Evidence map›Paper›PMID 34599005›Full record

ArticleGenome research2021

Cancer cell states and emergent properties of the dynamic tumor system.

Dalia Barkley, Anjali Rao, Maayan Pour, Gustavo S França, Itai Yanai

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Tumors and their microenvironments: Learning from pediatric brain pathologies.Biochimica et biophysica acta. Reviews on cancer · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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.

Dalia Barkley *Institute for Computational Medicine, NYU Langone Health, New York, New York 10016, USA.
Anjali Rao *Institute for Computational Medicine, NYU Langone Health, New York, New York 10016, USA.
Maayan Pour *Institute for Computational Medicine, NYU Langone Health, New York, New York 10016, USA.
Gustavo S França *Institute for Computational Medicine, NYU Langone Health, New York, New York 10016, USA.
Itai YanaiInstitute for Computational Medicine, NYU Langone Health, New York, New York 10016, USA.
Institute for Family Health · US

Funding

Computational approaches for the systematic detection of cell-cell interactions by spatial transcriptomics - Resubmission - 1R01LM013522 · NLM · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI YANAI, ITAI · 2021 to 2024
$1.4M
Inferring cell state tumor microenvironment maps by integrating single-cell and spatial transcriptomicsR21CA264361 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI YANAI, ITAI · 2021 to 2022
$516k
Cancer cell state interactions with immune populations of the tumor microenvironmentF30CA257400 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BARKLEY, DALIA · 2021 to 2023
$135k
NCI NIH HHS F30 CA257400NCI NIH HHS R21 CA264361NLM NIH HHS R01 LM013522
6 · The paper itself

Abstract

Phenotypic heterogeneity within malignant cells of a tumor is emerging as a key property of tumorigenesis. Recent work using single-cell transcriptomics has led to the identification of distinct cancer cell states across a range of cancer types, but their functional relevance and the advantage that they provide to the tumor as a system remain elusive. We present here a definition of cancer cell states in terms of coherently and differentially expressed gene modules and review the origins, dynamics, and impact of states on the tumor system as a whole. The spectrum of cell states taken on by a malignant population may depend on cellular lineage, epigenetic history, genetic mutations, or environmental cues, which has implications for the relative stability or plasticity of individual states. Finally, evidence has emerged that malignant cells in different states may cooperate or compete within a tumor niche, thereby providing an evolutionary advantage to the tumor through increased immune evasion, drug resistance, or invasiveness. Uncovering the mechanisms that govern the origin and dynamics of cancer cell states in tumorigenesis may shed light on how heterogeneity contributes to tumor fitness and highlight vulnerabilities that can be exploited for therapy.

Indexed as

NeoplasmsBiological EvolutionCarcinogenesisCell Transformation, NeoplasticHumansMutation

Identifiers

PMID34599005
PMCPMC8494223
OpenAlexW3202042849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.