Skip to main content

Biobanking in the Twenty-First Century: Driving Population Metrics into Biobanking Quality

  • Chapter
Book cover Biobanking in the 21st Century

Abstract

Biospecimens are the essential substrates for human biomarker research. Across the globe, biobanks have developed the facilities and mechanisms to collect, process, store and distribute those substrates to researchers. However, despite some notable successes, less than one hundred of the tens of thousands of purported biomarkers have been independently validated. We propose the need for a new paradigm in biobanking; simply pursuing larger numbers of participants, larger networks of biobanks and higher sample integrity will not, in itself, transform the success rate or efficiency of biomarker research. We propose that biobanks must embrace the intrinsic observational nature of biospecimens and furnish the recipients of biospecimens with the population metrics (descriptive statistics) that can facilitate the scientific rigor that is mandated in other areas of observational research. In addition, we discuss the value of population-based ascertainment and recruitment and the importance of the timing of biospecimen collections. Any assessment of biospecimen quality must go beyond the sample itself and consider both the patient/participant selection and the most appropriate and informative timing for specimen collection, particularly prior to any treatment intervention in diseased populations. The examples and rationales that we present are based largely on cancer-related collections because the feasibility of population metrics is greatly assisted by the comprehensive registries that are more common for cancer than other chronic diseases. Changing the biobanking paradigm from tacitly ‘experimental’ to explicitly ‘observational’ represents a profound but urgent methodological shift that will influence the establishment, management, reporting and impact of biobanks in the twenty-first century.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Henderson GE, Cadigan RJ, Edwards TP, Conlon I, Nelson AG, Evans JP et al (2013) Characterizing biobank organizations in the U.S.: results from a national survey. Genome Med 5(1):3

    Article  PubMed Central  PubMed  Google Scholar 

  2. Compton C (2007) Getting to personalized cancer medicine: taking out the garbage. Cancer 110(8):1641–1643

    Article  PubMed  Google Scholar 

  3. Hewitt RE (2011) Biobanking: the foundation of personalized medicine. Curr Opin Oncol 23(1):112–119

    Article  PubMed  Google Scholar 

  4. Olson JE, Ryu E, Johnson KJ, Koenig BA, Maschke KJ, Morrisette JA et al (2013) The Mayo Clinic Biobank: a building block for individualized medicine. Mayo Clin Proc 88(9):952–962

    Article  PubMed Central  PubMed  Google Scholar 

  5. Vaught J, Rogers J, Myers K, Lim MD, Lockhart N, Moore H et al (2011) An NCI perspective on creating sustainable biospecimen resources. J Natl Cancer Inst Monogr 2011(42):1–7

    Article  PubMed  Google Scholar 

  6. de Castro DG, Clarke PA, Al-Lazikani B, Workman P (2013) Personalized cancer medicine: molecular diagnostics, predictive biomarkers, and drug resistance. Clin Pharmacol Ther 93(3):252–259

    Article  Google Scholar 

  7. Khleif SN, Doroshow JH, Hait WN, Collaborative A-F-NCB (2010) AACR-FDA-NCI Cancer Biomarkers Collaborative consensus report: advancing the use of biomarkers in cancer drug development. Clin Cancer Res 16(13):3299–3318

    Article  CAS  PubMed  Google Scholar 

  8. Vineis P, Perera F (2007) Molecular epidemiology and biomarkers in etiologic cancer research: the new in light of the old. Cancer Epidemiol Biomarkers Prev 16(10):1954–1965

    Article  CAS  PubMed  Google Scholar 

  9. Wagner PD, Verma M, Srivastava S (2004) Challenges for biomarkers in cancer detection. In: Hoon DSB, Taback B (eds) Circulating nucleic acids in plasma/serum III and serum proteomics, vol 1022, Annals of the New York academy of sciences. New York Academy of Sciences, New York, pp 9–16

    Google Scholar 

  10. Hu SX, Aitken ML, Epstein AM, Trusheim MR, Berndt ER (2013) MARKET WATCH defining and quantifying the use of personalized medicines. Nat Rev Drug Discov 12(12):896–897

    Article  CAS  PubMed  Google Scholar 

  11. Ludwig JA, Weinstein JN (2005) Biomarkers in cancer staging, prognosis and treatment selection. Nat Rev Cancer 5(11):845–856

