Evidence map›Paper›PMID 29279606›Full record

ReviewNature reviews. Genetics2018

Nuclear receptors in cancer - uncovering new and evolving roles through genomic analysis.

Vineet K Dhiman, Michael J Bolt, Kevin P White

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

63 citing papers in PubMed, 110 citations in OpenAlex.

  1. Review
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  14. Identification of prognosis-related key genes in hepatocellular carcinoma based on bioinformatics analysis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
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3 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

3 authors at 2 institutions in 1 country.

Vineet K DhimanInstitute for Genomics and Systems Biology, Institute for Molecular Engineering, and Departments of Human Genetics and Medicine, University of Chicago, Chicago, Illinois 60637, USA.
Michael J BoltInstitute for Genomics and Systems Biology, Institute for Molecular Engineering, and Departments of Human Genetics and Medicine, University of Chicago, Chicago, Illinois 60637, USA.
Kevin P WhiteInstitute for Genomics and Systems Biology, Institute for Molecular Engineering, and Departments of Human Genetics and Medicine, University of Chicago, Chicago, Illinois 60637, USA.
University of Chicago · USTempus Labs (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear receptors (NRs) have historically been at the forefront of cancer research, where they are known to act as critical regulators of disease. They also serve as biomarkers for tumour subclassification and targets for hormone therapy. However, most tumour types express extensive repertoires of NRs, whose interactions provide multiple paths for disease progression and offer potentially untapped mechanisms for therapeutic interventions. Recently, next-generation sequencing technologies have provided genome-wide insights into the complex interplay of NR transcriptional networks and their contribution to the development and progression of cancer. These findings have altered the traditional understanding of NR activities in oncogenesis.

Indexed as

Gene Regulatory NetworksNeoplasm ProteinsNeoplasmsReceptors, Cytoplasmic and NuclearTranscription, GeneticAnimalsGenome-Wide Association StudyGenomicsHigh-Throughput Nucleotide SequencingHumansSignal TransductionNeoplasm ProteinsReceptors, Cytoplasmic and Nuclear

Identifiers

PMID29279606
OpenAlexW2775965753

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.