Prognostic Significance and Correlation with Survival of bcl-2 and TGF-β RII in Colon Cancer

2003 ◽  
Vol 48 (12) ◽  
pp. 2284-2289 ◽  
Author(s):  
Gregory Kouraklis ◽  
John Kakisis ◽  
Stamatios Theoharis ◽  
Antonia Tzonou ◽  
Andromachi Glinavou ◽  
...  
2001 ◽  
Vol 44 (3) ◽  
pp. 358-363 ◽  
Author(s):  
W. A. Bleeker ◽  
V. M. Hayes ◽  
A. Karrenbeld ◽  
R. M. W. Hofstra ◽  
E. Verlind ◽  
...  

2021 ◽  
Author(s):  
Huey-Miin Chen ◽  
Justin A. MacDonald

AbstractAdenocarcinoma of the colon is the fourth most common malignancy worldwide with significant rates of mortality. Hence, the identification of novel molecular biomarkers with prognostic significance is of particular importance for improvements in treatment and patient outcome. Clinical traits and RNA-Seq data of 551 patient samples and 18,205 genes in the UCSC Toil Recompute Compendium of TCGA TARGET and GTEx datasets (restricted to |Primary_site| = colon) were obtained from the Xena platform. Weighted gene co-expression network analysis was completed, and 24 unique modules were assembled to specifically examine the association between gene networks and cancer cell invasion. One module, containing 151 genes, was significantly correlated with lymphatic invasion, a histopathological feature of higher-risk colon cancer. Search tool for the retrieval of interacting genes/proteins (STRING) and gene ontology (GO) analyses identified the module to be enriched in genes related to cytoskeletal organization and apoptotic signaling, suggesting involvement in tumor cell survival and migration along with epithelial-mesenchymal transformation. Of genes that were differentially expressed and significant for overall survival, DAPK3 (death-associated protein kinase 3) was revealed as the pseudo-hub of the module. Although DAPK3 expression was reduced in colon cancer patients, survival analysis revealed that high expression of DAPK3 was significantly correlated with greater lymphovascular invasion and poor overall survival.


2017 ◽  
Vol 41 (11) ◽  
pp. 2898-2905
Author(s):  
O Kyu Noh ◽  
Seung Yeop Oh ◽  
Young Bae Kim ◽  
Kwang Wook Suh

2011 ◽  
Author(s):  
Mihriban Karaayvaz ◽  
Timothy Pal ◽  
Bo Song ◽  
Cecilia Zhang ◽  
Penelope Georgakopoulos ◽  
...  

Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3238
Author(s):  
Mercedes Herrera ◽  
Artur Mezheyeuski ◽  
Lisa Villabona ◽  
Sara Corvigno ◽  
Carina Strell ◽  
...  

Inter-case variations in immune cell and fibroblast composition are associated with prognosis in solid tumors, including colon cancer. A series of experimental studies suggest immune-modulatory roles of marker-defined fibroblast populations, including FAP-positive fibroblasts. These studies imply that the fibroblast status of tumors might affect the prognostic significance of immune-related features. Analyses of a population-based colon cancer cohort demonstrated good prognosis associations of FAP intensity and CD8a density. Notably, a significant prognostic interaction was detected between these markers (p = 0.013 in nonadjusted analyses and p = 0.003 in analyses adjusted for cofounding factors) in a manner where the good prognosis association of CD8 density was restricted to the FAP intensity-high group. This prognostic interaction was also detected in an independent randomized trial-derived colon cancer cohort (p = 0.048 in nonadjusted analyses). In the CD8-high group, FAP intensity was significantly associated with a higher total tumor density of FoxP3-positive immune cells and a higher ratio of epithelial-to-stromal density of CD8a T cells. The study presents findings relevant for the ongoing efforts to improve the prognostic performance of CD8-related markers and should be followed by additional validation studies. Furthermore, findings support, in general, earlier model-derived studies implying fibroblast subsets as clinically relevant modulators of immune surveillance. Finally, the associations between FAP intensity and specific immune features suggest mechanisms of fibroblast-immune crosstalk with therapeutic potential.


2020 ◽  
Vol 41 (9) ◽  
pp. 1219-1228
Author(s):  
Seçil Demirkol Canlı ◽  
Esin Gülce Seza ◽  
Ilir Sheraj ◽  
Ismail Gömçeli ◽  
Nesrin Turhan ◽  
...  

Abstract AKR1B1 and AKR1B10, members of the aldo-keto reductase family of enzymes that participate in the polyol pathway of aldehyde metabolism, are aberrantly expressed in colon cancer. We previously showed that high expression of AKR1B1 (AKR1B1HIGH) was associated with enhanced motility, inflammation and poor clinical outcome in colon cancer patients. Using publicly available datasets and ex vivo gene expression analysis (n = 51, Ankara cohort), we have validated our previous in silico finding that AKR1B1HIGH was associated with worse overall survival (OS) compared with patients with low expression of AKR1B1 (AKR1B1LOW) samples. A combined signature of AKR1B1HIGH and AKR1B10LOW was significantly associated with worse recurrence-free survival (RFS) in microsatellite stable (MSS) patients and in patients with distal colon tumors as well as a higher mesenchymal signature when compared with AKR1B1LOW/AKR1B10HIGH tumors. When the patients were stratified according to consensus molecular subtypes (CMS), AKR1B1HIGH/AKR1B10LOW samples were primarily classified as CMS4 with predominantly mesenchymal characteristics while AKR1B1LOW/AKR1B10HIGH samples were primarily classified as CMS3 which is associated with metabolic deregulation. Reverse Phase Protein Array carried out using protein samples from the Ankara cohort indicated that AKR1B1HIGH/AKR1B10LOW tumors showed aberrant activation of metabolic pathways. Western blot analysis of AKR1B1HIGH/AKR1B10LOW colon cancer cell lines also suggested aberrant activation of nutrient-sensing pathways. Collectively, our data suggest that the AKR1B1HIGH/AKR1B10LOW signature may be predictive of poor prognosis, aberrant activation of metabolic pathways, and can be considered as a novel biomarker for colon cancer prognostication.


2006 ◽  
Vol 95 (10) ◽  
pp. 1419-1423 ◽  
Author(s):  
C Rimkus ◽  
M Martini ◽  
J Friederichs ◽  
R Rosenberg ◽  
D Doll ◽  
...  

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