Evidence map›Paper›PMID 34209090›Full record

ArticleCells2021

A Personalized Genomics Approach of the Prostate Cancer.

Sanda Iacobas, Dumitru A Iacobas

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Metabolic Deregulation in Pulmonary Hypertension.Current issues in molecular biology · 2023
    Article
  11. Article
  12. Article
  13. Personalized 3-Gene Panel for Prostate Cancer Target Therapy.Current issues in molecular biology · 2022
    Article
  14. 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

2 authors at 2 institutions in 1 country.

Sanda IacobasDepartment of Pathology, New York Medical College, Valhalla, NY 10595, USA.
Dumitru A IacobasPersonalized Genomics Laboratory, 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
New York Medical College · USPrairie View A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decades of research identified genomic similarities among prostate cancer patients and proposed general solutions for diagnostic and treatments. However, each human is a dynamic unique with never repeatable transcriptomic topology and no gene therapy is good for everybody. Therefore, we propose the Genomic Fabric Paradigm (GFP) as a personalized alternative to the biomarkers approach. Here, GFP is applied to three (one primary-"A", and two secondary-"B" & "C") cancer nodules and the surrounding normal tissue ("N") from a surgically removed prostate tumor. GFP proved for the first time that, in addition to the expression levels, cancer alters also the cellular control of the gene expression fluctuations and remodels their networking. Substantial differences among the profiled regions were found in the pathways of P53-signaling, apoptosis, prostate cancer, block of differentiation, evading apoptosis, immortality, insensitivity to anti-growth signals, proliferation, resistance to chemotherapy, and sustained angiogenesis.

Indexed as

Precision MedicineAgedApoptosisCell ProliferationCell SurvivalGene Expression Regulation, NeoplasticGene Regulatory NetworksGenes, NeoplasmGenetic TherapyGenomicsHumansMaleProstatic NeoplasmsSignal TransductionTumor Suppressor Protein p53Tumor Suppressor Protein p53apoptosisENTPD2evading apoptosisgene master regulatorsgenomic fabricimmortalityP53 signalingproliferationtumor heterogeneity

Identifiers

PMID34209090
PMCPMC8305988
OpenAlexW3173849304

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.