Why Firms Outsource Their Human Resources Activities: An Empirical Analysis

In this paper, we develop and estimate an explanatory model of Human Resources Outsourcing. Six HR activities are analyzed: Payroll, Benefits, Recruiting, Training, Labor Relations, and Human Resources Information Systems. The determinants of outsourcing are drawn from two fields: the field of organizational analysis and strategy formulation, and that from transaction-cost theory. Our results indicate that the drivers of HRO are rather specific to each type of activity. The transaction-cost determinants appear to play a particularly important role in the HRO decisions. In particular, the prior experience of the organization with outsourcing of other functions, the uncertainty of the transaction, and the presence of a union have a commanding influence. Ce mémoire développe et estime un modèle causal de l'impartition des ressources humaines. Six grandes activités ressources humaines sont analysées: la paie, les avantages sociaux, la dotation, la formation, les relations de travail et les systèmes d'information de ressources humaines. Les déterminants de l'impartition proviennent de deux littératures scientifiques : celle de la théorie des organisations et de la formulation de la stratégie d'une part, et celle de la théorie économique des coûts de transaction d'autre part. Nos résultats montrent que les déterminants de l'impartition varient d'activité à activité. Les déterminants suggérés par l'approche des coûts de transaction semblent jouer un rôle particulièrement important. L'expérience qu'ont les organisations avec l'impatition de d'autres fonctions, l'incertitude de la transaction et la présence d'un syndicat ont une influence prépondérante sur la décision d'impartir les activités ressources humaines.Outsourcing, human resources management, Impartition, gestion des ressources humaines

Why Firms Outsource Their Human Resources Activities: An Empirical Analysis

Ce mémoire développe et estime un modèle causal de l'impartition des ressources humaines. Six grandes activités ressources humaines sont analysées: la paie, les avantages sociaux, la dotation, la formation, les relations de travail et les systèmes d'information de ressources humaines. Les déterminants de l'impartition proviennent de deux littératures scientifiques : celle de la théorie des organisations et de la formulation de la stratégie d'une part, et celle de la théorie économique des coûts de transaction d'autre part. Nos résultats montrent que les déterminants de l'impartition varient d'activité à activité. Les déterminants suggérés par l'approche des coûts de transaction semblent jouer un rôle particulièrement important. L'expérience qu'ont les organisations avec l'impatition de d'autres fonctions, l'incertitude de la transaction et la présence d'un syndicat ont une influence prépondérante sur la décision d'impartir les activités ressources humaines.In this paper, we develop and estimate an explanatory model of Human Resources Outsourcing. Six HR activities are analyzed: Payroll, Benefits, Recruiting, Training, Labor Relations, and Human Resources Information Systems. The determinants of outsourcing are drawn from two fields: the field of organizational analysis and strategy formulation, and that from transaction-cost theory. Our results indicate that the drivers of HRO are rather specific to each type of activity. The transaction-cost determinants appear to play a particularly important role in the HRO decisions. In particular, the prior experience of the organization with outsourcing of other functions, the uncertainty of the transaction, and the presence of a union have a commanding influence

The TAL1 complex targets the FBXW7 tumor suppressor by activating miR-223 in human T cell acute lymphoblastic leukemia

The oncogenic transcription factor TAL1/SCL is aberrantly expressed in 60% of cases of human T cell acute lymphoblastic leukemia (T-ALL) and initiates T-ALL in mouse models. By performing global microRNA (miRNA) expression profiling after depletion of TAL1, together with genome-wide analysis of TAL1 occupancy by chromatin immunoprecipitation coupled to massively parallel DNA sequencing, we identified the miRNA genes directly controlled by TAL1 and its regulatory partners HEB, E2A, LMO1/2, GATA3, and RUNX1. The most dynamically regulated miRNA was miR-223, which is bound at its promoter and up-regulated by the TAL1 complex. miR-223 expression mirrors TAL1 levels during thymic development, with high expression in early thymocytes and marked down-regulation after the double-negative-2 stage of maturation. We demonstrate that aberrant miR-223 up-regulation by TAL1 is important for optimal growth of TAL1-positive T-ALL cells and that sustained expression of miR-223 partially rescues T-ALL cells after TAL1 knockdown. Overexpression of miR-223 also leads to marked down-regulation of FBXW7 protein expression, whereas knockdown of TAL1 leads to up-regulation of FBXW7 protein levels, with a marked reduction of its substrates MYC, MYB, NOTCH1, and CYCLIN E. We conclude that TAL1-mediated up-regulation of miR-223 promotes the malignant phenotype in T-ALL through repression of the FBXW7 tumor suppressor.National Cancer Institute (U.S.) (5P01CA109901)National Cancer Institute (U.S.) (5P01CA68484)National Cancer Institute (U.S.) (1K99CA157951)National Institutes of Health (U.S.). Intramural Research ProgramCenter for Cancer Research (National Cancer Institute (U.S.)

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

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

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