Online victimization, womanism, and body esteem among young Black women.: A structural equation modeling approach

Digital media use represents a central part of young adults’ daily life, within which social interactions increasingly center on visual content. While visual content, such as representations of self, may facilitate positive social interactivity, it may also increase susceptibility to harmful social interactions, such as appearance-related online victimization. Black women’s bodies are often the target of gendered racial microaggressions and sexual victimization which can contribute to body image concerns. Still, the online victimization–body esteem link among Black women remains unexamined. This study used structural equation modeling to examine the associations between four categories of online victimization (i.e., general online victimization, online individual racial victimization, online vicarious racial victimization, online sexual victimization) and body esteem. We further examined whether womanism, an identity-based factor, moderated the relationship between online victimization and body esteem. A sample of 1,595 young Black women completed an online survey. Results showed that online sexual victimization was significantly negatively associated with body esteem and that high levels of womanism buffered the harmful impact of general online victimization on body esteem. Future research is needed to examine Black women’s and gender expansive people’s experiences with online gendered racial victimization along with other forms of online intersectional oppressio

Black women’s experiences of gendered racial sexual objectification, body image, and depressive symptoms

Black women navigate unique sexual objectification experiences and concerns about their bodies as a consequence of the race- and gender-based marginalization that they face. However, less is known about the influence of gendered racial sexual objectification experiences on Black women’s mental health (i.e., depressive symptoms) or the contributions of key body image indicators (i.e., body surveillance and current-ideal body image discrepancy) that reflect Black women’s engagement in monitoring and managing their bodies. We surveyed 1595 Black women to test our hypotheses that experiences of gendered racial sexual objectification (i.e., frequency and stress appraisal) would be positively associated with depressive symptoms and that body surveillance and current-ideal body image discrepancy would moderate this association. Analyses showed that more frequent experiences of gendered racial sexual objectification and higher stress appraisal of these experiences were significantly associated with more depressive symptoms. Furthermore, body surveillance and current-ideal body image discrepancy moderated the relation between gendered racial sexual objectification and depressive symptoms. Findings highlight how Black women’s objectification and increased engagement in body monitoring and management practices are associated with their experiences of depressive symptoms, and thus, may negatively influence their mental health

Gendered racial microaggressions scale: Measurement invariance across sexual orientation

Gendered racial microaggressions are often assessed using the Gendered Racial Microaggressions Scale. Despite its use with mixed samples of heterosexual and sexual minority Black women, this instrument has yet to be evaluated for its measurement invariance across sexual orientation. This study evaluated the measurement invariance of the Gendered Racial Microaggressions Scale across sexual orientation (heterosexual [n=1,147] versus lesbian, gay, or bisexual [LGB], n=359) in a sample of 1,506 Black cisgender women ages 18–30 years old. The Gendered Racial Microaggressions Scale’s four-factor structure, including Beauty and Sexual Objectification, Silenced and Marginalized, Strong Black Woman, and Angry Black Woman, was replicated with our sample. Results from the multigroup confirmatory factor analysis indicated the Gendered Racial Microaggressions Scale had configural, metric, and scalar invariance across sexual orientation groups. Strict invariance was not established. Multi-group comparison of latent factor mean scores revealed Black LGB women as having higher Beauty and Sexual Objectification scores than Black heterosexual women on the Gendered Racial Microaggressions stress appraisal scale. The Gendered Racial Microaggressions Scale can be recommended in meaningfully assessing differences in latent factor mean scores among Black heterosexual and LGB women. Practitioners, researchers, and policy makers should seek to address the role of intersectional microaggressions in the lived experiences of sexual and gender minorities of color, including as it relates to systemic disadvantage and health, mental health, and social disparitie

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants.

This is the author accepted manuscript. The final version is available from Nature Publishing Group via http://dx.doi.org/10.1038/ng.3448Advanced age-related macular degeneration (AMD) is the leading cause of blindness in the elderly, with limited therapeutic options. Here we report on a study of >12 million variants, including 163,714 directly genotyped, mostly rare, protein-altering variants. Analyzing 16,144 patients and 17,832 controls, we identify 52 independently associated common and rare variants (P < 5 × 10(-8)) distributed across 34 loci. Although wet and dry AMD subtypes exhibit predominantly shared genetics, we identify the first genetic association signal specific to wet AMD, near MMP9 (difference P value = 4.1 × 10(-10)). Very rare coding variants (frequency <0.1%) in CFH, CFI and TIMP3 suggest causal roles for these genes, as does a splice variant in SLC16A8. Our results support the hypothesis that rare coding variants can pinpoint causal genes within known genetic loci and illustrate that applying the approach systematically to detect new loci requires extremely large sample sizes.We thank all participants of all the studies included for enabling this research by their participation in these studies. Computer resources for this project have been provided by the high-performance computing centers of the University of Michigan and the University of Regensburg. Group-specific acknowledgments can be found in the Supplementary Note. The Center for Inherited Diseases Research (CIDR) Program contract number is HHSN268201200008I. This and the main consortium work were predominantly funded by 1X01HG006934-01 to G.R.A. and R01 EY022310 to J.L.H

Integrated Genomic Analysis of the Ubiquitin Pathway across Cancer Types

Protein ubiquitination is a dynamic and reversibleprocess of adding single ubiquitin molecules orvarious ubiquitin chains to target proteins. Here,using multidimensional omic data of 9,125 tumorsamples across 33 cancer types from The CancerGenome Atlas, we perform comprehensive molecu-lar characterization of 929 ubiquitin-related genesand 95 deubiquitinase genes. Among them, we sys-tematically identify top somatic driver candidates,including mutatedFBXW7with cancer-type-specificpatterns and amplifiedMDM2showing a mutuallyexclusive pattern withBRAFmutations. Ubiquitinpathway genes tend to be upregulated in cancermediated by diverse mechanisms. By integratingpan-cancer multiomic data, we identify a group oftumor samples that exhibit worse prognosis. Thesesamples are consistently associated with the upre-gulation of cell-cycle and DNA repair pathways, char-acterized by mutatedTP53,MYC/TERTamplifica-tion, andAPC/PTENdeletion. Our analysishighlights the importance of the ubiquitin pathwayin cancer development and lays a foundation fordeveloping relevant therapeutic strategies