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Original Article | Open Access

Prognostic significance of a combined and controlled nutritional status score and EBV-DNA in patients with advanced nasopharyngeal carcinoma: a long-term follow-up study

Hui Lu1,2,*Shanshan Guo1,3,*Liting Liu1,3,*Qiuyan Chen1,3Yujing Liang1,3Sailan Liu1,3Xuesong Sun1,3Qingnan Tang1,3Xiaoyun Li1,3Ling Guo1,3Haoyuan Mo1,3Linquan Tang1,3 ( )Haiqiang Mai1,3 ( )
State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
Department of Radiation Oncology, Guangzhou Concord Cancer Center, Guangzhou 510045, China
Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou 510060, China

*These authors contributed equally to this work.

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Abstract

Objective

Several studies have reported that the controlling nutritional status (CONUT) score is a prognostic predictor for survival among patients with different types of cancer. We assessed the prognostic value of changes in the CONUT score during treatment and the ΔCONUT-EBV DNA score in patients with advanced nasopharyngeal carcinoma (NPC).

Methods

We retrospectively analyzed 433 patients with advanced NPC having no evidence of metastasis from January 2007 to June 2011; the patients underwent radical concurrent chemoradiotherapy (CCRT) at Sun Yat-sen University Cancer Center and were grouped based on their ΔCONUT and ΔCONUT-EBV DNA scores. Kaplan-Meier curves were used to compare the patient outcomes according to the cut-off ΔCONUT score and the ΔCONUT-EBV DNA scoring system.

Results

Among all patients, overall survival (OS) was independently predicted by a high ΔCONUT score (P = 0.031) and high EBV DNA (P < 0.001). The ΔCONUT-EBV DNA score [OS area under the curve (AUC) = 0.621; progression free survival (PFS)-AUC = 0.612; distant metastasis-free survival (DMFS)-AUC = 0.622] was more predictive of OS, PFS, and DMFS in patients with advanced NPC than the ΔCONUT score (OS-AUC = 0.547; PFS-AUC = 0.533; DMFS-AUC = 0.522) and pretreatment plasma EBV DNA levels alone (OS-AUC = 0.600; PFS-AUC = 0.591, DMFS-AUC = 0.610). The ΔCONUT-EBV DNA score was significantly correlated with OS, PFS, and DMFS in patients with advanced NPC treated with CCRT.

Conclusions

The ΔCONUT-EBV DNA score may be useful in clinical practice as a convenient biomarker for predicting the outcomes in patients with advanced NPC treated with CCRT.

Electronic Supplementary Material

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References

1

Tan GW, Sivanesan VM, Abdul Rahman FI, Hassan F, Hasbullah HH, Ng CC, et al. A novel and non-invasive approach utilising nasal washings for the detection of nasopharyngeal carcinoma. Int J Cancer. 2019; 145: 2260-6.

2

Chan KCA, Woo JKS, King A, Zee BCY, Lam WKJ, Chan SL, et al. Analysis of plasma Epstein-Barr virus DNA to screen for nasopharyngeal cancer. N Engl J Med. 2017; 377: 513-22.

3

Lo YM, Chan AT, Chan LY, Leung SF, Lam CW, Huang DP, et al. Molecular prognostication of nasopharyngeal carcinoma by quantitative analysis of circulating Epstein-Barr virus DNA. Cancer Res. 2000; 60: 6878-81.

4

Lo YM, Chan LY, Chan AT, Leung SF, Lo KW, Zhang J, et al. Quantitative and temporal correlation between circulating cell-free Epstein-Barr virus DNA and tumor recurrence in nasopharyngeal carcinoma. Cancer Res. 1999; 59: 5452-5.

5

Leung SF, Lo YM, Chan AT, To KF, To E, Chan LY, et al. Disparity of sensitivities in detection of radiation-naive and postirradiation recurrent nasopharyngeal carcinoma of the undifferentiated type by quantitative analysis of circulating Epstein-Barr virus DNA1, 2. Clin Cancer Res. 2003; 9: 3431-4.

6

Chen L, Zhang Y, Lai SZ, Li WF, Hu WH, Sun R, et al. 10-Year results of therapeutic ratio by intensity-modulated radiotherapy versus two-dimensional radiotherapy in patients with nasopharyngeal carcinoma. Oncologist. 2019; 24: e38-45.

7

Huang JF, Sun RJ, Jiang WJ, Wu P, Zhang L, Xu MQ, et al. Systematic nutrition management for locally advanced nasopharyngeal carcinoma patients undergoing radiotherapy. Onco Targets Ther. 2019; 12: 8379-86.

