非肌层浸润性膀胱癌术后复发的危险因素及新型预测标志物研究进展
Research Progress on Risk Factors and Novel Predictive Biomarkers for Postoperative Recurrence of Non-Muscle Invasive Bladder Cancer
摘要: 膀胱癌是泌尿系统最常见的恶性肿瘤之一,依据浸润深度分为非肌层浸润性和肌层浸润性两类。非肌层浸润性膀胱癌术后复发率较高,能否准确识别复发相关危险因素,直接关系到随访策略的制定和患者预后的改善。传统上,肿瘤数目、大小、分期、分级及原位癌等临床病理指标构成了复发评估的主要依据,然而单一指标预测价值有限,且现有风险模型存在高估复发风险和校准度不足等缺陷。在此背景下,外周血炎症与营养相关指标因检测无创、操作便捷和成本低廉而受到关注,有望成为传统分层方法的有效补充,但其阈值标准化问题仍有待解决。与此同时,尿液及组织等来源的分子标志物在提高预测准确性方面展现出一定前景,然而目前多数研究缺乏大样本前瞻性验证,检测标准化和临床可行性仍是制约其转化应用的重要问题。本文就非肌层浸润性膀胱癌术后复发的危险因素及新型预测标志物作一综述,为临床及研究者提供参考。
Abstract: Bladder cancer is one of the most common malignant tumors of the urinary system, categorized into non-muscle-invasive and muscle-invasive types according to infiltration depth. Non-muscle-invasive bladder cancer has a relatively high postoperative recurrence rate, and accurate identification of recurrence-related risk factors is directly associated with the formulation of follow-up strategies and the improvement of patient prognosis. Traditionally, clinicopathological parameters such as tumor number, size, stage, grade, and carcinoma in situ have constituted the main basis for recurrence assessment; however, the predictive value of any single parameter is limited, and existing risk models are flawed by overestimation of recurrence risk and inadequate calibration. In this context, peripheral blood inflammatory and nutritional indicators have drawn attention due to their non-invasiveness, convenience, and low cost, and are expected to serve as effective supplements to traditional stratification methods, although standardization of their cut-off values remains to be resolved. Meanwhile, molecular markers derived from urine and tissue have shown promising potential for improving predictive accuracy, yet most current studies lack large-scale prospective validation, and assay standardization and clinical feasibility remain major obstacles to their translational application. This article reviews the risk factors and novel predictive biomarkers for postoperative recurrence of non-muscle-invasive bladder cancer, providing a reference for clinicians and researchers.
文章引用:刘振华, 胡耀强, 靳永胜. 非肌层浸润性膀胱癌术后复发的危险因素及新型预测标志物研究进展[J]. 临床医学进展, 2026, 16(8): 1629-1637. https://doi.org/10.12677/acm.2026.1682943

参考文献

[1] Babjuk, M., Burger, M., Capoun, O., Cohen, D., Compérat, E.M., Dominguez Escrig, J.L., et al. (2022) European Association of Urology Guidelines on Non-Muscle-Invasive Bladder Cancer (Ta, T1, and Carcinoma in Situ). European Urology, 81, 75-94.
https://doi.org/10.1016/j.eururo.2021.08.010
[2] Tan, W.S. and Kelly, J.D. (2018) Intravesical Device-Assisted Therapies for Non-Muscle-Invasive Bladder Cancer. Nature Reviews Urology, 15, 667-685.
https://doi.org/10.1038/s41585-018-0092-z
[3] Lelo, A., Prip, F., Harris, B.T., Solomon, D., Berry, D.L., Chaldekas, K., et al. (2018) STAG2 Is a Biomarker for Prediction of Recurrence and Progression in Papillary Non-Muscle-Invasive Bladder Cancer. Clinical Cancer Research, 24, 4145-4153.
https://doi.org/10.1158/1078-0432.ccr-17-3244
[4] Tan, W.S., Kamat, A.M., Lewis, R., Porta, N., Ackerman, C., Vadiveloo, T., et al. (2026) Outcomes of Intermediate Risk Non-Muscle-Invasive Bladder Cancer Receiving Adjuvant Treatment: A Pooled Analysis of Four Randomized Controlled Trials. European Urology Oncology.
