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Структурно-функциональные параметры эритроцитов как предикторы неблагоприятного исхода у пациентов с колоректальным раком - Журнал Терапевтический архив №8 Вопросы лечения 2025
Структурно-функциональные параметры эритроцитов как предикторы неблагоприятного исхода у пациентов с колоректальным раком
Кручинина М.В., Осипенко М.Ф., Громов А.А., Стариков А.В. Структурно-функциональные параметры эритроцитов как предикторы неблагоприятного исхода у пациентов с колоректальным раком. Терапевтический архив. 2025;97(8):668–679. DOI: 10.26442/00403660.2025.08.203336
© ООО «КОНСИЛИУМ МЕДИКУМ», 2025 г.
© ООО «КОНСИЛИУМ МЕДИКУМ», 2025 г.
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Аннотация
Цель. Выявить особенности жирных кислот в мембранах эритроцитов и сыворотке крови, электрические и вязкоупругие параметры эритроцитов для оценки их способности быть предикторами неблагоприятного исхода у пациентов с колоректальным раком (КРР).
Материалы и методы. Обследованы 112 человек – средний возраст 63,1±9,5 года (62 мужчины, 50 женщин) с КРР I–IV стадий. Пациенты разделены на 2 группы в зависимости от исхода заболевания через 6 лет наблюдения: 1-я группа – со стабилизацией заболевания (n=55), 2-я группа (n=57) – с неблагоприятным исходом. Исследование жирных кислот (ЖК) состава мембран эритроцитов, сыворотки крови проведено с помощью газовой хроматографии/масс-спектрометрии – системы на основе трех квадруполей Agilent 7000B (США). Электрические, вязкоупругие параметры эритроцитов изучены с использованием метода диэлектрофореза.
Результаты. Неблагоприятный исход у пациентов с КРР ассоциирован с повышенными уровнями докозапентаеновой С22:5n-3 (p=0,0003), докозагексаеновой С22:6n-3 (p=0,001), докозатетраеновой С22:4n-6 (p=0,004), суммарного содержания омега-3 полиненасыщенных жирных кислот (ПНЖК) (p=0,0004) в мембранах эритроцитов, эйкозадиеновой кислоты (C20:2n-6) в мембранах эритроцитов (p=0,03) и сыворотке крови (p=0,01) и, напротив, сниженными уровнями соотношений насыщенные жирные кислоты (НЖК) / ПНЖК (p=0,004), НЖК / ненасыщенные жирные кислоты (ННЖК) (p=0,01) и концентрации миристиновой ЖК С14:0 (p=0,03) в мембранах эритроцитов, а также рядом изменений электрических, вязкоупругих параметров эритроцитов: с повышенным гемолизом эритроцитов на высоких частотах (106 Гц – p=0,0006 и 5×105 Гц – p=0,046), повышенными индексами агрегации на низких частотах (105 Гц – p=0,04 и 5×104 Гц – p=0,047), а также смещением равновесной частоты в высокочастотный диапазон (p=0,036). У пациентов с I–II стадиями КРР наибольшую значимость для дифференцирования исходов заболевания имели омега-6 ПНЖК – эйкозадиеновая кислота C20:2n-6 (p=0,006), докозатетраеновая кислота С22:4n-6 (p=0,012), несколько меньшую – омега-3 ПНЖК – суммарное содержание их в мембранах эритроцитов (p=0,0129), докозагексаеновая кислота С22:6 n-3 (p=0,0169), суммарное содержание (С20:5n-3 + С22:6n-3) в мембранах эритроцитов (p=0,0198), докозапентаеновая кислота С22:5n-3 (p=0,022). Как и в общей группе пациентов с КРР, степень гемолиза на частоте 106 Гц была предиктором неблагоприятного исхода у лиц с ранними стадиями онкологического процесса. При проведении ROC-анализа выявлен высокий потенциал пальмитиновой кислоты в мембранах эритроцитов для предикции неблагоприятного исхода КРР (AUC 0,786, 95% доверительный интервал 0,638–0,901, чувствительность 84,4%, специфичность 68,2%). Диагностическая модель, включающая 5 параметров – эритроцитарные уровни С16:0, НЖК/ПНЖК, ННЖК, ПНЖК и сывороточный уровень С20:2n-6, – имела AUC 0,663 (95% доверительный интервал 0,483–0,801) с наиболее высокой чувствительностью (85,2%), но невысокой специфичностью (60,1%) для прогноза неблагоприятного исхода при КРР.
