Comparative analysis and optimization of tumor regression grade assessment systems in neoadjuvant therapy for esophageal squamous cell carcinoma

The modified Modified TRG system, with a focus on LN evaluation, demonstrates superior prognostic predictive ability and risk stratification effectiveness. These findings may assist clinicians in more accurately assessing patient prognosis and adjusting treatment strategies accordingly, ultimately optimizing patient treatment pathways.

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Publication Details

Journal
BMC Cancer
Published
2025-08-20
DOI
https://doi.org/10.1186/s12885-025-14726-4
Citations
1
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
2.01
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article

Comparative analysis and optimization of tumor regression grade assessment systems in neoadjuvant therapy for esophageal squamous cell carcinoma

Xuefeng Leng, Lin Shi, Yehan Zhou, Xiaoqing Zhou et al.
1 citations
BMC Cancer
Esophageal Cancer Research and Treatment
2.01
article

Comparative analysis and optimization of tumor regression grade assessment systems in neoadjuvant therapy for esophageal squamous cell carcinoma

Xuefeng Leng, Lin Shi, Yehan Zhou, Xiaoqing Zhou, Dan Luo, Yang Liu, Yi Wang, Qiao Yang, Juhua Luo, Chengmin Zhou, Jieyu Wang, Jiayu Li, Qifeng Wang
article en
1 citations

Abstract

The modified Modified TRG system, with a focus on LN evaluation, demonstrates superior prognostic predictive ability and risk stratification effectiveness. These findings may assist clinicians in more accurately assessing patient prognosis and adjusting treatment strategies accordingly, ultimately optimizing patient treatment pathways.

BMC CancerVol. 25(1)
Sichuan Cancer Hospital (CN)
Openalex Percentile: Top 12%
Esophageal Cancer Research and Treatment
2.01
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Comparative analysis and optimization of tumor regression grade assessment systems in neoadjuvant therapy for esophageal squamous cell carcinoma — Xuefeng Leng, Lin Shi, et al. · BMC Cancer (2025) | TGRS Research Map | TGRS