Evidence map›Paper›PMID 40726978›Full record

ArticleFrontiers in immunology2025

Real-world data of cadonilimab in recurrent or metastatic cervical cancer in China: a multicentric study.

Jian Chen, Haijuan Yu, Yingtao Lin, Dan Hu, Li Liu, Renliang Fan, Jianping Zou, Lele Zang, Yao Lin, Rong Lin and 15 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06140589 (Study on the Efficacy, Safety and Cost-effectiveness of Cadonilimab in the Treatment of Cervical Cancer), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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.

NCT06140589 recruitingnot on this map

Study on the Efficacy, Safety and Cost-effectiveness of Cadonilimab in the Treatment of Cervical Cancer

TypeobservationalSponsorFujian Cancer HospitalRan2024 to 2026Enrolled200ConditionsCervical CancerArmsCadonilimab
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. 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

25 authors.

Jian Chen *Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Haijuan Yu *Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Yingtao LinDepartment of Clinical Medical Research Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Dan HuDepartment of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Li LiuDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Renliang FanDepartment of Oncology, Fujian Medical University Affiliated Nanping First Hospital, Nanping, China.
Jianping ZouDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Lele ZangDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Yao LinDepartment of Obstetrics and Gynecology, The First Hospital Affiliated to Fujian Medical University, Fuzhou, China.
Rong LinDepartment of Obstetrics and Gynecology, Fujian Provincial Hospital, Fuzhou, China.
Dezhao ChenDepartment of Obstetrics and Gynecology, Fujian Medical University Union Hospital, Fuzhou, China.
Xiaoying WengDepartment of Obstetrics and Gynecology, Fujian Provincial Hospital, Fuzhou, China.
Fenfang ShenDepartment of Obstetrics and Gynecology, Fujian Provincial Hospital, Fuzhou, China.
Shaoyu WangDepartment of Obstetrics and Gynecology, The First Hospital Affiliated to Fujian Medical University, Fuzhou, China.
Wei ZengDepartment of Obstetrics and Gynecology, Gutian Hospital, Ningde, China.
Qihua TianDepartment of Gynecology, People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Yun YiDepartment of Gynecology, Jiangxi Cancer Hospital, Nanchang, China.
Yuanfeng ChenDepartment of Gynecology, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China.
Jinjin MiaoDepartment of Obstetrics and Gynecology, Lianyungang Donghai County People's Hospital, Lianyungang, China.
Bo ZhangDepartment of Gynecology, Changsha Maternal and Child Health Hospital, Changsha, China.
Yinxia ZouDepartment of Gynecology, Pingxiang Maternal and Child Health Hospital, Pingxiang, China.
Fengming GaoDepartment of Obstetrics and Gynecology, The First Hospital Affiliated to Fujian Medical University, Fuzhou, China.
Rong LianBeijing GenePlus Technology Co. Ltd., Beijing, China.
Lin YangDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Yang SunDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immunotherapy has become a powerful clinical strategy for treating recurrent or metastatic cervical cancer (R/M CC). Cadonilimab, a novel anti-PD-1/CTLA-4 bispecific antibody, has shown substantial clinical benefits in cancer treatment. However, there is no real-world evidence of cadonilimab with a considerable sample size in R/M CC. Hence, we aim to assess the efficacy and safety of cadonilimab in R/M CC patients and explore its potential mechanism. Methods: This retrospective real-world study examined a sample of R/M CC patients treated with cadonilimab at 13 large academic medical centers in China from July 6, 2022, to October 1, 2023. The outcomes were objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), as well as safety profiles. Additionally, the programmed cell death 1 ligand 1 (PD-L1) was detected by immunohistochemistry to confirm its predictive values. Whole exome sequencing (WES) was also performed to investigate its potential antitumor mechanisms. Results: Among the 129 patients with measurable disease, the ORR was 38.8%, consisting of complete and partial responses in 8.5% and 30.2% of patients, respectively. The DCR was 72.1%. The median PFS was 12.4 months, while the median OS has not yet been reached. Subgroup analysis showed a numerical trend toward longer median PFS in patients with PD-L1 CPS ≥ 1 compared with CPS < 1 (14.0 vs. 12.8 months; P = 0.235). Moreover, combined therapy of cadonilimab and radiotherapy was identified as an independent prognostic factor for both OS and PFS. The most common grade 3 or worse adverse event was anemia (28 [20.1%]), decreased white blood cell count (24 [17.2%]), and decreased neutrophil count (20 [14.4%]). The most prevalent genetic variant was PIK3CA, highlighting the importance of the PI3K-AKT pathway in the antitumor mechanism of cadonilimab. Conclusions: Cadonilimab shows an encouraging tumor response rate, with a manageable safety profile in patients with R/M CC. Notably, cadonilimab is also effective for those with PD-L1 CPS <1, suggesting a broad range of application prospects in R/M CC. Clinical Trial Registration: https://www.clinicaltrials.gov, identifier NCT06140589.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalImmune Checkpoint InhibitorsNeoplasm Recurrence, LocalUterine Cervical NeoplasmsAdultAgedB7-H1 AntigenChinaFemaleHumansMiddle AgedNeoplasm MetastasisRetrospective StudiesTreatment OutcomeAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalB7-H1 AntigenCD274 protein, humanImmune Checkpoint Inhibitorsbi-specific antibodycadonilimabCTLA-4PD-1real worldrecurrent or metastatic cervical cancer

Identifiers

PMID40726978
PMCPMC12301402

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Registered trials

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.