8

Gundog M, Basaran H. Pretreatment low prognostic nutritional index and low albumin-globulin ratio are predictive for overall survival in nasopharyngeal cancer. Eur Arch Otorhinolaryngol. 2019; 276: 3221-30.

9

Wei GB, Lu YY, Liao RW, Chen QS, Zhang KQ. Prognostic nutritional index predicts prognosis in patients with metastatic nasopharyngeal carcinoma. Onco Targets Ther. 2016; 9: 5955-61.

10

Zeng X, Liu G, Pan Y, Li Y. Prognostic value of clinical biochemistry-based indexes in nasopharyngeal carcinoma. Front Oncol. 2020; 10: 146.

11

Harimoto N, Yoshizumi T, Inokuchi S, Itoh S, Adachi E, Ikeda Y, et al. Prognostic significance of preoperative controlling nutritional status (CONUT) score in patients undergoing hepatic resection for hepatocellular carcinoma: a multi-institutional study. Ann Surg Oncol. 2018; 25: 3316-23.

12

Song H, Xu B, Luo C, Zhang Z, Ma B, Jin J, et al. The prognostic value of preoperative controlling nutritional status score in nonmetastatic renal cell carcinoma treated with surgery: a retrospective single-institution study. Cancer Manag Res. 2019; 11: 7567-75.

13

Hikage M, Taniyama Y, Sakurai T, Sato C, Takaya K, Okamoto H, et al. The influence of the perioperative nutritional status on the survival outcomes for esophageal cancer patients with neoadjuvant chemotherapy. Ann Surg Oncol. 2019; 26: 4744-53.

14

Toyokawa T, Kubo N, Tamura T, Sakurai K, Amano R, Tanaka H, et al. The pretreatment Controlling Nutritional Status (CONUT) score is an independent prognostic factor in patients with resectable thoracic esophageal squamous cell carcinoma: results from a retrospective study. BMC Cancer. 2016; 16: 722.

15

Terasaki F, Sugiura T, Okamura Y, Ito T, Yamamoto Y, Ashida R, et al. The preoperative controlling nutritional status (CONUT) score is an independent prognostic marker for pancreatic ductal adenocarcinoma. Updates Surg. 2020; 73: 251–9.

16

Ryo S, Kanda M, Ito S, Mochizuki Y, Teramoto H, Ishigure K, et al. The controlling nutritional status score serves as a predictor of short- and long-term outcomes for patients with stage 2 or 3 gastric cancer: analysis of a multi-institutional data set. Ann Surg Oncol. 2019; 26: 456-64.

17

Ignacio de Ulibarri J, Gonzalez-Madrono A, de Villar NG, Gonzalez P, Gonzalez B, Mancha A, et al. CONUT: a tool for controlling nutritional status. First validation in a hospital population. Nutr Hosp. 2005; 20: 38-45.

18

Chan AT. Nasopharyngeal carcinoma. Ann Oncol. 2010; 21 Suppl 7: ⅶ308-12.

19

Lee AW, Ma BB, Ng WT, Chan AT. Management of nasopharyngeal carcinoma: current practice and future perspective. J Clin Oncol. 2015; 33: 3356-64.

20

Lin JC, Wang WY, Chen KY, Wei YH, Liang WM, Jan JS, et al. Quantification of plasma Epstein-Barr virus DNA in patients with advanced nasopharyngeal carcinoma. N Engl J Med. 2004; 350: 2461-70.

21

Guo R, Tang LL, Mao YP, Du XJ, Chen L, Zhang ZC, et al. Proposed modifications and incorporation of plasma Epstein-Barr virus DNA improve the TNM staging system for Epstein-Barr virusrelated nasopharyngeal carcinoma. Cancer. 2019; 125: 79-89.

22

Lee VH, Kwong DL, Leung TW, Choi CW, O’Sullivan B, Lam KO, et al. The addition of pretreatment plasma Epstein-Barr virus DNA into the eighth edition of nasopharyngeal cancer TNM stage classification. Int J Cancer. 2019; 144: 1713-22.

23

Xu C, Chen YP, Liu X, Li WF, Chen L, Mao YP, et al. Establishing and applying nomograms based on the 8th edition of the UICC/ AJCC staging system to select patients with nasopharyngeal carcinoma who benefit from induction chemotherapy plus concurrent chemoradiotherapy. Oral Oncol. 2017; 69: 99-107.

24

Ma BB, King A, Lo YM, Yau YY, Zee B, Hui EP, et al. Relationship between pretreatment level of plasma Epstein-Barr virus DNA, tumor burden, and metabolic activity in advanced nasopharyngeal carcinoma. Int J Radiat Oncol Biol Phys. 2006; 66: 714-20.

