Evidence map›Paper›PMID 26156638›Full record

ReviewNature reviews. Cancer2015

Tumorigenesis: it takes a village.

Doris P Tabassum, Kornelia Polyak

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 304 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
304citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

304 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  6. Article
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  14. Article
  15. Tumors and their microenvironments: Learning from pediatric brain pathologies.Biochimica et biophysica acta. Reviews on cancer · 2025
    Review
  16. Article
  17. Review
  18. Multidrug Resistance: Are We Still Afraid of the Big Bad Wolf.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  19. Tumor growth dynamics under adaptive therapy: a multi-scale computational approach.Theory in biosciences = Theorie in den Biowissenschaften · 2025
    Article
  20. Review

244 more citing papers are in PubMed but not listed here.

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.

Doris P Tabassum1] Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA. [2] BBS Program, Harvard Medical School, Boston, Massachusetts 02115, USA.
Kornelia Polyak1] Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA. [2] BBS Program, Harvard Medical School, Boston, Massachusetts 02115, USA. [3] Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA. [4] Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although it is widely accepted that most cancers exhibit some degree of intratumour heterogeneity, we are far from understanding the dynamics that operate among subpopulations within tumours. There is growing evidence that cancer cells behave as communities, and increasing attention is now being directed towards the cooperative behaviour of subclones that can influence disease progression. As expected, these interactions can add a greater layer of complexity to therapeutic interventions in heterogeneous tumours, often leading to a poor prognosis. In this Review, we highlight studies that demonstrate such interactions in cancer and postulate ways to overcome them with better-designed therapeutic strategies.

Indexed as

AnimalsCarcinogenesisCell ProliferationHumansModels, BiologicalNeoplasm MetastasisNeoplasms

Identifiers

PMID26156638

What OpenQuestion holds

Textmetadata
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.