Evidence map›Paper›PMID 32416097›Full record

ArticleThe American journal of pathology2020

High Levels of Chromosomal Copy Number Alterations and TP53 Mutations Correlate with Poor Outcome in Younger Breast Cancer Patients.

Ayla Koçak, Kerstin Heselmeyer-Haddad, Annette Lischka, Daniela Hirsch, David Fiedler, Yue Hu, Natalie Doberstein, Irianna Torres, Wei-Dong Chen, E Michael Gertz and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 32% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Prognostic Value of theCancer management and research · 2021
    Article
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

16 authors at 6 institutions in 3 countries.

Ayla KoçakSection for Translational Surgical Oncology and Biobanking, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany; Genetics Branch, National Cancer Institute, NIH, Bethesda, Maryland.
Kerstin Heselmeyer-HaddadGenetics Branch, National Cancer Institute, NIH, Bethesda, Maryland.
Annette LischkaSection for Translational Surgical Oncology and Biobanking, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany.
Daniela HirschGenetics Branch, National Cancer Institute, NIH, Bethesda, Maryland.
David FiedlerGenetics Branch, National Cancer Institute, NIH, Bethesda, Maryland.
Yue HuGenetics Branch, National Cancer Institute, NIH, Bethesda, Maryland.
Natalie DobersteinSection for Translational Surgical Oncology and Biobanking, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany.
Irianna TorresGenetics Branch, National Cancer Institute, NIH, Bethesda, Maryland.
Wei-Dong ChenGenetics Branch, National Cancer Institute, NIH, Bethesda, Maryland.
E Michael GertzComputational Biology Branch, National Center for Biotechnology Information, NIH, Bethesda, Maryland; Cancer Data Science Laboratory, National Cancer Institute, NIH, Bethesda, Maryland.
Alejandro A SchäfferComputational Biology Branch, National Center for Biotechnology Information, NIH, Bethesda, Maryland; Cancer Data Science Laboratory, National Cancer Institute, NIH, Bethesda, Maryland.
Sandra Freitag-WolfInstitute of Medical Informatics and Statistics, University Hospital Schleswig-Holstein, Kiel, Germany.
Jutta KirfelInstitute of Pathology, University Hospital Schleswig-Holstein, Lübeck, Germany.
Gert AuerDepartment of Oncology-Pathology, Karolinska Biomic Center, Karolinska Institute, Stockholm, Sweden.
Jens K HabermannSection for Translational Surgical Oncology and Biobanking, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany; Department of Oncology-Pathology, Karolinska Biomic Center, Karolinska Institute, Stockholm, Sweden.
Thomas RiedGenetics Branch, National Cancer Institute, NIH, Bethesda, Maryland. Electronic address: riedt@mail.nih.gov.
National Cancer Institute · USUniversity Hospital Schleswig-Holstein · DENational Center for Biotechnology Information · USKarolinska Institutet · SEKarolinska University Hospital · SENational Institutes of Health · US

Funding

Identification and functional characterization of colorectal cancer genesZIABC010833 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2009 to 2022
$12.1M
6 · The paper itself

Abstract

Prognosis in young patients with breast cancer is generally poor, yet considerable differences in clinical outcomes between individual patients exist. To understand the genetic basis of the disparate clinical courses, tumors were collected from 34 younger women, 17 with good and 17 with poor outcomes, as determined by disease-specific survival during a follow-up period of 17 years. The clinicopathologic parameters of the tumors were complemented with DNA image cytometry profiles, enumeration of copy numbers of eight breast cancer genes by multicolor fluorescence in situ hybridization, and targeted sequence analysis of 563 cancer genes. Both groups included diploid and aneuploid tumors. The degree of intratumor heterogeneity was significantly higher in aneuploid versus diploid cases, and so were gains of the oncogenes MYC and ZNF217. Significantly more copy number alterations were observed in the group with poor outcome. Almost all tumors in the group with long survival were classified as luminal A, whereas triple-negative tumors predominantly occurred in the short survival group. Mutations in PIK3CA were more common in the group with good outcome, whereas TP53 mutations were more frequent in patients with poor outcomes. This study shows that TP53 mutations and the extent of genomic imbalances are associated with poor outcome in younger breast cancer patients and thus emphasize the central role of genomic instability vis-a-vis tumor aggressiveness.

Indexed as

DNA Copy Number VariationsGenomic InstabilityMutationAdultBiomarkers, TumorBreast NeoplasmsDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMiddle AgedPrognosisSurvival RateTumor Suppressor Protein p53Biomarkers, TumorTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID32416097
PMCPMC7397461
OpenAlexW3025831237

What OpenQuestion holds

Textmetadata
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.