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Prognostic significance of the mean corpuscular volume (MCV) and red cell distribution width (RDW) in obstructive colorectal cancer patients with a stent inserted as a bridge to curative surgery

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A Correction to this article was published on 03 June 2022

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Abstract

Purpose

The prognostic significance of the mean corpuscular volume (MCV) and red cell distribution width (RDW) in patients with malignancy have not been intensely investigated and are largely overlooked. We, therefore, investigated the clinical significance of MCV and RDW in non-metastatic obstructive colorectal cancer (OCRC) patients with a self-expandable metallic stent inserted as a bridge to curative surgery.

Methods

Eighty-five pathological stage II and III OCRC patients were retrospectively evaluated. The associations of the preoperative MCV and RDW values with short- and long-term outcomes were examined.

Results

There were 50 males and 35 females, and the median age was 71 years old. The median interval between stenting and surgery was 17 days, and the median postoperative hospital stay was 16 days. Fifty-six patients were in the MCV ≥ 87 group, and 47 were in the RDW ≥ 13.8 group. Multivariate analyses revealed the MCV ≥ 87 status to be independently associated with a poor relapse-free survival (hazard ratio [HR] = 4.70, 95% confidence interval [CI] 1.52–14.58, P = 0.007). The RDW ≥ 13.8% was an independent predictor of postoperative infectious complications (HR = 7.28, 95% CI 1.24–42.70, P = 0.028).

Conclusion

The MCV and RDW are simple but strong predictors of postoperative outcomes in OCRC patients.

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References

  1. The Global Cancer Observatory. 2020. https://gco.iarc.fr/ Accessed 6 Dec 2021.

  2. McCullough JA, Engledow AH. Treatment options in obstructed left-sided colonic cancer. Clin Oncol (R Coll Radiol). 2010;22:764–70.

    CAS  PubMed  Google Scholar 

  3. Matsuda A, Miyashita M, Matsumoto S, Matsutani T, Sakurazawa N, Takahashi G, et al. Comparison of long-term outcomes of colonic stent as “bridge to surgery” and emergency surgery for malignant large-bowel obstruction: a meta-analysis. Ann Surg Oncol. 2015;22:497–504.

    PubMed  Google Scholar 

  4. van Hooft JE, Veld JV, Arnold D, Beets-Tan RGH, Everett S, Götz M, et al. Self-expandable metal stents for obstructing colonic and extracolonic cancer: European Society of Gastrointestinal Endoscopy (ESGE) Guideline—Update 2020. Endoscopy. 2020;52:389–407.

    PubMed  Google Scholar 

  5. Dohomoto M. New method-endoscopic implantation of rectal stent in palliative treatment of malignant stenosis. Endosc Dig. 1991;3:1507–12.

    Google Scholar 

  6. Amelung FJ, Burghgraef TA, Tanis PJ, van Hooft JE, Ter Borg F, Siersema PD, et al. Critical appraisal of oncological safety of stent as bridge to surgery in left-sided obstructing colon cancer; a systematic review and meta-analysis. Crit Rev Oncol Hematol. 2018;131:66–75.

    PubMed  Google Scholar 

  7. Ribeiro IB, Bernardo WM, Martins BDC, de Moura DTH, Baba ER, Josino IR, et al. Colonic stent versus emergency surgery as treatment of malignant colonic obstruction in the palliative setting: a systematic review and meta-analysis. Endosc Int Open. 2018;6:E558–67.

    PubMed  PubMed Central  Google Scholar 

  8. Kuwai T, Tamaru Y, Kusunoki R, Yoshida S, Matsuzawa T, Isayama H, et al. Long-term outcomes of standardized colonic stenting using WallFlex as a bridge to surgery: multicenter prospective cohort study. Dig Endosc. 2021. https://doi.org/10.1111/den.14137.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Nagai H, Yuasa N, Takeuchi E, Miyake H, Yoshioka Y, Miyata K. The mean corpuscular volume as a prognostic factor for colorectal cancer. Surg Today. 2018;48:186–94.

    PubMed  Google Scholar 

  10. Mizuno H, Yuasa N, Takeuchi E, Miyake H, Nagai H, Yoshioka Y, et al. Blood cell markers that can predict the long-term outcomes of patients with colorectal cancer. PLoS ONE. 2019;14:e0220579.

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Kust D, Lucijanic M, Urch K, Samija I, Celap I, Kruljac I, et al. Clinical and prognostic significance of anisocytosis measured as a red cell distribution width in patients with colorectal cancer. QJM. 2017;110:361–7.

