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A Novel Immune Marker Model Predicts Oncological Outcomes of Patients with Colorectal Cancer.
Chen, Yufeng; Yuan, Ruixue; Wu, Xianrui; He, Xiaosheng; Zeng, Yang; Fan, Xinjuan; Wang, Lei; Wang, Jianping; Lan, Ping; Wu, Xiaojian.
Afiliación
  • Chen Y; Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Yuan R; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Wu X; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • He X; Guangdong Institute of Gastroenterology, Guangzhou, China.
  • Zeng Y; Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Fan X; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Wang L; Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Wang J; Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Lan P; Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Wu X; Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ann Surg Oncol ; 23(3): 826-32, 2016 Mar.
Article en En | MEDLINE | ID: mdl-26581202
ABSTRACT

BACKGROUND:

The purpose of this study was to develop an in situ immune marker model to predict postoperative oncological outcomes in patients with colorectal cancer (CRC).

METHODS:

Immunohistochemistry for 13 immune cell markers was performed on tumor tissue microarrays from 300 CRC patients who underwent curative resection from January 2000 to January 2006. Genetic algorithm was applied for the construction of an in situ immune marker model.

RESULTS:

The infiltration of CD3+ cells, CD45RO+ cells, and FOXP3+ cells, but not the infiltration of Tryptase+ cells, in the tumor was significantly associated with better clinical outcome in overall survival (OS) and disease-free survival (DFS) of CRC patients, as assessed by univariate analysis (P < 0.05). Based on the genetic algorithms, a total of 6 markers, including CD3, CD45RO, IL17, CD15, Tryptase, and FOXP3, were selected to construct an immune marker model. Our model was identified to have an independent predictive capability for both OS and DFS in Cox multivariable model (P < 0.001). This was further confirmed by the ROC analysis (area under curve OS, 0.669; DFS, 0.684).

CONCLUSIONS:

The in situ immune marker model constructed in this study provides a novel approach to identify CRC patients who were at an increased risk for poor oncological outcomes.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Biomarcadores de Tumor / Inmunidad Celular / Recurrencia Local de Neoplasia Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Ann Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2016 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Biomarcadores de Tumor / Inmunidad Celular / Recurrencia Local de Neoplasia Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Ann Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2016 Tipo del documento: Article País de afiliación: China