红细胞分布宽度在肿瘤中的预后价值

摘要/Abstract

摘要：红细胞分布宽度（RDW）是既往用来诊断贫血的数字化指标，近年来的研究发现了其新的临床意义：除了急慢性肾脏疾病、慢性阻塞性肺病及心血管疾病外，RDW升高在实体瘤及血液肿瘤中也具有一定的预后意义，甚至可以作为某些肿瘤诊断的参考指标。尽管相关机制尚未明确，但作为廉价易获取的临床参数，RDW为肿瘤临床诊断及预后提供了新的方向。

叶鉴南, 孙超, 李建勇, 周新. 红细胞分布宽度在肿瘤中的预后价值[J]. 国际肿瘤学杂志, 2019, 46(8): 485-488.

Ye Jiannan, Sun Chao, Li Jianyong, Zhou Xin. Prognostic value of red blood cell distribution width in tumors[J]. Journal of International Oncology, 2019, 46(8): 485-488.

［1］ Arbel Y, Weitzman D, Raz R, et al. Red blood cell distribution width and the risk of cardiovascular morbidity and all-cause mortality. A population-based study［J］. Thromb Haemost, 2014, 111(2): 300-307. DOI: 10.1160/TH13-07-0567. ［2］ Solak Y, Yilmaz MI, Saglam M, et al. Red cell distribution width is independently related to endothelial dysfunction in patients with chronic kidney disease［J］. Am J Med Sci, 2014, 347(2): 118-124. DOI: 10.1097/MAJ.0b013e3182996a96. ［3］ Balta S, Aydogan M, Demirkol S, et al. Red cell distribution width: a novel and simple predictor of mortality in chronic obstructive pulmonary disease［J］. COPD, 2014, 11(4): 475-476. DOI: 10.3109/15412555.2013.813449. ［4］ Patel HH, Patel H, Higgins JM. Modulation of red blood cell population dynamics is a fundamental homeostatic response to disease［J］. Am J Hematol, 2015, 90(5): 422-428. DOI: 10.1002/ajh.23982. ［5］ Chrobk L, Zk P, Podzimek K, et al. Red cell distribution width (RDW) as a marker of disease activity in patients with hairy cell leukemia［J］. Acta Medica (Hradec Kralove), 1998, 41(1): 23-26. ［6］ Iriyama N, Hatta Y, Kobayashi S, et al. Higher red blood cell distribution width is an adverse prognostic factor in chronic-phase chronic myeloid leukemia patients treated with tyrosine kinase inhibitors［J］. Anticancer Res, 2015, 35(10): 5473-5478. ［7］ Jaiswal S, Fontanillas P, Flannick J, et al. Age-related clonal hematopoiesis associated with adverse outcomes［J］. N Engl J Med, 2014, 371(26): 2488-2498. DOI: 10.1056/NEJMoa1408617. ［8］ Podhorecka M, Halicka D, Szymczyk A, et al. Assessment of red blood cell distribution width as a prognostic marker in chronic lymphocytic leukemia［J］. Oncotarget, 2016, 7(22): 32846-32853. DOI: 10.18632/oncotarget.9055. ［9］ Bulycheva E, Rauner M, Medyouf H, et al. Myelodysplasia is in the niche: novel concepts and emerging therapies［J］. Leukemia, 2015, 29(2): 259-268. DOI: 10.1038/leu.2014.325. ［10］ Muto Y, Nishiyama M, Nita A, et al. Essential role of FBXL5-mediated cellular iron homeostasis in maintenance of hematopoietic stem cells［J］. Nat Commun, 2017, 8: 16114. DOI: 10.1038/ncomms16114. ［11］ Raess PW, van de Geijn GJ, Njo TL, et al. Automated screening for myelodysplastic syndromes through analysis of complete blood count and cell population data parameters［J］. Am J Hematol, 2014, 89(4): 369-374. DOI: 10.1002/ajh.23643. ［12］ Baba Y, Saito B, Shimada S, et al. Association of red cell distribution width with clinical outcomes in myelodysplastic syndrome［J］. Leuk Res, 2018, 67: 56-59. DOI: 10.1016/j.leukres.2018.02.004. ［13］ Periˇsa V, Zibar L, Sinˇci＇c-Petriˇcevi＇c J, et al. Red blood cell distribution width as a simple negative prognostic factor in patients with diffuse large B-cell lymphoma: a retrospective study［J］. Croat Med J, 2015, 56(4): 334-343. DOI: 10.3325/cmj.2015.56.334. ［14］ Zhou S, Fang F, Chen H, et al. Prognostic significance of the red blood cell distribution width in diffuse large B-cell lymphoma patients［J］. Oncotarget, 2017, 8(25): 40724-40731. DOI: 10.18632/oncotarget.16560. ［15］ Luo H, Quan X, Song XY, et al. Red blood cell distribution width as a predictor of survival in nasal-type, extranodal natural killer/T-cell lymphoma［J］. Oncotarget, 2017, 8(54): 92522-92535. DOI: 10.18632/oncotarget.21439. ［16］ Lee H, Kong SY, Sohn JY, et al. Elevated red blood cell distribution width as a simple prognostic factor in patients with symptomatic multiple myeloma.