    Article  CAS  PubMed  Google Scholar 

  12. Ransohoff DF (2005) Bias as a threat to the validity of cancer molecular-marker research. Nat Rev Cancer 5(2):142–149

    Article  CAS  PubMed  Google Scholar 

  13. Ransohoff DF (2007) How to improve reliability and efficiency of research about molecular markers: roles of phases, guidelines, and study design. J Clin Epidemiol 60(12):1205–1219

    Article  PubMed  Google Scholar 

  14. McShane LM, Cavenagh MM, Lively TG, Eberhard DA, Bigbee WL, Williams PM et al (2013) Criteria for the use of omics-based predictors in clinical trials: explanation and elaboration. BMC Med 11:220

    Article  PubMed Central  PubMed  Google Scholar 

  15. Ransohoff DF, Gourlay ML (2010) Sources of bias in specimens for research about molecular markers for cancer. J Clin Oncol 28(4):698–704

    Article  PubMed Central  PubMed  Google Scholar 

  16. Rothman KJEPIDEMIOLOGICMETHODSIN (1977) Epidemiologic methods in clinical-trials. Cancer 39(4):1771–1775

    Article  CAS  PubMed  Google Scholar 

  17. Vandenbroucke JP, von Elm E, Altman DG, Gotzsche PC, Mulrow CD, Pocock SJ et al (2007) Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. PLoS Med 4(10):e297

    Article  PubMed Central  PubMed  Google Scholar 

  18. McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM (2005) Reporting recommendations for tumor marker prognostic studies. J Clin Oncol 23(36):9067–9072

    Article  PubMed  Google Scholar 

  19. Gallo V, Egger M, McCormack V, Farmer PB, Ioannidis JP, Kirsch-Volders M, Matullo G, Phillips DH, Schoket B, Stromberg U, Vermeulen R, Wild C, Porta M, Vineis P; STROBE Statement (2011) STrengthening the Reporting of OBservational studies in Epidemiology–Molecular Epidemiology (STROBEME): an extension of the STROBE statement. PLoS Med 8(10):e1001117. doi:10.1371/journal.pmed.1001117. Epub 2011 Oct 25. PMID: 22039356

  20. Pesch B, Bruning T, Johnen G, Casjens S, Bonberg N, Taeger D et al (2014) Biomarker research with prospective study designs for the early detection of cancer. Biochim Et Biophys Acta Proteins Proteomic 1844(5):874–883

    Article  CAS  Google Scholar 

  21. Pepe MS, Etzioni R, Feng Z, Potter JD, Thompson ML, Thornquist M et al (2001) Phases of biomarker development for early detection of cancer. J Natl Cancer Inst 93(14):1054–1061

    Article  CAS  PubMed  Google Scholar 

  22. Srivastava S (2013) The early detection research network: 10-year outlook. Clin Chem 59(1):60–67

    Article  CAS  PubMed  Google Scholar 

  23. Ransohoff DF (2004) Opinion – rules of evidence for cancer molecular-marker discovery and validation. Nat Rev Cancer 4(4):309–314

    Article  CAS  PubMed  Google Scholar 

  24. Pepe MS, Feng Z, Janes H, Bossuyt PM, Potter JD (2008) Pivotal evaluation of the accuracy of a biomarker used for classification or prediction: standards for study design. J Natl Cancer Inst 100(20):1432–1438

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  25. Rothwell PM (2005) External validity of randomised controlled trials: “to whom do the results of this trial apply?”. Lancet 365(9453):82–93

    Article  PubMed  Google Scholar 

  26. Mitry E, Rollot F, Jooste V, Guiu B, Lepage C, Ghiringhelli F et al (2013) Improvement in survival of metastatic colorectal cancer: are the benefits of clinical trials reproduced in population-based studies? Eur J Cancer 49(13):2919–2925

    Article  CAS  PubMed  Google Scholar 

  27. Elting LS, Cooksley C, Bekele BN, Frumovitz M, Avritscher EB, Sun C et al (2006) Generalizability of cancer clinical trial results: prognostic differences between participants and nonparticipants. Cancer 106(11):2452–2458

    Article  PubMed  Google Scholar 

  28. Pollock AM, Benster R, Vickers N (1995) Why did treatment rates for colorectal cancer in south east England fall between 1982 and 1988? The effect of case ascertainment and registration bias. J Public Health Med 17(4):419–428

