Evidence map›Paper›PMID 36139022›Full record

ArticleBiomolecules2022

Reduced Expression of KRT17 Predicts Poor Prognosis in HER2

Shasha Tang, Wenjing Liu, Liyun Yong, Dongyang Liu, Xiaoyan Lin, Yuan Huang, Hui Wang, Fengfeng Cai

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 17 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

8 authors at 3 institutions in 1 country.

Shasha TangDepartment of Breast Surgery, Yangpu Hospital, School of Medicine, Tongji University, No.450 Tengyue Road, Shanghai 200090, China.
Wenjing LiuBiomedical Synthetic Biology Research Center, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 201100, China.
Liyun YongDepartment of Breast Surgery, Yangpu Hospital, School of Medicine, Tongji University, No.450 Tengyue Road, Shanghai 200090, China.
Dongyang LiuDepartment of Breast Surgery, Yangpu Hospital, School of Medicine, Tongji University, No.450 Tengyue Road, Shanghai 200090, China.
Xiaoyan LinDepartment of Breast Surgery, Yangpu Hospital, School of Medicine, Tongji University, No.450 Tengyue Road, Shanghai 200090, China.
Yuan HuangCellomics International Limited, Hong Kong, China.
Hui WangLaboratory of Tumor Molecular Biology, School of Basic Medical Sciences, Shanghai University of Medicine and Health Sciences, No.279 Zhouzhu Highway, Shanghai 201318, China.
Fengfeng CaiDepartment of Breast Surgery, Yangpu Hospital, School of Medicine, Tongji University, No.450 Tengyue Road, Shanghai 200090, China.
Yangpu Hospital of Tongji University · CNEast China Normal University · CNShanghai University of Medicine and Health Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is one of the most common types of malignancies in women and greatly threatens female health. KRT17 is a member of the keratin (KRT) protein family that is abundant in the outer layer of the skin, where it protects epithelial cells from damage. Although KRT17 has been studied in many types of cancer, the expression of KRT17 in specific subtypes of BC remains to be determined. In our study, we explored the expression and prognostic implications of KRT17 in BC patients using mRNA transcriptome data and clinical BC data from The Cancer Genome Atlas (TCGA). Receiver operating characteristic (ROC) curves and the chi-square test were used to assess the diagnostic value of KRT17 expression. Quantitative real-time PCR (qRT-PCR) analysis of BC cells and tissues and immunohistochemistry (IHC) analysis of clinical tissues were used for external validation. Furthermore, the relationship between KRT17 and immune function was studied by using the CIBERSORT algorithm to predict the proportions of tumor-infiltrating immune cells (TIICs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to explore the potential mechanisms by which KRT17 expression influences patient survival. We found that KRT17 expression was significantly lower in BC tissues than in normal tissues, especially in the luminal-A, luminal-B and human epidermal growth factor receptor-2 (HER2)

Indexed as

Breast NeoplasmsKeratin-17Biomarkers, TumorFemaleHumansInterleukin-17RNA, MessengerBiomarkers, TumorInterleukin-17Keratin-17KRT17 protein, humanRNA, Messengerbiomarkerbreast cancer (BC)HER2+KRT17prognosis

Identifiers

PMID36139022
PMCPMC9496156
OpenAlexW4293106198

What OpenQuestion holds

Textmetadata
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.