Evidence map›Paper›PMID 41902859›Full record

ArticleArchives of gynecology and obstetrics2026

Tumor biology, treatment patterns, and recurrence in breast cancer patients aged 70-79 vs ≥ 80 years: a large-scale registry analysis.

F Ganster, S Schrodi, M Braun, Ch Seifert, S Mahner, T Kolben, R Wuerstlein, N Harbeck, S Beyer, M Burgmann

Abstract readComparative Study
In one paragraph

Article in Archives of gynecology and obstetrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

F GansterBreast Center, Department of Gynecology and Obstetrics and Comprehensive Cancer Center Munich LMU, Bavarian Cancer Research Center (BZKF), LMU University Hospital, Marchioninistr. 15, 81377, Munich, Germany.
S SchrodiBavarian Cancer Registry, Bavarian Health and Food Safety Authority (LGL), Munich, Germany.
M BraunBreast Center, Department of Gynecology, Red Cross Hospital, Munich, Germany.
Ch SeifertBreast Center, Department of Gynecology and Obstetrics and Comprehensive Cancer Center Munich LMU, Bavarian Cancer Research Center (BZKF), LMU University Hospital, Marchioninistr. 15, 81377, Munich, Germany.
S MahnerBreast Center, Department of Gynecology and Obstetrics and Comprehensive Cancer Center Munich LMU, Bavarian Cancer Research Center (BZKF), LMU University Hospital, Marchioninistr. 15, 81377, Munich, Germany.
T KolbenBreast Center, Department of Gynecology and Obstetrics and Comprehensive Cancer Center Munich LMU, Bavarian Cancer Research Center (BZKF), LMU University Hospital, Marchioninistr. 15, 81377, Munich, Germany.
R WuerstleinBreast Center, Department of Gynecology and Obstetrics and Comprehensive Cancer Center Munich LMU, Bavarian Cancer Research Center (BZKF), LMU University Hospital, Marchioninistr. 15, 81377, Munich, Germany.
N HarbeckBreast Center, Department of Gynecology and Obstetrics and Comprehensive Cancer Center Munich LMU, Bavarian Cancer Research Center (BZKF), LMU University Hospital, Marchioninistr. 15, 81377, Munich, Germany.
S Beyer *Breast Center, Department of Gynecology and Obstetrics and Comprehensive Cancer Center Munich LMU, Bavarian Cancer Research Center (BZKF), LMU University Hospital, Marchioninistr. 15, 81377, Munich, Germany.
M Burgmann *Breast Center, Department of Gynecology and Obstetrics and Comprehensive Cancer Center Munich LMU, Bavarian Cancer Research Center (BZKF), LMU University Hospital, Marchioninistr. 15, 81377, Munich, Germany. maximiliane.burgmann@med.uni-muenchen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWith increasing life expectancy, breast cancer (BC) in elderly women is rising, yet patients over 80 remain underrepresented in clinical trials. Understanding differences in the age groups is essential to avoid over- and undertreatment. This analysis investigates age-specific tumor characteristics, treatment patterns and outcomes in women aged 70-79 versus ≥ 80 years.

methodsThis population-based analysis included BC patients treated at LMU Breast Center and Munich Red Cross Hospital between 2004 and 2015. Clinical data of 2699 women aged 70-79 and those ≥ 80 were compared to assess differences in tumor biology, treatment approaches and time to metastasis.

resultsBreast-conserving surgery rates remained stable over time, while sentinel lymph node biopsy use increased in both age groups. Patients aged ≥ 80 more frequently presented with larger tumors, underwent mastectomy, and received less systemic or axillary treatment, despite similarly high hormone-receptor positivity. Chemotherapy use peaked in 2009 and declined thereafter, whereas endocrine therapy (ET) increased steadily. Patients ≥ 80 received chemotherapy less often and more frequently ET alone. Across all biological subtypes, patients ≥ 80 were associated with higher rates of distant metastasis compared with those aged 70-79 years.

conclusionClinical and biological differences between women aged 70-79 and those ≥ 80 underscore the need for age-adapted, individualized BC management. Treatment decisions should carefully balance expected benefit against comorbidity burden and functional status. Refining age-specific treatment strategies may help to improve outcomes and quality of life, although this analysis cannot determine the effects of specific strategies in this growing patient population.

Indexed as

Breast NeoplasmsNeoplasm Recurrence, LocalAgedAged, 80 and overAge FactorsFemaleGermanyHumansMastectomyMastectomy, SegmentalRegistriesSentinel Lymph Node BiopsyBreast cancerElderly patientsSurvivalTime trendTumor biology

Identifiers

PMID41902859
PMCPMC13032979

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.