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Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas
Open accessAbstract
To predict the prognosis of neuroblastoma patients and choose a better therapeutic protocol, we developed a cDNA microarray carrying 5340 genes obtained from primary neuroblastomas and examined 136 tumor samples. We made a probabilistic output statistical classifier that provided a high accuracy in prognosis prediction (89% at 5 years) and a highly reliable method to validate it. Kaplan-Meier analysis indicated that the patients in an intermediate group defined by existing markers are divided by microarray into two further groups with 5 year survivals for 36% and 89% of patients (p < 10(-4)), i.e., with unfavorably and favorably predicted neuroblastomas, respectively. According to these results, we developed a gene subset chip for a clinical tool, for which our classifier exhibited 88% prediction accuracy.
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“In addition, a number of microarray-based gene expression models have been proposed to predict neuroblastoma patient outcome [16, 17].”
From Comparison of RNA-seq and microarray-based models for clinical endpoint prediction (2015) · cites this paper as [17]
In the citing paper
“The models significantly discriminated patients with favorable and unfavorable outcome in the entire cohort and in the class labeled cohort (Additional file 1: Figure S9a-d, Table S3 and S4), which is consistent with previous observations made by us and others [16–18, 20].”
From Comparison of RNA-seq and microarray-based models for clinical endpoint prediction (2015) · cites this paper as [17]
In the citing paper
“Both gene expression-based models derived from RNA-seq and microarray analyses were capable of predicting patient outcome in the entire neuroblastoma cohort accurately, thereby validating results from previous studies and underscoring their potential clinical utility for risk estimation in neuroblastoma [16–18, 20].”
From Comparison of RNA-seq and microarray-based models for clinical endpoint prediction (2015) · cites this paper as [17]
Citations
Cites
Single-Step Method of RNA Isolation by Acid Guanidinium Thiocyanate–Phenol–Chloroform Extraction
Chomczynski, P., & Sacchi, N. (1987) · Analytical Biochemistry · doi:10.1006/abio.1987.9999 · Cited by 65,515
Robust Locally Weighted Regression and Smoothing Scatterplots
Cleveland, W. S. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10481038 · Cited by 11,594
Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R., Caligiuri, M. A., et al. (1999) · Science · doi:10.1126/science.286.5439.531 · Cited by 11,516
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
Brodeur, G. M., Pritchard, J., Berthold, F., Carlsen, N., Castel, V., Castelberry, R. P., Bernardi, B. D., Evans, A. E., Favrot, M., & Hedborg, F. (1993) · Journal of Clinical Oncology · doi:10.1200/jco.1993.11.8.1466 · Cited by 2,285
Amplification of N- myc in Untreated Human Neuroblastomas Correlates with Advanced Disease Stage
Brodeur, G. M., Seeger, R. C., Schwab, M., VARMUS, H. E., & Bishop, J. M. (1984) · Science · doi:10.1126/science.6719137 · Cited by 2,261
Gene-expression profiles predict survival of patients with lung adenocarcinoma
Beer, D. G., Kardia, S. L. R., Huang, C.-C., Giordano, T. J., Levin, A. M., Misek, D. E., Lin, L., Chen, G., Gharib, T. G., Thomas, D. G., et al. (2002) · Nature Medicine · doi:10.1038/nm733 · Cited by 2,025
Schwab, M., Alitalo, K. K., Klempnauer, K.-H., VARMUS, H. E., Bishop, J. M., Gilbert, F., Brodeur, G. M., Goldstein, M. N., & Trent, J. M. (1983) · Nature · doi:10.1038/305245a0 · Cited by 1,405
Shimada, H., Chatten, J., Newton, W. A., Sachs, N., Hamoudi, A. B., Chiba, T., Marsden, H. B., & Misugi, K. (1984) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/73.2.405 · Cited by 858
