Evidence map›Paper›PMID 40593119›Full record

ArticleCommunications medicine2025

Germline genetic scores associated with cancer gene expression and immune responses across multiple cancer types.

Soojin Cha, Injeong Shim, Sang-Hyuk Jung, Beomsu Kim, Soyeon Kim, Mi-So Park, Hyunbin Cho, Yonghyun Nam, Woong-Yang Park, Dokyoon Kim and 1 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. 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
–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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Soojin ChaSamsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID http://orcid.org/0000-0003-1414-4817
Injeong ShimSamsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID http://orcid.org/0000-0002-1001-0945
Sang-Hyuk JungDepartment of Biostatistics, Epidemiology & Informatics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-4116-3327
Beomsu KimSamsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID http://orcid.org/0000-0001-7410-4273
Soyeon KimSamsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.
Mi-So ParkSamsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID http://orcid.org/0009-0000-9924-8409
Hyunbin ChoSamsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.
Yonghyun NamDepartment of Biostatistics, Epidemiology & Informatics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Dokyoon Kim *Department of Biostatistics, Epidemiology & Informatics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Dokyoon.Kim@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0002-4592-9564
Hong-Hee Won *Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea. wonhh@skku.edu.ORCID http://orcid.org/0000-0001-5719-0552

Funding

Korea Health Industry Development Institute (KHIDI) HI19C1328Korea Health Industry Development Institute (KHIDI) RS-2020-KH088686National Research Foundation of Korea (NRF) RS-2023-00223277
6 · The paper itself

Abstract

backgroundCancer is a polygenic disease that involves the dysregulation of multiple biological events, including aberrant cell proliferation and evasion of immune responses, which collectively contribute to cancer development and progression. Although the polygenic risk score (PRS) has enabled assessment of the effects of cancer risk loci, the potential impact of other genetic variants with functional relevance to cancer biology remains largely unexplored.

methodsWe conducted a large-scale analysis of UK Biobank data, including 61,249 cancer cases and 254,203 controls of European ancestry across 16 cancer types. We assessed the impact of germline variants relevant to cancer gene expression and 33 cancer immune responses by constructing genetic scores (eQS: eQTL-specific genetic score; IMS: immune response-specific genetic score) and examining the utility of these scores independently and in addition to cancer-specific PRSs, for each of the 16 cancer types using multivariable logistic regression models.

resultsHere, we show that seven associations are significant after the Bonferroni correction (eQS of MAP3K1 and IDH2 in breast cancer, eQS of PAX8 in cervical cancer, eQS of NRG1 in thyroid cancer, IMS26 in lung cancer, IMS16 in prostate cancer, and IMS8 in testicular cancer). The IMS for interferon responses and effector T cells show protective associations with lung, prostate, and testicular cancers. Combining these IMS with cancer PRS improves risk stratification for testicular and prostate cancers.

conclusionsOur study provides insights into functional genetic scores associated with cancers.

Identifiers

PMID40593119
PMCPMC12215933

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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.