Evidence map›Paper›PMID 40165203›Full record

ArticleRadiation oncology (London, England)2025

Prognostic implications of tumor volume reduction during radiotherapy in locally advanced cervical cancer: a risk-stratified analysis.

Canyang Lin, Nan Xiao, Qin Chen, Dongxia Liao, Fengling Yang, Pengfei Liu, Yunshan Jiang, Dan Zhao, Baoling Guo, Xiaolei Ni

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Canyang Lin *Department of Radiation Oncology, The First Hospital of Longyan Affiliated to Fujian Medical University, Longyan, Fujian, China.
Nan Xiao *Department of Radiation Oncology, The First Hospital of Longyan Affiliated to Fujian Medical University, Longyan, Fujian, China.
Qin ChenDepartment of Gynecological Oncology and Radiology Department, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China.
Dongxia LiaoDepartment of Radiation Oncology, The First Hospital of Longyan Affiliated to Fujian Medical University, Longyan, Fujian, China.
Fengling YangDepartment of Radiation Oncology, The First Hospital of Longyan Affiliated to Fujian Medical University, Longyan, Fujian, China.
Pengfei LiuDepartment of Radiation Oncology, The First Hospital of Longyan Affiliated to Fujian Medical University, Longyan, Fujian, China.
Yunshan JiangDepartment of Radiation Oncology, The First Hospital of Longyan Affiliated to Fujian Medical University, Longyan, Fujian, China.
Dan ZhaoDepartment of Radiation Oncology, The First Hospital of Longyan Affiliated to Fujian Medical University, Longyan, Fujian, China.
Baoling GuoDepartment of Radiation Oncology, The First Hospital of Longyan Affiliated to Fujian Medical University, Longyan, Fujian, China. baolingguo@sina.com.
Xiaolei NiDepartment of Radiation Oncology, The First Hospital of Longyan Affiliated to Fujian Medical University, Longyan, Fujian, China. nixiaolei2005@126.com.

Funding

Longyan Science and Technology Planning Project. Project number: 2020LYF17041, FLY2023CQY020060, 2020LYF17043, 2020LYF17042
6 · The paper itself

Abstract

backgroundThis study aimed to identify key risk factors in locally advanced cervical cancer (LACC) patients receiving radical radiotherapy and to evaluate the prognostic significance of MRI-determined tumor volume regression (TVR) among varying risk groups.

methodsWe retrospectively analyzed a cohort of 176 cervical cancer patients (stages IIA-IVA) treated with intensity-modulated radiotherapy from January 2012 to December 2020. Three-dimensional MRI scans were utilized to measure TVR and lymph node volume regression (NVR). Kaplan-Meier analysis was employed to assess overall survival (OS), progression-free survival (PFS), local relapse-free survival (LRFS), and distant metastasis-free survival (DMFS). Prognostic factors were further analyzed using Cox proportional hazards models.

resultsA tumor TVR of ≥ 94% was significantly associated with improved 5-year overall survival (OS; 82.7% vs. 49.8%, p < 0.001) and progression-free survival (PFS; 82.5% vs. 51.1%, p < 0.001). Patients with TVR ≥ 94% also demonstrated superior LRFS and DMFS compared to those with TVR < 94% (p < 0.001 and p = 0.012, respectively). In the concurrent chemoradiotherapy (CCRT) subgroup, higher TVR correlated with better prognosis, whereas in patients receiving radiotherapy alone, an increased TVR did not significantly impact OS. Notably, the prognostic value of TVR was most evident in patients with CYFRA21-1 levels below 7.7 ng/ml. In the NVR ≥ 94% subgroup, OS, PFS, and LRFS were significantly better than in patients with NVR < 94% (p < 0.01), with a trend towards improved DMFS observed (p = 0.138).

conclusionTVR serves as a pivotal prognostic marker in LACC patients with CYFRA21-1 levels below 7.7 ng/ml undergoing CCRT. Additionally, within the lymph node metastasis subgroup, patients achieving a NVR of ≥ 94% demonstrated a notably improved prognosis.

Indexed as

Radiotherapy, Intensity-ModulatedTumor BurdenUterine Cervical NeoplasmsAdultAgedFemaleHumansMagnetic Resonance ImagingMiddle AgedPrognosisRetrospective StudiesSurvival RateCervical cancerChemoradiotherapyPrognosisRadiotherapyTumor volume reduction

Identifiers

PMID40165203
PMCPMC11959748

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LicenceCC BY-NC-ND
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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.