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中华肝脏外科手术学电子杂志 ›› 2025, Vol. 14 ›› Issue (05) : 707 -715. doi: 10.3877/cma.j.issn.2095-3232.2025.05.008

临床研究

术前免疫炎症指标对肝癌肝切除术患者生存预后的预测价值
张燕, 许丁伟, 胡满琴, 黄昊扬, 宋光娜, 黄洁()   
  1. 650101 昆明医科大学第二附属医院肝胆胰外科
  • 收稿日期:2025-05-05 出版日期:2025-10-10
  • 通信作者: 黄洁
  • 基金资助:
    国家自然科学基金(82460518); 云南省科技厅基础研究专项基金资助项目(202101AT070239); 昆明医科大学研究生创新基金(2024S304)

Predictive value of preoperative inflammatory immune indexes for survival and prognosis of patients with hepatocellular carcinoma after hepatectomy

Yan Zhang, Dingwei Xu, Manqin Hu, Haoyang Huang, Guangna Song, Jie Huang()   

  1. Department of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China
  • Received:2025-05-05 Published:2025-10-10
  • Corresponding author: Jie Huang
引用本文:

张燕, 许丁伟, 胡满琴, 黄昊扬, 宋光娜, 黄洁. 术前免疫炎症指标对肝癌肝切除术患者生存预后的预测价值[J/OL]. 中华肝脏外科手术学电子杂志, 2025, 14(05): 707-715.

Yan Zhang, Dingwei Xu, Manqin Hu, Haoyang Huang, Guangna Song, Jie Huang. Predictive value of preoperative inflammatory immune indexes for survival and prognosis of patients with hepatocellular carcinoma after hepatectomy[J/OL]. Chinese Journal of Hepatic Surgery(Electronic Edition), 2025, 14(05): 707-715.

目的

探讨术前免疫炎症指标对肝细胞癌(肝癌)肝切除术患者生存预后的预测价值。

方法

回顾性分析2018年3月至2023年2月在昆明医科大学第二附属医院行肝切除术的232例肝癌患者临床资料。患者均签署知情同意书,符合医学伦理学规定。其中男190例,女42例;年龄33~77岁,中位年龄52岁。采用ROC曲线约登指数法确定中性粒细胞与淋巴细胞比值(NLR)、淋巴细胞与单核细胞比值(LMR)、系统免疫炎症指数(SII)、预后营养指数(PNI)和血红蛋白、白蛋白、淋巴细胞和血小板(HALP)评分的最佳截断值。生存分析采用Kaplan-Meier法和Log-rank检验。采用Cox单因素和多因素回归分析确定患者的生存预后独立影响因素,并构建预后指数(PI)预测模型,ROC曲线分析预测模型对患者2年生存情况的预测效能。

结果

随访期间死亡90例,存活142例;肝癌患者术后1、3、5年生存率分别为93.5%、79.3%、56.5%。NLR、LMR、SII、PNI和HALP评分的最佳截断值分别为2.38、3.53、429.89、347.44、32.64。高NLR组患者术后1、3年生存率分别为82.1%、38.3%,低NLR组相应为89.6%、68.1%;高LMR组的1、3年生存率分别为92.0%、69.0%,低LMR组相应为80.0%、41.2%;高SII组的1、3年生存率分别为84.6%、37.9%,低SII组相应为92.2%、67.9%;高PNI组的1、3年生存率分别为94.0%、75.4%,低PNI组相应为89.4%、44.2%;高HALP组1、3年生存率分别为93.1%、70.6%,低HALP组相应为60.5%、5.0%,以上组间差异均有统计学意义(χ2=16.103,23.882,19.502,23.059,109.681;P<0.001)。Cox单因素和多因素回归分析显示,微血管侵犯、活化部分凝血活酶时间、PNI、HALP评分是患者预后独立影响因素(HR=1.667,0.955,0.997,0.987;P<0.05)。基于独立预后因素构建PI模型,该预测模型的ROC曲线下面积为0.654。

结论

术前NLR、LMR、SII、PNI和HALP评分等免疫炎症指标对肝癌肝切除患者术后生存具有预测作用,基于免疫炎症指标构建的PI模型对生存预后有一定的预测价值。

Objective

To evaluate the predictive value of preoperative inflammatory immune indexes for survival and prognosis of patients with hepatocellular carcinoma (HCC) undergoing hepatectomy.

