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Preoperative total cholesterol-lymphocyte score as a novel immunonutritional predictor of survival in gastric cancer

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Abstract

Purpose

Immunonutritional status is a known prognostic correlate in the context of gastric cancer (GC). In the present study, we investigated the prognostic relevance of a lipid profile-based immunonutritional score in patients with GC.

Methods

Data pertaining to 224 patients with stage II and III GC who underwent curative gastrectomy were retrospectively analyzed. The total cholesterol-lymphocyte score (TL score) was defined as follows: patients with both low total cholesterol (TC) and total lymphocyte count were allocated a score of 2; patients with only one or none of these biochemical abnormalities were allocated a score of 1 or 0, respectively.

Results

Among the serum lipid indices, low TC was the strongest predictor of cancer-specific survival (CSS; p = 0.001). On multivariate analysis, both low prognostic nutritional index (PNI) (p < 0.001) and high TL score (p = 0.003) were independent prognostic factors. PNI was significantly associated with peritoneal recurrence (p = 0.047), while TL score was significantly associated with locoregional and distant metastasis (p = 0.004 and p = 0.003, respectively).

Conclusions

TL score may facilitate risk stratification of patients based on CSS. TL score plus PNI may help predict the recurrence pattern in patients with stage II and III GC.

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References

  1. Ferlay J, Soerjomataram I, Dikshit R, Eser S et al (2015) Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 136:E359–E386

    Article  CAS  Google Scholar 

  2. Heys SD, Park KG, Garlick PJ et al (1992) Nutrition and malignant disease: implications for surgical practice. Br J Surg 79:614–623

    Article  CAS  Google Scholar 

  3. Miyata H, Yano M, Yasuda T et al (2012) Randomized study of clinical effect of enteral nutrition support during neoadjuvant chemotherapy on chemotherapy-related toxicity in patients with esophageal cancer. Clin Nutr 31:330–336

    Article  Google Scholar 

  4. Heys SD, Park KG, Garlick PJ et al (1992) Nutrition and malignant disease: implications for surgical practice. Br J Surg 79(7):614–623

    Article  CAS  Google Scholar 

  5. Ogino S, Galon J, Fuchs CS et al (2011) Cancer immunology--analysis of host and tumor factors for personalized medicine. Nat Rev Clin Oncol 9;8(12):711–719. https://doi.org/10.1038/nrclinonc.2011.122

    Article  CAS  Google Scholar 

  6. Pinato DJ, North BV, Sharma R et al (2012) A novel, externally validated inflammation-based prognostic algorithm in hepatocellular carcinoma: the prognostic nutritional index (PNI). Br J Cancer 106:1439–1445

    Article  CAS  Google Scholar 

  7. 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. https://doi.org/10.1016/j.ejso.2016.05.029 Epub 2016 Jun 1

    Article  CAS  PubMed  Google Scholar 

  8. Jiang SS, Weng DS, Jiang L et al (2016) The clinical significance of preoperative serum cholesterol and high-density lipoprotein-cholesterol levels in hepatocellular carcinoma. J Cancer 20;7(6):626–632. https://doi.org/10.7150/jca.13837 eCollection 2016

    Article  CAS  Google Scholar 

  9. Hao B, Bi B, Sang C et al (2019) Systematic review and meta-analysis of the prognostic value of serum high-density lipoprotein cholesterol levels for solid tumors. Nutr Cancer 15:1–10. https://doi.org/10.1080/01635581.2019.1577983

    Article  CAS  Google Scholar 

  10. Wettstein MS, Saba K, Umbehr MH et al (2017) Prognostic role of preoperative serum lipid levels in patients undergoing radical prostatectomy for clinically localized prostate cancer. Prostate. 77(5):549–556. https://doi.org/10.1002/pros.23296 Epub 2017 Jan 17

    Article  CAS  PubMed  Google Scholar 

  11. Liu BZ, Tao L, Chen YZ et al (2016) Preoperative body mass index, blood albumin and triglycerides predict survival for patients with gastric cancer. PLoS One 16;11(6):e0157401. https://doi.org/10.1371/journal.pone.0157401 eCollection 2016

    Article  CAS  Google Scholar 

  12. Toyokawa T, Kubo N, Tamura T et al (2016) 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 6(16):722. https://doi.org/10.1186/s12885-016-2696-0

    Article  Google Scholar 

  13. Ryo S, Kanda M, Ito S et al (2019) 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 26(2):456–464. https://doi.org/10.1245/s10434-018-07121-w Epub 2018 Dec 18

    Article  PubMed  Google Scholar 

  14. Kuroda D, Sawayama H, Kurashige J et al (2018) Controlling Nutritional Status (CONUT) score is a prognostic marker for gastric cancer patients after curative resection. Gastric Cancer 21(2):204–212. https://doi.org/10.1007/s10120-017-0744-3 Epub 2017 Jun 27

