Battlefields of Negotiation

The massively multiplayer online role-playing game World of Warcraft has become one of the most popular computer games of the past decade, introducing millions around the world to community-based play. Within the boundaries set by its design, the game encourages players to appropriate and shape the game to their own wishes, resulting in highly diverse forms of play and participation. This illuminating study frames World of Warcraft as a complex socio-cultural phenomenon defined by and evolving as a result of the negotiations between groups of players as well as the game’s owners, throwing new light on complex consumer-producer relationships in the increasingly participatory but still tightly controlled media of online games

Literacy at play:an analysis of media literacy games used to foster media literacy competencies

Media literacy is considered one of the key competencies to acquire in the 21st century. With games being recognized as having a large potential to train and educate, a wide range of games focusing on media literacy related topics such as fake news games, digital privacy, personal media habits, and practical media skills have sprung up over the years. All claim to foster media literacy skills and competencies. This begs the question how these games generally frame and understand media literacy, what competencies and skills they actually focus on, and through which game design choices. This paper thus asks: how media literacy games are designed to foster media literacy? Taking the Dutch Media Literacy Competencies Model as a departure point, we answer this question using a thematic analysis of 100 media literacy games and formal analysis of a smaller heterogeneous sample consisting of 12 games. We present a series of key findings involving the prominent presence of certain topics and competencies in the dataset, as well as prevalent design choices, allowing for a discussion of the current landscape of literacy games and underlying competencies and future potential for development.</p

Digital literacy games: A systematic literature review

This paper presents the results of a systematic literature review of academic publications about digital literacy games. We have analyzed a total of 30 papers and book chapters published in English, Spanish, Portuguese and Dutch between 2005 and 2021 and stored in Scopus. The results of this literature review report on: (1) the topics of the games discussed in the publications; (2) the digital literacy competencies supported by the games studied in the publications; (3) the effects of these games; and (4) ten game design considerations for digital literacy games collected from the results of the publications. This paper also provides detailed access to the original sources by reporting on which paper addressed what

Literacy at play: An analysis of media literacy games used to foster media literacy competencies

Media literacy is considered one of the key competencies to acquire in the 21st century. With games being recognized as having a large potential to train and educate, a wide range of games focusing on media literacy related topics such as fake news games, digital privacy, personal media habits, and practical media skills have sprung up over the years. All claim to foster media literacy skills and competencies. This begs the question how these games generally frame and understand media literacy, what competencies and skills they actually focus on, and through which game design choices. This paper thus asks: how media literacy games are designed to foster media literacy? Taking the Dutch Media Literacy Competencies Model as a departure point, we answer this question using a thematic analysis of 100 media literacy games and formal analysis of a smaller heterogeneous sample consisting of 12 games. We present a series of key findings involving the prominent presence of certain topics and competencies in the dataset, as well as prevalent design choices, allowing for a discussion of the current landscape of literacy games and underlying competencies and future potential for development

Converting a breast cancer microarray signature into a high-throughput diagnostic test

BACKGROUND: A 70-gene tumor expression profile was established as a powerful predictor of disease outcome in young breast cancer patients. This profile, however, was generated on microarrays containing 25,000 60-mer oligonucleotides that are not designed for processing of many samples on a routine basis. RESULTS: To facilitate its use in a diagnostic setting, the 70-gene prognosis profile was translated into a customized microarray (MammaPrint) containing a reduced set of 1,900 probes suitable for high throughput processing. RNA of 162 patient samples from two previous studies was subjected to hybridization to this custom array to validate the prognostic value. Classification results obtained from the original analysis were then compared to those generated using the algorithms based on the custom microarray and showed an extremely high correlation of prognosis prediction between the original data and those generated using the custom mini-array (p < 0.0001). CONCLUSION: In this report we demonstrate for the first time that microarray technology can be used as a reliable diagnostic tool. The data clearly demonstrate the reproducibility and robustness of the small custom-made microarray. The array is therefore an excellent tool to predict outcome of disease in breast cancer patients

Investigating the Concordance in molecular subtypes of primary colorectal tumors and their matched synchronous liver metastasis

