BACKGROUND: Combined treatment with 5-fluorouracil and cisplatin (FP chemotherapy) is an effective neoadjuvant regimen for gastric carcinoma. However, it is ineffective in half of all patients. This study tests the hypothesis that genetic markers might identify those patients with gastric cancer who would respond to neoadjuvant FP chemotherapy. MATERIALS AND METHODS: A total of 23 patients with gastric carcinoma were treated with neoadjuvant chemotherapy. Pretreatment biopsy specimens before neoadjuvant chemotherapy were obtained from 15 of 23 patients, and resected tumors were obtained from all 23. Genetic studies were performed to detect allelic imbalance (AI), microsatellite instability (MSI), and K-ras mutation. RESULTS: A clinical response was observed in 13 of 23 patients. Kaplan-Meier survival curve showed that clinical responder group had a significantly higher likelihood of overall survival (P = 0.0165), compared with nonresponder group. In 23 resection specimens, 10 of 23 tumors presented AI at the p53 locus and/or MSI; 8 of the 10 tumors were nonresponders, while 12 of 13 tumors without p53 AI or MSI were responders (P = 0.0007). In 15 pretreatment biopsy specimens, 8 tumors had p53 AI and/or MSI; 7 of the 8 tumors were nonresponders, while 6 of 7 tumors without p53 AI or MSI were responders to preoperative chemotherapy (P = 0.008). Tumors with AI at the p53 locus and/or MSI were significantly more resistant to neoadjuvant chemotherapy. No relationship was found between K-ras mutations and responses. CONCLUSIONS: Analysis for p53 AI and MSI might represent a clinically useful approach to predicting the response to neoadjuvant FP chemotherapy in gastric carcinoma.
BACKGROUND: Combined treatment with 5-fluorouracil and cisplatin (FP chemotherapy) is an effective neoadjuvant regimen for gastric carcinoma. However, it is ineffective in half of all patients. This study tests the hypothesis that genetic markers might identify those patients with gastric cancer who would respond to neoadjuvant FP chemotherapy. MATERIALS AND METHODS: A total of 23 patients with gastric carcinoma were treated with neoadjuvant chemotherapy. Pretreatment biopsy specimens before neoadjuvant chemotherapy were obtained from 15 of 23 patients, and resected tumors were obtained from all 23. Genetic studies were performed to detect allelic imbalance (AI), microsatellite instability (MSI), and K-ras mutation. RESULTS: A clinical response was observed in 13 of 23 patients. Kaplan-Meier survival curve showed that clinical responder group had a significantly higher likelihood of overall survival (P = 0.0165), compared with nonresponder group. In 23 resection specimens, 10 of 23 tumors presented AI at the p53 locus and/or MSI; 8 of the 10 tumors were nonresponders, while 12 of 13 tumors without p53 AI or MSI were responders (P = 0.0007). In 15 pretreatment biopsy specimens, 8 tumors had p53 AI and/or MSI; 7 of the 8 tumors were nonresponders, while 6 of 7 tumors without p53 AI or MSI were responders to preoperative chemotherapy (P = 0.008). Tumors with AI at the p53 locus and/or MSI were significantly more resistant to neoadjuvant chemotherapy. No relationship was found between K-ras mutations and responses. CONCLUSIONS: Analysis for p53 AI and MSI might represent a clinically useful approach to predicting the response to neoadjuvant FP chemotherapy in gastric carcinoma.
Authors: T Grundei; H Vogelsang; K Ott; J Mueller; M Scholz; K Becker; U Fink; J R Siewert; H Höfler; G Keller Journal: Clin Cancer Res Date: 2000-12 Impact factor: 12.531
Authors: A Cabelguenne; H Blons; I de Waziers; F Carnot; A M Houllier; T Soussi; D Brasnu; P Beaune; O Laccourreye; P Laurent-Puig Journal: J Clin Oncol Date: 2000-04 Impact factor: 44.544
Authors: Y S Chung; Y Yamashita; T Inoue; T Matsuoka; B Nakata; N Onoda; K Maeda; T Sawada; Y Kato; T Shirasaka; M Sowa Journal: Cancer Date: 1997-07-01 Impact factor: 6.860
Authors: Manfred P Lutz; Hansjochen Wilke; D J Theo Wagener; Udo Vanhoefer; Krzysztof Jeziorski; Susanna Hegewisch-Becker; Leopold Balleisen; Eric Joossens; Rob L Jansen; Muriel Debois; Ullrich Bethe; Michel Praet; Jacques Wils; Eric Van Cutsem Journal: J Clin Oncol Date: 2007-06-20 Impact factor: 44.544
Authors: S C Righetti; G Della Torre; S Pilotti; S Ménard; F Ottone; M I Colnaghi; M A Pierotti; C Lavarino; M Cornarotti; S Oriana; S Böhm; G L Bresciani; G Spatti; F Zunino Journal: Cancer Res Date: 1996-02-15 Impact factor: 12.701
Authors: Karsten Kleo; Vladimir M Jovanovic; Alexander Arndold; Annika Lehmann; Hedwig Lammert; Erika Berg; Hannah Harloff; Christoph Treese; Michael Hummel; Severin Daum Journal: J Cancer Res Clin Oncol Date: 2022-03-05 Impact factor: 4.553
Authors: Joanna D Holbrook; Joel S Parker; Kathleen T Gallagher; Wendy S Halsey; Ashley M Hughes; Victor J Weigman; Peter F Lebowitz; Rakesh Kumar Journal: J Transl Med Date: 2011-07-25 Impact factor: 5.531