scholarly journals Untargeted Metabolomics Reveals Major Differences in the Plasma Metabolome between Colorectal Cancer and Colorectal Adenomas

Metabolites ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 119
Author(s):  
Tanja Gumpenberger ◽  
Stefanie Brezina ◽  
Pekka Keski-Rahkonen ◽  
Andreas Baierl ◽  
Nivonirina Robinot ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
High Risk ◽  
Cancer Patients ◽  
Molecular Mechanisms ◽  
Low Risk ◽  
Colorectal Adenomas ◽  
Colorectal Carcinogenesis ◽  
Sporadic Colorectal Cancer ◽  
Molecular Features ◽  
Colorectal Cancer Patients

Sporadic colorectal cancer is characterized by a multistep progression from normal epithelium to precancerous low-risk and high-risk adenomas to invasive cancer. Yet, the underlying molecular mechanisms of colorectal carcinogenesis are not completely understood. Within the “Metabolomic profiles throughout the continuum of colorectal cancer” (MetaboCCC) consortium we analyzed data generated by untargeted, mass spectrometry-based metabolomics using plasma from 88 colorectal cancer patients, 200 patients with high-risk adenomas and 200 patients with low-risk adenomas recruited within the “Colorectal Cancer Study of Austria” (CORSA). Univariate logistic regression models comparing colorectal cancer to adenomas resulted in 442 statistically significant molecular features. Metabolites discriminating colorectal cancer patients from those with adenomas in our dataset included acylcarnitines, caffeine, amino acids, glycerophospholipids, fatty acids, bilirubin, bile acids and bacterial metabolites of tryptophan. The data obtained discovers metabolite profiles reflecting metabolic differences between colorectal cancer and colorectal adenomas and delineates a potentially underlying biological interpretation.

scholarly journals Reduced Plasma Levels of Very-Long-Chain Dicarboxylic Acid 28:4 in Italian and Brazilian Colorectal Cancer Patient Cohorts

Metabolites ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 91 ◽  
Author(s):  
Paul Wood ◽  
Michelle Donohue ◽  
John Cebak ◽  
Taylor Beckmann ◽  
Márcia Messias ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dicarboxylic Acid ◽  
Cancer Patients ◽  
Plasma Levels ◽  
High Resolution Mass Spectrometry ◽  
Sporadic Colorectal Cancer ◽  
Inherited Susceptibility ◽  
Potential Biomarker ◽  
Colorectal Cancer Patients ◽  
Long Chain

Background: There are currently no blood-based biomarkers for early diagnosis of colorectal cancer. Previous research has suggested that very-long-chain dicarboxylic acid (VLCDCA) 28:4 might be such a biomarker. Methods: Using high-resolution mass spectrometry, we analyzed VLCDCA 28:4 in the plasma of colorectal cancer patients in Italian [n = 62] and Brazilian [n = 52] cohorts. Additionally, we investigated individuals diagnosed with familial adenomatous polyposis (FAP; n = 27), one of the most important clinical forms of inherited susceptibility to colorectal cancer. Results: Decrements in plasma levels of VLCDCA 28:4 were monitored in colorectal cancer patients. These decreases were independent of the stage of tumor development and the individual’s age. However, no decrements in VLCDCA 28:4 were monitored in FAP patients. Conclusions: The plasma levels of VLCDCA 28:4 represent a potential biomarker of sporadic colorectal cancer. In addition, it is possible that resupply of this anti-inflammatory lipid may represent a new therapeutic strategy for CRC and inflammatory disorders.

scholarly journals Detection of c-Ki-ras mutations in faecal samples from sporadic colorectal cancer patients.

Gut ◽  
1995 ◽  
Vol 36 (1) ◽  
pp. 81-86 ◽  
Author(s):  
J Smith-Ravin ◽  
J England ◽  
I C Talbot ◽  
W Bodmer
Keyword(s):  
Colorectal Cancer ◽  
Cancer Patients ◽  
Sporadic Colorectal Cancer ◽  
Ras Mutations ◽  
Faecal Samples ◽  
Colorectal Cancer Patients

scholarly journals Stage IV Colorectal Cancer Patients with High Risk Mutation Profiles Survived 16 Months Longer with Individualized Therapies

Cancers ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 393
Author(s):  
Alexander Hendricks ◽  
Anu Amallraja ◽  
Tobias Meißner ◽  
Peter Forster ◽  
Philip Rosenstiel ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Clinical Practice ◽  
High Risk ◽  
Metastatic Colorectal Cancer ◽  
Cancer Patients ◽  
Standard Of Care ◽  
High Risk Patients ◽  
Risk Patients ◽  
Individualized Treatments ◽  
Colorectal Cancer Patients

