Skip to main content

Advertisement

Log in

Usefulness of the preoperative inflammation-based prognostic score and the ratio of visceral fat area to psoas muscle area on predicting survival for surgically resected adenocarcinoma of the esophagogastric junction

  • Original Article
  • Published:
Esophagus Aims and scope Submit manuscript

Abstract

Background

Sarcopenic obesity is associated with gastrointestinal cancer prognosis through systemic inflammation. However, in patients with adenocarcinoma of the esophagogastric junction (AEG), the relationship between the inflammation-based prognostic score (IBPS), muscle loss, visceral fat mass, and prognosis has not been sufficiently evaluated. We investigated the prognostic value of the preoperative IBPS and the visceral fat area ratio to the psoas muscle area (V/P ratio) in patients with AEG undergoing surgery.

Methods

We retrospectively analyzed 92 patients with AEG who underwent surgery. The prognostic value of the preoperative neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio, systemic inflammation response index, C-reactive protein-to-albumin ratio, prognostic nutritional index, modified Glasgow Prognostic Score, and V/P ratio at the third lumbar vertebra was investigated using univariate and multivariate survival analyses.

Results

Multivariate analysis revealed that a high pathological stage (p = 0.0065), high PLR (p = 0.0421), and low V/P ratio (p = 0.0053) were independent prognostic factors for poor overall survival (OS). When restricted to patients with body mass index (BMI) ≥ 25 kg/m2, a high V/P ratio was a poor prognostic factor (p = 0.0463) for OS. Conversely, when restricted to patients with BMI < 25 kg/m2, a low V/P ratio was a poor prognostic factor (p = 0.0021) for OS.

Conclusions

Both PLR and V/P ratios may be useful prognostic biomarkers in surgical cases of AEG. V/P ratio and BMI may provide an accurate understanding of the muscle and fat mass’s precise nature and may help predict AEG prognosis.

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

Similar content being viewed by others

Data availability

Data are available on reasonable request. The data are available from the corresponding author, MS, on reasonable request.

References

  1. Donini LM, Busetto L, Bauer JM, et al. Critical appraisal of definitions and diagnostic criteria for sarcopenic obesity based on a systematic review. Clin Nutr. 2020;39:2368–88. https://doi.org/10.1016/j.clnu.2019.11.024.

    Article  PubMed  Google Scholar 

  2. Cappellari GG, Brasacchio C, Laudisio D, et al. Sarcopenic obesity: What about in the cancer setting? Nutrition. 2022;98: 111624. https://doi.org/10.1016/j.nut.2022.111624.

    Article  Google Scholar 

  3. Lauby-Secretan B, Scoccianti C, Loomis D, et al. Body fatness and cancer-viewpoint of the IARC Working Group. N Engl J Med. 2016;375:794–8. https://doi.org/10.1056/NEJMsr1606602.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Petrelli F, Cortellini A, Indini A, et al. Association of obesity with survival outcomes in patients with cancer: a systematic review and meta-analysis. JAMA Netw Open. 2021;4: e213520. https://doi.org/10.1001/jamanetworkopen.2021.3520.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Imamura Y, Watanabe M, Oki E, et al. Esophagogastric junction adenocarcinoma shares characteristics with gastric adenocarcinoma: literature review and retrospective multicenter cohort study. Ann Gastroenterol Surg. 2021;5:46–59. https://doi.org/10.1002/ags3.12406.

    Article  PubMed  Google Scholar 

  6. Elliott JA, Reynolds JV. Visceral obesity, metabolic syndrome, and esophageal adenocarcinoma. Front Oncol. 2021;11: 627270. https://doi.org/10.3389/fonc.2021.627270.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Abbass T, Dolan RD, Laird BJ, et al. The relationship between imaging-based body composition analysis and the systemic inflammatory response in patients with cancer: a systematic review. Cancers (Basel). 2019;11:1304. https://doi.org/10.3390/cancers11091304.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Woodall MJ, Neumann S, Campbell K, et al. The effects of obesity on anti-cancer immunity and cancer immunotherapy. Cancers (Basel). 2020;12:1230. https://doi.org/10.3390/cancers12051230.

