Research Article
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Year 2025, Volume: 11 Issue: 4, 732 - 740, 04.07.2025
https://doi.org/10.18621/eurj.1625710

Abstract

References

  • 1. Celkan TT. What does a hemogram say to us? Turk Pediatri Ars. 2020;19;55(2):103-116. doi: 10.14744/TurkPediatriArs.2019.76301.
  • 2. George-Gay B, Parker K. Understanding the complete blood count with differential. J Perianesth Nurs. 2003;18(2):96-114; quiz 115-7. doi: 10.1053/jpan.2003.50013.
  • 3. Pepedil Tanrıkulu F, Yanardağ Açık D, Özdemir M. [The Distribution of Hematological Malignancies in Geriatric Patients: A Single Center Experience]. Ankara Eğt. Arş. Hast. Derg., 2021;54(2):254-258. doi: 10.20492/aeahtd.869284. [Article in Turkish]
  • 4. Keskin M, Burcak Polat S, Ateş I, et al. Are neutrophil-to-lymphocyte ratios and large unstained cells different in hospitalized COVID-19 PCR-positive patients with and without diabetes mellitus? Eur Rev Med Pharmacol Sci. 2022;26(16):5963-5970. doi: 10.26355/eurrev_202208_29537.
  • 5. Thirup P. LUC, what is that? Clin Chem. 1999;45(7):1100. doi: 10.1093/clinchem/45.7.1100.
  • 6. Merter M, Sahin U, Uysal S, Dalva K, Yuksel MK. Role of large unstained cells in predicting successful stem cell collection in autologous stem cell transplantation. Transfus Apher Sci. 2023;62(1):103517. doi: 10.1016/j.transci.2022.103517.
  • 7. Eren F, Kösem A, Oğuz Fırat E, Neşelioğlu S, Ateş İ, Erel O. Evaluation of Large Unstained Cells (LUC) and Nitric Oxide in Diabetes Mellitus. Ankara Med J. 2022;22(4):533-541. doi: 10.5505/amj.2022.65707.
  • 8. O'Malley KJ, Cook KF, Price MD, Wildes KR, Hurdle JF, Ashton CM. Measuring diagnoses: ICD code accuracy. Health Serv Res. 2005;40(5 Pt 2):1620-1639. doi: 10.1111/j.1475-6773.2005.00444.x.
  • 9. International Statistical Classification of Diseases and Related Health Problems 10th Revision 2019 [Available from: https://icd.who.int/browse10/2019/en.
  • 10. Harris N, Kunicka J, Kratz A. The ADVIA 2120 hematology system: flow cytometry-based analysis of blood and body fluids in the routine hematology laboratory. Lab Hematol. 2005;11(1):47-61. doi: 10.1532/LH96.04075.
  • 11. Drewinko B, Bollinger P, Brailas C, et al. Flow cytochemical patterns of white blood cells in human haematopoietic malignancies. I. Acute leukaemias. Br J Haematol. 1987;66(1):27-36. doi: 10.1111/j.1365-2141.1987.tb06886.x.
  • 12. Orazi A, Cattoretti G, Rilke F. The technicon H6000 analyzer discriminates chronic lymphocytic leukemia from other B-cell leukemias through automatic assessment of large unstained cells. Arch Pathol Lab Med. 1990;114(10):1021-1024.
  • 13. Rabizadeh E, Pickholtz I, Barak M, Isakov E, Zimra Y, Froom P. Acute leukemia detection rate by automated blood count parameters and peripheral smear review. Int J Lab Hematol. 2015;37(1):44-49. doi: 10.1111/ijlh.12225.
  • 14. Drewinko B, Bollinger P, Brailas C, Wyatt J, Simson E, Trujillo JM. Flow cytochemical patterns of white blood cells in human haematopoietic malignancies. II. Chronic leukaemias. Br J Haematol. 1987;67(2):157-165. doi: 10.1111/j.1365-2141.1987.tb02320.x.
  • 15. Lanza F, Moretti S, Latorraca A, Scapoli G, Rigolin F, Castoldi G. Flow cytochemical analysis of peripheral lymphocytes in chronic B-lymphocytic leukemia. Prognostic role of the blast count determined by the H*1 system and its correlation with morphologic features. Leuk Res. 1992;16(6-7):639-646. doi: 10.1016/0145-2126(92)90014-x.
  • 16. Drewinko B, Bollinger P, Brailas C, Wyatt J, Simson E, Trujillo JM. Flow cytochemical patterns of white blood cells in human hematopoietic malignancies: III. Miscellaneous hemopoietic diseases. Blood Cells. 1988;13(3):475-486.
  • 17. Orazi A, Milanesi B. The technicon H6000 automated hematology analyzer in the diagnosis and classification of the myelodysplastic syndromes. Haematologica. 1990;75(1):87-90.
  • 18. Bunyaratvej A, Boonkanta P, Nitiyanant P, Apibal S, Bhamarapravati N. Automated cytochemistry in non-Hodgkin's lymphoma: a new method for determination of cells from lymph node biopsy. Acta Haematol. 1986;75(4):199-202. doi: 10.1159/000206124.
  • 19. Vanker N, Ipp H. Large unstained cells: a potentially valuable parameter in the assessment of immune activation levels in HIV infection. Acta Haematol. 2014;131(4):208-212. doi: 10.1159/000355184.
  • 20. Vanker N, Ipp H. The use of the full blood count and differential parameters to assess immune activation levels in asymptomatic, untreated HIV infection. S Afr Med J. 2013;11;104(1):45-48. doi: 10.7196/samj.6983.
  • 21. Shin D, Lee MS, Kim DY, Lee MG, Kim DS. Increased large unstained cells value in varicella patients: A valuable parameter to aid rapid diagnosis of varicella infection. J Dermatol. 2015;42(8):795-799. doi: 10.1111/1346-8138.12902.
  • 22. Butthep P, Bunyaratvej A, Bhamarapravati N. Dengue virus and endothelial cell: a related phenomenon to thrombocytopenia and granulocytopenia in dengue hemorrhagic fever. Southeast Asian J Trop Med Public Health. 1993;24 Suppl 1:246-249.
  • 23. Nixon DF, Parsons AJ, Eglin RP. Routine full blood counts as indicators of acute viral infections. J Clin Pathol. 1987;40(6):673-675. doi: 10.1136/jcp.40.6.673.
  • 24. Bononi A, Lanza F, Ferrari L, et al. Predictive value of hematological and phenotypical parameters on postchemotherapy leukocyte recovery. Cytometry B Clin Cytom. 2009;76(5):328-333. doi: 10.1002/cyto.b.20476.

