Skip to main content

Advertisement

Log in

The preoperative geriatric nutritional risk index predicts long-term prognosis in elderly locally advanced rectal cancer patients: a two-center retrospective cohort study

  • Original Article
  • Published:
Aging Clinical and Experimental Research Aims and scope Submit manuscript

Abstract

Background

The objective is to explore the value of preoperative geriatric nutritional risk index (GNRI) in evaluating long-term prognosis in elderly locally advanced rectal cancer (LARC) patients who accepted neoadjuvant chemoradiotherapy (NCRT) and to compare GNRI with established nutritional markers, including prognostic nutritional index (PNI) and controlling nutritional status (CONUT) score.

Methods

Preoperative GNRI was retrospectively assessed in 172 LARC patients aged ≥ 60 years who underwent radical resection after NCRT at two centers. Optimal cutoff value of GNRI was determined by X-tile program. The association of GNRI with clinicopathological parameters and nutritional markers was analyzed. The survival ability of markers was evaluated using time-dependent receiver-operating characteristic (ROC) curve analysis. Finally, survival analysis was performed using Kaplan–Meier and Cox regression analysis.

Results

GNRI was highly correlated with nutritional markers. An optimal cutoff value for the GNRI was 96. In the time-dependent ROC curve, GNRI demonstrated a stable predictive ability for both disease-free survival (DFS) and overall survival (OS). Multivariate analysis showed that GNRI was the only nutritional marker that independently predicted DFS (HR 2.457, 95% CI 1.066–5.665, P = 0.035) and OS (HR 9.002, 95% CI 3.100–26.146, P < 0.001). As an additional benefit, GNRI was able to stratify survival in subgroups of ypTNM and tumor response.

Conclusion

Preoperative GNRI is a promising predictor of long-term survival for elderly LARC patients undergoing NCRT, superior to the established nutritional markers.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data availability

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

References

  1. Sung H, Ferlay J, Siegel RL et al (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71:209–249

    Article  Google Scholar 

  2. Siegel RL, Miller KD, Goding Sauer A et al (2020) Colorectal cancer statistics, 2020. CA Cancer J Clin 70:145–164

    Article  Google Scholar 

  3. Qu R, Ma Y, Tao L et al (2021) Features of colorectal cancer in China stratified by anatomic sites: a hospital-based study conducted in university-affiliated hospitals from 2014 to 2018. Chin J Cancer Res 33:500–511

    Article  Google Scholar 

  4. Qu R, Ma Y, Zhang Z et al (2022) Increasing burden of colorectal cancer in China. Lancet Gastroenterol Hepatol 7:700

    Article  Google Scholar 

  5. Liu Z, Meng X, Zhang H et al (2020) Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer. Nat Commun 11:4308

    Article  Google Scholar 

  6. Dossa F, Acuna SA, Rickles AS et al (2018) Association between adjuvant chemotherapy and overall survival in patients with rectal cancer and pathological complete response after neoadjuvant chemotherapy and resection. JAMA Oncol 4:930–937

    Article  Google Scholar 

  7. Fleshman J, Branda ME, Sargent DJ et al (2019) Disease-free survival and local recurrence for laparoscopic resection compared with open resection of stage II to III rectal cancer: follow-up results of the ACOSOG Z6051 randomized controlled trial. Ann Surg 269:589–595

    Article  Google Scholar 

  8. Voss RK, Lin JC, Roper MT et al (2020) Adjuvant chemotherapy does not improve recurrence-free survival in patients with stage 2 or stage 3 rectal cancer after neoadjuvant chemoradiotherapy and total mesorectal excision. Dis Colon Rectum 63:427–440

    Article  Google Scholar 

  9. Fleming FJ, Pahlman L, Monson JR (2011) Neoadjuvant therapy in rectal cancer. Dis Colon Rectum 54:901–912

    Article  Google Scholar 

  10. Thanikachalam K, Khan G (2019) Colorectal cancer and nutrition. Nutrients 11:164

    Article  CAS  Google Scholar 

  11. Pamoukdjian F, Bouillet T, Levy V et al (2018) Prevalence and predictive value of pre-therapeutic sarcopenia in cancer patients: a systematic review. Clin Nutr 37:1101–1113

