Multi-cancer early detection test in symptomatic patients referred for cancer investigation in England and Wales (SYMPLIFY): a large-scale, observational cohort study.

BACKGROUND: Analysis of circulating tumour DNA could stratify cancer risk in symptomatic patients. We aimed to evaluate the performance of a methylation-based multicancer early detection (MCED) diagnostic test in symptomatic patients referred from primary care. METHODS: We did a multicentre, prospective, observational study at National Health Service (NHS) hospital sites in England and Wales. Participants aged 18 or older referred with non-specific symptoms or symptoms potentially due to gynaecological, lung, or upper or lower gastrointestinal cancers were included and gave a blood sample when they attended for urgent investigation. Participants were excluded if they had a history of or had received treatment for an invasive or haematological malignancy diagnosed within the preceding 3 years, were taking cytotoxic or demethylating agents that might interfere with the test, or had participated in another study of a GRAIL MCED test. Patients were followed until diagnostic resolution or up to 9 months. Cell-free DNA was isolated and the MCED test performed blinded to the clinical outcome. MCED predictions were compared with the diagnosis obtained by standard care to establish the primary outcomes of overall positive and negative predictive value, sensitivity, and specificity. Outcomes were assessed in participants with a valid MCED test result and diagnostic resolution. SYMPLIFY is registered with ISRCTN (ISRCTN10226380) and has completed follow-up at all sites. FINDINGS: 6238 participants were recruited between July 7 and Nov 30, 2021, across 44 hospital sites. 387 were excluded due to staff being unable to draw blood, sample errors, participant withdrawal, or identification of ineligibility after enrolment. Of 5851 clinically evaluable participants, 376 had no MCED test result and 14 had no information as to final diagnosis, resulting in 5461 included in the final cohort for analysis with an evaluable MCED test result and diagnostic outcome (368 [6·7%] with a cancer diagnosis and 5093 [93·3%] without a cancer diagnosis). The median age of participants was 61·9 years (IQR 53·4-73·0), 3609 (66·1%) were female and 1852 (33·9%) were male. The MCED test detected a cancer signal in 323 cases, in whom 244 cancer was diagnosed, yielding a positive predictive value of 75·5% (95% CI 70·5-80·1), negative predictive value of 97·6% (97·1-98·0), sensitivity of 66·3% (61·2-71·1), and specificity of 98·4% (98·1-98·8). Sensitivity increased with increasing age and cancer stage, from 24·2% (95% CI 16·0-34·1) in stage I to 95·3% (88·5-98·7) in stage IV. For cases in which a cancer signal was detected among patients with cancer, the MCED test's prediction of the site of origin was accurate in 85·2% (95% CI 79·8-89·3) of cases. Sensitivity 80·4% (95% CI 66·1-90·6) and negative predictive value 99·1% (98·2-99·6) were highest for patients with symptoms mandating investigation for upper gastrointestinal cancer. INTERPRETATION: This first large-scale prospective evaluation of an MCED diagnostic test in a symptomatic population demonstrates the feasibility of using an MCED test to assist clinicians with decisions regarding urgency and route of referral from primary care. Our data provide the basis for a prospective, interventional study in patients presenting to primary care with non-specific signs and symptoms. FUNDING: GRAIL Bio UK.

Genetic polymorphism of CYP1A2 but not total or free teriflunomide concentrations is associated with leflunomide cessation in rheumatoid arthritis.

AIM: Leflunomide, via its active metabolite teriflunomide, is used in rheumatoid arthritis (RA) treatment, yet approximately 20 to 40% of patients cease due to toxicity. The aim was to develop a time-to-event model describing leflunomide cessation due to toxicity within a clinical cohort and to investigate potential predictors of cessation such as total and free teriflunomide exposure and pharmacogenetic influences. METHODS: This study included individuals enrolled in the Early Arthritis inception cohort at the Royal Adelaide Hospital between 2000 and 2013 who received leflunomide. A time-to-event model in nonmem was used to describe the time until leflunomide cessation and the influence of teriflunomide exposure and pharmacogenetic variants. Random censoring of individuals was simultaneously described. The clinical relevance of significant covariates was visualized via simulation. RESULTS: Data from 105 patients were analyzed, with 34 ceasing due to toxicity. The baseline dropout hazard and baseline random censoring hazard were best described by step functions changing over discrete time intervals. No statistically significant associations with teriflunomide exposure metrics were identified. Of the screened covariates, carriers of the C allele of CYP1A2 rs762551 had a 2.29 fold increase in cessation hazard compared with non-carriers (95% CI 2.24, 2.34, P = 0.016). CONCLUSIONS: A time-to-event model described the time between leflunomide initiation and cessation due to side effects. The C allele of CYP1A2 rs762551 was linked to increased leflunomide toxicity, while no association with teriflunomide exposure was identified. Future research should continue to investigate exposure-toxicity relationships, as well as potentially toxic metabolites.

