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OtherReflections

Personalized Medicine and Tobacco-Related Health Disparities: Is There a Role for Genetics?

Chris Carlsten, Abigail Halperin, Julia Crouch and Wylie Burke
The Annals of Family Medicine July 2011, 9 (4) 366-371; DOI: https://doi.org/10.1370/afm.1244
Chris Carlsten
MD, MPH
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Abigail Halperin
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Julia Crouch
MPH
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Wylie Burke
MD, PhD
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  • Genes, Biomarkers, Personalized Medicine and the Appropriate Band
    Gary R Cutter
    Published on: 27 July 2011
  • Response to letters of Drs. David, Carpenter, and Strange
    Chris Carlsten
    Published on: 25 July 2011
  • The limitations of genetic prediction of tobacco cessation
    Coral Gartner
    Published on: 22 July 2011
  • Smoking is in Our Genes
    Matthew J. Carpenter
    Published on: 19 July 2011
  • Personalized medicine as part of the solution to health disparities
    Sean P David
    Published on: 15 July 2011
  • Published on: (27 July 2011)
    Page navigation anchor for Genes, Biomarkers, Personalized Medicine and the Appropriate Band
    Genes, Biomarkers, Personalized Medicine and the Appropriate Band
    • Gary R Cutter, Birmingham, AL USA

    The article by Carlsten, Halperin, Crouch and Burke is an excellent addition to the literature cautioning us that a band wagon for personalized medicine may need to be reserved for the appropriate bands. Several key issues come into play when advocating the use of genetics and even biomarkers of response. Often investigators confuse a significant difference in response rates as evidence for personalized medicine. This...

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    The article by Carlsten, Halperin, Crouch and Burke is an excellent addition to the literature cautioning us that a band wagon for personalized medicine may need to be reserved for the appropriate bands. Several key issues come into play when advocating the use of genetics and even biomarkers of response. Often investigators confuse a significant difference in response rates as evidence for personalized medicine. This does not necessarily follow. There is a large difference between a response variable that can be shown to be statistically significantly different (i.e. reject the null hypothesis that they are the same) based on a risk factor or biomarker and use of that biomarker as a classifier to predict response. The statistical significance is not only asking a question of whether the response rates are equal, but also is a function of the sample size. A classifier or predictor of response must achieve reasonable levels of sensitivity and/or specificity to be useful. Thus, even small p-values are in and of themselves insufficient to argue that a biomarker should used to select or target patients.

    Suppose we have a biomarker that is a continuous variable and we have 200 unsuccessful participants unable to quit smoking and 50 quitters. Assume the mean of the quitters is 12 with a standard deviation of 2 and the mean of those continuing to smoke is 10 with a standard deviation of 2. The biomarker is significantly different with a p-value < 0.0001. However, the sensitivity and specificity would only be 50% and 44% if not optimized and if optimized for sensitivity could be 94%, but with only a 20% specificity.

    We know from the design of clinical trials that the relative efficiency of so-called targeted designs or selection designs, which are based on enriching for biomarkers, depend on the proportion of patients biomarker positive, the effectiveness of test drug (compared to control) for biomarker negative patients as well as biomarker positive patients. When less than half of patients are biomarker positive and the drug has little or no benefit for test negative patients, the targeted design requires dramatically fewer randomized patients. However, the targeted design often requires more screened patients than the standard design and may require a larger sample size when the treatments are only slightly more successful in the Biomarker positive group than in the negative group or the biomarker is common. The added costs of the testing for the biomarker need to be considered as well. Thus, as the band wagon for personalized medicine continues to roll on, it should be reserved for those "bands" that have the right instruments (i.e can separate responders from nonresponders dramatically).

    The points made by Carlsten and colleagues are a sobering reminder that we need to improve our efforts for all patients. Even if a particularly positive result can be obtained in a particular genotype, that band is not going to solve the problem of smoking.

    Competing interests:   None declared

    Show Less
    Competing Interests: None declared.
  • Published on: (25 July 2011)
    Page navigation anchor for Response to letters of Drs. David, Carpenter, and Strange
    Response to letters of Drs. David, Carpenter, and Strange
    • Chris Carlsten, Vancouver, Canada
    • Other Contributors:

    We thank Dr. David for his interest in our work. Dr David laments the absence of genetically-tailored smoking cessation trials. Yet there have been at least 3 studies that would seem to qualify as such [1-3]. These studies have failed to show a benefit of genetic data in enhancing cessation rates. It is always possible that a future study will bear fruit, particularly if new data suggest potential effects not yet fully...

