Evidence map›Paper›PMID 32859560›Full record

ArticleJournal of geriatric oncology2021

The prevalence of luminal B subtype is higher in older postmenopausal women with ER+/HER2- breast cancer and is associated with inferior outcomes.

Matthew Mills, Casey Liveringhouse, Frank Lee, Ronica H Nanda, Kamran A Ahmed, Iman R Washington, Ram Thapa, Brooke L Fridley, Peter Blumencranz, Martine Extermann and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of geriatric oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

13 authors at 3 institutions in 1 country.

Matthew MillsDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, United States of America.
Casey LiveringhouseDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, United States of America.
Frank LeeUniversity of South Florida Morsani College of Medicine, Tampa, FL, United States of America.
Ronica H NandaDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, United States of America.
Kamran A AhmedDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, United States of America.
Iman R WashingtonDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, United States of America.
Ram ThapaDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, United States of America.
Brooke L FridleyDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, United States of America.
Peter BlumencranzDepartment of Surgery, Morton Plant Hospital, Clearwater, FL, United States of America.
Martine ExtermannDepartment of Senior Adult Oncology, Moffitt Cancer Center, Tampa, FL, United States of America.
Loretta LoftusDepartment of Breast Oncology, Moffitt Cancer Center, Tampa, FL, United States of America.
Lodovico BalducciDepartment of Senior Adult Oncology, Moffitt Cancer Center, Tampa, FL, United States of America.
Roberto DiazDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, United States of America. Electronic address: Roberto.Diaz@moffitt.org.
Moffitt Cancer Center · USMorton Plant Hospital · USUniversity of South Florida · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

objectivesTo establish whether clinicopathologic and genomic characteristics may explain the poor prognosis associated with advanced age in ER+/HER2- breast cancer. MATERIALS AND

methodsThe cohort included 271 consecutive post-menopausal patients with ER+/HER2- invasive breast cancer ages 55 years and older. Patients were categorized as "younger" (ages 55- < 75) and "older" (ages ≥75). The Kaplan-Meier method was used to estimate locoregional recurrence (LRR), recurrence-free interval (RFi), and overall survival (OS). Gene expression of tumor samples was assessed with Affymetrix Rosetta/Merck Human RSTA microarray platform. Differential gene expression analysis of tumor samples was performed using R package Limma.

results271 breast cancer patients were identified, including 186 younger and 85 older patients. Older patients had higher rates of Luminal B subtype (53% vs 34%) and lower rates of Luminal A subtype (42% vs 58%, p = 0.02). Older patients were less likely to receive chemotherapy (9% vs 40%, p < 0.001) and hormone therapy (71% vs 89%, p < 0.001). For cases of grade 1-2 disease, older patients had a higher proportion of the luminal B subtype (49% vs. 30%, p = 0.014). Age ≥ 75 predicted for inferior OS (HR = 3.06, p < 0.001). The luminal B subtype predicted for inferior OS (HR = 2.12, p = 0.014), RFi (HR 5.02, p < 0.001), and LRR (HR = 3.12, p = 0.045). There were no significant differences in individual gene expression between the two groups.

conclusionWomen with ER+/HER2- breast cancer ≥75 years old had higher rates of the more aggressive luminal B subtype and inferior outcomes. Genomic testing of these patients should be strongly considered, and treatment should be intensified when appropriate.

Indexed as

Breast NeoplasmsAgedBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesFemaleHumansNeoplasm Recurrence, LocalNeoplasm StagingPostmenopausePrevalencePrognosisReceptors, EstrogenReceptors, ProgesteroneBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneBreast cancerElderlyGene expressionLuminal ALuminal BPAM50

Identifiers

PMID32859560
PMCPMC7907245
OpenAlexW2983394890

What OpenQuestion holds

Textmetadata
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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.