miR-215, miR-382, and miR-516b over-expression yields cell-type specific growth inhibition, while miR-7 and miR-374b* impact invasion only. miR target identification is ongoing. Conclusions MicroRNA expression alterations occur at early stages of melanoma development. This study furthers our understanding of the molecular defects that occur during melanomagenesis and how they may impact the progression from a treatable primary tumor to an invasive and ultimately metastatic disease. These results suggest that miRNA expression changes may be predictive of melanoma metastasis and/or functionally impact melanoma progression. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr LB-340. doi:10.1158/1538-7445.AM2011-LB-340