Evidence map›Paper›PMID 42266109›Full record

ArticleHistopathology2026

Pathological assessment of tumour beds in breast excisions post-neoadjuvant therapy: a retrospective cohort study.

Angela Cheng, Penelope Barnes, Daniel Rayson, Christopher Liwski, Gillian Bethune

Abstract read
In one paragraph

Article in Histopathology, 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
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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

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

5 authors.

Angela ChengDepartment of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-4386-148X
Penelope BarnesDepartment of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-2346-7186
Daniel RaysonDivision of Medical Oncology, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-2438-3128
Christopher LiwskiDepartment of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0009-0005-9399-3199
Gillian BethuneDepartment of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0001-9147-759X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe pathological assessment of breast cancer resection specimens with neoadjuvant therapy (NAT) offers invaluable information for prognosis and further management. At times, these cases are difficult to pathologically evaluate, at least partly due to tumour bed obscuration after NAT. This study aimed to compare time and resource utilization by surgical pathology laboratories when handling breast specimens treated with NAT against those without NAT. We secondarily aimed to identify features associated with tumour bed identifiability at gross assessment. METHODS AND

resultsIn this retrospective, single-institution study, we identified 241 breast resection specimens with systemic NAT between 2019 and 2025. A 1:1 non-NAT control group was randomly selected. The NAT cohort had a higher median number of tissue blocks (20.0 versus 13.0, P < 0.001), as well as larger proportions requiring gross resampling (23.7% versus 7.1%, P < 0.001) and pathologist review (16.2% versus 4.6%, P < 0.001) compared with the control. The NAT cohort had a longer median pathology report turnaround time (17.0 days versus 15.0 days, P < 0.001). In NAT cases, pretreatment clinical stage was associated with macroscopic identifiability of the tumour bed.

conclusionsBreast cancer resection specimens with NAT required significantly more time and laboratory resources than similar specimens without NAT. As NAT becomes more frequent across breast and other cancer types, pathological assessment of the excisional specimens from these patients is expected to become more challenging and time-consuming. By recognizing these trends early, healthcare systems can plan and allocate resources accordingly.

Indexed as

Breast NeoplasmsAdultAgedFemaleHumansMiddle AgedNeoadjuvant TherapyRetrospective Studiesbreast cancerchemotherapyimmunotherapylaboratoryneoadjuvant therapypathology

Identifiers

PMID42266109
PMCPMC13551208

What OpenQuestion holds

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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.