    CAS  PubMed  Google Scholar 

  12. Matsuzawa T, Ishida H, Yoshida S, Isayama H, Kuwai T, Maetani I, et al. A Japanese Prospective Multicenter Study of self-expandable metal stent placement for malignant colorectal obstruction: short-term safety and efficacy within 7 days of stent procedure in 513 cases. Gastrointest Endosc. 2015;82:697–707.

    PubMed  Google Scholar 

  13. Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004;240:205–13.

    PubMed  PubMed Central  Google Scholar 

  14. Edge SB, Byrd DR, Compton CC, Fritz AG, Greene FL, Trotti A, et al. AJCC cancer staging manual. 7th ed. New York: Springer; 2010.

    Google Scholar 

  15. Nutritional anaemias. Report of a WHO scientific group. World Health Organ Tech Rep Ser. 1968;405:5–37.

  16. Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transpl. 2013;48:452–8.

    CAS  Google Scholar 

  17. Yoshida N, Kosumi K, Tokunaga R, Baba Y, Nagai Y, Miyamoto Y, et al. Clinical importance of mean corpuscular volume as a prognostic marker after esophagectomy for esophageal cancer: a retrospective study. Ann Surg. 2020;271:494–501.

    PubMed  Google Scholar 

  18. Zheng YZ, Dai SQ, Li W, Cao X, Li Y, Zhang LJ, et al. Prognostic value of preoperative mean corpuscular volume in esophageal squamous cell carcinoma. World J Gastroenterol. 2013;19:2811–7.

    PubMed  PubMed Central  Google Scholar 

  19. Jomrich G, Hollenstein M, John M, Ristl R, Paireder M, Kristo I, et al. High mean corpuscular volume predicts poor outcome for patients with gastroesophageal adenocarcinoma. Ann Surg Oncol. 2019;26:976–85.

    PubMed  PubMed Central  Google Scholar 

  20. National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology, Colon Cancer, Version 3. 2021. https://www.nccn.org/professionals/physician_gls/pdf/colon.pdf Accessed 15 Jan 2022

  21. Watanabe T, Itabashi M, Shimada Y, Tanaka S, Ito Y, Ajioka Y, et al. Japanese Society for Cancer of the Colon and Rectum (JSCCR) Guidelines 2014 for treatment of colorectal cancer. Int J Clin Oncol. 2015;20:207–39.

    PubMed  PubMed Central  Google Scholar 

  22. Sakamoto K, Ogawa K, Inoue H, Shine M, Matsui T, Nishi Y, et al. Significant association between the preoperative erythrocyte mean corpuscular volume and infectious complications after pancreaticoduodenectomy. Surg Today. 2021;51:258–67.

    CAS  PubMed  Google Scholar 

  23. Myojo M, Iwata H, Kohro T, Sato H, Kiyosue A, Ando J, et al. Prognostic implication of macrocytosis on adverse outcomes after coronary intervention. Atherosclerosis. 2012;221:148–53.

    CAS  PubMed  Google Scholar 

  24. Tennankore KK, Soroka SD, West KA, Kiberd BA. Macrocytosis may be associated with mortality in chronic hemodialysis patients: a prospective study. BMC Nephrol. 2011;12:19.

    CAS  PubMed  PubMed Central  Google Scholar 

  25. Yoon HJ, Kim K, Nam YS, Yun JM, Park M. Mean corpuscular volume levels and all-cause and liver cancer mortality. Clin Chem Lab Med. 2016;54:1247–57.

    CAS  PubMed  Google Scholar 

  26. Lam AP, Gundabolu K, Sridharan A, Jain R, Msaouel P, Chrysofakis G, et al. Multiplicative interaction between mean corpuscular volume and red cell distribution width in predicting mortality of elderly patients with and without anemia. Am J Hematol. 2013;88:E245–9.

    PubMed  PubMed Central  Google Scholar 

  27. Kaferle J, Strzoda CE. Evaluation of macrocytosis. Am Fam Physician. 2009;79:203–8.

    PubMed  Google Scholar 

  28. Aslinia F, Mazza JJ, Yale SH. Megaloblastic anemia and other causes of macrocytosis. Clin Med Res. 2006;4:236–41.

    PubMed  PubMed Central  Google Scholar 

  29. Savage DG, Ogundipe A, Allen RH, Stabler SP, Lindenbaum J. Etiology and diagnostic evaluation of macrocytosis. Am J Med Sci. 2000;319:343–52.

    CAS  PubMed  Google Scholar 

  30. Solak Y, Yilmaz MI, Saglam M, Demirbas S, Verim S, Unal HU, et al. Mean corpuscular volume is associated with endothelial dysfunction and predicts composite cardiovascular events in patients with chronic kidney disease. Nephrology (Carlton). 2013;18:728–35.

    CAS  PubMed  Google Scholar 

  31. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646–74.

