지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한외과학회 Annals of Surgical Treatment and Research Annals of Surgical Treatment and Research Vol.94 No.6
- 발행연도
- 2018.6
- 수록면
- 312 - 321 (10page)
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초록· 키워드
오류제보하기
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<SUP><SUP>+</SUP></SUP>%, NK%, CD4<SUP>+</SUP>CD279<SUP>+</SUP>%, CD4<SUP>+</SUP>CD25<SUP>+</SUP>%, CD4<SUP>+</SUP>CD152<SUP>+</SUP>%, CD3<SUP>+</SUP>CD366<SUP>+</SUP>%, CD3<SUP>+</SUP>CD272<SUP>+</SUP>%, CD3<SUP>+</SUP>CD223<SUP>+</SUP>%, CD158b<SUP>-</SUP>CD314<SUP>+</SUP>CD3<SUP>-</SUP>CD56<SUP>+</SUP>%, 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.
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<SUP><SUP>+</SUP></SUP>%, NK%, CD4<SUP>+</SUP>CD279<SUP>+</SUP>%, CD4<SUP>+</SUP>CD25<SUP>+</SUP>%, CD4<SUP>+</SUP>CD152<SUP>+</SUP>%, CD3<SUP>+</SUP>CD366<SUP>+</SUP>%, CD3<SUP>+</SUP>CD272<SUP>+</SUP>%, CD3<SUP>+</SUP>CD223<SUP>+</SUP>%, CD158b<SUP>-</SUP>CD314<SUP>+</SUP>CD3<SUP>-</SUP>CD56<SUP>+</SUP>%, 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.
목차
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES
참고문헌 (30)
참고문헌 신청
[학술지(정기간행물)] - Siegel R / 2014 / Colorectal cancer statistics, 2014 / CA Cancer J Clin 64 : 104 ~ 117
[학술지(정기간행물)] - Crowley E / 2013 / Liquid biopsy: monitoring cancer-genetics in the blood / Nat Rev Clin Oncol 10 : 472 ~ 484
[학술지(정기간행물)] - Wargo JA / 2016 / Monitoring immune responses in the tumor microenvironment / Curr Opin Immunol 41 : 23 ~ 31
[학술지(정기간행물)] - Gutkin DW / 2014 / Clinical evaluation of systemic and local immune responses in cancer: time for integration / Cancer Immunol Immunother 63 : 45 ~ 57
[학술지(정기간행물)] - Stroncek DF / 2017 / Systematic evaluation of immune regulation and modulation / J Immunother Cancer 5 : 21 ~
[학술지(정기간행물)] - Crowley E / 2013 / Liquid biopsy: monitoring cancer-genetics in the blood / Nat Rev Clin Oncol 10 : 472 ~ 484
[학술지(정기간행물)] - Wargo JA / 2016 / Monitoring immune responses in the tumor microenvironment / Curr Opin Immunol 41 : 23 ~ 31
[학술지(정기간행물)] - Gutkin DW / 2014 / Clinical evaluation of systemic and local immune responses in cancer: time for integration / Cancer Immunol Immunother 63 : 45 ~ 57
[학술지(정기간행물)] - Stroncek DF / 2017 / Systematic evaluation of immune regulation and modulation / J Immunother Cancer 5 : 21 ~
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