Evidence map›Paper›PMID 33302383›Full record

ArticleCancers2020

Genomic Fabric Remodeling in Metastatic Clear Cell Renal Cell Carcinoma (ccRCC): A New Paradigm and Proposal for a Personalized Gene Therapy Approach.

Dumitru A Iacobas, Victoria E Mgbemena, Sanda Iacobas, Kareena M Menezes, Huichen Wang, Premkumar B Saganti

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Personalized 3-Gene Panel for Prostate Cancer Target Therapy.Current issues in molecular biology · 2022
    Article
  9. Article
  10. Article
  11. Article
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 2 institutions in 1 country.

Dumitru A IacobasPersonalized Genomics Laboratory, CRI Center for Computational Systems Biology, Roy G Perry College of Engineering, Prairie View A&M University, Prairie View, TX 77446, USA.ORCID 0000-0001-9700-6537
Victoria E MgbemenaDepartment of Biology, MD and S Brailsford College of Arts and Sciences, Prairie View A&M University, Prairie View, TX 77446, USA.
Sanda IacobasDepartment of Pathology, New York Medical College, Valhalla, NY 10595, USA.
Kareena M MenezesCRI Radiation Institute for Science & Engineering, MD and S Brailsford College of Arts and Sciences, Prairie View A&M University, Prairie View, TX 77446, USA.
Huichen WangCRI Radiation Institute for Science & Engineering, MD and S Brailsford College of Arts and Sciences, Prairie View A&M University, Prairie View, TX 77446, USA.ORCID 0000-0002-0366-8554
Premkumar B SagantiCRI Radiation Institute for Science & Engineering, MD and S Brailsford College of Arts and Sciences, Prairie View A&M University, Prairie View, TX 77446, USA.ORCID 0000-0002-2456-210X
Prairie View A&M University · USNew York Medical College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Published transcriptomic data from surgically removed metastatic clear cell renal cell carcinoma samples were analyzed from the genomic fabric paradigm (GFP) perspective to identify the best targets for gene therapy. GFP considers the transcriptome as a multi-dimensional mathematical object constrained by a dynamic set of expression controls and correlations among genes. Every gene in the chest wall metastasis, two distinct cancer nodules, and the surrounding normal tissue of the right kidney was characterized by three independent measures: average expression level, relative expression variation, and expression correlation with each other gene. The analyses determined the cancer-induced regulation, control, and remodeling of the chemokine and vascular endothelial growth factor (VEGF) signaling, apoptosis, basal transcription factors, cell cycle, oxidative phosphorylation, renal cell carcinoma, and RNA polymerase pathways. Interestingly, the three cancer regions exhibited different transcriptomic organization, suggesting that the gene therapy should not be personalized only for every patient but also for each major cancer nodule. The gene hierarchy was established on the basis of gene commanding height, and the gene master regulators

Indexed as

ALG13basal transcription factorscell cyclechemokine signalingFAM27Cgenomic medicinekidney cancerTASORVEGF signalingVHL

Identifiers

PMID33302383
PMCPMC7762545
OpenAlexW3092358992

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.