Results 131 to 140 of about 88,754 (292)

Characterizing Microsatellite Instability and Chromosome Instability in Interval Colorectal Cancers

Neoplasia: An International Journal for Oncology Research, 2018
There are a substantial portion of colorectal cancers (CRCs), termed interval CRCs (I-CRCs), that are diagnosed shortly after a negative colonoscopy (i.e., no detectable polyps or CRC) and before recommended follow-up screening.
Amy L. Cisyk, Zoann Nugent, Robert H. Wightman, Harminder Singh, Kirk J. McManus   +4 more
doaj  

Prompting Whole Slide Image Based Genetic Biomarker Prediction [PDF]

arXiv
Prediction of genetic biomarkers, e.g., microsatellite instability and BRAF in colorectal cancer is crucial for clinical decision making. In this paper, we propose a whole slide image (WSI) based genetic biomarker prediction method via prompting techniques.
arxiv  

Analysis of Microsatellite Instability in Colorectal Cancer and Precursor Lesions

, 1970
Ge Ye, Hong Chen, Jinku Zhang, Jirui Sun
openalex   +2 more sources

Frequent Microsatellite Instability and Mismatch Repair Gene Mutations in Young Chinese Patients With Colorectal Cancer [PDF]

, 1999
Tzu-Liang Chan, ST Yuen, Leland W.K. Chung, Judy Ho, Kedo Kwan, Annie S.Y. Chan, Jenny Ho, Suet Yi Leung, A H Wyllie   +8 more
openalex   +1 more source

Microsatellite Instability in Malignant Melanoma [PDF]

, 1998
Vishwas R. Talwalkar, Marc Scheiner, Lora K. Hedges, Merlin G. Butler, Herbert S. Schwartz   +4 more
openalex   +1 more source

Exome‐wide molecular insights from blood and urine liquid biopsies in genitourinary cancers

UroPrecision, EarlyView.
Abstract Background Liquid biopsy has emerged as a non‐invasive method for real‐time cancer monitoring especially in genitourinary (GU) oncology. Most current studies utilize a panel‐based molecular profiling ranging from 50–600 genes; however, a comprehensive exome‐wide profiling of real‐world patient samples has been lacking. Methods Over 2000 liquid
Eric Jia, Tiantian Zheng, Yong Huang, Pan Du   +3 more
wiley   +1 more source

$M^{2}$Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction [PDF]

arXiv
Colorectal cancer (CRC) micro-satellite instability (MSI) prediction on histopathology images is a challenging weakly supervised learning task that involves multi-instance learning on gigapixel images. To date, radiology images have proven to have CRC MSI information and efficient patient imaging techniques. Different data modalities integration offers
arxiv  

The value of microsatellite instability in the detection of HNPCC families and of sporadic colorectal cancers with special biological features: An investigation on a series of 100 consecutive cases

, 1998
Daniela Furlan, M.G. Tibiletti, Monica Taborelli, Luca Albarello, Matteo Cornaggia, C. Capella   +5 more
openalex   +1 more source

Microsatellite instability in thyroid tumours and tumour-like lesions [PDF]

, 1998
Davide Lazzereschi, Raffaele Palmirotta, Annaluisa Ranieri, Laura Ottini, Maria Concetta Verı̀, Alessandro Cama, Francesco Cetta, Francesco Nardi, Giulia Colletta, Renato Mariani‐Costantini   +9 more
openalex   +1 more source

Deciphering the tumor immune microenvironment: Microscale measurements for precision detection and multidimensional analysis

VIEW, EarlyView.
The tumor immune microenvironment (TIME) plays a critical role in cancer progression and treatment response. Advanced tools like nanotechnology‐empowered sensors to precisely detect at microscopic scales are introduced. These innovations improve the ability to predict patient responses to immunotherapies and identify new therapeutic targets, paving the
Lu Wang, Fan Yin, Rongping Luo, Fengqi Dong, Jianxin Lyu, Zhen Wang, Yi Zhang   +6 more
wiley   +1 more source