Identifying therapeutic candidates for endometriosis through a transcriptomics-based drug repositioning approach

Oskotsky, Tomiko T.; Bhoja, Arohee; Bunis, Daniel; Le, Brian L.; Tang, Alice S.; Kosti, Idit; Li, Christine; Houshdaran, Sahar; Sen, Sushmita; Vallvé-Juanico, Júlia; Wang, Wanxin; Arthurs, Erin; Govil, Arpita; Mahoney, Lauren; Lang, Lindsey; Gaudilliere, Brice; Stevenson, David K.; Irwin, Juan C.; Giudice, Linda C.; McAllister, Stacy L.; Sirota, Marina

doi:10.1016/j.isci.2024.109388

iScience

2024

DOI: 10.1016/j.isci.2024.109388

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Identifying therapeutic candidates for endometriosis through a transcriptomics-based drug repositioning approach

Tomiko T. Oskotsky,

Arohee Bhoja,

Daniel Bunis

et al.

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2024

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Cited by 3 publications

(1 citation statement)

References 80 publications

(112 reference statements)

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“…vaginal hyperalgesia 11 . With regard to PTB, a condition that affects ~10% of infants born each year and is the leading cause of infant morbidity and mortality worldwide 12 , a meta-analysis of maternal and fetal transcriptomics data found that immune signals are largely misregulated in women who end up delivering preterm with a reversed signal observed in babies 13 .…”

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Data-driven insights can transform women’s reproductive health

Oskotsky,

Yin,

Khan

et al. 2024

npj Womens Health

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This perspective explores the transformative potential of data-driven insights to understand and address women’s reproductive health conditions. Historically, clinical studies often excluded women, hindering comprehensive research into conditions such as adverse pregnancy outcomes and endometriosis. Recent advances in technology (e.g., next-generation sequencing techniques, electronic medical records (EMRs), computational power) provide unprecedented opportunities for research in women’s reproductive health. Studies of molecular data, including large-scale meta-analyses, provide valuable insights into conditions like preterm birth and preeclampsia. Moreover, EMRs and other clinical data sources enable researchers to study populations of individuals, uncovering trends and associations in women’s reproductive health conditions. Despite these advancements, challenges such as data completeness, accuracy, and representation persist. We emphasize the importance of holistic approaches, greater inclusion, and refining and expanding on how we leverage data and computational integrative approaches for discoveries so that we can benefit not only women’s reproductive health but overall human health.

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confidence: 99%

Data-driven insights can transform women’s reproductive health

Oskotsky,

Yin,

Khan

et al. 2024

npj Womens Health

Self Cite

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Endometriosis: recent advances that could accelerate diagnosis and improve care

Griffiths,

Horne,

Gibson

et al. 2024

Trends in Molecular Medicine

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Pathogenesis of Endometriosis and Endometriosis-Associated Cancers

Adilbayeva,

Kunz

2024

IJMS

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Endometriosis is a hormone-dependent, chronic inflammatory condition that affects 5–10% of reproductive-aged women. It is a complex disorder characterized by the growth of endometrial-like tissue outside the uterus, which can cause chronic pelvic pain and infertility. Despite its prevalence, the underlying molecular mechanisms of this disease remain poorly understood. Current treatment options are limited and focus mainly on suppressing lesion activity rather than eliminating it entirely. Although endometriosis is generally considered a benign condition, substantial evidence suggests that it increases the risk of developing specific subtypes of ovarian cancer. The discovery of cancer driver mutations in endometriotic lesions indicates that endometriosis may share molecular pathways with cancer. Moreover, the application of single-cell and spatial genomics, along with the development of organoid models, has started to illuminate the molecular mechanisms underlying disease etiology. This review aims to summarize the key genetic mutations and alterations that drive the development and progression of endometriosis to malignancy. We also review the significant recent advances in the understanding of the molecular basis of the disorder, as well as novel approaches and in vitro models that offer new avenues for improving our understanding of disease pathology and for developing new targeted therapies.

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Identifying therapeutic candidates for endometriosis through a transcriptomics-based drug repositioning approach

Cited by 3 publications

References 80 publications

Data-driven insights can transform women’s reproductive health

Data-driven insights can transform women’s reproductive health

Endometriosis: recent advances that could accelerate diagnosis and improve care

Pathogenesis of Endometriosis and Endometriosis-Associated Cancers

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