Methods

Clinical data of 232 HCC patients who underwent hepatectomy in the Second Affiliated Hospital of Kunming Medical University from March 2018 to February 2023 were retrospectively analyzed. The informed consents of all patients were obtained and the local ethical committee approval was received. Among them, 190 patients were male and 42 female, aged from 33 to 77 years, with a median age of 52 years. The optimal cut-off values of neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), systemic immune-inflammation index (SII), prognostic nutritional index (PNI) and hemoglobin, albumin, lymphocyte and platelet (HALP) scores were determined by using the ROC curve and Youden's index. Kaplan-Meier method and Log-rank test were used for survival analysis. Univariate and multivariate Cox's regression analyses were adopted to determine the independent risk factors of patients' survival and prognosis. A prediction model for prognostic index (PI) was constructed. The ROC curve was employed to analyze the prediction efficiency for 2-year overall survival of this prediction model.

Results

During postoperative follow-up, 90 patients died and 142 survived. The 1-, 3-, and 5-year survival rates of HCC patients were 93.5%, 79.3% and 56.5%, respectively. The optimal cutoff values of NLR, LMR, SII, PNI and HALP were 2.38, 3.53, 429.89, 347.44 and 32.64, respectively. The 1- and 3-year survival rates of HCC patients in the high NLR group were 82.1% and 38.3%, respectively, and 89.6% and 68.1% in the low NLR group, respectively. The 1- and 3-year survival rates in the high LMR group were 92.0% and 69.0%, and 80.0% and 41.2% in the low LMR group, respectively. The 1- and 3-year survival rates in the high SII group were 84.6% and 37.9%, and 92.2% and 67.9% in the low SII group, respectively. The 1- and 3-year survival rates in the high PNI group were 94.0% and 75.4%, and 89.4% and 44.2% in the low PNI group, respectively. The 1- and 3-year survival rates in the high HALP group were 93.1% and 70.6%, and 60.5% and 5.0% in the low HALP group, respectively. The differences in these indexes were statistically significant between two groups (χ2=16.103, 23.882, 19.502, 23.059, 109.681; all P<0.001). Univariate and multivariate Cox's regression analyses showed that microvascular invasion, activated partial thromboplastin time, PNI and HALP were the independent prognostic factors (HR=1.667, 0.955, 0.997, 0.987; all P<0.05). PI model was constructed based on the independent prognostic factors, and the area under the ROC curve of the prediction model was 0.654.

Conclusions

Preoperative inflammatory immune indexes, such as NLR, LMR, SII, PNI and HALP, can predict postoperative survival of HCC patients after hepatectomy. PI model based on inflammatory immune indexes has certain predictive value for survival and prognosis.

