Evidence map›Paper›PMID 36973538›Full record

Trial reportCell research2023

Subtyping-based platform guides precision medicine for heavily pretreated metastatic triple-negative breast cancer: The FUTURE phase II umbrella clinical trial.

Yin Liu, Xiu-Zhi Zhu, Yi Xiao, Song-Yang Wu, Wen-Jia Zuo, Qiang Yu, A-Yong Cao, Jun-Jie Li, Ke-Da Yu, Guang-Yu Liu and 9 more

Open access · hybridAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Cell research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
15.1field-weighted citation impact, top 1% of its field
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

48 citing papers in PubMed, 63 citations in OpenAlex.

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  9. DCC-2036 induces repolarization of TAMs to M1 type and enhances CD8Molecular therapy : the journal of the American Society of Gene Therapy · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 4 institutions in 1 country.

Yin Liu *Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiu-Zhi Zhu *Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yi Xiao *Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Song-Yang Wu *Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Wen-Jia ZuoDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Qiang YuDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
A-Yong CaoDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Jun-Jie LiDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Ke-Da YuDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Guang-Yu LiuDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Jiong WuDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID 0000-0002-8103-0505
Tao SunDepartment of Medical Oncology, Cancer Hospital of China Medical University/Liaoning Cancer Hospital, Shenyang, Liaoning, China.
Jiu-Wei CuiDepartment of Medical Oncology, First Hospital of Jilin University, Changchun, Jilin, China.
Zheng LvDepartment of Medical Oncology, First Hospital of Jilin University, Changchun, Jilin, China.
Hui-Ping LiDepartment of Breast Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Xiao-Yu ZhuJiangsu Hengrui Pharmaceuticals Co. Ltd, Shanghai, China.
Yi-Zhou JiangDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China. yizhoujiang@fudan.edu.cn.
Zhong-Hua WangDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China. zhonghuawang95@hotmail.com.
Zhi-Ming ShaoDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China. zhimingshao@fudan.edu.cn.ORCID 0000-0002-4503-148X
Fudan University Shanghai Cancer Center · CNJilin University · CNLiaoning Cancer Hospital & Institute · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is a heterogeneous disease and lacks effective treatment. Our previous study classified TNBCs into four subtypes with putative therapeutic targets. Here, we report the final results of FUTURE, a phase II umbrella trial designed to explore whether the subtyping-based strategy may improve the outcomes in metastatic TNBC patients. A total of 141 patients with a median of three previous lines of therapies in the metastatic setting were enrolled in seven parallel arms. Confirmed objective responses were achieved in 42 patients (29.8%; 95% confidence interval [CI], 22.4-38.1). The median values of progression-free survival and overall survival were 3.4 (95% CI: 2.7-4.2) and 10.7 (95% CI: 9.1-12.3) months, respectively. Given Bayesian predictive probability, efficacy boundaries were achieved in four arms. Furthermore, integrated genomic and clinicopathological profiling illustrated associations of clinical and genomic parameters with treatment efficacy, and the efficacy of novel antibody-drug conjugates was explored in preclinical TNBC models of subtypes for which treatment was futile. In general, the FUTURE strategy recruits patients efficiently and provides promising efficacy with manageable toxicities, outlining a direction for further clinical exploration.

Indexed as

Triple Negative Breast NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsBayes TheoremHumansPrecision MedicineTreatment Outcome

Identifiers

PMID36973538
PMCPMC10156707
OpenAlexW4361006372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.