Evidence map›Paper›PMID 28871446›Full record

ReviewJournal of molecular medicine (Berlin, Germany)2017

Mechanisms and clinical implications of tumor heterogeneity and convergence on recurrent phenotypes.

Jasmine A McQuerry, Jeffrey T Chang, David D L Bowtell, Adam Cohen, Andrea H Bild

Open access · greenAbstract readReview
In one paragraph

Review in Journal of molecular medicine (Berlin, Germany), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Radiomic features of CECT and SUVmax of dual-tracer PET/CT reveal PD-L1 spatial heterogeneity in PDAC.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Cellular and molecular aspects of drug resistance in cancers.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
    Review
  12. Article
  13. A modelling framework for cancer ecology and evolution.Journal of the Royal Society, Interface · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
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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

5 authors at 3 institutions in 2 countries.

Jasmine A McQuerryDepartment of Pharmacology and Toxicology, University of Utah, Salt Lake City, UT, USA.
Jeffrey T ChangDepartment of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, Houston, TX, USA.
David D L BowtellPeter MacCallum Cancer Centre, Parkville, VIC, Australia.
Adam CohenOncology Division, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
Andrea H BildDepartment of Pharmacology and Toxicology, University of Utah, Salt Lake City, UT, USA. abild@coh.org.
University of Utah · USGarvan Institute of Medical Research · AUThe University of Texas Health Science Center at Houston · US

Funding

Project 2: Targeting Cooperative Phenotypes Common in Spatial HeterogeneityU54CA209978 · NCI · UNIVERSITY OF UTAH · PI BILD, ANDREA HOPE · 2017 to 2021
$10.5M
NCI NIH HHS U54 CA209978
6 · The paper itself

Abstract

Tumor heterogeneity has been identified at various -omic levels. The tumor genome, transcriptome, proteome, and phenome can vary widely across cells in patient tumors and are influenced by tumor cell interactions with heterogeneous physical conditions and cellular components of the tumor microenvironment. Here, we explore the concept that while variation exists at multiple -omic levels, changes at each of these levels converge on the same pathways and lead to convergent phenotypes in tumors that can provide common drug targets. These phenotypes include cellular growth and proliferation, sustained oncogenic signaling, and immune avoidance, among others. Tumor heterogeneity complicates treatment of patient cancers as it leads to varied response to therapies. Identification of convergent cellular phenotypes arising in patient cancers and targeted therapies that reverse them has the potential to transform the way clinicians treat these cancers and to improve patient outcome.

Indexed as

AnimalsEnergy MetabolismGenetic HeterogeneityHumansMolecular Targeted TherapyNeoplasmsPhenotypeRecurrenceTumor MicroenvironmentCancer therapyConvergent phenotypesTumor heterogeneityTumor microenvironment

Identifiers

PMID28871446
PMCPMC6296823
OpenAlexW2752915285

What OpenQuestion holds

Textmetadata
LicenceTDM
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.