Beverage- and Brand-Specific Binge Alcohol Consumption among Underage Youth in the U.S.

BACKGROUND AND OBJECTIVES: Binge drinking is a common and risky pattern of alcohol consumption among youth; beverage and brand-specific consumption during binge drinking is poorly understood. The objective was to characterize beverage- and brand-specific consumption associated with binge drinking among underage youth in the U.S. METHODS: An internet panel was used to obtain a sample of 1,032 underage youth aged 13-20, who drank alcohol in the past 30 days. For each brand consumed, youth reported drinking quantity and frequency, and whether they engaged in binge drinking with that brand (≥5 drinks for males, ≥4 for females). Each youth reporting binge drinking with a brand constituted a binge drinking report. RESULTS: Overall, 50.9% of youth binge drank with ≥1 brand, and 36.5% of youth who consumed any particular brand reported binge drinking with it. Spirits accounted for 43.8% of binge drinking reports. Twenty-five brands accounted for 46.2% of binge drinking reports. Many of these brands were disproportionately associated with binge drinking relative to their youth market share. CONCLUSIONS: Binge drinking among youth is most commonly involves spirits, and binge drinking is concentrated within a relatively small number of brands. Understanding factors underlying beverage and brand preference among binge drinking youth could assist prevention efforts.

Pharmacogenomics of Type I interferon therapy: a survey of response-modifying genes.

Interferon-beta (IFN-beta) is routinely prescribed as an immunomodulatory treatment for multiple sclerosis (MS), but is associated with variable clinical efficacy. Ideally an early predictor of response status would allow more rational provision of this therapy. Both pharmacogenomic and expression analysis have highlighted IFN-beta regulated genes which may influence treatment efficacy. In this review we have summarized and discussed the main genes identified by these studies in MS patients, and supplemented this with data from similar studies of Type I IFN treatment in hepatitis.

ITGA4 polymorphisms and susceptibility to multiple sclerosis.

In multiple sclerosis (MS), alpha(4)beta(1) integrin, also known as Very Late Antigen 4 (VLA4), facilitates migration of leukocytes across the blood brain barrier. Several studies suggest that expression of alpha(4) integrin may be increased in MS patients compared to controls, and down-regulation or antagonism of alpha(4) integrin may be associated with immunomodulatory treatment success. We analysed association of 13 single nucleotide polymorphisms (SNPs) in the gene encoding alpha(4) integrin (ITGA4) with susceptibility to MS in two distinct populations comprising cases and controls from the Basque Country in northern Spain (352 patients; 235 controls) and Nordic countries (1119 patients; 1235 controls). Carriage of the C allele of the ITGA4 promoter SNP rs1449263 was independently and weakly increased in MS patients from each population compared to respective controls (P = 0.037 in Basque; and P = 0.042 in Nordic cohorts), though these associations were lost upon application of permutation correction. Meta-analysis of rs1449263*C carriage revealed a Mantel-Haenszel common OR of 1.26 (95% CI 1.06-1.49; P = 0.0069). Though our data only modestly argue for a role of ITGA4 in determining susceptibility to MS, we suggest that further examination of this gene, particularly the promoter region, is warranted.

The neuropeptide genes TAC1, TAC3, TAC4, VIP and PACAP(ADCYAP1), and susceptibility to multiple sclerosis.