    CAS  PubMed  Google Scholar 

  29. Ellenberg JH (1994) Selection bias in observational and experimental studies. Stat Med 13(5–7):557–567

    Article  CAS  PubMed  Google Scholar 

  30. Berger VW (2005) Quantifying the magnitude of baseline covariate imbalances resulting from selection bias in randomized clinical trials. Biom J Biom Z 47(2):119–127; discussion 28–39

    Article  Google Scholar 

  31. Hewitt R, Watson P (2013) Defining biobank. Biopreserv Biobank 11(5):309–315

    Article  PubMed  Google Scholar 

  32. Gunn PP, Fremont AM, Bottrell M, Shugarman LR, Galegher J, Bikson T (2004) The health insurance portability and accountability act privacy rule – a practical guide for researchers. Med Care 42(4):321–327

    Article  PubMed  Google Scholar 

  33. Kulynych J, Korn D (2003) The new HIPAA (Health Insurance Portability and Accountability Act of 1996) medical privacy rule – help or hindrance for clinical research? Circulation 108(8):912–914

    Article  PubMed  Google Scholar 

  34. Tu JV, Willison DJ, Silver FL, Fang J, Richards JA, Laupacis A et al (2004) Impracticability of informed consent in the Registry of the Canadian Stroke Network. N Engl J Med 350(14):1414–1421

    Article  CAS  PubMed  Google Scholar 

  35. Armstrong D, Kline-Rogers E, Jani SM, Goldman EB, Fang J, Mukherjee D et al (2005) Potential impact of the HIPAA privacy rule on data collection in a registry of patients with acute coronary syndrome. Arch Intern Med 165(10):1125–1129

    Article  PubMed  Google Scholar 

  36. Seiffert JE (1997) Development and use of the North American Association of Central Cancer Registries standards for cancer registries. Top Health Inf Manage 17(3):35–44

    CAS  PubMed  Google Scholar 

  37. McMullen L (2013) Oncology nurse navigators and the continuum of cancer care. Semin Oncol Nurs 29(2):105–117

    Article  PubMed  Google Scholar 

  38. Borugian MJ, Robson P, Fortier I, Parker L, McLaughlin J, Knoppers BM et al (2010) The Canadian partnership for tomorrow project: building a pan-Canadian research platform for disease prevention. CMAJ 182(11):1197–1201

    Article  PubMed Central  PubMed  Google Scholar 

  39. Bryant H, Robson PJ, Ullman R, Friedenreich C, Dawe U (2006) Population-based cohort development in Alberta, Canada: a feasibility study. Chronic Dis Can 27(2):51–59

    PubMed  Google Scholar 

  40. Riegman PH, Morente MM, Betsou F, de Blasio P, Geary P, Marble Arch International Working Group on Biobanking for Biomedical Research (2008) Biobanking for better healthcare. Mol Oncol 2(3):213–222

    Article  PubMed  Google Scholar 

  41. Boffetta P, Colditz GA, Potter JD, Kolonel L, Robson PJ, Malekzadeh R et al (2011) Cohorts and consortia conference: a summary report (Banff, Canada, June 17–19, 2009). Cancer Causes Control 22(3):463–468

    Article  PubMed  Google Scholar 

  42. Hanash SM, Baik CS, Kallioniemi O (2011) Emerging molecular biomarkers–blood-based strategies to detect and monitor cancer. Nat Rev Clin Oncol 8(3):142–150

    Article  PubMed  Google Scholar 

  43. Hundt S, Haug U, Brenner H (2007) Blood markers for early detection of colorectal cancer: a systematic review. Cancer Epidemiol Biomarkers Prev 16(10):1935–1953

    Article  CAS  PubMed  Google Scholar 

  44. Courneya KS, Vallance JK, Culos-Reed SN, McNeely ML, Bell GJ, Mackey JR et al (2012) The Alberta moving beyond breast cancer (AMBER) cohort study: a prospective study of physical activity and health-related fitness in breast cancer survivors. BMC Cancer 12:525

    Article  PubMed Central  PubMed  Google Scholar 

  45. Begg C, Cho M, Eastwood S, Horton R, Moher D, Olkin I et al (1996) Improving the quality of reporting of randomized controlled trials. The CONSORT statement. JAMA 276(8):637–639