    Article  CAS  PubMed  Google Scholar 

  9. Xu X, Jing J. Inflammation-related parameter serve as prognostic biomarker in esophageal squamous cell carcinoma. Front Oncol. 2022;12: 900305. https://doi.org/10.3389/fonc.2022.900305.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Urabe M, Yamashita H, Watanabe T, et al. Comparison of prognostic abilities among preoperative laboratory data indices in patients with resectable gastric and esophagogastric junction adenocarcinoma. World J Surg. 2018;42:185–94. https://doi.org/10.1007/s00268-017-4146-9.

    Article  PubMed  Google Scholar 

  11. Zhang L, Su Y, Chen Z, et al. The prognostic value of preoperative inflammation based prognostic scores and nutritional status for overall survival in resected patients with nonmetastatic Siewert type II/III adenocarcinoma of esophagogastric junction. Medicine (Baltimore). 2017;96: e7647. https://doi.org/10.1097/md.0000000000007647.

    Article  PubMed  Google Scholar 

  12. Zhou X, Du Y, Huang Z, et al. Prognostic value of PLR in various cancers: a meta-analysis. PLoS ONE. 2014;9: e101119. https://doi.org/10.1371/journal.pone.0101119.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  13. Ishibashi Y, Tsujimoto H, Hiraki S, et al. Prognostic value of preoperative systemic immunoinflammatory measures in patients with esophageal cancer. Ann Surg Oncol. 2018;25:3288–99. https://doi.org/10.1245/s10434-018-6651-y.

    Article  PubMed  Google Scholar 

  14. Deng Q, He B, Liu X, et al. Prognostic value of pre-operative inflammatory response biomarkers in gastric cancer patients and the construction of a predictive model. J Transl Med. 2015;13:66. https://doi.org/10.1186/s12967-015-0409-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Kudou K, Nakashima Y, Haruta Y, et al. Comparison of inflammation-based prognostic scores associated with the prognostic impact of adenocarcinoma of esophagogastric junction and upper gastric cancer. Ann Surg Oncol. 2021;28:2059–67. https://doi.org/10.1245/s10434-020-08821-y.

    Article  PubMed  Google Scholar 

  16. Lee S, Oh SY, Kim SH, et al. Prognostic significance of neutrophil lymphocyte ratio and platelet lymphocyte ratio in advanced gastric cancer patients treated with FOLFOX chemotherapy. BMC Cancer. 2013;22:350. https://doi.org/10.1186/1471-2407-13-350.

    Article  CAS  Google Scholar 

  17. Schietroma M, Romano L, Schiavi D, et al. Systemic inflammation response index (SIRI) as predictor of anastomotic leakage after total gastrectomy for gastric cancer. Surg Oncol. 2022;43: 101791. https://doi.org/10.1016/j.suronc.2022.101791.

    Article  PubMed  Google Scholar 

  18. Sakai M, Sohda M, Uchida S, et al. Impact of the ratio of visceral fat area (VFA) to psoas muscle area (PMA) (V/P ratio) on survival for surgically resected esophageal cancer. Ann Surg Oncol. 2022;29:4465–71. https://doi.org/10.1245/s10434-022-11497-1.

    Article  Google Scholar 

  19. Proctor MJ, Morrison DS, Talwar D, et al. An inflammation-based prognostic score (mGPS) predicts cancer survival independent of tumour site: A Glasgow inflammation outcome study. Br J Cancer. 2011;104:726–34. https://doi.org/10.1038/sj.bjc.6606087.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Examination Committee of Criteria for 'Obesity Disease' in Japan, Japan Society for the Study of Obesity. New criteria for ‘obesity disease’ in Japan. Circ J. 2002;66:987–992. https://doi.org/10.1253/circj.66.987

  21. Bambace NM, Holmes CE. The platelet contribution to cancer progression. J Thromb Haemost. 2011;9:237–49. https://doi.org/10.1111/j.1538-7836.2010.04131.x.

