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- Bondhopadhyay, Banashree, et al.
(författare)
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The differential expression of Promyelocytic Leukemia (PML) and retinoblastoma (RB1) genes in breast cancer
- 2021
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Ingår i: Meridian Critic. - : Elsevier. - 2069-6787 .- 2214-5400. ; 28
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Tidskriftsartikel (refereegranskat)abstract
- Breast cancer consists of various subtypes like Her2+, ER/PR+Her2-, ER/PR+Her2+, TNBCs (Triple-Negative Breast Cancers), TPBCs (Triple-Positive Breast Cancers), etc., according to hormonal receptors and Her2 profile. Among these, TNBCs have limited therapeutic interventions, due to lack of receptors for ER, PR and Her2. Apart from BRCA1 and BRCA2, there are certain tumor suppressors and/or oncogenes (PML and RB1) influencing breast cancer, but the precise implication of these genes and their correlation is still not clearly understood. These genes play pivotal role in cell cycle regulation, proliferation, differentiation, survival, and apoptosis. Thus, we sought to identify the role of PML and RB1, and their correlation in breast cancer especially in TNBCs. Data demonstrated that 17% were TNBCs, interestingly among these cases, 72% showed remarkable upregulation of PML and downregulation of RB1; whereas 14% cases showed downregulation of PML and RB1, and 14% cases showed loss of expression of PML and RB1. To further validate our results, we included the data from METABRICS and TCGA datasets. Interestingly, our data showed good concordance with METABRICS and TCGA data showing upregulation of PML and downregulation of RB1 in TNBCs. In addition, we also checked the survivability effect of PML and RB1 through Kaplan-Meier plotter and observed that upregulation of PML and downregulation of RB1 decreases recurrence-free survivability in TNBC cases. Overall, the data suggests a plausible role of PML and RB1 genes in breast cancer patients particularly in TNBCs, where treatment options are limited compared to the other subtypes of breast cancer cases.
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| 2. |
- Ovalle, Anaelia, et al.
(författare)
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Queer In AI : A Case Study in Community-Led Participatory AI
- 2023
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Ingår i: FAccT '23. - : Association for Computing Machinery (ACM). - 9798400701924 ; , s. 1882-1895
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Konferensbidrag (refereegranskat)abstract
- Queerness and queer people face an uncertain future in the face of ever more widely deployed and invasive artificial intelligence (AI). These technologies have caused numerous harms to queer people, including privacy violations, censoring and downranking queer content, exposing queer people and spaces to harassment by making them hypervisible, deadnaming and outing queer people. More broadly, they have violated core tenets of queerness by classifying and controlling queer identities. In response to this, the queer community in AI has organized Queer in AI, a global, decentralized, volunteer-run grassroots organization that employs intersectional and community-led participatory design to build an inclusive and equitable AI future. In this paper, we present Queer in AI as a case study for community-led participatory design in AI. We examine how participatory design and intersectional tenets started and shaped this community's programs over the years. We discuss different challenges that emerged in the process, look at ways this organization has fallen short of operationalizing participatory and intersectional principles, and then assess the organization's impact. Queer in AI provides important lessons and insights for practitioners and theorists of participatory methods broadly through its rejection of hierarchy in favor of decentralization, success at building aid and programs by and for the queer community, and effort to change actors and institutions outside of the queer community. Finally, we theorize how communities like Queer in AI contribute to the participatory design in AI more broadly by fostering cultures of participation in AI, welcoming and empowering marginalized participants, critiquing poor or exploitative participatory practices, and bringing participation to institutions outside of individual research projects. Queer in AI's work serves as a case study of grassroots activism and participatory methods within AI, demonstrating the potential of community-led participatory methods and intersectional praxis, while also providing challenges, case studies, and nuanced insights to researchers developing and using participatory methods.
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