Evidence map›Paper›PMID 36745477›Full record

ArticleCancer research2023

Germline Cancer Gene Expression Quantitative Trait Loci Are Associated with Local and Global Tumor Mutations.

Yuxi Liu, Alexander Gusev, Peter Kraft

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Yuxi LiuDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0003-2484-151X
Alexander GusevDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-7980-4620
Peter KraftDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0002-4472-8103
Harvard University · USDana-Farber Cancer Institute · US

Funding

(PQ3) A functional genomic approach to identification and interpretation of germline-tumor genetic interactionsR01CA227237 · NCI · DANA-FARBER CANCER INST · PI GUSEV, ALEXANDER, ZAITLEN, NOAH A · 2018 to 2022
$3.5M
Characterizing non-coding somatic and germline variant interactions in ovarian cancerR01CA244569 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GAYTHER, SIMON ANDREW, GUSEV, ALEXANDER · 2020 to 2024
$3.3M
Common biology underlying pleiotropic breast, prostate and ovarian cancer risk lociR01CA259058 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI MATTHEW L FREEDMAN, Simon Andrew Gayther · 2022 to 2026
$2.5M
Prediagnostic exposures, germline genetics, and triple negative breast cancer mutational and immune profilesU01CA260352 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI TAMIMI, RULLA M · 2023 to 2025
$1.3M
Prediagnostic exposures, germline genetics, and triple negative breast cancer mutational and immune profilesR01CA260352 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KRAFT, PETER, TAMIMI, RULLA M · 2021 to 2022
$1.3M
NCI NIH HHS R01 CA227237NCI NIH HHS R01 CA244569NCI NIH HHS R01 CA259058NCI NIH HHS R01 CA260352NCI NIH HHS U01 CA260352
6 · The paper itself

Abstract

Somatic mutations drive cancer development and are relevant to patient responses to treatment. Emerging evidence shows that variations in the somatic genome can be influenced by the germline genetic background. However, the mechanisms underlying these germline-somatic associations remain largely obscure. We hypothesized that germline variants can influence somatic mutations in a nearby cancer gene ("local impact") or a set of recurrently mutated cancer genes across the genome ("global impact") through their regulatory effect on gene expression. To test this hypothesis, tumor targeted sequencing data from 12,413 patients across 11 cancer types in the Dana-Farber Profile cohort were integrated with germline cancer gene expression quantitative trait loci (eQTL) from the Genotype-Tissue Expression Project. Variants that upregulate ATM expression were associated with a decreased risk of somatic ATM mutations across 8 cancer types. GLI2, WRN, and CBFB eQTL were associated with global tumor mutational burden of cancer genes in ovarian cancer, glioma, and esophagogastric carcinoma, respectively. An EPHA5 eQTL was associated with mutations in cancer genes specific to colorectal cancer, and eQTL related to expression of APC, WRN, GLI1, FANCA, and TP53 were associated with mutations in genes specific to endometrial cancer. These findings provide evidence that germline-somatic associations are mediated through expression of specific cancer genes, opening new avenues for research on the underlying biological processes. SIGNIFICANCE: Analysis of associations between the germline genetic background and somatic mutations in patients with cancer suggests that germline variants can influence local and global tumor mutations by altering expression of cancer-related genes. See related commentary by Kar, p. 1165.

Indexed as

Ovarian NeoplasmsQuantitative Trait LociFemaleGene ExpressionGenetic Predisposition to DiseaseGerm-Line MutationHumansMutationOncogenes

Identifiers

PMID36745477
PMCPMC10106413
OpenAlexW4319293981

What Socratic holds

Textmetadata
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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 Socratic graph.