Skip to main content

Advertisement

SpringerLink
Log in

Comparison of three nutritional assessment methods associated with the prognostic impact of laryngeal cancer

  • Research
  • Published:
Supportive Care in Cancer Aims and scope Submit manuscript

Abstract

Background

Several studies have found that the prognostic nutritional index (PNI), controlling nutritional status (CONUT), and Glasgow Prognostic Score (GPS) of patients with laryngeal cancer accurately predict their prognosis. However, there is no consensus regarding the best assessment tool. Therefore, this study aimed to confirm the predictive value of the three nutritional scoring systems for the prognosis of patients with laryngeal cancer.

Methods

This study analyzed a cohort of 427 patients with laryngeal cancer who visited our hospital. PNI, CONUT, and GPS were calculated, and the relationship between these indicators and prognosis was examined.

Results

The optimal cut-off levels for overall survival (OS) of laryngeal cancer patients determined by PNI, CONUT, and GPS were 45, 3, and 0, respectively. When patients were stratified based on these thresholds, OS and disease-free survival (DFS) were significantly decreased in the malnutrition group (all three, p < 0.05). The OS rates of patients with laryngeal cancer were significantly affected by the three scores according to multivariate analysis.

Conclusions

The three scoring methods had a high predictive value for the prognosis of patients with laryngeal cancer, with GPS having the strongest correlation with the prognosis of laryngeal cancer patients.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

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

Similar content being viewed by others

Data availability

Not applicable.

References

  1. Steuer CE, El-Deiry M, Parks JR, Higgins KA, Saba NF (2017) An update on larynx cancer. CA Cancer J Clin 67:31–50. https://doi.org/10.3322/caac.21386

    Article  PubMed  Google Scholar 

  2. AhmedinJemal DVP, Rebecca Siegel M, Ard Elizabeth W, P, Murray TA, Xu J, Michael J, (2007) Thun MM. Cancer Stat 1:43–66. https://doi.org/10.3322/canjclin

    Article  Google Scholar 

  3. Forastiere AA, Ismaila N, Lewin JS, Nathan CA, Adelstein DJ, Eisbruch A, Fass G, Fisher SG, Laurie SA, Le QT, O’Malley B, Mendenhall WM, Patel S, Pfister DG, Provenzano AF, Weber R, Weinstein GS, Wolf GT (2018) Use of larynx-preservation strategies in the treatment of laryngeal cancer: American Society of Clinical Oncology Clinical Practice Guideline Update. J Clin Oncol 36:1143–1169. https://doi.org/10.1200/JCO.2017.75.7385

    Article  PubMed  Google Scholar 

  4. Crowder SL, Douglas KG, YaninaPepino M, Sarma KP, Arthur AE (2018) Nutrition impact symptoms and associated outcomes in post-chemoradiotherapy head and neck cancer survivors: a systematic review. J Cancer Surviv 12:479–494. https://doi.org/10.1007/s11764-018-0687-7

    Article  PubMed  Google Scholar 

  5. Ringash J, Bernstein LJ, Devins G, Dunphy C, Giuliani M, Martino R, McEwen S (2018) Head and neck cancer survivorship: learning the needs, meeting the needs. Semin Radiat Oncol 28:64–74. https://doi.org/10.1016/j.semradonc.2017.08.008

    Article  PubMed  Google Scholar 

  6. Britton B, Baker AL, Wolfenden L, Wratten C, Bauer J, Beck AK, McCarter K, Harrowfield J, Isenring E, Tang C, Oldmeadow C, Carter G (2019) Eating as treatment (EAT): a stepped-wedge, randomized controlled trial of a health behavior change intervention provided by dietitians to improve nutrition in patients with head and neck cancer undergoing radiation therapy (TROG 12.03). Int J Radiat Oncol Biol Phys 103:353–362. https://doi.org/10.1016/j.ijrobp.2018.09.027

    Article  PubMed  Google Scholar 

  7. Zaorsky NG, Churilla TM, Egleston BL, Fisher SG, Ridge JA, Horwitz EM, Meyer JE (2017) Causes of death among cancer patients. Ann Oncol 28:400–407. https://doi.org/10.1093/annonc/mdw604

    Article  CAS  PubMed  Google Scholar 

  8. Kono T, Sakamoto K, Shinden S, Ogawa K (2017) Pre-therapeutic nutritional assessment for predicting severe adverse events in patients with head and neck cancer treated by radiotherapy. Clin Nutr 36:1681–1685. https://doi.org/10.1016/j.clnu.2016.10.021

    Article  PubMed  Google Scholar 

  9. Xiong Y, Shi LL, Zhu LS, Peng G (2021) Prognostic value of pretreatment prognostic nutritional index and lactated dehydrogenase in locally advanced nasopharyngeal carcinoma patients. Ann Palliat Med 10:4122–4133. https://doi.org/10.21037/apm-20-2033

