The role of parliamentarians in promoting sexual and reproductive health and rights [PDF]
Christine McCafferty
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Cancer stem cells are associated with aggressive disease, but a deep characterization of such markers is lacking in endometrial cancer. This study uses imaging mass cytometry to explore putative cancer stem cell markers in endometrial tumors and corresponding organoid models.
Hilde E. Lien+7 more
wiley +1 more source
Perspectives of an SRHR advocate on the impact of the Global Gag Rule in Kenya
Evelyne Opondo
doaj +1 more source
Rights, technology, and services in reproductive health. A report from a meeting, 6-7 May 1999
Marion Carter, Charlie McGrory
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Sterilization Racism and Pan-Ethnic Disparities of the Past Decade: The Continued Encroachment on Reproductive Rights [PDF]
Thomas W. Volscho
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Stochastic variation in the FOXM1 transcription program mediates replication stress tolerance
Cellular heterogeneity is a major cause of drug resistance in cancer. Segeren et al. used single‐cell transcriptomics to investigate gene expression events that correlate with sensitivity to the DNA‐damaging drugs gemcitabine and prexasertib. They show that dampened expression of transcription factor FOXM1 and its target genes protected cells against ...
Hendrika A. Segeren+4 more
wiley +1 more source
The Human Rights Act (1998) and its impact on reproductive issues
Gulam Bahadur
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CircCCNB1 expression is down‐regulated in nasopharyngeal carcinoma (NPC); thus, less NF90 protein is bound to circCCNB1 and more binds to pri‐miRNAs, blocking their (pri‐miRNAs) binding to DGCR8 and inhibiting the processing and generation of miR‐15b‐5p/miR‐7‐1‐3p. Furthermore, decreased miR‐15b‐5p/miR‐7‐1‐3p promotes the expression of the target genes
Chunmei Fan+6 more
wiley +1 more source
Sexual and reproductive health and rights in Latin America: an analysis of trends, commitments and achievements [PDF]
Emma Richardson, Anne‐Emanuelle Birn
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Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song+13 more
wiley +1 more source