Evidence map›Paper›PMID 30617775›Full record

ArticleCancer causes & control : CCC2019

Differences in race, molecular and tumor characteristics among women diagnosed with invasive ductal and lobular breast carcinomas.

Lindsay A Williams, Katherine A Hoadley, Hazel B Nichols, Joseph Geradts, Charles M Perou, Michael I Love, Andrew F Olshan, Melissa A Troester

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Review
  10. Big Data for Geriatric Oncology Research.North Carolina medical journal · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Invasive lobular carcinoma: clinicopathological features and subtypes.The Journal of international medical research · 2021
    Article
  16. 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

8 authors.

Lindsay A WilliamsDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC, 27599, USA.
Katherine A HoadleyLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Hazel B NicholsDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC, 27599, USA.
Joseph GeradtsDepartment of Population Sciences, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Charles M PerouDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Michael I LoveDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Andrew F OlshanDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC, 27599, USA.
Melissa A TroesterDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC, 27599, USA. troester@unc.edu.

Funding

Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHARLES M PEROU · 1992 to 2026
$59.3M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
Targeting the MEKK2-ERK5 Signaling Node in Triple Negative Breast CancerU54CA156733 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LINNAN, LAURA A · 2010 to 2020
$9.7M
Credentialing Mouse Models for Immune System Therapy ResearchR01CA195740 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEROU, CHARLES M, WONG, KWOK KIN · 2015 to 2017
$1.8M
Biology of Race and Progression Associated Breast Tumor Gene ExpressionU01CA179715 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEROU, CHARLES M, TROESTER, MELISSA A. · 2014 to 2018
$1.6M
Multi-tissue and network models for next-generation EQTL studiesR01HG009125 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NOBEL, ANDREW B, WRIGHT, FRED A. · 2016 to 2018
$1.1M
National Institutes of Health P01 CA142538National Institutes of Health P30 ES010126National Institutes of Health P50 CA058223National Institutes of Health R01 CA19575401National Institutes of Health R01 HG009125National Institutes of Health U01 CA179715National Institutes of Health U54 CA156733NCI NIH HHS P01 CA142538NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA195740NCI NIH HHS U01 CA179715NCI NIH HHS U54 CA156733NHGRI NIH HHS R01 HG009125NIEHS NIH HHS P30 ES010126Susan G. Komen CCR16376756
6 · The paper itself

Abstract

backgroundThe dominant invasive breast cancer histologic subtype, ductal carcinoma, shows intrinsic subtype diversity. However, lobular breast cancers are predominantly Luminal A. Both histologic subtypes show distinct relationships with patient and tumor characteristics, but it is unclear if these associations remain after accounting for intrinsic subtype.

methodsGeneralized linear models were used to estimate relative frequency differences (RFDs) and 95% confidence intervals (95% CIs) for the associations between age, race, tumor characteristics, immunohistochemistry (IHC) and RNA-based intrinsic subtype, TP53 status, and histologic subtype in the Carolina Breast Cancer Study (CBCS, n = 3,182) and The Cancer Genome Atlas (TCGA, n = 808).

resultsRelative to ductal tumors, lobular tumors were significantly more likely to be Luminal A [CBCS RNA RFD: 44.9%, 95% CI (39.6, 50.1); TCGA: RFD: 50.5%, 95% CI (43.9, 57.1)], were less frequent among young (≤ 50 years) and black women, were larger in size, low grade, less frequently had TP53 pathway defects, and were diagnosed at later stages. These associations persisted among Luminal A tumors (n = 242).

conclusionsWhile histology is strongly associated with molecular characteristics, histologic associations with age, race, size, grade, and stage persisted after restricting to Luminal A subtype. Histology may continue to be clinically relevant among Luminal A breast cancers.

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularFemaleHumansImmunohistochemistryMiddle AgedRacial GroupsBreast cancerHistologic subtypeIntrinsic subtype

Identifiers

PMID30617775
PMCPMC6396692

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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.