To date, no systematic analyses are available assessing concordance of molecular classifications between primary tumors (PT) and matched liver metastases (LM) of metastatic colorectal cancer (mCRC). We investigated concordance between PT and LM for four clinically relevant CRC gene signatures. Twenty-seven fresh and 55 formalin-fixed paraffin-embedded pairs of PT and synchronous LM of untreated mCRC patients were retrospectively collected and classified according to the MSI-like, BRAF-like, TGFB activated-like and the Consensus Molecular Subtypes (CMS) classification. We investigated classification concordance between PT and LM and association of TGFBa-like and CMS classification with overall survival. Fifty-one successfully profiled matched pairs were used for analyses. PT and matched LM were highly concordant in terms of BRAF-like and MSI-like signatures, (90.2% and 98% concordance, respectively). In contrast, 40% to 70% of PT that were classified as mesenchymal-like, based on the CMS and the TGFBa-like signature, respectively, lost this phenotype in their matched LM (60.8% and 76.5% concordance, respectively). This molecular switch was independent of the microenvironment composition. In addition, the significant change in subtypes was observed also by using methods developed to detect cancer cell-intrinsic subtypes. More importantly, the molecular switch did not influence the survival. PT classified as mesenchymal had worse survival as compared to nonmesenchymal PT (CMS4 vs CMS2, hazard ratio [HR] = 5.2, 95% CI = 1.5-18.5, P = .0048; TGFBa-like vs TGFBi-like, HR = 2.5, 95% CI = 1.1-5.6, P = .028). The same was not true for LM. Our study highlights that the origin of the tissue may have major consequences for precision medicine in mCRC

70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer.

The 70-gene signature test (MammaPrint) has been shown to improve prediction of clinical outcome in women with early-stage breast cancer. We sought to provide prospective evidence of the clinical utility of the addition of the 70-gene signature to standard clinical-pathological criteria in selecting patients for adjuvant chemotherapy. In this randomized, phase 3 study, we enrolled 6693 women with early-stage breast cancer and determined their genomic risk (using the 70-gene signature) and their clinical risk (using a modified version of Adjuvant! Online). Women at low clinical and genomic risk did not receive chemotherapy, whereas those at high clinical and genomic risk did receive such therapy. In patients with discordant risk results, either the genomic risk or the clinical risk was used to determine the use of chemotherapy. The primary goal was to assess whether, among patients with high-risk clinical features and a low-risk gene-expression profile who did not receive chemotherapy, the lower boundary of the 95% confidence interval for the rate of 5-year survival without distant metastasis would be 92% (i.e., the noninferiority boundary) or higher. A total of 1550 patients (23.2%) were deemed to be at high clinical risk and low genomic risk. At 5 years, the rate of survival without distant metastasis in this group was 94.7% (95% confidence interval, 92.5 to 96.2) among those not receiving chemotherapy. The absolute difference in this survival rate between these patients and those who received chemotherapy was 1.5 percentage points, with the rate being lower without chemotherapy. Similar rates of survival without distant metastasis were reported in the subgroup of patients who had estrogen-receptor-positive, human epidermal growth factor receptor 2-negative, and either node-negative or node-positive disease. Among women with early-stage breast cancer who were at high clinical risk and low genomic risk for recurrence, the receipt of no chemotherapy on the basis of the 70-gene signature led to a 5-year rate of survival without distant metastasis that was 1.5 percentage points lower than the rate with chemotherapy. Given these findings, approximately 46% of women with breast cancer who are at high clinical risk might not require chemotherapy. (Funded by the European Commission Sixth Framework Program and others; ClinicalTrials.gov number, NCT00433589; EudraCT number, 2005-002625-31.)

The BRCA1ness signature is associated significantly with response to PARP inhibitor treatment versus control in the I-SPY 2 randomized neoadjuvant setting.

BACKGROUND: Patients with BRCA1-like tumors correlate with improved response to DNA double-strand break-inducing therapy. A gene expression-based classifier was developed to distinguish between BRCA1-like and non-BRCA1-like tumors. We hypothesized that these tumors may also be more sensitive to PARP inhibitors than standard treatments. METHODS: A diagnostic gene expression signature (BRCA1ness) was developed using a centroid model with 128 triple-negative breast cancer samples from the EU FP7 RATHER project. This BRCA1ness signature was then tested in HER2-negative patients (n = 116) from the I-SPY 2 TRIAL who received an oral PARP inhibitor veliparib in combination with carboplatin (V-C), or standard chemotherapy alone. We assessed the association between BRCA1ness and pathologic complete response in the V-C and control arms alone using Fisher's exact test, and the relative performance between arms (biomarker × treatment interaction, likelihood ratio p < 0.05) using a logistic model and adjusting for hormone receptor status (HR). RESULTS: We developed a gene expression signature to identify BRCA1-like status. In the I-SPY 2 neoadjuvant setting the BRCA1ness signature associated significantly with response to V-C (p = 0.03), but not in the control arm (p = 0.45). We identified a significant interaction between BRCA1ness and V-C (p = 0.023) after correcting for HR. CONCLUSIONS: A genomic-based BRCA1-like signature was successfully translated to an expression-based signature (BRC1Aness). In the I-SPY 2 neoadjuvant setting, we determined that the BRCA1ness signature is capable of predicting benefit of V-C added to standard chemotherapy compared to standard chemotherapy alone. TRIAL REGISTRATION: I-SPY 2 TRIAL beginning December 31, 2009: Neoadjuvant and Personalized Adaptive Novel Agents to Treat Breast Cancer (I-SPY 2), NCT01042379