Evidence map›Paper›PMID 38226966›Full record

ArticleAging2024

Identification and validation of SLCO4C1 as a biological marker in hepatocellular carcinoma based on anoikis classification features.

Tianbing Wang, Kai Guo, Shoushan Yang, Di Zhang, Haodong Cui, Jimin Yin, Shuhui Yuan, Yong Wang, Yong Qi, Wenyong Wu

Open access · hybridAbstract read
In one paragraph

Article in Aging, 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
1.3field-weighted citation impact, top 22% 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, 3 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Tianbing WangDepartment of General Surgery, Anhui No. 2 Provincial People’s Hospital, Hefei 230000, China.
Kai GuoDepartment of General Surgery, Anhui No. 2 Provincial People’s Hospital, Hefei 230000, China.
Shoushan YangAnhui No. 2 Provincial People’s Hospital Clinical College of Anhui Medical University, Hefei 230000, China.
Di ZhangClinical Genomic Center, Hefei KingMed for Clinical Laboratory, Hefei 230000, China.
Haodong CuiAnhui No. 2 Provincial People’s Hospital Clinical College of Anhui Medical University, Hefei 230000, China.
Jimin YinAnhui No. 2 Provincial People’s Hospital Clinical College of Anhui Medical University, Hefei 230000, China.
Shuhui YuanAnhui Huaheng Biotechnology Co., Ltd., Hefei 230000, China.
Yong WangDepartment of General Surgery, Anhui No. 2 Provincial People’s Hospital, Hefei 230000, China.
Yong QiDepartment of General Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230000, China.
Wenyong WuAnhui No. 2 Provincial People’s Hospital Clinical College of Anhui Medical University, Hefei 230000, China.
Anhui Provincial Hospital · CNAnhui Medical University · CNKingmed Diagnostics · CNSecond Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) exhibits a high degree of invasiveness and is closely associated with rapid disease progression. Multiple lines of evidence indicate a strong correlation between anoikis resistance and tumor progression, invasion, and metastasis. Nevertheless, the classification of anoikis in HCC and the investigation of novel biological target mechanisms in this context continue to pose challenges, requiring further exploration.

methodsCombined with HCC samples from TCGA, GEO and ICGC databases, cluster analysis was conducted on anoikis genes, revealing novel patterns among different subtypes. Significant gene analysis of different gene subtypes was performed using WCGNA. The anoikis prognostic risk model was established by Lasso-Cox. Go, KEGG, and GSEA were applied to investigate pathway enrichment primarily observed in risk groups. We compared the disparities in immune infiltration, TMB, tumor microenvironment (TME), and drug sensitivity between the two risk groups. RT-qPCR and Western blotting were performed to validate the expression levels of SLCO4C1 in HCC. The biological functions of SLCO4C1 in HCC cells were assessed through various experiments, including CCK8 assay, colony formation assay, invasion migration assay, wound healing assay, and flow cytometry analysis.

resultsHCC was divided into 2 anoikis subtypes, and the subtypeB had a better prognosis. An anoikis prognostic model based on 12 (COPZ2, ACTG2, IFI27, SPP1, EPO, SLCO4C1, RAB26, STC2, RAC3, NQO1, MYCN, HSPA1B) risk genes is important for survival and prognosis. Significant differences were observed in immune cell infiltration, TME, and drug sensitivity analysis between the risk groups. SLCO4C1 was downregulated in HCC. SLCO4C1 downregulation promoted the proliferation, invasion, migration, and apoptosis of HCC cells. The tumor-suppressive role of SLCO4C1 in HCC has been confirmed.

conclusionsOur study presents a novel anoikis classification method for HCC that reveals the association between anoikis features and HCC. The anoikis feature is a critical biomarker bridging tumor cell death and tumor immunity. In this study, we provided the first evidence of SLCO4C1 functioning as a tumor suppressor in HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsOrganic Anion TransportersAnoikisBiological AssayBiomarkersHumansPrognosisTumor MicroenvironmentBiomarkersOrganic Anion TransportersSLCO4C1 protein, humananoikisdrug sensitivityhepatocellular carcinomaimmune cells infiltrationprognostic biomarkerSLCO4C1tumor microenvironment

Identifiers

PMID38226966
PMCPMC10866452
OpenAlexW4390898433

What OpenQuestion holds

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LicenceCC BY
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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.