1. Goodman, SN, Fanelli, D, Ioannidis, JPA. What does research reproducibility mean? Sci Transl Med. 2016;8:341ps312.
Google Scholar | Crossref | Medline2. Freedman, LP, Venugopalan, G, Wisman, R. Reproducibility2020: progress and priorities. F1000Res. 2017;6:604.
Google Scholar | Crossref | Medline3. Jamal-Hanjani, M, Wilson, GA, Horswell, S, et al. Detection of ubiquitous and heterogeneous mutations in cell-free DNA from patients with early-stage non-small-cell lung cancer. Ann Oncol. 2016;27:862-867.
Google Scholar | Crossref | Medline4. Holm, M, Andersson, E, Osterlund, E, et al. Detection of KRAS mutations in liquid biopsies from metastatic colorectal cancer patients using droplet digital PCR, Idylla, and next generation sequencing. PLoS One. 2020;15:e0239819.
Google Scholar | Crossref | Medline5. Abbosh, C, Birkbak, NJ, Wilson, GA, et al. Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution. Nature. 2017;545:446-451.
Google Scholar | Crossref | Medline6. Dawson, SJ, Tsui, DW, Murtaza, M, et al. Analysis of circulating tumor DNA to monitor metastatic breast cancer. N Engl J Med. 2013;368:1199-1209.
Google Scholar | Crossref | Medline | ISI7. Coombes, RC, Page, K, Salari, R, et al. Personalized detection of circulating tumor DNA antedates breast cancer metastatic recurrence. J Clin Cancer Res. 2019;25:4255-4263.
Google Scholar | Crossref8. Siravegna, G, Marsoni, S, Siena, S, Bardelli, A. Integrating liquid biopsies into the management of cancer. Nat Rev Clin Oncol. 2017;14:531-548.
Google Scholar | Crossref | Medline | ISI9. Rush, A, Spring, K, Byrne, JA. A critical analysis of cancer biobank practices in relation to biospecimen quality. Biophys Rev. 2015;7:369-378.
Google Scholar | Crossref | Medline10. Ling, R, Rush, A, Carter, C, et al. An Australian biobank certification scheme: a study of economic costs to participating biobanks. Biopreserv Biobank. 2018;16:53-58.
Google Scholar | Crossref | Medline11. Carpenter, JE, Rush, A, Carter, C. Adaptation of a biobank certification program for Australia. Med J Aust. 2017;206:325-326.
Google Scholar | Crossref | Medline12. Litton, JE . Launch of an Infrastructure for health research: BBMRI-ERIC. Biopreserv Biobank. 2018;16:233-241.
Google Scholar | Crossref | Medline13. McCall, SJ, Branton, PA, Blanc, VM, et al. The College of American Pathologists Biorepository Accreditation Program: results from the first 5 years. Biopreserv Biobank. 2018;16:16-22.
Google Scholar | Crossref | Medline14. Barnes, RO, Shea, KE, Watson, PH. The Canadian tissue repository network biobank certification and the College of American Pathologists Biorepository Accreditation Programs: two strategies for knowledge dissemination in biobanking. Biopreserv Biobank. 2017;15:9-16.
Google Scholar | Crossref | Medline15. Speirs, V, Foden, H, Hair, J, et al. The cellular and molecular pathology biobanking sample quality improvement tool: a guide for improving the quality of tissue collections for biomedical research and clinical trials in cancer. Biopreserv Biobank. 2020;19:86-90.
Google Scholar | Crossref | Medline16. Hartman, V, Castillo-Pelayo, T, Babinszky, S, et al. Is your biobank up to standards? A review of the national Canadian tissue repository network required operational practice standards and the controlled documents of a certified biobank. Biopreserv Biobank. 2018;16:36-41.
Google Scholar | Crossref | Medline17. Hartman, V, Gali, B, Dee, S, et al. Canadian Tissue Repository Network Biobank Certification Program: update and review of the program from 2011 to 2018. Biopreserv Biobank. 2019;17:530-538.