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    We thank Dr. David for his interest in our work. Dr David laments the absence of genetically-tailored smoking cessation trials. Yet there have been at least 3 studies that would seem to qualify as such [1-3]. These studies have failed to show a benefit of genetic data in enhancing cessation rates. It is always possible that a future study will bear fruit, particularly if new data suggest potential effects not yet fully investigated, such as the opportunity for genetics to direct choice of cessation treatment. We also caution that a robust comparative effectiveness approach be taken, to ensure that any test of genetic approaches is compared to current, proven, smoking cessation methods including counseling on lung age, bans, etc. We do not believe that modeling exercises, particularly those in which the conclusions vary dramatically depending on assumptions, can provide sufficiently compelling evidence on these questions.

    We also appreciate the comments of Drs. Carpenter and Strange but must express our strong disagreement with the statement that "genetic testing is the cornerstone of personalized medicine." Rather, we argue that personalized medicine is characterized by careful attention to the individual characteristics and circumstances of each patient, the vast majority of which are ascertained without genetic testing. Furthermore, while genetic testing may be "the most rapidly expanding segment of the molecular diagnostics market worldwide" there is little evidence that this expansion is proportionate to evidence for its usefulness [4]. We agree that our challenge is to “direct new science, provide evidence on its impact, and guide policy for its use". An important component of this effort is critical thinking about which uses of new technology are most likely to provide net benefit, and this was one intention of our paper.

    In this context, the claim that "willingness to undergo genetic testing is a self-selected choice" is likely simplistic. Rather, the choice to undergo testing is likely influenced by physician recommendations, funders’ willingness to pay, and media coverage. The need for rigorous evaluation, to ensure that physicians and funders have the evidence and critical review they need, is all the more important given the media attention to genetics.

    We agree that genetics should, in concept, be complementary rather than an alternative to existing modes of treatment – a tool to assist in the delivery of personalized medicine in some instances. We argue that there are likely to be limited opportunities for benefit within the smoking cessation context. More importantly, we call for this question to be addressed with rigorous research, to assure that any use of genetic testing to assist smoking cessation is based on a clear demonstration of cost-effectiveness compared to alternative approaches. The best opportunities appear likely to come from the application of pharmacogenomics, but even here, as Carpenter and Strange wisely advocate, caution is indicated.

    1. Carpenter MJ, Strange C, Jones Y, Dickson MR, Carter C, Moseley MA, Gilbert GE. Does genetic testing result in behavioral health change? Changes in smoking behavior following testing for Alpha-1 Antitrypsin Deficiency. Ann Behav Med. 2007;33(1):22-28.

    2. McBride CM, Bepler G, Lipkus IM, et al. Incorporating genetic susceptibility feedback into a smoking cessation program for African- American smokers with low income. Cancer Epidemiol Biomarkers Prev. 2002;11(6):521–528.

    3. Hishida A, Terazawa T, Mamiya T, et al. Efficacy of genotype notification to Japanese smokers on smoking cessation—an intervention study at workplace. Cancer Epidemiol. 2010;34(1):96–100.

    4. Evans JP, Meslin EM, Marteau TM, Caulfield T. Genomics. Deflating the genomic bubble. Science. 2011 Feb 18;331(6019):861-2.

    Competing interests:   None declared

    Show Less
    Competing Interests: None declared.
  • Published on: (22 July 2011)
    Page navigation anchor for The limitations of genetic prediction of tobacco cessation
    The limitations of genetic prediction of tobacco cessation
    • Coral Gartner, Australia
    • Other Contributors:

    We endorse Carlsten et al’s analysis of the major limitations in using genomic information to reduce social disparities in smoking prevalence1. We would stress a major limitation in the use of genetic information to tailor smoking cessation assistance to smokers, namely, that smoking risk and likelihood of cessation is likely to involve many risk alleles of small effect which makes it difficult to predict differential r...

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    We endorse Carlsten et al’s analysis of the major limitations in using genomic information to reduce social disparities in smoking prevalence1. We would stress a major limitation in the use of genetic information to tailor smoking cessation assistance to smokers, namely, that smoking risk and likelihood of cessation is likely to involve many risk alleles of small effect which makes it difficult to predict differential responses to smoking cessation interventions2. Combining multiple risk alleles into genetic testing may improve prediction3 but we have shown that a predictive genetic test based on 5 risk alleles was a poorer predictive tool than simple family history information4. The inclusion of more predictive alleles of moderate effect size in such a genetic test only modestly improves prediction. The substantial expense in identifying those genetically at the highest risk of relapse is unlikely to be justified by the small increment in successful cessation.