图1 肝癌患者各指标的ROC曲线 注:LMR为淋巴细胞与单核细胞比值,NLR为中性粒细胞与淋巴细胞比值,SII为系统炎症指数,PNI为预后营养指数,HALP评分为血红蛋白、白蛋白、淋巴细胞和血小板评分
图2 肝癌患者各免疫炎症指标分组Kaplan-Meier生存曲线 注:LMR为淋巴细胞与单核细胞比值,NLR为中性粒细胞与淋巴细胞比值,SII为系统炎症指数,PNI为预后营养指数,HALP评分为血红蛋白、白蛋白、淋巴细胞和血小板评分
表1 肝癌患者术后预后因素的Cox单因素分析
表2 肝癌患者术后预后因素的Cox多因素分析
[1]
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020[J]. CA Cancer J Clin, 2020, 70(1): 7-30. DOI: 10.3322/caac.21590.
[2]
Jemal A, Bray F, Center MM, et al. Global cancer statistics[J]. CA Cancer J Clin, 2011, 61(2): 69-90. DOI: 10.3322/caac.20107.
[3]
Villanueva A. Hepatocellular carcinoma[J]. N Engl J Med, 2019, 380(15): 1450-1462. DOI: 10.1056/nejmra1713263.
[4]
Llovet JM, Kelley RK, Villanueva A, et al. Hepatocellular carcinoma[J]. Nat Rev Dis Primers, 2021, 7(1): 6. DOI: 10.1038/s41572-020-00240-3.
[5]
Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2021, 71(3): 209-249. DOI: 10.3322/caac.21660.
[6]
Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2018, 68(6): 394-424. DOI: 10.3322/caac.21492.
[7]
Kloeckner R, Galle PR, Bruix J. Local and regional therapies for hepatocellular carcinoma[J]. Hepatology, 2021, 73(Suppl 1): 137-149. DOI: 10.1002/hep.31424.
[8]
Park JW, Chen M, Colombo M, et al. Global patterns of hepatocellular carcinoma management from diagnosis to death: the BRIDGE Study[J]. Liver Int, 2015, 35(9): 2155-2166. DOI: 10.1111/liv.12818.
[9]
Balkwill F, Mantovani A. Inflammation and cancer: back to Virchow?[J]. Lancet, 2001, 357(9255): 539-545. DOI: 10.1016/S0140-6736(00)04046-0.
[10]
Singh N, Baby D, Rajguru JP, et al. Inflammation and cancer[J]. Ann Afr Med, 2019, 18(3): 121-126. DOI: 10.4103/aam.aam_56_18.
[11]
Oh BS, Jang JW, Kwon JH, et al. Prognostic value of C-reactive protein and neutrophil-to-lymphocyte ratio in patients with hepatocellular carcinoma[J]. BMC Cancer, 2013, 13: 78. DOI: 10.1186/1471-2407-13-78.
[12]
Mantovani A, Allavena P, Sica A, et al. Cancer-related inflammation[J]. Nature, 2008, 454(7203): 436-444. DOI: 10.1038/nature07205.
[13]
Colotta F, Allavena P, Sica A, et al. Cancer-related inflammation, the seventh hallmark of cancer: links to genetic instability[J]. Carcinogenesis, 2009, 30(7): 1073-1081. DOI: 10.1093/carcin/bgp127.
[14]
Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation[J]. Cell, 2011, 144(5): 646-674. DOI: 10.1016/j.cell.2011.02.013.
[15]
Singh R, Mishra MK, Aggarwal H. Inflammation, immunity, and cancer[J]. Mediators Inflamm, 2017, 2017: 6027305. DOI: 10.1155/2017/6027305.
[16]
Uribe-Querol E, Rosales C. Neutrophils in cancer: two sides of the same coin[J]. J Immunol Res, 2015, 2015: 983698. DOI: 10.1155/2015/983698.
[17]
Shinji S, Ueda Y, Yamada T, et al. Combined use of preoperative lymphocyte counts and the post/preoperative lymphocyte count ratio as a prognostic marker of recurrence after curative resection of stage Ⅱ colon cancer[J]. Oncotarget, 2017, 9(2): 2553-2564. DOI: 10.18632/oncotarget.23510.
[18]
Wan S, Lai Y, Myers RE, et al. Preoperative platelet count associates with survival and distant metastasis in surgically resected colorectal cancer patients[J]. J Gastrointest Cancer, 2013, 44(3): 293-304. DOI: 10.1007/s12029-013-9491-9.
[19]
Shrotriya S, Walsh D, Bennani-Baiti N, et al. C-reactive protein is an important biomarker for prognosis tumor recurrence and treatment response in adult solid tumors: a systematic review[J]. PLoS One, 2015, 10(12): e0143080. DOI: 10.1371/journal.pone.0143080.
