Prediction Models Help Identify Increased Risk of Gene Mutation Associated with Colorectal Cancer

2006 ◽  
Vol 28 (23) ◽  
pp. 46-49
Author(s):  
Heather Lindsey
Keyword(s):  
Colorectal Cancer ◽  
Gene Mutation ◽  
Prediction Models ◽  
Increased Risk

scholarly journals Development and validation of a predictive model for detection of colorectal cancer in primary care by analysis of complete blood counts: a binational retrospective study

2016 ◽  
Vol 23 (5) ◽  
pp. 879-890 ◽  
Author(s):  
Yaron Kinar ◽  
Nir Kalkstein ◽  
Pinchas Akiva ◽  
Bernard Levin ◽  
Elizabeth E Half ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Primary Care ◽  
Odds Ratio ◽  
Prediction Models ◽  
False Positive Rate ◽  
Area Under The Curve ◽  
Deficiency Anemia ◽  
Fecal Occult Blood ◽  
Increased Risk ◽  
Validation Set

Abstract Objective The use of risk prediction models grows as electronic medical records become widely available. Here, we develop and validate a model to identify individuals at increased risk for colorectal cancer (CRC) by analyzing blood counts, age, and sex, then determine the model’s value when used to supplement conventional screening. Materials and Methods Primary care data were collected from a cohort of 606 403 Israelis (of whom 3135 were diagnosed with CRC) and a case control UK dataset of 5061 CRC cases and 25 613 controls. The model was developed on 80% of the Israeli dataset and validated using the remaining Israeli and UK datasets. Performance was evaluated according to the area under the curve, specificity, and odds ratio at several working points. Results Using blood counts obtained 3–6 months before diagnosis, the area under the curve for detecting CRC was 0.82 ± 0.01 for the Israeli validation set. The specificity was 88 ± 2% in the Israeli validation set and 94 ± 1% in the UK dataset. Detecting 50% of CRC cases, the odds ratio was 26 ± 5 and 40 ± 6, respectively, for a false-positive rate of 0.5%. Specificity for 50% detection was 87 ± 2% a year before diagnosis and 85 ± 2% for localized cancers. When used in addition to the fecal occult blood test, our model enabled more than a 2-fold increase in CRC detection. Discussion Comparable results in 2 unrelated populations suggest that the model should generally apply to the detection of CRC in other groups. The model’s performance is superior to current iron deficiency anemia management guidelines, and may help physicians to identify individuals requiring additional clinical evaluation. Conclusions Our model may help to detect CRC earlier in clinical practice.

scholarly journals A Prediction Model for Severe Complications after Elective Colorectal Cancer Surgery in Patients of 70 Years and Older

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3110
Author(s):  
Esteban T. D. Souwer ◽  
Esther Bastiaannet ◽  
Ewout W. Steyerberg ◽  
Jan Willem T. Dekker ◽  
Willem H. Steup ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Prediction Model ◽  
Older Patients ◽  
Model Building ◽  
Prediction Models ◽  
Elective Surgery ◽  
Patient Specific ◽  
Colorectal Cancer Surgery ◽  
Internal Validation ◽  
Increased Risk

Introduction Older patients have an increased risk of morbidity and mortality after colorectal cancer (CRC) surgery. Existing CRC surgical prediction models have not incorporated geriatric predictors, limiting applicability for preoperative decision-making. The objective was to develop and internally validate a predictive model based on preoperative predictors, including geriatric characteristics, for severe postoperative complications after elective surgery for stage I–III CRC in patients ≥70 years. Patients and Methods: A prospectively collected database contained 1088 consecutive patients from five Dutch hospitals (2014–2017) with 171 severe complications (16%). The least absolute shrinkage and selection operator (LASSO) method was used for predictor selection and prediction model building. Internal validation was done using bootstrapping. Results: A geriatric model that included gender, previous DVT or pulmonary embolism, COPD/asthma/emphysema, rectal cancer, the use of a mobility aid, ADL assistance, previous delirium and polypharmacy showed satisfactory discrimination with an AUC of 0.69 (95% CI 0.73–0.64); the AUC for the optimism corrected model was 0.65. Based on these predictors, the eight-item colorectal geriatric model (GerCRC) was developed. Conclusion: The GerCRC is the first prediction model specifically developed for older patients expected to undergo CRC surgery. Combining tumour- and patient-specific predictors, including geriatric predictors, improves outcome prediction in the heterogeneous older population.