    Article  PubMed  Google Scholar 

  15. Japanese Gastric Cancer Association 2014. Japanese Gastric Cancer Treatment Guidelines 2014 (version 4). Tokyo

  16. Brierley JD, Gospodarowicz MK, Wittekind C (2017) editors. Union for International Cancer Control. TNM Classification of Malignant Tumors. 8th ed. Wiley, New York

    Google Scholar 

  17. Japanese Gastric Cancer Association (2011) Japanese classification of gastric carcinoma: 3rd English edition. Gastric Cancer 14:101–112 [PMID: 21573743. https://doi.org/10.1007/s10120-011-0041-5

    Article  Google Scholar 

  18. Onodera T, Goseki N, Kosaki G (1984) Prognostic nutritional index in gastrointestinal surgery of malnourished cancer patients [in Japanese]. Nippon Geka Gakkai Zasshi 85:1001–1005

    CAS  PubMed  Google Scholar 

  19. Ignacio de Ulíbarri J, González-Madroño A, de Villar NG et al (2005) CONUT: a tool for controlling nutritional status. First validation in a hospital population. Nutr Hosp Jan-Feb 20(1):38–45

    Google Scholar 

  20. Altman DG, Lausen B, Sauerbrei W et al (1994) Dangers of using “optimal” cutpoints in the evaluation of prognostic factors. J Natl Cancer Inst 86:829–835

    Article  CAS  Google Scholar 

  21. Gadgil MD, Anderson CA, Kandula NR et al (2015) Dietary patterns are associated with metabolic risk factors in South Asians living in the United States. J Nutr. Jun 145(6):1211–1217. https://doi.org/10.3945/jn.114.207753 Epub 2015 Apr 22

    Article  CAS  Google Scholar 

  22. Calleros L, Lasa M, Toro MJ et al (2006) Low cell cholesterol levels increase NFkappaB activity through a p38 MAPK-dependent mechanism. Cell Signal 18(12):2292–2301 Epub 2006 Jun 27

    Article  CAS  Google Scholar 

  23. Wang Y, Sun XQ, Lin HC et al (2019) Correlation between immune signature and high-density lipoprotein cholesterol level in stage II/III colorectal cancer. Cancer Med 8(3):1209–1217. https://doi.org/10.1002/cam4.1987 Epub 2019 Feb 7

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Chen P, Han L, Wang C et al (2017) Preoperative serum lipids as prognostic predictors in esophageal squamous cell carcinoma patients with esophagectomy. Oncotarget 20;8(25):41605–41619. https://doi.org/10.18632/oncotarget.15651

    Article  Google Scholar 

  25. Zhou P, Li B, Liu B et al (2018) Prognostic role of serum total cholesterol and high-density lipoprotein cholesterol in cancer survivors: A systematic review and meta-analysis. Clin Chim Acta 477:94–104. https://doi.org/10.1016/j.cca.2017.11.039 Epub 2017 Dec 6

    Article  CAS  PubMed  Google Scholar 

  26. Li X, Tang H, Wang J et al (2017) The effect of preoperative serum triglycerides and high-density lipoprotein-cholesterol levels on the prognosis of breast cancer. Breast 32:1–6. https://doi.org/10.1016/j.breast.2016.11.024 Epub 2016 Dec 8

    Article  CAS  PubMed  Google Scholar 

  27. Liao F, He W, Jiang C et al (2015) A high LDL-C to HDL-C ratio predicts poor prognosis for initially metastatic colorectal cancer patients with elevations in LDL-C. Onco Targets Ther 27;8:3135–3142. https://doi.org/10.2147/OTT.S90479 eCollection 2015

    Article  Google Scholar 

  28. Zhou T, Zhan J, Fang W et al (2017) Serum low-density lipoprotein and low-density lipoprotein expression level at diagnosis are favorable prognostic factors in patients with small-cell lung cancer (SCLC). BMC Cancer 14;17(1):269. https://doi.org/10.1186/s12885-017-3239-z

    Article  CAS  Google Scholar 

  29. Lofterød T, Mortensen ES, Nalwoga H et al (2018) Impact of pre-diagnostic triglycerides and HDL-cholesterol on breast cancer recurrence and survival by breast cancer subtypes. BMC Cancer 15;18(1):654. https://doi.org/10.1186/s12885-018-4568-2

    Article  CAS  Google Scholar 

  30. Guillaumond F, Bidaut G, Ouaissi M et al (2015) Cholesterol uptake disruption, in association with chemotherapy, is a promising combined metabolic therapy for pancreatic adenocarcinoma. Proc Natl Acad Sci U S A 24;112(8):2473–2478. https://doi.org/10.1073/pnas.1421601112 Epub 2015 Feb 9

