Michael P. Douglas

The Evaluation of Genomic Applications in Practice and Prevention (EGAPP) initiative: methods of the EGAPP Working Group

The Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Initiative, established by the National Office of Public Health Genomics at the Centers for Disease Control and Prevention, supports the development and implementation of a rigorous, evidence-based process for evaluating genetic tests and other genomic applications for clinical and public health practice in the United States. An independent, non-federal EGAPP Working Group (EWG), a multidisciplinary expert panel selects topics, oversees the systematic review of evidence, and makes recommendations based on that evidence. This article describes the EGAPP processes and details the specific methods and approaches used by the EWG.

Can UGT1A1 genotyping reduce morbidity and mortality in patients with metastatic colorectal cancer treated with irinotecan? An evidence-based review

This evidence-based review addresses the question of whether testing for UGT1A1 mutations in patients with metastatic colorectal cancer treated with irinotecan leads to improvement in outcomes (e.g., irinotecan toxicity, response to treatment, morbidity, and mortality), when compared with no testing. No studies were identified that addressed this question directly. The quality of evidence on the analytic validity of current UGT1A1 genetic testing methods is adequate (scale: convincing, adequate, inadequate), with available data indicating that both analytic sensitivity and specificity for the common genotypes are high. For clinical validity, the quality of evidence is adequate for studies reporting concentration of the active form of irinotecan (SN-38), presence of severe diarrhea, and presence of severe neutropenia stratified by UGT1A1 common genotypes. The strongest association for a clinical endpoint is for severe neutropenia. Patients homozygous for the *28 allele are 3.5 times more likely to develop severe neutropenia compared with individuals with the wild genotype (risk ratio 3.51; 95% confidence interval 2.03–6.07). The proposed clinical utility of UGT1A1 genotyping would be derived from a reduction in drug-related adverse reactions (benefits) while at the same time avoiding declines in tumor response rate and increases in morbidity/mortality (harms). At least three treatment options for reducing this increased risk have been suggested: modification of the irinotecan regime (e.g., reduce initial dose), use of other drugs, and/or pretreatment with colony-stimulating factors. However, we found no prospective studies that examined these options, particularly whether a reduced dose of irinotecan results in a reduced rate of adverse drug events. This is a major gap in knowledge. Although the quality of evidence on clinical utility is inadequate, two of three reviewed studies (and one published since our initial selection of studies for review) found that individuals homozygous for the *28 allele had improved survival. Three reviewed studies found statistically significant higher tumor response rates among individuals homozygous for the *28 allele. We found little or no direct evidence to assess the benefits and harms of modifying irinotecan regimens for patients with colorectal cancer based on their UGT1A1 genotype; however, results of our preliminary modeling of prevalence, acceptance, and effectiveness indicate that reducing the dose would need to be highly effective to have benefits outweigh harms. An alternative is to increase irinotecan dose among wild-type individuals to improve tumor response with minimal increases in adverse drug events. Given the large number of colorectal cancer cases diagnosed each year, a randomized controlled trial of the effects of irinotecan dose modifications in patients with colorectal cancer based on their UGT1A1 genotype is feasible and could clarify the tradeoffs between possible reductions in severe neutropenia and improved tumor response and/or survival in patients with various UGT1A1 genotypes.

The economic value of personalized medicine tests: what we know and what we need to know

Purpose:There is uncertainty about when personalized medicine tests provide economic value. We assessed evidence on the economic value of personalized medicine tests and gaps in the evidence base.Methods:We created a unique evidence base by linking data on published cost–utility analyses from the Tufts Cost-Effectiveness Analysis Registry with data measuring test characteristics and reflecting where value analyses may be most needed: (i) tests currently available or in advanced development, (ii) tests for drugs with Food and Drug Administration labels with genetic information, (iii) tests with demonstrated or likely clinical utility, (iv) tests for conditions with high mortality, and (v) tests for conditions with high expenditures.Results:We identified 59 cost–utility analyses studies that examined personalized medicine tests (1998–2011). A majority (72%) of the cost/quality-adjusted life year ratios indicate that testing provides better health although at higher cost, with almost half of the ratios falling below

Assignment of CDC Weak Oxidizer Group 2 (WO-2) to the Genus Pandoraea and Characterization of Three New Pandoraea Genomospecies

50,000 per quality-adjusted life year gained. One-fifth of the results indicate that tests may save money.Conclusion:Many personalized medicine tests have been found to be relatively cost-effective, although fewer have been found to be cost saving, and many available or emerging medicine tests have not been evaluated. More evidence on value will be needed to inform decision making and assessment of genomic priorities.Genet Med 2014:16(3):251–257

Paracoccus yeeii sp. nov. (Formerly CDC Group EO-2), a Novel Bacterial Species Associated with Human Infection