    The use of genetic risk information could also be counter-productive, if geneticising tobacco addiction reduces quitting self-efficacy among disadvantaged smokers2. We agree with Carlsten et al1 that more promising options for reducing the social disparity in smoking rates and tobacco- related disease are population health strategies, such as taxation, smoking bans, subsidised cessation aids, and more controversially, tobacco harm reduction options5, that are tailored to the social needs of disadvantaged smokers.

    Coral Gartner, NHMRC Research Fellow and Wayne Hall, NHMRC Australia Fellow, The University of Queensland Centre for Clinical Research.

    1. Carlsten C, Halperin A, Crouch J, Burke W. Personalized Medicine and Tobacco-Related Health Disparities: Is There a Role for Genetics? Annals of Family Medicine. 2011;9 (4):366-371.

    2. Hall WD, Gartner CE, Carter A. The genetics of nicotine addiction liability: ethical and social policy implications. Addiction. 2008;103 (3):350–359.

    3. Yang QH, Khoury MJ, Botto L, Friedman JM, Flanders WD. Improving the prediction of complex diseases by testing for multiple disease- susceptibility genes. American Journal of Human Genetics. 2003; 72 (3): 636–649.

    4. Gartner CE, Barendregt JJ, Hall WD. Multiple genetic tests for susceptibility to smoking do not outperform simple family history. Addiction. 2009; 104 (1): 118–126.

    5. Gartner CE, Hall WD, Vos T, Bertram MY, Wallace AL, Lim SS. Assessment of Swedish snus for tobacco harm reduction: an epidemiological modelling study. The Lancet. 2007; 369 (9578):2010-4.

    Competing interests:   None declared

    Show Less
    Competing Interests: None declared.
  • Published on: (19 July 2011)
    Page navigation anchor for Smoking is in Our Genes
    Smoking is in Our Genes
    • Matthew J. Carpenter, Charleston, SC USA
    • Other Contributors:

    Carlsten and colleagues (1) provide well-stated cautionary advice on the potential role of genetics in the treatment of tobacco dependence. They argue that access to proven therapy is the most effective public health strategy to lower smoking prevalence, particularly among disadvantaged smokers. While correct, this truism minimizes the impact of the genetic revolution. Genetic testing is the cornerstone of personalize...

    Show More

    Carlsten and colleagues (1) provide well-stated cautionary advice on the potential role of genetics in the treatment of tobacco dependence. They argue that access to proven therapy is the most effective public health strategy to lower smoking prevalence, particularly among disadvantaged smokers. While correct, this truism minimizes the impact of the genetic revolution. Genetic testing is the cornerstone of personalized medicine (2) and is the most rapidly expanding segment of the molecular diagnostics market worldwide (3). Our challenge is to direct new science, provide evidence on its impact, and guide policy for its use.

    Genetics should not be viewed as an alternative to existing treatments, but rather a complement to them. Genetic information will unlikely supplant existing strategies, either at the individual or community level. However, many smokers either will not engage in or do not respond to existing treatments (4). We need new options. Willingness to undergo genetic testing is a self-selected choice. Smokers will either seek genetic testing or get information from their trusted healthcare provider, but a scenario where all smokers are advised to undergo genetic testing as a part of standard care is hard to envision.

    Finally, we are reminded of old maxim: absence of evidence is not evidence of absence. As investigators on one study that examined the impact of genetic testing on downstream smoking behavior (5), we, like others, found that knowledge of genetic status prompted beneficial change (increase in quit attempts). The benefit on actual cessation was less clear: while there was a three-fold increase in abstinence among smokers at higher vs. lower genetic risk, this did not reach statistical significance, largely due to limited sample size. These findings are generally consistent with other research in this area. We are aware of no study that has shown a decrease in cessation as a function of genetic testing.

    We agree with Carlsten et al. that more and stronger effort should be made to promote access to the cessation tools we know work. Anyone anticipating a genetic panacea requires corrected vision, but we are more sanguine about its potential role in the future. We believe that genetic testing may someday augment existing treatment and identify familial risks before smoking begins. Genetic testing may someday help us select from the menu of effective cessation medications by identifying populations with enhanced efficacy to medications. We should keep all tools at our disposal in this important task.