The utilization of the large unstained cell (LUC) parameter in lymphoid, haematopoietic and related tissue’s malignant neoplasms

Year 2025, Volume: 11 Issue: 4, 732 - 740, 04.07.2025
https://doi.org/10.18621/eurj.1625710

Abstract

Objectives: Large unstained cells (LUCs) are a differential count parameter reported by routine hematology analysis, and LUC percentages (LUC%) reflect active lymphocytes and peroxidase-negative cells. We aimed the evaluate the LUC% parameter in routine practice towards malignant neoplasms, stated or presumed to be primary, of lymphoid, haematopoietic, and related tissue.

Methods: LUC analysis was performed with Siemens ADVIA® 2120 Hematology System. Data were obtained from Ankara Bilkent City Hospital’s laboratory information system.

Results: A statistical difference in the LUC % data in the case of LUC % <4.5 and LUC % ≥4.5 among preliminary diagnoses was observed (P<0.001). According to the Kruskal-Wallis test, a statistical difference was observed between preliminary diagnosis and LUC % values (P<0.001). The One-way ANOVA test with Bonferroni correction was performed for post hoc multiple comparisons of the preliminary diagnosis among LUC%. LUC% was higher in Hodgkin Lymphoma patients than Myeloid leukaemia patients (P=0.002). LUC % was higher in the Lymphoid leukaemia patients than in the patients with Hodgkin lymphoma (P<0.001), Other and unspecified types of non-Hodgkin lymphoma (P<0.001), Multiple myeloma and malignant plasma cell neoplasms (P<0.001). LUC% was higher in patients with leukemia unspecified cell type than Hodgkin lymphoma (P<0.001), Follicular lymphoma (P<0.001), Non-follicular lymphoma (P<0.001), Mature T-Cell and Natural Killer Cell lymphomas (P<0.001), Other and unspecified types of non-Hodgkin lymphoma (P<0.001), Malignant immunoproliferative diseases (P<0.001), Multiple myeloma and malignant plasma cell neoplasms (P<0.001), Lymphoid leukaemia (P<0.001), Myeloid leukaemia (P<0.001), Other leukaemias of specified cell type patients (P<0.001).

