Architecture of inherited susceptibility to colorectal cancer: a voyage of discovery

Finding relationships among biological entities

Confusion over the concepts of “relationships” and “similarities” lies at the heart of many battles over the direction and intent of research projects. Here is a short story that demonstrates the difference between the two concepts: You look up at the clouds, and you begin to see the shape of a lion. The cloud has a tail, like a lion’s tale, and a fluffy head, like a lion’s mane. With a little imagination the mouth of the lion seems to roar down from the sky. You have succeeded in finding similarities between the cloud and a lion. If you look at a cloud and you imagine a tea kettle producing a head of steam and you recognize that the physical forces that create a cloud and the physical forces that produced steam from a heated kettle are the same, then you have found a relationship. Most popular classification algorithms operate by grouping together data objects that have similar properties or values. In so doing, they may miss finding the true relationships among objects. Traditionally, relationships among data objects are discovered by an intellectual process. In this chapter, we will discuss the scientific gains that come when we classify biological entities by relationships, not by their similarities.

Linkage analysis revealed risk loci on 6p21 and 18p11.2-q11.2 in familial colon and rectal cancer, respectively

Colorectal cancer (CRC) is one of the major cancer types in the western world including Sweden. However, known genetic risk factors could only explain a limited part of heritability of the disease. Moreover, colon and rectal cancers are habitually discussed as one entity, colorectal cancer, although different carcinogenesis has been recognized. A genome-wide linkage scan in 32 colon- and 56 rectal cancer families from Sweden was performed based on 475 non-FAP/HNPCC patients genotyped using SNP arrays. A maximum HLOD of 2.50 at locus 6p21.1-p12.1 and a HLOD of 2.56 at 18p11.2 was obtained for colon and rectal cancer families, respectively. Exome sequencing over the regions of interest in 12 patients from six families identified 22 and 25 candidate risk variants for colon and rectal cancer, respectively. Haplotype association analysis in the two regions was carried out between additional 477 familial CRC cases and 4780 controls and suggested candidate haplotypes possibly associated with CRC risk. This study suggested two new linkage regions for colon cancer and rectal cancer with candidate predisposing variants. Further studies are required to elucidate the pathogenic mechanism of these regions and to pinpoint the causative genes.

Review of economic evaluations of teleophthalmology as a screening strategy for chronic eye disease in adults

BACKGROUND/AIMS

Teleophthalmology is well positioned to play a key role in screening of major chronic eye diseases. Economic evaluation of cost-effectiveness of teleophthalmology, however, is lacking. This study provides a systematic review of economic studies of teleophthalmology screening for diabetic retinopathy (DR), glaucoma and macular degeneration.

METHODS

Structured search of electronic databases and full article review yielded 20 cost-related articles. Sixteen articles fulfilled the inclusion criteria and were retained for a narrative review: 12 on DR, 2 on glaucoma and 2 on chronic eye disease.

RESULTS

Teleophthalmology for DR yielded the most cost savings when compared with traditional clinic examination. The study settings varied among urban, rural and remote settings, community, hospital and health mobile units. The most important determinant of cost-effectiveness of teleophthalmology was the prevalence of DR among patients screened, indicating an increase of cost savings with the increase of screening rates. The required patient pool size to be screened varied from 110 to 3500 patients. Other factors potentially influencing cost-effectiveness of teleophthalmology were older patient age, regular screening and full utilisation of the equipment. Teleophthalmology for glaucoma was more cost-effective compared with in-person examination. Similarly, increasing number of glaucoma patients targeted for screening yielded more cost savings.

CONCLUSIONS

This economic review provides supportive evidence of cost-effectiveness of teleophthalmology for DR and glaucoma screening potentially increasing screening accessibility especially for rural and remote populations. Special selection of the targeted screening population will optimise the cost-effectiveness of teleophthalmology.

Multiple Gene-Environment Interactions on the Angiogenesis Gene-Pathway Impact Rectal Cancer Risk and Survival