    Matthew J. Carpenter, PhD and Charlie Strange, MD, Medical University of South Carolina

    1. Carlsten C, Halperin A, Crouch J, Burke W. Personalized medicine and tobacco-related health disparities: Is there a role for genetics? Ann Fam Med. 2011;9(4):366-371.
    2. Collins F. Has the revolution arrived? Nature. 2010;464:674- 675.
    3. http://www.prweb.com/releases/genetic_testing/molecular_diagnostics/prweb8055136.htm
    4. Fiore MC, Jaen CR, Baker TB, Bailey WC, Benowitz NL, Curry SJ, et al. Treating tobacco use and dependence: 2008 Update. Clinical Practice Guideline. Rockville, MD: US Public Health Service; 2008.
    5. Carpenter MJ, Strange C, Jones Y, Dickson MR, Carter C, Moseley MA, Gilbert GE. Does genetic testing result in behavioral health change? Changes in smoking behavior following testing for Alpha-1 Antitrypsin Deficiency. Ann Behav Med. 2007;33(1):22-28.

    Competing interests:   None declared

    Show Less
    Competing Interests: None declared.
  • Published on: (15 July 2011)
    Page navigation anchor for Personalized medicine as part of the solution to health disparities
    Personalized medicine as part of the solution to health disparities
    • Sean P David, Stanford, CA, USA

    Carlsten and colleagues correctly point out that three-quarters of the tobacco-atributable mortality occurs in developing countries. Indeed, in China alone, there are 300 million smokers more than 1 million tobacco deaths annually. The effectiveness of population-based public health efforts, including tobacco control programs and individualized behavioral and pharmacological treatment is widely accepted one of the grea...

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    Carlsten and colleagues correctly point out that three-quarters of the tobacco-atributable mortality occurs in developing countries. Indeed, in China alone, there are 300 million smokers more than 1 million tobacco deaths annually. The effectiveness of population-based public health efforts, including tobacco control programs and individualized behavioral and pharmacological treatment is widely accepted one of the great public health success stories. However, a few of the assertions stated in their commentary may not be justified.

    The commentary states that the two-published single-gene test scenarios for tailoring smoking cessation treatment "may not be cost-effective". However, in one study (1), genetically tailored treatment with bupropion or nicotine replacement therapy (NRT) was more likely to be cost-effective than single - drug treatment with either medication but was less likely to be cost- effective than combination therapy. The other study (2) reported that a tailored approach for selecting either bupropion or NRT "can be cost-effective under plausible assumptions" while varenicline and bupropion were considered cost-effective in all or most scenarios, respectively. However, the high cost and high risk of major side effects of one-size fits all combination bupropion/NRT and varenicline greatly limit the widespread use of either treatment in the most vulnerable populations.

    What has not been stated and bears mention, is that to date, there have been no published prospective, genetically-tailored smoking cessation trials. While such research is presently in the pipeline, there is no data to suggest that actually using genetic testing to tailor treatment is or is not effective or cost- effective. Moreover, there is more recent data to suggest that scores of genetic variants moderate drug response to varenicline, bupropion, NRT and/or combination bupropion/NRT and cost-effectiveness modeling based on aggregate genetic risk scores paint a more optimistic picture (3, 4, 5, 6, 7).

    It is fair to say that public policies directed toward producing more healthful living and working environments and access to health care will likely continue to be more critically important in reducing health disparities than dissemination of genetic testing for smoking cessation treatment. The pharmacogenomic smoking cessation research community share a cautious, patient-centered approach, mixed-methods genetic feedback research and partnership models with clinical geneticists, genetic counselors and culturally- tailored, community-based partnership models for better understanding and treating nicotine dependence. A review of the many, very circumspect and thoughtful reviews of tobacco use genetic research by opinion leaders trained in public health, medicine, genetics and behavioral medicine in the field should make this self-evident.

    Based on that premise, the caveat that genetic research "should not be confused with the public health imperative to reduce the enormous toll of tobacco use and addiction" is, with all due respect, preaching to the choir.

    However, what was not addressed in this commentary was the growing disparity in the quantity and quality of genetic research in non European- ancestry populations. As the authors state, tobacco deaths disproportionately affect developing nations -- most of which are in the western Pacific region (including more than 300 million Chinese smokers) where more than 70% of males smoke cigarettes. The prevalence of reduced-activity cytochrome p450 2A6 (CYP2A6) genotypes in Chinese, Japanese, Thai, Indian and Malaysian smokers, which has been associated with reduced cigarette consumption but lower likelihood of quitting smoking in a recently published study (8) is an observation that suggests that the population impact of genetics in the most populous region of smokers in the world, is not trivial. As the authors note, this gene mediates nicotine metabolism, which has been associated with response to extended treatment NRT (9).