https://doi.org/10.1016/j.euo.2026.04.017
[5] Akand, M., Nakauma-González, J.A., Jatsenko, T., Gevaert, T., Baekelandt, L., Baldewijns, M., et al. (2026) Transcriptomic Profiling across Stages of Non-Muscle-Invasive Bladder Cancer Identifies Fibroblast Activation Protein-Alpha as a Stromal Biomarker Associated with Progression. Molecular Medicine.
https://doi.org/10.1186/s10020-026-01497-2
[6] Witjes, J.A., Morote, J., Cornel, E.B., Gakis, G., van Valenberg, F.J.P., Lozano, F., et al. (2018) Performance of the Bladder Epicheck™ Methylation Test for Patients under Surveillance for Non-Muscle-Invasive Bladder Cancer: Results of a Multicenter, Prospective, Blinded Clinical Trial. European Urology Oncology, 1, 307-313.
https://doi.org/10.1016/j.euo.2018.06.011
[7] Shi, Z., Han, X., Song, Z., Dong, Y., Pang, K., Wang, X., et al. (2023) Integrative Multi-Omics Analysis Depicts the Methylome and Hydroxymethylome in Recurrent Bladder Cancers and Identifies Biomarkers for Predicting PD-L1 Expression. Biomarker Research, 11, Article No. 47.
https://doi.org/10.1186/s40364-023-00488-3
[8] Ahmadi, N., Shafee, H. and Moudi, E. (2024) Prediction of Recurrence Risk in Patients with Non-Muscle-Invasive Bladder Cancer. Asian Journal of Urology, 11, 625-632.
https://doi.org/10.1016/j.ajur.2023.04.007
[9] Murta, C.B., Hayek, K.K.R.E., Dias, B.C., Yorioka, M.A.W., Cassao, V.D. and Claro, J.F.D.A. (2024) Increased Risk of Bladder Cancer Recurrence Due to Bacillus Calmette-Guérin Shortage in Brazil. Revista da Associação Médica Brasileira, 70, e20231116.
https://doi.org/10.1590/1806-9282.20231116
[10] Hirata, Y., Higuchi, M., Osawa, T., Hinotsu, S., Harabayashi, T., Mochizuki, T., et al. (2022) Late Recurrence in Patients with Non‐Muscle‐Invasive Bladder Cancer after 5‐Year Cancer‐Free Periods. International Journal of Urology, 29, 1140-1146.
https://doi.org/10.1111/iju.14936
[11] Teoh, J.Y., Kamat, A.M., Black, P.C., Grivas, P., Shariat, S.F. and Babjuk, M. (2022) Recurrence Mechanisms of Non-Muscle-Invasive Bladder Cancer—A Clinical Perspective. Nature Reviews Urology, 19, 280-294.
https://doi.org/10.1038/s41585-022-00578-1
[12] Cumberbatch, M.G.K., Foerster, B., Catto, J.W.F., Kamat, A.M., Kassouf, W., Jubber, I., et al. (2018) Repeat Transurethral Resection in Non-Muscle-Invasive Bladder Cancer: A Systematic Review. European Urology, 73, 925-933.
https://doi.org/10.1016/j.eururo.2018.02.014
[13] Yang, Y., Liu, C. and Yang, X. (2020) Endoscopic Molecular Imaging Plus Photoimmunotherapy: A New Strategy for Monitoring and Treatment of Bladder Cancer. Molecular Therapy—Oncolytics, 18, 409-418.
https://doi.org/10.1016/j.omto.2020.07.010
[14] Mariappan, P., Johnston, A., Trail, M., Hamid, S., Hollins, G., Dreyer, B.A., et al. (2024) Achieving Benchmarks for National Quality Indicators Reduces Recurrence and Progression in Non-Muscle-Invasive Bladder Cancer. European Urology Oncology, 7, 1327-1337.
https://doi.org/10.1016/j.euo.2024.01.012
[15] Messing, E.M., Tangen, C.M., Lerner, S.P., Sahasrabudhe, D.M., Koppie, T.M., Wood, D.P., et al. (2018) Effect of Intravesical Instillation of Gemcitabine vs Saline Immediately Following Resection of Suspected Low-Grade Non-Muscle-Invasive Bladder Cancer on Tumor Recurrence: SWOG S0337 Randomized Clinical Trial. JAMA, 319, 1880-1888.
