Evidence map›Paper›PMID 25937891›Full record

ReviewCell & bioscience2014

Evolving concepts of tumor heterogeneity.

Victoria R Zellmer, Siyuan Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Cell & bioscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. The Cancer Genome in the Long Reads Era.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  8. Review
  9. Article
  10. Tumour Genetic Heterogeneity in Relation to Oral Squamous Cell Carcinoma and Anti-Cancer Treatment.International journal of environmental research and public health · 2023
    Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Emerging Nano-Based Strategies Against Drug Resistance in Tumor Chemotherapy.Frontiers in bioengineering and biotechnology · 2021
    Review
  19. Review
  20. Review
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 1 institution in 1 country.

Victoria R ZellmerDepartment of Biological Science, Harper Cancer Research Institute, University of Notre Dame, A130 Harper Hall, Notre Dame, IN 46556 USA.
Siyuan ZhangDepartment of Biological Science, Harper Cancer Research Institute, University of Notre Dame, A130 Harper Hall, Notre Dame, IN 46556 USA.
University of Notre Dame · US

Funding

Dissecting the Role of Src Family Kinases in Breast Cancer Brain MetastasisR00CA158066 · NCI · UNIVERSITY OF NOTRE DAME · PI ZHANG, SIYUAN · 2012 to 2014
$707k
Dissecting the Role of Src Family Kinases in Breast Cancer Brain MetastasisK99CA158066 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ZHANG, SIYUAN · 2011 to 2011
$107k
NCI NIH HHS K99 CA158066NCI NIH HHS R00 CA158066
6 · The paper itself

Abstract

Past and recent findings on tumor heterogeneity have led clinicians and researchers to broadly define cancer development as an evolving process. This evolutionary model of tumorigenesis has largely been shaped by seminal reports of fitness-promoting mutations conferring a malignant cellular phenotype. Despite the major clinical and intellectual advances that have resulted from studying heritable heterogeneity, it has long been overlooked that compositional tumor heterogeneity and tumor microenvironment (TME)-induced selection pressures drive tumor evolution, significantly contributing to tumor development and outcomes of clinical cancer treatment. In this review, we seek to summarize major milestones in tumor evolution, identify key aspects of tumor heterogeneity in a TME-dependent evolutionary context, and provide insights on the clinical challenges facing researchers and clinicians alike.

Indexed as

Cancer stem cellOmic analysis and personalized therapyTumor evolutionTumor heterogeneityTumor microenvironment

Identifiers

PMID25937891
PMCPMC4417538
OpenAlexW2102630829

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.