Evidence map›Paper›PMID 33955820›Full record

ArticleBioengineered2021

Identification and immunoprofiling of key prognostic genes in the tumor microenvironment of hepatocellular carcinoma.

Tianbing Wang, Bang Chen, Tao Meng, Zhiqiang Liu, Wenyong Wu

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 20 citations in OpenAlex.

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  11. Tumor Necrosis Factor-Mediators of inflammation · 2023
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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

5 authors at 3 institutions in 1 country.

Tianbing WangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Bang ChenDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Tao MengDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zhiqiang LiuDepartment of General Surgery, Anhui NO.2 Provinicial People's Hospital, Hefei, China.
Wenyong WuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CNAnhui Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor microenvironment (TME) is involved in the occurrence and development of hepatocellular carcinoma (HCC), and immune cells in the TME have been implicated in its progression and treatment. However, the association of genes involved in the TME with HCC prognosis remains unclear. Thus, in this study, we obtained transcriptomic and clinicopathological data of patients with HCC from The Cancer Genome Atlas to identify key genes in TME associated with HCC prognosis. Stromal and immune cell scores were calculated using the ESTIMATE method, and differentially expressed genes (DEGs) were determined. We identified 830 DEGs, which were further subjected to survival analyses and functional enrichment analysis. Next, we identified prognostic TME-associated DEGs, established a protein-protein interaction (PPI) network, and performed Cox analysis.Consequently, four key prognostic genes (

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsTumor MicroenvironmentHumansLymphocytes, Tumor-InfiltratingPrognosisTranscriptomedifferentially expressed genesHepatocellular carcinomaimmune cell infiltrationtumor-infiltrating immune cellstumor microenvironment

Identifiers

PMID33955820
PMCPMC8806269
OpenAlexW3158031861

What OpenQuestion holds

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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.