Skip to main content

Advertisement

Log in

Albumin-to-fibrinogen ratio is an independent prognostic parameter in de novo non-M3 acute myeloid leukemia

  • Research
  • Published:
Clinical and Experimental Medicine Aims and scope Submit manuscript

Abstract

Inflammation and nutrition related proteins participate in the development of acute myeloid leukemia (AML). It has been reported that the albumin-to-fibrinogen ratio (AFR) could serve as a prognostic indicator in patients with malignancy, but the precise relevance of AML is unclear. This study aimed to evaluate the effect of AFR on survival prognosis in patients with AML. We analyzed 227 patients newly diagnosed with non-M3 AML. AFR was calculated as albumin divided by fibrinogen. Based on the cutoff point from X-tile program, patients were divided into AFR-high (38.8%) and AFR-low (61.2%) groups. AFR-low group showed a poorer complete remission rate (P < 0.001) and median time to relapse (P = 0.026), while the mortality was higher (P = 0.009) than AFR-high ones. According to the log-rank test, AFR-low group had shorter OS (P < 0.001) and DFS (P = 0.034). Multivariate analysis identified AFR, ELN risk, bone marrow transplant, and hemoglobin as independent prognostic variables associated with OS. A visualized nomogram for predicting OS was performed. The C-index (0.75), calibration plots, and decision curve analyses of new model showed better discrimination, calibration, and net benefits than the ELN risk model. The time-dependent receiver operating characteristic (ROC) curve of 1-, 2-, and 3-year also functioned well (AUC, 0.81, 0.93 and 0.90, respectively). Our study provided a comprehensive view of AFR which could be an independent prognostic indicator in AML patients. The prognostic model utilized readily available information from ordinary clinical practice to improve predictive performance, identify risks, and assist in therapeutic decision-making.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Ganzel C, Manola J, Douer D, et al. Extramedullary disease in adult acute myeloid leukemia is common but lacks independent significance: analysis of patients in ecog-acrin cancer research group trials, 1980–2008. J Clin Oncol. 2016;29(34):3544–53. https://doi.org/10.1200/JCO.2016.67.5892.

    Article  Google Scholar 

  2. Short NJ, Rytting ME, Cortes JE. Acute myeloid leukaemia. Lancet. 2018;10147(392):593–606. https://doi.org/10.1016/S0140-6736(18)31041-9.

    Article  Google Scholar 

  3. Zeng A, Bansal S, Jin L, et al. A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia. Nat Med. 2022;6(28):1212–23. https://doi.org/10.1038/s41591-022-01819-x.

    Article  CAS  Google Scholar 

  4. Chen C, Liang C, Wang S, et al. Expression patterns of immune checkpoints in acute myeloid leukemia. J Hematol Oncol. 2020;1(13):28. https://doi.org/10.1186/s13045-020-00853-x.

    Article  CAS  Google Scholar 

  5. Itzykson R, Duployez N, Fasan A, et al. Clonal interference of signaling mutations worsens prognosis in core-binding factor acute myeloid leukemia. Blood. 2018;2(132):187–96. https://doi.org/10.1182/blood-2018-03-837781.

    Article  CAS  Google Scholar 

  6. Loftus TJ, Brown MP, Slish JH, Rosenthal MD. Serum levels of prealbumin and albumin for preoperative risk stratification. Nutr Clin Pract. 2019;3(34):340–8. https://doi.org/10.1002/ncp.10271.

    Article  Google Scholar 

  7. Gupta D, Lis CG. Pretreatment serum albumin as a predictor of cancer survival: a systematic review of the epidemiological literature. Nutr J. 2010;9:69. https://doi.org/10.1186/1475-2891-9-69.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Wang Y, Chen W, Hu C, et al. Albumin and fibrinogen combined prognostic grade predicts prognosis of patients with prostate cancer. J Cancer. 2017;19(8):3992–4001. https://doi.org/10.7150/jca.21061.

    Article  CAS  Google Scholar 

  9. Miura K, Hamanaka K, Koizumi T, et al. Clinical significance of preoperative serum albumin level for prognosis in surgically resected patients with non-small cell lung cancer: comparative study of normal lung, emphysema, and pulmonary fibrosis. Lung Cancer. 2017;111:88–95. https://doi.org/10.1016/j.lungcan.2017.07.003.