Personalized treatment vs. standard of care is much debated, especially in clinical practice. Here we investigated whether overall survival differences in metastatic colorectal cancer patients are explained by tumor mutation profiles or by treatment differences in real clinical practice. Our retrospective study of metastatic colorectal cancer patients of confirmed European ancestry comprised 54 Americans and 54 gender-matched Germans. The Americans received standard of care, and on treatment failure, 35 patients received individualized treatments. The German patients received standard of care only. Tumor mutations, tumor mutation burden and microsatellite status were identified by using the FoundationOne assay or the IDT Pan-Cancer assay. High-risk patients were identified according to the mutational classification by Schell and colleagues. Results: Kaplan–Meier estimates show the high-risk patients to survive 16 months longer under individualized treatments than those under only standard of care, in the median (p < 0.001). Tumor mutation profiles stratify patients by risk groups but not by country. Conclusions: High-risk patients appear to survive significantly longer (p < 0.001) if they receive individualized treatments after the exhaustion of standard of care treatments. Secondly, the tumor mutation landscape in Americans and Germans is congruent and thus warrants the transatlantic exchange of successful treatment protocols and the harmonization of guidelines.

Development and validation of a robust prognostic and predictive signature for colorectal cancer (CRC) patients

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 4036-4036
Author(s):  
A. M. Glas ◽  
P. Roepman ◽  
R. Salazar ◽  
G. Capella ◽  
V. Moreno ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Colon Cancer ◽  
High Risk ◽  
Adjuvant Chemotherapy ◽  
Cancer Patients ◽  
Gene Signature ◽  
Low Risk ◽  
Stage Ii ◽  
Significant Difference ◽  
Independent Cohort

4036 Background: Between 25 and 35% of stage II CRC patients will experience a recurrence of their disease and may benefit from adjuvant chemotherapy. Official guidelines give suggestions but no clear recommendation for best risk stratification. Here we describe the development a robust signature that predicts disease relapse and can assist in treatment decisions. Methods: Fresh frozen tumor tissues from 180 patients with stage I, II and III colorectal cancer undergoing surgery were analyzed using high density Agilent 44K oligonucleotide arrays. Median FU was 70.2 months; 85% of patients did not receive adjuvant chemotherapy. Unsupervised hierarchical clustering based on full-genome gene expression measurement indicated the existence of 3 main colon molecular subclasses. Survival analysis of the 3 classes showed that subtype C (n= 27) had a poor outcome and subtype A (n= 48) good outcome. Only the intermediate group B (n=104) was used to develop a signature by using a cross validation procedure to score all genes for their association with 5-yr distant metastasis free survival (DMFS) and subsequently applied to all samples (n=180). The obtained gene signature was further validated on an independent cohort of 178 stage II + III colon samples. Results: A set of 38 prognosis related gene probes showed robust DMFS association in over 50% of all iterations in the Training Set of 180 samples. The gene signature was validated on an independent cohort of 178 samples from stage II + III colon cancer patients. The profile classified 61% of the validation samples as low-risk and 39% as high-risk. The low- and high-risk samples showed a significant difference in DMFS with a HR of 3.19 (P= 8.5e-4). Five-year DMFS rates were 89% (95%CI 83–95) for low-risk and 62% (95%CI 50–77) for high-risk samples. Moreover, the profile showed a significant performance within stage II (P=0.0058) and III (P=0.036) only samples. The performance of the profile was significant for both untreated (P=0.0082) and treated patients (P=0.016) suggesting that its power is independent of treatment benefits. Conclusions: ColoPrint is able to predict the prognosis of stage II and III colon cancer patients and facilitates the identification of patients who would benefit from adjuvant chemotherapy. [Table: see text]

18 F-FDG PET/contrast enhanced CT in the standard surveillance of high risk colorectal cancer patients

2014 ◽  
Vol 83 (12) ◽  
pp. 2224-2230 ◽  
Author(s):  
Germán Andrés Jiménez Londoño ◽  
Ana María García Vicente ◽  
Victoria Sánchez Pérez ◽  
Fátima Jiménez Aragón ◽  
Alberto León Martin ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
High Risk ◽  
Cancer Patients ◽  
Fdg Pet ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Enhanced Ct ◽  
Colorectal Cancer Patients
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