    Article  PubMed  Google Scholar 

  10. Chang PH, Yeh KY, Wang CH, Chen EY, Yang SW, Huang JS, Chou WC, Hsieh JC (2017) Impact of the pretreatment Glasgow prognostic score on treatment tolerance, toxicities, and survival in patients with advanced head and neck cancer undergoing concurrent chemoradiotherapy. Head Neck 39:1990–1996. https://doi.org/10.1002/hed.24853

    Article  PubMed  Google Scholar 

  11. Amin MB, Greene FL, Edge SB, Compton CC, Gershenwald JE, Brookland RK, Meyer L, Gress DM, Byrd DR, Winchester DP (2017) The Eighth Edition AJCC Cancer Staging Manual: continuing to build a bridge from a population-based to a more “personalized” approach to cancer staging. CA Cancer J Clin 67:93–99. https://doi.org/10.3322/caac.21388

    Article  PubMed  Google Scholar 

  12. Fanetti G, Polesel J, Fratta E, Muraro E, Lupato V, Alfieri S, Gobitti C, Minatel E, Matrone F, Caroli A, Revelant A, Lionello M, ZammattioPolentin V, Ferretti A, Guerrieri R, Chiovati P, Bertolin A, Giacomarra V, Paoli A, Vaccher E, Sartor G, Steffan A, Franchin G (2021) Prognostic nutritional index predicts toxicity in head and neck cancer patients treated with definitive radiotherapy in association with chemotherapy. Nutrients 13:1277. https://doi.org/10.3390/nu13041277

    Article  PubMed  PubMed Central  Google Scholar 

  13. Santos A, Santos IC, Dos Reis PF, Rodrigues VD, Peres WAF (2022) Impact of nutritional status on survival in head and neck cancer patients after total laryngectomy. Nutr Cancer 74:1252–1260. https://doi.org/10.1080/01635581.2021.1952446

    Article  CAS  PubMed  Google Scholar 

  14. Mucha-Małecka A, Chrostowska A, Urbanek K, Małecki K (2019) Prognostic factors in patients with T1 glottic cancer treated with radiotherapy. Strahlenther Onkol 195:792–804. https://doi.org/10.1007/s00066-019-01481-2

    Article  PubMed  PubMed Central  Google Scholar 

  15. Ma J, Yang X, Cao J, Huang M, Jiang J, Wu R (2020) A comparative study of three nutritional risk screening tools in surgical inpatients with laryngeal cancer. Asia Pac J Clin Nutr 29:227–233. https://doi.org/10.6133/apjcn.202007_29(2).0003

    Article  PubMed  Google Scholar 

  16. Daquan W, Tian W, Shen N, Danzheng L, Xinsheng H (2021) Decrement of prognostic nutrition index in laryngeal diseases: from precancerous lesion to squamous cell carcinoma. 141:1070-1074. https://doi.org/10.1080/00016489.2019.1634836

  17. Almasaudi AS, Dolan RD, Edwards CA, McMillan DC (2020) Hypoalbuminemia reflects nutritional risk, body composition and systemic inflammation and is independently associated with survival in patients with colorectal cancer. Cancers (Basel) 12:1986. https://doi.org/10.3390/cancers12071986

    Article  CAS  PubMed  Google Scholar 

  18. Shen Y, Li H, Yuan ZQ, Ren MY, Yu SL, Liao YD, Cai JJ, Liu C, Chen BC, Wu AH, Li GF, Xie L (2020) Low pretreatment PNI correlates with worse survival in patients with stage III/IV NSCLC who received chemotherapy. Neoplasma 67:394–401. https://doi.org/10.4149/neo_2019_190401N284

    Article  CAS  PubMed  Google Scholar 

  19. Gao QL, Shi JG, Huang YD (2021) Prognostic significance of pretreatment prognostic nutritional index (PNI) in patients with nasopharyngeal carcinoma: a meta-analysis. Nutr Cancer 73:1657–1667. https://doi.org/10.1080/01635581.2020.1810715

    Article  PubMed  Google Scholar 

  20. Tamai M, Kiuchi J, Kuriu Y, Arita T, Shimizu H, Ohashi T, Konishi H, Yamamoto Y, Morimura R, Shiozaki A, Ikoma H, Kubota T, Fujiwara H, Okamoto K, Otsuji E (2021) Clinical impact of postoperative prognostic nutritional index in colorectal cancer patients undergoing adjuvant chemotherapy. Am J Cancer Res 11:4947–4955

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Wang Y, Chen L, Zhang B, Song W, Zhou G, Xie L, Yu D (2021) Pretreatment inflammatory-nutritional biomarkers predict responses to neoadjuvant chemoradiotherapy and survival in locally advanced rectal cancer. Front Oncol 17:639909. https://doi.org/10.3389/fonc.2021.639909

