Evidence map›Paper›PMID 34593797›Full record

Observational studyNature communications2021

Chromatin accessibility associates with protein-RNA correlation in human cancer.

Akshay Sanghi, Joshua J Gruber, Ahmed Metwally, Lihua Jiang, Warren Reynolds, John Sunwoo, Lisa Orloff, Howard Y Chang, Maya Kasowski, Michael P Snyder

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Transcriptomics and metabolomics reveal the protective effect of β-hydroxybutyrate on sepsis associated encephalopathy.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  3. Article
  4. RUNX2 cooperates with SREBP1 to rewire cancer metabolism and promote aggressiveness.Journal of experimental & clinical cancer research : CR · 2025
    Article
  5. Article
  6. Review
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  10. Article
  11. Article
  12. A review on trends in development and translation of omics signatures in cancer.Computational and structural biotechnology journal · 2024
    Review
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  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Multi-Omics Profiling for Health.Molecular & cellular proteomics : MCP · 2023
    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

10 authors at 3 institutions in 1 country.

Akshay SanghiDepartment of Genetics, Stanford University, Stanford, CA, USA.
Joshua J GruberDepartment of Genetics, Stanford University, Stanford, CA, USA.
Ahmed MetwallyDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0002-0155-7412
Lihua JiangDepartment of Genetics, Stanford University, Stanford, CA, USA.
Warren ReynoldsCenter for Personal Dynamic Regulomes and HHMI, Stanford University, Stanford, USA.
John SunwooDivision of Head and Neck Surgery, Department of Otolaryngology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-8393-4196
Lisa OrloffDivision of Head and Neck Surgery, Department of Otolaryngology, Stanford University School of Medicine, Stanford, CA, USA.
Howard Y ChangDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0002-9459-4393
Maya KasowskiDepartment of Genetics, Stanford University, Stanford, CA, USA.
Michael P SnyderDepartment of Genetics, Stanford University, Stanford, CA, USA. mpsnyder@stanford.edu.ORCID 0000-0003-0784-7987
Stanford University · USDynamic Systems (United States) · USStanford Medicine · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
PRODUCTION CENTER FOR MAPPING REGULATORY REGIONS OF THE HUMAN GENOMEUM1HG009442 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2017 to 2021
$20.1M
PreCancer Atlas of Familial Adenomatous PolyposisU2CCA233311 · NCI · STANFORD UNIVERSITY · PI FORD, JAMES M., SNYDER, MICHAEL P. · 2018 to 2023
$11.6M
Institutional Career Development Core (KL2)KL2TR003143 · NCATS · STANFORD UNIVERSITY · PI ASCH, STEVEN M. · 2019 to 2023
$8.7M
Metabolite sensing through the HAT1 acetyltransferase as an anti-cancer targetK08CA245024 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GRUBER, JOSHUA JAMES · 2020 to 2024
$820k
NCATS NIH HHS KL2 TR003143NCI NIH HHS K08 CA245024NCI NIH HHS P30 CA124435NCI NIH HHS U2C CA233311NHGRI NIH HHS UM1 HG009442
6 · The paper itself

Abstract

Although alterations in chromatin structure are known to exist in tumors, how these alterations relate to molecular phenotypes in cancer remains to be demonstrated. Multi-omics profiling of human tumors can provide insight into how alterations in chromatin structure are propagated through the pathway of gene expression to result in malignant protein expression. We applied multi-omics profiling of chromatin accessibility, RNA abundance, and protein abundance to 36 human thyroid cancer primary tumors, metastases, and patient-match normal tissue. Through quantification of chromatin accessibility associated with active transcription units and global protein expression, we identify a local chromatin structure that is highly correlated with coordinated RNA and protein expression. In particular, we identify enhancers located within gene-bodies as predictive of correlated RNA and protein expression, that is independent of overall transcriptional activity. To demonstrate the generalizability of these findings we also identify similar results in an independent cohort of human breast cancers. Taken together, these analyses suggest that local enhancers, rather than distal enhancers, are likely most predictive of cancer gene expression phenotypes. This allows for identification of potential targets for cancer therapeutic approaches and reinforces the utility of multi-omics profiling as a methodology to understand human disease.

Indexed as

Gene Expression Regulation, NeoplasticBreast NeoplasmsChromatinChromatin Immunoprecipitation SequencingCohort StudiesDatasets as TopicEnhancer Elements, GeneticEpigenesis, GeneticFemaleGene Regulatory NetworksHumansMalePromoter Regions, GeneticProteomicsRNARNA-SeqChromatinRNATranscription Factors

Identifiers

PMID34593797
PMCPMC8484618
OpenAlexW3202966107

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.