Abstract
Extranodal natural killer/T-cell lymphoma (ENKTL) is an aggressive disorder with heterogeneous clinical characteristics and poor prognosis. The combined value of baseline serum albumin level and absolute peripheral lymphocyte count showed prognostic information in a variety of malignancies, but its evidence is limited in ENKTL. The purpose of this study is to evaluate the impact of prognostic nutritional index (PNI) in ENKTL, and to provide some nutritionally and immunologically relevant information for better risk stratification. We conducted a retrospective study in 533 patients newly diagnosed with ENKTL. The PNI was calculated as albumin (g/L) + 5 × lymphocyte count (109/L). The optimal cutoff values for serum albumin and lymphocyte count were 40.6 g/L and 1.18 × 109/L, respectively, and 47.3 for PNI. After a median follow-up of 70 months, the 5-year overall survival (OS) and progression-free survival (PFS) were 56.2% and 49.5%, respectively. Patients in low PNI group had more unfavorable clinical features, and tended to have worse 5-year OS and PFS compared with those in high PNI group. According PNI-associated prognostic score, patients were classified into different risk groups. Significant difference has been found in 5-year OS and PFS in different risk groups. When PNI and PNI-associated prognostic score were superimposed on the International Prognostic Index (IPI), prognostic index of natural killer lymphoma (PINK), or nomogram-revised risk index (NRI) categories, the PNI and PNI-associated prognostic score provided additional prognostic information. Therefore, PNI and PNI-associated prognostic score could be independent prognostic factors for ENKTL and may be useful for risk stratification and clinical decision-making.
This is a preview of subscription content, access via your institution.





Data availability
The original data involved in this research will be made practicable by the authors on reasonable requirement, without excessive reservation.
Code availability
SPSS version 26.0 software (IBM SPSS) and R software (version 4.0.5).
References
Lee J, Suh C, Park YH et al (2006) Extranodal natural killer T-cell lymphoma, nasal-type: a prognostic model from a retrospective multicenter study. J Clin Oncol 24:612–618
Bhatkule MA, Dhawle MS, Kumbhakarna NR et al (2014) Nasal natural killer/T cell lymphoma. Indian J Hematol Blood Transfus 30:S292–S293
Yamaguchi M, Suzuki R, Oguchi M et al (2017) Treatments and outcomes of patients with extranodal natural killer/T-cell lymphoma diagnosed between 2000 and 2013: a cooperative study in Japan. J Clin Oncol 35:32–39
Yang Y, Zhu Y, Cao JZ et al (2015) Risk-adapted therapy for early-stage extranodal nasal-type NK/T-cell lymphoma: analysis from a multicenter study. Blood 126:1424–1432
Kwong YL, Kim WS, Lim ST et al (2012) SMILE for natural killer/T-cell lymphoma: analysis of safety and efficacy from the Asia Lymphoma Study Group. Blood 120:2973–2980
Chim CS, Ma SY, Au WY et al (2004) Primary nasal natural killer cell lymphoma: long-term treatment outcome and relationship with the International Prognostic Index. Blood 103:216–221
You JY, Chi KH, Yang MH et al (2004) Radiation therapy versus chemotherapy as initial treatment for localized nasal natural killer (NK)/T-cell lymphoma: a single institute survey in Taiwan. Ann Oncol 15:618–625
Kim SJ, Yoon DH, Jaccard A et al (2016) A prognostic index for natural killer cell lymphoma after non-anthracycline-based treatment: a multicenter, retrospective analysis. Lancet Oncol 17:389–400
Chen SY, Yang Y, Qi SN et al (2021) Validation of nomogram-revised risk index and comparison with other models for extranodal nasal-type NK/T-cell lymphoma in the modern chemotherapy era: indication for prognostication and clinical decision-making. Leukemia 35(1):130–142
Xiong J, Cui BW, Wang N et al (2020) Genomic and Transcriptomic Characterization of Natural Killer T Cell Lymphoma. Cancer Cell 37(3):403-419.e6
Candido J, Hagemann T (2013) Cancer-related inflammation. J Clin Immunol 33(Suppl. 1):S79–S84
Mayne ST, Playdon MC, Rock CL (2016) Diet, nutrition, and cancer: past, present and Future. Nat Rev Clin Onco 13(8):504–515
Sun K, Chen S, Xu J et al (2014) The prognostic significance of the prognostic nutritional index in cancer: a systematic review and meta-analysis. J Cancer Res Clin Oncol 140(9):1537–1549
Yang Y, Gao P, Chen X et al (2016) Prognostic significance of preoperative prognostic nutritional index in colorectal cancer: results from a retrospective cohort study and a meta-analysis. Oncotarget 7(36):58543–58552
Yang Y, Gao P, Song Y et al (2016) The prognostic nutritional index is a predictive indicator of prognosis and postoperative complications in gastric cancer: a meta-analysis. Eur J Surg Oncol 42(8):1176–1182
Zhao Y, Xu P, Kang H et al (2016) Prognostic nutritional index as a prognostic biomarker for survival in digestive system carcinomas. Oncotarget 7(52):86573–86583
Chen P, Wang C, Cheng B et al (2017) Plasma fibrinogen and serum albumin levels (FA score) act as a promising prognostic indicator in non-small cell lung cancer. Oncotargets Ther 10:3107–3118
