Diagnostic value of peripheral blood immune profiling in colorectal cancer.
10.4174/astr.2018.94.6.312
- Author:
Joungbum CHOI
1
;
Hyung Gun MAENG
;
Su Jin LEE
;
Young Joo KIM
;
Da Woon KIM
;
Ha Na LEE
;
Ji Hyeon NAMGUNG
;
Hyun Mee OH
;
Tae Joo KIM
;
Ji Eun JEONG
;
Sang Jean PARK
;
Yong Man CHOI
;
Yong Won KANG
;
Seo Gue YOON
;
Jong Kyun LEE
Author Information
1. Immunology Laboratory, Seoul Song Do Colorectal Hospital, Seoul, Korea. leejksd@gmail.com
- Publication Type:Original Article
- Keywords:
Colorectal neoplasms;
Early diagnosis of cancer;
Blood cells;
Flow cytometry
- MeSH:
Blood Cells;
Colorectal Neoplasms*;
CTLA-4 Antigen;
Diagnosis;
Early Detection of Cancer;
Flow Cytometry;
Hematology;
Humans;
Immunologic Factors;
Leukocytes;
Logistic Models;
Lymphocyte Activation;
Lymphocytes;
Methods;
Neutrophils;
Prospective Studies;
Retrospective Studies;
Sensitivity and Specificity;
T-Lymphocytes;
T-Lymphocytes, Regulatory
- From:Annals of Surgical Treatment and Research
2018;94(6):312-321
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: Little is known about the clinical value of peripheral blood immune profiling. Here, we aimed to identify colorectal cancer (CRC)-related peripheral blood immune cells and develop liquid biopsy-based immune profiling models for CRC diagnosis. METHODS: Peripheral blood from 131 preoperative patients with CRC and 174 healthy controls was analyzed by flow cytometry and automated hematology. CRC-related immune factors were identified by comparing the mean values of immune cell percentages and counts. Subsequently, CRC diagnostic algorithms were constructed using binary logistic regression. RESULTS: Significant differences were observed in percentages and counts of white blood cells, lymphocytes, neutrophils, regulatory T cells, and myeloid-derived suppressor cells (MDSCs) of patients and controls. The neutrophil/lymphocyte and Th1/Th2 ratios were also significantly different. Likewise, the percentages and counts of peripheral blood programed death 1, cytotoxic T lymphocyte antigen 4, B-and T-lymphocyte attenuator, and lymphocyte activation gene-3 were higher in patients with CRC. The binary logistic regression model included 12 variables, age, CD3+%, NK%, CD4+CD279+%, CD4+CD25+%, CD4+CD152+%, CD3+CD366+%, CD3+CD272+%, CD3+CD223+%, CD158b−CD314+CD3−CD56+%, Th2%, and MDSCs cells/µL, for the prediction of cancer. Results of retrospective and prospective evaluation of the area under the curve, sensitivity, and specificity were 0.980 and 0.940, 91.53% and 85.80%, and 93.50% and 86.20%, respectively. CONCLUSION: Peripheral blood immune profiling may be valuable in evaluating the immunity of CRC patients. Our liquid biopsy-based immune diagnostic method and its algorithms may serve as a novel tool for CRC diagnosis. Future largescale studies are needed for better characterization of its diagnostic value and potential for clinical application.
