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Construction of a Prognostic Model and Subgroup Characteristics Related to Hypoxia-Immune Evasion in T Cells of Hepatocellular Carcinoma Based on Single-Cell and Bulk RNA Analysis
Back to Journals » Journal of Hepatocellular Carcinoma » Volume 13 Authors Ma X , Ying L , Xiang X Received 17 September 2025 Accepted for publication 10 February 2026 Published 8 April 2026 Volume 2026:13 568320 DOI https://doi.org/10.2147/JHC.S568320 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 2 Editor who approved publication: Dr David Gerber Xiaojing Ma, Linlin Ying, Xueping Xiang Department of Pathology, the Second Affiliated Hospital, School...
Development of metastasis and survival prediction model of luminal and non-luminal breast cancer with weakly supervised learning based on pathomics
Development of metastasis and survival prediction model of luminal and non-luminal breast cancer with weakly supervised learning based on pathomics Departments of Clinical Pathology, The Second Affiliated Hospital of Medical College of Zhejiang University, Hangzhou, Zhejiang, China DOI 10.7717/peerj.18780 Academic Editor Jincheng Wang Subject Areas Pathology, Radiology and Medical Imaging, Women’s Health Keywords Breast cancer, Pathomics, Weakly supervised learning, Metastasis prediction...
Enhanced Commendable Sensitivity and Specificity for MSI in Colorectal Cancer by a New PCR‐HRM Based 8‐Loci MSI Assay
1 Introduction Microsatellites comprise repetitive DNA sequences that are tandemly arranged in units of 1–6 nucleotides throughout the genome. The emergence of microsatellite instability (MSI) can be attributed to malfunctions in the mismatch repair (MMR) protein function, culminating in MSI. MSI tests are employed primarily to screen for Lynch syndrome, particularly in cases where colorectal cancer (CRC) manifests at an early age [1].
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