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Cancer Cell International
Published in: Cancer Cell International 1/2018

Open Access 01-12-2018 | Primary research

Pre-treatment prognostic nutritional index may serve as a potential biomarker in urinary cancers: a systematic review and meta-analysis

Authors: Feng Qi, Xiang Zhou, Yi Wang, Yamin Wang, Yichun Wang, Qijie Zhang, Rong Cong, Jie Yang, Ninghong Song

Published in: Cancer Cell International | Issue 1/2018

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Abstract

Background

To investigate the potential prognostic role of pre-treatment prognostic nutritional index (PNI) in urinary cancers.

Methods

Relevant articles were searched comprehensively from PubMed, Embase and Web of Science, up to November 2018. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were extracted to evaluate their associations.

Result

A total of 12 related articles including 6561 patients were ultimately enrolled. Our results indicated that a relatively lower level of pre-treatment PNI was associated with decreased OS, CSS/DSS and DFS/RFS/PFS (pooled HR = 1.68, 95% CI 1.45–1.95; pooled HR = 1.57, 95% CI 1.33–1.86; pooled HR = 1.75, 95% CI 1.53–1.99, respectively). Subsequent stratified analysis by cancer type for OS showed that PNI could also be a predictor no matter in renal cell cancer (RCC) or bladder cancer (BC) (pooled HR = 1.65, 95% CI 1.37–1.97 and pooled HR = 1.67, 95% CI 1.20–2.33). Similar results could be found in DFS/RFS/PFS (RCC: HR = 1.81, 95% CI 1.54–2.13 and BC: HR = 1.68, 95% CI 1.32–2.12) and in CSS/DSS (RCC: HR = 1.50, 95% CI 1.23–1.82 and upper tract urothelial carcinoma: HR = 1.61, 95% CI 1.13–2.28). As for the treatment subgroup, a relatively lower level of PNI could also be a positive predictor for OS (surgery: HR = 1.64, 95% CI 1.40–1.93; target therapy: HR = 1.88, 95% CI 1.34–2.63) and DFS/RFS/PFS (surgery: HR = 1.69, 95% CI 1.47–1.95; target therapy: HR = 2.14, 95% CI 1.50–3.05).