    Article  CAS  PubMed  Google Scholar 

  46. Moher D, Hopewell S, Schulz KF, Montori V, Gotzsche PC, Devereaux PJ et al (2010) CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. BMJ Br Med J 340:c869

    Article  Google Scholar 

  47. Hughes SE, Barnes RO, Watson PH (2010) Biospecimen use in cancer research over two decades. Biopreserv Biobank 8(2):89–97

    Article  PubMed  Google Scholar 

  48. Moore HM, Kelly AB, Jewell SD, McShane LM, Clark DP, Greenspan R et al (2011) Biospecimen reporting for improved study quality (BRISQ). J Proteome Res 10(8):3429–3438

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  49. Barnes R, Albert M, Damaraju S, de Sousa-Hitzler J, Kodeeswaran S, Mes-Masson AM et al (2013) Generating a comprehensive set of standard operating procedures for a biorepository network-The CTRNet experience. Biopreserv Biobank 11(6):387–396

    Article  PubMed  Google Scholar 

  50. Matzke EAM, O’Donoghue S, Barnes RO, Daudt H, Cheah S, Suggitt A et al (2012) Certification for biobanks: the program developed by the Canadian tumour repository network (CTRNet). Biopreserv Biobank 10(5):426–432

    Article  PubMed  Google Scholar 

  51. Gail MH (2005) Frequency matching. Encyclopedia of biostatistics. John Wiley & Sons, Ltd, Chichester

    Google Scholar 

  52. Samy N, Abd El-Maksoud MD, Mousa TE, El-Mezayen HA, Shaalan M (2011) Potential role of serum level of soluble CD44 and IFN-gamma in B-cell chronic lymphocytic leukemia. Med Oncol 28(Suppl 1):S471–S475

    Article  PubMed  Google Scholar 

  53. Kong FM, Anscher MS, Murase T, Abbott BD, Iglehart JD, Jirtle RL (1995) Elevated plasma transforming growth factor-beta 1 levels in breast cancer patients decrease after surgical removal of the tumor. Ann Surg 222(2):155–162

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  54. Rocca A, Cancello G, Bagnardi V, Sandri MT, Torrisi R, Zorzino L et al (2009) Perioperative serum VEGF and extracellular domains of EGFR and HER2 in early breast cancer. Anticancer Res 29(12):5111–5119

    CAS  PubMed  Google Scholar 

  55. Hormbrey E, Han C, Roberts A, McGrouther DA, Harris AL (2003) The relationship of human wound vascular endothelial growth factor (VEGF) after breast cancer surgery to circulating VEGF and angiogenesis. Clin Cancer Res 9(12):4332–4339

    CAS  PubMed  Google Scholar 

  56. Perez-Rivas LG, Jerez JM, Fernandez-De Sousa CE, de Luque V, Quero C, Pajares B et al (2012) Serum protein levels following surgery in breast cancer patients: a protein microarray approach. Int J Oncol 41(6):2200–2206

    CAS  PubMed  Google Scholar 

  57. Xue G, Wang X, Yang Y, Liu D, Cheng Y, Zhou J et al (2014) Colon cancer-specific antigen-2 may be used as a detecting and prognostic marker in colorectal cancer: a preliminary observation. PLoS One 9(4):e94252

    Article  PubMed Central  PubMed  Google Scholar 

  58. Shim KS, Kim KH, Han WS, Park EB (1999) Elevated serum levels of transforming growth factor-beta1 in patients with colorectal carcinoma: its association with tumor progression and its significant decrease after curative surgical resection. Cancer 85(3):554–561

    Article  CAS  PubMed  Google Scholar 

  59. Belizon A, Balik E, Feingold DL, Bessler M, Arnell TD, Forde KA et al (2006) Major abdominal surgery increases plasma levels of vascular endothelial growth factor: open more so than minimally invasive methods. Ann Surg 244(5):792–798

    Article  PubMed Central  PubMed  Google Scholar 

  60. De Vita F, Orditura M, Lieto E, Infusino S, Morgillo F, Martinelli E et al (2004) Elevated perioperative serum vascular endothelial growth factor levels in patients with colon carcinoma. Cancer 100(2):270–278