Заключение. ЖК мембран эритроцитов, сыворотки крови, электрические, вязкоупругие параметры эритроцитов следует рассматривать как перспективные биомаркеры-предикторы у пациентов с КРР, требующие дальнейшего изучения.
Ключевые слова: колоректальный рак, прогноз, жирные кислоты, сыворотка, эритроциты, диэлектрофорез
Materials and methods. 112 people with an average age of 63.1±9.5 years (62 men, 50 women) with CRC of stages I–IV were examined. The patients were divided into 2 groups depending on the outcome of the disease after 6 years of follow-up: group 1 – with stabilization of the disease (n=55), group 2 (n=57) – with an unfavorable outcome. The FA composition of erythrocyte membranes and blood serum was studied using gas chromatography/mass spectrometry, a system based on three Agilent 7000B quadrupoles (USA). The electrical and viscoelastic parameters of erythrocytes were studied using the method of dielectrophoresis.
Results. An unfavorable outcome in patients with CRC is associated with elevated levels of docosapentaenoic acid (C22:5n-3) (p=0.0003), docosahexaenoic acid (C22:6n-3) (p=0.001), docosathetraenoic acid (C22:4n-6) (p=0.004), and total omega-3 polyunsaturated fatty acids (PUFA) (p=0.0004) in erythrocyte membranes, eicosadienoic acid (C20:2 n-6) in erythrocyte membranes (p=0.03) and blood serum (p=0.01), and, conversely, reduced levels of ratios saturated fatty acids (SFA)/PUFA (p=0.004), SFA / unsaturated fatty acids (USFA) (p=0.01) and concentrations of myristic FA (C14:0) (p=0.03) in erythrocyte membranes, as well as with a number of changes in electrical, viscoelastic parameters of red blood cells: with increased hemolysis of red blood cells at high frequencies (106 Hz – p=0.0006 and 5×105 Hz – p=0.046), increased aggregation indices at low frequencies (105 Hz – p=0.04 and 5×104 Hz – p=0.047), as well as a shift in the crossover frequency to the high frequency range (p=0.036). In patients with stages 1–2 of CRC, omega-6 PUFAs, eicosadienoic acid C20:2n-6 (p=0.006), docosatetraenoic acid C22:4n-6 (p=0.012), were of the greatest importance for differentiating disease outcomes, while total content omega-3 PUFAs in erythrocyte membranes (p=0.0129), docosahexaenoic acid C22:6 n-3 (p=0.0169), total content (C20:5n-3+C22:6n-3) in erythrocyte membranes (p=0.0198), docosapentaenoic acid C22:5 n-3 (p=0.022) were slightly less important. As in the general group of patients with CRC, the degree of hemolysis at a frequency of 106 Hz was a predictor of an unfavorable outcome in people with early stages of the oncological process. ROC analysis revealed a high potential of palmitic acid in erythrocyte membranes to predict an unfavorable CRC outcome (AUC 0.786, 95% confidence interval 0.638–0.901, sensitivity 84.4%, specificity 68.2%). The diagnostic model, which included five parameters – erythrocyte levels C16:0, ratio SFA/PUFA, total USFA, total PUFA, and serum levels C20:2n-6, had an AUC of 0.663 (95% confidence interval 0.483–0.801) with the highest sensitivity of 85.2%, but not high specificity of 60.1% for predicting an unfavorable outcome in CRC.
Conclusion. Fatty acids of erythrocyte membranes, blood serum, electrical, and viscoelastic parameters of erythrocytes should be considered as promising biomarker predictors in patients with CRC that require further study.
