Colorectal cancer (CRC) is a major cause of global cancer mortality. Gene expression profiles can help predict prognosis of patients with CRC. In most of previous studies, disease recurrence was analyzed as the survival endpoint. Thus we aim to build a robust gene signature for prediction of overall survival (OS) in patients with CRC. Fresh frozen CRC tissues from 64 patients were analyzed using Affymetrix HG-U133plus 2.0 gene arrays. By performing univariate survival analysis, 6487 genes were found to be associated with the OS in our cohort. KEGG analysis revealed that these genes were mainly involved in pathways such as endocytosis, axon guidance, spliceosome, Wnt signalling and ubiquitin mediated proteolysis. A seven-gene signature was f...
AIMS: Despite continual efforts to develop prognostic and predictive models of colorectal cancer by ...
Purpose This study aims to develop a robust gene expression classifier that can predict disease rela...
High throughput gene expression profiling has showed great promise in providing insight into molecul...
Colorectal cancer (CRC) is a major cause of global cancer mortality. Gene expression profiles can he...
Abstract Background An accurate and robust gene signature is of the utmost importance in assisting o...
Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality worldwide. The curr...
Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality worldwide. The curr...
[EN]Identification of biomarkers associated with the prognosis of different cancer subtypes is criti...
[Background] Identification of biomarkers associated with the prognosis of different cancer subtypes...
Abstract Colorectal cancer (CRC) is a malignant tumor and morbidity rates are among the highest in t...
Colorectal cancer (CRC) is the third leading cause of global cancer mortality. Recent studies have p...
Colorectal Cancer (CRC) is the second leading cause of cancer deaths globally. Whilst tumour sta...
Abstract Background Identification of biomarkers associated with the prognosis of different cancer s...
To understand the molecular mechanisms of metastasis and prognosis of colorectal cancer (CRC), we is...
Purpose This study aims to develop a robust gene expression classifier that can predict disease rela...
AIMS: Despite continual efforts to develop prognostic and predictive models of colorectal cancer by ...
Purpose This study aims to develop a robust gene expression classifier that can predict disease rela...
High throughput gene expression profiling has showed great promise in providing insight into molecul...
Colorectal cancer (CRC) is a major cause of global cancer mortality. Gene expression profiles can he...
Abstract Background An accurate and robust gene signature is of the utmost importance in assisting o...
Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality worldwide. The curr...
Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality worldwide. The curr...
[EN]Identification of biomarkers associated with the prognosis of different cancer subtypes is criti...
[Background] Identification of biomarkers associated with the prognosis of different cancer subtypes...
Abstract Colorectal cancer (CRC) is a malignant tumor and morbidity rates are among the highest in t...
Colorectal cancer (CRC) is the third leading cause of global cancer mortality. Recent studies have p...
Colorectal Cancer (CRC) is the second leading cause of cancer deaths globally. Whilst tumour sta...
Abstract Background Identification of biomarkers associated with the prognosis of different cancer s...
To understand the molecular mechanisms of metastasis and prognosis of colorectal cancer (CRC), we is...
Purpose This study aims to develop a robust gene expression classifier that can predict disease rela...
AIMS: Despite continual efforts to develop prognostic and predictive models of colorectal cancer by ...
Purpose This study aims to develop a robust gene expression classifier that can predict disease rela...
High throughput gene expression profiling has showed great promise in providing insight into molecul...