Skip to main content
Log in

Prognostic Significance of Preoperative Osteopenia in Patients Undergoing Esophagectomy for Esophageal Cancer

  • Original Scientific Report
  • Published:
World Journal of Surgery Aims and scope Submit manuscript

A Correction to this article was published on 11 August 2021

This article has been updated

Abstract

Background

Osteopenia, which exhibits low bone mineral density (BMD), has been linked to sarcopenia and recently reported as a prognostic factor in various cancers. However, the prognostic significance of osteopenia in esophageal cancer remains unclear. Hence, this study aimed to clarify the impact of osteopenia on the prognosis of patients undergoing esophagectomy for esophageal cancer.

Methods

We included 229 patients who underwent esophagectomy. BMD was calculated as the average pixel density (Hounsfield unit) within a circle in midvertebral core at the 11th thoracic vertebra on preoperative computed tomography. We then divided the patients into the Osteopenia group (n = 159) and the Non-Osteopenia group (n = 70) according to the optimal cutoff value obtained from the receiver operating characteristic curve. Their clinicopathological data, prognosis, and recurrence were analyzed.

Results

The mean age was significantly older in the Osteopenia group (p = 0.047). The Osteopenia group had significantly worse overall survival (OS) and relapse-free survival (RFS) than the Non-Osteopenia group (p = 0.001 and p = 0.012, respectively). Multivariate analysis revealed osteopenia was an independent prognostic factor for OS (p < 0.001; hazard ratio [HR], 2.243; 95% confidence interval [CI], 1.422–3.538) and RFS (p = 0.008; HR, 1.739; 95% CI, 1.154–2.620). In logistic regression model, advanced age and cStage III-IV were independent risk factors for preoperative osteopenia.

Conclusions

Preoperative osteopenia is associated with poor survival and recurrence in patients undergoing esophagectomy for esophageal cancer.

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

Change history

References

  1. Napier KJ, Scheerer M, Misra S (2014) Esophageal cancer: a review of epidemiology, pathogenesis, staging workup and treatment modalities. World J gastrointest oncol 6:112–120

    Article  PubMed  PubMed Central  Google Scholar 

  2. Fujita H, Kakegawa T, Yamana H et al (1995) Mortality and morbidity rates, postoperative course, quality of life, and prognosis after extended radical lymphadenectomy for esophageal cancer. Comparison of three-field lymphadenectomy with two-field lymphadenectomy. Ann Surg 222:654–662

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Takeuchi H, Miyata H, Gotoh M et al (2014) A risk model for esophagectomy using data of 5354 patients included in a Japanese nationwide web-based database. Ann Surg 260:259–266

    Article  PubMed  Google Scholar 

  4. Mariette C, Piessen G, Triboulet JP (2007) Therapeutic strategies in oesophageal carcinoma: role of surgery and other modalities. Lancet Oncol 8:545–553

    Article  PubMed  Google Scholar 

  5. Baba Y, Yoshida N, Shigaki H et al (2016) Prognostic impact of postoperative complications in 502 patients with surgically resected esophageal squamous cell carcinoma: a retrospective single-institution study. Ann Surg 264:305–311

    Article  PubMed  Google Scholar 

  6. Saeki H, Tsutsumi S, Tajiri H et al (2017) Prognostic significance of postoperative complications after curative resection for patients with esophageal squamous cell carcinoma. Ann Surg 265:527–533

    Article  PubMed  Google Scholar 

  7. Verschueren S, Gielen E, O’Neill TW et al (2013) Sarcopenia and its relationship with bone mineral density in middle-aged and elderly European men. Osteoporos Int J Established Result Cooperation Between Eur Found Osteoporos National Osteoporos Found USA 24:87–98

    Article  CAS  Google Scholar 

  8. Seeman E, Hopper JL, Young NR et al (1996) Do genetic factors explain associations between muscle strength, lean mass, and bone density? A twin study. Am J Physiol 270:E320-327

    CAS  PubMed  Google Scholar 

  9. Blain H, Jaussent A, Thomas E et al (2010) Appendicular skeletal muscle mass is the strongest independent factor associated with femoral neck bone mineral density in adult and older men. Exp Gerontol 45:679–684

    Article  PubMed  Google Scholar 

  10. Coin A, Perissinotto E, Enzi G et al (2008) Predictors of low bone mineral density in the elderly: the role of dietary intake, nutritional status and sarcopenia. Eur J Clin Nutr 62:802–809

    Article  CAS  PubMed  Google Scholar 

  11. Zofková I (2008) Hormonal aspects of the muscle-bone unit. Physiol Res 57(Suppl 1):S159-169

    Article  PubMed  Google Scholar 

  12. Nakashima Y, Saeki H, Nakanishi R et al (2018) Assessment of sarcopenia as a predictor of poor outcomes after esophagectomy in elderly patients with esophageal cancer. Ann Surg 267:1100–1104