Keywords: colorectal cancer, prognosis, fatty acids, serum, erythrocytes, dielectrophoresis
Материалы и методы. Обследованы 112 человек – средний возраст 63,1±9,5 года (62 мужчины, 50 женщин) с КРР I–IV стадий. Пациенты разделены на 2 группы в зависимости от исхода заболевания через 6 лет наблюдения: 1-я группа – со стабилизацией заболевания (n=55), 2-я группа (n=57) – с неблагоприятным исходом. Исследование жирных кислот (ЖК) состава мембран эритроцитов, сыворотки крови проведено с помощью газовой хроматографии/масс-спектрометрии – системы на основе трех квадруполей Agilent 7000B (США). Электрические, вязкоупругие параметры эритроцитов изучены с использованием метода диэлектрофореза.
Результаты. Неблагоприятный исход у пациентов с КРР ассоциирован с повышенными уровнями докозапентаеновой С22:5n-3 (p=0,0003), докозагексаеновой С22:6n-3 (p=0,001), докозатетраеновой С22:4n-6 (p=0,004), суммарного содержания омега-3 полиненасыщенных жирных кислот (ПНЖК) (p=0,0004) в мембранах эритроцитов, эйкозадиеновой кислоты (C20:2n-6) в мембранах эритроцитов (p=0,03) и сыворотке крови (p=0,01) и, напротив, сниженными уровнями соотношений насыщенные жирные кислоты (НЖК) / ПНЖК (p=0,004), НЖК / ненасыщенные жирные кислоты (ННЖК) (p=0,01) и концентрации миристиновой ЖК С14:0 (p=0,03) в мембранах эритроцитов, а также рядом изменений электрических, вязкоупругих параметров эритроцитов: с повышенным гемолизом эритроцитов на высоких частотах (106 Гц – p=0,0006 и 5×105 Гц – p=0,046), повышенными индексами агрегации на низких частотах (105 Гц – p=0,04 и 5×104 Гц – p=0,047), а также смещением равновесной частоты в высокочастотный диапазон (p=0,036). У пациентов с I–II стадиями КРР наибольшую значимость для дифференцирования исходов заболевания имели омега-6 ПНЖК – эйкозадиеновая кислота C20:2n-6 (p=0,006), докозатетраеновая кислота С22:4n-6 (p=0,012), несколько меньшую – омега-3 ПНЖК – суммарное содержание их в мембранах эритроцитов (p=0,0129), докозагексаеновая кислота С22:6 n-3 (p=0,0169), суммарное содержание (С20:5n-3 + С22:6n-3) в мембранах эритроцитов (p=0,0198), докозапентаеновая кислота С22:5n-3 (p=0,022). Как и в общей группе пациентов с КРР, степень гемолиза на частоте 106 Гц была предиктором неблагоприятного исхода у лиц с ранними стадиями онкологического процесса. При проведении ROC-анализа выявлен высокий потенциал пальмитиновой кислоты в мембранах эритроцитов для предикции неблагоприятного исхода КРР (AUC 0,786, 95% доверительный интервал 0,638–0,901, чувствительность 84,4%, специфичность 68,2%). Диагностическая модель, включающая 5 параметров – эритроцитарные уровни С16:0, НЖК/ПНЖК, ННЖК, ПНЖК и сывороточный уровень С20:2n-6, – имела AUC 0,663 (95% доверительный интервал 0,483–0,801) с наиболее высокой чувствительностью (85,2%), но невысокой специфичностью (60,1%) для прогноза неблагоприятного исхода при КРР.
Заключение. ЖК мембран эритроцитов, сыворотки крови, электрические, вязкоупругие параметры эритроцитов следует рассматривать как перспективные биомаркеры-предикторы у пациентов с КРР, требующие дальнейшего изучения.
Ключевые слова: колоректальный рак, прогноз, жирные кислоты, сыворотка, эритроциты, диэлектрофорез
________________________________________________
Materials and methods. 112 people with an average age of 63.1±9.5 years (62 men, 50 women) with CRC of stages I–IV were examined. The patients were divided into 2 groups depending on the outcome of the disease after 6 years of follow-up: group 1 – with stabilization of the disease (n=55), group 2 (n=57) – with an unfavorable outcome. The FA composition of erythrocyte membranes and blood serum was studied using gas chromatography/mass spectrometry, a system based on three Agilent 7000B quadrupoles (USA). The electrical and viscoelastic parameters of erythrocytes were studied using the method of dielectrophoresis.
