Evidence map›Paper›PMID 31784614›Full record

ArticleScientific reports2019

Centromere 17 copy number gain reflects chromosomal instability in breast cancer.

Kyoungyul Lee, Hyun Jeong Kim, Min Hye Jang, Sejoon Lee, Soomin Ahn, So Yeon Park

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  13. A New Method for CTC Images Recognition Based on Machine Learning.Frontiers in bioengineering and biotechnology · 2020
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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

6 authors at 3 institutions in 2 countries.

Kyoungyul LeeDepartment of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-6243-6868
Hyun Jeong KimDepartment of Pathology, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, Republic of Korea.
Min Hye JangDepartment of Pathology, Yeungnam University Medical Center, Daegu, Republic of Korea.
Sejoon LeePrecision Medicine Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, Republic of Korea.
Soomin AhnDepartment of Pathology, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, Republic of Korea.
So Yeon ParkDepartment of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea. sypmd@snu.ac.kr.ORCID http://orcid.org/0000-0002-0299-7268
Seoul National University Bundang Hospital · KRSeoul National University · KRYeungnam University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosomal instability (CIN) is known to be associated with prognosis and treatment response in breast cancer. This study was conducted to determine whether copy number gain of centromere 17 (CEP17) reflects CIN, and to evaluate the prognostic and predictive value of CIN in breast cancer. CIN status was determined by summing copy number gains of four centromeric probes (CEP1, CEP8, CEP11, and CEP16) based on fluorescence in situ hybridization and CIN scores were calculated using next generation sequencing data. High CIN was associated with adverse clinicopatholgical parameters of breast cancer. Among them, positive HER2 status, high Ki-67 index and CEP17 copy number gain were found to be independent predictors of high CIN. High CIN was associated with poor clinical outcome of the patients in the whole group, as well as in luminal/HER2-negative and HER2-positive subtypes. CEP17 copy number was significantly higher in the high-CIN-score group than in the low-CIN-score group. A positive linear correlation between the mean CEP17 copy number and the CIN score was found. In conclusion, CEP17 copy number was confirmed as a useful predictor for CIN in breast cancer, and high CIN was revealed as an indicator of poor prognosis in breast cancer.

Indexed as

Chromosomal InstabilityGene DosageBreast NeoplasmsCentromereDNA Copy Number VariationsFemaleHumansMiddle AgedPrognosis

Identifiers

PMID31784614
PMCPMC6884473
OpenAlexW2990356130

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.