The Role of Revascularisation in Patients Undergoing Non-cardiac Surgery

2010 ◽  
Vol 5 (1) ◽  
pp. 104
Author(s):  
Daniel S Menees ◽  
Eric R Bates ◽  
◽  
Keyword(s):  
Cardiac Surgery ◽  
Prediction Models ◽  
Cardiovascular Complications ◽  
Weight Of Evidence ◽  
Beta Blockade ◽  
Cardiac Morbidity ◽  
Increased Risk ◽  
Reduction Strategies ◽  
Artery Disease ◽  
Risk Reduction Strategies

Coronary artery disease (CAD) affects millions of US citizens. As the population ages, an increasing number of people with CAD are undergoing non-cardiac surgery and face significant peri-operative cardiac morbidity and mortality. Risk-prediction models can be used to help identify those patients at increased risk of peri-operative cardiovascular complications. Risk-reduction strategies utilising pharmacotherapy with beta blockade and statins have shown the most promise. Importantly, the benefit of prophylactic coronary revascularisation has not been demonstrated. The weight of evidence suggests reserving either percutaneous or surgical revascularisation in the pre-operative setting for those patients who would otherwise meet independent revascularisation criteria.

scholarly journals Su1228 Increased Risk of Colorectal Cancer in Patients With Prior Ovarian Cancer Diagnosis: A Population Based US Study

2014 ◽  
Vol 146 (5) ◽  
pp. S-408
Author(s):  
Yezaz A. Ghouri ◽  
Sachin Batra ◽  
Nirav C. Thosani ◽  
Sushovan Guha
Keyword(s):  
Colorectal Cancer ◽  
Ovarian Cancer ◽  
Cancer Diagnosis ◽  
Population Based ◽  
Increased Risk

scholarly journals Consumption of Lactose, Other FODMAPs and Diarrhoea during Adjuvant 5-Fluorouracil Chemotherapy for Colorectal Cancer

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 407
Author(s):  
Reetta Holma ◽  
Reijo Laatikainen ◽  
Helena Orell ◽  
Heikki Joensuu ◽  
Katri Peuhkuri ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Adjuvant Therapy ◽  
Gastrointestinal Symptoms ◽  
Mucosal Injury ◽  
Dietary Carbohydrates ◽  
Food Diary ◽  
High Consumption ◽  
Increased Risk ◽  
Symptom Diary ◽  
Low Consumption

Chemotherapy-induced mucosal injury of the small intestine may interfere with the enzymes and transporters responsible for the hydrolysis and absorption of dietary carbohydrates causing diarrhoea, abdominal discomfort and pain. The aim of this study was to investigate the association between the consumption of foods rich in FODMAPs (fermentable oligo-, di- and monosaccharides and polyols) and gastrointestinal symptoms in patients receiving adjuvant therapy for colorectal cancer. The patients (n = 52) filled in a 4-day food diary at baseline and during therapy and kept a symptom diary. The intakes of FODMAP-rich foods were calculated as portions and the intakes were divided into two consumption categories. Patients with high consumption of FODMAP-rich foods had diarrhoea more frequently than those with low consumption (for lactose-rich foods the odds ratio (OR) was 2.63, P = 0.03; and for other FODMAP-rich foods 1.82, P = 0.20). Patients with high consumption of both lactose-rich and other FODMAP-rich foods had an over 4-fold risk of developing diarrhoea as compared to those with low consumption of both (OR, 4.18; P = 0.02). These results were confirmed in multivariate models. Conclusion: Consumption of lactose-rich foods results in an increased risk of diarrhoea during adjuvant therapy for colorectal cancer, especially when the consumption of other FODMAP-rich foods is also high.