https://doi.org/10.1001/jama.2018.4657
[16] Tempo, J., Bolton, D. and O’Callaghan, M. (2023) Seminal Papers in Urology: Maintenance Bacillus Calmette-Guerin (BCG) Immunotherapy for Recurrent Ta, T1 and Carcinoma in Situ Transitional Cell Carcinoma of the Bladder: A Randomized Southwest Oncology Group Study (SWOG-8507). BMC Urology, 23, Article No. 194.
https://doi.org/10.1186/s12894-023-01352-0
[17] Inoue, S., Ide, H., Mizushima, T., Jiang, G., Netto, G.J., Gotoh, M., et al. (2018) Nuclear Factor-κB Promotes Urothelial Tumorigenesis and Cancer Progression via Cooperation with Androgen Receptor Signaling. Molecular Cancer Therapeutics, 17, 1303-1314.
https://doi.org/10.1158/1535-7163.mct-17-0786
[18] Zhang, Y., Kong, W. and Jiang, J. (2017) Prevention and Treatment of Cancer Targeting Chronic Inflammation: Research Progress, Potential Agents, Clinical Studies and Mechanisms. Science China Life Sciences, 60, 601-616.
https://doi.org/10.1007/s11427-017-9047-4
[19] Morillon, Y.M., Su, Z., Schlom, J. and Greiner, J.W. (2019) Temporal Changes within the (Bladder) Tumor Microenvironment That Accompany the Therapeutic Effects of the Immunocytokine NHS-IL12. Journal for ImmunoTherapy of Cancer, 7, Article No. 150.
https://doi.org/10.1186/s40425-019-0620-2
[20] Alwarawrah, Y., Kiernan, K. and MacIver, N.J. (2018) Changes in Nutritional Status Impact Immune Cell Metabolism and Function. Frontiers in Immunology, 9, Article 1055.
https://doi.org/10.3389/fimmu.2018.01055
[21] Tobert, C.M., Hamilton-Reeves, J.M., Norian, L.A., Hung, C., Brooks, N.A., Holzbeierlein, J.M., et al. (2017) Emerging Impact of Malnutrition on Surgical Patients: Literature Review and Potential Implications for Cystectomy in Bladder Cancer. Journal of Urology, 198, 511-519.
https://doi.org/10.1016/j.juro.2017.01.087
[22] Hamilton-Reeves, J.M., Stanley, A., Bechtel, M.D., Yankee, T.M., Chalise, P., Hand, L.K., et al. (2018) Perioperative Immunonutrition Modulates Inflammatory Response after Radical Cystectomy: Results of a Pilot Randomized Controlled Clinical Trial. Journal of Urology, 200, 292-301.
https://doi.org/10.1016/j.juro.2018.03.001
[23] Huang, J., Lin, L., Mao, D., Hua, R. and Guan, F. (2024) Prognostic Value of Neutrophil-to-Lymphocyte Ratio in Patients with Non-Muscle-Invasive Bladder Cancer with Intravesical Bacillus Calmette-Guérin Immunotherapy: A Systematic Review and Meta-Analysis. Frontiers in Immunology, 15, Article 1464635.
https://doi.org/10.3389/fimmu.2024.1464635
[24] Cantiello, F., Russo, G.I., Vartolomei, M.D., Farhan, A.R.A., Terracciano, D., Musi, G., et al. (2018) Systemic Inflammatory Markers and Oncologic Outcomes in Patients with High-Risk Non-Muscle-Invasive Urothelial Bladder Cancer. European Urology Oncology, 1, 403-410.
https://doi.org/10.1016/j.euo.2018.06.006
[25] Hu, W., Liang, J., Luo, J., Fan, J., Hu, H., Wang, X., et al. (2025) Elevated Platelet-to-Lymphocyte Ratio Predicts Poor Clinical Outcomes in Non-Muscle Invasive Bladder Cancer: A Systematic Review and Meta-Analysis. Frontiers in Immunology, 16, Article 1578069.
