Evidence map›Paper›PMID 40011447›Full record

ArticleCell death & disease2025

S100A2 promotes clear cell renal cell carcinoma tumor metastasis through regulating GLUT2 expression.

Mengli Deng, Shaoxia Liao, Jingwen Deng, Chen Li, Lu Liu, Qizheng Han, Yifeng Huo, Xiao Zhou, Xiaodong Teng, Maode Lai and 2 more

Abstract read
In one paragraph

Article in Cell death & disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

12 authors.

Mengli DengDepartment of Pathology, Zhejiang University School of Medicine, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Sciences (2019RU042), Hangzhou, 310058, Zhejiang, China.
Shaoxia LiaoDepartment of Pathology, Zhejiang University School of Medicine, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Sciences (2019RU042), Hangzhou, 310058, Zhejiang, China.
Jingwen DengDepartment of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China.
Chen LiInstitute of Metabonomics & Medical NMR, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
Lu LiuDepartment of Pathology, Zhejiang University School of Medicine, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Sciences (2019RU042), Hangzhou, 310058, Zhejiang, China.
Qizheng HanDepartment of Pathology, Zhejiang University School of Medicine, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Sciences (2019RU042), Hangzhou, 310058, Zhejiang, China.
Yifeng HuoDepartment of Pharmacology, China Pharmaceutical University, Nanjing, 210009, China.
Xiao ZhouDepartment of Pathology, Zhejiang University School of Medicine, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Sciences (2019RU042), Hangzhou, 310058, Zhejiang, China.
Xiaodong TengDepartment of Pathology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Maode LaiDepartment of Pathology, Zhejiang University School of Medicine, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Sciences (2019RU042), Hangzhou, 310058, Zhejiang, China. lmp@zju.edu.cn.
Honghe ZhangDepartment of Pathology, Zhejiang University School of Medicine, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Sciences (2019RU042), Hangzhou, 310058, Zhejiang, China. honghezhang@zju.edu.cn.ORCID http://orcid.org/0000-0001-5954-2857
Chong LaiDepartment of Urology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China. clai8827@zju.edu.cn.ORCID http://orcid.org/0000-0002-6581-9987

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82072629National Natural Science Foundation of China (National Science Foundation of China) 82072811
6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is the predominant subtype of renal cancer and is highly malignant. Despite advances in diagnostics and treatment, the prognosis for ccRCC remains poor. The dual nature (promotion or inhibition) of S100A2 in different cancer types shows the complex involvement of its tumorigenesis, but its effect in ccRCC remains unclear. In this study, we first elucidate the tumor-promoting function of S100A2 in ccRCC by reprogramming glycolysis. Mechanistically, we demonstrate that S100A2 accelerates cancer progression through its interaction with the transcription factor HNF1A, leading to activating GLUT2 transcription. The upregulation of GLUT2 significantly enhances glucose uptake by cancer cells, thereby fueling augmented glucose metabolism and fostering the malignant progression of ccRCC. Collectively, our findings highlight the pivotal role of the S100A2-HNF1A-GLUT2 axis in promoting migration and invasion of ccRCC by amplifying glycolysis and suggest that targeting the S100A2-HNF1A-GLUT2 axis is clinically relevant for the treatment of metastatic ccRCC.

Indexed as

Carcinoma, Renal CellGlucose Transporter Type 2Kidney NeoplasmsS100 ProteinsAnimalsCell Line, TumorCell MovementChemotactic FactorsGene Expression Regulation, NeoplasticGlucoseGlycolysisHepatocyte Nuclear Factor 1-alphaHumansMiceMice, NudeNeoplasm MetastasisChemotactic FactorsGlucoseGlucose Transporter Type 2Hepatocyte Nuclear Factor 1-alphaS100A2 protein, humanS100 ProteinsSLC2A2 protein, human

Identifiers

PMID40011447
PMCPMC11865524

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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.