Evidence map›Paper›PMID 42360651›Full record

ArticleJournal of gastrointestinal cancer2026

The Impact of Tumor Volume Change Rate During Neoadjuvant Chemoradiotherapy-immunotherapy and of the Timing to Surgery on Prognosis in Patients with Esophageal Squamous Cell Carcinoma: A Multicenter Study.

Hao Zhou, Tao Hu, Shuanghu Yuan

Abstract readMulticenter Study
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In one paragraph

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

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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hao Zhou *Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, China.
Tao Hu *Department of Radiation Oncology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China.
Shuanghu YuanDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, China. yuanshuanghu@sina.com.

Funding

Jinan Clinical Medicine Science and Technology Innovation Plan 202019060National Natural Science Foundation of China NSFC82473235Natural Science Innovation and Development Joint Foundation of Shandong Province ZR202209010002
6 · The paper itself

Abstract

purposeIn recent years, neoadjuvant chemoradiotherapy-immunotherapy (NICRT) has shown promising results in improving the prognosis of locally advanced esophageal squamous cell carcinoma (ESCC). This study aimed to evaluate the prognostic value of dynamic tumor volume changes during NICRT and to explore the association between the timing to surgery (TTS) and patient outcomes.

methodsThis retrospective multicenter study included 51 patients with histologically confirmed esophageal squamous cell carcinoma, who were treated between October 1, 2020, and October 30, 2023. All patients received NICRT, followed by radical esophagectomy. Tumor volumes were measured on pre- and post-treatment CT scans, and the volume change rate was calculated and correlated with survival outcomes. Overall survival (OS) and disease-free survival (DFS) were assessed using the Kaplan-Meier method. Univariate and multivariate Cox proportional hazards regression models were used to identify prognostic factors.

resultsA total of 51 patients were enrolled (median age 61 years, 88.2% male), with T3 being the most common stage (80.4%). Multivariate analysis identified both TTS and the tumor volume change rate as independent predictors of DFS (P = 0.025; P = 0.003) and OS (P = 0.005; P = 0.049). In addition, compared with early surgery, delayed surgery (> 6 weeks) was associated with significantly longer DFS (P = 0.002) and OS (P < 0.001).

conclusionTumor volume change rate is an independent prognostic factor in patients with ESCC treated with NICRT. Undergoing curative surgery six weeks after completion of neoadjuvant therapy may be associated with a better prognosis. However, given the limited sample size, this finding warrants further validation in large-scale prospective studies.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaEsophagectomyImmunotherapyNeoadjuvant TherapyAgedChemoradiotherapyFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesTime-to-TreatmentTumor BurdenEsophageal neoplasmsImmunotherapyOperative timeRadiotherapyTomography, X-ray computedTumor burden

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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.