    Article  PubMed  Google Scholar 

  61. Curigliano G, Petit JY, Bertolini F, Colleoni M, Peruzzotti G, de Braud F et al (2005) Systemic effects of surgery: quantitative analysis of circulating basic fibroblast growth factor (bFGF), vascular endothelial growth factor (VEGF) and transforming growth factor beta (TGF-beta) in patients with breast cancer who underwent limited or extended surgery. Breast Cancer Res Treat 93(1):35–40

    Article  CAS  PubMed  Google Scholar 

  62. Ordemann J, Jacobi CA, Schwenk W, Stosslein R, Muller JM (2001) Cellular and humoral inflammatory response after laparoscopic and conventional colorectal resections. Surg Endosc 15(6):600–608

    Article  CAS  PubMed  Google Scholar 

  63. Gabay C, Kushner I (1999) Acute-phase proteins and other systemic responses to inflammation. N Engl J Med 340(6):448–454

    Article  CAS  PubMed  Google Scholar 

  64. Perez RO, Sao Juliao GP, Habr-Gama A, Kiss D, Proscurshim I, Campos FG et al (2009) The role of carcinoembriogenic antigen in predicting response and survival to neoadjuvant chemoradiotherapy for distal rectal cancer. Dis Colon Rectum 52(6):1137–1143

    Article  PubMed  Google Scholar 

  65. Aldulaymi B, Christensen IJ, Soletormos G, Jess P, Nielsen SE, Laurberg S et al (2010) Chemoradiation-induced changes in serum CEA and plasma TIMP-1 in patients with locally advanced rectal cancer. Anticancer Res 30(11):4755–4759

    CAS  PubMed  Google Scholar 

  66. Lee JS, Son BH, Ahn SH (2012) The predictive value of serum HER2/neu for response to anthracycline-based and trastuzumab-based neoadjuvant chemotherapy. J Breast Cancer 15(2):189–196

    Article  PubMed Central  PubMed  Google Scholar 

  67. Gupta N, Goswami B, Mittal P (2012) Effect of standard anthracycline based neoadjuvant chemotherapy on circulating levels of serum IL-6 in patients of locally advanced carcinoma breast – a prospective study. Int J Surg 10(10):638–640

    Article  PubMed  Google Scholar 

  68. Banerjee S, Pancholi S, A’Hern R, Ghazoui Z, Smith IE, Dowsett M et al (2008) The effects of neoadjuvant anastrozole and tamoxifen on circulating vascular endothelial growth factor and soluble vascular endothelial growth factor receptor 1 in breast cancer. Clin Cancer Res 14(9):2656–2663

    Article  CAS  PubMed  Google Scholar 

  69. Winter MC, Wilson C, Syddall SP, Cross SS, Evans A, Ingram CE et al (2013) Neoadjuvant chemotherapy with or without zoledronic acid in early breast cancer–a randomized biomarker pilot study. Clin Cancer Res 19(10):2755–2765

    Article  CAS  PubMed  Google Scholar 

  70. Leon SA, Shapiro B, Sklaroff DM, Yaros MJ (1977) Free DNA in the serum of cancer patients and the effect of therapy. Cancer Res 37(3):646–650

    CAS  PubMed  Google Scholar 

  71. Kodahl AR, Zeuthen P, Binder H, Knoop AS, Ditzel HJ (2014) Alterations in circulating miRNA levels following early-stage estrogen receptor-positive breast cancer resection in post-menopausal women. PLoS One 9(7):e101950

    Article  PubMed Central  PubMed  Google Scholar 

  72. Jung EJ, Santarpia L, Kim J, Esteva FJ, Moretti E, Buzdar AU et al (2012) Plasma microRNA 210 levels correlate with sensitivity to trastuzumab and tumor presence in breast cancer patients. Cancer 118(10):2603–2614

    Article  CAS  PubMed  Google Scholar 

  73. Tenori L, Oakman C, Claudino WM, Bernini P, Cappadona S, Nepi S et al (2012) Exploration of serum metabolomic profiles and outcomes in women with metastatic breast cancer: A pilot study. Mol Oncol 6(4):437–444

    Article  CAS  PubMed  Google Scholar 

  74. Carlsson A, Wingren C, Kristensson M, Rose C, Ferno M, Olsson H et al (2011) Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases. Proc Natl Acad Sci U S A 108(34):14252–14257

