Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 739

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Detection and mapping of amplified DNA sequences in breast cancer by comparative genomic hybridization.

Open access
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

Abstract

Comparative genomic hybridization was applied to 5 breast cancer cell lines and 33 primary tumors to discover and map regions of the genome with increased DNA-sequence copy-number. Two-thirds of primary tumors and almost all cell lines showed increased DNA-sequence copy-number affecting a total of 26 chromosomal subregions. Most of these loci were distinct from those of currently known amplified genes in breast cancer, with sequences originating from 17q22-q24 and 20q13 showing the highest frequency of amplification. The results indicate that these chromosomal regions may contain previously unknown genes whose increased expression contributes to breast cancer progression. Chromosomal regions with increased copy-number often spanned tens of Mb, suggesting involvement of more than one gene in each region.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.91.6.2156

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Cited by

See all 739

Metadata

Authors
Kallioniemi, A., Kallioniemi, O. P., Piper, J., Tanner, M., Stokke, T., Chen, L., Smith, H. S., Pinkel, D., Gray, J. W., & Waldman, F. M.
Venue
Proceedings of the National Academy of Sciences
Published
1994-03-15
Volume
91
Issue
6
Pages
2156-2160
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2061206375
Cited by
739
References
2
FWCI
27.57
Type
journal article
Language
en
Open access
green

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: Detection and mapping of amplified DNA sequences in breast cancer by comparative genomic hybridization. https://app.cochat.ai/papers/10.1073/pnas.91.6.2156
The paper
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). Detection and mapping of amplified DNA sequences in breast cancer by comparative genomic hybridization. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.91.6.2156

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.