    Article  CAS  Google Scholar 

  31. Gallagher EJ, Zelenko Z, Neel BA et al (2017) Elevated tumor LDLR expression accelerates LDL cholesterol-mediated breast cancer growth in mouse models of hyperlipidemia. Oncogene 16;36(46):6462–6471. https://doi.org/10.1038/onc.2017.247 Epub 2017 Jul 31

    Article  CAS  Google Scholar 

  32. Wang C, Li P, Xuan J et al (2017) Cholesterol enhances colorectal cancer progression via ROS elevation and MAPK signaling pathway activation. Cell Physiol Biochem 42(2):729–742. https://doi.org/10.1159/000477890 Epub 2017 Jun 15

    Article  CAS  PubMed  Google Scholar 

  33. Mantovani A, Allavena P, Sica A et al (2008) Cancer-related inflammation. Nature 24;454(7203):436–444. https://doi.org/10.1038/nature07205

    Article  CAS  Google Scholar 

  34. Feng JF, Liu JS, Huang Y (2014) Lymphopenia predicts poor prognosis in patients with esophageal squamous cell carcinoma. Medicine (Baltimore) 93(27):e257. https://doi.org/10.1097/MD.0000000000000257

    Article  Google Scholar 

  35. Ray-Coquard I, Cropet C, Van Glabbeke M et al (2009) Lymphopenia as a prognostic factor for overall survival in advanced carcinomas, sarcomas, and lymphomas. Cancer Res 1;69(13):5383–5391. https://doi.org/10.1158/0008-5472.CAN-08-3845 Epub 2009 Jun 23

    Article  CAS  Google Scholar 

  36. Toyokawa T, Muguruma K, Tamura T et al (2018) Comparison of the prognostic impact and combination of preoperative inflammation-based and/or nutritional markers in patients with stage II gastric cancer. Oncotarget 29;9(50):29351–29364. https://doi.org/10.18632/oncotarget.25486 eCollection 2018 Jun 29

    Article  Google Scholar 

  37. Saito H, Kono Y, Murakami Y, Kuroda H, Matsunaga T, Fukumoto Y, Osaki T (2017) Influence of prognostic nutritional index and tumor markers on survival in gastric cancer surgery patients. Langenbecks Arch Surg 402(3):501–507

    Article  Google Scholar 

  38. Nam DH, Lee H, Park JC et al (2014) Long-term statin therapy improves oncological outcome after radical gastrectomy for stage II and III gastric cancer. Anticancer Res 34(1):355–361

    CAS  PubMed  Google Scholar 

  39. Hatao F, Chen KY, Wu JM, Wang MY, Aikou S, Onoyama H, Shimizu N, Fukatsu K, Seto Y, Lin MT (2017) Randomized controlled clinical trial assessing the effects of oral nutritional supplements in postoperative gastric cancer patients. Langenbecks Arch Surg 402(2):203–211

    Article  Google Scholar 

  40. Adiamah A, Skořepa P, Weimann A, Lobo DN (2019) The impact of preoperative immune modulating nutrition on outcomes in patients undergoing surgery for gastrointestinal cancer: a systematic review and meta-analysis. Ann Surg doi. https://doi.org/10.1097/SLA.0000000000003256

    Article  Google Scholar 

  41. Giger U, Büchler M, Farhadi J, Berger D, Hüsler J, Schneider H, Krähenbühl S, Krähenbühl L (2007) Preoperative immunonutrition suppresses perioperative inflammatory response in patients with major abdominal surgery-a randomized controlled pilot study. Ann Surg Oncol 14(10):2798–2806 Epub 2007 Jul 15

    Article  Google Scholar 

  42. Ding D, Feng Y, Song B, Gao S, Zhao J (2015) Effects of preoperative and postoperative enteral nutrition on postoperative nutritional status and immune function of gastric cancer patients. Turk J Gastroenterol 26(2):181–185. https://doi.org/10.5152/tjg.2

    Article  PubMed  Google Scholar 

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Authors and Affiliations

Authors

Contributions

This study was designed by D.M., K.S., T.K., and E.O.; D.M. and K.S. performed statistical analyses. The clinical information and materials were collected and kept by K.S., T.K., T.K., H.K., A.S., H.F., K.O., T.A., M.K., R.M., Y.M., H.I., Y.K., and M.N.; D.M. and K.S. drafted the manuscript. T.K. edited and revised the manuscript. E.O. approved the final version of manuscript.

Corresponding author

Correspondence to Takeshi Kubota.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Matsubara, D., Shoda, K., Kubota, T. et al. Preoperative total cholesterol-lymphocyte score as a novel immunonutritional predictor of survival in gastric cancer. Langenbecks Arch Surg 404, 743–752 (2019). https://doi.org/10.1007/s00423-019-01824-8

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  • DOI: https://doi.org/10.1007/s00423-019-01824-8

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