    Article  CAS  Google Scholar 

  22. Zhang J, Fu X, Liu D, Yang M, Yang J, Huo Y, Liu W, Hua R, Sun Y, Wang J (2020) Molecular markers associated with perineural invasion in pancreatic ductal adenocarcinoma. Oncol Lett 20:5. https://doi.org/10.3892/ol.2020.11866

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Kheirouri S, Alizadeh M (2021) Prognostic Potential of the preoperative controlling nutritional status (CONUT) score in predicting survival of patients with cancer: a systematic review. 12:234–250. https://doi.org/10.1093/advances/nmaa102

  24. McMillan DC (2013) The systemic inflammation-based Glasgow prognostic score: a decade of experience in patients with cancer. Cancer Treat Rev 39:534–540. https://doi.org/10.1016/j.ctrv.2012.08.003

    Article  PubMed  Google Scholar 

  25. Xu S, Song L, Liu, (2022) Prognostic value of pretreatment glasgow prognostic score/modified Glasgow prognostic score in ovarian cancer: a systematic review and meta-analysis. Nutr Cancer 74:1968–1975. https://doi.org/10.1080/01635581.2021.1980591

    Article  PubMed  Google Scholar 

  26. Wu D, Wang X, Shi G, Sun H, Ge G (2021) Prognostic and clinical significance of modified Glasgow prognostic score in pancreatic cancer: a meta-analysis of 4,629 patients. Aging (Albany NY) 13:1410–1421. https://doi.org/10.18632/aging.202357

    Article  CAS  PubMed  Google Scholar 

  27. Tokuyama N, Takegawa N, Nishikawa M, Sakai A, Mimura T, Kushida S, Tsumura H, Yamamoto Y, Miki I, Tsuda M (2021) Pretreatment Glasgow prognostic score as a predictor of outcomes in nivolumab-treated patients with advanced gastric cancer. PLoS ONE 16:e0247645. https://doi.org/10.1371/journal.pone.0247645

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Higgins MI, Martini DJ, Patil DH, Nabavizadeh R, Steele S, Williams M, Joshi SS, Narayan VM, Sekhar A, Psutka SP, Ogan K, Bilen MA, Master VA (2021) Sarcopenia and modified Glasgow prognostic score predict postsurgical outcomes in localized renal cell carcinoma. Cancer 127:1974–1983. https://doi.org/10.1002/cncr.33462

    Article  PubMed  Google Scholar 

  29. Zhou J, Wei W, Hou H, Ning S, Li J, Huang B, Liu K, Zhang L (2021) Prognostic value of C-reactive protein, Glasgow prognostic score, and C-reactive protein-to-albumin ratio in colorectal cancer. Front Cell Dev Biol 9:637–650. https://doi.org/10.3389/fcell.2021.637650

    Article  Google Scholar 

  30. Pan M, Zhao Y, He J, Wu H, Pan Y, Yu Q, Zhou S (2021) Prognostic value of the glasgow prognostic score on overall survival in patients with advanced non-small cell lung cancer. J Cancer 12:2395–2402. https://doi.org/10.7150/jca.52215

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Fu Y, Chen SW, Chen SQ, Ou-Yang D, Liu WW, Song M, Yang AK, Zhang Q (2016) A preoperative nutritional index for predicting cancer-specific and overall survival in Chinese patients with laryngeal cancer: a retrospective study. Medicine (Baltimore) 95:e2962. https://doi.org/10.1097/MD.0000000000002962

    Article  PubMed  Google Scholar 

  32. Takamizawa Y, Shida D, Boku N, Nakamura Y, Ahiko Y, Yoshida T, Tanabe T, Takashima A, Kanemitsu Y (2020) Nutritional and inflammatory measures predict survival of patients with stage IV colorectal cancer. BMC Cancer 20:1092. https://doi.org/10.1186/s12885-020-07560-3

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Kobayashi T, Hamamoto M, Okazaki T, Tomota M, Fujiwara T, Hasegawa M, Takahashi S (2022) An evaluation of pre-operative nutritional assessment methods in patients with chronic limb threatening ischaemia having distal bypass. Eur J Vasc Endovasc Surg 64:92–100. https://doi.org/10.1016/j.ejvs.2022.03.037

    Article  PubMed  Google Scholar 

  34. Wong VK, Malik HZ, Hamady ZZ, Al-Mukhtar A, Gomez D, Prasad KR, Toogood GJ, Lodge JP (2007) C-reactive protein as a predictor of prognosis following curative resection for colorectal liver metastases. Br J Cancer 96:222–225. https://doi.org/10.1038/sj.bjc.6603558

