Evidence map›Paper›PMID 31321566›Full record

ArticleMedical oncology (Northwood, London, England)2019

Identification of important invasion and proliferation related genes in adrenocortical carcinoma.

Ali Mohamed Alshabi, Basavaraj Vastrad, Ibrahim Ahmed Shaikh, Chanabasayya Vastrad

Abstract read
PubMed Publisher
In one paragraph

Article in Medical oncology (Northwood, London, England), 2019. 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
2.0field-weighted citation impact, top 14% 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, 32 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

4 authors at 2 institutions in 2 countries.

Ali Mohamed AlshabiDepartment of Clinical Pharmacy, College of Pharmacy, Najran University, Najran, Saudi Arabia.ORCID http://orcid.org/0000-0002-9346-2559
Basavaraj VastradDepartment of Pharmaceutics, SET'S College of Pharmacy, Dharwad, Karnataka, 580002, India.ORCID http://orcid.org/0000-0003-2202-7637
Ibrahim Ahmed ShaikhDepartment of Pharmacology, College of Pharmacy, Najran University, Najran, Saudi Arabia.ORCID http://orcid.org/0000-0001-9812-2628
Chanabasayya VastradBiostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad, Karanataka, 580001, India. channu.vastrad@gmail.com.ORCID http://orcid.org/0000-0003-3615-4450
Najran University · SASri Dharmasthala Manjunatheshwara College of Dental Sciences & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adrenocortical carcinoma (ACC) is an end-stage hormonal syndrome. Although profound attempts have been made to illuminate the pathogenesis, the molecular mechanisms of ACC remain to be clarified. To identify the important genes in the progression of ACC, microarray datasets GSE19775 was downloaded from the gene expression omnibus database. The differentially-expressed genes (DEGs) were identified, and pathway and GO enrichment analyses were performed. The protein-protein interaction (PPI) network was constructed and the module analysis was performed using the protein interaction network analysis and Cytoscape. Also constructed target genes-miRNA regulatory network and target genes-TF regulatory network. Correlation of the hub genes were analyzed in The Cancer Genome Atlas. The prognostic values of hub genes were further validated by online tool UALCAN. Mutation analysis was done by online tool CBio Cancer Genomics Portal. A total of 884 DEGs were identified, with 441 in up regulation and 443 in down regulation. Pathways in catecholamine biosynthesis, aldosterone synthesis and secretion, pyrimidine deoxyribonucleosides salvage and systemic lupus erythematosus were the most significantly enriched for DEGs (up and down regulated). Blood vessel morphogenesis and cell cycle phase transition were the most significantly enriched term in biological processes, while extracellular matrix and chromosome, centromeric region were in cellular component and heparin binding and protein dimerization activity were in molecular function. Among the PPI networks and its module, target genes-miRNA regulatory network and target genes-TF regulatory network, hub genes were YWHAZ, FN1, GRK5, VCAM1, GATA6, TXNIP, HSPA1A, and F11R. Hub genes such as YWHAZ, STAT1, ICAM1, SH3BP5, CD83, FN1, TK1, HIST1H1C, CABLES1, and MCM3 were associated with poor overall survival, while hub genes such as STAT1, ICAM1, CD83, FN1, TK1, HIST1H1C, and MCM3 were highly expressed in stage 4. In conclusion, DEGs and hub genes diagnosed in this study may deepen our understanding of molecular mechanisms underlying the progression of ACC, and provide important targets for diagnosis and treatment of ACC.

Indexed as

Adrenal Cortex NeoplasmsAdrenocortical CarcinomaBiomarkers, TumorCell ProliferationComputational BiologyGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksGenes, NeoplasmHumansMicroRNAsNeoplasm InvasivenessPrognosisProtein Interaction MapsSurvival AnalysisTranscription FactorsBiomarkers, TumorMicroRNAsTranscription FactorsAdrenocortical carcinomaBioinformatics analysisDifferentially-expressed genesPPI networkSurvival analysis

Identifiers

PMID31321566
OpenAlexW2958400112

What OpenQuestion holds

Textmetadata
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.