Evidence map›Paper›PMID 30811755›Full record

ArticleCancer science2019

Integrative molecular profiling identifies a novel cluster of estrogen receptor-positive breast cancer in very young women.

Charny Park, Kyong-Ah Yoon, Jihyun Kim, In Hae Park, Soo Jin Park, Min Kyeong Kim, Wooyeong Jang, Soo Young Cho, Boyoung Park, Sun-Young Kong and 1 more

Abstract read
In one paragraph

Article in Cancer science, 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
–field-weighted citation impact
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.

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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.

Charny ParkClinical Genomics Analysis Branch, Research Institute, National Cancer Center, Goyang, Korea.
Kyong-Ah YoonLaboratory of Biochemistry, College of Veterinary Medicine, Konkuk University, Seoul, Korea.
Jihyun KimClinical Genomics Analysis Branch, Research Institute, National Cancer Center, Goyang, Korea.
In Hae ParkCenter for Breast Cancer, Hospital, National Cancer Center, Goyang, Korea.
Soo Jin ParkCenter for Breast Cancer, Hospital, National Cancer Center, Goyang, Korea.
Min Kyeong KimTranslational Cancer Research Branch, Division of Translational Science, National Cancer Center, Goyang, Korea.
Wooyeong JangClinical Genomics Analysis Branch, Research Institute, National Cancer Center, Goyang, Korea.
Soo Young ChoClinical Genomics Analysis Branch, Research Institute, National Cancer Center, Goyang, Korea.
Boyoung ParkGraduate School for Cancer Science and Policy, National Cancer Center, Goyang, Korea.
Sun-Young KongTranslational Cancer Research Branch, Division of Translational Science, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0003-0620-4058
Eun Sook LeeCenter for Breast Cancer, Hospital, National Cancer Center, Goyang, Korea.

Funding

National Cancer Center, Korea 1710172National R&D Program for Cancer Control, Ministry of Health and Welfare, Korea 1520240
6 · The paper itself

Abstract

Very young breast cancer patients are more common in Asian countries than Western countries and are thought to have worse prognosis than older patients. The aim of the current study was to identify molecular characteristics of young patients with estrogen receptor (ER)-positive breast cancer by analyzing mutations and copy number variants (CNV), and by applying expression profiling. The whole exome and transcriptome of 47 Korean young breast cancer (KYBR) patients (age <35) were analyzed. Genomic profiles were constructed using mutations, CNV and differential gene expression from sequencing data. Pathway analyses were also performed using gene sets to identify biological processes. Our data were compared with young ER+ breast cancer patients in The Cancer Genome Atlas (TCGA) dataset. TP53, PIK3CA and GATA3 were highly recurrent somatic mutation genes. APOBEC-associated mutation signature was more frequent in KYBR compared with young TCGA patients. Integrative profiling was used to classify our patients into 3 subgroups based on molecular characteristics. Group A showed luminal A-like subtype and IGF1R signal dysregulation. Luminal B patients were classified into groups B and C, which showed chromosomal instability and enrichment for APOBEC3A/B deletions, respectively. Group B was characterized by 11q13 (CCND1) amplification and activation of the ubiquitin-mediated proteolysis pathway. Group C showed 17q12 (ERBB2) amplification and lower ER and progesterone receptor expression. Group C was also distinguished by immune activation and lower epithelial-mesenchyme transition (EMT) degree compared with group B. This study showed that integrative genomic profiling could classify very young patients with breast cancer into molecular subgroups that are potentially linked to different clinical characteristics.

Indexed as

DNA Copy Number VariationsAdultAge FactorsBiomarkers, TumorBreast NeoplasmsExome SequencingFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansReceptors, EstrogenRetrospective StudiesSequence Analysis, RNABiomarkers, TumorReceptors, Estrogenestrogen-receptor positive breast cancerintegrative analysismolecular subtypenext-generation sequencingvery young women

Identifiers

PMID30811755
PMCPMC6500962

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LicenceCC BY-NC-ND
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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.