Conclusion

The outcomes of us shed light on that elevated pre-treatment PNI was positively associated with OS, CSS/DSS and DFS/RFS/PFS, indicating that it could be an independent prognostic factor in urinary cancers.
Literature
1.
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin. 2017;67(1):7–30.CrossRef
2.
Escudier B, Eisen T, Stadler WM, Szczylik C, Oudard S, Siebels M, Negrier S, Chevreau C, Solska E, Desai AA, et al. Sorafenib in advanced clear-cell renal-cell carcinoma. N Engl J Med. 2007;356(2):125–34.CrossRef
3.
Rini BI, Escudier B, Tomczak P, Kaprin A, Szczylik C, Hutson TE, Michaelson MD, Gorbunova VA, Gore ME, Rusakov IG, et al. Comparative effectiveness of axitinib versus sorafenib in advanced renal cell carcinoma (AXIS): a randomised phase 3 trial. Lancet. 2011;378(9807):1931–9.CrossRef
4.
Kantoff PW, Higano CS, Shore ND, Berger ER, Small EJ, Penson DF, Redfern CH, Ferrari AC, Dreicer R, Sims RB, et al. Sipuleucel-T immunotherapy for castration-resistant prostate cancer. N Engl J Med. 2010;363(5):411–22.CrossRef
5.
Cohen HT, McGovern FJ. Renal-cell carcinoma. N Engl J Med. 2005;353(23):2477–90.CrossRef
6.
DeSantis CE, Lin CC, Mariotto AB, Siegel RL, Stein KD, Kramer JL, Alteri R, Robbins AS, Jemal A. Cancer treatment and survivorship statistics, 2014. CA Cancer J Clin. 2014;64(4):252–71.CrossRef
7.
Onodera T, Goseki N, Kosaki G. Prognostic nutritional index in gastrointestinal surgery of malnourished cancer patients. Nihon Geka Gakkai zasshi. 1984;85(9):1001–5.PubMed
8.
Pinato DJ, North BV, Sharma R. A novel, externally validated inflammation-based prognostic algorithm in hepatocellular carcinoma: the prognostic nutritional index (PNI). Br J Cancer. 2012;106(8):1439–45.CrossRef
9.
Kanda M, Fujii T, Kodera Y, Nagai S, Takeda S, Nakao A. Nutritional predictors of postoperative outcome in pancreatic cancer. Br J Surg. 2011;98(2):268–74.CrossRef
10.
Yao ZH, Tian GY, Wan YY, Kang YM, Guo HS, Liu QH, Lin DJ. Prognostic nutritional index predicts outcomes of malignant pleural mesothelioma. J Cancer Res Clin Oncol. 2013;139(12):2117–23.CrossRef
11.
Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, Shekelle P, Stewart LA, Group P-P. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.CrossRef
12.
Williamson PR, Smith CT, Hutton JL, Marson AG. Aggregate data meta-analysis with time-to-event outcomes. Stat Med. 2002;21(22):3337–51.CrossRef
13.
Tierney JF, Stewart LA, Ghersi D, Burdett S, Sydes MR. Practical methods for incorporating summary time-to-event data into meta-analysis. Trials. 2007;8:16.CrossRef
14.
Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010;25(9):603–5.CrossRef
15.
DerSimonian R, Kacker R. Random-effects model for meta-analysis of clinical trials: an update. Contemp Clin Trials. 2007;28(2):105–14.CrossRef
16.
Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34.CrossRef
17.
Broggi MS, Patil D, Baum Y, Nieh PT, Alemozaffar M, Pattaras JG, Ogan K, Master VA. Onodera’s prognostic nutritional index as an independent prognostic factor in clear cell renal cell carcinoma. Urology. 2016;96:99–105.CrossRef
18.
Cai W, Zhong H, Kong W, Dong B, Chen Y, Zhou L, Xue W, Huang Y, Zhang J, Huang J. Significance of preoperative prognostic nutrition index as prognostic predictors in patients with metastatic renal cell carcinoma with tyrosine kinase inhibitors as first-line target therapy. Int Urol Nephrol. 2017;49(11):1955–63.CrossRef
19.
Hofbauer SL, Pantuck AJ, de Martino M, Lucca I, Haitel A, Shariat SF, Belldegrun AS, Klatte T. The preoperative prognostic nutritional index is an independent predictor of survival in patients with renal cell carcinoma. Urol Oncol. 2015;33(2):68.e61–7.CrossRef
20.
Jeon HG, Choi DK, Sung HH, Jeong BC, Seo SI, Jeon SS, Choi HY, Lee HM. Preoperative prognostic nutritional index is a significant predictor of survival in renal cell carcinoma patients undergoing nephrectomy. Ann Surg Oncol. 2016;23(1):321–7.CrossRef
21.
Kwon WA, Kim S, Kim SH, Joung JY, Seo HK, Lee KH, Chung J. Pretreatment prognostic nutritional index is an independent predictor of survival in patients with metastatic renal cell carcinoma treated with targeted therapy. Clin Genitourin Cancer. 2017;15(1):100–11.CrossRef
22.
Peng D, He ZS, Li XS, Tang Q, Zhang L, Yang KW, Yu XT, Zhang CJ, Zhou LQ. Prognostic value of inflammatory and nutritional scores in renal cell carcinoma after nephrectomy. Clin Genitourin Cancer. 2017;15(5):582–90.CrossRef
23.
Cui J, Chen S, Bo Q, Wang S, Zhang N, Yu M, Wang W, Han J, Zhu Y, Shi B. Preoperative prognostic nutritional index and nomogram predicting recurrence-free survival in patients with primary non-muscle-invasive bladder cancer without carcinoma in situ. Onco Targets Ther. 2017;10:5541–50.CrossRef
24.
Miyake M, Morizawa Y, Hori S, Marugami N, Iida K, Ohnishi K, Gotoh D, Tatsumi Y, Nakai Y, Inoue T, et al. Integrative assessment of pretreatment inflammation-, nutrition-, and muscle-based prognostic markers in patients with muscle-invasive bladder cancer undergoing radical cystectomy. Oncology. 2017;93(4):259–69.CrossRef
25.
Peng D, Gong YQ, Hao H, He ZS, Li XS, Zhang CJ, Zhou LQ. Preoperative prognostic nutritional index is a significant predictor of survival with bladder cancer after radical cystectomy: a retrospective study. BMC Cancer. 2017;17(1):391.CrossRef
