[HTML][HTML] Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in colorectal cancer
Microsatellite instability (MSI) has been approved as a pan-cancer biomarker for immune
checkpoint blockade (ICB) therapy. However, current MSI identification methods are not …
checkpoint blockade (ICB) therapy. However, current MSI identification methods are not …
Feasibility of deep learning‐based fully automated classification of microsatellite instability in tissue slides of colorectal cancer
SH Lee, IH Song, HJ Jang - International journal of cancer, 2021 - Wiley Online Library
High levels of microsatellite instability (MSI‐H) occurs in about 15% of sporadic colorectal
cancer (CRC) and is an important predictive marker for response to immune checkpoint …
cancer (CRC) and is an important predictive marker for response to immune checkpoint …
Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study
R Yamashita, J Long, T Longacre, L Peng… - The Lancet …, 2021 - thelancet.com
Background Detecting microsatellite instability (MSI) in colorectal cancer is crucial for clinical
decision making, as it identifies patients with differential treatment response and prognosis …
decision making, as it identifies patients with differential treatment response and prognosis …
[HTML][HTML] Analysis of the molecular nature associated with microsatellite status in colon cancer identifies clinical implications for immunotherapy
Background Microsatellite instability in colon cancer implies favorable therapeutic outcomes
after checkpoint blockade immunotherapy. However, the molecular nature of microsatellite …
after checkpoint blockade immunotherapy. However, the molecular nature of microsatellite …
Artificial intelligence for histology-based detection of microsatellite instability and prediction of response to immunotherapy in colorectal cancer
LA Hildebrand, CJ Pierce, M Dennis, M Paracha… - Cancers, 2021 - mdpi.com
Simple Summary Defects in a DNA repair pathway called mismatch repair (MMR) can lead
to cancer, including colorectal cancer (CRC). The detection of mismatch repair deficiency …
to cancer, including colorectal cancer (CRC). The detection of mismatch repair deficiency …
Development and validation of MRI‐based deep learning models for prediction of microsatellite instability in rectal cancer
W Zhang, H Yin, Z Huang, J Zhao, H Zheng… - Cancer …, 2021 - Wiley Online Library
Background Microsatellite instability (MSI) predetermines responses to adjuvant 5‐
fluorouracil and immunotherapy in rectal cancer and serves as a prognostic biomarker for …
fluorouracil and immunotherapy in rectal cancer and serves as a prognostic biomarker for …
[HTML][HTML] Deep learning for the detection of microsatellite instability from histology images in colorectal cancer: a systematic literature review
Microsatellite instability (MSI) or deficient mismatch repair (dMMR) is a clinically important
genetic feature affecting 10–15% of colorectal cancer (CRC) patients. Patients with …
genetic feature affecting 10–15% of colorectal cancer (CRC) patients. Patients with …
Recent applications of artificial intelligence from histopathologic image-based prediction of microsatellite instability in solid cancers: a systematic review
Simple Summary Although the evaluation of microsatellite instability (MSI) is important for
immunotherapy, it is not feasible to test MSI in all cancers due to the additional cost and …
immunotherapy, it is not feasible to test MSI in all cancers due to the additional cost and …
A next-generation sequencing-based strategy combining microsatellite instability and tumor mutation burden for comprehensive molecular diagnosis of advanced …
J Xiao, W Li, Y Huang, M Huang, S Li, X Zhai, J Zhao… - BMC cancer, 2021 - Springer
Background Mismatch repair (MMR)/microsatellite instability (MSI) and tumor mutational
burden (TMB) are independent biomarkers that complement each other for predicting …
burden (TMB) are independent biomarkers that complement each other for predicting …
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study
Deep learning (DL) can predict microsatellite instability (MSI) from routine histopathology
slides of colorectal cancer (CRC). However, it is unclear whether DL can also predict other …
slides of colorectal cancer (CRC). However, it is unclear whether DL can also predict other …
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