Evidence map›Paper›PMID 38383432›Full record

ArticleBMC medical genomics2024

Prognosis and biological function of SGOL1 in clear cell renal cell carcinoma: a multiomics analysis.

Zezhong Yang, Yunzhong Jiang, Lu Wang, Binghe Yu, Hui Cai, Jinhai Fan, Mengzhao Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Zezhong Yang *Department of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Address: No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Yunzhong Jiang *Department of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Address: No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Lu WangDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Address: No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Binghe YuDepartment of Ophthalmology, The First Affiliated Hospital of Xi'an Jiaotong University, Address: No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Hui CaiDepartment of Vascular Surgery, The First Affiliated Hospital of Xi'an Jiaotong University. Address: No, 277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Jinhai FanDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Address: No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China. jinhaif029@126.com.
Mengzhao ZhangDepartment of Vascular Surgery, The First Affiliated Hospital of Xi'an Jiaotong University. Address: No, 277 Yanta West Road, Xi'an, Shaanxi, 710061, China. zhangmz10@163.com.
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

National Natural Science Foundation of China 81572520
6 · The paper itself

Abstract

backgroundShugoshin-1 (SGOL1) is a mammalian ortholog of Shugoshin in yeast and is essential for precise chromosome segregation during mitosis and meiosis. Aberrant SGOL1 expression was reported to be closely correlated with the malignant progression of various tumors. However, the expression pattern and biological function of SGOL1 in clear cell renal cell carcinoma (ccRCC) are unclear.

methodsThe Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases provide mRNA expression data and outcome information for ccRCC patients. Immunohistochemistry (IHC) of ccRCC tissue chips verified SGOL1 protein expression in ccRCC patients. Data processing and visualization were performed with the UALCAN, TISIDB, TIMER, GSCA, LinkedOmics, and starBase databases. Gene Ontology (GO) annotation and gene set enrichment analysis (GSEA) were used to identify SGOL1-related biological functions and signaling pathways. Immune infiltration analysis was performed using the TISIDB database, ssGSEA algorithm, and TCGA-KIRC cohort. The biological role of SGOL1 in ccRCC was investigated using a series of in vitro cytological assays, including the MTT assay, EdU staining assay, flow cytometry analysis, Transwell assay, and wound healing assay.

resultsSGOL1 was highly expressed in ccRCC and linked to adverse clinicopathological parameters and unfavorable prognosis. Multivariate logistic regression and nomogram calibration suggested that SGOL1 might serve as an independent and reliable prognostic predictor of ccRCC. Functional enrichment analysis indicated that SGOL1 may be involved in the cell cycle, the p53 pathway, DNA replication, and T-cell activation. Furthermore, tumor microenvironment (TME) analysis suggested that SGOL1 was positively associated with Treg infiltration and immune checkpoint upregulation. In addition, we identified a potential SNHG17/PVT1/ZMIZ1-AS1-miR-23b-3p-SGOL1 axis correlated with ccRCC carcinogenesis and progression. Finally, we demonstrated that SGOL1 promoted ccRCC cell proliferation, migratory capacity, and invasion in vitro.

conclusionsSGOL1 potentially functions as an oncogene in ccRCC progression and might contribute to the immunosuppressive TME by increasing Treg infiltration and checkpoint expression, suggesting that targeting SGOL1 could be a novel therapeutic strategy for the treatment of ccRCC patients.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsAnimalsCell Cycle ProteinsHumansMammalsMeiosisMultiomicsPrognosisTumor MicroenvironmentCell Cycle ProteinsSGO1 protein, humanccRCCImmune infiltrationMalignant progressionPrognostic biomarkersSGOL1

Identifiers

PMID38383432
PMCPMC10882763
OpenAlexW4391994548

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.