Evidence map›Paper›PMID 35792986›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2022

Genomic copy number alterations as biomarkers for triple negative pregnancy-associated breast cancer.

B B M Suelmann, A Rademaker, C van Dooijeweert, E van der Wall, P J van Diest, C B Moelans

Open access · hybridAbstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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 2 institutions in 1 country.

B B M SuelmannDepartment of Medical Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
A RademakerDepartment of Pathology, University Medical Center Utrecht, PO Box 85500, Utrecht, 3508 GA, The Netherlands.
C van DooijeweertDepartment of Pathology, University Medical Center Utrecht, PO Box 85500, Utrecht, 3508 GA, The Netherlands.
E van der WallDepartment of Medical Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
P J van DiestDepartment of Pathology, University Medical Center Utrecht, PO Box 85500, Utrecht, 3508 GA, The Netherlands.
C B MoelansDepartment of Pathology, University Medical Center Utrecht, PO Box 85500, Utrecht, 3508 GA, The Netherlands. cmoelans@umcutrecht.nl.ORCID http://orcid.org/0000-0001-9992-8703
University Medical Center Utrecht · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPABC, commonly defined as breast cancer diagnosed during or ≤ 1 year after pregnancy, accounts for 7% of all breast cancers in women ≤ 45 years. Compared to age-matched non-PABC patients, PABC is characterized by a particularly aggressive histopathologic profile with poorly differentiated and estrogen- and progesterone receptor negative tumors and associated high mortality rates. This study assessed the genomic background of triple-negative PABC tumors by detection of copy number alterations (CNAs).

methodsMLPA was used to compare CNAs in breast cancer-associated chromosomal loci between triple-negative PABC- and subtype-matched non-PABC patients. Both CNA patterns were evaluated by cluster analysis; associations between individual gene CNAs, pathological characteristics and survival were explored.

resultsTriple-negative PABC tumors exhibited unique CNAs compared to non-PABC tumors, including enrichment for TOP2A copy number loss, an independent predictor of worse overall survival (HR 8.96, p = 0.020). Cluster analysis based on CNA profiles identified a triple-negative PABC-subgroup with a particularly poor prognosis, characterized by chromosome 8p copy number loss. Individual gene CNAs analysis revealed that FGFR1 copy number loss on chromosome 8p11.23 was an independent predictor of poor outcome in multivariate analysis (HR 3.59, p = 0.053) and predicted the development of distant metastases (p = 0.048).

conclusionThis study provides novel insights into the biology of triple-negative PABC tumors suggesting that CNAs, particularly 8p loss and TOP2A loss, are involved in the development of breast cancer during pregnancy. FGFR1 loss and TOP2A loss seem to be promising new biomarkers that independently identify subgroups of PABC patients with poor prognosis. These genomic biomarkers may provide clues for personalized therapy.

Indexed as

Breast NeoplasmsTriple Negative Breast NeoplasmsBiomarkers, TumorDNA Copy Number VariationsFemaleGenomicsHumansPregnancyBiomarkers, TumorBiomarkersBreast cancerCopy number alterationMLPAPregnancy

Identifiers

PMID35792986
PMCPMC9424154
OpenAlexW4283832657

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.