Evidence map›Paper›PMID 27784743›Full record

ArticleCancer research2017

Human Chorionic Gonadotropin Does Not Correlate with Risk for Maternal Breast Cancer: Results from the Finnish Maternity Cohort.

Renée T Fortner, Helena Schock, Rudolf Kaaks, Matti Lehtinen, Eero Pukkala, Hans-Åke Lakso, Minna Tanner, Raija Kallio, Heikki Joensuu, Jaana Korpela and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Human Chorionic Gonadotropin and Breast Cancer.International journal of molecular sciences · 2017
    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

17 authors at 5 institutions in 3 countries.

Renée T FortnerDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. r.fortner@dkfz.de.
Helena SchockDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Matti LehtinenSchool of Health Sciences, University of Tampere, Tampere, Finland.
Eero PukkalaSchool of Health Sciences, University of Tampere, Tampere, Finland.
Hans-Åke LaksoDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
Minna TannerDepartment of Oncology, Tampere University Hospital, Tampere, Finland.
Raija KallioDepartment of Oncology, Oulu University Hospital, Finland.
Heikki JoensuuDepartment of Oncology, Helsinki University Central Hospital, and University of Helsinki, Helsinki, Finland.
Jaana KorpelaDivision of Clinical Neurosciences, Turku University Hospital, University of Turku, Turku, Finland.
Adetunji T ToriolaDepartment of Surgery, Division of Public Health Sciences, and Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri.
Göran HallmansPublic Health and Clinical Medicine: Nutritional Research, Umeå University, Umeå, Sweden.
Kjell GrankvistDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
Anne Zeleniuch-JacquotteNew York University Cancer Institute, New York University School of Medicine, New York, New York.
Paolo TonioloDepartment of Obstetrics and Gynecology, New York University School of Medicine, New York, New York.
Eva LundinDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
Heljä-Marja SurcelDepartment of Health Protection, National Institute for Health and Welfare, Oulu, Finland.
Umeå University · SEHeidelberg University · DEGerman Cancer Research Center · DETampere University · FITampere University · FI

Funding

Pregnancy Hormones and Risk of Maternal Breast CancerR01CA114329 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TONIOLO, PAOLO G. · 2005 to 2008
$1.8M
NCI NIH HHS R01 CA114329
6 · The paper itself

Abstract

Human chorionic gonadotropin (hCG) is necessary for the maintenance of early pregnancy and promotes normal breast cell differentiation. Administered hCG reduces risk of carcinogen-induced breast cancer in animal models, and higher circulating hCG concentrations were associated with significantly lower long-term risk of breast cancer in a prior nested case-control study. In this study, we investigated early-pregnancy hCG concentrations and subsequent breast cancer risk. We conducted a nested case-control study with 1,191 cases and 2,257 controls (matched on age and date at blood collection) in the Finnish Maternity Cohort, a cohort with serum samples from 98% of pregnancies registered in Finland since 1983. This study included women with a serum sample collected early (<140 days gestation) in their first pregnancy resulting in a live, term birth. Breast cancer cases were identified via the Finnish Cancer Registry. Age at breast cancer diagnosis ranged from 22 to 58 years (mean: 41 years). hCG was measured using a solid-phase competitive chemiluminescence assay. Odds ratios (OR) were calculated using conditional logistic regression. We observed no association between hCG and breast cancer risk, overall [Quartile 4 vs. 1, OR, 1.14; 95% confidence interval (CI), 0.94-1.39], by estrogen and progesterone receptor status, or by ages at first-term birth or diagnosis. Associations did not differ by time between pregnancy and diagnosis (e.g., <5 years, OR

Indexed as

AdultBreast NeoplasmsCase-Control StudiesChorionic GonadotropinCohort StudiesFemaleFinlandHumansLuminescent MeasurementsMiddle AgedOdds RatioPregnancyRisk FactorsYoung AdultChorionic Gonadotropin

Identifiers

PMID27784743
PMCPMC5270509
OpenAlexW2545212748

What OpenQuestion holds

Textmetadata
LicenceTDM
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.