A Bayesian missing value estimation method for gene expression profile data
Oba, S., Sato, M.-A., Takemasa, I., Monden, M., Matsubara, K., & Ishii, S. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg287 · Cited by 762
Self-citationNakagawara, A., Arima-Nakagawara, M., Scavarda, N. J., Azar, C. G., Cantor, A. B., & Brodeur, G. M. (1993) · New England Journal of Medicine · doi:10.1056/nejm199303253281205 · Cited by 692
Self-citationCorrelating telomerase activity levels with human neuroblastoma outcomes
Hiyama, E., Hiyama, K., Yokoyama, T., Matsuura, Y., Piatyszek, M. A., & Shay, J. W. (1995) · Nature Medicine · doi:10.1038/nm0395-249 · Cited by 611
The neurocristopathiesA unifying concept of disease arising in neural crest maldevelopment
Bolande, R. P. (1974) · Human Pathology · doi:10.1016/s0046-8177(74)80021-3 · Cited by 596
Look, A. T., Hayes, F. A., Shuster, J. J., Douglass, E. C., Castleberry, R. P., Bowman, L. C., Smith, E. I., & Brodeur, G. M. (1991) · Journal of Clinical Oncology · doi:10.1200/jco.1991.9.4.581 · Cited by 594
Iizuka, N., Oka, M., Yamada-Okabe, H., Nishida, M., Maeda, Y., Mori, N., Takao, T., Tamesa, T., Tangoku, A., Tabuchi, H., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)12775-4 · Cited by 511
Look, A. T., Hayes, F. A., Nitschke, R., McWilliams, N. B., & Green, A. A. (1984) · New England Journal of Medicine · doi:10.1056/nejm198407263110405 · Cited by 489
Eve, N. O. (1971) · The Lancet · doi:10.1016/s0140-6736(71)92618-3 · Cited by 444
Release of eIF6 (p27BBP) from the 60S subunit allows 80S ribosome assembly
Ceci, M., Gaviraghi, C., Gorrini, C., Sala, L. A., Offenhäuser, N., Marchisio, P. C., & Biffo, S. (2003) · Nature · doi:10.1038/nature02160 · Cited by 437
Predictive ability of DNA microarrays for cancer outcomes and correlates: an empirical assessment
Ntzani, E., & Ioannidis, J. P. A. (2003) · The Lancet · doi:10.1016/s0140-6736(03)14686-7 · Cited by 323
New feature subset selection procedures for classification of expression profiles
Bø, T. H., & Jonassen, I. (2002) · Genome biology · doi:10.1186/gb-2002-3-4-research0017 · Cited by 263
Inverse relationship between trk expression and N-myc amplification in human neuroblastomas.
Nakagawara, A., Arima, M., Azar, C. G., Scavarda, N. J., & Brodeur, G. M. (1992) · PubMed · Cited by 219
Self-citationDifferential expression of pleiotrophin and midkine in advanced neuroblastomas.
Nakagawara, A., Milbrandt, J., Muramatsu, T., Deuel, T. F., Zhao, H., Cnaan, A., & Brodeur, G. M. (1995) · PubMed · Cited by 201
Self-citationNovel mitochondrial DNA deletion found in a renal cell carcinoma
Horton, T. M., Petros, J. A., Heddi, A., Shoffner, J. S., Kaufman, A. E., GRAHAM, S. D. J., Gramlich, T. L., & Wallace, D. C. (1996) · Genes Chromosomes and Cancer · doi:10.1002/(sici)1098-2264(199602)15:2 · Cited by 163
MASS SCREENING FOR NEUROBLASTOMA IN INFANTS IN JAPAN
Sawada, T., Nakata, T., Takasugi, N., Maeda, K., Hanawa, Y., Shimizu, K., Hirayama, M., Takeda, T., Mori, T., Koide, R., et al. (1984) · The Lancet · doi:10.1016/s0140-6736(84)90311-8 · Cited by 163
Molecular Basis of Clinical Heterogeneity in Neuroblastoma
Brodeur, G. M., & Nakagawara, A. (1992) · Journal of Pediatric Hematology/Oncology · doi:10.1097/00043426-199205000-00004 · Cited by 155
Self-citationLoss of a FYN-regulated differentiation and growth arrest pathway in advanced stage neuroblastoma
Berwanger, B., Hartmann, O., Bergmann, E., Bernard, S., Nielsen, D., Krause, M., Kartal, A., Flynn, D. C., Wiedemeyer, R., Schwab, M., et al. (2002) · Cancer Cell · doi:10.1016/s1535-6108(02)00179-4 · Cited by 136
Amplification of a DEAD box protein gene in retinoblastoma cell lines.
