The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Optimizing comparative genomic hybridization for analysis of DNA sequence copy number changes in solid tumors
Abstract
Comparative genomic hybridization (CGH) is a powerful new method for molecular cytogenetic analysis of cancer. In a single hybridization, CGH provides an overview of DNA sequence copy number changes (losses, deletions, gains, amplifications) in a tumor specimen and maps these changes on normal chromosomes. CGH is based on the in situ hybridization of differentially labeled total genomic tumor DNA and normal reference DNA to normal human metaphase chromosomes. After hybridization and fluorescent staining of the bound DNAs, copy number variations among the different sequences in the tumor DNA are detected by measuring the tumor/normal fluorescence intensity ratio for each locus in the target metaphase chromosomes. CGH is in particular useful for analysis of DNA sequence copy number changes in common solid tumors where high‐quality metaphase preparations are often difficult to make, and where complex karyotypes with numerous markers, double minutes, and homogeneously stained chromosomal regions are common. CGH only detects changes that are present in a substantial proportion of tumor cells (i.e., clonal aberrations). It does not reveal translocations, inversions, and other aberrations that do not change copy number. At present, CGH is a research tool that complements previous methods for genetic analysis. CGH will advance our understanding of the genetic progression of cancer and highlight important genomic regions for further study. Direct clinical applications of CGH are possible, but will require further development and validation of the technique. We describe here our recent optimized procedures for CGH, including DNA labeling, hybridization, fluorescence microscopy, digital image analysis, data interpretation, and quality control, emphasizing those steps that are most critical. We will also assess sensitivity and resolution limits of CGH as well as discuss possible future technical improvements. Genes Chromosom Cancer 10:231–243 (1994). © 1994 Wiley‐Liss, Inc.
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.
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
Comparative Genomic Hybridization for Molecular Cytogenetic Analysis of Solid Tumors
Kallioniemi, A., Kallioniemi, O.-P., Sudar, D., Rutovitz, D., Gray, J. W., Waldman, F., & Pinkel, D. (1992) · Science · doi:10.1126/science.1359641 · Cited by 3,297
Self-citationPinkel, D., Landegent, J., Collins, C., Fuscoe, J., Segraves, R., Lucas, J., & Gray, J. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.23.9138 · Cited by 1,330
Self-citationAllelotype of Colorectal Carcinomas
Vogelstein, B., Fearon, E. R., Kern, S. E., Hamilton, S. R., Preisinger, A. C., Nakamura, Y., & White, R. (1989) · Science · doi:10.1126/science.2565047 · Cited by 1,304
Kallioniemi, A., Kallioniemi, O. P., Piper, J., Tanner, M., Stokke, T., Chen, L., Smith, H. S., Pinkel, D., Gray, J. W., & Waldman, F. M. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.6.2156 · Cited by 739
Self-citationdu Manoir, S., Speicher, M. R., Joos, S., Schröck, E., Popp, S., Döhner, H., Kovacs, G., Robert-Nicoud, M., Lichter, P., & Cremer, T. (1993) · Human Genetics · doi:10.1007/bf00202476 · Cited by 555
Kallioniemi, O., Kallioniemi, A. H., Sudar, D., Rutovitz, D., Gray, J. W., Waldman, F., & Pinkel, D. (1993) · PubMed · Cited by 227
Self-citationAmplification of cellular oncogenes: A predictor of clinical outcome in human cancer
Schwab, M., & Amler, L. C. (1990) · Genes, Chromosomes and Cancer · doi:10.1002/gcc.2870010302 · Cited by 200
Devilee, P., van Vliet, M., van Sloun, P., Kuipers‐Dijkshoorn, N. J., Hermans, J., Pearson, P. L., & Cj, C. (1991) · PubMed · Cited by 195
Detection of amplified DNA sequences by reverse chromosome painting using genomic tumor DNA as probe
Joos, S., Scherthan, H., Speicher, M. R., Schlegel, J., Cremer, T. J., & Lichter, P. (1993) · Human Genetics · doi:10.1007/bf00202475 · Cited by 125
Proto‐oncogene amplification and homogeneously staining regions in human breast carcinomas
Saint‐Ruf, C., Gerbault‐Seureau, M., Viégas-Pèquignot, E., Sigal‐Zafrani, B., Cassingena, R., & Dutrillaux, B. (1990) · Genes Chromosomes and Cancer · doi:10.1002/gcc.2870020105 · Cited by 49
Cited by
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes
Neve, R. M., Chin, K., Fridlyand, J., Yeh, J., Baehner, F. L., Fevr, T., Clark, L., Bayani, N., Coppe, J.-P., Tong, F., et al. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.10.008 · Cited by 3,188
Self-citationIn vivo amplification of the androgen receptor gene and progression of human prostate cancer
Visakorpi, T., Hyytinen, E., Koivisto, P., Tanner, M., Keinänen, R., Palmberg, C., Palotie, A., Tammela, T., Isola, J., & Kallioniemi, O.-P. (1995) · Nature Genetics · doi:10.1038/ng0495-401 · Cited by 1,484
Self-citationGenome-wide analysis of DNA copy-number changes using cDNA microarrays
Pollack, J. R., Perou, C. M., Alizadeh, A. A., Eisen, M. B., Pergamenschikov, A., Williams, C. F., Jeffrey, S. S., Botstein, D., & Brown, P. O. (1999) · Nature Genetics · doi:10.1038/12640 · Cited by 1,423
Suppression of Myc oncogenic activity by ribosomal protein haploinsufficiency
Barna, M., Pusic, A., Zollo, O., Costa, M., Kondrashov, N., Rego, E., Rao, P. H., & Ruggero, D. (2008) · Nature · doi:10.1038/nature07449 · Cited by 424
Nasopharyngeal carcinoma cell line (C666-1) consistently harbouring Epstein-Barr virus
Cheung, S. T., Huang, D. P., Hui, A. B. Y., Lo, K. W., Ko, C. W., Tsang, Y. S., Wong, N., Whitney, B. M., & Lee, J. C. K. (1999) · International Journal of Cancer · doi:10.1002/(sici)1097-0215(19990924)83:1<121::aid-ijc21>3.0.co;2-f · Cited by 395
Metadata
- Authors
- Kallioniemi, O., Kallioniemi, A., Piper, J., Isola, J., Waldman, F. M., Gray, J. W., & Pinkel, D.
- Venue
- Genes, Chromosomes and Cancer
- Publisher
- Wiley
- Published
- 1994-08
- Volume
- 10
- Issue
- 4
- Pages
- 231-243
- ISSN
- 1045-2257 (ISSN-L)
- 1098-2264
- OpenAlex
- W2040316588
- Cited by
- 1,012
- References
- 11
- FWCI
- 21.64
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Optimizing comparative genomic hybridization for analysis of DNA sequence copy number changes in solid tumors. https://app.cochat.ai/papers/10.1002/gcc.2870100403
- The paper
- Kallioniemi, O., Kallioniemi, A., Piper, J., Isola, J., Waldman, F. M., Gray, J. W., & Pinkel, D. (1994). Optimizing comparative genomic hybridization for analysis of DNA sequence copy number changes in solid tumors. Genes, Chromosomes and Cancer. https://doi.org/10.1002/gcc.2870100403
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.