Evidence map›Paper›PMID 32580398›Full record

ArticleInternational journal of molecular sciences2020

Clinicopathologic Characteristics of Breast Cancer According to the Infiltrating Immune Cell Subtypes.

Hye Min Kim, Ja Seung Koo

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  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

2 authors.

Hye Min KimDepartment of Pathology, Yonsei University College of Medicine, Seoul 03722, Korea.
Ja Seung KooDepartment of Pathology, Yonsei University College of Medicine, Seoul 03722, Korea.ORCID 0000-0003-4546-4709

Funding

faculty research grant from Yonsei University College of Medicine 2016 (6-2016-0163)
6 · The paper itself

Abstract

The clinical significance of immune cell subtypes in breast cancer remains poorly understood. To identify tumor-infiltrating immune cell subtypes in breast cancer and investigate their implications, tissue microarrays were constructed using 334 cases of invasive ductal carcinoma (luminal A type: 162 (48.5%), luminal B type: 96 (28.7%), HER-2 type: 21 (6.3%), and triple negative breast cancer: 55 (16.5%)). Hormone receptors (ER, PR, and HER-2), Ki-67, and immune cell subtype-related proteins (STAT4, STAT6, FOXP3, CD8, CD68, and CD163) were assessed immunohistochemically. The proportion of highly expressed STAT6, FOXP3, CD8, CD68, and CD163 proteins was found to be lowest in luminal A type but highest in the HER-2 type. Additionally, high-level STAT6, FOXP3, CD68, and CD163 protein expression was associated with higher histologic grade. ER negativity was associated with high STAT6, FOXP3, and CD163 expression levels, whereas PR negativity and high Ki-67 labeling index were associated with high CD163 expression. Univariate (

Indexed as

Antigens, CDAntigens, Differentiation, MyelomonocyticBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastCase-Control StudiesCD163 AntigenCD68 MoleculeErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesForkhead Transcription FactorsHumansLymphocytes, Tumor-InfiltratingPrognosisReceptors, Cell SurfaceAntigens, CDAntigens, Differentiation, MyelomonocyticBiomarkers, TumorCD163 AntigenCD68 antigen, humanCD68 MoleculeERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesForkhead Transcription FactorsFOXP3 protein, humanReceptors, Cell SurfaceReceptors, EstrogenReceptors, ProgesteroneSTAT6 protein, humanSTAT6 Transcription Factorbreast cancerinfiltrating immune CD8 cellsprognosistumor microenvironment

Identifiers

PMID32580398
PMCPMC7352832

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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.