[20]
Gupta D, Lis CG. Pretreatment serum albumin as a predictor of cancer survival: a systematic review of the epidemiological literature[J]. Nutr J, 2010, 9: 69. DOI: 10.1186/1475-2891-9-69.
[21]
Toiyama Y, Shimura T, Yasuda H, et al. Clinical burden of C-reactive protein/albumin ratio before curative surgery for patients with gastric cancer[J]. Anticancer Res, 2016, 36(12): 6491-6498. DOI: 10.21873/anticanres.11248.
[22]
Zhang J, Zhang HY, Li J, et al. The elevated NLR, PLR and PLT may predict the prognosis of patients with colorectal cancer: a systematic review and meta-analysis[J]. Oncotarget, 2017, 8(40): 68837-68846. DOI: 10.18632/oncotarget.18575.
[23]
Okugawa Y, Toiyama Y, Yamamoto A, et al. Lymphocyte-C-reactive protein ratio as promising new marker for predicting surgical and oncological outcomes in colorectal cancer[J]. Ann Surg, 2020, 272(2): 342-351. DOI: 10.1097/SLA.0000000000003239.
[24]
Pang Q, Zhang LQ, Wang RT, et al. Platelet to lymphocyte ratio as a novel prognostic tool for gallbladder carcinoma[J]. World J Gastroenterol, 2015, 21(21): 6675-6683. DOI: 10.3748/wjg.v21.i21.6675.
[25]
Zhang L, Wang R, Chen W, et al. Prognostic significance of neutrophil to lymphocyte ratio in patients with gallbladder carcinoma[J]. HPB, 2016, 18(7): 600-607. DOI: 10.1016/j.hpb.2016.03.608.
[26]
Zhu S, Yang J, Cui X, et al. Preoperative platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio as predictors of clinical outcome in patients with gallbladder cancer[J]. Sci Rep, 2019, 9(1): 1823. DOI: 10.1038/s41598-018-38396-4.
[27]
Wu XS, Shi LB, Li ML, et al. Evaluation of two inflammation-based prognostic scores in patients with resectable gallbladder carcinoma[J]. Ann Surg Oncol, 2014, 21(2): 449-457. DOI: 10.1245/s10434-013-3292-z.
[28]
Chen H, Huang Z, Sun B, et al. The predictive value of systemic immune inflammation index for postoperative survival of gallbladder carcinoma patients[J]. J Surg Oncol, 2021, 124(1): 59-66. DOI: 10.1002/jso.26470.
[29]
Nagata S, Maeda S, Nagamatsu S, et al. Prognostic nutritional index considering resection range is useful for predicting postoperative morbidity of hepatectomy[J]. J Gastrointest Surg, 2021, 25(11): 2788-2795. DOI: 10.1007/s11605-020-04893-z.
[30]
Farag CM, Antar R, Akosman S, et al. Addendum: what is hemoglobin, albumin, lymphocyte, platelet (HALP) score? A comprehensive literature review of HALP's prognostic ability in different cancer types[J]. Oncotarget, 2023, 14: 748. DOI: 10.18632/oncotarget.28485.
[31]
中华医学会肝病学分会, 中华医学会感染病学分会. 慢性乙型肝炎防治指南(2022年版)[J]. 实用肝脏病杂志, 2023, 26(3): S18-S39. DOI: 10.3969/j.issn.1672-5069.2023.03.040.
[32]
Yin J, Li N, Han Y, et al. Effect of antiviral treatment with nucleotide/nucleoside analogs on postoperative prognosis of hepatitis B virus-related hepatocellular carcinoma: a two-stage longitudinal clinical study[J]. J Clin Oncol, 2013, 31(29): 3647-3655. DOI: 10.1200/JCO.2012.48.5896.
[33]
黄锐钦, 何坤, 钱均霖, 等. 肝癌患者肝切除术后的预后危险因素分析: 一项单中心研究[J]. 岭南现代临床外科, 2023, 23(3): 205-214.
[34]
Oura K, Morishita A, Tani J, et al. Tumor immune microenvironment and immunosuppressive therapy in hepatocellular carcinoma: a review[J]. Int J Mol Sci, 2021, 22(11): 5801. DOI: 10.3390/ijms22115801.
[35]
Maeda H, Akaike T. Nitric oxide and oxygen radicals in infection, inflammation, and cancer[J]. Biochemistry, 1998, 63(7): 854-865.
