Evidence map›Paper›PMID 36973786›Full record

ArticleBMC medical genomics2023

Systematic pan-cancer analysis identifies SLC31A1 as a biomarker in multiple tumor types.

Fan-Sheng Kong, Chun-Yan Ren, Ruofan Jia, Yuan Zhou, Jian-Huan Chen, Yaping Ma

Open access · goldFull text read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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  7. Preclinical Theranostic Profiling of [Molecules (Basel, Switzerland) · 2025
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  9. Review
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  11. Cuproplasia and cuproptosis, two sides of the coin.Cancer communications (London, England) · 2025
    Review
  12. Article
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  14. Review
  15. Review
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  17. Targeting cuproplasia and cuproptosis in cancer.Nature reviews. Clinical oncology · 2024
    Review
  18. Review
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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

6 authors at 2 institutions in 1 country.

Fan-Sheng Kong *Department of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, 214122, Jiangsu, China.
Chun-Yan Ren *Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Ruofan JiaDepartment of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, 214122, Jiangsu, China.
Yuan ZhouDepartment of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, 214122, Jiangsu, China.
Jian-Huan ChenLaboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China. cjh_bio@hotmail.com.
Yaping MaDepartment of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, 214122, Jiangsu, China. myp112@163.com.
Jiangnan University · CNWuxi Fourth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSolute Carrier Family 31 Member 1 (SLC31A1) has recently been identified as a cuproptosis-regulatory gene. Recent studies have indicated that SLC31A1 may play a role in colorectal and lung cancer tumorigenesis. However, the role of SLC31A1 and its cuproptosis-regulatory functions in multiple tumor types remains to be further elucidated.

methodsOnline websites and datasets such as HPA, TIMER2, GEPIA, OncoVar, and cProSite were used to extract data on SLC31A1 in multiple cancers. DAVID and BioGRID were used to conduct functional analysis and construct the protein-protein interaction (PPI) network, respectively. The protein expression data of SLC31A1 was obtained from the cProSite database.

resultsThe Cancer Genome Atlas (TCGA) datasets showed increased SLC31A1 expression in tumor tissues compared with non-tumor tissues in most tumor types. In patients with tumor types including adrenocortical carcinoma, low-grade glioma, or mesothelioma, higher SLC31A1 expression was associated with shorter overall survival and disease-free survival. S105Y was the most prevalent point mutation in SLC31A1 in TCGA pan-cancer datasets. Moreover, SLC31A1 expression was positively correlated with the infiltration of immune cells such as macrophages and neutrophils in tumor tissues in several tumor types. Functional enrichment analysis showed that SLC31A1 co-expressed genes were involved in protein binding, integral components of the membrane, metabolic pathways, protein processing, and endoplasmic reticulum. Copper Chaperone For Superoxide Dismutase, Phosphatidylinositol-4,5-Bisphosphate 3-Kinase Catalytic Subunit Alpha and Solute Carrier Family 31 Member 2 were copper homeostasis-regulated genes shown in the PPI network, and their expression was positively correlated with SLC31A1. Analysis showed there was a correlation between SLC31A1 protein and mRNA in various tumors.

conclusionsThese findings demonstrated that SLC31A1 is associated with multiple tumor types and disease prognosis. SLC31A1 may be a potential key biomarker and therapeutic target in cancers.

Indexed as

Adrenal Cortex NeoplasmsAdrenocortical CarcinomaLung NeoplasmsBiomarkersCopperCopper Transporter 1HumansBiomarkersCopperCopper Transporter 1SLC31A1 protein, humanBiomarkerCuproptosisImmune infiltrationPan-cancer analysisPrognosisSLC31A1

Identifiers

PMID36973786
PMCPMC10041742
OpenAlexW4361305193

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Textfull text, public
LicenceCC BY
measurements read10
Read underepoch 390

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.