Evidence map›Paper›PMID 41619104›Full record

Observational studyBreast cancer (Tokyo, Japan)2026

Efficacy and prognostic predictors of primary systemic therapy for de novo Stage IV breast cancer. Exploratory analysis of JCOG1017 PRIM-BC.

Tadahiko Shien, Makoto Ishitobi, Keita Sasaki, Kiyo Tanaka, Akihiko Shimomura, Takahiro Tsukioki, Yasuaki Sagara, Yuri Kimura, Kaori Terata, Takayuki Ishiba and 10 more

Abstract readObservational Study
In one paragraph

Observational study 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

20 authors.

Tadahiko ShienDepartment of Breast and Endocrine Surgery, Okayama University Hospital, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 7008558, Japan. tshien@md.okayama-u.ac.jp.ORCID http://orcid.org/0000-0003-3202-5512
Makoto IshitobiBreast Surgery, Osaka Habikino Medical Center, Osaka, Japan.
Keita SasakiJCOG Operation Office/Data Center, National Cancer Center Hospital, Tokyo, Japan.
Kiyo TanakaBreast Surgery, Toranomon Hospital, Tokyo, Japan.
Akihiko ShimomuraBreast and Medical Oncology Department, NCGM - Center Hospital of the National Center for Global Health and Medicine, Tokyo, Japan.
Takahiro TsukiokiDepartment of Breast and Endocrine Surgery, Okayama University Hospital, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 7008558, Japan.
Yasuaki SagaraBreast Surgical Oncology Department, Sagara Hospital, Kagoshima, Japan.
Yuri KimuraBreast Surgery, Japanese Foundation for Multidisciplinary Treatment of Cancer, Tokyo, Japan.
Kaori TerataBreast and Endocrine Surgery, Akita University Hospital, Akita, Japan.
Takayuki IshibaBreast Surgery, University of Science Tokyo, Tokyo, Japan.
Hiroyuki YasojimaBreast Surgery, Osaka Medical Center, Osaka, Japan.
Makiko OnoDepartment of Medical Oncology, The Cancer Institute Hospital of JFCR, Tokyo, Japan.
Kyoko GodaBreast Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Yoichi NaitoDepartment of Developmental Therapeutics, National Cancer Center Hospital East, Kashiwa, Japan.
Tomomi FujisawaBreast Oncology, Gunma Prefectural Cancer Center, Gunma, Japan.
Fumikata HaraBreast Oncology, Aichi Cancer Center Hospital, Nagoya, Japan.
Gakuto OgawaJCOG Operation Office/Data Center, National Cancer Center Hospital, Tokyo, Japan.
Haruhiko FukudaJCOG Operation Office/Data Center, National Cancer Center Hospital, Tokyo, Japan.
Hiroji IwataDepartment of Advanced Clinical Research and Development, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Breast Cancer Study Group of Japan Clinical Oncology Group (JCOG), Japan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal initial systemic therapy for de novo Stage IV breast cancer (BC) is critical, particularly to assess early drug efficacy. In the JCOG1017 trial, untreated de novo Stage IV BC patients received 3 months of subtype-based systemic therapy before randomization for primary tumor resection. Among 569 treated patients, the overall non-progression disease (non-PD: no 10% or more increase in maximum diameter) rate was 77.2%, and the objective response rate (ORR) was 29.0%. By subtype, non-PD/ORR rates were TN (78.2%/36.4%), Luminal (75.4%/13.4%), HER2 (92.9%/81.0%), and Luminal-HER2 (66.7%/40.3%). Multivariable analysis revealed higher non-PD rates in postmenopausal patients (odds ratio (OR) 1.673, p = 0.024) and those with PgR-positive tumors (OR 2.391, p = 0.0019). Endocrine therapy was more effective for patients with PgR-positive tumors (OR 3.258, p < 0.0001) and less practical in those with visceral metastasis (OR 0.605, p = 0.0334). HPD (Trastuzumab, Pertuzumab, Docetaxel)/HPTX (Trastuzumab, Paclitaxel) therapies (non-PD rate: 92.7%) were highly effective for visceral metastasis (OR = 15.818, p = 0.0030). Patients without progression at 3 months had significantly better overall survival (HR 0.508, 95% CI [0.398, 0.648]). These findings emphasize that initial therapy must align with subtype, and endocrine monotherapy is suboptimal for ER + HER2 + BC. Effective strategies are needed for those with early progression.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsAdultAgedDocetaxelErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedNeoplasm StagingPrognosisRandomized Controlled Trials as TopicReceptors, EstrogenReceptors, ProgesteroneTreatment OutcomeDocetaxelERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, Progesteronede novo Stage IVMetastatic Breast CancerPrimary systemic therapy

Identifiers

PMID41619104
PMCPMC12960300

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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.