[36]
Pollard JW. Tumour-educated macrophages promote tumour progression and metastasis[J]. Nat Rev Cancer, 2004, 4(1): 71-78. DOI: 10.1038/nrc1256.
[37]
Ostroumov D, Fekete-Drimusz N, Saborowski M, et al. CD4 and CD8 T lymphocyte interplay in controlling tumor growth[J]. Cell Mol Life Sci, 2018, 75(4): 689-713. DOI: 10.1007/s00018-017-2686-7.
[38]
Pinedo HM, Verheul HM, D’Amato RJ, et al. Involvement of platelets in tumour angiogenesis?[J]. Lancet, 1998, 352(9142): 1775-1777. DOI: 10.1016/s0140-6736(98)05095-8.
[39]
Möhle R, Green D, Moore MA, et al. Constitutive production and thrombin-induced release of vascular endothelial growth factor by human megakaryocytes and platelets[J]. Proc Natl Acad Sci USA, 1997, 94(2): 663-668. DOI: 10.1073/pnas.94.2.663.
[40]
Folkman J. Tumor angiogenesis: therapeutic implications[J]. N Engl J Med, 1971, 285(21): 1182-1186. DOI: 10.1056/NEJM197111182852108.
[41]
Thomas MR, Storey RF. The role of platelets in inflammation[J]. Thromb Haemost, 2015, 114(3): 449-458. DOI: 10.1160/TH14-12-1067.
[42]
Palacios-Acedo AL, Mège D, Crescence L, et al. Platelets, thrombo-inflammation, and cancer: collaborating with the enemy[J]. Front Immunol, 2019, 10: 1805. DOI: 10.3389/fimmu.2019.01805.
[43]
Gay LJ, Felding-Habermann B. Contribution of platelets to tumour metastasis[J]. Nat Rev Cancer, 2011, 11(2): 123-134. DOI: 10.1038/nrc3004.
[44]
Madu AJ, Ughasoro MD. Anaemia of chronic disease: an in-depth review[J]. Med Princ Pract, 2017, 26(1): 1-9. DOI: 10.1159/000452104.
[45]
Nemeth E, Valore EV, Territo M, et al. Hepcidin, a putative mediator of anemia of inflammation, is a type Ⅱ acute-phase protein[J]. Blood, 2003, 101(7): 2461-2463. DOI: 10.1182/blood-2002-10-3235.
[46]
Vokurka M, Krijt J, Vávrová J, et al. Hepcidin expression in the liver of mice with implanted tumour reacts to iron deficiency, inflammation and erythropoietin administration[J]. Folia Biol, 2011, 57(6): 248-254.
[47]
Raj DSC. Role of interleukin-6 in the anemia of chronic disease[J]. Semin Arthritis Rheum, 2009, 38(5): 382-388. DOI: 10.1016/j.semarthrit.2008.01.006.
[48]
Eckart A, Struja T, Kutz A, et al. Relationship of nutritional status, inflammation, and serum albumin levels during acute illness: a prospective study[J]. Am J Med, 2020, 133(6): 713-722. e7. DOI: 10.1016/j.amjmed.2019.10.031.
[49]
Sheinenzon A, Shehadeh M, Michelis R, et al. Serum albumin levels and inflammation[J]. Int J Biol Macromol, 2021, 184: 857-862. DOI: 10.1016/j.ijbiomac.2021.06.140.
[50]
McMillan DC. The systemic inflammation-based Glasgow prognostic score: a decade of experience in patients with cancer[J]. Cancer Treat Rev, 2013, 39(5): 534-540. DOI: 10.1016/j.ctrv.2012.08.003.
[51]
Nakashima K, Hata K, Hotta T, et al. Ability of the Glasgow prognostic score to predict the tolerability and efficacy of platinum-combination chemotherapy among elderly patients with advanced non-small cell lung cancer[J]. J Med Invest, 2021, 68(3.4): 260-264. DOI: 10.2152/jmi.68.260.
[52]
Yamamoto T, Kawada K, Obama K. Inflammation-related biomarkers for the prediction of prognosis in colorectal cancer patients[J]. Int J Mol Sci, 2021, 22(15): 8002. DOI: 10.3390/ijms22158002.
[53]
Atsumi Y, Kawahara S, Kakuta S, et al. Low preoperative albumin-to-globulin ratio is a marker of poor prognosis in patients with esophageal cancer[J]. In Vivo, 2021, 35(6): 3555-3561. DOI: 10.21873/invivo.12658.
