Cancer cachexia is a chronic wasting syndrome characterised by loss of weight, composed principally of muscle and fat. Patients with advanced cachexia demonstrate loss of appetite, early satiety, severe weight loss, weakness, anaemia and fluid retention. Affected individuals are also likely to report/experience decreased quality of life, decreased levels of physical performance, increased levels of fatigue, increased risks of treatment failure (be it chemotherapy, radiotherapy or surgery), increased risks of treatment side effects, and an increased mortality rate. Cachexia is therefore an extremely important, yet often underappreciated cause of cancer patient morbidity and mortality which requires urgent attention. Weight loss is significantly associated with cancer morbidity and mortality. It has been observed that half of all cancer patients experience weight loss and one-third lose more than 5% of their original body weight. Skeletal muscle loss appears to be the most significant event in cachexia and is associated with a poor outcome. However it is not known why some patients with the same tumour lose weight and muscle mass whilst others do not. The main aim of this thesis was to determine if the genetic makeup of individual patients might contribute to their propensity to lose weight or skeletal muscle. Previous studies had suggested an association between weight loss and SNPs on genes concerned with innate immunity and particularly the cell adhesion molecule Pselectin, however the strength of any gene association study depends on the precision with which it is possible to characterise the phenotype in question. A second aim of this thesis was to explore refining the clinical phenotyping of patients to discriminate those with evidence of muscle fibre atrophy versus those without. Phenotype The conventional phenotype for cachexia is weight loss (WL) but it is unknown the extent to which loss of body mass reflects loss of muscle or fat mass. Recent progress in cross sectional imaging analysis means that it is now possible to gain a direct measure of muscle mass from routine diagnostic CT scanning. However, in the absence of a longitudinal series of scans it is not possible to estimate whether low muscularity (LM) is longstanding or not. By combining a measure of active weight loss with low muscularity it was hoped that such a composite measure would reflect actual muscle loss/fibre atrophy. Compared with non-cachectic cancer patients, patients with LM or LM+ > 2%WL, mean muscle fibre diameter was reduced by about 25% (p = 0.02 and p = 0.001 respectively). No significant difference in muscle fibre diameter was observed if patients had WL alone. Regardless of classification, there was no difference in fibre number or proportion of fibre type across all myosin heavy chain isoforms. Mean muscle protein content was reduced and the ratio of RNA/DNA decreased in patients with either > 5%WL or LM+ > 2%WL. These findings support the use of composite measures (WL and LM) to try and identify those patients with evidence of active muscle fibre atrophy. This novel clinical phenotyping provides an accurate method to enable the conduct of candidate gene studies in the investigation of the genetics of cancer cachexia where the primary focus is on muscle wasting rather than overall weight loss. Genotype In an ideal world it would be possible to explore the entire genome and look for associations with the different phenotypes of cachexia. However, to do so would require considerable resource in terms of the cost of genome wide analysis and the cost of phenotyping large enough cohorts of patients (3000-10000). To address these issues I therefore adopted a candidate gene approach. A total of 154 genes associated with cancer cachexia were identified and explored for associated polymorphisms. Of these 154 genes, 119 had a combined total of 281 polymorphisms with functional and/or clinical significance in terms of cachexia associated with them. Of these, 80 polymorphisms (in 51 genes) were replicated in more than one study with 24 polymorphisms found to influence two or more hallmarks of cachexia (i.e. inflammation, loss of fat mass and/or lean mass and reduced survival). Such election of candidate genes and polymorphisms is a key element of multigene study design. The systematic review provides a contemporary basis to select genes and/or polymorphisms for further association studies in cancer cachexia, and to develop their potential as susceptibility biomarkers of cachexia. Phenotype – genotype associations A total of 1276 patients were recruited, phenotyped and genotyped. There were 545 new patients and 731 patients from a previous study. In our new cohort and in keeping with the previous literature, patients who carried the C allele of the rs6136 SNP in the SELP gene, were at a reduced risk of developing cachexia defined by WL. This association applied to all degrees of weight loss ( > 5%, > 10% or > 15%), and not just at the > 10% level as described previously in the literature. When examining newly identified SNPs in a stage 1 analysis for the weight loss phenotype that included 1276 cancer patients, twelve new candidate SNPs were significant. Six of these SNPs are associated with muscle metabolism in five genes (IGF1, CPN1, FOXO1, FOXO3, and ACVR2B), three are associated with adipose tissue metabolism in two genes (LEPR and TOMM40 (APOE on the reverse strand)), two with corticosteroid signalling in one gene (IFT172 (GCKR on the reverse strand)) and one with the immune response in one gene (TLR4). Two polymorphisms (rs1935949 and rs4946935) in the gene encoding for FOXO3 were consistently associated with WL of increasing severity ( > 5% and > 10%). On the basis that WL is a continuum in the cachectic process, the observation that both SELP and FOXO3 associate with the higher degrees of WL suggests that these genetic signatures may be of particular significance. The role of P-selectin in the genesis of cachexia remains to be determined. When examining all SNPs in a stage 1 analysis for the LM phenotype, 5 SNPs were associated significantly with the cachexia phenotype: (i) rs4291 in the angiotensin converting enzyme (ACE) gene in chromosome 17; this gene has been associated with muscle function and metabolism; (ii) rs10636 in chromosome 16 in the metallothionein 2a gene; this gene has been shown to be involved in zinc dyshomeostasis which may contribute to cancer cachexia; (iii) rs1190584 in chromosome 14 in the WDR20 gene; this gene encodes a WD repeat-containing protein that functions to preserve and regulate the activity of the USP12-UAF1 deubiquitinating enzyme complex; (iv) rs3856806 in the peroxisome proliferator-activated receptor gamma (PPARG) gene in chromosome 3 which has been demonstrated to be involved in fatty acid and glucose metabolism; and (v) rs3745012 in chromosome 18 in the lipin 2 (LPIN2) gene; this gene represents a candidate gene for human lipodystrophy, characterised by loss of body fat, fatty liver, hypertriglyceridemia, and insulin resistance. When examining all SNPs in a stage 1 analysis for the LM + > 2%WL phenotype 4 SNPs were associated significantly with the cachexia phenotype. rs12409877 in the leptin receptor (LEPR) located on chromosome 3, LEPR binds leptin and is involved in adipose tissue regulation. rs2268757 located in the activin receptor type-2B (ACVR2B) gene on chromosome 3, ACVR2B is a high affinity activin type 2 receptor which mediates signalling by a subset of TGF-β family ligands including myostatin, activin, GDF11 and others. SNPs in the tumour necrosis factor (TNF) (rs1799964) and ACE (rs4291) genes were also significantly associated with the phenotype. Whether genes demonstrating significant associations with the cachexia phenotypes had altered transcript expression in muscle from cancer patients with or without those phenotypes was also investigated.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:721249 |
| Date | January 2016 |
| Creators | Johns, Neil |
| Contributors | Fearon, Kenneth |
| Publisher | University of Edinburgh |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://hdl.handle.net/1842/23392 |
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