    Article  PubMed  Google Scholar 

  10. Wierda WG, O’Brien S, Wang X, et al. Prognostic nomogram and index for overall survival in previously untreated patients with chronic lymphocytic leukemia. Blood. 2007;11(109):4679–85. https://doi.org/10.1182/blood-2005-12-051458.

    Article  CAS  Google Scholar 

  11. Levis A, Ficara F, Marmont F, De Crescenzo A, Resegotti L. Prognostic significance of serum albumin in chronic lymphocytic leukemia. Haematologica. 1991;2(76):113–9.

    Google Scholar 

  12. Tennent GA, Brennan SO, Stangou AJ, et al. Human plasma fibrinogen is synthesized in the liver. Blood. 2007;5(109):1971–4. https://doi.org/10.1182/blood-2006-08-040956.

    Article  CAS  Google Scholar 

  13. Zhang Z, Zhang R, Qi J, et al. The prognostic value of plasma fibrinogen level in patients with acute myeloid leukemia: a systematic review and meta-analysis. Leuk Lymphoma. 2020;11(61):2682–91. https://doi.org/10.1080/10428194.2020.1780587.

    Article  CAS  Google Scholar 

  14. Lv GY, Yu Y, An L, Sun XD, Sun DW. Preoperative plasma fibrinogen is associated with poor prognosis in esophageal carcinoma: a meta-analysis. Clin Transl Oncol. 2018;7(20):853–61. https://doi.org/10.1007/s12094-017-1794-z.

    Article  CAS  Google Scholar 

  15. Wang H, Zhao J, Zhang M, et al. The combination of plasma fibrinogen and neutrophil lymphocyte ratio (f-nlr) is a predictive factor in patients with resectable non small cell lung cancer. J Cell Physiol. 2018;5(233):4216–24. https://doi.org/10.1002/jcp.26239.

    Article  CAS  Google Scholar 

  16. Son HJ, Park JW, Chang HJ, et al. Preoperative plasma hyperfibrinogenemia is predictive of poor prognosis in patients with nonmetastatic colon cancer. Ann Surg Oncol. 2013;9(20):2908–13. https://doi.org/10.1245/s10434-013-2968-8.

    Article  Google Scholar 

  17. Balkwill F, Mantovani A. Inflammation and cancer: back to virchow? Lancet. 2001;9255(357):539–45. https://doi.org/10.1016/S0140-6736(00)04046-0.

    Article  Google Scholar 

  18. Zhang Y, Xiao G. Prognostic significance of the ratio of fibrinogen and albumin in human malignancies: a meta-analysis. Cancer Manag Res. 2019;11:3381–93. https://doi.org/10.2147/CMAR.S198419.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Claps F, Rai S, Mir MC, et al. Prognostic value of preoperative albumin-to-fibrinogen ratio (afr) in patients with bladder cancer treated with radical cystectomy. Urol Oncol. 2021;12(39):835–9. https://doi.org/10.1016/j.urolonc.2021.04.026.

    Article  CAS  Google Scholar 

  20. Ma, C.; Liu, Q.; Li, C.; et al. Novel blood indicators of progression and prognosis in renal cell carcinoma: red cell distribution width-to-lymphocyte ratio and albumin-to-fibrinogen ratio. J Oncol 20202020), 2895150. https://doi.org/10.1155/2020/2895150.

  21. Zou YX, Qiao J, Zhu HY, et al. Albumin-to-fibrinogen ratio as an independent prognostic parameter in untreated chronic lymphocytic leukemia: a retrospective study of 191 cases. Cancer Res Treat. 2019;2(51):664–71. https://doi.org/10.4143/crt.2018.358.

    Article  CAS  Google Scholar 

  22. Yu W, Ye Z, Fang X, Jiang X, Jiang Y. Preoperative albumin-to-fibrinogen ratio predicts chemotherapy resistance and prognosis in patients with advanced epithelial ovarian cancer. J Ovarian Res. 2019;1(12):88. https://doi.org/10.1186/s13048-019-0563-8.

    Article  CAS  Google Scholar 

  23. Li S, Jiang Y, Lin J, et al. Albumin-to-fibrinogen ratio as a promising biomarker to predict clinical outcome of non-small cell lung cancer individuals. Cancer Med. 2018;4(7):1221–31. https://doi.org/10.1002/cam4.1428.