ABSTRACT CDC weak oxidizer group 2 (WO-2) consists of nine phenotypically similar human clinical isolates received by the Centers for Disease Control and Prevention between 1989 and 1998. Four of the isolates were from blood, three were from sputum, and one each was from bronchial fluid and maxillary sinus. All are aerobic nonfermentative, motile gram-negative rods with one to eight polar flagella per cell. All grew at 25 and 35°C and were positive for catalase, urease (usually delayed 3 to 7 days), citrate, alkalinization of litmus milk, oxidization of glycerol (weakly), and growth on MacConkey agar and in nutrient broth without NaCl. All except one strain were oxidase positive with the Kovács method, and all except one isolate weakly oxidized d-glucose. All were negative for oxidation of d-xylose, d-mannitol, lactose, sucrose, maltose, and 20 other carbohydrates, esculin hydrolysis, indole production, arginine dihydrolase, and lysine and ornithine decarboxylase. Only two of nine isolates reduced nitrate. Broth microdilution susceptibilities were determined for all strains against 13 antimicrobial agents. Most of the strains were resistant to ampicillin, extended-spectrum cephalosporins, and aminoglycosides, including gentamicin, tobramycin, and amikacin, but they varied in their susceptibility to fluoroquinolones. High-performance liquid chromatographic and mass spectrometric analyses of the WO-2 group identified ubiquinone-8 as the major quinone component. The percent G+C of the WO-2 strains ranged from 65.2 to 70.7% (thermal denaturation method). All shared a common cellular fatty acid (CFA) profile, which was characterized by relatively large amounts (7 to 22%) of 16:1ω7c, 16:0, 17:0cyc, 18:1ω7c, and 19:0cyc11-12; small amounts (1 to 3%) of 12:0 and 14:0; and eight hydroxy acids, 2-OH-12:0 (4%), 2-OH-14:0 (trace), 3-OH-14:0 (12%), 2-OH-16:1 (1%), 2-OH-16:0 (3%), 3-OH-16:0 (4%), 2-OH-18:1 (2%), and 2-OH-19:0cyc (3%). This profile is similar to the CFA profile of Pandoraea, a recently described genus associated with respiratory infections in cystic fibrosis patients (T. Coenye et al., Int. J. Syst. Evol. Microbiol., 50:887–899, 2000). Sequencing of the 16S rRNA gene (1,300 bp) for all nine strains indicated a high level (≥98.8%) of homogeneity withPandoraea spp. type strains. DNA-DNA hybridization analysis (hydroxyapatite method; 70°C) confirmed the identity of WO-2 with the genus Pandoraea and assigned three strains toPandoraea apista and three to Pandoraea pnomenusa, and identified three additional new genomospecies containing one strain each (ATCC BAA-108, ATCC BAA-109, ATCC BAA-110). This study also shows that Pandoraea isolates may be encountered in blood cultures from patients without cystic fibrosis.

Enterococcus porcinus sp. nov. and Enterococcus ratti sp. nov., associated with enteric disorders in animals.

ABSTRACT CDC eugonic oxidizer group 2 (EO-2) is a group of unclassified gram-negative bacterial strains isolated from various human sources. As determined by biochemical tests and analyses of fatty acid compositions, these organisms form a homogeneous group that appears to be distinct from but related to other Paracoccus species. Molecular studies were performed on a set of 13 EO-2 strains from various clinical sources and geographic locations in the United States and Canada to determine their relationship to the Paracoccus genus. Control strains were Paracoccus denitrificans ATCC 17741T, P. versutus ATCC 25364T, P. aminophilus ATCC 49673T, P. solventivorans ATCC 700252T, and Psychrobacter immobilis ATCC 43116T, which are phenotypically similar to EO-2. Nearly complete (1,500-base) 16S rRNA gene sequencing of eight EO-2 strains showed a high level of sequence similarity (>99.3%) within the group, and a BLAST search of GenBank placed the EO-2 cluster in close proximity to Paracoccus species (95 to 97% similarity). DNA-DNA hybridization studies of 13 of the EO-2 strains showed all to be related at the species level, with >70% relatedness under stringent conditions and a divergence within the group of less than 2%. None of the Paracoccus control strains hybridized at >54% with any of the EO-2 strains. These results indicate that EO-2 represents a new Paracoccus species, the first isolated from human clinical specimens. A new species, Paracoccus yeeii, is proposed for the EO-2 strains. The type strain of P. yeeii is CDCG1212 (ATCC BAA-599 and CCUG 46822), isolated in Pennsylvania from dialysate of a 77-year-old male with peritonitis.

