Cited by 19Ethics in Clinical ResearchStatistical Methods in Clinical TrialsBiomedical Ethics and Regulation

Ethical considerations of neuro-oncology trial design in the era of precision medicine

Open access
Gupta, Saksham, Smith, Timothy R., Broekman, Marike L.·2017·Journal of Neuro-Oncology

Abstract

The field of oncology is currently undergoing a paradigm shift. Advances in the understanding of tumor biology and in tumor sequencing technology have contributed to the shift towards precision medicine, the therapeutic framework of targeting the individual oncogenic changes each tumor harbors. The success of precision medicine therapies, such as targeted kinase inhibitors and immunotherapies, in other cancers have motivated studies in brain cancers. The high specificity and cost of these therapies also encourage a shift in clinical trial design away from randomized control trials towards smaller, more exclusive early phase clinical trials. While these new trials advance the clinical application of increasingly precise and individualized therapies, their design brings ethical challenges . We review the pertinent ethical considerations for clinical trials of precision medicine in neuro-oncology and discuss methods to protect patients in this new era of trial design.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s11060-017-2502-0

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The high specificity and costs of therapies mean that drugs are tested in smaller clinical trials rather than in large randomized controlled trials and even if several small trials have shown no risks, a level of uncertainty remains.

    “The high specificity and costs of therapies mean that drugs are tested in smaller clinical trials rather than in large randomized controlled trials and even if several small trials have shown no risks, a level of uncertainty remains [10].”
  • Avoiding telling patients about their genetic disposition for a treatable disease can also be harmful, as it deprives patients and their families of the opportunity for prevention and screening.

    “However, avoiding telling patients about their genetic disposition for a treatable disease can also be harmful, as it deprives patients and their families of the opportunity for prevention and screening [10].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 33