25

Chan KC, Chan AT, Leung SF, Pang JC, Wang AY, Tong JH, et al. Investigation into the origin and tumoral mass correlation of plasma Epstein-Barr virus DNA in nasopharyngeal carcinoma. Clin Chem. 2005; 51: 2192-5.

26

McMillan GH. Looking at problems–a new approach to injury records. Occup Health (Lond). 1980; 32: 286-98.

27

Qu H, Huang Y, Zhao S, Zhou Y, Lv W. Prognostic value of EpsteinBarr virus DNA level for nasopharyngeal carcinoma: a metaanalysis of 8128 cases. Eur Arch Otorhinolaryngol. 2020; 277: 9-18.

28

Romaniuk A, Lyndin M. Immune microenvironment as a factor of breast cancer progression. Diagn Pathol. 2015; 10: 79.

29

Bates JP, Derakhshandeh R, Jones L, Webb TJ. Mechanisms of immune evasion in breast cancer. BMC Cancer. 2018; 18: 556.

30

Chen P, Han L, Wang C, Jia Y, Song Q, Wang J, et al. Preoperative serum lipids as prognostic predictors in esophageal squamous cell carcinoma patients with esophagectomy. Oncotarget. 2017; 8: 41605-19.

31

Lee H, Jeong CW, Kwak C, Kim HH, Seo SI, Lee HM, et al. Preoperative cholesterol level is associated with worse pathological outcomes and postoperative survival in localized renal cell carcinoma patients: a propensity score-matched study. Clin Genitourin Cancer. 2017; 15: e935-41.

32

de Ulibarri Perez JI, Fernandez G, Rodriguez Salvanes F, Diaz Lopez AM. Nutritional screening; control of clinical undernutrition with analytical parameters. Nutr Hosp. 2014; 29: 797-811.

33

Roxburgh CS, McMillan DC. Role of systemic inflammatory response in predicting survival in patients with primary operable cancer. Future Oncol. 2010; 6: 149-63.

34

McMillan DC. Systemic inflammation, nutritional status and survival in patients with cancer. Curr Opin Clin Nutr Metab Care. 2009; 12: 223-6.

35

Remark R, Becker C, Gomez JE, Damotte D, Dieu-Nosjean MC, Sautes-Fridman C, et al. The non-small cell lung cancer immune contexture. A major determinant of tumor characteristics and patient outcome. Am J Respir Crit Care Med. 2015; 191: 377-90.

36

Campian JL, Sarai G, Ye X, Marur S, Grossman SA. Association between severe treatment-related lymphopenia and progressionfree survival in patients with newly diagnosed squamous cell head and neck cancer. Head Neck. 2014; 36: 1747-53.

37

Deng W, Xu C, Liu A, van Rossum PSN, Deng W, Liao Z, et al. The relationship of lymphocyte recovery and prognosis of esophageal cancer patients with severe radiation-induced lymphopenia after chemoradiation therapy. Radiother Oncol. 2019; 133: 9-15.

38

Kanda M, Tanaka C, Kobayashi D, Uda H, Inaoka K, Tanaka Y, et al. Preoperative albumin-bilirubin grade predicts recurrences after radical gastrectomy in patients with pT2-4 gastric cancer. World J Surg. 2018; 42: 773-81.

39

Wu N, Chen G, Hu H, Pang L, Chen Z. Low pretherapeutic serum albumin as a risk factor for poor outcome in esophageal squamous cell carcinomas. Nutr Cancer. 2015; 67: 481-5.

40

Pico JL, Avila-Garavito A, Naccache P. Mucositis: its occurrence, consequences, and treatment in the oncology setting. Oncologist. 1998; 3: 446-51.

41
Bensinger W, Schubert M, Ang KK, Brizel D, Brown E, Eilers JG, et al. NCCN Task Force Report. prevention and management of mucositis in cancer care. J Natl Compr Canc Netw. 2008; 6 (Suppl 1): S1-21; quiz S22-24.
42

Sonis ST, Elting LS, Keefe D, Peterson DE, Schubert M, HauerJensen M, et al. Perspectives on cancer therapy-induced mucosal injury: pathogenesis, measurement, epidemiology, and consequences for patients. Cancer. 2004; 100: 1995-2025.

43

Mortensen HR, Overgaard J, Specht L, Overgaard M, Johansen J, Evensen JF, et al. Prevalence and peak incidence of acute and late normal tissue morbidity in the DAHANCA 6&7 randomised trial with accelerated radiotherapy for head and neck cancer. Radiother Oncol. 2012; 103: 69-75.