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  75. Neal RD (2009) Do diagnostic delays in cancer matter? Br J Cancer 101(Suppl 2):S9–S12

    Article  PubMed Central  PubMed  Google Scholar 

  76. Wright GP, Wong JH, Morgan JW, Roy-Chowdhury S, Kazanjian K, Lum SS (2010) Time from diagnosis to surgical treatment of breast cancer: factors influencing delays in initiating treatment. Am Surg 76(10):1119–1122

    PubMed  Google Scholar 

  77. Lund L, Svolgaard N, Poulsen MH (2014) Prostate cancer: a review of active surveillance. Res Rep Urol 6:107–112

    PubMed Central  PubMed  Google Scholar 

  78. Simunovic M, Rempel E, Theriault ME, Baxter NN, Virnig BA, Meropol NJ et al (2009) Influence of delays to nonemergent colon cancer surgery on operative mortality, disease-specific survival and overall survival. Can J Surg 52(4):E79–E86

    PubMed Central  PubMed  Google Scholar 

  79. Eiseman E, Bloom G, Brower J, Clancy N, Olmsted SS (2003) Case studies of existing human tissue repositories. National Cancer Institute (ed). RAND. Santa Monica

    Google Scholar 

  80. Campos PF, Gilbert TM (2012) DNA extraction from formalin-fixed material. Methods Mol Biol 840:81–85

    Article  CAS  PubMed  Google Scholar 

  81. Berg D, Malinowsky K, Reischauer B, Wolff C, Becker KF (2011) Use of formalin-fixed and paraffin-embedded tissues for diagnosis and therapy in routine clinical settings. Methods Mol Biol 785:109–122

    Article  CAS  PubMed  Google Scholar 

  82. Kokkat TJ, Patel MS, McGarvey D, LiVolsi VA, Baloch ZW (2013) Archived formalin-fixed paraffin-embedded (FFPE) blocks: a valuable underexploited resource for extraction of DNA, RNA, and protein. Biopreserv Biobank 11(2):101–106

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  83. Wolff C, Schott C, Porschewski P, Reischauer B, Becker KF (2011) Successful protein extraction from over-fixed and long-term stored formalin-fixed tissues. PLoS One 6(1):e16353

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  84. Mahoney DW, Therneau TM, Anderson SK, Jen J, Kocher JP, Reinholz MM et al (2013) Quality assessment metrics for whole genome gene expression profiling of paraffin embedded samples. BMC Res Notes 6:33

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  85. Giusti L, Lucacchini A (2013) Proteomic studies of formalin-fixed paraffin-embedded tissues. Expert Rev Proteomics 10(2):165–177

    Article  CAS  PubMed  Google Scholar 

  86. Camp RL, Neumeister V, Rimm DL (2008) A decade of tissue microarrays: progress in the discovery and validation of cancer biomarkers. J Clin Oncol 26(34):5630–5637

    Article  PubMed  Google Scholar 

  87. Ransohoff DF (2013) Cultivating cohort studies for observational translational research. Cancer Epidemiol Biomarkers Prev 22(4):481–484

    Article  PubMed Central  PubMed  Google Scholar 

  88. Scudellari M (2013) Biobank managers bemoan underuse of collected samples. Nat Med 19(3):253

    Article  CAS  PubMed  Google Scholar 

  89. Eiseman E, Bloom G, Brower J, Clancy N, Olmsted SS (2003) Case studies of existing human tissue repositories. In: National Cancer Institute of Cancer, editor. RAND, Santa Monica

    Google Scholar 

Download references

Acknowledgements

We would like to thank Dr. C. M. Friedenreich for her insightful review of this book chapter along with the Alberta Cancer Foundation and the Canadian Breast Cancer Foundation for their generous funding and support of the Alberta Cancer Research Biobank.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nigel T. Brockton Ph.D. .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Roberts, J.N. et al. (2015). Biobanking in the Twenty-First Century: Driving Population Metrics into Biobanking Quality. In: Karimi-Busheri, F. (eds) Biobanking in the 21st Century. Advances in Experimental Medicine and Biology, vol 864. Springer, Cham. https://doi.org/10.1007/978-3-319-20579-3_8

Download citation

Publish with us

Policies and ethics