    Article  PubMed  Google Scholar 

  13. Takahashi K, Watanabe M, Kozuki R et al (2019) Prognostic significance of skeletal muscle loss during early postoperative period in elderly patients with esophageal cancer. Ann Surg Oncol 26:3727–3735

    Article  PubMed  Google Scholar 

  14. Martin L, Birdsell L, Macdonald N et al (2013) Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol Offi J Am Soc Clin Oncol 31:1539–1547

    Article  Google Scholar 

  15. Prado CM, Lieffers JR, McCargar LJ et al (2008) Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol 9:629–635

    Article  PubMed  Google Scholar 

  16. Harimoto N, Shirabe K, Yamashita YI et al (2013) Sarcopenia as a predictor of prognosis in patients following hepatectomy for hepatocellular carcinoma. Br J Surg 100:1523–1530

    Article  CAS  PubMed  Google Scholar 

  17. Sharma P, Parikh ND, Yu J et al (2016) Bone mineral density predicts posttransplant survival among hepatocellular carcinoma liver transplant recipients. Liver Transplant Off Publ Am Assoc Study Liver Dis Int Liver Transplant Soc 22:1092–1098

    Google Scholar 

  18. Motomura T, Uchiyama H, Iguchi T et al (2020) Impact of osteopenia on oncologic outcomes after curative resection for pancreatic cancer. vivo Athens Greece 34:3551–3557

    Google Scholar 

  19. Miyachi Y, Kaido T, Yao S et al (2019) Bone mineral density as a risk factor for patients undergoing surgery for hepatocellular carcinoma. World J Surg 43:920–928. https://doi.org/10.1007/s00268-018-4861-x

    Article  PubMed  Google Scholar 

  20. Yao S, Kaido T, Okumura S et al (2019) Bone mineral density correlates with survival after resection of extrahepatic biliary malignancies. Clin Nutr (Edinburgh, Scotland) 38:2770–2777

    Article  Google Scholar 

  21. Sobin LH, Compton CC (2010) TNM seventh edition: what’s new, what’s changed: communication from the international union against cancer and the American joint committee on cancer. Cancer 116:5336–5339

    Article  PubMed  Google Scholar 

  22. Kanda Y (2013) Investigation of the freely available easy-to-use software “EZR” for medical statistics. Bone Marrow Transplant 48:452–458

    Article  CAS  PubMed  Google Scholar 

  23. Marshall D, Johnell O, Wedel H (1996) Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ (Clin Res ed) 312:1254–1259

    Article  CAS  Google Scholar 

  24. Cosman F, de Beur SJ, LeBoff MS et al (2014) Clinician’s guide to prevention and treatment of osteoporosis. Osteoporos Int J Establ Result Cooperation Between Eur Found Osteoporos National Osteoporos Found USA 25:2359–2381

    Article  CAS  Google Scholar 

  25. Pickhardt PJ, Pooler BD, Lauder T et al (2013) Opportunistic screening for osteoporosis using abdominal computed tomography scans obtained for other indications. Ann Intern Med 158:588–595

    Article  PubMed  PubMed Central  Google Scholar 

  26. Toshima T, Yoshizumi T, Ikegami T et al (2018) Impact of osteopenia in liver cirrhosis: special reference to standard bone mineral density with age. Anticancer Res 38:6465–6471

    Article  PubMed  Google Scholar 

  27. Raisz LG (2005) Pathogenesis of osteoporosis: concepts, conflicts, and prospects. J Clin Investig 115:3318–3325

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Lumachi F, Basso SMM, Camozzi V et al (2018) Bone mineral density as a potential predictive factor for luminal-type breast cancer in postmenopausal women. Anticancer Res 38:3049–3054

    CAS  PubMed  Google Scholar 

  29. Rosario M, Takeuchi A, Yamamoto N et al (2017) Pathogenesis of osteosclerotic change following treatment with an antibody against RANKL for giant cell tumour of the bone. Anticancer Res 37:749–754

    Article  CAS  PubMed  Google Scholar 

  30. Pluijm SM, Visser M, Smit JH et al (2001) Determinants of bone mineral density in older men and women: body composition as mediator. J Bone Miner Res Off J American Soc Bone Miner Res 16:2142–2151

    Article  CAS  Google Scholar 

  31. Furukawa K, Haruki K, Taniai T et al (2021) Osteosarcopenia is a potential predictor for the prognosis of patients who underwent hepatic resection for colorectal liver metastases. Ann Gastroenterol Surg 5(3):390–398

