دورية أكاديمية
Early screening of colorectal cancer using feature engineering with artificial intelligence-enhanced analysis of nanoscale chromatin modifications
العنوان: | Early screening of colorectal cancer using feature engineering with artificial intelligence-enhanced analysis of nanoscale chromatin modifications |
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المؤلفون: | Andrew Chang, Sravya Prabhala, Ali Daneshkhah, Jianan Lin, Hariharan Subramanian, Hemant Kumar Roy, Vadim Backman |
المصدر: | Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024) |
بيانات النشر: | Nature Portfolio, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Medicine LCC:Science |
مصطلحات موضوعية: | Medicine, Science |
الوصف: | Abstract Colonoscopy is accurate but inefficient for colorectal cancer (CRC) prevention due to the low (~ 7 to 8%) prevalence of target lesions, advanced adenomas. We leveraged rectal mucosa to identify patients who harbor CRC field carcinogenesis by evaluating chromatin 3D architecture. Supranucleosomal disordered chromatin chains (~ 5 to 20 nm, ~1 kbp) fold into chromatin packing domains (~ 100 to 200 nm, ~ 100 to 1000 kbp). In turn, the fractal-like conformation of DNA within chromatin domains and the folding of the genome into packing domains has been shown to influence multiple facets of gene transcription, including the transcriptional plasticity of cancer cells. We deployed an optical spectroscopic nanosensing technique, chromatin-sensitive partial wave spectroscopic microscopy (csPWS), to evaluate the packing density scaling D of the chromatin chain conformation within packing domains from rectal mucosa in 256 patients with varying degrees of progression to colorectal cancer. We found average packing scaling D of chromatin domains was elevated in tumor cells, histologically normal-appearing cells 4 cm proximal to the tumor, and histologically normal-appearing rectal mucosa compared to cells from control patients (p |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2045-2322 |
Relation: | https://doaj.org/toc/2045-2322 |
DOI: | 10.1038/s41598-024-58016-8 |
URL الوصول: | https://doaj.org/article/42860204b9af41e0bf13ac1109134cdb |
رقم الأكسشن: | edsdoj.42860204b9af41e0bf13ac1109134cdb |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20452322 |
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DOI: | 10.1038/s41598-024-58016-8 |