44

Blijlevens N, Schwenkglenks M, Bacon P, D’Addio A, Einsele H, Maertens J, et al. Prospective oral mucositis audit: oral mucositis in patients receiving high-dose melphalan or BEAM conditioning chemotherapy–European Blood and Marrow Transplantation Mucositis Advisory Group. J Clin Oncol. 2008; 26: 1519-25.

45

Trotti A, Bellm LA, Epstein JB, Frame D, Fuchs HJ, Gwede CK, et al. Mucositis incidence, severity and associated outcomes in patients with head and neck cancer receiving radiotherapy with or without chemotherapy: a systematic literature review. Radiother Oncol. 2003; 66: 253-62.

46

Rosenthal DI. Consequences of mucositis-induced treatment breaks and dose reductions on head and neck cancer treatment outcomes. J Support Oncol. 2007; 5: 23-31.

47

Russo G, Haddad R, Posner M, Machtay M. Radiation treatment breaks and ulcerative mucositis in head and neck cancer. Oncologist. 2008; 13: 886-98.

48

Campos MI, Campos CN, Aarestrup FM, Aarestrup BJ. Oral mucositis in cancer treatment: natural history, prevention and treatment. Mol Clin Oncol. 2014; 2: 337-40.

49

Lo Y, Chan L, Lo K, Leung S, Zhang J, Chan A, et al. Quantitative analysis of cell-free Epstein-Barr virus DNA in plasma of patients with nasopharyngeal carcinoma. Cancer Res. 1999; 59: 1188-91.

50

Vo J, Nei W, Hu M, Phyo W, Wang F, Fong K, et al. Comparison of circulating tumour cells and circulating cell-free Epstein-Barr virus DNA in patients with nasopharyngeal carcinoma undergoing radiotherapy. Sci Rep. 2016; 6: 13.

51

Prayongrat A, Chakkabat C, Kannarunimit D, Hansasuta P, Lertbutsayanukul C. Prevalence and significance of plasma EpsteinBarr Virus DNA level in nasopharyngeal carcinoma. J Radiat Res. 2017; 58: 509-16.

52

Tan R, Phua S, Soong Y, Oon L, Chan K, Lucky S, et al. Clinical utility of Epstein-Barr virus DNA and other liquid biopsy markers in nasopharyngeal carcinoma. Cancer Commun (London, England). 2020; 40: 564-85.

53

Chan A, Lo Y, Zee B, Chan L, Ma B, Leung S, et al. Plasma EpsteinBarr virus DNA and residual disease after radiotherapy for undifferentiated nasopharyngeal carcinoma. J Natl Cancer Inst. 2002; 94: 1614-9.

54

Wang W, Twu C, Chen H, Jan J, Jiang R, Chao J, et al. Plasma EBV DNA clearance rate as a novel prognostic marker for metastatic/ recurrent nasopharyngeal carcinoma. Clin Cancer Res. 2010; 16: 1016-24.

55

Zhang J, Shu C, Song Y, Li Q, Huang J, Ma X. Epstein-Barr virus DNA level as a novel prognostic factor in nasopharyngeal carcinoma: a meta-analysis. Medicine. 2016; 95: e5130.

56

Yao ZH, Tian GY, Wan YY, Kang YM, Guo HS, Liu QH, et al. Prognostic nutritional index predicts outcomes of malignant pleural mesothelioma. J Cancer Res Clin Oncol. 2013; 139: 2117-23.

57

Chen K, Liu Y, Li W, Chen J, Gu Y, Geng Q, et al. The prognostic nutritional index predicts survival for patients with extranodal natural killer/T cell lymphoma, nasal type. Ann Hematol. 2015; 94: 1389-400.

58

Li G, Gao J, Liu Z, Tao Y, Xu B, Tu Z, et al. Influence of pretreatment ideal body weight percentile and albumin on prognosis of nasopharyngeal carcinoma: long-term outcomes of 512 patients from a single institution. Head Neck. 2014; 36: 660-6.

59

Liu S, Tsai W, Wong Y, Lin J, Poon C, Chao S, et al. Nutritional factors and survival of patients with oral cancer. Head Neck. 2006; 28: 998-1007.

60

Tartari R, Ulbrich-Kulczynski J, Filho A. Measurement of mid-arm muscle circumference and prognosis in stage Ⅳ non-small cell lung cancer patients. Oncol Lett. 2013; 5: 1063-7.

