The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
In Vitro Human Cell Line Models to Predict Clinical Response to Anticancer Drugs
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
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?
In the citing paper
“Within the category of model system cell lines, immortalized types like EBV-transformed lymphoblastoid cell lines (LCLs) are frequently utilized to assess how genetic diversity impacts the effectiveness and safety of drugs [39].”
From Cell Immortality: In Vitro Effective Techniques to Achieve and Investigate Its Applications and Challenges (2024) · cites this paper as [39]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
Self-citationAn integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
The International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057
Systematic identification of genomic markers of drug sensitivity in cancer cells
Garnett, M. J., Edelman, E. J., Heidorn, S. J., Greenman, C. D., Dastur, A., Lau, K. W., Greninger, P., Thompson, I. R., Luo, X., Soares, J., et al. (2012) · Nature · doi:10.1038/nature11005 · Cited by 2,456
Garraway, L. A., Widlund, H. R., Rubin, M. A., Getz, G., Berger, A. J., Ramaswamy, S., Beroukhim, R., Milner, D. A., Granter, S. R., Du, J., et al. (2005) · Nature · doi:10.1038/nature03664 · Cited by 1,548
FKBP51 Affects Cancer Cell Response to Chemotherapy by Negatively Regulating Akt
Pei, H., Li, L., Fridley, B. L., Jenkins, G. D., Kalari, K. R., Lingle, W., Petersen, G., Lou, Z., & Wang, L. (2009) · Cancer Cell · doi:10.1016/j.ccr.2009.07.016 · Cited by 709
Self-citationGene expression perturbation in vitro—A growing case for three-dimensional (3D) culture systems
Birgersdotter, A., Sandberg, R., & Ernberg, I. (2005) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2005.06.009 · Cited by 591
Inconsistency in large pharmacogenomic studies
Haibe-Kains, B., El-Hachem, N., Birkbak, N. J., Jin, A. C., Beck, A. H., Aerts, H. J. W. L., & Quackenbush, J. (2013) · Nature · doi:10.1038/nature12831 · Cited by 499
The role of tumour-stromal interactions in modifying drug response: challenges and opportunities
McMillin, D. W., Negri, J. M., & Mitsiades, C. S. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd3870 · Cited by 474
DNA methylation contributes to natural human variation
Heyn, H., Moran, S., Hernando-Herraez, I., Sayols, S., Gomez, A., Sandoval, J., Monk, D., Hata, K., Marques-Bonet, T., Wang, L., et al. (2013) · Genome Research · doi:10.1101/gr.154187.112 · Cited by 408
Self-citation
Research works printed but not linked: 118
- 10.1056/NEJMra1010600 · DOI
- Voskoglou-Nomikos T , PaterJL , SeymourL . Clinical predictive value of the in vitro cell line, human xenograft, and mouse allograft preclinical cancer models . Clin. Cancer Res.9 ( 11 ), 4227 – 4239 ( 2003 ).
- 10.1158/0008-5472.CAN-04-0340 · DOI
- 10.1186/gb-2011-12-5-r46 · DOI
- 10.1158/1535-7163.MCT-08-0248 · DOI
- 10.1086/519850 · DOI
- 10.1158/1078-0432.CCR-11-0724 · DOI
- 10.1158/2159-8290.CD-13-0038 · DOI
- 10.1200/JCO.2010.28.5064 · DOI
- 10.3389/fgene.2013.00166 · DOI
- 10.1186/1471-2164-11-357 · DOI
- 10.1186/1471-2164-15-292 · DOI
- 10.1158/0008-5472.CAN-08-0405 · DOI
- 10.1371/journal.pone.0007765 · DOI
- 10.1186/1471-2164-15-93 · DOI
- 10.1097/FPC.0b013e32834dd7e2 · DOI
- 10.1210/me.2012-1397 · DOI
- 10.1101/gr.107672.110 · DOI
- 10.1186/1471-2407-12-422 · DOI
- 10.1097/FPC.0b013e3283396c4e · DOI
- 10.1186/1479-7364-3-2-128 · DOI
- 10.1371/journal.pgen.1004192 · DOI
- 10.1158/1078-0432.CCR-11-1133 · DOI
- 10.1158/1078-0432.CCR-12-2618 · DOI
- 10.1007/s00439-008-0601-x · DOI
- 10.1016/j.trsl.2011.01.005 · DOI
- 10.1038/nrc1951 · DOI
- 10.1371/journal.pone.0040062 · DOI
- 10.1186/1471-2164-13-477 · DOI
- 10.1186/1471-2164-12-464 · DOI
- 10.4161/epi.6.4.14876 · DOI
- 10.1126/science.1174148 · DOI
- 10.1371/journal.pgen.1000608 · DOI
- 10.1002/jnr.22000 · DOI
- 10.1371/journal.pgen.1000287 · DOI
- 10.2217/pgs.11.121 · DOI
- 10.1038/ng0105-2 · DOI
- 10.2217/pgs.11.24 · DOI
- 10.1093/ije/dym285 · DOI
- 10.1002/sim.3274 · DOI
- 10.1371/journal.pone.0043301 · DOI
- 10.1089/omi.2011.0126 · DOI
- 10.1089/omi.2013.0099 · DOI
- 10.1097/FPC.0b013e32834a48a9 · DOI
- 10.1002/sim.3649 · DOI
- 10.1371/journal.pone.0036252 · DOI
- 10.1016/j.ccr.2011.05.006 · DOI
- 10.1371/journal.pone.0070216 · DOI
- 10.1038/leu.2011.74 · DOI
- 10.1186/bcr3137 · DOI
- 10.1038/ng2142 · DOI
- 10.1182/blood-2012-10-464149 · DOI
- 10.1056/NEJMoa0911353 · DOI
- 10.1097/FPC.0b013e3283589c50 · DOI
- 10.2217/pgs.13.213 · DOI
- 10.1038/nbt1001-940 · DOI
- 10.1073/pnas.0808757105 · DOI
- 10.4161/cc.9.1.10474 · DOI
- 10.1016/j.crvi.2003.08.005 · DOI
- 10.1158/1535-7163.MCT-07-0009 · DOI
- 10.1038/sj.bjc.6602928 · DOI
- 10.1158/0008-5472.CAN-06-2698 · DOI · Paper page
- 10.1126/science.1218595 · DOI · Paper page
- 10.1158/1535-7163.MCT-08-0921 · DOI · Paper page
- 10.1016/j.celrep.2013.07.018 · DOI · Paper page
- 10.1073/pnas.2331323100 · DOI
- 10.1371/journal.pone.0049918 · DOI
- Roschke AV , TononG , GehlhausKSet al. Karyotypic complexity of the NCI-60 drug-screening panel . Cancer Res.63 ( 24 ), 8634 – 8647 ( 2003 ).
