Artikel: Diagnostic value of peripheral blood immune profiling in colorectal cancer.
Annals of surgical treatment and research
2018 Band 94, Heft 6, Seite(n) 312–321
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.!## ...
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 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. |
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Sprache | Englisch |
Erscheinungsdatum | 2018-05-29 |
Erscheinungsland | Korea (South) |
Dokumenttyp | Journal Article |
ZDB-ID | 3012234-X |
ISSN | 2288-6796 ; 2288-6575 |
ISSN (online) | 2288-6796 |
ISSN | 2288-6575 |
DOI | 10.4174/astr.2018.94.6.312 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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