Godbout, R., & Squire, J. A. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.16.7578 · Cited by 98
myc gene amplification and expression in primary human neuroblastoma.
Slavc, I., Ellenbogen, R. G., Jung, W. H., Vawter, G. F., Kretschmar, C. S., Grier, H. E., & Korf, B. R. (1990) · PubMed · Cited by 90
CD44 -- A New Prognostic Marker for Neuroblastoma
Favrot, M., Combaret, V., & Lasset, C. (1993) · New England Journal of Medicine · doi:10.1056/nejm199312233292615 · Cited by 87
Kato, C., Miyazaki, K., Nakagawa, A., Ohira, M., Nakamura, Y., Ozaki, T., Imai, T., & Nakagawara, A. (2004) · International Journal of Cancer · doi:10.1002/ijc.20431 · Cited by 83
Self-citationOhira, M., Morohashi, A., Inuzuka, H., Shishikura, T., Kawamoto, T., Kageyama, H., Nakamura, Y., Isogai, E., Takayasu, H., Sakiyama, S., et al. (2003) · Oncogene · doi:10.1038/sj.onc.1206853 · Cited by 78
Self-citationPhosphorylation of the peripherin 58-kDa neuronal intermediate filament protein
Aletta, J. M., Shelanski, M. L., & Greene, L. A. (1989) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)83788-7 · Cited by 69
Structural features and restricted expression of a human α-tubulin gene
Hall, J. L., & Cowan, N. J. (1985) · Nucleic Acids Research · doi:10.1093/nar/13.1.207 · Cited by 65
Hishiki, T., Nimura, Y., Isogai, E., Kondo, K., Ichimiya, S., Nakamura, Y., Ozaki, T., Sakiyama, S., Hirose, M., Seki, N., et al. (1998) · PubMed · Cited by 64
Self-citationIsolation of Novel Mouse Genes Differentially Expressed in Brain Using cDNA Microarray
Yoshikawa, T., Nagasugi, Y., Azuma, T., Kato, M., Sugano, S., Hashimoto, K., Masuho, Y., Muramatsu, M., & Seki, N. (2000) · Biochemical and Biophysical Research Communications · doi:10.1006/bbrc.2000.3330 · Cited by 64
Stratification of treatment of stage 4 neuroblastoma patients based on N-myc amplification status
Kaneko, M., Nishihira, H., Mugishima, H., Ohnuma, N., Nakada, K., Kawa, K., Fukuzawa, M., Suita, S., Sera, Y., & Tsuchida, Y. (1998) · Medical and Pediatric Oncology · doi:10.1002/(sici)1096-911x(199807)31:1 · Cited by 58
Gm, B., Ct, F., Morita, M., Griffith, R. C., Hayes, F. A., & Seeger, R. C. (1988) · PubMed · Cited by 49
Takahashi, M., Seki, N., Ozaki, T., Kato, M., Kuno, T., Nakagawa, T., Watanabe, K., Miyazaki, K., Ohira, M., Hayashi, S., et al. (2002) · PubMed · Cited by 38
Self-citationSchwann cells in neuroblastoma
Ambros, I. M., & Ambros, P. F. (1995) · European Journal of Cancer · doi:10.1016/0959-8049(95)00051-j · Cited by 30
Nagata, T., Takahashi, Y., Asai, S., Ishii, Y., Mugishima, H., Suzuki, T., Chin, M., Harada, K., Koshinaga, S., & Ishikawa, K. (2000) · Journal of Surgical Research · doi:10.1006/jsre.2000.5918 · Cited by 22
Knoops, B., & Octave, J. (1997) · Neuroreport · doi:10.1097/00001756-199702100-00043 · Cited by 16
Ohira, M., Morohashi, A., Nakamura, Y., Isogai, E., Furuya, K., Hamano, S., Machida, T., Aoyama, M., Fukumura, M., Miyazaki, K., et al. (2003) · Cancer Letters · doi:10.1016/s0304-3835(03)00085-5 · Cited by 15
Self-citationThe expression of cadherins in human neuroblastoma cell lines and clinical tumors.