    CAS  PubMed  Google Scholar 

  32. Reuter S, Gupta SC, Chaturvedi MM, Aggarwal BB. Oxidative stress, inflammation, and cancer: how are they linked? Free Radic Biol Med. 2010;49:1603–16.

    CAS  PubMed  PubMed Central  Google Scholar 

  33. Mohanty JG, Nagababu E, Rifkind JM. Red blood cell oxidative stress impairs oxygen delivery and induces red blood cell aging. Front Physiol. 2014;5:84.

    PubMed  PubMed Central  Google Scholar 

  34. Chen GP, Huang Y, Yang X, Feng JF. A nomogram to predict prognostic value of red cell distribution width in patients with esophageal cancer. Mediators Inflamm. 2015;2015:854670.

    PubMed  PubMed Central  Google Scholar 

  35. Wei TT, Wang LL, Yin JR, Liu YT, Qin BD, Li JY, et al. Relationship between red blood cell distribution width, bilirubin, and clinical characteristics of patients with gastric cancer. Int J Lab Hematol. 2017;39:497–501.

    PubMed  Google Scholar 

  36. Ichinose J, Murakawa T, Kawashima M, Nagayama K, Nitadori JI, Anraku M, et al. Prognostic significance of red cell distribution width in elderly patients undergoing resection for non-small cell lung cancer. J Thorac Dis. 2016;8:3658–66.

    PubMed  PubMed Central  Google Scholar 

  37. Życzkowski M, Rajwa P, Gabrys E, Jakubowska K, Jantos E, Paradysz A. The relationship between red cell distribution width and cancer-specific survival in patients with renal cell carcinoma treated with partial and radical nephrectomy. Clin Genitourin Cancer. 2018;16:e677–83.

    PubMed  Google Scholar 

  38. Duchnowski P, Szymański P, Orłowska-Baranowska E, Kuśmierczyk M, Hryniewiecki T. Raised red cell distribution width as a prognostic marker in aortic valve replacement surgery. Kardiol Pol. 2016;74:547–52.

    PubMed  Google Scholar 

  39. Ertaş G, Aydin C, Sönmez O, Erdoğan E, Turfan M, Tasal A, et al. Red cell distribution width predicts new-onset atrial fibrillation after coronary artery bypass grafting. Scand Cardiovasc J. 2013;47:132–5.

    PubMed  Google Scholar 

  40. Zehir S, Sipahioğlu S, Ozdemir G, Sahin E, Yar U, Akgül T. Red cell distribution width and mortality in patients with hip fracture treated with partial prosthesis. Acta Orthop Traumatol Turc. 2014;48:141–6.

    PubMed  Google Scholar 

  41. Bazick HS, Chang D, Mahadevappa K, Gibbons FK, Christopher KB. Red cell distribution width and all-cause mortality in critically ill patients. Crit Care Med. 2011;39:1913–21.

    PubMed  PubMed Central  Google Scholar 

  42. Lippi G, Targher G, Montagnana M, Salvagno GL, Zoppini G, Guidi GC. Relation between red blood cell distribution width and inflammatory biomarkers in a large cohort of unselected outpatients. Arch Pathol Lab Med. 2009;133:628–32.

    CAS  PubMed  Google Scholar 

  43. Förhécz Z, Gombos T, Borgulya G, Pozsonyi Z, Prohászka Z, Jánoskuti L. Red cell distribution width in heart failure: prediction of clinical events and relationship with markers of ineffective erythropoiesis, inflammation, renal function, and nutritional state. Am Heart J. 2009;158:659–66.

    PubMed  Google Scholar 

  44. Seth HS, Mishra P, Khandekar JV, Raut C, Mohapatra CKR, Ammannaya GKK, et al. Relationship between high red cell distribution width and systemic inflammatory response syndrome after extracorporeal circulation. Braz J Cardiovasc Surg. 2017;32:288–94.

    PubMed  PubMed Central  Google Scholar 

  45. Zurauskaite G, Meier M, Voegeli A, Koch D, Haubitz S, Kutz A, et al. Biological pathways underlying the association of red cell distribution width and adverse clinical outcome: results of a prospective cohort study. PLoS ONE. 2018;13:e0191280.

    PubMed  PubMed Central  Google Scholar 

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Correspondence to Ryuichiro Sato.

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The original article has been revised due to the revision in column spacings in Tables 5 and 6 and updated Reference 5.

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Sato, R., Oikawa, M., Kakita, T. et al. Prognostic significance of the mean corpuscular volume (MCV) and red cell distribution width (RDW) in obstructive colorectal cancer patients with a stent inserted as a bridge to curative surgery. Surg Today 52, 1699–1710 (2022). https://doi.org/10.1007/s00595-022-02504-9

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