61

Xie X, Yao M, Chen X, Lu W, Lv Q, Wang K, et al. Reduced red blood cell count predicts poor survival after surgery in patients with primary liver cancer. Medicine. 2015; 94: e577.

62

Mayr N, Wang J, Zhang D, Montebello J, Grecula J, Lo S, et al. Synergistic effects of hemoglobin and tumor perfusion on tumor control and survival in cervical cancer. Int J Radiat Oncol Biol Phys. 2009; 74: 1513-21.

63

Iwasa M. [Nutritional assessment of patients with esophageal cancer. “Nutritional Assessment Index (NAI)” to estimate nutritional conditions in pre-and postoperative period]. Nihon Geka Gakkai Zasshi. 1983; 84: 1031-41.

64

Onizuka K, Migita S, Yamada H, Matsumoto I. [Serum protein fractions in patients with laryngeal cancer undergoing radiation therapy. Possibility as a prognostic factor]. Fukuoka Igaku Zasshi. 1999; 90: 46-58.

65

Lai S, Perng R. Impact of nutritional status on the survival of lung cancer patients. Zhonghua Yi Xue Za Zhi. 1998; 61: 134-40.

66

Tang L, Li C, Chen Q, Zhang L, Lai X, He Y, et al. High-sensitivity C-reactive protein complements plasma Epstein-Barr virus deoxyribonucleic acid prognostication in nasopharyngeal carcinoma: a large-scale retrospective and prospective cohort study. Int J Radiat Oncol Biol Phys. 2015; 91: 325-36.

67

OuYang PY, Zhang LN, Tang J, Lan XW, Xiao Y, Gao YH, et al. Evaluation of body mass index and survival of nasopharyngeal carcinoma by propensity-matched analysis: an observational casecontrol study. Medicine (Baltimore). 2016; 95: e2380.

68

Sinicrope F, Foster N, Yothers G, Benson A, Seitz J, Labianca R, et al. Body mass index at diagnosis and survival among colon cancer patients enrolled in clinical trials of adjuvant chemotherapy. Cancer. 2013; 119: 1528-36.

69

Zhang S, Yang H, Luo K, Huang Q, Chen J, Yang F, et al. The impact of body mass index on complication and survival in resected oesophageal cancer: a clinical-based cohort and meta-analysis. Br J Cancer. 2013; 109: 2894-903.

70

Yang L, Xia L, Wang Y, Hong S, Chen H, Liang S, et al. Low prognostic nutritional index (PNI) predicts unfavorable distant metastasis-free survival in nasopharyngeal carcinoma: a propensity score-matched analysis. PLoS One. 2016; 11: e0158853.

71

Fuhrman M, Charney P, Mueller C. Hepatic proteins and nutrition assessment. J Am Diet Assoc. 2004; 104: 1258-64.

72

Dequanter D, Lothaire P. Serum albumin concentration and surgical site identify surgical risk for major post-operative complications in advanced head and neck patients. B-ENT. 2011; 7: 181-3.

73

Guerra L, Rosa A, Romani R, Gurski R, Schirmer C, Kruel C. Serum transferrin and serum prealbumin as markers of response to nutritional support in patients with esophageal cancer. Nutr Hosp. 2009; 24: 241-2.

74

Hong J, Hua Y, Su L, Zhang H, Lv W, Chen X, et al. Modifiednutrition index is a significant prognostic factor for the overall survival of the nasopharyngeal carcinoma patients who undergo intensity-modulated radiotherapy. Nutr Cancer. 2017; 69: 1011-8.

75

Wang Y, He S, Cai X, Chen H, Yang X, Lu L, et al. The novel prognostic score combining red blood cell distribution width and body mass index (COR-BMI) has prognostic impact for survival outcomes in nasopharyngeal carcinoma. J Cancer. 2018; 9: 2295-301.

76

Lin Y, Chang K, Lin Y, Chang T. Evaluation of effect of body mass index and weight loss on survival of patients with nasopharyngeal carcinoma treated with intensity-modulated radiation therapy. Radiat Oncol. 2015; 10: 136.

Cancer Biology & Medicine
Pages 551-564
Cite this article:
Lu H, Guo S, Liu L, et al. Prognostic significance of a combined and controlled nutritional status score and EBV-DNA in patients with advanced nasopharyngeal carcinoma: a long-term follow-up study. Cancer Biology & Medicine, 2022, 19(4): 551-564. https://doi.org/10.20892/j.issn.2095-3941.2020.0627

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Received: 08 October 2020
Accepted: 25 December 2020
Published: 01 April 2022
©2022 Cancer Biology & Medicine.

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