scholarly journals Rare Germline Pathogenic Variants Identified by Multigene Panel Testing and the Risk of Aggressive Prostate Cancer

Cancers ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1495
Author(s):  
Tú Nguyen-Dumont ◽  
James G. Dowty ◽  
Robert J. MacInnis ◽  
Jason A. Steen ◽  
Moeen Riaz ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Prediction ◽  
Prediction Models ◽  
Risk Prediction Models ◽  
Aggressive Prostate Cancer ◽  
Panel Testing ◽  
Pathogenic Variants ◽  
Increased Risk ◽  
Predisposition Genes ◽  
Rare Genetic Variants

While gene panel sequencing is becoming widely used for cancer risk prediction, its clinical utility with respect to predicting aggressive prostate cancer (PrCa) is limited by our current understanding of the genetic risk factors associated with predisposition to this potentially lethal disease phenotype. This study included 837 men diagnosed with aggressive PrCa and 7261 controls (unaffected men and men who did not meet criteria for aggressive PrCa). Rare germline pathogenic variants (including likely pathogenic variants) were identified by targeted sequencing of 26 known or putative cancer predisposition genes. We found that 85 (10%) men with aggressive PrCa and 265 (4%) controls carried a pathogenic variant (p < 0.0001). Aggressive PrCa odds ratios (ORs) were estimated using unconditional logistic regression. Increased risk of aggressive PrCa (OR (95% confidence interval)) was identified for pathogenic variants in BRCA2 (5.8 (2.7–12.4)), BRCA1 (5.5 (1.8–16.6)), and ATM (3.8 (1.6–9.1)). Our study provides further evidence that rare germline pathogenic variants in these genes are associated with increased risk of this aggressive, clinically relevant subset of PrCa. These rare genetic variants could be incorporated into risk prediction models to improve their precision to identify men at highest risk of aggressive prostate cancer and be used to identify men with newly diagnosed prostate cancer who require urgent treatment.

37 Monitoring the evolution of inflammatory bowel disease (IBD) in pediatric and adult cohorts of patients to identify biomarkers to predict cancer risk

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A38-A38
Author(s):  
Shilpa Ravindran ◽  
Heba Sidahmed ◽  
Harshitha Manjunath ◽  
Rebecca Mathew ◽  
Tanwir Habib ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Gene Expression ◽  
Colorectal Cancer ◽  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
Mesenchymal Transition ◽  
Increased Risk ◽  
Hamad Medical Corporation ◽  
Inflammatory Bowel ◽  
Left And Right

BackgroundPatients with inflammatory bowel disease (IBD) have increased risk of developing colorectal cancer (CRC), depending on the duration and severity of the disease. The evolutionary process in IBD is driven by chronic inflammation leading to epithelial-to-mesenchymal transition (EMT) events in colonic fibrotic areas. EMT plays a determinant role in tumor formation and progression, through the acquisition of ‘stemness’ properties and the generation of neoplastic cells. The aim of this study is to monitor EMT/cancer initiating tracts in IBD in association with the deep characterization of inflammation in order to assess the mechanisms of IBD severity and progression towards malignancy.Methods10 pediatric and 20 adult IBD patients, admitted at Sidra Medicine (SM) and Hamad Medical Corporation (HMC) respectively, have been enrolled in this study, from whom gut tissue biopsies (from both left and right side) were collected. Retrospectively collected tissues (N=10) from patients with malignancy and history of IBD were included in the study. DNA and RNA were extracted from fresh small size (2–4 mm in diameter) gut tissues using the BioMasher II (Kimble) and All Prep DNA/RNA kits (Qiagen). MicroRNA (miRNA; N=700) and gene expression (N=800) profiling have been performed (cCounter platform; Nanostring) as well as the methylation profiling microarray (Infinium Methylation Epic Bead Chip kit, Illumina) to interrogate up to 850,000 methylation sites across the genome.ResultsDifferential miRNA profile (N=27 miRNA; p<0.05) was found by the comparison of tissues from pediatric and adult patients. These miRNAs regulate: i. oxidative stress damage (e.g., miR 99b), ii. hypoxia induced autophagy; iii. genes associated with the susceptibility to IBD (ATG16L1, NOD2, IRGM), iv. immune responses, such as TH17 T cell subset (miR 29). N=6 miRNAs (miR135b, 10a196b, 125b, let7c, 375) linked with the regulation of Wnt/b-catenin, EM-transaction, autophagy, oxidative stress and play role also in cell proliferation and mobilization and colorectal cancer development were differentially expressed (p<0.05) in tissues from left and right sides of gut. Gene expression signature, including genes associated with inflammation, stemness and fibrosis, has also been performed for the IBD tissues mentioned above. Methylation sites at single nucleotide resolution have been analyzed.ConclusionsAlthough the results warrant further investigation, differential genomic profiling suggestive of altered pathways involved in oxidative stress, EMT, and of the possible stemness signature was found. The integration of data from multiple platforms will provide insights of the overall molecular determinants in IBD patients along with the evolution of the disease.Ethics ApprovalThis study was approved by Sidra Medicine and Hamad Medical Corporation Ethics Boards; approval number 180402817 and MRC-02-18-096, respectively.

