Evidence map›Paper›PMID 39033255›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2025

Early salvage therapy with anti-PD-1 antibody Camrelizumab in patients with advanced cervical cancer: a retrospective study.

Xianglin Jian, Jiajing Zhang, Ying Huang, Jingya Duan, Hua Linghu, Ruonan Li

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

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

  1. Pooled it
  2. Review
  3. Epigenetic regulation in gynecological cancers: a paradigm shift in immunotherapy strategies.Journal of experimental & clinical cancer research : CR · 2025
    Review
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

6 authors.

Xianglin JianDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Chongqing Medical University, 1st You Yi Road, Yuzhong District, Chongqing, 400016, China.ORCID http://orcid.org/0009-0001-2278-0939
Jiajing ZhangDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Chongqing Medical University, 1st You Yi Road, Yuzhong District, Chongqing, 400016, China.ORCID http://orcid.org/0009-0003-5093-9454
Ying HuangDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Chongqing Medical University, 1st You Yi Road, Yuzhong District, Chongqing, 400016, China.ORCID http://orcid.org/0009-0007-1749-1773
Jingya DuanDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Chongqing Medical University, 1st You Yi Road, Yuzhong District, Chongqing, 400016, China.ORCID http://orcid.org/0000-0002-8056-2382
Hua LinghuDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Chongqing Medical University, 1st You Yi Road, Yuzhong District, Chongqing, 400016, China.ORCID http://orcid.org/0000-0003-4555-5424
Ruonan LiDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Chongqing Medical University, 1st You Yi Road, Yuzhong District, Chongqing, 400016, China. liruonan@stu.cqmu.edu.cn.ORCID http://orcid.org/0009-0005-3010-7110

Funding

Chongqing Science and Technology Foundation cstc2021jcyj-msxmX0275Hospital Cultivation fund of First Affiliated Hospital of CQMU PYJJ-2022-06Science and Technology Committee of Yuzhong District 20190133
6 · The paper itself

Abstract

objectiveTo observe the clinical efficacy of Camrelizumab in patients with advanced cervical cancer who presented with resistance to initial therapy.

methodsWe retrieved data from 25 patients with advanced (stage IIA2-IV) cervical cancer who were administered a combination salvage therapy with Camrelizumab due to the poor response to initial chemotherapy. The primary outcome was objective response rate (ORR) and disease control rate (DCR), the secondary endpoints included progression-free survival (PFS) and the occurrence of adverse events. To evaluate its long-term effect on PFS, we included 64 patients diagnosed with stage IIA2-IV during the study period, who were responsive to initial radiotherapy or chemotherapy and received conventional therapy as control.

resultsCamrelizumab exhibits a high salvage treatment efficacy, with ORR of 80.0% (20/25) and DCR of 88.0% (22/25) in Camrelizumab salvage group (CS group). The PFS in CS group was significantly longer than that in control group. The median follow-up time were 18.1 and 18.3 months in the CS group and the control group, respectively, and neither achieved median PFS. The adverse event (AEs) rates in the CS and control groups were 52.0% (13/25) and 51.6% (33/64), in which the most common adverse events were myelosuppression, cutaneous capillary endothelial proliferation (CCEP), and elevated liver enzymes, and the grade of AEs was less than grade 3 in all patients.

conclusionCamrelizumab demonstrated promising efficacy and safety as the early salvage treatment for patients with advanced cervical cancer.

Indexed as

Antibodies, Monoclonal, HumanizedImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorSalvage TherapyUterine Cervical NeoplasmsAdultAgedFemaleHumansMiddle AgedNeoplasm StagingProgression-Free SurvivalRetrospective StudiesAntibodies, Monoclonal, HumanizedcamrelizumabImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorCamrelizumabCervical cancerImmunotherapyPD-1 inhibitorsSalvage therapy

Identifiers

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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.