Evidence map›Paper›PMID 37474751›Full record

ArticleHuman genetics2023

Investigating the tissue specificity and prognostic impact of cis-regulatory cancer risk variants.

Ajay Subramanian, Shengqin Su, Everett J Moding, Michael Sargent Binkley

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Ajay SubramanianDepartment of Radiation Oncology, Stanford Cancer Institute and Stanford University School of Medicine, Stanford, CA, USA.
Shengqin SuDepartment of Radiation Oncology, Stanford Cancer Institute and Stanford University School of Medicine, Stanford, CA, USA.
Everett J ModingDepartment of Radiation Oncology, Stanford Cancer Institute and Stanford University School of Medicine, Stanford, CA, USA.
Michael Sargent BinkleyDepartment of Radiation Oncology, Stanford Cancer Institute and Stanford University School of Medicine, Stanford, CA, USA. msb996@stanford.edu.ORCID http://orcid.org/0000-0002-2640-5255
Stanford University · USStanford Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tissue-specific incidence of cancers and their genetic basis are poorly understood. Although prior studies have shown global correlation across tissues for cancer risk single-nucleotide polymorphisms (SNPs) identified through genome-wide association studies (GWAS), any shared functional regulation of gene expression on a per SNP basis has not been well characterized. We set to quantify cis-mediated gene regulation and tissue sharing for SNPs associated with eight common cancers. We identify significant tissue sharing for individual SNPs and global enrichment for breast, colorectal, and Hodgkin lymphoma cancer risk SNPs in multiple tissues. In addition, we observe increasing tissue sharing for cancer risk SNPs overlapping with super-enhancers for breast cancer and Hodgkin lymphoma providing further evidence of tissue specificity. Finally, for genes under cis-regulation by breast cancer SNPs, we identify a phenotype characterized by low expression of tumor suppressors and negative regulators of the WNT pathway associated with worse freedom from progression and overall survival in patients who eventually develop breast cancer. Our results introduce a paradigm for functionally annotating individual cancer risk SNPs and will inform the design of future translational studies aimed to personalize assessment of inherited cancer risk across tissues.

Indexed as

Genome-Wide Association StudyHodgkin DiseaseGenetic Predisposition to DiseaseHumansOrgan SpecificityPolymorphism, Single NucleotidePrognosis

Identifiers

PMID37474751
OpenAlexW4384924826

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.