Evidence map›Paper›PMID 29181861›Full record

ArticleGenes, chromosomes & cancer2018

Aneuploidy, TP53 mutation, and amplification of MYC correlate with increased intratumor heterogeneity and poor prognosis of breast cancer patients.

Johanna Oltmann, Kerstin Heselmeyer-Haddad, Leanora S Hernandez, Rüdiger Meyer, Irianna Torres, Yue Hu, Natalie Doberstein, J Keith Killian, David Petersen, Yuelin Jack Zhu and 8 more

Abstract read
In one paragraph

Article in Genes, chromosomes & cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Chromosome instability and aneuploidy in the mammalian brain.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023
    Review
  4. Article
  5. Review
  6. Article
  7. Joint Clustering of Single-Cell Sequencing and Fluorescence In Situ Hybridization Data for Reconstructing Clonal Heterogeneity in Cancers.Journal of computational biology : a journal of computational molecular cell biology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Polyploidy in tissue homeostasis and regeneration.Development (Cambridge, England) · 2018
    Review
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

18 authors.

Johanna OltmannSection of Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck, Lübeck, Germany.
Kerstin Heselmeyer-HaddadGenetics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.
Leanora S HernandezGenetics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.
Rüdiger MeyerGenetics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.
Irianna TorresGenetics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.
Yue HuGenetics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.
Natalie DobersteinSection of Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck, Lübeck, Germany.
J Keith KillianGenetics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.
David PetersenGenetics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.
Yuelin Jack ZhuGenetics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.
Daniel C EdelmanGenetics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.
Paul S MeltzerGenetics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.
Russell SchwartzDepartment of Biological Sciences and Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania.
E Michael GertzComputational Biology Branch, National Center for Biotechnology Information/National Institutes of Health, Bethesda, Maryland.
Alejandro A SchäfferComputational Biology Branch, National Center for Biotechnology Information/National Institutes of Health, Bethesda, Maryland.
Gert AuerDepartment of Pathology and Oncology, Karolinska University Hospital and Karolinska Institute, Stockholm, Sweden.
Jens K HabermannSection of Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck, Lübeck, Germany.
Thomas RiedGenetics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-0767-6009

Funding

Molecular Profiling of Clinical SpecimensZICBC011040 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI EDELMAN, DANIEL · 2009 to 2020
$25.5M
Cancer Genomics Technology DevelopmentZIABC011091 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MELTZER, PAUL S. · 2009 to 2025
$16.9M
Intratumor heterogeneity and tumor evolutionZIABC010834 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2009 to 2023
$12.2M
Case Studies In GeneticsZIALM000097 · NLM · NATIONAL LIBRARY OF MEDICINE · PI SCHAFFER, ALEJANDRO A · 2009 to 2019
$4.6M
Identifying Diagnostic Markers for Cervical Cancer, Breast Cancer, and Prostate Z01BC010834 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2007 to 2008
$1.3M
DECONVOLUTION OF CLONAL HETEROGENEITY FROM BULK AND SINGLE-CELL VARIATION DATAR21CA216452 · NCI · CARNEGIE-MELLON UNIVERSITY · PI SCHWARTZ, RUSSELL S · 2017 to 2018
$342k
Intramural NIH HHS Z01 BC010834NCI NIH HHS R21 CA216452
6 · The paper itself

Abstract

The clinical course of breast cancer varies from one patient to another. Currently, the choice of therapy relies on clinical parameters and histological and molecular tumor features. Alas, these markers are informative in only a subset of patients. Therefore, additional predictors of disease outcome would be valuable for treatment stratification. Extensive studies showed that the degree of variation of the nuclear DNA content, i.e., aneuploidy, determines prognosis. Our aim was to further elucidate the molecular basis of aneuploidy. We analyzed five diploid and six aneuploid tumors with more than 20 years of follow-up. By performing FISH with a multiplexed panel of 10 probes to enumerate copy numbers in individual cells, and by sequencing 563 cancer-related genes, we analyzed how aneuploidy is linked to intratumor heterogeneity. In our cohort, none of the patients with diploid tumors died of breast cancer during follow-up in contrast to four of six patients with aneuploid tumors (mean survival 86.4 months). The FISH analysis showed markedly increased genomic instability and intratumor heterogeneity in aneuploid tumors. MYC gain was observed in only 20% of the diploid cancers, while all aneuploid cases showed a gain. The mutation burden was similar in diploid and aneuploid tumors, however, TP53 mutations were not observed in diploid tumors, but in all aneuploid tumors in our collective. We conclude that quantitative measurements of intratumor heterogeneity by multiplex FISH, detection of MYC amplification and TP53 mutation could augment prognostication in breast cancer patients.

Indexed as

AneuploidyMutationAdultAgedBreast NeoplasmsDNA, NeoplasmFemaleFlow CytometryGene AmplificationHumansIn Situ Hybridization, FluorescenceMiddle AgedPrognosisProto-Oncogene Proteins c-mycTumor Suppressor Protein p53DNA, NeoplasmMYC protein, humanProto-Oncogene Proteins c-mycTP53 protein, humanTumor Suppressor Protein p53aneuploidybreast cancerFISHintratumor heterogeneityMYC amplificationTP53 mutations

Identifiers

PMID29181861
PMCPMC5807164

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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.