Evidence map›Paper›PMID 39020239›Full record

ArticleBreast cancer (Tokyo, Japan)2024

Development of a nomogram to predict recurrence scores obtained using Oncotype DX in Japanese patients with breast cancer.

Akio Shibata, Nobuko Tamura, Keiichi Kinowaki, Aya Nishikawa, Kiyo Tanaka, Yoko Kobayashi, Takuya Ogura, Yuko Tanabe, Hidetaka Kawabata

Abstract read
In one paragraph

Article in Breast cancer (Tokyo, Japan), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

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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

9 authors.

Akio ShibataDepartment of Breast and Endocrine Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan. aki4107@gmail.com.ORCID http://orcid.org/0009-0009-9164-6926
Nobuko TamuraDepartment of Breast and Endocrine Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan.
Keiichi KinowakiDepartment of Pathology, Toranomon Hospital, Tokyo, Japan.
Aya NishikawaDepartment of Breast and Endocrine Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan.
Kiyo TanakaDepartment of Breast and Endocrine Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan.
Yoko KobayashiDepartment of Breast and Endocrine Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan.
Takuya OguraDepartment of Breast and Endocrine Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan.
Yuko TanabeDepartment of Clinical Oncology, Toranomon Hospital, Tokyo, Japan.
Hidetaka KawabataDepartment of Breast and Endocrine Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemotherapy is crucial for hormone receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative breast cancer, and its survival benefits may outweigh adverse events. Oncotype DX (ODX) assesses this balance; however, it is expensive. Using nomograms to identify cases requiring ODX may be economically beneficial. We aimed to identify clinicopathological variables that correlated with the recurrence score (RS) and develop a nomogram that predicted the RS.

methodsWe included 457 patients with estrogen receptor-positive, HER2-negative breast cancer with metastases in fewer than four axillary lymph nodes who underwent surgery and ODX at our hospital between 2007 and 2023. We developed nomograms and internally validated them in 310 patients who underwent surgery between 2007 and 2021 and validated the model's performance in 147 patients who underwent surgery between 2022 and 2023.

resultsLogistic regression analysis revealed that progesterone receptor (PgR) level, histological grade (HG), and Ki67 index independently predicted the RS. A nomogram was developed using these variables to predict the RS (area under the curve [AUC], 0.870; 95% confidence interval [CI], 0.82-0.92). The nomogram was applied to the model validation group (AUC, 0.877; 95% CI, 0.80-0.95). When the sensitivity of the nomogram was 90%, the model was able to identify 52.3% low-RS and 41.2% high-RS cases not requiring ODX.

conclusionsThis was the first nomogram model developed based on data from a cohort of Japanese women. It may help determine the indications for ODX and the use of nomogram to identify cases requiring ODX may be economically beneficial.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesNeoplasm Recurrence, LocalNomogramsReceptors, EstrogenReceptors, ProgesteroneAdultAgedAged, 80 and overBiomarkers, TumorEast Asian PeopleFemaleGene Expression ProfilingHumansJapanKi-67 AntigenBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesKi-67 AntigenReceptors, EstrogenReceptors, ProgesteroneBreast cancerNomogramOncotype DXPredictionRecurrence

Identifiers

PMID39020239
PMCPMC11489311

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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.