    Article  CAS  Google Scholar 

  24. Vardiman JW, Thiele J, Arber DA, et al. The 2008 revision of the world health organization (who) classification of myeloid neoplasms and acute leukemia: rationale and important changes. Blood. 2009;5(114):937–51. https://doi.org/10.1182/blood-2009-03-209262.

    Article  CAS  Google Scholar 

  25. Cook R, Cook D, Tilley J, Lee K, Marshall J. Multiple organ dysfunction: baseline and serial component scores. Crit Care Med. 2001;11(29):2046–50. https://doi.org/10.1097/00003246-200111000-00002.

    Article  Google Scholar 

  26. Döhner H, Estey E, Grimwade D, et al. Diagnosis and management of aml in adults: 2017 eln recommendations from an international expert panel. Blood. 2017;4(129):424–47. https://doi.org/10.1182/blood-2016-08-733196.

    Article  CAS  Google Scholar 

  27. Cheson BD, Bennett JM, Kopecky KJ, et al. Revised recommendations of the international working group for diagnosis, standardization of response criteria, treatment outcomes, and reporting standards for therapeutic trials in acute myeloid leukemia. J Clin Oncol. 2003;24(21):4642–9. https://doi.org/10.1200/JCO.2003.04.036.

    Article  Google Scholar 

  28. Camp RL, Dolled-Filhart M, Rimm DL. X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res. 2004;21(10):7252–9. https://doi.org/10.1158/1078-0432.CCR-04-0713.

    Article  Google Scholar 

  29. Balachandran VP, Gonen M, Smith JJ, Dematteo RP. Nomograms in oncology: more than meets the eye. Lancet Oncol. 2015;4(16):e173–80. https://doi.org/10.1016/S1470-2045(14)71116-7.

    Article  Google Scholar 

  30. Fitzgerald M, Saville BR, Lewis RJ. Decision curve analysis. JAMA. 2015;4(313):409–10. https://doi.org/10.1001/jama.2015.37.

    Article  Google Scholar 

  31. Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006;6(26):565–74. https://doi.org/10.1177/0272989X06295361.

    Article  Google Scholar 

  32. Narayanan D, Weinberg OK. How i investigate acute myeloid leukemia. Int J Lab Hematol. 2020;1(42):3–15. https://doi.org/10.1111/ijlh.13135.

    Article  Google Scholar 

  33. Short NJ, Konopleva M, Kadia TM, et al. Advances in the treatment of acute myeloid leukemia: new drugs and new challenges. Cancer Discov. 2020;4(10):506–25. https://doi.org/10.1158/2159-8290.CD-19-1011.

    Article  Google Scholar 

  34. Sun DW, An L, Lv GY. Albumin-fibrinogen ratio and fibrinogen-prealbumin ratio as promising prognostic markers for cancers: an updated meta-analysis. World J Surg Oncol. 2020;1(18):9. https://doi.org/10.1186/s12957-020-1786-2.

    Article  Google Scholar 

  35. Akimoto M, Sakurai A, Nishiyama-Fujita Y, et al. The prognostic value of the fibrinogen-albumin ratio index in patients with myelodysplastic syndrome and acute myeloid leukemia with myelodysplasia-related changes treated with azacitidine. Ann Hematol. 2021;4(100):953–7. https://doi.org/10.1007/s00277-021-04440-z.

    Article  CAS  Google Scholar 

  36. Moons KG, Altman DG, Reitsma JB, et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (tripod): explanation and elaboration. Ann Intern Med. 2015;1(162):W1–73. https://doi.org/10.7326/M14-0698.

    Article  Google Scholar 

  37. Talati C, Dhulipala VC, Extermann MT, et al. Comparisons of commonly used front-line regimens on survival outcomes in patients aged 70 years and older with acute myeloid leukemia. Haematologica. 2020;2(105):398–406. https://doi.org/10.3324/haematol.2018.208637.

    Article  Google Scholar 

  38. Fenwarth L, Thomas X, de Botton S, et al. A personalized approach to guide allogeneic stem cell transplantation in younger adults with acute myeloid leukemia. Blood. 2021;4(137):524–32. https://doi.org/10.1182/blood.2020005524.

    Article  CAS  Google Scholar 

  39. Binder S, Luciano M, Horejs-Hoeck J. The cytokine network in acute myeloid leukemia (aml): a focus on pro- and anti-inflammatory mediators. Cytokine Growth Factor Rev. 2018;43:8–15. https://doi.org/10.1016/j.cytogfr.2018.08.004.