Google Scholar | Crossref | Medline18. Campbell, LD, Astrin, JJ, DeSouza, Y, et al. The 2018 revision of the ISBER best practices: summary of changes and the editorial team’s development process. Biopreserv Biobank. 2018;16:3-6.
Google Scholar | Crossref | Medline19. ISBER . Accessed March 5, 2021. https://www.isber.org
Google Scholar20. Carithers, LJ, Agarwal, R, Guan, P, et al. The biospecimen preanalytical variables program: a multiassay comparison of effects of delay to fixation and fixation duration on nucleic acid quality. Arch Pathol Lab Med. 2019;143:1106-1118.
Google Scholar | Crossref | Medline21. Vassilakopoulou, M, Parisi, F, Siddiqui, S, et al. Preanalytical variables and phosphoepitope expression in FFPE tissue: quantitative epitope assessment after variable cold ischemic time. Lab Invest. 2015;95:334-341.
Google Scholar | Crossref | Medline22. Poremba, C, Uhlendorff, J, Pfitzner, BM, et al. Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer. Virchows Arch. 2014;465:409-417.
Google Scholar | Crossref | Medline23. Song, SY , et al. Biobanking of fresh-frozen cancer tissue: RNA is stable independent of tissue type with less than 1 hour of cold ischemia. Biopreserv Biobank. 2018;16:28-35.
Google Scholar | Crossref | Medline24. Dowsett, T, Verghese, E, Pollock, S, et al. The value of archival tissue blocks in understanding breast cancer biology. J Clin Pathol. 2014;67:272-275.
Google Scholar | Crossref | Medline25. Zhang, X, Han, Q-Y, Zhao, Z-S, et al. Biobanking of fresh-frozen gastric cancer tissues: impact of long-term storage and clinicopathological variables on RNA quality. Biopreserv Biobank. 2019;17:58-63.
Google Scholar | Crossref | Medline26. Rudloff, U, Bhanot, U, Gerald, W, et al. Biobanking of human pancreas cancer tissue: impact of ex-vivo procurement times on RNA quality. Ann Surg Oncol. 2010;17:2229-2236.
Google Scholar | Crossref | Medline | ISI27. Freedman, LP, Cockburn, IM, Simcoe, TS. The economics of reproducibility in preclinical research. PLoS Biol. 2015;13:e1002165.
Google Scholar | Crossref | Medline | ISI28. Breast Cancer Now Tissue Bank . Accessed March 5, 2021. https://breastcancernow.org/breast-cancer-research/breast-cancer-now-tissue-bank
Google Scholar29. Find My Assay . Accessed March 5, 2021. https://www.findmyassay.com
Google Scholar30. Integrated Biobank of Luxembourg . Accessed March 5, 2021. https://www.ibbl.lu/
Google Scholar31. Wong, V, Wang, D-Y, Warren, K, et al. The effects of timing of fine needle aspiration biopsies on gene expression profiles in breast cancers. BMC Cancer. 2008;8:277.
Google Scholar | Crossref | Medline32. Bergamini, S, Bellei, E, Bonetti, LR, et al. Inflammation: an important parameter in the search of prostate cancer biomarkers. Proteome Sci. 2014;12:32.
Google Scholar | Crossref | Medline33. Blyth, KG . Inconsistent results or inconsistent methods? A plea for standardisation of biomarker sampling in mesothelioma studies. Thorax. 2015;70:374.
Google Scholar | Crossref | Medline34. Simera, I, Altman, DG, Moher, D, Schulz, KF, Hoey, J. Guidelines for reporting health research: the EQUATOR network’s survey of guideline authors. PLoS Med. 2008;5:e139.
Google Scholar | Crossref | Medline | ISI35. Brazma, A, Hingamp, P, Quackenbush, J, et al. Minimum information about a microarray experiment (MIAME)—toward standards for microarray data. Nat Genet. 2001;29:365-371.