Characterization of gene-environment interactions (GEIs) in cancer is limited. We aimed at identifying GEIs in rectal cancer focusing on a relevant biologic process involving the angiogenesis pathway and relevant environmental exposures: cigarette smoking, alcohol consumption, and animal protein intake. We analyzed data from 747 rectal cancer cases and 956 controls from the Diet, Activity and Lifestyle as a Risk Factor for Rectal Cancer study. We applied a 3-step analysis approach: first, we searched for interactions among single nucleotide polymorphisms on the pathway genes; second, we searched for interactions among the genes, both steps using Logic regression; third, we examined the GEIs significant at the 5% level using logistic regression for cancer risk and Cox proportional hazards models for survival. Permutation-based test was used for multiple testing adjustment. We identified 8 significant GEIs associated with risk among 6 genes adjusting for multiple testing: TNF (OR = 1.85, 95% CI: 1.10, 3.11), TLR4 (OR = 2.34, 95% CI: 1.38, 3.98), and EGR2 (OR = 2.23, 95% CI: 1.04, 4.78) with smoking; IGF1R (OR = 1.69, 95% CI: 1.04, 2.72), TLR4 (OR = 2.10, 95% CI: 1.22, 3.60) and EGR2 (OR = 2.12, 95% CI: 1.01, 4.46) with alcohol; and PDGFB (OR = 1.75, 95% CI: 1.04, 2.92) and MMP1 (OR = 2.44, 95% CI: 1.24, 4.81) with protein. Five GEIs were associated with survival at the 5% significance level but not after multiple testing adjustment: CXCR1 (HR = 2.06, 95% CI: 1.13, 3.75) with smoking; and KDR (HR = 4.36, 95% CI: 1.62, 11.73), TLR2 (HR = 9.06, 95% CI: 1.14, 72.11), EGR2 (HR = 2.45, 95% CI: 1.42, 4.22), and EGFR (HR = 6.33, 95% CI: 1.95, 20.54) with protein. GEIs between angiogenesis genes and smoking, alcohol, and animal protein impact rectal cancer risk. Our results support the importance of considering the biologic hypothesis to characterize GEIs associated with cancer outcomes.

Variation at 2q35 (PNKD and TMBIM1) influences colorectal cancer risk and identifies a pleiotropic effect with inflammatory bowel disease

To identify new risk loci for colorectal cancer (CRC), we conducted a meta-analysis of seven genome-wide association studies (GWAS) with independent replication, totalling 13 656 CRC cases and 21 667 controls of European ancestry. The combined analysis identified a new risk association for CRC at 2q35 marked by rs992157 (P = 3.15 × 10-8, odds ratio = 1.10, 95% confidence interval = 1.06-1.13), which is intronic to PNKD (paroxysmal non-kinesigenic dyskinesia) and TMBIM1 (transmembrane BAX inhibitor motif containing 1). Intriguingly this susceptibility single-nucleotide polymorphism (SNP) is in strong linkage disequilibrium (r2 = 0.90, D' = 0.96) with the previously discovered GWAS SNP rs2382817 for inflammatory bowel disease (IBD). Following on from this observation we examined for pleiotropy, or shared genetic susceptibility, between CRC and the 200 established IBD risk loci, identifying an additional 11 significant associations (false discovery rate [FDR]) < 0.05). Our findings provide further insight into the biological basis of inherited genetic susceptibility to CRC, and identify risk factors that may influence the development of both CRC and IBD.

A Candidate-Pathway Approach to Identify Gene-Environment Interactions: Analyses of Colon Cancer Risk and Survival

BACKGROUND

Genetic association studies have traditionally focused on associations between individual single nucleotide polymorphisms (SNPs) and disease. Standard analysis ignores interactions between multiple SNPs and environmental exposures explaining a small portion of disease heritability: the often-cited issue of "missing heritability."

METHODS

We present a novel three-step analytic framework for modeling gene-environment interactions (GEIs) between an angiogenesis candidate-gene pathway and three lifestyle exposures (dietary protein, smoking, and alcohol consumption) on colon cancer risk and survival. Logic regression was used to summarize the gene-pathway effects, and GEIs were modeled using logistic regression and Cox proportional hazards models. We analyzed data from 1541 colon cancer case patients and 1934 control subjects in the Diet, Activity and Lifestyle as a Risk Factor for Colon Cancer Study.

RESULTS

We identified five statistically significant GEIs for colon cancer risk. For risk interaction, odds ratios (ORINT) and 95% confidence intervals (CIs) were FLT1(rs678714) and BMP4(rs17563) and smoking (ORINT = 1.64, 95% CI = 1.11 to 2.41 and ORINT = 1.60, 95% CI = 1.10 to 2.32, respectively); FLT1(rs2387632 OR rs9513070) and protein intake (ORINT = 1.69, 95% CI = 1.03 to 2.77); KDR(rs6838752) and TLR2(rs3804099) and alcohol (ORINT = 1.53, 95% CI = 1.10 to 2.13 and ORINT = 1.59, 95% CI = 1.05 to 2.38, respectively). Three GEIs between TNF, BMP1, and BMPR2 genes and the three exposures were statistically significant at the 5% level in relation to colon cancer survival but not after multiple-testing adjustment.

CONCLUSIONS

Adopting a comprehensive biologically informed candidate-pathway approach identified GEI effects on colon cancer. Findings may have important implications for public health and personalized medicine targeting prevention and therapeutic strategies. Findings from this study need to be validated in other studies.