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Kudou K, Nakashima Y, Haruta Y, Nambara S, Tsuda Y, Kusumoto E, Ando K, Kimura Y, Hashimoto K, Yoshinaga K, Saeki H, Oki E, Sakaguchi Y, Kusumoto T, Ikejiri K, Shimokawa M, Mori M (2021) Comparison of inflammation-based prognostic scores associated with the prognostic impact of adenocarcinoma of esophagogastric junction and upper gastric cancer. Ann Surg Oncol 28:2059–2067. https://doi.org/10.1245/s10434-020-08821-y

    Article  PubMed  Google Scholar 

  36. Kim DH, Kim SW, Hwang SH (2023) Predictive value of risk factors for pharyngocutaneous fistula after total laryngectomy. Laryngoscope 133:742–754. https://doi.org/10.1002/lary.30278

    Article  CAS  PubMed  Google Scholar 

  37. Dang Y, Zhang L, Wang X (2020) Actin-like 6A enhances the proliferative and invasive capacities of laryngeal squamous cell carcinoma by potentiating the activation of YAP signaling. J Bioenerg Biomembr 52:453–463. https://doi.org/10.1007/s10863-020-09855-3

    Article  CAS  PubMed  Google Scholar 

  38. Euteneuer F, Mills PJ, Rief W, Ziegler MG, Dimsdale JE (2012) Association of in vivo β-adrenergic receptor sensitivity with inflammatory markers in healthy subjects. Psychosom Med 74:271–277. https://doi.org/10.1097/PSY.0b013e318245d762

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Levitt DG, Levitt MD (2016) Human serum albumin homeostasis: a new look at the roles of synthesis, catabolism, renal and gastrointestinal excretion, and the clinical value of serum albumin measurement. Int J Gen Med 9:229–255. https://doi.org/10.2147/IJGM.S102819

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Wyse C, O’Malley G, Coogan AN, McConkey S, Smith DJ (2021) Seasonal and daytime variation in multiple immune parameters in humans: evidence from 329,261 participants of the UK Biobank cohort. iScience 24:102255. https://doi.org/10.1016/j.isci.2021.102255

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Xu QQ, Guo LL, Lou JH, Chen L, Wang Y, Chen L, Lu LX (2022) Effect of prophylactic gastrostomy on nutritional and clinical outcomes in patients with head and neck cancer. Eur J Clin Nutr 76:1536–1541. https://doi.org/10.1038/s41430-022-01154-x

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors are grateful for Yang Wang’s assistance in extracting and analyzing the data. Thanks to Dr. Bi and Clinical Research Division, Sun Yat-sen Memorial Hospital, for statistical guidance.

Funding

This work was supported by nurturing funds for young nursing talent at Sun Yat-sen University (No. N2020Y06), Yat-Sen Scholarship for Young Nursing Scientists (YXHL202103), Nursing discipline research project of Chinese Medical Association Journal Press 2022-2023 (CMAPH-NRI2022051), and the National Natural Science Foundation of China (82073408).

Author information

Author notes

  1. Hanxiao Yi, Changlong Chen and Song Zhou contributed equally to this work.

Authors and Affiliations

  1. Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107, YanJiang Road, Guangzhou, Yuexiu District, China

    Hanxiao Yi, Changlong Chen, Yitong Zhou, Jie Chen & Qunying Liang

  2. The Fifth Affiliated Hospital of Sun Yat-Sen University, No.52, Meihua East Road, Xiangzhou District, Zhuhai, China

    Song Zhou

  3. Department of Orthopedics, The Second Affiliated Hospital of Guangzhou Medical University, Guangdong Medical University, No. 250 Changgang Road, Haizhu District, Guangzhou, Guangdong Province, China

    Yang Wang

Authors
  1. Hanxiao Yi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Changlong Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Song Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yang Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yitong Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jie Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Qunying Liang
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Hanxiao Yi first presented the idea and designed the outline of this article. LQY and YHX were responsible for all data extraction and analyses, with the assistance of Changlong Chen and Song Zhou. The final version was revised by Jie Chen and Hanxiao Yi. LQY and YHX were all responsible for the final submission.

Corresponding authors

Correspondence to Jie Chen or Qunying Liang.

Ethics declarations

Authors’ information (optional)

>Malnutrition is an area of study of LQY and YHX, who are researchers at the Sun Yat-Sen Memorial Hospital, focusing on new treatments for cancer patients.

Ethics approval

Ethics approval was granted by the Ethics Committee of the Sun Yat-sen Memorial Hospital of Sun Yat-sen University (SYSKY-2023–049-01) and has been conducted in compliance with the Helsinki Declaration (1996).

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.

Supplementary Information

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

Yi, H., Chen, C., Zhou, S. et al. Comparison of three nutritional assessment methods associated with the prognostic impact of laryngeal cancer. Support Care Cancer 31, 737 (2023). https://doi.org/10.1007/s00520-023-08148-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00520-023-08148-w

Keywords

Search

Navigation