Evidence map›Paper›PMID 34746301›Full record

ArticleBioMed research international2021

Bioinformatic Evidence Reveals that Cell Cycle Correlated Genes Drive the Communication between Tumor Cells and the Tumor Microenvironment and Impact the Outcomes of Hepatocellular Carcinoma.

Dongdong Chen, Zhijun Feng, Mingzhen Zhou, Zhijian Ren, Fan Zhang, Yumin Li

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-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

12 citing papers in PubMed, 14 citations in OpenAlex.

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  10. ASPM promotes ATR-CHK1 activation and stabilizes stalled replication forks in response to replication stress.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

6 authors at 3 institutions in 1 country.

Dongdong ChenLanzhou University Second Hospital, No. 82, Cuiyingmen, Chengguan District, Lanzhou, Gansu, China.ORCID https://orcid.org/0000-0002-3333-1135
Zhijun FengSouthern University of Science and Technology Hospital, No. 6019, Xili Liuxian Avenue, Nanshan District, Shenzhen, Guangdong, China.ORCID https://orcid.org/0000-0003-1813-1669
Mingzhen ZhouLanzhou University Second Hospital, No. 82, Cuiyingmen, Chengguan District, Lanzhou, Gansu, China.ORCID https://orcid.org/0000-0003-3051-7847
Zhijian RenLanzhou University Second Hospital, No. 82, Cuiyingmen, Chengguan District, Lanzhou, Gansu, China.ORCID https://orcid.org/0000-0002-1231-4854
Fan ZhangLanzhou University Second Hospital, No. 82, Cuiyingmen, Chengguan District, Lanzhou, Gansu, China.ORCID https://orcid.org/0000-0002-6442-6516
Yumin LiLanzhou University Second Hospital, No. 82, Cuiyingmen, Chengguan District, Lanzhou, Gansu, China.ORCID https://orcid.org/0000-0002-9267-1412
Lanzhou University Second Hospital · CNGansu Provincial Hospital · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is an aggressive cancer type with poor prognosis; thus, there is especially necessary and urgent to screen potential prognostic biomarkers for early diagnosis and novel therapeutic targets. In this study, we downloaded target data sets from the GEO database, and obtained codifferentially expressed genes using the limma

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCell CycleComputational BiologyDatabases, GeneticGene ExpressionGene OntologyGene Regulatory NetworksHumansLiver NeoplasmsPrognosisProtein Interaction MapsSignal TransductionSurvival AnalysisTranscriptomeTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID34746301
PMCPMC8564189
OpenAlexW3210879444

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.