Conclusions: The present study underscores the importance of LUC% in line with ICD-10 and may provide ideas for new research. Prospective studies including patient and control groups may be useful in assessing LUC%.

Ethical Statement

This study was approved by the Ankara City Hospital Clinical Research Ethics Committee No. 1 (Decision no. E1-20-481, date: 30.04.2020).

References

  • 1. Celkan TT. What does a hemogram say to us? Turk Pediatri Ars. 2020;19;55(2):103-116. doi: 10.14744/TurkPediatriArs.2019.76301.
  • 2. George-Gay B, Parker K. Understanding the complete blood count with differential. J Perianesth Nurs. 2003;18(2):96-114; quiz 115-7. doi: 10.1053/jpan.2003.50013.
  • 3. Pepedil Tanrıkulu F, Yanardağ Açık D, Özdemir M. [The Distribution of Hematological Malignancies in Geriatric Patients: A Single Center Experience]. Ankara Eğt. Arş. Hast. Derg., 2021;54(2):254-258. doi: 10.20492/aeahtd.869284. [Article in Turkish]
  • 4. Keskin M, Burcak Polat S, Ateş I, et al. Are neutrophil-to-lymphocyte ratios and large unstained cells different in hospitalized COVID-19 PCR-positive patients with and without diabetes mellitus? Eur Rev Med Pharmacol Sci. 2022;26(16):5963-5970. doi: 10.26355/eurrev_202208_29537.
  • 5. Thirup P. LUC, what is that? Clin Chem. 1999;45(7):1100. doi: 10.1093/clinchem/45.7.1100.
  • 6. Merter M, Sahin U, Uysal S, Dalva K, Yuksel MK. Role of large unstained cells in predicting successful stem cell collection in autologous stem cell transplantation. Transfus Apher Sci. 2023;62(1):103517. doi: 10.1016/j.transci.2022.103517.
  • 7. Eren F, Kösem A, Oğuz Fırat E, Neşelioğlu S, Ateş İ, Erel O. Evaluation of Large Unstained Cells (LUC) and Nitric Oxide in Diabetes Mellitus. Ankara Med J. 2022;22(4):533-541. doi: 10.5505/amj.2022.65707.
  • 8. O'Malley KJ, Cook KF, Price MD, Wildes KR, Hurdle JF, Ashton CM. Measuring diagnoses: ICD code accuracy. Health Serv Res. 2005;40(5 Pt 2):1620-1639. doi: 10.1111/j.1475-6773.2005.00444.x.
  • 9. International Statistical Classification of Diseases and Related Health Problems 10th Revision 2019 [Available from: https://icd.who.int/browse10/2019/en.
  • 10. Harris N, Kunicka J, Kratz A. The ADVIA 2120 hematology system: flow cytometry-based analysis of blood and body fluids in the routine hematology laboratory. Lab Hematol. 2005;11(1):47-61. doi: 10.1532/LH96.04075.
  • 11. Drewinko B, Bollinger P, Brailas C, et al. Flow cytochemical patterns of white blood cells in human haematopoietic malignancies. I. Acute leukaemias. Br J Haematol. 1987;66(1):27-36. doi: 10.1111/j.1365-2141.1987.tb06886.x.
  • 12. Orazi A, Cattoretti G, Rilke F. The technicon H6000 analyzer discriminates chronic lymphocytic leukemia from other B-cell leukemias through automatic assessment of large unstained cells. Arch Pathol Lab Med. 1990;114(10):1021-1024.
  • 13. Rabizadeh E, Pickholtz I, Barak M, Isakov E, Zimra Y, Froom P. Acute leukemia detection rate by automated blood count parameters and peripheral smear review. Int J Lab Hematol. 2015;37(1):44-49. doi: 10.1111/ijlh.12225.
  • 14. Drewinko B, Bollinger P, Brailas C, Wyatt J, Simson E, Trujillo JM. Flow cytochemical patterns of white blood cells in human haematopoietic malignancies. II. Chronic leukaemias. Br J Haematol. 1987;67(2):157-165. doi: 10.1111/j.1365-2141.1987.tb02320.x.