- 10.1038/73432 · DOI · Paper page
- 10.1371/journal.pone.0031628 · DOI
- 10.1158/1535-7163.MCT-06-0650 · DOI
- 10.1186/1471-2105-12-S1-S36 · DOI
- 10.1126/science.275.5298.343 · DOI
- 10.1186/gm330 · DOI
- 10.1158/1541-7786.MCR-12-0690 · DOI
- 10.1186/1752-0509-7-14 · DOI
- 10.1038/463858a · DOI
- 10.1038/73439 · DOI
- 10.1158/1535-7163.MCT-05-0155 · DOI
- 10.1158/1535-7163.MCT-08-0589 · DOI
- 10.1158/1535-7163.MCT-06-0447 · DOI
- 10.1158/1535-7163.MCT-06-0433 · DOI
- 10.1158/1535-7163.MCT-07-2308 · DOI
- 10.1158/1535-7163.MCT-09-0743 · DOI
- 10.1186/1471-2164-10-277 · DOI
- 10.1371/journal.pone.0092047 · DOI
- 10.1371/journal.pone.0046518 · DOI
- 10.1073/pnas.1205943109 · DOI
- 10.1097/FPC.0000000000000015 · DOI
- 10.1186/1741-7015-11-106 · DOI
- 10.1016/j.bmc.2012.01.017 · DOI
- 10.1124/mol.107.038836 · DOI
- 10.1016/j.ccr.2006.10.008 · DOI
- 10.1186/1471-2105-11-305 · DOI
- 10.1093/nar/gkt643 · DOI
- 10.1074/mcp.M112.023119 · DOI
- 10.1073/pnas.1018854108 · DOI
- 10.1186/1741-7015-7-77 · DOI
- 10.1007/s10549-012-2188-0 · DOI
- 10.1186/gb-2009-10-3-r31 · DOI
- 10.1158/0008-5472.CAN-08-3389 · DOI
- 10.1186/gb-2013-14-10-r110 · DOI
- 10.1158/0008-5472.CAN-14-0013 · DOI · Paper page
- 10.1158/0008-5472.CAN-04-0328 · DOI
- 10.1073/pnas.1218750110 · DOI
- Schlicker A , BeranG , ChrestaCMet al. Subtypes of primary colorectal tumors correlate with response to targeted treatment in colorectal cell lines . BMC Med.Genomics 5 , 66 ( 2012 ).
- 10.1158/0008-5472.CAN-09-3788 · DOI
- 10.1186/gb-2014-15-3-r47 · DOI
- 10.1038/nature12839 · DOI
- 10.1038/nchembio.1337 · DOI
- 10.1073/pnas.0813333106 · DOI
- 10.1016/j.cell.2006.07.024 · DOI · Paper page
- 10.4161/cc.9.5.10827 · DOI
- 10.1182/blood-2011-01-332064 · DOI
- 10.1172/JCI44422 · DOI
- 10.4161/cc.27770 · DOI
- 10.1016/j.molonc.2007.02.004 · DOI · Paper page
- 10.1371/journal.pcbi.1000684 · DOI
Cited by
Nunes, A. S., Barros, A. S., Costa, E. C., Moreira, A. F., & Correia, I. J. (2019) · Biotechnology and Bioengineering · doi:10.1002/bit.26845 · Cited by 721
Bauleth-Ramos, T., Feijão, T., Gonçalves, A., Shahbazi, M.-A., Liu, Z., Barrias, C., Oliveira, M. J., Granja, P., Santos, H. A., & Sarmento, B. (2020) · Journal of Controlled Release · doi:10.1016/j.jconrel.2020.04.025 · Cited by 79
Chalak, M., Hesaraki, M., Mirbahari, S. N., Yeganeh, M., Abdi, S., Rajabi, S., & Hemmatzadeh, F. (2024) · Life · doi:10.3390/life14030417 · Cited by 66
Gu, M., Yang, M., He, J., Xia, S., Zhang, Z., Wang, Y., Zheng, C., & Shen, C. (2022) · International Journal of Cancer · doi:10.1002/ijc.33789 · Cited by 11
Metadata
- Authors
- Niu, N., & Wang, L.
- Affiliations
- Division of Clinical Pharmacology, Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Venue
- Pharmacogenomics
- Publisher
- Informa UK Limited
- Published
- 2015-02-25
- Volume
- 16
- Issue
- 3
- Pages
- 273-285
- ISSN
- 1462-2416
- 1744-8042
- PMC
- PMC4358765
- Cited by
- 162
- References
- 13
- Language
- en
- Funders
- National Institutes of Health (R01 CA138461, U19 GM61388)
- Mayo Center for Individualized 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
