Evidence mapPaperPMID 41693006Full record

ArticleThe oncologist2026

Metastatic breast cancer outcome in a real-world setting: analysis for long-term survival and curability in a prospective dataset.

Arlene Chan, Mengdie Zhou, Mridula Arun, Amanda Goddard, HuiJun Chih

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

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0citing papers in PubMed
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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Arlene ChanCurtin University, Perth, WA 6102, Australia.ORCID 0000-0003-2135-2286
Mengdie ZhouJoondalup Health Campus, Ramsay Health Care, WA 6027, Australia.
Mridula ArunRoyal Perth Hospital, Perth, WA 6000, Australia.
Amanda GoddardBreast Cancer Research Centre-WA, WA 6009, Australia.
HuiJun ChihSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, WA 6102, Australia.

Funding

Cancer Council Western Australia Career Achievement
6 · The paper itself

Abstract

backgroundTreatment advances in metastatic breast cancer (MBC) have led to prolongation in overall survival (OS), nevertheless MBC is considered an incurable disease. Real-world data provides an opportunity to assess outcomes in an unselected patient population receiving standard-of-care therapy and assess for potential curability.

methodPatient, tumor and treatment characteristics collected prospectively were analyzed. Univariate and multivariate analyses were performed for characteristics associated with OS ≥10-years. Time-to-next treatment (TTNT) and OS were compared to published clinical trials with significant survival benefits. Patients were deemed long-term survivors (LTS) if OS ≥5 or 10 years (TN or non-TN disease, respectively). Overall survival surpassing results in the recent ESME cohort analysis were deemed long-term responders (LTR). A stringent definition was used to define potentially cured patients.

resultsMetastatic breast cancer patients (n = 920) diagnosed between February 1999 and January 2021 were included. Overall survival ≥10 years was significantly more likely in those with de novo MBC, one anatomical metastatic site throughout the illness, HER2-positive disease, ≤3 metastatic sites at diagnosis, pathological concordance between primary/metastatic tissue and clinical trial participation (all P < .001). Efficacy of first-line chemotherapy (n = 452) or endocrine therapy (n = 272) demonstrated similar or longer TTNT and/or OS compared to published results for most regimens evaluated. LTS or LTR were seen in 16% of patients, with 8.7% potentially cured.

conclusionsEffective clinical trial outcomes can be achieved in a real-world setting. Overall survival ≥10-years and durable responses, with potential cure is possible. Real-world data provides valuable long-term outcome information and optimism for MBC patients.

Indexed as

Breast NeoplasmsAdultAgedFemaleHumansMiddle AgedNeoplasm MetastasisProspective StudiesTreatment Outcomeevidence-based treatment efficacylong-term follow-uppotential cureprospective data collectionreal-world data

Identifiers

PMID41693006
PMCPMC12990307

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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 Socratic graph.