Background The identification of high-risk stage II colon cancers is key to the selection of patients who require adjuvant treatment after surgery. Microarray-based multigene-expression signatures derived from stem cells and progenitor cells hold promise, but they are difficult to use in clinical practice. Methods We used a new bioinformatics approach to search for biomarkers of colon epithelial differentiation across gene-expression arrays and then ranked candidate genes according to the availability of clinical-grade diagnostic assays. With the use of subgroup analysis involving independent and retrospective cohorts of patients with stage II or stage III colon cancer, the top candidate gene was tested for its association with disease-free...
CDX2 is a transcription factor that acts as a tumor suppressor in colorectal cancer (CRC). Its loss ...
PurposeConventional staging methods are inadequate to identify patients with stage II colon cancer (...
Purpose This study aims to develop a robust gene expression classifier that can predict disease rela...
Background The identification of high-risk stage II colon cancers is key to the selection of patient...
Aim: Better stratification of patients with stage II and stage III colon cancer for risk of recurren...
Colon cancer is one of the most common cancers in both the United States (US) and throughout the wor...
We aimed to refine the value of CDX2 as an independent prognostic and predictive biomarker in colore...
Purpose: Caudal-type homeobox transcription factor 2 (CDX2) is expressed in the nucleus of the intes...
Background: Survival of metastatic colorectal cancer (mCRC) patients has improved, but mainly for tr...
Objective Prognostic prediction of colorectal cancer (CRC) remains challenging because of its hetero...
Purpose: Lack of expression of the intestinal transcription factor CDX2 in colorectal cancer (CRC) i...
Background Colon cancer (CC) is a heterogeneous disease. Novel prognostic factors beyond pathologica...
Current risk factors in stage II colorectal carcinoma are insufficient to guide treatment decisions....
Background and objective: Colorectal cancer is a multi-factorial disease process, with etiology enco...
INTRODUCTION: Colorectal cancer is one of the alarming health problems worldwide. It is the third ...
CDX2 is a transcription factor that acts as a tumor suppressor in colorectal cancer (CRC). Its loss ...
PurposeConventional staging methods are inadequate to identify patients with stage II colon cancer (...
Purpose This study aims to develop a robust gene expression classifier that can predict disease rela...
Background The identification of high-risk stage II colon cancers is key to the selection of patient...
Aim: Better stratification of patients with stage II and stage III colon cancer for risk of recurren...
Colon cancer is one of the most common cancers in both the United States (US) and throughout the wor...
We aimed to refine the value of CDX2 as an independent prognostic and predictive biomarker in colore...
Purpose: Caudal-type homeobox transcription factor 2 (CDX2) is expressed in the nucleus of the intes...
Background: Survival of metastatic colorectal cancer (mCRC) patients has improved, but mainly for tr...
Objective Prognostic prediction of colorectal cancer (CRC) remains challenging because of its hetero...
Purpose: Lack of expression of the intestinal transcription factor CDX2 in colorectal cancer (CRC) i...
Background Colon cancer (CC) is a heterogeneous disease. Novel prognostic factors beyond pathologica...
Current risk factors in stage II colorectal carcinoma are insufficient to guide treatment decisions....
Background and objective: Colorectal cancer is a multi-factorial disease process, with etiology enco...
INTRODUCTION: Colorectal cancer is one of the alarming health problems worldwide. It is the third ...
CDX2 is a transcription factor that acts as a tumor suppressor in colorectal cancer (CRC). Its loss ...
PurposeConventional staging methods are inadequate to identify patients with stage II colon cancer (...
Purpose This study aims to develop a robust gene expression classifier that can predict disease rela...