Evidence map›Paper›PMID 26545404›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2016

Association of Parity and Time since Last Birth with Breast Cancer Prognosis by Intrinsic Subtype.

Xuezheng Sun, Hazel B Nichols, Chiu-Kit Tse, Mary B Bell, Whitney R Robinson, Mark E Sherman, Andrew F Olshan, Melissa A Troester

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Overall survival is the lowest among young women with postpartum breast cancer.European journal of cancer (Oxford, England : 1990) · 2022
    Article
  6. Molecular and Clinical Characterization of Postpartum-Associated Breast Cancer in the Carolina Breast Cancer Study Phase I-III, 1993-2013.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  7. Article
  8. Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association Consortium.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  9. Proteomics and its applications in breast cancer.American journal of cancer research · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. 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

8 authors.

Xuezheng SunDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Hazel B NicholsDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Chiu-Kit TseDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Mary B BellLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Whitney R RobinsonDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Mark E ShermanHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland. Breast and Gynecologic Cancer Research Group, Division of Cancer Prevention, NCI, Bethesda, Maryland.
Andrew F OlshanDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Melissa A TroesterDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. troester@unc.edu.

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Pregnancy, Obesogenic Environments, and Basal-like Breast CancerU01ES019472 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROESTER, MELISSA A. · 2010 to 2014
$2.3M
Racial disparities in cancer outcomes: quantifying modifiable mechanismsK01CA172717 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBINSON, WHITNEY RAGAN · 2012 to 2016
$639k
NCI NIH HHS K01 CA172717NCI NIH HHS K01CA172717NCI NIH HHS P30 CA016086NCI NIH HHS P50 CA058223NCI NIH HHS P50CA058223NICHD NIH HHS P2C HD050924NIEHS NIH HHS U01 ES019472NIEHS NIH HHS U01-ES019472
6 · The paper itself

Abstract

backgroundParity and time since last birth influence breast cancer risk and vary by intrinsic tumor subtype, but the independent effects of these factors on prognosis have received limited attention.

methodsStudy participants were 1,140 invasive breast cancer patients from phases I and II of the population-based Carolina Breast Cancer Study, with tissue blocks available for subtyping using immunohistochemical markers. Breast cancer risk factors, including pregnancy history, were collected via in-person interviews administered shortly after diagnosis. Vital status was determined using the National Death Index. The association of parity and birth recency with breast cancer-specific and overall survival was assessed using Cox proportional hazards models.

resultsDuring follow-up (median = 13.5 years), 450 patients died, 61% due to breast cancer (n = 276). High parity (3+ births) and recent birth (<5 years before diagnosis) were positively associated with breast cancer-specific mortality, independent of age, race, and selected socioeconomic factors [parity, reference = nulliparous, adjusted HR = 1.76; 95% confidence interval (CI) = 1.13-2.73; birth recency, reference = 10+ years, adjusted HR = 1.29; 95% CI, 0.79-2.11]. The associations were stronger among patients with luminal tumors and those surviving longer than 5 years.

conclusionsParity and recent birth are associated with worse survival among breast cancer patients, particularly among luminal breast cancers and long-term survivors. IMPACT: The biologic effects of parity and birth recency may extend from etiology to tumor promotion and progression.

Indexed as

ParityReproductive HistoryAdultAgedAge FactorsBiomarkers, TumorBreast NeoplasmsCase-Control StudiesCombined Modality TherapyErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesHumansImmunoenzyme TechniquesMiddle AgedNeoplasm StagingBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID26545404
PMCPMC4727837

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Registered trials

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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.