Prioritizing Genomic Applications for Action by Level of Evidence: A Horizon-Scanning Method

Recent insights have been brought to the taxonomy of the genus Enterococcus by studies applying whole-cell protein analysis and DNA-DNA reassociation experiments, in addition to conventional physiological tests. Using these techniques, a group of 10 strains resembling the physiological group III of enterococcal species was characterized. Five strains were recovered from pigs and five from rats with enteric disorders. On the basis of the results of conventional physiological tests, the most likely identity of these strains was Enterococcus durans or Enterococcus hirae. Analysis of the electrophoretic whole-cell protein profiles showed two distinct clusters of virtually indistinguishable profiles: one composed of strains isolated from pigs, and one composed of strains isolated from rats. These protein profiles were not similar to the profiles of any previously described Enterococcus species. The results of DNA-DNA relatedness experiments were consistent with the results of the protein-profile analysis. The high levels of DNA relatedness found for pig isolates demonstrated that they belong to a new enterococcal species, for which the designation Enterococcus porcinus sp. nov. is proposed (type strain =DS 1390-83T =ATCC 700913T =CCUG 43229T =NCIMB 13634T). Strains isolated from rats were found to comprise another new species, for which the designation Enterococcus ratti sp. nov. is proposed (type strain =DS 2705-87T =ATCC 700914T =CCUG 43228T =NCIMB 13635T). This report provides data on the phenotypic and genotypic characterization of these two new enterococcal species, which may represent diarrhoeagenic pathogens for animals.

Use of genomic profiling to assess risk for cardiovascular disease and identify individualized prevention strategies—A targeted evidence-based review

As evidence accumulates on the use of genomic tests and other health‐related applications of genomic technologies, decision makers may increasingly seek support in identifying which applications have sufficiently robust evidence to suggest they might be considered for action. As an interim working process to provide such support, we developed a horizon‐scanning method that assigns genomic applications to tiers defined by availability of synthesized evidence. We illustrate an application of the method to pharmacogenomics tests.

Horizon scanning for translational genomic research beyond bench to bedside

Purpose: To address the key question of whether using available “cardiogenomic profiles” leads to improved health outcomes (e.g., reduction in rates of myocardial infarction and stroke) and whether these profiles help in making medical or personal decisions.Methods: A targeted evidence-based review based on published Evaluation of Genomic Applications in Practice and Prevention methodologies.Results: No study addressed the overarching question directly. Evidence for the analytic validity of genomic profiles was inadequate for most genes (scale: convincing, adequate, and inadequate), but based on gray data, the analytic sensitivity and specificity might be adequate. For the 29 candidate genes (58 separate associations reviewed), the credibility of evidence for clinical validity was weak (34 associations) to moderate (23 associations), based on limited evidence, potential biases, and/or variability between included studies. The association of 9p21 variants with heart disease had strong credibility with odds ratios of 0.80 (95% confidence interval: 0.77–0.82) and 1.25 (95% confidence interval: 1.21–1.30), respectively, for individuals with no, or two, at-risk alleles versus those with one at-risk allele. Using a multiplicative model, we combined information from 24 markers predicting heart disease and from 13 markers for stroke. The areas under the curves (64.7% and 55.2%, respectively), and overall screening performance (detection rates of 24% and 14% at a 10% false-positive rate, respectively) do not warrant use as stand-alone tests.Conclusion: Even if genomic markers were independent of traditional risk factors, reports indicate that cardiovascular disease risk reclassification would be small. Improvement in health could occur with earlier initiation or higher adherence to medical or behavioral interventions, but no prospective studies documented such improvements (clinical utility).

Making genomic medicine evidence-based and patient-centered: a structured review and landscape analysis of comparative effectiveness research

Purpose:The dizzying pace of genomic discoveries is leading to an increasing number of clinical applications. In this report, we provide a method for horizon scanning and 1 year data on translational research beyond bench to bedside to assess the validity, utility, implementation, and outcomes of such applications.Methods:We compiled cross-sectional results of ongoing horizon scanning of translational genomic research, conducted between 16 May 2012 and 15 May 2013, based on a weekly, systematic query of PubMed. A set of 505 beyond bench to bedside articles were collected and classified, including 312 original research articles; 123 systematic and other reviews; 38 clinical guidelines, policies, and recommendations; and 32 articles describing tools, decision support, and educational materials.Results:Most articles (62%) addressed a specific genomic test or other health application; almost half of these (n = 180) were related to cancer. We estimate that these publications account for 0.5% of reported human genomics and genetics research during the same time.Conclusion:These data provide baseline information to track the evolving knowledge base and gaps in genomic medicine. Continuous horizon scanning of the translational genomics literature is crucial for an evidence-based translation of genomics discoveries into improved health care and disease prevention.Genet Med 16 7, 535–538.