Evidence map›Paper›PMID 35914729›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2022

Loss of PTEN Expression, PIK3CA Mutations, and Breast Cancer Survival in the Nurses' Health Studies.

Tengteng Wang, Yujing J Heng, Gabrielle M Baker, Vanessa C Bret-Mounet, Liza M Quintana, Lisa Frueh, Susan E Hankinson, Michelle D Holmes, Wendy Y Chen, Walter C Willett and 3 more

Open access · greenAbstract 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, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

13 authors at 5 institutions in 1 country.

Tengteng WangChanning Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-9001-186X
Yujing J HengDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.ORCID 0000-0002-8930-817X
Gabrielle M BakerDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.ORCID 0000-0002-9213-0317
Vanessa C Bret-MounetDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.ORCID 0000-0003-3358-3479
Liza M QuintanaDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.ORCID 0000-0002-5043-7425
Lisa FruehChanning Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-2489-2467
Susan E HankinsonDepartment of Biostatistics and Epidemiology, University of Massachusetts School of Public Health and Health Sciences, Amherst, Massachusetts.ORCID 0000-0003-1252-0305
Michelle D HolmesChanning Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-8664-2172
Wendy Y ChenChanning Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-6946-1206
Walter C WillettDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0003-1458-7597
Bernard RosnerChanning Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-6907-0056
Rulla M Tamimi *Department of Population Health Sciences, Weill Cornell Medicine, New York, New York.ORCID 0000-0003-2306-8668
A Heather Eliassen *Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-3961-6609
Brigham and Women's Hospital · USBeth Israel Deaconess Medical Center · USCornell University · USHarvard University · USUniversity of Massachusetts Amherst · US

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI JENNIFER W MACK · 1985 to 2026
$330.6M
Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Risk Factors for Breast Cancer in Younger NursesR01CA050385 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 1989 to 2019
$32.3M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Training Program in Cancer EpidemiologyT32CA009001 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI A. Heather Eliassen, Meir Stampfer · 1985 to 2026
$17.3M
Endogenous hormones and postmenopausal breast cancer: Etiologic insights and improving risk predictionR01CA207369 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI HANKINSON, SUSAN E · 2017 to 2021
$4.5M
NCI NIH HHS P01 CA087969NCI NIH HHS P30 CA006516NCI NIH HHS R01 CA050385NCI NIH HHS R01 CA207369NCI NIH HHS T32 CA009001NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

backgroundThe relationships between PTEN loss and/or PIK3CA mutation and breast cancer prognosis remain controversial. We aim to examine the associations in large epidemiologic cohorts.

methodsWe followed women with invasive breast cancer from the Nurses' Health Studies with available data on tumor PTEN expression (n = 4,111) and PIK3CA mutation (n = 2,930). PTEN expression was evaluated by IHC and digitally scored (0%-100%). Pyrosequencing of six hotspot mutations of PIK3CA was performed.

resultsWe found loss of PTEN expression (≤10%) occurred in 17% of cases, and PIK3CA mutations were detected in 11% of cases. After adjusting for clinical and lifestyle factors, PTEN loss was not associated with worse breast cancer-specific mortality among all samples [HR, 0.85; 95% confidence intervals (CI), 0.71-1.03] or among estrogen receptor (ER)-positive tumors (HR, 0.99; 95% CI, 0.79-1.24). However, among ER-negative tumors, PTEN loss was associated with lower breast cancer-specific mortality (HR, 0.68; 95% CI, 0.48-0.95). PIK3CA mutation was not strongly associated with breast cancer-specific mortality (HR, 0.89; 95% CI, 0.67-1.17). Compared with tumors without PTEN loss and without PIK3CA mutation, those with alterations (n = 540) were not at higher risk (HR, 1.07; 95% CI, 0.86-1.34). However, women with both PTEN loss and PIK3CA mutation (n = 38) were at an increased risk of breast cancer-specific mortality (HR, 1.65; 95% CI, 0.83-3.26).

conclusionsIn this large epidemiologic study, the PTEN-mortality association was more pronounced for ER-negative tumors, and the joint PTEN loss and PIK3CA mutation may be associated with worse prognosis. IMPACT: Further studies with a larger sample of ER-negative tumors are needed to replicate our findings and elucidate underlying mechanisms.

Indexed as

Breast NeoplasmsNursesClass I Phosphatidylinositol 3-KinasesFemaleHumansPhosphatidylinositol 3-KinasesPTEN PhosphohydrolaseReceptors, EstrogenClass I Phosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesPIK3CA protein, humanPTEN PhosphohydrolasePTEN protein, humanReceptors, Estrogen

Identifiers

PMID35914729
PMCPMC9532372
OpenAlexW4289337639

What OpenQuestion holds

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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.