Evidence map›Paper›PMID 41908795›Full record

ArticleTherapeutic advances in medical oncology2026

Effectiveness, safety, and biomarker analysis of sacituzumab govitecan in Chinese metastatic breast cancer: a multicenter real-world study.

Mu Li, Die Sang, Jin-Feng Zhang, Peng Yuan, Gang Li, Mei Yang, Cheng-Cheng Gong, Yi-Zhao Xie, Yi-Fan Chen, Shu-Ting Li and 3 more

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Mu LiDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0005-0069-7826
Die SangDepartment of Medical Oncology, Sanhuan Cancer Hospital, Beijing, China.ORCID https://orcid.org/0009-0001-9637-4220
Jin-Feng ZhangDepartment of Oncology, Shanghai Fengxian Central Hospital, Branch of The Sixth People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China.
Peng YuanDepartment of VIP Medical Oncology, National Cancer Center, Tumor Hospital of the Chinese Academy of Medical Sciences, Beijing, China.
Gang LiDepartment of Medical Oncology, Shanghai Minhang Cancer Hospital, Shanghai, China.
Mei YangDepartment of Medical Oncology, Shanghai Minhang Cancer Hospital, Shanghai, China.
Cheng-Cheng GongDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Yi-Zhao XieDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Yi-Fan ChenDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-5069-3672
Shu-Ting LiDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Qi-Xuan ZhaoDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Yan-Nan ZhaoDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270 Dongan Road, Shanghai 200032, China.
Bi-Yun WangDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270 Dongan Road, Shanghai 200032, China.ORCID https://orcid.org/0000-0002-7829-1544

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sacituzumab govitecan (SG), an anti-Trop-2 antibody-drug conjugate (ADC), was approved for metastatic triple-negative breast cancer (mTNBC) with ⩾1 prior therapy and hormone receptor-positive (HoR+) breast cancer progressing on cyclin-dependent kinase 4/6 inhibitor and chemotherapy. However, little real-world evidence is available in China, and the potential predictive biomarker of SG has not been fully investigated. Objectives: Our study aimed to evaluate the effectiveness, safety, and biomarker of SG in Chinese metastatic breast cancer (MBC) patients. Design: A total of 165 MBC patients treated with SG between June 2023 and December 2024 in 4 institutions nationwide were included in this study. SG was administered intravenously at a dosage of 10 mg/kg on days 1 and 8 of a 21-day treatment cycle. Methods: Demographic and clinical data were retrospectively collected and analyzed. Clinical outcomes included real-world progression-free survival (rwPFS), overall survival (OS), objective response rate (ORR), disease control rate, and toxicity. Results: In 103 mTNBC patients, median rwPFS was 5.1 months (95% confidence interval (CI): 3.8-7.4) and median rwOS was 19.7 months (95% CI: 17.3-not reached); in 62 HoR+HER2- patients, median rwPFS was 5.8 months (95% CI: 4.7-7.9), and OS data were immature. Prior PD-1/PD-L1 inhibitors exposure in TNBC showed significantly shorter rwPFS ( Conclusion: In conclusion, SG showed similar effectiveness with ASCENT and TROPiCS-02 study in heavily pretreated Chinese MBC patients. Given the compromised effectiveness in patients with prior PD-1/PD-L1 inhibitors or

Indexed as

Chinese metastatic breast cancerclinical outcomespredictive biomarkerreal-world studysacituzumab govitecan

Identifiers

PMID41908795
PMCPMC13018686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.