The related immunomodulatory neuropeptides vasoactive intestinal peptide (VIP) and pituitary adenylyl cyclase activating peptide (PACAP; gene symbol ADCYAP1) have recently been proposed as novel therapeutics for the treatment of multiple sclerosis (MS). These neuropeptides, as well as those belonging to the tachykinin family exert pleiotropic effects, many of which are of relevance to central nervous system inflammation. In the present study, we have analysed 14 single nucleotide polymorphisms (SNPs) and 4 microsatellite markers in the VIP, ADCYAP1, TAC3 and TAC4 genes for susceptibility to MS in a case-control collection from Northern Ireland. Following correction for multiple comparisons, we did not find any significant associations between single polymorphic markers or multiple-marker haplotypes and susceptibility to MS. Furthermore, we analysed 2 SNPs in the TAC1 gene in a set of Sardinian trio MS families, based on our previous observation of association of these SNPs with MS in the Northern Irish (Genes Immun. 2005, 6, 265-270). Analysis of these SNPs in the Sardinians was not significant though a similar trend to that originally observed in the Northern Irish was present. Meta-analysis of the Sardinian and Northern Irish TAC1 SNP genotype data revealed a Mantel-Haenszel Common OR Estimate for the TAC1 intron 1 SNP rs2072100 of 0.76 (95% CI 0.63-0.92; P=0.005; A allele) and for the TAC1 promoter SNP rs7793277 of 0.76 (95% CI 0.615-0.95; P=0.014; C allele). Our data advocate a need for further exploration of the TAC1 gene region in MS.

CTLA4 gene polymorphisms and multiple sclerosis in Northern Ireland.

Four CTLA4 polymorphisms were investigated in a Northern Irish collection of relapsing-remitting (RR) and primary-progressive (PP) multiple sclerosis (MS) patients. The CTLA4 promoter (-318 C/T), exon 1 (+49 A/G) and intergenic CT60 SNPs, as well as a microsatellite found in the 3' UTR (AT(n)) were analysed in 246 RRMS, 84 PPMS and 158 healthy controls. The A allele of the exon 1 +49 A/G SNP (OR=1.36; 95% CI=1.11-1.81; P=0.038), and more so the AA genotype (OR=1.70; 95% CI=1.11-2.60; P=0.015) were associated with RR, but not PPMS. In the PPMS population, overall allele distribution of the AT(n) microsatellite was significantly different from that in the healthy controls. We did not find any association with the promoter (-318 C/T) or intergenic CT60 SNPs in either of the disease cohorts. In concordance with several recent studies, we detected a trend toward higher carriage rates of the +49 G allele in PP vs RR MS patients (66.7% vs 58.9%), though this was not significant. Our data highlight the CTLA4 +49 A/G and 3'UTR polymorphisms as potential modifiers of disease course in MS.

Putting recommendations into practice: Australian rheumatologists' opinions on leflunomide use in rheumatoid arthritis.

Leflunomide is the most recently introduced conventional disease-modifying anti-rheumatic drugs in Australia. It has several unique methods for initiation, unique monitoring recommendations and a distinctive cessation protocol in the event of serious toxicity. The aim of this study was to evaluate initiation and monitoring practices of Australian rheumatologists using leflunomide. A survey was emailed twice, approximately 3 months apart to 332 rheumatologist members of the Australian Rheumatology Association. Wave analysis was used to assess evidence of non-response bias. The response rate to the survey was 20% and there was no difference between the responses of waves 1 and 2. Fifty percent of the respondents indicated that 20 mg once daily was the initial dose of leflunomide that they most commonly prescribed, 45% indicated 10 mg once daily, whilst only 3% preferred to initiate leflunomide at 100 mg daily for 2-3 days followed by 10 mg once a day as recommended when first marketed. Of the responders, 12% had used doses above 20 mg daily and 70% had used alternate daily dosing with leflunomide. In a patient taking leflunomide with an ALT or AST >3 times the ULN on two or more blood tests, 75% of responders indicated they would stop leflunomide immediately and 20% would follow cessation by administering a cholestyramine washout. The choice of initial leflunomide dose among responding Australian rheumatologists varied considerably, although most preferred not to use the loading dose. Despite the recommendation of clinical guidelines, the use of a cholestyramine washout procedure for hepatic toxicity is not universal.

Pharmacogenomics of interferon beta and glatiramer acetate response: a review of the literature.

