Evidence map›Paper›PMID 39695152›Full record

ArticleCell death discovery2024

SLC50A1 inhibits the doxorubicin sensitivity in hepatocellular carcinoma cells through regulating the tumor glycolysis.

Ganggang Wang, Wenzhi Jin, Lianmei Zhang, Meiyuan Dong, Xin Zhang, Zhijie Zhou, Xiaoliang Wang

Abstract read
In one paragraph

Article in Cell death discovery, 2024. 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
–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

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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.

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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.

Ganggang Wang *Department of Hepatobiliary Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Wenzhi Jin *Department of Hepatobiliary Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Lianmei Zhang *Department of Hepatobiliary Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Meiyuan Dong *Graduate School of Hebei Medical University, Shijiazhuang, People's Republic of China.
Xin ZhangDepartment of Hepatobiliary Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Zhijie ZhouDepartment of Hepatobiliary Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Xiaoliang WangDepartment of Hepatobiliary Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China. Xiaoliangwang2018@163.com.ORCID http://orcid.org/0000-0001-9851-0436

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic reprogramming has been found to be closely associated with the occurrence and development of hepatocellular carcinoma (HCC). The relationship between SLC50A1, a member of the SLC family involved in glucose transmembrane transport, and HCC remains unclear. This study aims to investigate the function and underlying mechanisms of SLC50A1 in the occurrence and progression of HCC. Based on bioinformatics analysis and clinical sample testing, we observed a significant upregulation of SLC50A1 in HCC, which is correlated with unfavorable prognosis in HCC patients. Additionally, there is a noticeable correlation between the expressions of SLC50A1 and METTL3. Further in vitro and in vivo experiments confirmed that SLC50A1 can regulate cellular glycolysis and the cell cycle, thereby promoting the proliferation of HCC cells while reducing apoptosis. Moreover, our findings indicate that SLC50A1 enhances resistance of HCC cells to DOX and 2-DG. Furthermore, we discovered that the m6A methyltransferase METTL3 mediates the methylation modification of SLC50A1. The recognition and binding of the modified SLC50A1 by IGF2BP2 subsequently promote its stability and translational expression. Consequently, our research identifies the METTL3/SLC50A1 axis as a novel therapeutic target in the context of HCC.

Identifiers

PMID39695152
PMCPMC11655560

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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.