Evidence map›Paper›PMID 29090365›Full record

ArticleBreast cancer research and treatment2018

CD56+ immune cell infiltration and MICA are decreased in breast lobules with fibrocystic changes.

Daniel Kerekes, Daniel W Visscher, Tanya L Hoskin, Derek C Radisky, Rushin D Brahmbhatt, Alvaro Pena, Marlene H Frost, Muhammad Arshad, Melody Stallings-Mann, Stacey J Winham and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2018. 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
0.4field-weighted citation impact, top 38% 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, 6 citations in OpenAlex.

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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

15 authors at 4 institutions in 1 country.

Daniel KerekesDepartment of Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Daniel W VisscherDivision of Anatomic Pathology, Mayo Clinic, Rochester, MN, USA.
Tanya L HoskinDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Derek C RadiskyCancer Biology, Mayo Clinic, Jacksonville, FL, USA.
Rushin D BrahmbhattDepartment of Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Alvaro PenaDepartment of Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Marlene H FrostWomen's Cancer Program, Mayo Clinic, Rochester, MN, USA.
Muhammad ArshadDepartment of Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Melody Stallings-MannCancer Biology, Mayo Clinic, Jacksonville, FL, USA.
Stacey J WinhamDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Linda MurphyWomen's Cancer Program, Mayo Clinic, Rochester, MN, USA.
Lori DenisonInformation Technology, Mayo Clinic, Rochester, MN, USA.
Jodi M CarterDivision of Anatomic Pathology, Mayo Clinic, Rochester, MN, USA.
Keith L KnutsonImmunology, Mayo Clinic, Jacksonville, FL, USA.
Amy C DegnimDepartment of Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. degnim.amy@mayo.edu.ORCID http://orcid.org/0000-0002-2303-4946
Mayo Clinic · USMayo Clinic in Florida · USMayo Clinic in Arizona · USWinnMed · US

Funding

Susan G. Komen for the Cure KG110101
6 · The paper itself

Abstract

purposeWhile the role of natural killer (NK) cells in breast cancer therapy has been investigated, little information is known about NK cell function and presence in nonmalignant and premalignant breast tissue. Here, we investigate and quantify NK cell marker CD56 and activating ligand MICA in breast tissue with benign breast disease.

methodsSerial tissue sections from 88 subjects, 44 with benign breast disease (BBD) who remained cancer-free, and 44 with BBD who later developed cancer, were stained with H&E, anti-MICA, and anti-CD56. Up to ten representative lobules were identified on each section. Using digital image analysis, MICA and CD56 densities were determined for each lobule, reported as percent of pixels in the lobule that registered as stained by each antibody. Analyses were performed on a per-subject and per-lobule basis.

resultsPer-subject multivariate analyses showed associations of CD56 and MICA with age: CD56 was increased in older subjects (p = 0.03), while MICA was increased in younger subjects (p = 0.005). Per-lobule analyses showed that CD56 and MICA levels were both decreased in lobules with fibrocystic change, with median levels of CD56 and MICA staining, respectively, at 0.31 and 7.0% in fibrocystic lobules compared to 0.76 and 12.2% in lobules without fibrocystic change (p < 0.001 for each). Among fibrocystic lobules, proliferative/atypical lobules showed significantly lower expression compared to nonproliferative lobules for MICA (p = 0.02) but not for CD56 (p = 0.80).

conclusionLevels of CD56+ NK cells and activating ligand MICA were decreased in breast lobules with fibrocystic change, and MICA levels showed a significant stepwise decrease with increasing histopathologic abnormality. MICA levels were also significantly decreased in older subjects, who generally have higher risk of developing cancer. These findings advance a model in which MICA promotes cytotoxic activity in CD56+ NK cells to protect against tumorigenesis in breast lobules, and suggest further research is warranted.

Indexed as

AdultAgedBreastBreast NeoplasmsCD56 AntigenFemaleHistocompatibility Antigens Class IHumansHyperplasiaKiller Cells, NaturalMaleMiddle AgedNeoplasmsPrecancerous ConditionsCD56 AntigenHistocompatibility Antigens Class IMHC class I-related chain ANCAM1 protein, humanActivating ligand MICABenign breast diseaseCD56Natural killer cell

Identifiers

PMID29090365
PMCPMC5807482
OpenAlexW2766686380

What OpenQuestion holds

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LicenceCC BY
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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.