Evidence map›Paper›PMID 36195857›Full record

ArticleBMC cancer2022

Development and validation of an ECM-related prognostic signature to predict the immune landscape of human hepatocellular carcinoma.

Guozhi Wu, Yuan Yang, Rong Ye, Hanxun Yue, Huiyun Zhang, Taobi Huang, Min Liu, Ya Zheng, Yuping Wang, Yongning Zhou and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 7 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

11 authors at 2 institutions in 1 country.

Guozhi Wu *The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, Gansu, China.
Yuan Yang *The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, Gansu, China.
Rong Ye *Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China.
Hanxun YueThe First Clinical Medical College, Lanzhou University, Lanzhou, 730000, Gansu, China.
Huiyun ZhangThe First Clinical Medical College, Lanzhou University, Lanzhou, 730000, Gansu, China.
Taobi HuangThe First Clinical Medical College, Lanzhou University, Lanzhou, 730000, Gansu, China.
Min LiuDepartment of Gastroenterology, The First Hospital of Lanzhou University, No.1 West Donggang Road, Lanzhou, 730000, Gansu, China.
Ya ZhengDepartment of Gastroenterology, The First Hospital of Lanzhou University, No.1 West Donggang Road, Lanzhou, 730000, Gansu, China.
Yuping WangDepartment of Gastroenterology, The First Hospital of Lanzhou University, No.1 West Donggang Road, Lanzhou, 730000, Gansu, China.
Yongning ZhouDepartment of Gastroenterology, The First Hospital of Lanzhou University, No.1 West Donggang Road, Lanzhou, 730000, Gansu, China. yongningzhou@sina.com.
Qinghong GuoDepartment of Gastroenterology, The First Hospital of Lanzhou University, No.1 West Donggang Road, Lanzhou, 730000, Gansu, China. guoza@sohu.com.
First Hospital of Lanzhou University · CNLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global burden of hepatocellular carcinoma (HCC) is increasing, negatively impacting social health and economies. The discovery of novel and valuable biomarkers for the early diagnosis and therapeutic guidance of HCC is urgently needed.

methodsExtracellular matrix (ECM)-related gene sets, transcriptome data and mutation profiles were downloaded from the Matrisome Project and The Cancer Genome Atlas (TCGA)-LIHC datasets. Coexpression analysis was initially performed with the aim of identifying ECM-related lncRNAs (r > 0.4, p < 0.001). The screened lncRNAs were subjected to univariate analysis to obtain a series of prognosis-related lncRNA sets, which were incorporated into least absolute selection and shrinkage operator (LASSO) regression for signature establishment. Following the grouping of LIHC samples according to risk score, the correlations between the signature and clinicopathological, tumour immune infiltration, and mutational characteristics as well as therapeutic response were also analysed. lncRNA expression levels used for modelling were finally examined at the cellular and tissue levels by real-time PCR. All analyses were based on R software.

resultsAL031985.3 and MKLN1-AS were ultimately identified as signature-related lncRNAs, and both were significantly upregulated in HCC tissue samples and cell lines. The prognostic value of the signature reflected by the AUC value was superior to that of age, sex, grade and stage. Correlation analysis results demonstrated that high-risk groups exhibited significant enrichment of immune cells (DCs, macrophages and Tregs) and increased expression levels of all immune checkpoint genes. Prominent differences in clinicopathological profiles, immune functions, tumour mutation burden (TMB) and drug sensitivity were noted between the two risk groups.

conclusionsOur signature represents a valuable predictive tool in the prognostic management of HCC patients. Further validation of the mechanisms involved is needed.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsRNA, Long NoncodingBiomarkers, TumorExtracellular MatrixGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorRNA, Long NoncodingExtracellular matrixHepatocellular carcinomaImmune infiltrationLncRNATumour mutation burden

Identifiers

PMID36195857
PMCPMC9531523
OpenAlexW4301178916

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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.