Google Scholar | Crossref | Medline | ISI36. MINESEQ . 2012. Accessed March 5, 2021. http://fged.org/site_media/pdf/MINSEQE_1.0.pdf
Google Scholar37. Kilkenny, C, Browne, WJ, Cuthill, IC, Emerson, M, Altman, DG. Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research. PLoS Biol. 2010;8:e1000412.
Google Scholar | Crossref | Medline | ISI38. Percie du Sert, N, Ahluwalia, A, Alam, S, et al. Reporting animal research: explanation and elaboration for the ARRIVE guidelines 2.0. PLoS Biol. 2020;18:e3000411.
Google Scholar | Crossref | Medline39. McShane, LM, Altman, DG, Sauerbrei, W, et al. REporting recommendations for tumour MARKer prognostic studies (REMARK). Br J Cancer. 2005;93:387-391.
Google Scholar | Crossref | Medline | ISI40. Betsou, F, Lehmann, S, Ashton, G, et al. Standard preanalytical coding for biospecimens: defining the sample PREanalytical code. Cancer Epidemiol Biomarkers Prev. 2010;19:1004-1011.
Google Scholar | Crossref | Medline | ISI41. Moore, HM, Kelly, AB, Jewell, SD, et al. Biospecimen reporting for improved study quality (BRISQ). Cancer Cytopathol. 2011;119:92-101.
Google Scholar | Crossref | Medline42. Braun, L, Lesperance, M, Mes-Massons, AM, Tsao, MS, Watson, PH. Individual investigator profiles of biospecimen use in cancer research. Biopreserv Biobank. 2014;12:192-198.
Google Scholar | Crossref | Medline43. Quinlan, PR , et al. The informatics challenges facing biobanks: a perspective from a United Kingdom biobanking network. Biopreserv Biobank. 2015;13:363-370.
Google Scholar | Crossref | Medline44. Yang, L, Chen, Y, Yu, C, Shen, B. Biobanks and their clinical application and informatics challenges. Adv Exp Med Biol. 2016;939:241-257.
Google Scholar | Crossref | Medline45. Gadaleta, E, Pirrò, S, Dayem Ullah, AZ, Marzec, J, Chelala, C. BCNTB bioinformatics: the next evolutionary step in the bioinformatics of breast cancer tissue banking. Nucleic Acids Res. 2018;46:D1055-D1061.
Google Scholar | Crossref | Medline46. Balarajah, V, Ambily, A, Ullah, AZD, et al. Pancreatic cancer tissue banks: where are we heading? Future Oncol. 2016;12:2661-2663.
Google Scholar | Crossref | Medline47. Modi, N, Ashby, D, Battersby, C, et al. Developing routinely recorded clinical data from electronic patient records as a national resource to improve neonatal health care: the Medicines for Neonates research programme (NIHR Journals Library Copyright © Queen’s Printer and Controller of HMSO 2019. This work was produced by Modi et al. under the terms of a commissioning contract issued by the Secretary of State for Health and Social Care. This issue may be freely reproduced for the purposes of private research and study and extracts (or indeed, the full report) may be included in professional journals provided that suitable acknowledgement is made and the reproduction is not associated with any form of advertising. Applications for commercial reproduction should be addressed to: NIHR Journals Library, National Institute for Health Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK., 2019).
Google Scholar48. Sherman, ME, Figueroa, JD, Henry, JE, Clare, SE, Rufenbarger, C, Storniolo, AM. The Susan G. Komen for the Cure Tissue Bank at the IU Simon Cancer Center: a unique resource for defining the “molecular histology” of the breast. Cancer Prev Res (Phila). 2012;5:528-535.
Google Scholar | Crossref | Medline49. Wright, AI, Grabsch, HI, Treanor, DE. RandomSpot: a web-based tool for systematic random sampling of virtual slides. J Pathol Inform. 2015;6:8.
Google Scholar | Crossref | Medline50. Downey, C, Simpkins, SA, White, J, et al. The prognostic significance of tumour–stroma ratio in oestrogen receptor-positive breast cancer. Br J Cancer. 2014;110:1744-1747.
Google Scholar | Crossref | Medline