Evidence map›Paper›PMID 28327103›Full record

ArticleBMC cancer2017

Morphological and phenotypical features of ovarian metastases in breast cancer patients.

Inge T A Peters, Merle A van der Steen, Bertine W Huisman, Carina G J M Hilders, Vincent T H B M Smit, Alexander L Vahrmeijer, Cornelis F M Sier, J Baptist Trimbos, Peter J K Kuppen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Ovarian metastasis from breast cancer: a comprehensive review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2019
    Review
  5. 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 2 institutions in 1 country.

Inge T A PetersDepartment of Gynecology, Leiden University Medical Center, Leiden, the Netherlands.
Merle A van der SteenDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Bertine W HuismanDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Carina G J M HildersDepartment of Gynecology, Reinier de Graaf Hospital, Delft, the Netherlands.
Vincent T H B M SmitDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
Alexander L VahrmeijerDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Cornelis F M SierDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
J Baptist TrimbosDepartment of Gynecology, Leiden University Medical Center, Leiden, the Netherlands.
Peter J K KuppenDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands. p.j.k.kuppen@lumc.nl.
Leiden University Medical Center · NLReinier de Graaf Hospital · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutotransplantation of frozen-thawed ovarian tissue is a method to preserve ovarian function and fertility in patients undergoing gonadotoxic therapy. In oncology patients, the safety cannot yet be guaranteed, since current tumor detection methods can only exclude the presence of malignant cells in ovarian fragments that are not transplanted. We determined the need for a novel detection method by studying the distribution of tumor cells in ovaries from patients with breast cancer. Furthermore, we examined which cell-surface proteins are suitable as a target for non-invasive tumor-specific imaging of ovarian metastases from invasive breast cancer.

methodsUsing the nationwide database of the Dutch Pathology Registry (PALGA), we identified a cohort of 46 women with primary invasive breast cancer and ovarian metastases. The localization and morphology of ovarian metastases were determined on hematoxylin-and-eosin-stained sections. The following cell-surface markers were immunohistochemically analyzed: E-cadherin, epithelial membrane antigen (EMA), human epidermal growth receptor type 2 (Her2/neu), carcinoembryonic antigen (CEA), αvβ6 integrin and epithelial cell adhesion molecule (EpCAM).

resultsThe majority of ovarian metastases (71%) consisted of a solitary metastasis or multiple distinct nodules separated by uninvolved ovarian tissue, suggesting that ovarian metastases might be overlooked by the current detection approach. Combining the targets E-cadherin, EMA and Her2/neu resulted in nearly 100% detection of ductal ovarian metastases, whereas the combination of EMA, Her2/neu and EpCAM was most suitable to detect lobular ovarian metastases.

conclusionsExamination of the actual ovarian transplants is recommended. A combination of targets is most appropriate to detect ovarian metastases by tumor-specific imaging.

Indexed as

AdultBiomarkers, TumorBreast NeoplasmsCadherinsCarcinoembryonic AntigenCohort StudiesEpithelial Cell Adhesion MoleculeErb-b2 Receptor Tyrosine KinasesFemaleHumansImmunohistochemistryOvarian NeoplasmsOvarySensitivity and SpecificityBiomarkers, TumorCadherinsCarcinoembryonic AntigenEpithelial Cell Adhesion MoleculeERBB2 protein, humanErb-b2 Receptor Tyrosine Kinasesbreast cancerfertility preservationovarian metastasesovarian tissue autotransplantationtumor markerstumor-specific imaging

Identifiers

PMID28327103
PMCPMC5361796
OpenAlexW2602307428

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.