Evidence map›Paper›PMID 32860329›Full record

ArticleCancer science2021

Short somatic alterations at the site of copy number variation in breast cancer.

Fumi Murakami, Yumi Tsuboi, Yuka Takahashi, Yoshiya Horimoto, Kaoru Mogushi, Takeshi Ito, Mitsuru Emi, Daisuke Matsubara, Tatsuhiro Shibata, Mitsue Saito and 1 more

Open access · goldAbstract readHistorical Article
In one paragraph

Article in Cancer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Fumi MurakamiDivision of Molecular Pathology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Yumi TsuboiDivision of Molecular Pathology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Yuka TakahashiDepartment of Breast Oncology, Juntendo University, Tokyo, Japan.
Yoshiya HorimotoDepartment of Breast Oncology, Juntendo University, Tokyo, Japan.
Kaoru MogushiJuntendo, University Graduate School of Medicine, Tokyo, Japan.
Takeshi ItoDivision of Molecular Pathology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Mitsuru EmiUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
Daisuke MatsubaraDivision of Molecular Pathology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6233-6840
Tatsuhiro ShibataLaboratory of Molecular Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-0477-210X
Mitsue SaitoDepartment of Breast Oncology, Juntendo University, Tokyo, Japan.
Yoshinori MurakamiDivision of Molecular Pathology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2826-4396
Juntendo University · JPThe University of Tokyo · JPJichi Medical University · JPTokyo Medical University · JPUniversity of Hawaiʻi at Mānoa · US

Funding

Grant-in Aid for Scientific Research (B) 25290051Japan and by the Project for Cancer Research And Therapeutics Evolution (P-CREATE) 16cm0106416h0001Japan Society for the Promotion of Science 19aJapan Society for the Promotion of Science 25290Research on Development of New Drugs 19ae0101073s0104
6 · The paper itself

Abstract

Copy number variation (CNV) is a polymorphism in the human genome involving DNA fragments larger than 1 kb. Copy number variation sites provide hotspots of somatic alterations in cancers. Herein, we examined somatic alterations at sites of CNV in DNA from 20 invasive breast cancers using a Comparative Genomic Hybridization array specifically designed to detect the genome-wide CNV status of approximately 412 000 sites. Somatic copy number alterations (CNAs) were detected in 39.9% of the CNV probes examined. The most frequently altered regions were gains of 1q21-22 (90%), 8q21-24 (85%), 1q44 (85%), and 3q11 (85%) or losses of 16q22-24 (80%). Gene ontology analyses of genes within the CNA fragments revealed that cascades related to transcription and RNA metabolism correlated significantly with human epidermal growth factor receptor 2 positivity and menopausal status. Thirteen of 20 tumors showed CNAs in more than 35% of sites examined and a high prevalence of CNAs correlated significantly with estrogen receptor (ER) negativity, higher nuclear grade (NG), and higher Ki-67 labeling index. Finally, when CNA fragments were categorized according to their size, CNAs smaller than 10 kb correlated significantly with ER positivity and lower NG, whereas CNAs exceeding 10 Mb correlated with higher NG, ER negativity, and a higher Ki-67 labeling index. Most of these findings were confirmed or supported by quantitative PCR of representative DNA fragments in 72 additional breast cancers. These results suggest that most CNAs are caused by gain or loss of large chromosomal fragments and correlate with NG and several malignant features, whereas solitary CNAs of less than 10 kb could be involved in ER-positive breast carcinogenesis.

Indexed as

AdultAgedBreast NeoplasmsComparative Genomic HybridizationDNA Copy Number VariationsFemaleHistory, 17th CenturyHumansbreast cancerchromosomal aneuploidycopy number alterationcopy number variationgenomic instability

Identifiers

PMID32860329
PMCPMC7780029
OpenAlexW3082950984

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.