Evidence map›Paper›PMID 34761566›Full record

ArticleCancer medicine2021

The roles of ferroptosis regulatory gene SLC7A11 in renal cell carcinoma: A multi-omics study.

Fangshi Xu, Yibing Guan, Li Xue, Peng Zhang, Mingrui Li, Mei Gao, Tie Chong

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 80 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. NK cells in renal cell carcinoma and its implications for CAR-NK therapy.Frontiers in cell and developmental biology · 2025
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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 1 institution in 1 country.

Fangshi XuDepartment of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0002-2282-4743
Yibing GuanDepartment of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Li XueDepartment of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Peng ZhangDepartment of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Mingrui LiDepartment of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Mei GaoDepartment of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Tie ChongDepartment of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.ORCID 0000-0002-2035-6544
Second Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ferroptosis inhibitory gene Solute carrier family 7 member 11 (SLC7A11) provides a new strategy for anticancer treatment. However, its function in renal cell carcinoma (RCC) remains elusive.

methodsThe expression and somatic mutation information of SLC7A11 in RCC samples were determined using The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), Gene Expression Omnibus (GEO), Oncomine, and cBioPortal databases. The prognostic value of SLC7A11 was assessed through survival analysis, Receiver operating characteristic curve (ROC) analysis, independent prognostic analysis, clinical subgroup analysis, and nomogram. Its prognostic value was also validated in the ICGC and GSE29607 cohorts. Gene set enrichment analysis (GSEA) was employed to investigate the effects of SLC7A11 on multiple metabolic pathways. The CIBERSORT algorithm and single-sample gene set enrichment analysis (ssGSEA) method were applied to evaluate the effects of SLC7A11 on the tumor immune microenvironment (TIM). SLC7A11's therapeutic correlations were analyzed using the GSE87121, GSE67501, and GSDC datasets. Finally, the biofunctions of SLC7A11 in renal cancer cells and ferroptosis were ascertained by MTT, wound healing, transwell, and western blot assays.

resultsThrough multiple datasets, SLC7A11 was found to be markedly upregulated in RCC. In terms of prognosis, SLC7A11 overexpression conferred a worse prognosis and was identified as an independent prognostic factor. Its prognostic value was validated in ICGC cohort. Moreover, high SL7CA11 expression could stimulate nucleotides, fatty acids, and amino acid metabolism to meet the proliferative consumption of tumor cells. As for the immune effect, SLC7A11 suppressed antitumor immunity by reducing the abundances of CD8+ T and NK cells. Regarding the therapeutic response, SLC7A11 expression was not correlated with the sensitivities of most chemotherapy and targeted drugs. Finally, SLC7A11 promoted the proliferation, migration, and invasion of renal cancer cells by enhancing GPX4 output, which in turn inhibits ferroptosis.

conclusionsSLC7A11 not only deeply influences RCC prognosis and TIM, but also promotes RCC progression by inhibiting ferroptosis and inducing metabolic reprogramming. In addition, SLC7A11 weakly affects the therapeutic effect and sensitivities of multiple chemotherapy and targeted drugs.

Indexed as

Carcinoma, Renal CellFerroptosisGene Expression Regulation, NeoplasticHumansKidney NeoplasmsMetabolomicsMutationPrognosisSurvival AnalysisTransfectionferroptosismetabolismprognosisrenal cell carcinomaSLC7A11tumor immune environment

Identifiers

PMID34761566
PMCPMC8683539
OpenAlexW3212084264

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.