Your browser doesn't support javascript.
loading
Real-Time Tumor Gene Expression Profiling to Direct Gastric Cancer Chemotherapy: Proof-of-Concept "3G" Trial.
Yong, Wei Peng; Rha, Sun Young; Tan, Iain Bee-Huat; Choo, Su-Pin; Syn, Nicholas L; Koh, Vivien; Tan, Shi-Hui; Asuncion, Bernadette Reyna; Sundar, Raghav; So, Jimmy Bok-Yan; Shabbir, Asim; Tan, Chee-Seng; Kim, Hyo-Song; Jung, Minkyu; Chung, Hyun Cheol; Ng, Matthew C H; Tai, David Wai-Meng; Lee, Ming-Hui; Wu, Jeanie; Yeoh, Khay Guan; Tan, Patrick.
Afiliação
  • Yong WP; Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore. csiywp@nus.edu.sg.
  • Rha SY; Cancer Science Institute of Singapore, National University of Singapore, Singapore.
  • Tan IB; Division of Medical Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.
  • Choo SP; Division of Medical Oncology, National Cancer Centre Singapore, Singapore.
  • Syn NL; Division of Medical Oncology, National Cancer Centre Singapore, Singapore.
  • Koh V; Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
  • Tan SH; Cancer Science Institute of Singapore, National University of Singapore, Singapore.
  • Asuncion BR; Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
  • Sundar R; Cancer Science Institute of Singapore, National University of Singapore, Singapore.
  • So JB; Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
  • Shabbir A; Cancer Science Institute of Singapore, National University of Singapore, Singapore.
  • Tan CS; Cancer Science Institute of Singapore, National University of Singapore, Singapore.
  • Kim HS; Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
  • Jung M; Department of Surgery, National University Hospital, Singapore.
  • Chung HC; Department of Surgery, National University Hospital, Singapore.
  • Ng MCH; Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
  • Tai DW; Division of Medical Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.
  • Lee MH; Division of Medical Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.
  • Wu J; Division of Medical Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.
  • Yeoh KG; Division of Medical Oncology, National Cancer Centre Singapore, Singapore.
  • Tan P; Division of Medical Oncology, National Cancer Centre Singapore, Singapore.
Clin Cancer Res ; 24(21): 5272-5281, 2018 11 01.
Article em En | MEDLINE | ID: mdl-30045931
Purpose: The oxaliplatin plus S-1 and cisplatin plus S-1 regimens are interchangeably used in the management of advanced gastric cancer. The previously reported G-intestinal (G1) and G-diffuse (G2) intrinsic gene expression signatures showed promise for stratifying patients according to their tumor sensitivity to oxaliplatin or cisplatin.Experimental Design: The proof-of-concept, multicenter, open-label phase II "3G" trial was done to prospectively evaluate the feasibility and efficacy of using genomic classifiers to tailor treatment in gastric cancer. Patients' tumors were classified as "G1" or "G2" using a nearest-prediction template method, or "G3" (unclear assignment) when FDR ≥ 0.05. The first 30 patients in the "G1" cohort were assigned oxaliplatin plus S-1 (SOX) chemotherapy; thereafter, subsequently recruited "G1" patients were treated with cisplatin plus S-1 (SP) chemotherapy. "G2" patients and "G3" patients were treated with SP and SOX chemotherapy, respectively.Results: A total of 48, 21, and 12 patients, respectively, were given "G1," "G2," and "G3" genomic assignments. Median turnaround time was 7 days (IQR, 5-9). Response rates were 44.8%, 8.3%, 26.7%, and 55.6% for the "G1-SOX," "G1-SP," "G2," "G3" cohorts, respectively; and was higher in G1 patients treated with SOX compared with SP (P = 0.033). Exploratory analyses using the genomic classifier of Lei and colleagues validated the utility of the metabolic signature as a biomarker for predicting benefit from chemotherapy (log-rank P = 0.004 for PFS), whereas the Asian Cancer Research Group classifier did not demonstrate any predictive value.Conclusions: This bench-to-bedside effort establishes a reasonable turnaround time for gene expression profiling and possible utility of genomic classifiers in gastric cancer treatment stratification. Clin Cancer Res; 24(21); 5272-81. ©2018 AACR.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Protocolos de Quimioterapia Combinada Antineoplásica / Perfilação da Expressão Gênica / Transcriptoma Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Cancer Res Assunto da revista: NEOPLASIAS Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Singapura

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Protocolos de Quimioterapia Combinada Antineoplásica / Perfilação da Expressão Gênica / Transcriptoma Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Cancer Res Assunto da revista: NEOPLASIAS Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Singapura