scholarly journals Early postoperative pain as a marker of anastomotic leakage in colorectal cancer surgery

2021 ◽  
Author(s):  
Petrus Boström ◽  
Johan Svensson ◽  
Camilla Brorsson ◽  
Martin Rutegård
Keyword(s):  
Colorectal Cancer ◽  
Postoperative Pain ◽  
Colorectal Surgery ◽  
Anastomotic Leakage ◽  
Rating Scale ◽  
Numerical Rating Scale ◽  
Population Based ◽  
Colorectal Cancer Surgery ◽  
Increased Risk ◽  
Independent Marker

Abstract Purpose Even though anastomotic leakage after colorectal surgery is a major clinical problem in need of a timely diagnosis, early indicators of leakage have been insufficiently studied. We therefore conducted a population-based observational study to determine whether the patient’s early postoperative pain is an independent marker of anastomotic leakage. Methods By combining the Swedish Colorectal Cancer Registry and the Swedish Perioperative Registry, we retrieved prospectively collected data on 3084 patients who underwent anastomotic colorectal surgery for cancer in 2014–2017. Postoperative pain, measured with the numerical rating scale (NRS), was considered exposure, while anastomotic leakage and reoperation due to leakage were outcomes. We performed logistic regression to evaluate associations, estimating odds ratios (ORs) and 95% confidence intervals (CIs), while multiple imputation was used to handle missing data. Results In total, 189 patients suffered from anastomotic leakage, of whom 121 patients also needed a reoperation due to leakage. Moderate or severe postoperative pain (NRS 4–10) was associated with an increased risk of anastomotic leakage (OR 1.69, 95% CI 1.21–2.38), as well as reoperation (OR 2.17, 95% CI 1.41–3.32). Severe pain (NRS 8–10) was more strongly related to leakage (OR 2.38, 95% CI 1.44–3.93). These associations were confirmed in multivariable analyses and when reoperation due to leakage was used as an outcome. Conclusion In this population-based retrospective study on prospectively collected data, increased pain in the post-anaesthesia care unit is an independent marker of anastomotic leakage, possibly indicating a need for further diagnostic measures.

Prediction of 10-year and lifetime risk of cancer in individual patients with established cardiovascular disease, results from UCC-SMART and CANTOS

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C.C Van 't Klooster ◽  
P.M Ridker ◽  
N.R Cook ◽  
J.G.J.V Aerts ◽  
J Westerink ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Lung Cancer ◽  
Cancer Risk ◽  
Prediction Models ◽  
Funding Source ◽  
Cancer Models ◽  
Total Cancer ◽  
The Cantos ◽  
Risk Of Cancer