    Article  CAS  PubMed  Google Scholar 

  40. Sanjabi S, Zenewicz LA, Kamanaka M, Flavell RA. Anti-inflammatory and pro-inflammatory roles of tgf-beta, il-10, and il-22 in immunity and autoimmunity. Curr Opin Pharmacol. 2009;4(9):447–53. https://doi.org/10.1016/j.coph.2009.04.008.

    Article  CAS  Google Scholar 

  41. Jones SA, Jenkins BJ. Recent insights into targeting the il-6 cytokine family in inflammatory diseases and cancer. Nat Rev Immunol. 2018;12(18):773–89. https://doi.org/10.1038/s41577-018-0066-7.

    Article  CAS  Google Scholar 

  42. Krejci P, Faitova J, Laurell H, Hampl A, Dvorak P. Fgf-2 expression and its action in human leukemia and lymphoma cell lines. Leukemia. 2003;4(17):818–20. https://doi.org/10.1038/sj.leu.2402861.

    Article  CAS  Google Scholar 

  43. Kołodziejczyk J, Ponczek MB. The role of fibrinogen, fibrin and fibrin (ogen) degradation products (fdps) in tumor progression. Contemp Oncol (Pozn). 2013;2(17):113–9. https://doi.org/10.5114/wo.2013.34611.

    Article  CAS  Google Scholar 

  44. Ernst E, Resch KL. Fibrinogen as a cardiovascular risk factor: a meta-analysis and review of the literature. Ann Intern Med. 1993;12(118):956–63. https://doi.org/10.7326/0003-4819-118-12-199306150-00008.

    Article  Google Scholar 

  45. Kunutsor SK, Kurl S, Zaccardi F, Laukkanen JA. Baseline and long-term fibrinogen levels and risk of sudden cardiac death: a new prospective study and meta-analysis. Atherosclerosis. 2016;245:171–80. https://doi.org/10.1016/j.atherosclerosis.2015.12.020.

    Article  CAS  PubMed  Google Scholar 

  46. Thompson SG, Kienast J, Pyke SD, Haverkate F, van de Loo JC. Hemostatic factors and the risk of myocardial infarction or sudden death in patients with angina pectoris. European concerted action on thrombosis and disabilities angina pectoris study group. N Engl J Med. 1995;10(332):635–41. https://doi.org/10.1056/NEJM199503093321003.

    Article  Google Scholar 

  47. Dai K, Zhang Q, Li Y, et al. Plasma fibrinogen levels correlate with prognosis and treatment outcome in patients with non-m3 acute myeloid leukemia. Leuk Lymphoma. 2019;6(60):1503–11. https://doi.org/10.1080/10428194.2018.1535116.

    Article  CAS  Google Scholar 

  48. Álvaro SE, Garrido SM, Rey FL, et al. Nutritional risk and malnutrition rates at diagnosis of cancer in patients treated in outpatient settings: early intervention protocol. Nutrition. 2019;57:148–53. https://doi.org/10.1016/j.nut.2018.05.021.

    Article  Google Scholar 

  49. Hoogenboezem EN, Duvall CL. Harnessing albumin as a carrier for cancer therapies. Adv Drug Deliv Rev. 2018;130:73–89. https://doi.org/10.1016/j.addr.2018.07.011.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

None.

Funding

This work was supported by grant from National Natural Science Foundation of China (No. 82000169 and No. 82370174), and the Natural Science Foundation of Chongqing (cstc2020jcyj-msxmX1058, cstc2020jcyj-msxmX0369).

Author information

Authors and Affiliations

Authors

Contributions

YD and SX designed the study. YD and XQ were responsible for data collection and management, statistical analysis and interpretation, literature research, and manuscript writing; YL assisted in statistical analysis; YS and JW were responsible for data collection; CL, YH, QL, GW and XZ participated in discussion; and SX supervised data analysis and manuscript preparation.

Corresponding author

Correspondence to Shuangnian Xu.

Ethics declarations

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ding, Y., Qi, X., Li, Y. et al. Albumin-to-fibrinogen ratio is an independent prognostic parameter in de novo non-M3 acute myeloid leukemia. Clin Exp Med 23, 4597–4608 (2023). https://doi.org/10.1007/s10238-023-01241-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10238-023-01241-8

Keywords

Navigation