Complex Analysis of Morphophysiological, Biochemical, and Cytohistological Changes in Peripheral Blood of Patients with Breast Cancer
Downloads
Breast cancer is one of the most common oncological diseases
among women and is characterized by high mortality rates. There is an
increasing need for non-invasive, repeatable, and cost-effective diagnostic
methods for early detection and prognosis assessment. Peripheral blood
serves as a sensitive biological medium reflecting systemic
morphophysiological, biochemical, and immunological changes associated
with tumor progression. The present study aimed at a comprehensive
evaluation of morphophysiological, biochemical, and cytohistological
changes in the peripheral blood of patients with breast cancer. The study
involved 200 histologically confirmed breast cancer patients (stages I–IV)
and 150 healthy control subjects. Hematological, biochemical, and
cytohistological parameters were analyzed using modern laboratory
techniques and multivariate statistical modeling. The results revealed
decreased erythrocyte indices, increased RDW, neutrophilia, lymphopenia,
and thrombocytosis in patients. Biochemically, significant increases in CRP,
LDH, and oxidative stress markers were observed, which were directly
correlated with disease stage. Cytohistological examinations showed
erythrocyte anisopoikilocytosis, nuclear atypia of leukocytes, and enhanced
lymphocyte apoptosis. These findings indicate that peripheral blood–based
biomarkers have high diagnostic and prognostic value.
[1] H. Sung, J. Ferlay, R. L. Siegel, M. Laversanne, I. Soerjomataram, A. Jemal, and F. Bray, “Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries,” CA: A Cancer Journal for Clinicians, vol. 71, no. 3, pp. 209–249, 2021, doi:10.3322/caac.21660.
[2] L. A. Torre, F. Islami, R. L. Siegel, E. M. Ward, and A. Jemal, “Global cancer in women: Burden and trends,” Cancer Epidemiology, Biomarkers & Prevention, vol. 26, no. 4, pp. 444–457, 2017, doi:10.1158/1055-9965.EPI-16-0858.
[3] A. F. Lazarev, N. V. Pankratova, and E. V. Kolesnikova, “Targeted diagnosis of breast cancer based on complex analysis of risk factors,” Russian Journal of Oncology, vol. 26, no. 3, pp. 45–53, 2021.
[4] M. S. Jaman, M. Rahman, M. R. Karim, et al., “Alterations of hematological parameters in breast cancer patients,” BMC Cancer, vol. 20, p. 1236, 2020, doi:10.1186/s12885-020-07653-7.
[5] A. J. Templeton, M. G. McNamara, B. Šeruga, et al., “Prognostic role of neutrophil-to-lymphocyte ratio in solid tumors: A systematic review and meta-analysis,” Journal of the National Cancer Institute, vol. 106, no. 6, p. dju124, 2014, doi:10.1093/jnci/dju124.
[6] J. L. Ethier, D. Desautels, A. Templeton, et al., “Prognostic role of platelet count in patients with breast cancer: A systematic review and meta-analysis,” Breast Cancer Research and Treatment, vol. 164, no. 3, pp. 481–488, 2017, doi:10.1007/s10549-017-4270-5.
[7] J. M. Gwak, M. H. Jang, D. I. Kim, et al., “Prognostic value of hematologic parameters in breast cancer patients treated with neoadjuvant chemotherapy,” Breast Cancer Research and Treatment, vol. 150, no. 3, pp. 629–638, 2015, doi:10.1007/s10549-015-3348-5.
[8] D. Hanahan and R. A. Weinberg, “Hallmarks of cancer: The next generation,” Cell, vol. 144, no. 5, pp. 646–674, 2011, doi:10.1016/j.cell.2011.02.013.
[9] O. Warburg, “On the origin of cancer cells,” Science, vol. 123, no. 3191, pp. 309–314, 1956, doi:10.1126/science.123.3191.309.
[10] F. Petrelli and S. Barni, “Correlation of elevated lactate dehydrogenase with poor prognosis in breast cancer,” Medicine (Baltimore), vol. 94, no. 39, p. e1490, 2015, doi:10.1097/MD.0000000000001490.
[11] K. Heikkilä, S. Ebrahim, and D. A. Lawlor, “Systematic review of the association between circulating C-reactive protein and cancer,” Journal of Epidemiology & Community Health, vol. 61, no. 9, pp. 824–833, 2007, doi:10.1136/jech.2006.051292.
[12] D. C. McMillan, “The systemic inflammation-based Glasgow Prognostic Score: A decade of experience in patients with cancer,” Cancer Treatment Reviews, vol. 39, no. 5, pp. 534–540, 2013, doi:10.1016/j.ctrv.2012.08.003.
[13] D. Gupta and C. G. Lis, “Pretreatment serum albumin as a predictor of cancer survival: A systematic review of the epidemiological literature,” Nutrition Journal, vol. 9, p. 69, 2010, doi:10.1186/1475-2891-9-69.
[14] M. Valko, C. J. Rhodes, J. Moncol, M. Izakovic, and M. Mazur, “Free radicals, metals and antioxidants in oxidative stress-induced cancer,” Chemical-Biological Interactions, vol. 160, no. 1, pp. 1–40, 2006, doi:10.1016/j.cbi.2005.12.009.
[15] P. Karihtala and Y. Soini, “Reactive oxygen species and antioxidant mechanisms in human tissues and their relation to malignancies,” APMIS, vol. 115, no. 2, pp. 81–103, 2007, doi:10.1111/j.1600-0463.2007.apm_514.x.
[16] S. S. Pinho and C. A. Reis, “Glycosylation in cancer: Mechanisms and clinical implications,” Nature Reviews Cancer, vol. 15, no. 9, pp. 540–555, 2015, doi:10.1038/nrc3982.
[17] M. J. Duffy, S. Shering, F. Sherry, E. McDermott, and N. O’Higgins, “CA 15-3: A prognostic marker in breast cancer,” International Journal of Biological Markers, vol. 15, no. 4, pp. 330–333, 2000.
[18] C. Alix-Panabières and K. Pantel, “Liquid biopsy: From discovery to clinical application,” Cancer Discovery, vol. 11, no. 4, pp. 858–873, 2021, doi:10.1158/2159-8290.CD-20-1311.
[19] J. C. M. Wan, C. Massie, J. Garcia-Corbacho, et al., “Liquid biopsies come of age: Towards implementation of circulating tumour DNA,” Nature Reviews Cancer, vol. 17, no. 4, pp. 223–238, 2017, doi:10.1038/nrc.2017.7.
[20] R. D. Beger, W. Dunn, M. A. Schmidt, et al., “Metabolomics enables precision medicine: ‘A White Paper, Community Perspective’,” Metabolomics, vol. 12, p. 149, 2016.
Copyright (c) 2026 American Journal of Biomedicine and Pharmacy

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