Results. An unfavorable outcome in patients with CRC is associated with elevated levels of docosapentaenoic acid (C22:5n-3) (p=0.0003), docosahexaenoic acid (C22:6n-3) (p=0.001), docosathetraenoic acid (C22:4n-6) (p=0.004), and total omega-3 polyunsaturated fatty acids (PUFA) (p=0.0004) in erythrocyte membranes, eicosadienoic acid (C20:2 n-6) in erythrocyte membranes (p=0.03) and blood serum (p=0.01), and, conversely, reduced levels of ratios saturated fatty acids (SFA)/PUFA (p=0.004), SFA / unsaturated fatty acids (USFA) (p=0.01) and concentrations of myristic FA (C14:0) (p=0.03) in erythrocyte membranes, as well as with a number of changes in electrical, viscoelastic parameters of red blood cells: with increased hemolysis of red blood cells at high frequencies (106 Hz – p=0.0006 and 5×105 Hz – p=0.046), increased aggregation indices at low frequencies (105 Hz – p=0.04 and 5×104 Hz – p=0.047), as well as a shift in the crossover frequency to the high frequency range (p=0.036). In patients with stages 1–2 of CRC, omega-6 PUFAs, eicosadienoic acid C20:2n-6 (p=0.006), docosatetraenoic acid C22:4n-6 (p=0.012), were of the greatest importance for differentiating disease outcomes, while total content omega-3 PUFAs in erythrocyte membranes (p=0.0129), docosahexaenoic acid C22:6 n-3 (p=0.0169), total content (C20:5n-3+C22:6n-3) in erythrocyte membranes (p=0.0198), docosapentaenoic acid C22:5 n-3 (p=0.022) were slightly less important. As in the general group of patients with CRC, the degree of hemolysis at a frequency of 106 Hz was a predictor of an unfavorable outcome in people with early stages of the oncological process. ROC analysis revealed a high potential of palmitic acid in erythrocyte membranes to predict an unfavorable CRC outcome (AUC 0.786, 95% confidence interval 0.638–0.901, sensitivity 84.4%, specificity 68.2%). The diagnostic model, which included five parameters – erythrocyte levels C16:0, ratio SFA/PUFA, total USFA, total PUFA, and serum levels C20:2n-6, had an AUC of 0.663 (95% confidence interval 0.483–0.801) with the highest sensitivity of 85.2%, but not high specificity of 60.1% for predicting an unfavorable outcome in CRC.
Conclusion. Fatty acids of erythrocyte membranes, blood serum, electrical, and viscoelastic parameters of erythrocytes should be considered as promising biomarker predictors in patients with CRC that require further study.
Keywords: colorectal cancer, prognosis, fatty acids, serum, erythrocytes, dielectrophoresis
Полный текст
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29. Zhao G, Tan Y, Cardenas H, et al. Ovarian cancer cell fate regulation by the dynamics between saturated and unsaturated fatty acids. Proc Natl Acad Sci USA. 2022;119(41):e2203480119. DOI:10.1073/pnas.2203480119
30. Igal RA. Stearoyl-CoA desaturase-1: a novel key player in the mechanisms of cell proliferation, programmed cell death and transformation to cancer. Carcinogenesis. 2010;31(9):1509-15. DOI:10.1093/carcin/bgq131
31. Gradilla AC, Sanchez-Hernandez D, Brunt L, Scholpp S. From top to bottom: Cell polarity in Hedgehog and Wnt trafficking. BMC Biol. 2018;16(1):37. DOI:10.1186/s12915-018-0511-x
32. Doll S, Freitas FP, Shah R, et al. FSP1 is a glutathione-independent ferroptosis suppressor. Nature. 2019;575(7784):693-8. DOI:10.1038/s41586-019-1707-0
