ArticleAnnals of surgical oncology2023
Development and Validation of a Predictive Model of Therapeutic Effect in Patients with Esophageal Squamous Cell Carcinoma Who Received Neoadjuvant Treatment: A Nationwide Retrospective Study in Japan.
Article in Annals of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed, 22 citations in OpenAlex.
- Conditional recurrence-free survival after curative esophagectomy: individual patient data analysis of 11 trials.Journal of the National Cancer Institute · 2026Article
- Survival after pathological complete response following neoadjuvant chemotherapy versus chemoradiotherapy for oesophageal squamous cell carcinoma.The British journal of surgery · 2026Article
- Real-world safety and efficacy of neoadjuvant docetaxel, cisplatin, and 5-fluorouracil therapy for locally advanced esophageal squamous cell carcinoma.BMC cancer · 2025Article
- Development and Validation of Nomogram Models Incorporating the Inflammatory Nutritional Index CALLY for Predicting Survival in Locally Advanced Rectal Cancer After Neoadjuvant Chemoradiotherapy.Cancer management and research · 2025Article
- Outcome research on esophagectomy analyzed using nationwide databases in Japan: evidences generated from real-world data.Esophagus : official journal of the Japan Esophageal Society · 2024Review
- Early Contrast-Enhanced MR for Diagnosing Complete Tumor Response of Locally Advanced Esophageal Squamous Cell Carcinoma After Neoadjuvant Therapy: A Retrospective Comparative Study.Annals of surgical oncology · 2024Article
- Efficacy and prognosis biomarker of locally advanced ESCC patients treated with neoadjuvant chemotherapy and anti-PD-1 immunotherapy.Frontiers in oncology · 2024Article
- The genomic signature of resistance to platinum-containing neoadjuvant therapy based on single-cell data.Cell & bioscience · 2023Article
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Authors and funding
11 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeoadjuvant treatment has become the standard of care for patients with advanced esophageal cancer. However, few studies have elucidated the clinical factors that predict response to neoadjuvant therapy in a large multicenter cohort. We aimed to develop a predictive model of therapeutic effect in patients with esophageal squamous cell carcinoma (SCC) who received neoadjuvant treatment.
methodsThis nationwide study included 4078 patients from 85 institutions. Patients who received neoadjuvant treatment followed by surgery for esophageal SCC were eligible. We developed a logistic regression model to predict good pathological therapeutic effects, and a predictive nomogram was generated by applying the logistic regression formula.
resultsAmong neoadjuvant regimens, cisplatin plus 5-fluorouracil (CF) was the most frequently used (60.2%), followed by docetaxel plus CF (DCF, 27.4%), CF with radiotherapy (CF-RT, 4.5%), adriamycin plus CF (3.6%), nedaplatin plus 5-fluorouracil (0.9%), and DCF-RT (0.5%). Multivariable analysis revealed that male sex, advanced cT category, and increased pretherapeutic SCC antigen level were independently associated with not achieving a good therapeutic effect. Moreover, intensified neoadjuvant regimens were independently associated with favorable therapeutic effects; DCF-RT elicited the best therapeutic effect, followed by CF-RT and DCF. A predictive model including nine commonly measured preoperative variables was generated, and the area under the curve was 0.679 (95% confidence interval: 0.658-0.700). This nomogram was also adequately validated internally.
conclusionsThe model developed in this study was validated and predicts the therapeutic effect in patients with esophageal SCC who received neoadjuvant treatment. This model might contribute to individualized treatment strategies.
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