Multiple sclerosis (MS) is one of the most common inflammatory and degenerative autoimmune diseases of the central nervous system with considerable heterogeneity in all aspects, including response to therapy. A number of disease modifying drugs, including traditional first line agents such as, interferon-beta (IFN-ß) and glatiramer acetate (GA) are available for disease management. However, a considerable number of patients fail to achieve adequate response at therapeutic doses of IFN-ß or GA. This variability in response to treatment has prompted the search for prognostic markers in order to personalize and optimize therapy so as to treat MS more efficiently. This review will summarize the existing literature examining the pharmacogenomics of IFN-ß and GA response in MS patients.

Metabolic and safety issues for multiple sclerosis pharmacotherapy--opportunities for personalised medicine.

INTRODUCTION: A number of disease-modifying therapies have become available to treat multiple sclerosis (MS) in recent years. As the effects of these medications are unpredictable and they are generally used for a number of years, the selection of the most appropriate disease-modifying agent must be based on the long-term efficacy and toxicity profile, thus strategies to personalise treatment to optimise responses may be potentially very useful. AREAS COVERED: This review provides an overview of the efficacy and toxicity of disease-modifying agents used in MS and specifically discusses any metabolic side effects and advances in personalising the use of each of these agents. Medline and EMBASE were searched for any articles regarding the efficacy, toxicity and personalised use of the medicines discussed in this review. EXPERT OPINION: Disease-modifying agents used to treat MS differ substantially in their efficacy and toxicity profile, but metabolic side effects appear to be limited to alemtuzumab, teriflunomide and IFN-ß. Although personalised treatment strategies to assist in selection of the most appropriate disease-modifying agent for MS are limited, there is substantial potential to use genetic sub-studies of the many recent trials investigating disease-modifying agents to develop personalised treatment strategies.

Individualization of leflunomide dosing in rheumatoid arthritis patients.

Leflunomide is largely considered to be a second-line treatment option for rheumatoid arthritis (RA). Those who fail to respond, tend to progress to treatment with expensive biological agents, which can also be associated with serious toxicities. Optimizing leflunomide treatment to meet the needs of individuals would hence be beneficial in terms of patient outcomes and health care expenditure. In this respect, therapeutic drug monitoring (TDM) may be useful, as plasma concentrations of leflunomide's active metabolite, teriflunomide, correlate with response to treatment, but are highly variable between patients. A number of pharmacogenetic markers have also been identified that influence response and toxicity. Incorporation of these findings into clinical practice could facilitate more efficient use of leflunomide.

Identification of shared genes and pathways: a comparative study of multiple sclerosis susceptibility, severity and response to interferon beta treatment.

Recent genome-wide association studies (GWAS) have successfully identified several gene loci associated with multiple sclerosis (MS) susceptibility, severity or interferon-beta (IFN-ß) response. However, due to the nature of these studies, the functional relevance of these loci is not yet fully understood. We have utilized a systems biology based approach to explore the genetic interactomes of these MS related traits. We hypothesised that genes and pathways associated with the 3 MS related phenotypes might interact collectively to influence the heterogeneity and unpredictable clinical outcomes observed. Individual genetic interactomes for each trait were constructed and compared, followed by prioritization of common interactors based on their frequencies. Pathway enrichment analyses were performed to highlight shared functional pathways. Biologically relevant genes ABL1, GRB2, INPP5D, KIF1B, PIK3R1, PLCG1, PRKCD, SRC, TUBA1A and TUBA4A were identified as common to all 3 MS phenotypes. We observed that the highest number of first degree interactors were shared between MS susceptibility and MS severity (p = 1.34×10(-79)) with UBC as the most prominent first degree interactor for this phenotype pair from the prioritisation analysis. As expected, pairwise comparisons showed that MS susceptibility and severity interactomes shared the highest number of pathways. Pathways from signalling molecules and interaction, and signal transduction categories were found to be highest shared pathways between 3 phenotypes. Finally, FYN was the most common first degree interactor in the MS drugs-gene network. By applying the systems biology based approach, additional significant information can be extracted from GWAS. Results of our interactome analyses are complementary to what is already known in the literature and also highlight some novel interactions which await further experimental validation. Overall, this study illustrates the potential of using a systems biology based approach in an attempt to unravel the biological significance of gene loci identified in large GWAS.