    Article  Google Scholar 

  12. Tisdale MJ (2002) Cachexia in cancer patients. Nat Rev Cancer 2:862–871

    Article  CAS  Google Scholar 

  13. Gyan E, Raynard B, Durand JP et al (2018) Malnutrition in patients with cancer: comparison of perceptions by patients, relatives, and physicians-results of the nutricancer2012 Study. JPEN J Parenter Enteral Nutr 42:255–260

    Google Scholar 

  14. Aaldriks AA, van der Geest LG, Giltay EJ et al (2013) Frailty and malnutrition predictive of mortality risk in older patients with advanced colorectal cancer receiving chemotherapy. J Geriatr Oncol 4:218–226

    Article  Google Scholar 

  15. Okadome K, Baba Y, Yagi T et al (2020) Prognostic nutritional index, tumor-infiltrating lymphocytes, and prognosis in patients with esophageal cancer. Ann Surg 271:693–700

    Article  Google Scholar 

  16. Guc ZG, Altay C, Ozgul HA et al (2022) GNRI and conut scores: simple predictors of sarcopenia in metastatic colorectal cancer patients. Support Care Cancer 30:7845

    Article  Google Scholar 

  17. Liao CK, Chern YJ, Hsu YJ et al (2021) The clinical utility of the geriatric nutritional risk index in predicting postoperative complications and long-term survival in elderly patients with colorectal cancer after curative surgery. Cancers (Basel) 13:5852

    Article  Google Scholar 

  18. Bouillanne O, Morineau G, Dupont C et al (2005) Geriatric nutritional risk index: a new index for evaluating at-risk elderly medical patients. Am J Clin Nutr 82:777–783

    Article  CAS  Google Scholar 

  19. 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 26:456–464

    Article  Google Scholar 

  20. Buzby GP, Mullen JL, Matthews DC et al (1980) Prognostic nutritional index in gastrointestinal surgery. Am J Surg 139:160–167

    Article  CAS  Google Scholar 

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

    CAS  Google Scholar 

  22. Ryan AM, Power DG, Daly L et al (2016) Cancer-associated malnutrition, cachexia and sarcopenia: the skeleton in the hospital closet 40 years later. Proc Nutr Soc 75:199–211

    Article  Google Scholar 

  23. Hino H, Saito T, Matsui H et al (2020) Utility of geriatric nutritional risk index in patients with lung cancer undergoing surgery. Eur J Cardiothorac Surg 58:775–782

    Article  Google Scholar 

  24. Nakayama M, Gosho M, Adachi M et al (2021) The geriatric nutritional risk index as a prognostic factor in patients with advanced head and neck cancer. Laryngoscope 131:E151–E156

    Article  CAS  Google Scholar 

  25. Hanahan D (2022) Hallmarks of cancer: new dimensions. Cancer Discov 12:31–46

    Article  CAS  Google Scholar 

  26. Hirata T, Arai Y, Yuasa S et al (2020) Associations of cardiovascular biomarkers and plasma albumin with exceptional survival to the highest ages. Nat Commun 11:3820

    Article  CAS  Google Scholar 

  27. 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

    Article  Google Scholar 

  28. Liu Z, Lu S, Wang Y et al (2022) Impact of body composition during neoadjuvant chemoradiotherapy on complications, survival and tumor response in patients with locally advanced rectal cancer. Front Nutr 9:796601

    Article  Google Scholar 

  29. Ubachs J, Ziemons J, Minis-Rutten IJG et al (2019) Sarcopenia and ovarian cancer survival: a systematic review and meta-analysis. J Cachexia Sarcopenia Muscle 10:1165–1174

