scholarly journals Association of tricellulin expression with poor colorectal cancer prognosis and metastasis

2020 ◽  
Author(s):  
Jin‑Xiu Zhang ◽  
Meng‑Bin Qin ◽  
Zhe Ye ◽  
Peng Peng ◽  
Si‑Man Li ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Prognosis

scholarly journals The Role of the CpG Island Methylator Phenotype in Colorectal Cancer Prognosis Depends on Microsatellite Instability Screening Status

2010 ◽  
Vol 16 (6) ◽  
pp. 1845-1855 ◽  
Author(s):  
Anna M. Dahlin ◽  
Richard Palmqvist ◽  
Maria L. Henriksson ◽  
Maria Jacobsson ◽  
Vincy Eklöf ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Microsatellite Instability ◽  
Cpg Island ◽  
Cancer Prognosis ◽  
Cpg Island Methylator Phenotype ◽  
Methylator Phenotype

Double-edged sword of inflammasome genetics in colorectal cancer prognosis

2020 ◽  
Vol 213 ◽  
pp. 108373
Author(s):  
Raylane Adrielle Gonçalves Cambui ◽  
Gilmar Ferreira do Espírito Santo ◽  
Fernanda Pereira Fernandes ◽  
Vinicius Nunes Cordeiro Leal ◽  
Bianca Borsatto Galera ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Prognosis

Abstract 649: Classics to diagnostics: Assessing EMT biomarkers in colorectal cancer prognosis

2021 ◽  
Author(s):  
Rohin Patel ◽  
Angelique Robertson ◽  
Anjana Saxena ◽  
Mintoo Patel
Keyword(s):  
Colorectal Cancer ◽  
Cancer Prognosis

scholarly journals The Investigation about Stage Ⅲ Colorectal Cancer Prognosis Accordance with Number of Lymph Node Metastasis

2015 ◽  
Vol 40 (1) ◽  
pp. 6-12
Author(s):  
Takuzo Hashimoto ◽  
Michio Itabashi ◽  
Shinpei Ogawa ◽  
Tomoichiro Hirosawa ◽  
Yoshiko Bamba ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cancer Prognosis ◽  
Node Metastasis

scholarly journals Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis

2019 ◽  
Author(s):  
Gong‑Peng Dai ◽  
Li‑Ping Wang ◽  
Yu‑Qing Wen ◽  
Xue‑Qun Ren ◽  
Shu‑Guang Zuo
Keyword(s):  
Colorectal Cancer ◽  
Bioinformatics Analysis ◽  
Cancer Prognosis ◽  
Key Genes

ColoGuideEx: a robust gene classifier specific for stage II colorectal cancer prognosis

Gut ◽  
2012 ◽  
Vol 61 (11) ◽  
pp. 1560-1567 ◽  
Author(s):  
Trude H Ågesen ◽  
Anita Sveen ◽  
Marianne A Merok ◽  
Guro E Lind ◽  
Arild Nesbakken ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Prognosis ◽  
Stage Ii ◽  
Stage Ii Colorectal Cancer

scholarly journals Exploration of Potential Roles of m6A Regulators in Colorectal Cancer Prognosis

2020 ◽  
Vol 10 ◽  
Author(s):  
Liechen Ji ◽  
Shuo Chen ◽  
Liqiang Gu ◽  
Xipeng Zhang
Keyword(s):  
Colorectal Cancer ◽  
Cancer Prognosis

scholarly journals Personalizing the Prediction of Colorectal Cancer Prognosis by Incorporating Comorbidities and Functional Status into Prognostic Nomograms

Cancers ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1435 ◽  
Author(s):  
Daniel Boakye ◽  
Lina Jansen ◽  
Martin Schneider ◽  
Jenny Chang-Claude ◽  
Michael Hoffmeister ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Functional Status ◽  
Significant Risk ◽  
Disease Free Survival ◽  
Stage Iv ◽  
Tumor Location ◽  
Cancer Prognosis ◽  
Prognostic Models ◽  
Cox Models ◽  
Validation Set

Despite consistent evidence that comorbidities and functional status (FS) are strong prognostic factors for colorectal cancer (CRC) patients, these important characteristics are not considered in prognostic nomograms. We assessed to what extent incorporating these characteristics into prognostic models enhances prediction of CRC prognosis. CRC patients diagnosed in 2003–2014 who were recruited into a population-based study in Germany and followed over a median time of 4.7 years were randomized into training (n = 1608) and validation sets (n = 1071). In the training set, Cox models with predefined variables (age, sex, stage, tumor location, comorbidity scores, and FS) were used to construct nomograms for relevant survival outcomes. The performance of the nomograms, compared to models without comorbidity and FS, was evaluated in the validation set using concordance index (C-index). The C-indexes of the nomograms for overall and disease-free survival in the validation set were 0.768 and 0.737, which were substantially higher than those of models including tumor stage only (0.707 and 0.701) or models including stage, age, sex, and tumor location (0.749 and 0.718). The nomograms enabled significant risk stratification within all stages including stage IV. Our study suggests that incorporating comorbidities and FS into prognostic nomograms could substantially enhance prediction of CRC prognosis.

scholarly journals Statistical strategies to improve the efficiency of molecular studies of colorectal cancer prognosis

2008 ◽  
Vol 99 (12) ◽  
pp. 2001-2005 ◽  
Author(s):  
P Qu ◽  
H Chu ◽  
J G Ibrahim ◽  
J Peacock ◽  
X J Shen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Prognosis ◽  
Molecular Studies
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