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Elastic Staining on Paraffin-embedded Slides of pT3N0M0 Gastric Cancer Tissue

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Prognostic analysis of stage III gastric cancer after curative surgery according to the newest TNM classification

J Wei¹, T Yao¹, Y Wang¹

¹Department of Surgical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233000, Anhui Province, China.

Clinical & Translational Oncology : Official Publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico

|July 4, 2018

Abstract

Aim:

To study the prognostic factors of gastric cancer (GC) patients who were classified with stage III disease according to the newest TNM classification.

Methods:

This study retrospectively enrolled 279 patients who underwent radical gastrectomy from January 2012 to December 2014 at our hospital and who were diagnosed with stage III GC according to the new 8th edition of the TNM classification. The patient data that were collected included age, sex, pathological parameters, survival, lymph node ratio, neo-adjuvant chemotherapy with oxaliplatin and S-1, and operation type. The characteristics, survival, and prognostic factors of the patients were analyzed by univariate and multivariate analyses.

Results:

The median OS of the patients after curative surgery was 19 months, and the 3-year survival rate (3-YSR) was 25.3%. A univariate analysis showed that tumor location (P = 0.01), neo-adjuvant chemotherapy (P = 0.005), pathological T stage (P = 0.002), pathological N stage (P < 0.001), lymph node ratio (LNR) (P < 0.001), and operation type (P = 0.032) were significantly associated with overall survival. A multivariate analysis revealed that neo-adjuvant chemotherapy (P = 0.009), pathological T stage (P = 0.012), and LNR (P < 0.001) were independent prognostic factors.

Conclusions:

Neo-adjuvant chemotherapy, pathological T stage, and LNR were independent prognostic factors for the overall survival of patients with stage III GC. The neo-adjuvant chemotherapy with oxaliplatin and S-1 can be used for the patients to improve their survival.

Keywords:

Gastric cancer Independent prognostic factor Multivariate analysis Prognosis Survival rate

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