  1. Chapman PB, Hauschild A, Robert C et al (2011) Improved survival with vemurafenib in melanoma with BRAF V600E mutation. N Engl J Med 364(26):2507–2516 · DOI · Paper page
  2. Rosell R, Carcereny E, Gervais R et al (2012) Erlotinib versus standard chemotherapy as first-line treatment for European patients with advanced EGFR mutation-positive non-small-cell lung cancer (EURTAC): a multicentre, open-label, randomised phase 3 trial. Lancet Oncol 13(3):239–246 · DOI · Paper page
  3. Yarden Y (2001) The EGFR family and its ligands in human cancer. signalling mechanisms and therapeutic opportunities. Eur J Cancer 37(Suppl 4):S3–S8 · DOI
  4. Sawyers C (2004) Targeted cancer therapy. Nature 432(7015):294–297 · DOI
  5. Brastianos PK, Shankar GM, Gill CM et al (2016) Dramatic response of BRAF V600E mutant papillary craniopharyngioma to targeted therapy. J Natl Cancer Inst 108(2):djv310 · DOI
  6. Prados MD, Chang SM, Butowski N et al (2009) Phase II study of erlotinib plus temozolomide during and after radiation therapy in patients with newly diagnosed glioblastoma multiforme or gliosarcoma. J Clin Oncol 27(4):579–584 · DOI
  7. Norden AD, Drappatz J, Wen PY (2007) Targeted drug therapy for meningiomas. Neurosurg Focus 23(4):E12 · DOI
  8. McGowan ML, Settersten RA Jr, Juengst ET, Fishman JR (2014) Integrating genomics into clinical oncology: ethical and social challenges from proponents of personalized medicine. Urol Oncol 32(2):187–192 · DOI
  9. Wagle N, Berger MF, Davis MJ et al (2012) High-throughput detection of actionable genomic alterations in clinical tumor samples by targeted, massively parallel sequencing. Cancer Discov 2(1):82–93 · DOI
  10. Brannon AR, Sawyers CL (2013) “N of 1” case reports in the era of whole-genome sequencing. J Clin Invest 123(11):4568–4570 · DOI
  11. Murray MF (2014) Educating physicians in the era of genomic medicine. Genome Med 6(6):45 · DOI
  12. Graham S, Brookey J (2008) Do patients understand? Perm J 12(3):67–69 · DOI
  13. Ciardiello F, Adams R, Tabernero J et al (2016) Awareness, understanding, and adoption of precision medicine to deliver personalized treatment for patients with cancer: a multinational survey comparison of physicians and patients. Oncologist 21(3):292–300 · DOI · Paper page
  14. Bombard Y, Robson M, Offit K (2013) Revealing the incidentalome when targeting the tumor genome. JAMA 310(8):795–796 · DOI
  15. Parens E (2015) Drifting away from informed consent in the era of personalized medicine. Hastings Cent Rep 45(4):16–20 · DOI
  16. Bredenoord AL, Onland-Moret NC, Van Delden JJ (2011) Feedback of individual genetic results to research participants: in favor of a qualified disclosure policy. Hum Mutat 32(8):861–867 · DOI
  17. Bijlsma RM, Bredenoord AL, Gadellaa-Hooijdonk CG, et al (2016) Unsolicited findings of next-generation sequencing for tumor analysis within a Dutch consortium: clinical daily practice reconsidered. Eur J Hum Genet 24:1496–1500 · DOI
  18. Everett JN, Gustafson SL, Raymond VM (2014) Traditional roles in a non-traditional setting: genetic counseling in precision oncology. J Genet Couns 23(4):655–660 · DOI
  19. Bradbury AR, Patrick-Miller L, Long J et al (2015) Development of a tiered and binned genetic counseling model for informed consent in the era of multiplex testing for cancer susceptibility. Genet Med 17(6):485–492 · DOI
  20. Fiore RN, Goodman KW (2016) Precision medicine ethics: selected issues and developments in next-generation sequencing, clinical oncology, and ethics. Curr Opin Oncol 28(1):83–87 · DOI
  21. Fleck LM (2014) Just caring: assessing the ethical and economic costs of personalized medicine. Urol Oncol 32(2):202–206 · DOI
  22. Kaufman DJ, Baker R, Milner LC, Devaney S, Hudson KL (2016) A Survey of US adults’ opinions about conduct of a nationwide Precision Medicine Initiative® cohort study of genes and environment. PLoS ONE 11(8):e0160461 · DOI
  23. Lewis J, Lipworth W, Kerridge I (2014) Ethics, evidence and economics in the pursuit of “personalized medicine”. J Pers Med 4(2):137–146 · DOI
  24. Petersen KE, Prows CA, Martin LJ, Maglo KN (2014) Personalized medicine, availability, and group disparity: an inquiry into how physicians perceive and rate the elements and barriers of personalized medicine. Public Health Genom 17(4):209–220 · DOI · Paper page
  25. Budin-Ljosne I, Harris JR (2015) Ask not what personalized medicine can do for you–ask what you can do for personalized medicine. Public Health Genom 18(3):131–138 · DOI
  26. Prince AE, Roche MI (2014) Genetic information, non-discrimination, and privacy protections in genetic counseling practice. J Genet Couns 23(6):891–902 · DOI
  27. Klitzman R (2010) Views of discrimination among individuals confronting genetic disease. J Genet Couns 19(1):68–83 · DOI
  28. Preserving Employee Wellness Programs Act Foxx V, trans. 115th Congress ed2018.
  29. Kim C, Giaccone G (2016) Lessons learned from BATTLE-2 in the war on cancer: the use of Bayesian method in clinical trial design. Ann Transl Med 4(23):466 · DOI
  30. Bombard Y, Bach PB, Offit K (2013) Translating genomics in cancer care. J Natl Compr Cancer Netw 11(11):1343–1353 · DOI
  31. Wauters A, Van Hoyweghen I (2016) Global trends on fears and concerns of genetic discrimination: a systematic literature review. J Hum Genet 61(4):275–282 · DOI
  32. Roche MI, Berg JS (2015) Incidental findings with genomic testing: implications for genetic counseling practice. Curr Genet Med Rep 3(4):166–176 · DOI
  33. Lynam EB, Leaw J, Wiener MB (2012) A patient focused solution for enrolling clinical trials in rare and selective cancer indications: a landscape of haystacks and needles. Drug Inf J 46(4):472–478 · DOI

Cited by

Sorted by citations

Authors
Gupta, S., Smith, T. R., & Broekman, M. L.
Affiliations
Brigham and Women's Hospital (US)
Corresponding author
Broekman, Marike L.
Venue
Journal of Neuro-Oncology
Published
2017-05-29
Volume
134
Issue
1
Pages
1-7
ISSN
  • 0167-594X (ISSN-L)
  • 1573-7373
OpenAlex
W2617990204
Cited by
19
References
1
Citations by year
2026: 5 · 2025: 4 · 2024: 3 · 2022: 1 · 2021: 2 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 1
FWCI
0.13
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuro-Oncology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Health Sciences › Nursing › Issues, ethics and legal aspects › Biomedical Ethics and Regulation
Keywords
neuro-oncology, clinical trial design, precision medicine, research ethics, brain tumors, targeted therapy, immunotherapy, patient protection, tumor sequencing
MeSH terms
Clinical Studies as Topic, Humans, Medical Oncology, Neoplasms, Neurology, Precision Medicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review