Evidence map›Paper›PMID 30665374›Full record

ArticleBMC cancer2019

CCNE1 amplification is associated with poor prognosis in patients with triple negative breast cancer.

Zi-Ming Zhao, Susan E Yost, Katherine E Hutchinson, Sierra Min Li, Yate-Ching Yuan, Javad Noorbakhsh, Zheng Liu, Charles Warden, Radia M Johnson, Xiwei Wu and 2 more

Abstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
–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

49 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Next-generation CDK inhibitors in HR+/HER2- breast cancer.The Journal of clinical investigation · 2026
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  20. Targeting CDK2 to combat drug resistance in cancer therapy.Future oncology (London, England) · 2024
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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

12 authors.

Zi-Ming ZhaoThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Susan E YostCity of Hope Comprehensive Cancer Center and Beckman Research Institute, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
Katherine E HutchinsonGenentech, Inc., Oncology Biomarker Development, South San Francisco, CA, USA.
Sierra Min LiCity of Hope Comprehensive Cancer Center and Beckman Research Institute, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
Yate-Ching YuanCity of Hope Comprehensive Cancer Center and Beckman Research Institute, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
Javad NoorbakhshThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Zheng LiuCity of Hope Comprehensive Cancer Center and Beckman Research Institute, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
Charles WardenCity of Hope Comprehensive Cancer Center and Beckman Research Institute, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
Radia M JohnsonGenentech, Inc., Oncology Biomarker Development, South San Francisco, CA, USA.
Xiwei WuCity of Hope Comprehensive Cancer Center and Beckman Research Institute, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
Jeffrey H ChuangThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Yuan YuanCity of Hope Comprehensive Cancer Center and Beckman Research Institute, 1500 E. Duarte Road, Duarte, CA, 91010, USA. yuyuan@coh.org.

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI STANLEY R. HAMILTON · 1985 to 2026
$86.3M
Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
Oncology Research Career Development ProgramK12CA001727 · NCI · CITY OF HOPE NATIONAL MEDICAL CENTER · PI MORTIMER, JOANNE E. · 1992 to 2024
$14.6M
PDXNet Data Commons and Coordinating CenterU24CA224067 · NCI · JACKSON LABORATORY · PI Jeffrey Hsu-Min Chuang · 2017 to 2026
$9.8M
Quantitative Computational Methods to Accurately Measure Tumor Heterogeneity in Solid Tumors to Inform Development of Evolution-based Treatment StrategiesR01CA230031 · NCI · JACKSON LABORATORY · PI CHUANG, JEFFREY HSU-MIN · 2018 to 2022
$2.6M
Dissection of Tumor Evolution Using Patient-Derived XenograftsR21CA191848 · NCI · JACKSON LABORATORY · PI CHUANG, JEFFREY HSU-MIN · 2015 to 2016
$531k
NCI NIH HHS K12 CA001727NCI NIH HHS P30 CA033572NCI NIH HHS P30 CA034196NCI NIH HHS R01 CA230031NCI NIH HHS R21 CA191848NCI NIH HHS U24 CA224067NIH HHS P30CA034196NIH HHS R21CA191848NIH HHS U24 CA224067
6 · The paper itself

Abstract

backgroundTriple negative breast cancer (TNBC) is aggressive with limited treatment options upon recurrence. Molecular discordance between primary and metastatic TNBC has been observed, but the degree of biological heterogeneity has not been fully explored. Furthermore, genomic evolution through treatment is poorly understood. In this study, we aim to characterize the genomic changes between paired primary and metastatic TNBCs through transcriptomic and genomic profiling, and to identify genomic alterations which may contribute to chemotherapy resistance.

methodsGenomic alterations and mRNA expression of 10 paired primary and metastatic TNBCs were determined through targeted sequencing, microarray analysis, and RNA sequencing. Commonly mutated genes, as well as differentially expressed and co-expressed genes were identified. We further explored the clinical relevance of differentially expressed genes between primary and metastatic tumors to patient survival using large public datasets.

resultsThrough gene expression profiling, we observed a shift in TNBC subtype classifications between primary and metastatic TNBCs. A panel of eight cancer driver genes (CCNE1, TPX2, ELF3, FANCL, JAK2, GSK3B, CEP76, and SYK) were differentially expressed in recurrent TNBCs, and were also overexpressed in TCGA and METABRIC. CCNE1 and TPX2 were co-overexpressed in TNBCs. DNA mutation profiling showed that multiple mutations occurred in genes comprising a number of potentially targetable pathways including PI3K/AKT/mTOR, RAS/MAPK, cell cycle, and growth factor receptor signaling, reaffirming the wide heterogeneity of mechanisms driving TNBC. CCNE1 amplification was associated with poor overall survival in patients with metastatic TNBC.

conclusionsCCNE1 amplification may confer resistance to chemotherapy and is associated with poor overall survival in TNBC.

Indexed as

Gene AmplificationAdultAgedCyclin EDrug Resistance, NeoplasmExome SequencingFemaleGene Expression ProfilingGenetic Predisposition to DiseaseHumansMiddle AgedOncogene ProteinsPrognosisSurvival AnalysisTriple Negative Breast NeoplasmsCCNE1 protein, humanCyclin EOncogene ProteinsAmplificationCCNE1Triple negative breast cancer

Identifiers

PMID30665374
PMCPMC6341717

What OpenQuestion holds

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LicenceCC BY
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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.