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Standardizing the classification of gastric cancer patients with limited and adequate number of retrieved lymph nodes: an externally validated approach using real-world data.
Wang, Wei; Yang, Yu-Jie; Zhang, Ri-Hong; Deng, Jing-Yu; Sun, Zhe; Seeruttun, Sharvesh Raj; Wang, Zhen-Ning; Xu, Hui-Mian; Liang, Han; Zhou, Zhi-Wei.
Afiliação
  • Wang W; Department of Gastric Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
  • Yang YJ; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.
  • Zhang RH; Department of Gastric Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
  • Deng JY; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.
  • Sun Z; Department of Gastric Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
  • Seeruttun SR; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.
  • Wang ZN; Department of Gastric Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300000, China.
  • Xu HM; Department of Surgical Oncology, the First Hospital of China Medical University, Shenyang, 110000, China.
  • Liang H; Department of Gastric Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
  • Zhou ZW; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.
Mil Med Res ; 9(1): 15, 2022 04 07.
Article em En | MEDLINE | ID: mdl-35387671
ABSTRACT

BACKGROUND:

Currently, there is no formal consensus regarding a standard classification for gastric cancer (GC) patients with < 16 retrieved lymph nodes (rLNs). Here, this study aimed to validate a practical lymph node (LN) staging strategy to homogenize the nodal classification of GC cohorts comprising of both < 16 (Limited set) and ≥ 16 (Adequate set) rLNs.

METHODS:

All patients in this study underwent R0 gastrectomy. The overall survival (OS) difference between the Limited and Adequate set from a large Chinese multicenter dataset was analyzed. Using the 8th American Joint Committee on Cancer (AJCC) pathological nodal classification (pN) for GC as base, a modified nodal classification (N') resembling similar analogy as the 8th AJCC pN classification was developed. The performance of the proposed and 8th AJCC GC subgroups was compared and validated using the Surveillance, Epidemiology, and End Results (SEER) dataset comprising of 10,208 multi-ethnic GC cases.

RESULTS:

Significant difference in OS between the Limited and Adequate set (corresponding N0-N3a) using the 8th AJCC system was observed but the OS of N0limited vs. N1adequate, N1limited vs. N2adequate, N2limited vs. N3aadequate, and N3alimited vs. N3badequate subgroups was almost similar in the Chinese dataset. Therefore, we formulated an N' classification whereby only the nodal subgroups of the Limited set, except for pT1N0M0 cases as they underwent less extensive surgeries (D1 or D1 + gastrectomy), were re-classified to one higher nodal subgroup, while those of the Adequate set remained unchanged (N'0 = N0adequate + pT1N0M0limited, N'1 = N1adequate + N0limited (excluding pT1N0M0limited), N'2 = N2adequate + N1limited, N'3a = N3aadequate + N2limited, and N'3b = N3badequate + N3alimited). This N' classification demonstrated less heterogeneity in OS between the Limited and Adequate subgroups. Further analyses demonstrated superior statistical performance of the pTN'M system over the 8th AJCC edition and was successfully validated using the SEER dataset.

CONCLUSION:

The proposed nodal staging strategy was successfully validated in large multi-ethnic GC datasets and represents a practical approach for homogenizing the classification of GC cohorts comprising of patients with < 16 and ≥ 16 rLNs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Mil Med Res Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Mil Med Res Ano de publicação: 2022 Tipo de documento: Article