Abstract Background As treatment for cardiovascular disease (CVD) has improved substantially over the last decades, more patients survive acute CVD manifestations and are at risk for developing cancer as well as recurrent CVD. Due to similar risk factors, including smoking and obesity, patients with established CVD are at higher risk for cancer. Objectives The aim of this study was to develop and externally validate prediction models for the estimation of 10-year and lifetime risk for total, colorectal, and lung cancer in patients with established CVD. Methods Data from patients with established CVD from the UCC-SMART prospective cohort study (N=7,280) were used for model development, and data from the CANTOS trial (N=9,322) were used for model validation. Predictors were selected based on previously published cancer risk prediction models or cancer risk factors, easy clinical availability, and availability in the derivation dataset (UCC-SMART cohort). A Fine and Gray competing risk-adjusted lifetime model was developed for total, colorectal, and lung cancer. Results Selected predictors were age, sex, smoking status, weight, height, alcohol use, antiplatelet use, diabetes mellitus, and C-reactive protein. External calibration for 4-year risks of the total cancer, colorectal cancer, and lung cancer models was good (Figure 1), and C-statistics were 0.63–0.74 in the CANTOS trial population. Median predicted lifetime risks in CANTOS were 26% (range 1%-52%) for total cancer, 4% (range 0%-13%) for colorectal cancer, and 5% (range 0%-37%) for lung cancer. Conclusions Lifetime and 10-year risk of cancer can be estimated with easy to measure variables in patients with established CVD, showing a wide distribution of predicted lifetime risks for total cancer and lung cancer. Using these lifetime models in clinical practice could increase understanding of cancer risk and aid in emphasizing healthy lifestyle changes. Figure 1. Calibration plots of cancer models Funding Acknowledgement Type of funding source: Public hospital(s). Main funding source(s): University Medical Center; Additional funding: CANTOS trial was funded by Novartis Pharmaceuticals.

scholarly journals Choice of faecal immunochemical test matters: comparison of OC-Sensor and HM-JACKarc, in the assessment of patients at high risk of colorectal cancer

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Caroline J. Chapman ◽  
Ayan Banerjea ◽  
David J Humes ◽  
Jaren Allen ◽  
Simon Oliver ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Clinical Decision Making ◽  
Full Range ◽  
Clinical Decision ◽  
Detection Rates ◽  
Faecal Immunochemical Test ◽  
Specimen Collection ◽  
Increased Risk ◽  
Immunochemical Test

AbstractObjectivesCurrently, NICE recommends the use of faecal immunochemical test (FIT) at faecal haemoglobin concentrations (f-Hb) of 10 μg Hb/g faeces to stratify for colorectal cancer (CRC) risk in symptomatic populations. This f-Hb cut-off is advised across all analysers, despite the fact that a direct comparison of analyser performance, in a clinical setting, has not been performed.MethodsTwo specimen collection devices (OC-Sensor, OC-S; HM-JACKarc, HM-J) were sent to 914 consecutive individuals referred for follow up due to their increased risk of CRC. Agreement of f-Hb around cut-offs of 4, 10 and 150 µg Hb/g faeces and CRC detection rates were assessed. Two OC-S devices were sent to a further 114 individuals, for within test comparisons.ResultsA total of 732 (80.1%) individuals correctly completed and returned two different FIT devices, with 38 (5.2%) CRCs detected. Median f-Hb for individuals diagnosed with and without CRC were 258.5 and 1.8 µg Hb/g faeces for OC-S and 318.1 and 1.0 µg Hb/g faeces for HM-J respectively. Correlation of f-Hb results between OC-S/HM-J over the full range was rho=0.74, p<0.001. Using a f-Hb of 4 µg Hb/g faeces for both tests found an agreement of 88.1%, at 10 µg Hb/g faeces 91.7% and at 150 µg Hb/g faeces 96.3%. A total of 114 individuals completed and returned two OC-S devices; correlation across the full range was rho=0.98, p<0.001.ConclusionsWe found large variations in f-Hb when different FIT devices were used, but a smaller variation when the same FIT device was used. Our data suggest that analyser-specific f-Hb cut-offs are applied with regard to clinical decision making, especially at lower f-Hb.

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