Evidence map›Paper›PMID 37996402›Full record

ArticleNature communications2023

Evaluation of circulating plasma proteins in breast cancer using Mendelian randomisation.

Anders Mälarstig, Felix Grassmann, Leo Dahl, Marios Dimitriou, Dianna McLeod, Marike Gabrielson, Karl Smith-Byrne, Cecilia E Thomas, Tzu-Hsuan Huang, Simon K G Forsberg and 9 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
15.0field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 46 citations in OpenAlex.

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  19. The plasma proteome and breast cancer risk.Breast cancer research : BCR · 2025
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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

19 authors at 7 institutions in 4 countries.

Anders MälarstigDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. anders.malarstig@ki.se.ORCID 0000-0003-2608-1358
Felix GrassmannDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Leo DahlScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Solna, Sweden.ORCID 0000-0003-1492-3052
Marios DimitriouDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8362-2099
Dianna McLeodDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Marike GabrielsonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Karl Smith-ByrneCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Cecilia E ThomasScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Solna, Sweden.ORCID 0000-0001-6201-6380
Tzu-Hsuan HuangCancer Immunology Discovery, Pfizer Inc., San Diego, California, USA.ORCID 0000-0003-0650-582X
Simon K G ForsbergOlink Proteomics AB, Uppsala, Sweden.ORCID 0000-0002-7451-9222
Per ErikssonOlink Proteomics AB, Uppsala, Sweden.ORCID 0000-0001-7633-403X
Mikael UlfstedtOlink Proteomics AB, Uppsala, Sweden.
Mattias JohanssonGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Aleksandr V SokolovDepartment of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden.
Helgi B SchiöthDepartment of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Jochen M SchwenkScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Solna, Sweden.ORCID 0000-0001-8141-8449
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Åsa K HedmanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-5413-204X
Karolinska Institutet · SEOlink Bioscience (Sweden) · SEScience for Life Laboratory · SEPfizer (United States) · USUppsala University · SECentre international de recherche sur le cancer · FRUniversity of Oxford · GB

Funding

Cancer Research UK 29017World Health Organization 001
6 · The paper itself

Abstract

Biomarkers for early detection of breast cancer may complement population screening approaches to enable earlier and more precise treatment. The blood proteome is an important source for biomarker discovery but so far, few proteins have been identified with breast cancer risk. Here, we measure 2929 unique proteins in plasma from 598 women selected from the Karolinska Mammography Project to explore the association between protein levels, clinical characteristics, and gene variants, and to identify proteins with a causal role in breast cancer. We present 812 cis-acting protein quantitative trait loci for 737 proteins which are used as instruments in Mendelian randomisation analyses of breast cancer risk. Of those, we present five proteins (CD160, DNPH1, LAYN, LRRC37A2 and TLR1) that show a potential causal role in breast cancer risk with confirmatory results in independent cohorts. Our study suggests that these proteins should be further explored as biomarkers and potential drug targets in breast cancer.

Indexed as

Breast NeoplasmsBiomarkersBlood ProteinsFemaleGenome-Wide Association StudyHumansLectins, C-TypeMammographyMendelian Randomization AnalysisPhenotypePolymorphism, Single NucleotideBiomarkersBlood ProteinsLAYN protein, humanLectins, C-Type

Identifiers

PMID37996402
PMCPMC10667261
OpenAlexW4388976017

What Socratic 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 Socratic graph.