Literature DB >> 16930932

Response to neoadjuvant chemotherapy and effects of tumor regression in gastric cancer.

D D'Ugo1, R Persiani, S Rausei, A Biondi, V Vigorita, S Boccia, R Ricci.   

Abstract

AIMS: Aim of this study is the evaluation of the effects induced by neoadjuvant chemotherapy (NACT) and its impact on survival on a series of locally advanced gastric carcinomas.
METHODS: Downstaging was assessed comparing pre-treatment clinical and laparoscopic staging with post-operative pathologic staging on 30 consecutive patients who completed a 3-year follow-up. Tumor downstaging and the grade of pathologic response were included in a statistical correlation between tumor regression induced by NACT and 3-year survival.
RESULTS: In this series tumor downstaging was obtained in 13 out of 30 patients. After the completion of 3-year follow-up, overall survival was >37.5months with an overall survival rate of 56.7%; this figure reached up to 70.8% in those cases who benefited from a R0-resection (24/30 patients: R0-resection rate 80.0%).
CONCLUSIONS: In this study the 3-year survival for locally advanced gastric cancer treated by NACT prior to "D2" surgical resection, compares favourably with historical series treated by surgery alone. Patients who obtained T-downstaging and subsequently benefited from a R0-resection had a definitely better chance of cure, according to a complete 3-year follow-up.

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Year:  2006        PMID: 16930932     DOI: 10.1016/j.ejso.2006.07.009

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  16 in total

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Review 5.  Neo-adjuvant chemo(radio)therapy in gastric cancer: Current status and future perspectives.

Authors:  Alberto Biondi; Maria C Lirosi; Domenico D'Ugo; Valeria Fico; Riccardo Ricci; Francesco Santullo; Antonia Rizzuto; Ferdinando Cm Cananzi; Roberto Persiani
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9.  Comparison of perioperative chemotherapy with adjuvant chemoradiotherapy for resectable gastric cancer: findings from a population-based study.

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Journal:  J Gastrointest Oncol       Date:  2018-02

10.  A Machine Learning Model for Predicting a Major Response to Neoadjuvant Chemotherapy in Advanced Gastric Cancer.

Authors:  Yonghe Chen; Kaikai Wei; Dan Liu; Jun Xiang; Gang Wang; Xiaochun Meng; Junsheng Peng
Journal:  Front Oncol       Date:  2021-06-01       Impact factor: 6.244

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