Evidence map›Paper›PMID 28141868›Full record

ArticlePloS one2017

Progressive APOBEC3B mRNA expression in distant breast cancer metastases.

Anieta M Sieuwerts, Willemijne A M E Schrijver, Simone U Dalm, Vanja de Weerd, Cathy B Moelans, Natalie Ter Hoeve, Paul J van Diest, John W M Martens, Carolien H M van Deurzen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

22 citing papers in PubMed, 36 citations in OpenAlex.

  1. Observational
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  3. Article
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  6. Clinical Implications of APOBEC3-Mediated Mutagenesis in Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Review
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  11. Review
  12. Review
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  14. APOBEC3A catalyzes mutation and drives carcinogenesis in vivo.The Journal of experimental medicine · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Cancers · 2019
    Article
  19. Determinants of Oligonucleotide Selectivity of APOBEC3B.Journal of chemical information and modeling · 2019
    Article
  20. 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

9 authors at 3 institutions in 1 country.

Anieta M SieuwertsDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-1341-5400
Willemijne A M E SchrijverDepartment of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands.
Simone U DalmDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Vanja de WeerdDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, The Netherlands.
Cathy B MoelansDepartment of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands.
Natalie Ter HoeveDepartment of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands.
Paul J van DiestDepartment of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands.
John W M MartensDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, The Netherlands.
Carolien H M van DeurzenDepartment of Pathology, Erasmus MC, Rotterdam, The Netherlands.
University Medical Center Utrecht · NLErasmus MC Cancer Institute · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAPOBEC3B was recently identified as a gain-of-function enzymatic source of mutagenesis, which may offer novel therapeutic options with molecules that specifically target this enzyme. In primary breast cancer, APOBEC3B mRNA is deregulated in a substantial proportion of cases and its expression is associated with poor prognosis. However, its expression in breast cancer metastases, which are the main causes of breast cancer-related death, remained to be elucidated. PATIENTS AND

methodsRNA was isolated from 55 primary breast cancers and paired metastases, including regional lymph node (N = 20) and distant metastases (N = 35). APOBEC3B mRNA levels were measured by RT-qPCR. Expression levels of the primary tumors and corresponding metastases were compared, including subgroup analysis by estrogen receptor (ER/ESR1) status.

resultsOverall, APOBEC3B mRNA levels of distant metastases were significantly higher as compared to the corresponding primary breast tumor (P = 0.0015), an effect that was not seen for loco-regional lymph node metastases (P = 0.23). Subgroup analysis by ER-status showed that increased APOBEC3B levels in distant metastases were restricted to metastases arising from ER-positive primary breast cancers (P = 0.002). However, regarding ER-negative primary tumors, only loco-regional lymph node metastases showed increased APOBEC3B expression when compared to the corresponding primary tumor (P = 0.028).

conclusionAPOBEC3B mRNA levels are significantly higher in breast cancer metastases as compared to the corresponding ER-positive primary tumors. This suggests a potential role for APOBEC3B in luminal breast cancer progression, and consequently, a promising role for anti-APOBEC3B therapies in advanced stages of this frequent form of breast cancer.

Indexed as

Gene Expression Regulation, NeoplasticBreast NeoplasmsCytidine DeaminaseErb-b2 Receptor Tyrosine KinasesEstrogen Receptor alphaFemaleHumansLymphatic MetastasisMinor Histocompatibility AntigensRNA, MessengerAPOBEC3B protein, humanCytidine DeaminaseERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesESR1 protein, humanEstrogen Receptor alphaMinor Histocompatibility AntigensRNA, Messenger

Identifiers

PMID28141868
PMCPMC5283735
OpenAlexW2583755603

What OpenQuestion holds

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LicenceCC BY
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.