Evidence map›Paper›PMID 42310258›Full record

Trial reportBreast cancer (Tokyo, Japan)2026

Prognosis of ER-positive, HER2-negative postmenopausal early breast cancer patients based on response to neoadjuvant endocrine therapy and multigene assay results: findings from the NEOS trial.

Hiroji Iwata, Norikazu Masuda, Yutaka Yamamoto, Tomomi Fujisawa, Tatsuya Toyama, Masahiro Kashiwaba, Shoichiro Ohtani, Naruto Taira, Takehiko Sakai, Yoshie Hasegawa and 5 more

Abstract readClinical Trial, Phase III
In one paragraph

Trial report in Breast cancer (Tokyo, Japan), 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

15 authors.

Hiroji IwataDepartment of Advanced Clinical Research and Development, Nagoya City University Graduate School of Medical Sciences, 1 Aza-Kawasumi, Mizuho-Cho, Mizuho-Ku, Nagoya City, Aichi Prefecture, 467-8601, Japan. hiwata0422@gmail.com.ORCID http://orcid.org/0000-0002-0242-4718
Norikazu MasudaDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shōgoin Kawaracho, Sakyo-Ku, Kyoto City, Kyoto Prefecture, 606-8507, Japan.
Yutaka YamamotoDepartment of Breast and Endocrine Surgery, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-Ku, Kumamoto City, Kumamoto Prefecture, 860-8556, Japan.
Tomomi FujisawaDepartment of Breast Oncology, Gunma Prefectural Cancer Center, 617-1, Takabayashi Nishimachi, Ota City, Gunma Prefecture, 373-8550, Japan.
Tatsuya ToyamaDepartment of Breast Surgery, Nagoya City University, Graduate School of Medical Sciences, 1 Aza-Kawasumi, Mizuho-Cho, Mizuho-Ku, Nagoya City, Aichi Prefecture, 467-8601, Japan.
Masahiro KashiwabaBreast Surgery Center, Heartlife Hospital, 208 Iju, Nakagusuku Village, Nakagami District, Okinawa, Okinawa Prefecture, 901-2492, Japan.
Shoichiro OhtaniOhtani Shoichiro Breast Clinic, 12-5-1 Otemachi, Naka-Ku, Hiroshima City, Hiroshima Prefecture, 730-0051, Japan.
Naruto TairaBreast and Thyroid Surgery, Kawasaki Medical School, 577 Matsushima, Kurashiki City, Okayama Prefecture, 701-0192, Japan.
Takehiko SakaiBreast Oncology Center, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-Ku, Tokyo, 135-8550, Japan.
Yoshie HasegawaDepartment of Breast Surgery, Hachinohe City Hospital, 3-1-1, Tamukai, Hachinohe City, Aomori Prefecture, 031-8555, Japan.
Rikiya NakamuraDivision of Breast Surgery, Chiba Cancer Center, 666-2 Nito-Machi, Chuo-Ku, Chiba City, Chiba Prefecture, 260-8717, Japan.
Takuhiro YamaguchiDivision of Biostatistics, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Cho, Aoba-Ku, Sendai City, Miyagi Prefecture, 980-8574, Japan.
Kentaro SakamakiFaculty of Health Data Science, Juntendo University, 6-8-1 Hinode, Urayasu City, Chiba Prefecture, 279-0013, Japan.
Christy A RussellUS Medical Affairs, Exact Sciences Corporation, 301 Penobscot Drive, Redwood City, CA, 94063, USA.
Naoko SugiyamaMedical Affairs, Exact Sciences K.K. Toranomon Hills Mori Tower 21F, 1-23-1 Toranomon, Minato-Ku, Tokyo, 105-0001, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe previously reported the 21-gene Oncotype DX® assay results from TransNEOS in patients enrolled in the phase 3 NEOS trial. However, the association between assay results and long-term prognosis has remained unclear.

methodsOf the 296 patients registered in TransNEOS, 226 patients were enrolled in this study. Multigene assay results were categorized into three groups based on Recurrence Score® (RS): RS low < 11, RS intermediate 11-25, RS high > 25. Kaplan-Meier methods evaluated the association between RS results and DDFS and OS across treatments and clinical response to neoadjuvant endocrine treatment (NET).

resultsThe clinical efficacy of NET was judged as CR, PR, and SD in 4 (1.8%), 113 (50%), and 109 (48.2%) patients, respectively. In the RS low and intermediate groups, no statistically significant difference in DDFS or OS was observed between the endocrine therapy (ET) alone group and the chemoendocrine therapy (CT + ET) group. In the RS high group, OS was significantly lower in the ET group compared to the CT + ET group (p = 0.037). Among patients in the RS high group who achieved CR + PR response to NET, there was no significant difference in OS between the CT + ET group and the ET alone group (p = 0.25). However, the number of events was limited, and the study may have been underpowered to detect a meaningful difference.

conclusionsThe need for chemotherapy in postmenopausal HR + , HER2- breast cancer patients might be further informed by integrating the results of the Oncotype DX test with the response to NET.

Indexed as

Antineoplastic Agents, HormonalAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsNeoadjuvant TherapyNeoplasm Recurrence, LocalAgedBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesFemaleHumansKaplan-Meier EstimateMiddle AgedPostmenopausePrognosisReceptors, EstrogenAntineoplastic Agents, HormonalBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenER positiveHER2 negativeNeoadjuvant endocrine therapy (NET)Oncotype DXPostmenopausal breast cancer

Identifiers

PMID42310258
PMCPMC13522011

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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.