Pharmacokinetic evaluation of teriflunomide for the treatment of multiple sclerosis.

INTRODUCTION: Teriflunomide is an immunomodulatory drug that received FDA approval for the treatment of relapsing forms of multiple sclerosis (MS) in September 2012. Its primary mode of action is inhibition of dihydroorotate dehydrogenase which inhibits the proliferation of activated T cells, but it also has a number of other actions that may be important contributors to its efficacy in MS. AREAS COVERED: This review covers a basic pathophysiology of MS and the current treatment options, including a discussion of the needs for additional treatments. The main focus of the review is the pharmacokinetics and pharmacodynamics of teriflunomide, including a brief comparison with the disease-modifying antirheumatic drug leflunomide. The authors discuss the clinical efficacy and toxicity profile of teriflunomide and make some comparisons with treatments that are currently, or soon to be available. EXPERT OPINION: While teriflunomide is no more effective than a number of other agents that are used in the treatment of MS, it has a favorable side-effect profile and the convenience of once a day oral administration. As such, it is likely to be a popular agent in the treatment of MS over the next 5 years.

The potential role of the antioxidant and detoxification properties of glutathione in autism spectrum disorders: a systematic review and meta-analysis.

BACKGROUND: Glutathione has a wide range of functions; it is an endogenous anti-oxidant and plays a key role in the maintenance of intracellular redox balance and detoxification of xenobiotics. Several studies have indicated that children with autism spectrum disorders may have altered glutathione metabolism which could play a key role in the condition. METHODS: A systematic literature review and meta-analysis was conducted of studies examining metabolites, interventions and/or genes of the glutathione metabolism pathways i.e. the γ-glutamyl cycle and trans-sulphuration pathway in autism spectrum disorders. RESULTS: Thirty nine studies were included in the review comprising an in vitro study, thirty two metabolite and/or co-factor studies, six intervention studies and six studies with genetic data as well as eight studies examining enzyme activity. CONCLUSIONS: The review found evidence for the involvement of the γ-glutamyl cycle and trans-sulphuration pathway in autistic disorder is sufficiently consistent, particularly with respect to the glutathione redox ratio, to warrant further investigation to determine the significance in relation to clinical outcomes. Large, well designed intervention studies that link metabolites, cofactors and genes of the γ-glutamyl cycle and trans-sulphuration pathway with objective behavioural outcomes in children with autism spectrum disorders are required. Future risk factor analysis should include consideration of multiple nutritional status and metabolite biomarkers of pathways linked with the γ-glutamyl cycle and the interaction of genotype in relation to these factors.

Association of DHODH haplotype variants and response to leflunomide treatment in rheumatoid arthritis.

AIM: Leflunomide is a disease-modifying antirheumatic drug used in the treatment of rheumatoid arthritis. Not all patients respond to leflunomide and, as it has potentially serious side effects, targeting only those most likely to benefit would address a clinical need. We aimed to determine whether variations in the gene encoding DHODH, the molecular target of leflunomide, might include biomarkers that could be used to rationalize provision of this drug. MATERIALS & METHODS: We analyzed six haplotype-tagging SNPs in DHODH in 56 patients with rheumatoid arthritis treated with leflunomide. Clinical response was determined by assessing the change in 28 joint disease activity score over the first 3 months of treatment. RESULTS & CONCLUSION: Carriage of a six-marker DHODH haplotype was associated with a reduced treatment response (p = 0.008). This suggests that a functional variant in strong linkage disequilibrium with this haplotype may predispose to reduced leflunomide efficacy.

Polymorphisms in cytochrome P450 2C19 enzyme and cessation of leflunomide in patients with rheumatoid arthritis.