    Article  PubMed  PubMed Central  Google Scholar 

  32. Toshima T, Yoshizumi T, Kosai-Fujimoto Y et al (2020) Prognostic Impact of osteopenia in patients who underwent living donor liver transplantation for hepatocellular carcinoma. World J Surg 44:258–267. https://doi.org/10.1007/s00268-019-05206-5

    Article  PubMed  Google Scholar 

  33. Chen CW, Tsai HL, Yeh YS et al (2013) Osteoporosis self-assessment tool for Asians as a simple risk index of identifying a poor prognosis in women surgically treated for colorectal cancer. J Surg Res 181:242–249

    Article  PubMed  Google Scholar 

  34. Ramin C, May BJ, Roden RBS et al (2018) Evaluation of osteopenia and osteoporosis in younger breast cancer survivors compared with cancer-free women: a prospective cohort study. Breast Cancer Res BCR 20:134

    Article  CAS  PubMed  Google Scholar 

  35. Jones DH, Nakashima T, Sanchez OH et al (2006) Regulation of cancer cell migration and bone metastasis by RANKL. Nature 440:692–696

    Article  CAS  PubMed  Google Scholar 

  36. Morony S, Capparelli C, Sarosi I et al (2001) Osteoprotegerin inhibits osteolysis and decreases skeletal tumor burden in syngeneic and nude mouse models of experimental bone metastasis. Can Res 61:4432–4436

    CAS  Google Scholar 

  37. Roodman GD, Dougall WC (2008) RANK ligand as a therapeutic target for bone metastases and multiple myeloma. Cancer Treat Rev 34:92–101

    Article  CAS  PubMed  Google Scholar 

  38. Calvi LM, Adams GB, Weibrecht KW et al (2003) Osteoblastic cells regulate the haematopoietic stem cell niche. Nature 425:841–846

    Article  CAS  PubMed  Google Scholar 

  39. Loser K, Mehling A, Loeser S et al (2006) Epidermal RANKL controls regulatory T-cell numbers via activation of dendritic cells. Nat Med 12:1372–1379

    Article  CAS  PubMed  Google Scholar 

  40. Yamada D, Eguchi H, Iwagami Y et al (2017) Patients treated with preoperative chemoradiation for pancreatic ductal adenocarcinoma have impaired bone density, a predictor of distant metastasis. Ann Surg Oncol 24:3715–3724

    Article  PubMed  Google Scholar 

  41. Deeb KK, Trump DL, Johnson CS (2007) Vitamin D signalling pathways in cancer: potential for anticancer therapeutics. Nat Rev Cancer 7:684–700

    Article  CAS  PubMed  Google Scholar 

  42. Müller K, Odum N, Bendtzen K (1993) 1,25-dihydroxyvitamin D3 selectively reduces interleukin-2 levels and proliferation of human T cell lines in vitro. Immunol Lett 35:177–182

    Article  PubMed  Google Scholar 

  43. Gurlek A, Pittelkow MR, Kumar R (2002) Modulation of growth factor/cytokine synthesis and signaling by 1alpha,25-dihydroxyvitamin D(3): implications in cell growth and differentiation. Endocr Rev 23:763–786

    Article  CAS  PubMed  Google Scholar 

  44. Zhou W, Heist RS, Liu G et al (2007) Circulating 25-hydroxyvitamin D levels predict survival in early-stage non-small-cell lung cancer patients. J Clin Oncol Off J Am Soc Clinical Oncol 25:479–485

    Article  CAS  Google Scholar 

  45. Akiba T, Morikawa T, Odaka M et al (2018) Vitamin D supplementation and survival of patients with non-small cell lung cancer: a randomized, double-blind, placebo-controlled trial. Clin Cancer Res Off J Am Assoc Cancer Res 24:4089–4097

    Article  CAS  Google Scholar 

  46. Ng K, Meyerhardt JA, Wu K et al (2008) Circulating 25-hydroxyvitamin d levels and survival in patients with colorectal cancer. J Clin Oncol Off J Am Soc Clinoncol 26:2984–2991

    Article  CAS  Google Scholar 

Download references

Acknowledgements

There is no grant support for this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Keita Takahashi.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Human and animal rights

This study protocol was approved by the Institutional Review Board of the Jikei University School of Medicine (28–321).

Informed consent

The need for informed consent was waived because of the retrospective design of the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The original online version of this article has been revised: Table 3 was corrected.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Takahashi, K., Nishikawa, K., Furukawa, K. et al. Prognostic Significance of Preoperative Osteopenia in Patients Undergoing Esophagectomy for Esophageal Cancer. World J Surg 45, 3119–3128 (2021). https://doi.org/10.1007/s00268-021-06199-w

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00268-021-06199-w

Navigation