Shimono, R., Matsubara, S., Takamatsu, H., Fukushige, T., & Ozawa, M. (2000) · PubMed · Cited by 12
UEDA, K. (2001) · The Kurume Medical Journal · doi:10.2739/kurumemedj.48.159 · Cited by 9
Maturational sequence of neuroblastoma revealed by molecular analysis on cDNA microarrays
Yamanaka, Y., Hamazaki, Y., Sato, Y., Ito, K., Watanabe, K., Heike, T., Nakahata, T., & Nakamura, Y. (2002) · International Journal of Oncology · doi:10.3892/ijo.21.4.803 · Cited by 9
Self-citationUltrastructure du mycoplasme salivarium et du mycoplasme orale en culture de tissus
Huu, T. P., Boué, A., Lardemer, F., & Haguenau, F. (1968) · European Journal of Cancer (1965) · doi:10.1016/0014-2964(68)90034-0 · Cited by 7
Chronic granulocytic leukemia responding to melphalan
Seeler, R. A., & Hahn, K. O. (1971) · Cancer · doi:10.1002/1097-0142(197102)27:2 · Cited by 2
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Maris, J. M. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0804577 · Cited by 2,025
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Cruz, J. A., & Wishart, D. S. (2006) · Cancer Informatics · doi:10.1177/117693510600200030 · Cited by 1,371
Applications of machine learning in cancer prediction and prognosis.
Cruz, J. A., & Wishart, D. S. (2007) · PubMed Central · Cited by 879
Ambros, P. F., Ambros, I. M., Brodeur, G. M., Haber, M., Khan, J. I., Nakagawara, A., Schleiermacher, G., Speleman, F., Spitz, R. E., London, W. B., et al. (2009) · British Journal of Cancer · doi:10.1038/sj.bjc.6605014 · Cited by 403
Self-citationComparison of RNA-seq and microarray-based models for clinical endpoint prediction
Zhang, W., Yu, Y., Hertwig, F., Thierry-Mieg, J., Zhang, W., Thierry-Mieg, D., Wang, J., Furlanello, C., Devanarayan, V., Cheng, J., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0694-1 · Cited by 393
Metadata
- Authors
- Ohira, M., Oba, S., Nakamura, Y., Isogai, E., Kaneko, S., Nakagawa, A., Hirata, T., Kubo, H., Goto, T., Yamada, S., Yoshida, Y., Fuchioka, M., Ishii, S., & Nakagawara, A.
- Affiliations
- Chiba Cancer Center (JP)
- Nara Institute of Science and Technology (JP)
- University of Tsukuba (JP)
- Aichi Medical University (JP)
- Hisamitsu Pharmaceutical (Japan) (JP)
- NGK Insulators (Japan) (JP)
- SRL (Japan) (JP)
- Corresponding author
- Nakagawara, Akira
- ORCID
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2005-04
- Volume
- 7
- Issue
- 4
- Pages
- 337-350
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W2110417418
- Cited by
- 155
- References
- 51
- Citations by year
- 2025: 2 · 2024: 4 · 2023: 7 · 2022: 4 · 2021: 3 · 2020: 2 · 2018: 5 · 2017: 1 · 2016: 5 · 2015: 5 · 2014: 8 · 2013: 10 · 2012: 16
- FWCI
- 8.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cancer Cell (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Health, Labour and Welfare
- Ministry of Education, Culture, Sports, Science and Technology
- Topics
- Health Sciences › Medicine › Oncology › Neuroblastoma Research and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Keywords
- neuroblastoma, intermediate-risk neuroblastoma, outcome prediction, gene expression profiling, probabilistic classifiers, clinical decision support, survival prediction
- MeSH terms
- Algorithms, Artificial Intelligence, Humans, Neoplasm Staging, Neoplasms, Neuroblastoma, Prognosis, Sensitivity and Specificity, Reproducibility of Results, Models, Statistical, Survival Analysis, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling
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