33. Aglago EK, Murphy N, Huybrechts I, et al. Dietary intake and plasma phospholipid concentrations of saturated, monounsaturated and trans fatty acids and colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition cohort. Int J Cancer. 2021. DOI:10.1002/ijc.33615
34. Du W, Hua F, Li X, et al. Loss of Optineurin Drives Cancer Immune Evasion via Palmitoylation-Dependent IFNGR1 Lysosomal Sorting and Degradation. Cancer Discov. 2021;11(7):1826-43. DOI:10.1158/2159-8290.CD-20-1571
35. Zhang M, Zhou L, Xu Y, et al. A STAT3 palmitoylation cycle promotes TH17 differentiation and colitis. Nature. 2020;586(7829):434-9. DOI:10.1038/s41586-020-2799-2
36. Zhang Q, Yang X, Wu J, et al. Reprogramming of palmitic acid induced by dephosphorylation of ACOX1 promotes β-catenin palmitoylation to drive colorectal cancer progression. Cell Discov. 2023;9(1):26. DOI:10.1038/s41421-022-00515-x
37. De Araujo Junior RF, Eich C, Jorquera C, et al. Ceramide and palmitic acid inhibit macrophage-mediated epithelial-mesenchymal transition in colorectal cancer. Mol Cell Biochem. 2020;468(1-2):153-68. DOI:10.1007/s11010-020-03719-5
38. Yu G, Luo H, Zhang N, et al. Loss of p53 Sensitizes Cells to Palmitic Acid-Induced Apoptosis by Reactive Oxygen Species Accumulation. Int J Mol Sci. 2019;20(24):6268. DOI:10.3390/ijms20246268
39. Deng S, Wang J, Zou F, et al. Palmitic Acid Accumulation Activates Fibroblasts and Promotes Matrix Stiffness in Colorectal Cancer. Cancer Res. 2025;85(10):1784-802. DOI:10.1158/0008-5472.CAN-24-2892
40. Cockbain AJ, Toogood GJ, Hull MA. Omega-3 polyunsaturated fatty acids for the treatment and prevention of colorectal cancer. Gut. 2012;61(1):135-49. DOI:10.1136/gut.2010.233718
41. Calder PC. Marine omega-3 fatty acids and inflammatory processes: Effects, mechanisms and clinical relevance. Biochim Biophys Acta. 2015;1851(4):469-84. DOI:10.1016/j.bbalip.2014.08.010
42. D'Angelo S, Motti ML, Meccariello R. ω-3 and ω-6 Polyunsaturated Fatty Acids, Obesity and Cancer. Nutrients. 2020;12(9):2751. DOI:10.3390/nu12092751
43. Calder PC. Omega-3 fatty acids and inflammatory processes: from molecules to man. Biochem Soc Trans. 2017;45(5):1105-15. DOI:10.1042/BST20160474
44. Volpato M, Hull MA. Omega-3 polyunsaturated fatty acids as adjuvant therapy of colorectal cancer. Cancer Metastasis Rev. 2018;37(2-3):545-55. DOI:10.1007/s10555-018-9744-y
45. Mayer K, Seeger W. Fish oil in critical illness. Curr Opin Clin Nutr Metab Care. 2008;11(2):121-7. DOI:10.1097/MCO.0b013e3282f4cdc6
46. Singer P, Shapiro H, Theilla M, et al. Anti-inflammatory properties of omega-3 fatty acids in critical illness: novel mechanisms and an integrative perspective. Intensive Care Med. 2008;34(9):1580-92. DOI:10.1007/s00134-008-1142-4
47. Guo Y, Ma B, Li X, et al. n-3 PUFA can reduce IL-6 and TNF levels in patients with cancer. Br J Nutr. 2023;129(1):54-65. DOI:10.1017/S0007114522000575
48. Kavyani Z, Musazadeh V, Fathi S, et al. Efficacy of the omega-3 fatty acids supplementation on inflammatory biomarkers: An umbrella meta-analysis. Int Immunopharmacol. 2022;111:109104. DOI:10.1016/j.intimp.2022.109104
49. Chiang N, Serhan CN. Structural elucidation and physiologic functions of specialized pro-resolving mediators and their receptors. Mol Aspects Med. 2017;58:114-29. DOI:10.1016/j.mam.2017.03.005
50. Lam CN, Watt AE, Isenring EA, et al. The effect of oral omega-3 polyunsaturated fatty acid supplementation on muscle maintenance and quality of life in patients with cancer: A systematic review and meta-analysis. Clin Nutr. 2021;40(6):3815-26. DOI:10.1016/j.clnu.2021.04.031