[54]
Komura N, Mabuchi S, Shimura K, et al. Significance of pretreatment C-reactive protein, albumin, and C-reactive protein to albumin ratio in predicting poor prognosis in epithelial ovarian cancer patients[J]. Nutr Cancer, 2021, 73(8): 1357-1364. DOI: 10.1080/01635581.2020.1798479.
[55]
Jiang Z, Li Y, Han G, et al. Association of serum albumin level with clinicopathologic features and prognosis in colon cancer[J]. Zhonghua Wei Chang Wai Ke Za Zhi, 2016, 19(1): 80-83.
[56]
Ren F, Zhao T, Liu B, et al. Neutrophil-lymphocyte ratio (NLR) predicted prognosis for advanced non-small-cell lung cancer (NSCLC) patients who received immune checkpoint blockade (ICB)[J]. Onco Targets Ther, 2019, 12: 4235-4244. DOI: 10.2147/OTT.S199176.
[57]
Lee J, Kim DM, Lee A. Prognostic role and clinical association of tumor-infiltrating lymphocyte, programmed death ligand-1 expression with neutrophil-lymphocyte ratio in locally advanced triple-negative breast cancer[J]. Cancer Res Treat, 2019, 51(2): 649-663. DOI: 10.4143/crt.2018.270.
[58]
Hirahara T, Arigami T, Yanagita S, et al. Combined neutrophil-lymphocyte ratio and platelet-lymphocyte ratio predicts chemotherapy response and prognosis in patients with advanced gastric cancer[J]. BMC Cancer, 2019, 19(1): 672. DOI: 10.1186/s12885-019-5903-y.
[59]
Cruz JC, Watchmaker JM, Albin MM, et al. Neutrophil/lymphocyte ratio predicts increased risk of immediate progressive disease following chemoembolization of hepatocellular carcinoma[J]. J Vasc Interv Radiol, 2019, 30(12): 1887-1892. DOI: 10.1016/j.jvir.2019.08.001.
[60]
Yang J, Gu Y, Huang X, et al. Prognostic impact of preoperative neutrophil-lymphocyte ratio for surgically resected gastrointestinal stromal tumors[J]. Medicine, 2019, 98(16): e15319. DOI: 10.1097/MD.0000000000015319.
[61]
Harimoto N, Hoshino K, Muranushi R, et al. Prognostic significance of neutrophil-lymphocyte ratio in resectable pancreatic neuroendocrine tumors with special reference to tumor-associated macrophages[J]. Pancreatology, 2019, 19(6): 897-902. DOI: 10.1016/j.pan.2019.08.003.
[62]
Chen Z, Zhao G, Chen F, et al. The prognostic significance of the neutrophil-to-lymphocyte ratio and the platelet-to-lymphocyte ratio in giant cell tumor of the extremities[J]. BMC Cancer, 2019, 19(1): 329. DOI: 10.1186/s12885-019-5511-x.
[63]
Chen JH, Zhai ET, Yuan YJ, et al. Systemic immune-inflammation index for predicting prognosis of colorectal cancer[J]. World J Gastroenterol, 2017, 23(34): 6261-6272. DOI: 10.3748/wjg.v23.i34.6261.
[64]
Yan X, Li G. Preoperative systemic immune-inflammation index predicts prognosis and guides clinical treatment in patients with non-small cell lung cancer[J]. Biosci Rep, 2020, 40(3): BSR20200352. DOI: 10.1042/BSR20200352.
[65]
Yang YL, Wu CH, Hsu PF, et al. Systemic immune-inflammation index (SII) predicted clinical outcome in patients with coronary artery disease[J]. Eur J Clin Invest, 2020, 50(5): e13230. DOI: 10.1111/eci.13230.
[66]
Hu B, Yang XR, Xu Y, et al. Systemic immune-inflammation index predicts prognosis of patients after curative resection for hepatocellular carcinoma[J]. Clin Cancer Res, 2014, 20(23): 6212-6222. DOI: 10.1158/1078-0432.CCR-14-0442.
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