    Article  CAS  PubMed  Google Scholar 

  22. Kitayama J, Yasuda K, Kawai K, et al. Circulating lymphocyte is an important determinant of the effectiveness of preoperative radiotherapy in advanced rectal cancer. BMC Cancer. 2011;11:64. https://doi.org/10.1186/1471-2407-11-64.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Mei Z, Liu Y, Liu C, et al. Tumour-infiltrating inflammation and prognosis in colorectal cancer: systematic review and meta-analysis. Br J Cancer. 2014;110:1595–605. https://doi.org/10.1038/bjc.2014.46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Fogar P, Sperti C, Basso D, et al. Decreased total lymphocyte counts in pancreatic cancer: an index of adverse outcome. Pancreas. 2006;32:22–8. https://doi.org/10.1097/01.mpa.0000188305.90290.50.

    Article  PubMed  Google Scholar 

  25. Carneiro IP, Mazurak VC, Prado CM. Clinical implications of sarcopenic obesity in cancer. Curr Oncol Rep. 2016;18:62. https://doi.org/10.1007/s11912-016-0546-5.

    Article  PubMed  Google Scholar 

  26. Kalinkovich A, Livshits G. Sarcopenic obesity or obese sarcopenia: A cross talk between age-associated adipose tissue and skeletal muscle inflammation as a main mechanism of the pathogenesis. Ageing Res Rev. 2017;35:200–21. https://doi.org/10.1016/j.arr.2016.09.008.

    Article  CAS  PubMed  Google Scholar 

  27. Batsis JA, Villareal DT. Sarcopenic obesity in older adults: aetiology, epidemiology and treatment strategies. Nat Rev Endocrinol. 2018;14:513–37. https://doi.org/10.1038/s41574-018-0062-9.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Harada K, Yoshifumi B, Ishimoto T, et al. Low visceral content is associated with poor prognosis in a database of 507 upper gastrointestinal cancers. Ann Surg Oncol. 2015;22:3946–53. https://doi.org/10.1245/s10434-015-4432-4.

    Article  PubMed  Google Scholar 

  29. Matsui R, Inaki N, Tsuji T. Impact of visceral adipose tissue on long-term outcomes after gastrectomy for advanced gastric cancer. Nutrition. 2022;97: 111619. https://doi.org/10.1016/j.nut.2022.111619.

    Article  PubMed  Google Scholar 

  30. Shen W, Punyanitya M, Wang Z, et al. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol. 1985;2004(97):2333–8. https://doi.org/10.1152/japplphysiol.00744.2004.

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank Editage (https://www.editage.jp) for the English language review.

Funding

The authors did not receive financial support from any funding sources for this study.

Author information

Authors and Affiliations

Authors

Contributions

SU collected the data, wrote the manuscript, and prepared the figures. KT, TW, YS, NN, KK, AS, TY, MS, HO, KS, and HS revised the manuscript and provided comments regarding the structure and details of the article. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Makoto Sohda.

Ethics declarations

Conflict of interest

The authors have no conflict of interest to declare.

Ethical statement

The study protocol was approved by the Institutional Review Board of Gunma University Hospital (approval no. HS2021-134). The study followed the ethical standards of the Declaration of Helsinki and its subsequent amendments.

Human rights statement and informed consent

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964 and its later versions. Informed consent was obtained through an opt-out process on the website.

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

Uchida, S., Sohda, M., Tateno, K. et al. Usefulness of the preoperative inflammation-based prognostic score and the ratio of visceral fat area to psoas muscle area on predicting survival for surgically resected adenocarcinoma of the esophagogastric junction. Esophagus 21, 157–164 (2024). https://doi.org/10.1007/s10388-023-01034-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10388-023-01034-8

Keywords

Navigation