CRC Research Update — August 15, 2026
Today's colorectal cancer research highlights
msi-h
A collection of 131 issues
Multimodal deep learning model predicts MSI status from CT and pathology
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The CRC Digest
Multimodal deep learning model predicts MSI status from CT and pathology
Researchers developed a multimodal deep learning model integrating CT radiomics and histopathologic pathomics for predicting microsatellite instability in colorectal cancer, enrolling 509 patients from two medical centers. (Academic Radiology)
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CRC Research Update — August 13, 2026
Today's colorectal cancer research highlights
Dual immunotherapy may outperform single-agent pembrolizumab in MSI-H metastatic colorectal cancer
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The CRC Digest
◆ TRIAL DATA
Dual immunotherapy may outperform single-agent pembrolizumab in MSI-H metastatic colorectal cancer
An indirect comparison using reconstructed patient data from KEYNOTE-177 and CheckMate 8HW suggests nivolumab-ipilimumab may offer progression-free survival benefits over pembrolizumab in first-line MSI-H/dMMR metastatic disease, though grade 3/4
Economic evaluation compares nivolumab plus ipilimumab versus nivolumab alone in dMMR/MSI-H metastatic CRC
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The CRC Digest
Economic evaluation compares nivolumab plus ipilimumab versus nivolumab alone in dMMR/MSI-H metastatic CRC
A Chinese study used a three-state partitioned survival model to evaluate nivolumab plus ipilimumab versus nivolumab monotherapy in previously treated metastatic colorectal cancer patients with dMMR/MSI-H, using Kaplan-Meier curves
CRC Research Update — August 09, 2026
Today's colorectal cancer research highlights
Study Evaluates Trifluridine/Tipiracil in MSI-H/dMMR Metastatic CRC
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The CRC Digest
▸ TREATMENT
Study Evaluates Trifluridine/Tipiracil in MSI-H/dMMR Metastatic CRC
A study across 10 Japanese hospitals aimed to evaluate trifluridine/tipiracil (with or without bevacizumab) in MSI-H/dMMR metastatic colorectal cancer, a population known to resist standard fluorouracil-based therapies. (Therapeutic Advances in Medical Oncology)
CRC Research Update — August 08, 2026
Today's colorectal cancer research highlights
AI method for classifying pathology whole slide images using self-distillation technique
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The CRC Digest
◇ RESEARCH
AI method for classifying pathology whole slide images using self-distillation technique
Researchers developed a phenotypic self-distillation approach to classify whole slide images in colorectal cancer, addressing limitations of current attention mechanisms in Multiple Instance Learning. (Pathology Research and Practice)
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CRC Research Update — August 06, 2026
Today's colorectal cancer research highlights