    I contend that the exploration of north-south partnerships to evaluate if the example of Sir David Weatherall, who used molecular medicine to extend treatment to millions of Asians with thalassemia, is a worthy calling in the broader application of genetics to the public health war on tobacco. While, unlike the thalassemias that are essentially completely genetically determined, the complex, multigenetic and environmentally-influenced syndrome of nicotine dependence has shown no sign of abating since the World Health Organization's important Framework Convention on Tobacco. Environmental interventions are effective when applied, but the most optimal public health interventions have not been widely applied in the regions of the world that need it most. Dismissing the potential role of genetics research to reduce health disparities is premature if one considers what might have been implausible a decade ago (treating millions of HIV/AIDS patients in Africa with Highly Antiretroviral Therapy [HAART]). We are far from being in a position to use pharmacogenetics to curb the tobacco epidemic but why make the case to reduce the priority of a potentially powerful technology before it has been put to the test -- one that consumes less than 1% of the NIH research budget for tobacco use. Moreover, evidence-based pharmacogenetics research is now a reality as a growing number of FDA-approved or required genetic tests are finally delivering on the promise of personalizing treatment for other disorders. An emerging health disparity -- a paucity of genetic research in non European-ancestry smokers -- can be addressed very directly by expanding the vision and scope of personalized medicine to reduce the death and disability of tobacco use.

    1. Welton NJ, Johnstone EC, David SP, Munafò MR. A cost-effectiveness analysis of genetic testing of the DRD2 Taq1A polymorphism to aid treatment choice for smoking cessation. Nicotine Tob Res. 2008;10(1):231-240.
    2. Heitjan DF, Asch DA, Ray R, Rukstalis M, Patterson F, Lerman C. Cost-effectiveness of pharmacogenetic testing to tailor smokingcessation treatment. Pharmacogenomics J. 2008;8(6):391-399.
    3. Uhl GR, Liu QR, Drgon T, Johnson C, Walther D, Rose JE, David SP, Niaura R, Lerman C. Molecular genetics of successful smoking cessation: convergent genome-wide association study results. Arch Gen Psychiatry. 2008;65(6):683-693.
    4. Uhl GR, Drgon T, Johnson C, Walther D, David SP, Aveyard P, Murphy M, Johnstone EC, Munafò MR. Genome-wide association for smoking cessation success: participants in the Patch in Practice trial of nicotine replacement. Pharmacogenomics. 2010 Mar;11(3):357-67.
    5. Swan GE, Javitz HS, Jack LM, Wessel J, Michel M, Hinds DA, Stokowksi RP, McClure JB, Catz SL, Richards J, Zbikowski SM, Deprey M, McAfee T, Conti DV, Bergen AW. Varenicline for smoking cessation: nausea severity and variation in nicotinic receptor genes.Pharmacogenomics J. 2011 May 24. [Epub ahead of print]
    6. Sarginson JE, Killen JD, Lazzeroni LC, Fortmann SP, Ryan HS, Schatzberg AF, Murphy GM Jr. Markers in the 15q24 nicotinic receptor subunit gene cluster (CHRNA5-A3-B4) predict severity of nicotine addiction and response to smoking cessation therapy. Am J Med Genet B Neuropsychiatr Genet. 2011 Apr;156B(3):275-84.
    7. Uhl GR, Drgon T, Johnson C, Rose JE. Nicotine abstinence genotyping: assessing the impact on smoking cessation clinical trials. Pharmacogenomics J. 2009 Apr;9(2):111-5.
    8. Liu T, David SP, Tyndale RF, Wang H, Zhou Q, Ding P, He YH, Yu XQ, Chen W, Crump C, Wen XZ, Chen WQ. Associations of CYP2A6 genotype with smoking behaviors in southern China. Addiction. 2011 May;106(5):985-94.
    9. Lerman C, Jepson C, Wileyto EP, et al. Genetic variation in nicotine metabolism predicts the effi cacy of extended-duration transdermal nicotine therapy. Clin Pharmacol Ther. 2010;87(5):553-557.

    Competing interests:   None declared

    Show Less
    Competing Interests: None declared.
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Personalized Medicine and Tobacco-Related Health Disparities: Is There a Role for Genetics?
Chris Carlsten, Abigail Halperin, Julia Crouch, Wylie Burke
The Annals of Family Medicine Jul 2011, 9 (4) 366-371; DOI: 10.1370/afm.1244

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Personalized Medicine and Tobacco-Related Health Disparities: Is There a Role for Genetics?
Chris Carlsten, Abigail Halperin, Julia Crouch, Wylie Burke
The Annals of Family Medicine Jul 2011, 9 (4) 366-371; DOI: 10.1370/afm.1244
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    • Abstract
    • THE CONTEXT OF THE PROBLEM
    • EVIDENCE THAT GENETIC KNOWLEDGE INCREASES SMOKING CESSATION
    • PERSONALIZED MEDICINE
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