Academic Journal

Reconstructing disease dynamics for mechanistic insights and clinical benefit

التفاصيل البيبلوغرافية
العنوان: Reconstructing disease dynamics for mechanistic insights and clinical benefit
المؤلفون: Frishberg, Amit, Milman, Neta, Alpert, Ayelet, Spitzer, Hannah, Asani, Ben, Schiefelbein, Johannes B., Bakin, Evgeny, Regev-Berman, Karen, Priglinger, Siegfried G., Schultze, Joachim L., Theis, Fabian J., Shen-Orr, Shai S.
المساهمون: ISRAEL SCIENCE FOUNDATION
المصدر: Nature Communications ; volume 14, issue 1 ; ISSN 2041-1723
بيانات النشر: Springer Science and Business Media LLC
سنة النشر: 2023
الوصف: Diseases change over time, both phenotypically and in their underlying molecular processes. Though understanding disease progression dynamics is critical for diagnostics and treatment, capturing these dynamics is difficult due to their complexity and the high heterogeneity in disease development between individuals. We present TimeAx, an algorithm which builds a comparative framework for capturing disease dynamics using high-dimensional, short time-series data. We demonstrate the utility of TimeAx by studying disease progression dynamics for multiple diseases and data types. Notably, for urothelial bladder cancer tumorigenesis, we identify a stromal pro-invasion point on the disease progression axis, characterized by massive immune cell infiltration to the tumor microenvironment and increased mortality. Moreover, the continuous TimeAx model differentiates between early and late tumors within the same tumor subtype, uncovering molecular transitions and potential targetable pathways. Overall, we present a powerful approach for studying disease progression dynamics—providing improved molecular interpretability and clinical benefits for patient stratification and outcome prediction.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1038/s41467-023-42354-8
الاتاحة: http://dx.doi.org/10.1038/s41467-023-42354-8
https://www.nature.com/articles/s41467-023-42354-8.pdf
https://www.nature.com/articles/s41467-023-42354-8
Rights: https://creativecommons.org/licenses/by/4.0 ; https://creativecommons.org/licenses/by/4.0
رقم الانضمام: edsbas.4EA74DC5
قاعدة البيانات: BASE
الوصف
DOI:10.1038/s41467-023-42354-8