  • 15. Lanza F, Moretti S, Latorraca A, Scapoli G, Rigolin F, Castoldi G. Flow cytochemical analysis of peripheral lymphocytes in chronic B-lymphocytic leukemia. Prognostic role of the blast count determined by the H*1 system and its correlation with morphologic features. Leuk Res. 1992;16(6-7):639-646. doi: 10.1016/0145-2126(92)90014-x.
  • 16. Drewinko B, Bollinger P, Brailas C, Wyatt J, Simson E, Trujillo JM. Flow cytochemical patterns of white blood cells in human hematopoietic malignancies: III. Miscellaneous hemopoietic diseases. Blood Cells. 1988;13(3):475-486.
  • 17. Orazi A, Milanesi B. The technicon H6000 automated hematology analyzer in the diagnosis and classification of the myelodysplastic syndromes. Haematologica. 1990;75(1):87-90.
  • 18. Bunyaratvej A, Boonkanta P, Nitiyanant P, Apibal S, Bhamarapravati N. Automated cytochemistry in non-Hodgkin's lymphoma: a new method for determination of cells from lymph node biopsy. Acta Haematol. 1986;75(4):199-202. doi: 10.1159/000206124.
  • 19. Vanker N, Ipp H. Large unstained cells: a potentially valuable parameter in the assessment of immune activation levels in HIV infection. Acta Haematol. 2014;131(4):208-212. doi: 10.1159/000355184.
  • 20. Vanker N, Ipp H. The use of the full blood count and differential parameters to assess immune activation levels in asymptomatic, untreated HIV infection. S Afr Med J. 2013;11;104(1):45-48. doi: 10.7196/samj.6983.
  • 21. Shin D, Lee MS, Kim DY, Lee MG, Kim DS. Increased large unstained cells value in varicella patients: A valuable parameter to aid rapid diagnosis of varicella infection. J Dermatol. 2015;42(8):795-799. doi: 10.1111/1346-8138.12902.
  • 22. Butthep P, Bunyaratvej A, Bhamarapravati N. Dengue virus and endothelial cell: a related phenomenon to thrombocytopenia and granulocytopenia in dengue hemorrhagic fever. Southeast Asian J Trop Med Public Health. 1993;24 Suppl 1:246-249.
  • 23. Nixon DF, Parsons AJ, Eglin RP. Routine full blood counts as indicators of acute viral infections. J Clin Pathol. 1987;40(6):673-675. doi: 10.1136/jcp.40.6.673.
  • 24. Bononi A, Lanza F, Ferrari L, et al. Predictive value of hematological and phenotypical parameters on postchemotherapy leukocyte recovery. Cytometry B Clin Cytom. 2009;76(5):328-333. doi: 10.1002/cyto.b.20476.
There are 24 citations in total.

Details

Primary Language English
Subjects Clinical Oncology, Haematological Tumours, Cancer Diagnosis
Journal Section Original Articles
Authors

Gamze Gök 0000-0002-2804-5548

Serpil Erdoğan 0000-0002-4234-8094

Erbay Asutay 0000-0002-9334-793X

Gülsen Yılmaz 0000-0002-9630-3852

Özcan Erel 0000-0002-2996-3236

Fatma Meriç Yılmaz 0000-0002-8252-6975

Early Pub Date June 10, 2025
Publication Date July 4, 2025
Submission Date January 24, 2025
Acceptance Date June 1, 2025
Published in Issue Year 2025 Volume: 11 Issue: 4

Cite

AMA Gök G, Erdoğan S, Asutay E, Yılmaz G, Erel Ö, Yılmaz FM. The utilization of the large unstained cell (LUC) parameter in lymphoid, haematopoietic and related tissue’s malignant neoplasms. Eur Res J. July 2025;11(4):732-740. doi:10.18621/eurj.1625710

e-ISSN: 2149-3189 


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