51. Lee SY, Lee J, Park HM, et al. Impact of Preoperative Immunonutrition on the Outcomes of Colon Cancer Surgery: Results from a Randomized Controlled Trial. Ann Surg. 2023;277(3):381-6. DOI:10.1097/SLA.0000000000005140
52. Pradelli L, Mayer K, Klek S, et al. Omega-3 fatty acids in parenteral nutrition – A systematic review with network meta-analysis on clinical outcomes. Clin Nutr. 2023;42(4):590-9. DOI:10.1016/j.clnu.2023.02.008
53. Bakker N, van den Helder RS, Stoutjesdijk E, et al. Effects of perioperative intravenous ω-3 fatty acids in colon cancer patients: a randomized, double-blind, placebo-controlled clinical trial. Am J Clin Nutr. 2020;111(2):385-95. DOI:10.1093/ajcn/nqz281
54. Hofmanová J, Slavík J, Ciganek M, et al. Complex Alterations of Fatty Acid Metabolism and Phospholipidome Uncovered in Isolated Colon Cancer Epithelial Cells. Int J Mol Sci. 2021;22(13):6650. DOI:10.3390/ijms22136650
55. Cottet V, Vaysse C, Scherrer ML, et al. Fatty acid composition of adipose tissue and colorectal cancer: a case-control study. Am J Clin Nutr. 2015;101(1):192-201. DOI:10.3945/ajcn.114.088948
56. Liu H, Chen J, Shao W, et al. Efficacy and safety of Omega-3 polyunsaturated fatty acids in adjuvant treatments for colorectal cancer: A meta-analysis of randomized controlled trials. Front Pharmacol. 2023;14:1004465. DOI:10.3389/fphar.2023.1004465
57. Yessoufou A, Plé A, Moutairou K, et al. Docosahexaenoic acid reduces suppressive and migratory functions of CD4+CD25+ regulatory T-cells. J Lipid Res. 2009;50(12):2377-88. DOI:10.1194/jlr.M900101-JLR200
58. Woodworth HL, McCaskey SJ, Duriancik DM, et al. Dietary fish oil alters T lymphocyte cell populations and exacerbates disease in a mouse model of inflammatory colitis. Cancer Res. 2010;70(20):7960-9. DOI:10.1158/0008-5472.CAN-10-1396
59. Wang D, Dubois RN. Eicosanoids and cancer. Nat Rev Cancer. 2010;10(3):181-93. DOI:10.1038/nrc2809
60. Il Lee S, Zuo X, Shureiqi I. 15-Lipoxygenase-1 as a tumor suppressor gene in colon cancer: is the verdict in? Cancer Metastasis Rev. 2011;30(3-4):481-91. DOI:10.1007/s10555-011-9321-0
61. Kim GY, Lee JW, Cho SH, et al. Role of the low-affinity leukotriene B4 receptor BLT2 in VEGF-induced angiogenesis. Arterioscler Thromb Vasc Biol. 2009;29(6):915-20. DOI:10.1161/ATVBAHA.109.185793
62. Ihara A, Wada K, Yoneda M, et al. Blockade of leukotriene B4 signaling pathway induces apoptosis and suppresses cell proliferation in colon cancer. J Pharmacol Sci. 2007;103(1):24-32. DOI:10.1254/jphs.fp0060651
63. Kundu JK, Surh YJ. Emerging avenues linking inflammation and cancer. Free Radic Biol Med. 2012;52(9):2013-37. DOI:10.1016/j.freeradbiomed.2012.02.035
64. Xia D, Wang D, Kim SH, et al. Prostaglandin E2 promotes intestinal tumor growth via DNA methylation. Nat Med. 2012;18(2):224-6. DOI:10.1038/nm.2608
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81. Xue X, Shah YM. Intestinal iron homeostasis and colon tumorigenesis. Nutrients. 2013;5(7):2333-51. DOI:10.3390/nu5072333
82. Kucharzewski M, Braziewicz J, Majewska U, Gózdz S. Iron concentrations in intestinal cancer tissue and in colon and rectum polyps. Biol Trace Elem Res. 2003;95(1):19-28. DOI:10.1385/BTER:95:1:19
83. McSorley ST, Tham A, Steele CW, et al. Quantitative data on red cell measures of iron status and their relation to the magnitude of the systemic inflammatory response and survival in patients with colorectal cancer. Eur J Surg Oncol. 2019;45(7):1205-11. DOI:10.1016/j.ejso.2019.02.027