INTRODUCTION: Rational selection of disease modifying anti-rheumatic drugs in the treatment of rheumatoid arthritis (RA) has many potential advantages, including rapid disease control, reduced long-term disability and reduced overall cost to the healthcare system. Inter-individual genetic differences are particularly attractive as markers to predict efficacy and toxicity, as they can be determined rapidly prior to drug selection. The aims of this study, therefore, were to investigate the association between differences in genes associated with the metabolism, clearance and efficacy of leflunomide with its cessation in a group of rheumatoid arthritis patients who were treated with an intensive contemporary, treat-to-target approach. METHODS: This retrospective cohort study identified all individuals who received leflunomide and were enrolled in the Early Arthritis inception cohort at the Royal Adelaide Hospital between 2001 and July 2011. Inclusion criteria were age (>18) and a diagnosis of rheumatoid arthritis. Patients were excluded if a DNA sample was not available, if they withdrew from the cohort or if clinical data were insufficient. Subjects were followed for 12 months or until either another disease modifying antirheumatic drug was added or leflunomide was ceased. The following single nucleotide polymorphisms (SNPs) were determined: CYP2C19*2 (rs4244285), CYP2C19*17 (rs12248560), ABCG2 421C>A (rs2231142), CYP1A2*1F (rs762551) and DHODH 19C>A (rs3213422). The effects of variables on cessation were assessed with Cox Proportional Hazard models. RESULTS: Thirty-three of 78 (42.3%) patients ceased leflunomide due to side effects. A linear trend between cytochrome P450 2C19 (CYP2C19) phenotype and leflunomide cessation was observed, with poor and intermediate metabolizers ceasing more frequently (adjusted Hazard Ratio = 0.432 for each incremental change in phenotype, 95% CI 0.237 to 0.790, P = 0.006). Previously observed associations between cytochrome P450 1A2 (CYP1A2) and dihydro-orotate dehydrogenase (DHODH) genotype and toxicity were not apparent, but there was a trend for ATP-binding cassette sub-family G member 2 (ABCG2) genotype to be associated with cessation due to diarrhea. CONCLUSIONS: CYP2C19 phenotype was associated with cessation due to toxicity, and since CYP2C19 intermediate and poor metabolizers have lower teriflunomide concentrations, it is likely that they have a particularly poor risk:benefit ratio when using this drug.

Folate and methionine metabolism in autism: a systematic review.

BACKGROUND: Autism is a complex neurodevelopmental disorder that is increasingly being recognized as a public health issue. Recent evidence has emerged that children with autism may have altered folate or methionine metabolism, which suggests the folate-methionine cycle may play a key role in the etiology of autism. OBJECTIVE: The objective was to conduct a systematic review to examine the evidence for the involvement of alterations in folate-methionine metabolism in the etiology of autism. DESIGN: A systematic literature review was conducted of studies reporting data for metabolites, interventions, or genes of the folate-methionine pathway in autism. Eighteen studies met the inclusion criteria, 17 of which provided data on metabolites, 5 on interventions, and 6 on genes and their related polymorphisms. RESULTS: The findings of the review were conflicting. The variance in results can be attributed to heterogeneity between subjects with autism, sampling issues, and the wide range of analytic techniques used. Most genetic studies were inadequately powered to provide more than an indication of likely genetic relations. CONCLUSIONS: The review concluded that further research is required with appropriately standardized and adequately powered study designs before any definitive conclusions can be made about the role for a dysfunctional folate-methionine pathway in the etiology of autism. There is also a need to determine whether functional benefits occur when correcting apparent deficits in folate-methionine metabolism in children with autism.

Genetic polymorphisms, their allele combinations and IFN-beta treatment response in Irish multiple sclerosis patients.

INTRODUCTION: IFN-beta is widely used as first-line immunomodulatory treatment for multiple sclerosis. Response to treatment is variable (30-50% of patients are nonresponders) and requires a long treatment duration for accurate assessment to be possible. Information about genetic variations that predict responsiveness would allow appropriate treatment selection early after diagnosis, improve patient care, with time saving consequences and more efficient use of resources. MATERIALS & METHODS: We analyzed 61 SNPs in 34 candidate genes as possible determinants of IFN-beta response in Irish multiple sclerosis patients. Particular emphasis was placed on the exploration of combinations of allelic variants associated with response to therapy by means of a Markov chain Monte Carlo-based approach (APSampler). RESULTS: The most significant allelic combinations, which differed in frequency between responders and nonresponders, included JAK2-IL10RB-GBP1-PIAS1 (permutation p-value was p(perm) = 0.0008), followed by JAK2-IL10-CASP3 (p(perm) = 0.001). DISCUSSION: The genetic mechanism of response to IFN-beta is complex and as yet poorly understood. Data mining algorithms may help in uncovering hidden allele combinations involved in drug response versus nonresponse.