Evidence map›Paper›PMID 33202946›Full record

ArticleCancers2020

The Expression Profiles of ADME Genes in Human Cancers and Their Associations with Clinical Outcomes.

Dong Gui Hu, Peter I Mackenzie, Pramod C Nair, Ross A McKinnon, Robyn Meech

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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Transcriptomic comparison of in vitro models of the human placenta.bioRxiv : the preprint server for biology · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Dong Gui HuDepartment of Clinical Pharmacology and Flinders Cancer Centre, Flinders University, College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, Adelaide 5042, SA, Australia.ORCID 0000-0002-4879-348X
Peter I MackenzieDepartment of Clinical Pharmacology and Flinders Cancer Centre, Flinders University, College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, Adelaide 5042, SA, Australia.
Pramod C NairDepartment of Clinical Pharmacology and Flinders Cancer Centre, Flinders University, College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, Adelaide 5042, SA, Australia.ORCID 0000-0002-8630-0121
Ross A McKinnonDepartment of Clinical Pharmacology and Flinders Cancer Centre, Flinders University, College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, Adelaide 5042, SA, Australia.
Robyn MeechDepartment of Clinical Pharmacology and Flinders Cancer Centre, Flinders University, College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, Adelaide 5042, SA, Australia.
Flinders University · AU

Funding

National Health and Medical Research Council 1143175
6 · The paper itself

Abstract

ADME genes are a group of genes that are involved in drug absorption, distribution, metabolism, and excretion (ADME). The expression profiles of ADME genes within tumours is proposed to impact on cancer patient survival; however, this has not been systematically examined. In this study, our comprehensive analyses of pan-cancer datasets from the Cancer Genome Atlas (TCGA) revealed differential intratumoral expression profiles for ADME genes in 21 different cancer types. Most genes also showed high interindividual variability within cancer-specific patient cohorts. Using Kaplan-Meier plots and logrank tests, we showed that intratumoral expression levels of twenty of the thirty-two core ADME genes were associated with overall survival (OS) in these cancers. Of these genes, five showed significant association with unfavourable OS in three cancers, including SKCM (

Indexed as

cancerdrug absorptiondrug distributiondrug excretiondrug metabolismendobiotic metabolismoverall survivalprognostic biomarkertherapeutic target

Identifiers

PMID33202946
PMCPMC7697355
OpenAlexW3104149526

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.