- Gastrointestinal cancer
-
Evaluation and Comparison of Predictive Value of Tumor Regression Grades according to Mandard and Becker in Locally Advanced Gastric Adenocarcinoma
-
Yilin Tong, Yanmei Zhu, Yan Zhao, Zexing Shan, Dong Liu, Jianjun Zhang
-
Cancer Res Treat. 2021;53(1):112-122. Published online August 10, 2020
-
DOI: https://doi.org/10.4143/crt.2020.516
-
-
 Abstract
 PDF Supplementary Material PubReader ePub
- Purpose
Tumor regression grade (TRG) has been widely used in gastrointestinal carcinoma to assess pathological responses to neoadjuvant chemotherapy (NCT). There are various standards without a consensus, and it is still unclear which kind of system has better predictive value. This study aims to investigate and compare the predictive ability of the Mandard and Becker TRGs in patients with locally advanced gastric cancer.
Materials and Methods
A total of 290 patients with locally advanced gastric adenocarcinoma who underwent NCT and curative surgery were studied. Survival analysis for overall survival (OS) and disease-free survival (DFS) were based on the Kaplan-Meier method and Cox proportional hazards method. Predictive values of TRGs and models were assessed by time-dependent receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC), nomogram, and calibration curve.
Results
In multivariable analysis, the Mandard TRG was associated with OS (hazard ratio [HR], 1.806; p=0.026) and DFS (HR, 1.792; p=0.017). The Becker TRG was also related to OS (HR, 1.880; p=0.014) and DFS (HR, 1.919; p=0.006). The Mandard and Becker TRG AUCs for 5-year survival were 0.72 and 0.71, respectively. The whole models showed an increased predictive value, with AUCs of 0.85 and 0.86, respectively. There was no significant difference between the two TRGs and two models.
Conclusion
TRG was an independent predictor for survival, and there was no significant difference between these two systems.
-
Citations
Citations to this article as recorded by  - Microsatellite instability in gastric cancer: An institutional case series analysis in patients treated with neoadjuvant therapy
Laura Lorenzon, Alberto Biondi, Gloria Santoro, Annamaria Agnes, Antonio Laurino, Antonia Strippoli, Riccardo Ricci, Roberto Persiani, Domenico D'Ugo
Clinical Surgical Oncology.2024; 3(1): 100031. CrossRef - The Evolving Landscape of Neoadjuvant Immunotherapy in Gastroesophageal Cancer
Colum Dennehy, Alisha F. Khan, Ali H. Zaidi, Vincent K. Lam
Cancers.2024; 16(2): 286. CrossRef - Evaluating Treatment Response in GEJ Adenocarcinoma
Markus Graf, Joshua Gawlitza, Marcus Makowski, Felix Meurer, Thomas Huber, Sebastian Ziegelmayer
Investigative Radiology.2024; 59(8): 583. CrossRef - Deep learning nomogram for predicting neoadjuvant chemotherapy response in locally advanced gastric cancer patients
Jingjing Zhang, Qiang Zhang, Bo Zhao, Gaofeng Shi
Abdominal Radiology.2024; 49(11): 3780. CrossRef - Intratumoral heterogeneity affects tumor regression and Ki67 proliferation index in perioperatively treated gastric carcinoma
Magnus Kock am Brink, Laura Sophie Dunst, Hans-Michael Behrens, Sandra Krüger, Thomas Becker, Christoph Röcken
British Journal of Cancer.2023; 128(2): 375. CrossRef - Time to Surgery does not Affect Oncologic Outcomes in Locally Advanced Gastric Cancer after Neoadjuvant Chemotherapy: A Meta-Analysis
Zining Liu, Zhening Zhang, Hua Liu, Junbing Chen
Future Oncology.2023; 19(5): 397. CrossRef - Response Evaluation after Neoadjuvant Chemotherapy for Resectable Gastric Cancer
Alina Desiree Sandø, Reidun Fougner, Elin Synnøve Røyset, Hong Yan Dai, Jon Erik Grønbech, Erling Audun Bringeland
Cancers.2023; 15(8): 2318. CrossRef - Profiling complete regression after pre-operative therapy in gastric cancer patients using clinical and pathological data
Alberto Biondi, Laura Lorenzon, Gloria Santoro, Annamaria Agnes, Antonio Laurino, Roberto Persiani, Domenico D'Ugo
European Journal of Surgical Oncology.2023; 49(11): 106969. CrossRef - Concurrent clinical and pathological response predicts favorable prognosis of patients with gastric cancer after neoadjuvant therapy: a real-world study
Chongyuan Sun, Penghui Niu, Xiaojie Zhang, Lulu Zhao, Wanqing Wang, Xiaoyi Luan, Xue Han, Yingtai Chen, Dongbing Zhao
BMC Cancer.2023;[Epub] CrossRef - Sintilimab Plus Fluorouracil, Leucovorin, Oxaliplatin and Docetaxel Regimen as Neoadjuvant Therapy for Resectable Gastric Cancer and Biomarker Exploration
Jiangpeng Wei, Xin Guo, Xisheng Yang, Jinqiang Liu, Qianqian Duan, Yuan Tan, Qin Zhang, Tingting Sun, Chuang Qi, Xiaohua Li, Gang Ji
Future Oncology.2023; 19(36): 2395. CrossRef - Evaluation of dual-energy CT derived radiomics signatures in predicting outcomes in patients with advanced gastric cancer after neoadjuvant chemotherapy
Yong Chen, Fei Yuan, Lingyun Wang, Elsie Li, Zhihan Xu, Michael Wels, Weiwu Yao, Huan Zhang
European Journal of Surgical Oncology.2022; 48(2): 339. CrossRef - MORBIDITY AND SURVIVAL AFTER PERIOPERATIVE CHEMOTHERAPY IN GASTRIC CANCER: A STUDY USING THE BECKER’S CLASSIFICATION AND REGRESSION
Maria Cecília de Aguiar MACHADO, José Pedro Coimbra de Vargas Lobarinhas BARBOSA, Filipa Ferreira de OLIVEIRA, José Adelino Lobarinhas BARBOSA
ABCD. Arquivos Brasileiros de Cirurgia Digestiva (São Paulo).2022;[Epub] CrossRef - Validating a nodal regression system for gastric cancer: An ancillary cohort study of the GASTRODOC trial
Luca Saragoni, Leonardo Solaini, Daniele Marrelli, Maria Raffaella Ambrosio, Maria Bencivenga, Anna Tomezzoli, Carlo Milandri, Valentina Terrinazzi, Gian Luca Baiocchi, Carla Baronchelli, Flavia Foca, Giorgio Ercolani, Paolo Morgagni
International Journal of Surgery.2021; 94: 106112. CrossRef - Comparison of tumor regression grading systems for locally advanced gastric adenocarcinoma after neoadjuvant chemotherapy
Zi-Ning Liu, Yin-Kui Wang, Li Zhang, Yong-Ning Jia, Shan Fei, Xiang-Ji Ying, Yan Zhang, Shuang-Xi Li, Yu Sun, Zi-Yu Li, Jia-Fu Ji
World Journal of Gastrointestinal Oncology.2021; 13(12): 2161. CrossRef
-
6,947
View
-
146
Download
-
16
Web of Science
-
14
Crossref
|
KCA
