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Modification of the TNM Staging System for Stage II/III Gastric Cancer Based on a Prognostic Single Patient Classifier Algorithm

  • Choi, Yoon Young (Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine) ;
  • Jang, Eunji (MediBio-Informatics Research Center, Novomics Co., Ltd.) ;
  • Seo, Won Jun (Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine) ;
  • Son, Taeil (Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine) ;
  • Kim, Hyoung-Il (Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine) ;
  • Kim, Hyeseon (MediBio-Informatics Research Center, Novomics Co., Ltd.) ;
  • Hyung, Woo Jin (Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine) ;
  • Huh, Yong-Min (Yonsei Biomedical Research Institute, Yonsei University Health System, Yonsei University College of Medicine) ;
  • Noh, Sung Hoon (Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine) ;
  • Cheong, Jae-Ho (Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine)
  • 투고 : 2018.04.15
  • 심사 : 2018.05.15
  • 발행 : 2018.06.30

초록

Purpose: The modification of the cancer classification system aimed to improve the classical anatomy-based tumor, node, metastasis (TNM) staging by considering tumor biology, which is associated with patient prognosis, because such information provides additional precision and flexibility. Materials and Methods: We previously developed an mRNA expression-based single patient classifier (SPC) algorithm that could predict the prognosis of patients with stage II/III gastric cancer. We also validated its utilization in clinical settings. The prognostic single patient classifier (pSPC) differentiates based on 3 prognostic groups (low-, intermediate-, and high-risk), and these groups were considered as independent prognostic factors along with TNM stages. We evaluated whether the modified TNM staging system based on the pSPC has a better prognostic performance than the TNM 8th edition staging system. The data of 652 patients who underwent gastrectomy with curative intent for gastric cancer between 2000 and 2004 were evaluated. Furthermore, 2 other cohorts (n=307 and 625) from a previous study were assessed. Thus, 1,584 patients were included in the analysis. To modify the TNM staging system, one-grade down-staging was applied to low-risk patients according to the pSPC in the TNM 8th edition staging system; for intermediate- and high-risk groups, the modified TNM and TNM 8th edition staging systems were identical. Results: Among the 1,584 patients, 187 (11.8%), 664 (41.9%), and 733 (46.3%) were classified into the low-, intermediate-, and high-risk groups, respectively, according to the pSPC. pSPC prognoses and survival curves of the overall population were well stratified, and the TNM stage-adjusted hazard ratios of the intermediate- and high-risk groups were 1.96 (95% confidence interval [CI], 1.41-2.72; P<0.001) and 2.54 (95% CI, 1.84-3.50; P<0.001), respectively. Using Harrell's C-index, the prognostic performance of the modified TNM system was evaluated, and the results showed that its prognostic performance was better than that of the TNM 8th edition staging system in terms of overall survival (0.635 vs. 0.620, P<0.001). Conclusions: The pSPC-modified TNM staging is an alternative staging system for stage II/III gastric cancer.

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과제정보

연구 과제 주관 기관 : Yonsei University College of Medicine

참고문헌

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  3. Clinical Implementation of Precision Medicine in Gastric Cancer vol.19, pp.3, 2018, https://doi.org/10.5230/jgc.2019.19.e25
  4. Clinical Implications of Microsatellite Instability in Early Gastric Cancer vol.19, pp.4, 2018, https://doi.org/10.5230/jgc.2019.19.e38
  5. Emerging precision therapies for gastric cancer vol.5, pp.4, 2018, https://doi.org/10.1080/23808993.2020.1760089
  6. Neoadjuvant and adjuvant multimodality therapies in resectable esophagogastric adenocarcinoma vol.22, pp.11, 2018, https://doi.org/10.1080/14656566.2021.1900823