Evidence map›Paper›PMID 41971439›Full record

ArticleFrontiers in oncology2026

Quantifying statistical cure in unresectable locally advanced esophageal squamous cell carcinoma treated with radiotherapy-based regimens: a cure model analysis with SEER validation.

Nan Wang, Xiangyang Zhang, Xiaoli Zheng, Xiaohui Wang, Ying Jiang, Zhuangzhuang Zhang, Yibo Zhao, Yumeng Xiao, Shuhan Yang, Longxin Zhu and 5 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Nan Wang *Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xiangyang Zhang *Department of Oncology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Xiaoli ZhengDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
Xiaohui WangDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
Ying JiangDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhuangzhuang ZhangDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
Yibo ZhaoDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
Yumeng XiaoDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
Shuhan YangDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
Longxin ZhuDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
Xiance TangDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
Baosheng LiDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Yexiong LiDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
Nan BiDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hong GeDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to quantify the statistical cure in patients with unresectable locally advanced esophageal squamous cell carcinoma (LA-ESCC) treated with definitive radiotherapy (RT)-based strategies and to explore the independent prognostic factors of cure. Methods and Materials: This retrospective study analyzed 801 patients with unresectable LA-ESCC at Affiliated Cancer Hospital of Zhengzhou University from 2014 to 2023. All patients received definitive RT and were stratified into chemoradiotherapy (CRT, n=689) or CRT combined with immunity checkpoint inhibitors (CRT+ICIs, n=112) based on treatment received. A relative survival (RS)-based mixture cure modeling methodology was used to estimate the cure fraction and cure point. The model was externally validated using a dataset of 5,000 matched patients from the SEER database. Results: Our model estimated a cure fraction of 10.4% and a cure point of 6.7 years. Subset analysis indicated that patients treated with CRT+ICIs had a higher cure fraction than those treated with CRT (30.6% vs 10.9%), with a shorter time to cure (3.9 vs 7.1 years). Validation with the SEER dataset showed a comparable cure fraction (10.8%) but a longer cure point (9.3 years). Multivariable analysis suggested that the favorable independent prognostic factors of statistical cure included a higher BMI ( Conclusions: Statistical cure is achievable in unresectable LA-ESCC patients receiving RT-based regimens. However, the traditional 5-year overall survival (OS) insufficiently reflects long-term survival, indicating that follow-up in the CRT group should be at least 7 years. Incorporation of ICIs facilitated curative potential and shortened cure point, supporting a 4-year OS surrogate endpoint for CRT+ICIs. These findings emphasize the value of integrating cure models into clinical practice to optimize individualized treatment and surveillance strategies.

Indexed as

chemoradiotherapycure fractioncure modelcure pointimmune checkpoint inhibitorsradiotherapyseer databasestatistical cure

Identifiers

PMID41971439
PMCPMC13061866

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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.