Evidence map›Paper›PMID 42135608›Full record

ArticleThe oncologist2026

Ki-67 as a treatment decision modifier in breast cancer.

Amanda Dy, Jochen K Lennerz

Abstract read
In one paragraph

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.

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

2 authors.

Amanda DyElectrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada.ORCID 0000-0002-7668-9356
Jochen K LennerzPathology Innovations, Natera, Austin, TX 78753, United States.ORCID 0000-0003-2434-4978

Funding

Natural Sciences and Engineering Research Council of Canada (NSERC) Vanier Canada Graduate Scholarship 198875
6 · The paper itself

Abstract

Ki-67 is widely used in breast cancer; however, the fraction of patients in whom it meaningfully alters treatment decisions is not well established. Using a guideline-based approach anchored in National Comprehensive Cancer Network (NCCN) recommendations (v2.2026), we identified clinical scenarios in which Ki-67 directly modifies adjuvant therapy decisions and estimated their prevalence using population-level data and complementary datasets, recognizing that fully annotated datasets capturing all relevant clinicopathological variables remain limited. A back-of-the-envelope calculation suggests that only a small fraction of patients meet the combined criteria of HR+/HER2- subtype, T2 stage, grade 2 histology, and Ki-67 ≥ 20%. This estimate, compared to population-scale (n = 117 990 patients) and curated datasets (n = 1356 patients), indicates that the clinically relevant subset remains in the low single digits (3-5%). Ki-67 impacts care only in specific decision settings, particularly near clinically relevant thresholds where small analytic variation may translate into treatment changes; outside these contexts, its routine use has limited evidence for clinical utility. Its application should therefore be selective, context-dependent, and focused on scenarios in which threshold-adjacent precision is clinically consequential.

Indexed as

Biomarkers, TumorBreast NeoplasmsKi-67 AntigenClinical Decision-MakingFemaleHumansBiomarkers, TumorKi-67 AntigenbiomarkerCDK4/6 therapyinvasive ductal carcinoma

Identifiers

PMID42135608
PMCPMC13281913

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.