________________________________________________
2. Van der Geest LG, Lam-Boer J, Koopman M, et al. Nationwide trends in incidence, treatment and survival of colorectal cancer patients with synchronous metastases. Clin Exp Metastasis. 2015;32(5):457-65. DOI:10.1007/s10585-015-9719-0
3. White A, Joseph D, Rim SH, et al. Colon cancer survival in the United States by race and stage (2001-2009): Findings from the CONCORD-2 study. Cancer. 2017;123(Suppl. 24):5014-36. DOI:10.1002/cncr.31076
4. Zhang Y, Wang Y, Zhang B, et al. Methods and biomarkers for early detection, prediction, and diagnosis of colorectal cancer. Biomed Pharmacother. 2023;163:114786. DOI:10.1016/j.biopha.2023.114786
5. Gu J, Xiao Y, Shu D, et al. Metabolomics Analysis in Serum from Patients with Colorectal Polyp and Colorectal Cancer by 1H-NMR Spectrometry. Dis Markers. 2019;2019:3491852. DOI:10.1155/2019/3491852
6. Martín-Blázquez A, Díaz C, González-Flores E, et al. Untargeted LC-HRMS-based metabolomics to identify novel biomarkers of metastatic colorectal cancer. Sci Rep. 2019;9(1):20198. DOI:10.1038/s41598-019-55952-8
7. Santos CR, Schulze A. Lipid Metabolism in Cancer: Lipid Metabolism in Cancer. FEBS J. 2012;279(15):2610-23. DOI:10.1111/j.1742-4658.2012.08644.x
8. Del Solar V, Lizardo DY, Li N, et al. Differential Regulation of Specific Sphingolipids in Colon Cancer Cells during Staurosporine-Induced Apoptosis. Chem Biol. 2015;22:1662-70. DOI:10.1016/j.chembiol.2015.11.004
9. Sun H, Zhang L, Wang Z, et al. Single-cell transcriptome analysis indicates fatty acid metabolism-mediated metastasis and immunosuppression in male breast cancer. Nat Commun. 2023;14(1):5590. DOI:10.1038/s41467-023-41318-2
10. El Hindi K, Brachtendorf S, Hartel JC, et al. Hypoxia induced deregulation of sphingolipids in colon cancer is a prognostic marker for patient outcome. Biochim Biophys Acta Mol Basis Dis. 2024;1870(1):166906. DOI:10.1016/j.bbadis.2023.166906
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Авторы
М.В. Кручинина*1,2, М.Ф. Осипенко2, А.А. Громов1, А.В. Стариков3
1Научно-исследовательский институт терапии и профилактической медицины – филиал ФГБНУ «Федеральный исследовательский центр Институт цитологии и генетики» СО РАН, Новосибирск, Россия;
2ФГБОУ ВО «Новосибирский государственный медицинский университет» Минздрава России, Новосибирск, Россия;
3ГБУЗ НСО «Новосибирский областной онкологический диспансер», Новосибирск, Россия
*kruchmargo@yandex.ru
1Research Institute of Internal and Preventive Medicine, Novosibirsk, Russia;
2Novosibirsk State Medical University, Novosibirsk, Russia;
3Novosibirsk Regional Oncology Dispensary, Novosibirsk, Russia
*kruchmargo@yandex.ru
1Научно-исследовательский институт терапии и профилактической медицины – филиал ФГБНУ «Федеральный исследовательский центр Институт цитологии и генетики» СО РАН, Новосибирск, Россия;
2ФГБОУ ВО «Новосибирский государственный медицинский университет» Минздрава России, Новосибирск, Россия;
3ГБУЗ НСО «Новосибирский областной онкологический диспансер», Новосибирск, Россия
*kruchmargo@yandex.ru
________________________________________________
1Research Institute of Internal and Preventive Medicine, Novosibirsk, Russia;
2Novosibirsk State Medical University, Novosibirsk, Russia;
3Novosibirsk Regional Oncology Dispensary, Novosibirsk, Russia
*kruchmargo@yandex.ru
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