Evidence map›Paper›PMID 38093319›Full record

ArticleBiomarker research2023

S100A8/A9 as a risk factor for breast cancer negatively regulated by DACH1.

Xiaojun Zhang, Mengke Niu, Tianye Li, Yuze Wu, Jinnan Gao, Ming Yi, Kongming Wu

Open access · goldAbstract read
In one paragraph

Article in Biomarker research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Review
  6. [Effect of ADAM12, S100A8, and Serum Tumor Markers on Chemotherapy Outcomes and Prognosis in Patients With Triple-Negative Breast Cancer].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    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

7 authors at 6 institutions in 1 country.

Xiaojun Zhang *General Surgery Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Tongji Shanxi HospitalThird Hospital of Shanxi Medical University, Taiyuan, China.
Mengke Niu *Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tianye LiDepartment of Gynecology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Yuze WuDepartment of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jinnan GaoGeneral Surgery Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Tongji Shanxi HospitalThird Hospital of Shanxi Medical University, Taiyuan, China.
Ming YiDepartment of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China. mingyi_onco@outlook.com.
Kongming WuGeneral Surgery Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Tongji Shanxi HospitalThird Hospital of Shanxi Medical University, Taiyuan, China. kmwu@tjh.tjmu.edu.cn.
Tongji Hospital · CNFirst Affiliated Hospital Zhejiang University · CNHuazhong University of Science and Technology · CNSecond Affiliated Hospital of Zhejiang University · CNShanxi Academy of Medical Sciences · CNShanxi Medical University · CN

Funding

China Postdoctoral Science Foundation 2022M722766National Natural Science Foundation of China 82272794
6 · The paper itself

Abstract

backgroundS100A8 and S100A9 are members of Ca

methodsS100A8/A9 protein in breast cancer samples was evaluated by immunohistochemistry staining with tumor tissue microarrays. The serum S100A8 concentration in patients was measured by enzyme-linked immunosorbent assay (ELISA). The S100A8 secreted by breast cancer cells was detected by ELISA as well. Pooled analyses were conducted to explore the relationships between S100A8/A9 mRNA level and clinicopathological features of breast cancer patients. Besides, the effects of S100A8/A9 and DACH1 on patient outcomes were analyzed by tissue assays. Finally, xenograft tumor assays were adopted to validate the effects of DACH1 on tumor growth and S100A8/A9 expression.

resultsThe level of S100A8/A9 was higher in breast cancer, relative to normal tissue. Increased S100A8/A9 was related to poor differentiation grade, loss of hormone receptors, and Her2 positive. Moreover, elevated S100A8/A9 predicted a worse prognosis for breast cancer patients. Meanwhile, serum S100A8 concentration was upregulated in Grade 3, basal-like, and Her2-overexpressed subtypes. Additionally, the results of public databases showed S100A8/A9 mRNA level was negatively correlated to DACH1. Stable overexpressing DACH1 in breast cancer cells significantly decreased the generation of S100A8. The survival analysis demonstrated that patients with high S100A8/A9 and low DACH1 achieved the shortest overall survival. The xenograft models indicated that DACH1 expression significantly retarded tumor growth and downregulated S100A8/A9 protein abundance.

conclusionS100A8/A9 is remarkedly increased in basal-like and Her2-overexpressed subtypes, predicting poor prognosis of breast cancer patients. Tumor suppressor DACH1 inhibits S100A8/A9 expression. The combination of S100A8/A9 and DACH1 predicted the overall survival of breast cancer patients more preciously.

Indexed as

BiomarkerBreast cancerDACH1PrognosisS100A8S100A9

Identifiers

PMID38093319
PMCPMC10720252
OpenAlexW4389669821

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LicenceCC BY
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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.