Literature DB >> 34365541

Clinical biomarkers in adjuvant chemotherapy for gastric cancer after D2 dissection by a pooled analysis of individual patient data from large randomized controlled trials.

Akira Tsuburaya1,2, Jia Guan3, Kazuhiro Yoshida4, Michiya Kobayashi5, Shigefumi Yoshino6, Kazuaki Tanabe7, Takaki Yoshikawa8, Takashi Oshima8, Yumi Miyashita9, Junichi Sakamoto10, Shiro Tanaka3.   

Abstract

BACKGROUND: Adjuvant therapy for gastric cancer is a standard among the world with no regimen selection criteria. Also, prognostic factors except for tumor staging have not been established. We aimed to identify prognostic and predictive markers for gastric cancer adjuvant therapy from large randomized controlled trials with standard lymph node dissection.
METHODS: Three studies: ACTS-GC, CLASSIC, and SAMIT were found and selected for a pooled analysis, following PRISMA guideline. The integrity of individual participant data (IPD) was verified in the eligible 3527 patients registered, and fixed-effect model was used. The primary endpoint was relapse-free survival (RFS) and the secondary endpoint was overall survival (OS).
RESULTS: Age was a significant prognostic factor in addition to tumor stages both in "surgery alone" and "adjuvant" groups. Adjuvant therapy was effective for every TN stage; however, it tended to be more effective in T1-2 than in T3-4. Also, it was more effective in low- or middle-BMI than in high-BMI group with Hazard ratio [HR]s: 0.58, 0.58, and 1.05, respectively. Capecitabine plus oxaliplatin (CAPOX) was more effective than S-1 for T1-2, N2-3, and differentiated type with HRs between 0.59 and 0.70, but with no difference among TNM stages. Combining histology to TN; the HRs in differentiated T1-2 N1-3 groups were between 0.29 and 0.45. For T3-4 N0-1 group, S-1 was likely to be effective, not significant.
CONCLUSIONS: Age is a significant prognostic factor both in surgery alone and adjuvant group. CAPOX is more effective for differentiated T1-2 tumors with lymph node metastasis.
© 2021. The International Gastric Cancer Association and The Japanese Gastric Cancer Association.

Entities:  

Keywords:  Adjuvant chemotherapy; Clinical biomarker; Gastric cancer; Meta-analysis

Mesh:

Substances:

Year:  2021        PMID: 34365541     DOI: 10.1007/s10120-021-01228-y

Source DB:  PubMed          Journal:  Gastric Cancer        ISSN: 1436-3291            Impact factor:   7.701


  2 in total

Review 1.  [Adjuvant chemotherapy using S-1 for curatively resected gastric cancer-the nationwide clinical trial].

Authors:  Mitsuru Sasako; Makoto Saka; Takeo Fukagawa; Hitoshi Katai; Takeshi Sano
Journal:  Gan To Kagaku Ryoho       Date:  2006-06

2.  [Effect of enteral nutrition enriched with eicosapentaenoic acid on body weight loss and compliance with S-1 adjuvant chemotherapy after gastric cancer surgery].

Authors:  Toru Aoyama; Tsutomu Hayashi; Hirohito Fujikawa; Takashi Ogata; Haruhiko Cho; Hiroo Wada; Yuichi Kitani; Norio Yukawa; Takashi Oshima; Yasushi Rino; Yukihiro Ozawa; Munetaka Masuda; Takaki Yoshikawa
Journal:  Gan To Kagaku Ryoho       Date:  2013-11
  2 in total
  3 in total

1.  Usefulness of an S-1 dosage formula: an exploratory analysis of randomized clinical trial (JCOG1001).

Authors:  Takeshi Kawakami; Junki Mizusawa; Hiroko Hasegawa; Hiroshi Imazeki; Kazuki Kano; Yuya Sato; Satoru Iwasa; Shuji Takiguchi; Yukinori Kurokawa; Yuichiro Doki; Narikazu Boku; Takaki Yoshikawa; Masanori Terashima
Journal:  Gastric Cancer       Date:  2022-06-29       Impact factor: 7.701

2.  Tumor-infiltrating CD226+CD8+ T cells are associated with postoperative prognosis and adjuvant chemotherapeutic benefits in gastric cancer patients.

Authors:  Yu Zhang; Zhen-Xiong Zhao; Jian-Peng Gao; Ya-Kai Huang; Hua Huang
Journal:  J Cancer Res Clin Oncol       Date:  2022-09-15       Impact factor: 4.322

3.  Establishing a cancer driver gene signature-based risk model for predicting the prognoses of gastric cancer patients.

Authors:  Jun Chen; Chao Zhou; Ying Liu
Journal:  Aging (Albany NY)       Date:  2022-03-14       Impact factor: 5.682

  3 in total

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