26.
27.
Kim M, Moon KC, Choi WS, Jeong CW, Kwak C, Kim HH, Ku JH. Prognostic value of systemic inflammatory responses in patients with upper urinary tract urothelial carcinoma. World J Urol. 2015;33(10):1439–57.CrossRef
28.
Fan L, Wang X, Chi C, Wang Y, Cai W, Shao X, Xu F, Pan J, Zhu Y, Shangguan X, et al. Prognostic nutritional index predicts initial response to treatment and prognosis in metastatic castration-resistant prostate cancer patients treated with abiraterone. Prostate. 2017;77(12):1233–41.CrossRef
29.
Chamie K, Litwin MS, Bassett JC, Daskivich TJ, Lai J, Hanley JM, Konety BR, Saigal CS, Urologic diseases in America P. recurrence of high-risk bladder cancer: a population-based analysis. Cancer. 2013;119(17):3219–27.CrossRef
30.
Brookman-May SD, May M, Shariat SF, Novara G, Zigeuner R, Cindolo L, De Cobelli O, De Nunzio C, Pahernik S, Wirth MP, et al. Time to recurrence is a significant predictor of cancer-specific survival after recurrence in patients with recurrent renal cell carcinoma–results from a comprehensive multi-centre database (CORONA/SATURN-Project). BJU Int. 2013;112(7):909–16.PubMed
31.
Ljungberg B, Campbell SC, Choi HY, Jacqmin D, Lee JE, Weikert S, Kiemeney LA. The epidemiology of renal cell carcinoma. Eur Urol. 2011;60(4):615–21.CrossRef
32.
Coussens LM, Werb Z. Inflammation and cancer. Nature. 2002;420(6917):860–7.CrossRef
33.
Vakkila J, Lotze MT. Inflammation and necrosis promote tumour growth. Nat Rev Immunol. 2004;4(8):641–8.CrossRef
34.
Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646–74.CrossRef
35.
Shigdar S, Li Y, Bhattacharya S, O’Connor M, Pu C, Lin J, Wang T, Xiang D, Kong L, Wei MQ, et al. Inflammation and cancer stem cells. Cancer Lett. 2014;345(2):271–8.CrossRef
36.
Karakiewicz PI, Hutterer GC, Trinh QD, Jeldres C, Perrotte P, Gallina A, Tostain J, Patard JJ. C-reactive protein is an informative predictor of renal cell carcinoma-specific mortality: a European study of 313 patients. Cancer. 2007;110(6):1241–7.CrossRef
37.
Karl A, Rittler P, Buchner A, Fradet V, Speer R, Walther S, Stief GC. Prospective assessment of malnutrition in urologic patients. Urology. 2009;73(5):1072–6.CrossRef
38.
Gregg JR, Cookson MS, Phillips S, Salem S, Chang SS, Clark PE, Davis R, Stimson CJ Jr, Aghazadeh M, Smith JA Jr, et al. Effect of preoperative nutritional deficiency on mortality after radical cystectomy for bladder cancer. J Urol. 2011;185(1):90–6.CrossRef
39.
Lambert JW, Ingham M, Gibbs BB, Given RW, Lance RS, Riggs SB. Using preoperative albumin levels as a surrogate marker for outcomes after radical cystectomy for bladder cancer. Urology. 2013;81(3):587–92.CrossRef
40.
Hu K, Lou L, Ye J, Zhang S. Prognostic role of the neutrophil-lymphocyte ratio in renal cell carcinoma: a meta-analysis. BMJ Open. 2015;5(4):e006404.CrossRef
41.
Sang L, Wang XM, Xu DY, Cai YF. Accuracy of shear wave elastography for the diagnosis of prostate cancer: a meta-analysis. Sci Rep. 2017;7(1):1949.CrossRef
42.
Li X, Ma X, Tang L, Wang B, Chen L, Zhang F, Zhang X. Prognostic value of neutrophil-to-lymphocyte ratio in urothelial carcinoma of the upper urinary tract and bladder: a systematic review and meta-analysis. Oncotarget. 2017;8(37):62681–92.PubMed
43.
Vanderschuren LJ, Trezza V. What the laboratory rat has taught us about social play behavior: role in behavioral development and neural mechanisms. Curr Top Behav Neurosci. 2014;16:189–212.CrossRef
44.
Yoshida T, Kinoshita H, Yoshida K, Mishima T, Yanishi M, Inui H, Komai Y, Sugi M, Inoue T, Murota T, et al. Prognostic impact of perioperative lymphocyte-monocyte ratio in patients with bladder cancer undergoing radical cystectomy. Tumour Biol. 2016;37(8):10067–74.CrossRef
45.
Shim SR, Kim SJ, Kim SI, Cho DS. Prognostic value of the Glasgow Prognostic Score in renal cell carcinoma: a meta-analysis. World J Urol. 2017;35(5):771–80.CrossRef
46.
Lolli C, Caffo O, Scarpi E, Aieta M, Conteduca V, Maines F, Bianchi E, Massari F, Veccia A, Chiuri VE, et al. Systemic immune-inflammation index predicts the clinical outcome in patients with mCRPC treated with abiraterone. Front Pharmacol. 2016;7:376.CrossRef
47.
Stenman M, Laurell A, Lindskog M. Prognostic significance of serum albumin in patients with metastatic renal cell carcinoma. Med Oncol. 2014;31(3):841.CrossRef
48.
Han S, Huang Y, Li Z, Hou H, Wu A. The prognostic role of preoperative serum albumin levels in glioblastoma patients. BMC Cancer. 2015;15:108.CrossRef
49.
Ray-Coquard I, Cropet C, Van Glabbeke M, Sebban C, Le Cesne A, Judson I, Tredan O, Verweij J, Biron P, Labidi I, et al. Lymphopenia as a prognostic factor for overall survival in advanced carcinomas, sarcomas, and lymphomas. Can Res. 2009;69(13):5383–91.CrossRef
Metadata
Title
Pre-treatment prognostic nutritional index may serve as a potential biomarker in urinary cancers: a systematic review and meta-analysis
Authors
Feng Qi
Xiang Zhou
Yi Wang
Yamin Wang
Yichun Wang
Qijie Zhang
Rong Cong
Jie Yang
Ninghong Song
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Cancer Cell International / Issue 1/2018
Electronic ISSN: 1475-2867
DOI
https://doi.org/10.1186/s12935-018-0708-7

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