［J］. Biomed Res Int, 2014, 2014: 145619. DOI: 10.1155/2014/145619. ［17］ Meng S, Ma Z, Lu C, et al. Prognostic value of elevated red blood cell distribution width in Chinese patients with multiple myeloma［J］. Ann Clin Lab Sci, 2017, 47(3): 282-290. ［18］ Wang J, Xie X, Cheng F, et al. Evaluation of pretreatment red cell distribution width in patients with multiple myeloma［J］. Cancer Biomarker, 2017, 20(3): 267-272. DOI: 10.3233/CBM-170032. ［19］ Zhou D, Xu P, Peng M, et al. Pre-treatment red blood cell distribution width provides prognostic information in multiple myeloma［J］. Clin Chim Acta, 2018, 481: 34-41. DOI: 10.1016/j.cca.2018.02.009. ［20］ Zhang F, Chen Z, Wang P, et al. Combination of platelet count and mean platelet volume (COP-MPV) predicts postoperative prognosis in both resectable early and advanced stage esophageal squamous cell cancer patients［J］. Tumour Biol, 2016, 37(7): 9323-9331. DOI: 10.1007/s13277-015-4774-3. ［21］ Hirahara N, Matsubara T, Kawahara D, et al. Prognostic value of hematological parameters in patients undergoing esophagectomy for esophageal squamous cell carcinoma［J］. Int J Clin Oncol, 2016, 21(5): 909-919. DOI: 10.1007/s10147-016-0986-9. ［22］ Sun P, Zhang F, Cheng C, et al. The ratio of hemoglobin to red cell distribution width as a novel prognostic parameter in esophageal squamous cell carcinoma: a retrospective study from southern China［J］. Oncotarget, 2016, 7(27): 42650-42660. DOI: 10.18632/oncotarget.9516. ［23］ Xie D, Marks R, Zhang M, et al. Nomograms predict overall survival for patients with small-cell lung cancer incorporating pretreatment peripheral blood markers［J］. J Thorac Oncol, 2015, 10(8): 1213-1220. DOI: 10.1097/JTO.0000000000000585. ［24］ Warwick R, Mediratta N, Shackcloth M, et al. Preoperative red cell distribution width in patients undergoing pulmonary resections for non-small-cell lung cancer［J］. Eur J Cardiothorac Surg, 2014, 45(1): 108-113. DOI: 10.1093/ejcts/ezt275. ［25］ Wang FM, Xu G, Zhang Y, et al. Red cell distribution width is associated with presence, stage, and grade in patients with renal cell carcinoma.［J］. Dis Markers, 2014, 2014: 860419. DOI: 10.1155/2014/860419. ［26］ Huang DP, Ma RM, Xiang YQ. Utility of red cell distribution width as a prognostic factor in young breast cancer patients［J］. Medicine (Baltimore), 2016, 95(17): e3430. DOI: 10.1097/MD.0000000000003430. ［27］ Wang C, Civan J, Lai Y, et al. Racial disparity in breast cancer survival: the impact of pre-treatment hematologic variables［J］. Cancer Causes Control, 2015, 26(1): 45-56. DOI: 10.1007/s10552-014-0481-4. ［28］ Seretis C, Seretis F, Lagoudianakis E, et al. Is red cell distribution width a novel biomarker of breast cancer activity? Data from a pilot study［J］. J Clin Med Res, 2013, 5(2): 121-126. DOI: 10.4021/jocmr1214w. ［29］ Lippi G, Targher G, Montagnana M, et al. Relation between red blood cell distribution width and inflammatory biomarkers in a large cohort of unselected outpatients［J］. Arch Pathol Lab Med, 2009, 133(4): 628-632. DOI: 10.1043/1543-2165-133.4.628. ［30］ Wu W, Ma D, Wang P, et al. Potential crosstalk of the interleukin-6-heme oxygenase-1-dependent mechanism involved in resistance to lenalidomide in multiple myeloma cells［J］. FEBS J, 2016, 283(5): 834-849. DOI: 10.1111/febs.13633.

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红细胞分布宽度在肿瘤中的预后价值

Prognostic value of red blood cell distribution width in tumors

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