    Article  Google Scholar 

  30. Feliciano EMC, Kroenke CH, Meyerhardt JA et al (2017) Association of systemic inflammation and sarcopenia with survival in nonmetastatic colorectal cancer: results from the C SCANS Study. JAMA Oncol 3:e172319

    Article  Google Scholar 

  31. Matsukawa T, Suto K, Kanaya M et al (2020) Validation and comparison of prognostic values of GNRI, PNI, and CONUT in newly diagnosed diffuse large B cell lymphoma. Ann Hematol 99:2859–2868

    Article  Google Scholar 

  32. Wang YY, Liu ZZ, Xu D et al (2019) Fibrinogen-albumin ratio index (FARI): a more promising inflammation-based prognostic marker for patients undergoing hepatectomy for colorectal liver metastases. Ann Surg Oncol 26:3682–3692

    Article  Google Scholar 

  33. Stanojcic M, Chen P, Xiu F et al (2016) Impaired immune response in elderly burn patients: new insights into the immune-senescence phenotype. Ann Surg 264:195–202

    Article  Google Scholar 

  34. Breugom AJ, Swets M, Bosset JF et al (2015) Adjuvant chemotherapy after preoperative (chemo)radiotherapy and surgery for patients with rectal cancer: a systematic review and meta-analysis of individual patient data. Lancet Oncol 16:200–207

    Article  CAS  Google Scholar 

  35. Feliu J, Heredia-Soto V, Girones R et al (2020) Management of the toxicity of chemotherapy and targeted therapies in elderly cancer patients. Clin Transl Oncol 22:457–467

    Article  CAS  Google Scholar 

  36. Cho JH, Faragher IG (2010) Tumor regression grade and rectal cancer. Dis Colon Rectum 53:362

    Article  Google Scholar 

  37. Hirahara N, Tajima Y, Fujii Y et al (2021) Prediction of postoperative complications and survival after laparoscopic gastrectomy using preoperative geriatric nutritional risk index in elderly gastric cancer patients. Surg Endosc 35:1202–1209

    Article  Google Scholar 

  38. Lidoriki I, Schizas D, Frountzas M et al (2021) GNRI as a prognostic factor for outcomes in cancer patients: a systematic review of the literature. Nutr Cancer 73:391–403

    Article  Google Scholar 

  39. Riveros C, Jazayeri SB, Chalfant V et al (2022) The geriatric nutritional risk index predicts postoperative outcomes in bladder cancer: a propensity score-matched analysis. J Urol 207:797–804

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by grants from Peking University Third Hospital United-Imaging Research Institution Intelligentical Imaging Joint Research & Development Center Foundation (H79462-07), the National Natural Science Foundation of China (Grant No. 62173005), the Natural Science Foundation of Beijing (Grant No.7204324), the special fund of the National Clinical Key Specialty Construction Program, P. R. China (2021), and the National multidisciplinary cooperative diagnosis and treatment capacity building project for major diseases: comprehensive diagnosis and treatment of gastrointestinal tumors.

Author information

Authors and Affiliations

Authors

Contributions

SYL, XNL and XML collected and analyzed data and wrote the manuscript. XML and RP contributed to data collection. YXW and HW contributed to the follow-up. QXZ and HW provided the intellectual contributions. HW and WF supervised the project, discussed data analysis, and reviewed the manuscript.

Corresponding authors

Correspondence to Wei Fu or Hao Wang.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

Ethical approval

According to Helsinki Declaration tenets, the Ethics Review Board of Peking University Third Hospital approved this study (IRB00006761-M2019387).

Informed consent

The Institutional Review Board of the Third Hospital of Peking University granted a waiver of informed consent.

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

Lu, S., Li, X., Li, X. et al. The preoperative geriatric nutritional risk index predicts long-term prognosis in elderly locally advanced rectal cancer patients: a two-center retrospective cohort study. Aging Clin Exp Res 35, 311–321 (2023). https://doi.org/10.1007/s40520-022-02297-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40520-022-02297-4

Keywords

Navigation