Lesion-aware dynamic kernel for polyp segmentation
Ruifei Zhang
Multi-omics longitudinal analyses in stages I to III CRC patients: Surveillance liquid biopsy test to predict early recurrence and enable risk-stratified postoperative CRC management.
**Background**: One-third of colorectal cancer (CRC) recurs following curative surgery and chemotherapy. Accordingly, novel methods are needed to predict recurrence to enable …
Xuanhui Liu
Integrated immune-related gene signature to predict clinical outcome for patients with luminal B breast cancer.
**Background**: Luminal B breast cancer is always routinely treated with chemotherapy and endocrine therapy but heterogeneous with respect to sensitivity to treatment, …
Xiaying Kuang
Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer.
**Background**: Few robust predictive biomarkers have been applied in clinical practice due to the heterogeneity of metastatic colorectal cancer (mCRC) . Using the gene pair …
Genome-wide analysis indicating cancer associated fibroblast (CAF) impacts on colorectal cancer (CRC) prognosis via immunosuppression.
**Background**: Cancer associated fibroblast (CAF) in tumor microenvironment is associated with poor prognosis and chemo-resistance in multiple solid tumors, however, there is lack …
Yu-Feng Chen
Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer.
**Background**: Identifying robust prognostic risk groups of colorectal cancer (CRC) will significantly improve patients’ outcomes. However, CRC has been demonstrated to be …
A model combing an immune-related genes signature and an extracellular matrix-related genes signature in predicting prognosis of left-and right-sided colon cancer
**Background**: Primary tumor sidedness has been found to be prognostic in colorectal cancer (CRC), with right-sided colon cancer (RCC) having a worse survival than left-sided …