Luan C, Wang F, Wei N et al (2020) Prognostic nutritional index and the prognosis of diffuse large b-cell lymphoma: a meta-analysis. Cancer Cell Int 20:455
Yao NN, Hou Q, Zhang SP et al (2020) Prognostic Nutritional Index, Another Prognostic Factor for Extranodal Natural Killer/T Cell Lymphoma. Nasal Type Front Oncol 10:877
Chen KL, Liu YH, Li WY et al (2015) The prognostic nutritional index predicts survival for patients with extranodal natural killer/T cell lymphoma, nasal type. Ann Hematol 94:1389–1400
Onodera T, Goseki N, Kosaki G (1984) Prognostic nutritional index in gastrointestinal surgery of malnourished cancer patients. Nihon Geka Gakkai Zasshi 85:1001–1005
Lenz G, Wright G, Dave SS et al (2008) Stromal gene signature in large-B-cell lymphomas. N Engl J Med 22:2313–2323
Tran H, Nourse J, Hall S et al (2008) Immunodeficiency-associated lymphomas. Blood Rev 22:261–281
Morton LM, Wang SS, Cozen W et al (2008) Etiologic heterogeneity among non-Hodgkin lymphoma subtypes. Blood 112:5150–5160
Kim DH, Baek JH, Chae YS et al (2007) Absolute lymphocyte counts predicts response to chemotherapy and survival in diffuse large B-cell lymphoma. Leukemia 21:2227–2230
von Meyenfeldt M (2005) Cancer-associated malnutrition: an introduction. Eur J Oncol Nurs 9(Suppl 2):S35–S38
Don BR, Kaysen G (2004) Serum albumin: relationship to inflammation and nutrition. Semin Dial 17(6):432–427
Gupta D, Lis CG (2010) Pretreatment serum albumin as a predictor of cancer survival: a systematic review of the epidemiological literature. Nutr J 9:69
Ishizuka M, Nagata H, Takagi K et al (2007) Inflammation-based prognostic score is a novel predictor of postoperative outcome in patients with colorectal cancer. Ann Surg 246:1047–1051
Ishizuka M, Nagata H, Takagi K et al (2009) Influence of inflammation-based prognostic score on mortality of patients undergoing chemotherapy for far advanced or recurrent unresectable colorectal cancer. Ann Surg 250:268–272
McMillan DC, Crozier JE, Canna K et al (2007) Evaluation of an inflammation-based prognostic score (GPS) in patients undergoing resection for colon and rectal cancer. Int J Colorectal Dis 22:881–886
Brenner DA, Buck M, Feitelberg SP et al (1990) Tumor necrosis factor-alpha inhibits albumin gene expression in a murine model of cachexia. J Clin Invest 85(1):248–255
McMillan DC, Watson WS, O’Gorman P et al (2001) Albumin concentrations are primarily determined by the body cell mass and the systemic inflammatory response in cancer patients with weight loss. Nutr Cancer 39(2):210–213
Perisa V, Zibar L, Knezovic A et al (2017) Prognostic nutritional index as a predictor of prognosis in patients with diffuse large B cell lymphoma. Wien Klin Wochenschr 129:411–419
Lee SF, Ng TY, Wong FCS (2019) The value of prognostic nutritional index in follicular lymphoma. Am J Clin Oncol 42:202–207
Shoji F, Morodomi Y, Akamine T et al (2016) Predictive impact for postoperative recurrence using the preoperative prognostic nutritional index in pathological stage I non-small cell lung cancer. Lung Cancer 98:15–21
Kanda M, Mizuno A, Tanaka C et al (2016) Nutritional predictors for postoperative short-term and long-term outcomes of patients with gastric cancer. Medicine (Baltimore) 95:e3781
Kim HS, Kim KH, Kim KH et al (2009) Whole blood Epstein-Barr virus DNA load as a diagnostic and prognostic surrogate: extranodal natural killer/T-cell lymphoma. Leuk Lymphoma 50:757–763
Ito Y, Kimura H, Maeda Y et al (2012) Pretreatment EBV-DNA copy number is predictive of response and toxicities to SMILE chemotherapy for extranodal NK/T-cell lymphoma, nasal type. Clin Cancer Res 18:4183–4190
Author information
Authors and Affiliations
Contributions
LQZ constructed this work and revised the manuscript. NL collected and analyzed data, performed research, and wrote the paper. MJ provided valuable recommendations. WCW participated in data analysis. All authors read and approved the final manuscript and the submitted version. All authors agreed both to be personally accountable for the author’s own contributions and to ensure that questions related to the accuracy or integrity of any part of the work.
Corresponding author
Ethics declarations
Ethics approval
All data included in this study were approved by Ethics Committee on Biomedical Research, West China Hospital of Sichuan University, and in accordance with the declaration of Helsinki.
Consent to participate
Informed consent was exempted for this was a retrospective study.
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Highlights
PNI and PNI-associated prognostic score predicted prognosis in ENKTL; when these factors were applied to IPI, PINK, and NRI models, better results were found.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Li, N., Jiang, M., Wu, Wc. et al. The value of prognostic nutritional index in nasal-type, extranodal natural killer/T-cell lymphoma. Ann Hematol 101, 1545–1556 (2022). https://doi.org/10.1007/s00277-022-04849-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00277-022-04849-0