Evidence map›Paper›PMID 27070699›Full record

ReviewCancer cell2016

Intratumoral Heterogeneity of the Epigenome.

Tali Mazor, Aleksandr Pankov, Jun S Song, Joseph F Costello

Abstract readReview
In one paragraph

Review in Cancer cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers.

0numbers the graph read from it
0cells of the map it votes in
131citing 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

131 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. The RNA NCell death & disease · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. The Cancer Genome in the Long Reads Era.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  15. The RNA NResearch square · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

71 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

4 authors.

Tali Mazor *Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94158, USA.
Aleksandr Pankov *Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94158, USA.
Jun S SongDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158, USA.
Joseph F CostelloDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA 94158, USA.

Funding

Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2002 to 2026
$57.4M
Project 4: Multi-modality Metabolic Imaging for Monitoring Molecular Sub-types of GliomaP01CA118816 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Pavithra Viswanath · 2007 to 2026
$44.7M
BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
PREDOCTORAL TRAINING IN BIOMEDICAL SCIENCEST32GM008568 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANSEL, KARL MARK · 1995 to 2019
$6.3M
Predicting Transcriptional and Epigenetic Networks in Cancer from Sequencing DataR01CA163336 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Jun S Song · 2012 to 2026
$4.4M
Imaging Guided Genomics of Malignant TransformationR01CA169316 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COSTELLO, JOSEPH F · 2013 to 2017
$3.0M
NCI NIH HHS P01 CA118816NCI NIH HHS P50 CA097257NCI NIH HHS P50CA097257NCI NIH HHS R01 CA163336NCI NIH HHS R01CA163336NCI NIH HHS R01 CA169316NCI NIH HHS R01CA169316NIGMS NIH HHS T32 GM008568NIGMS NIH HHS T32 GM067547
6 · The paper itself

Abstract

Investigation into intratumoral heterogeneity (ITH) of the epigenome is in a formative stage. The patterns of tumor evolution inferred from epigenetic ITH and genetic ITH are remarkably similar, suggesting widespread co-dependency of these disparate mechanisms. The biological and clinical relevance of epigenetic ITH are becoming more apparent. Rare tumor cells with unique and reversible epigenetic states may drive drug resistance, and the degree of epigenetic ITH at diagnosis may predict patient outcome. This perspective presents these current concepts and clinical implications of epigenetic ITH, and the experimental and computational techniques at the forefront of ITH exploration.

Indexed as

Epigenesis, GeneticEpigenomicsGene Expression Regulation, NeoplasticGenetic HeterogeneityCell Transformation, NeoplasticCpG IslandsDisease ProgressionDNA MethylationDNA, NeoplasmForecastingHumansMutationNeoplasmsNeoplastic Stem CellsPromoter Regions, GeneticDNA, Neoplasm

Identifiers

PMID27070699
PMCPMC4852161

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.