https://doi.org/10.3389/fimmu.2025.1578069
[26] Katayama, S., Mori, K., Pradere, B., Laukhtina, E., Schuettfort, V.M., Quhal, F., et al. (2021) Prognostic Value of the Systemic Immune-Inflammation Index in Non-Muscle Invasive Bladder Cancer. World Journal of Urology, 39, 4355-4361.
https://doi.org/10.1007/s00345-021-03740-3
[27] Li, S., Li, G. and Zhang, X. (2026) The Prognostic Nutritional Index Serves as a Novel and Independent Predictor of Recurrence in Patients with Non-Muscle-Invasive Bladder Cancer. Nutrition and Cancer, 78, 487-496.
https://doi.org/10.1080/01635581.2026.2674944
[28] Bi, H., Shang, Z., Jia, C., Wu, J., Cui, B., Wang, Q., et al. (2020) Predictive Values of Preoperative Prognostic Nutritional Index and Systemic Immune-Inflammation Index for Long-Term Survival in High-Risk Non-Muscle-Invasive Bladder Cancer Patients: A Single-Centre Retrospective Study. Cancer Management and Research, 12, 9471-9483.
https://doi.org/10.2147/cmar.s259117
[29] Li, Q., Chen, M., Zhao, H. and Zeng, J. (2025) The Prognostic and Clinicopathological Value of HALP Score in Non-Small Cell Lung Cancer. Frontiers in Immunology, 16, Article 1576326.
https://doi.org/10.3389/fimmu.2025.1576326
[30] Utlu, A., Aksakallı, T., Çelik, F., Cinislioğlu, A.E., Altay, M.S., Bedir, F., et al. (2026) HALP Score as an Independent Prognostic Biomarker for Recurrence and Progression in Non-Muscle-Invasive Bladder Cancer: A Retrospective Cohort Study. Surgical Oncology, 65, Article ID: 102357.
https://doi.org/10.1016/j.suronc.2026.102357
[31] Wang, J., Jiang, P., Huang, Y., Tu, Y., Zhou, Q., Li, N., et al. (2023) Prognostic Value of the Cutoffs for HALP in Endometrial Cancer. American Journal of Clinical Oncology, 46, 107-113.
https://doi.org/10.1097/coc.0000000000000977
[32] Jiang, P., Kong, W., Gong, C., Chen, Y., Li, F., Xu, L., et al. (2022) Predicting the Recurrence of Operable Cervical Cancer Patients Based on Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Score and Classical Clinicopathological Parameters. Journal of Inflammation Research, 15, 5265-5281.
https://doi.org/10.2147/jir.s383742
[33] Xu, S.S., Li, S., Xu, H.X., Li, H., Wu, C., Wang, W., et al. (2020) Haemoglobin, Albumin, Lymphocyte and Platelet Predicts Postoperative Survival in Pancreatic Cancer. World Journal of Gastroenterology, 26, 828-838.
https://doi.org/10.3748/wjg.v26.i8.828
[34] Dyrskjøt, L., Hansel, D.E., Efstathiou, J.A., Knowles, M.A., Galsky, M.D., Teoh, J., et al. (2023) Bladder Cancer. Nature Reviews Disease Primers, 9, Article No. 58.
https://doi.org/10.1038/s41572-023-00468-9
[35] Shao, Y., Hu, X., Yang, Z., Lia, T., Yang, W., Wu, K., et al. (2021) Prognostic Factors of Non-Muscle Invasive Bladder Cancer: A Study Based on Next-Generation Sequencing. Cancer Cell International, 21, Article No. 23.
https://doi.org/10.1186/s12935-020-01731-9
[36] Liang, J., Guo, S., Wang, Y., Cao, Q., Guo, T., Zhou, D., et al. (2025) LINC00525 Drives Aggressive Phenotypes in Bladder Cancer via YAP Stabilization-Mediated Transcriptional Activation. Cancer Cell International, 25, Article No. 214.
https://doi.org/10.1186/s12935-025-03851-6
[37] Kotolloshi, R., Hölzer, M., Gajda, M., Grimm, M. and Steinbach, D. (2021) SLC35F2, a Transporter Sporadically Mutated in the Untranslated Region, Promotes Growth, Migration, and Invasion of Bladder Cancer Cells. Cells, 10, Article 80.
https://doi.org/10.3390/cells10010080
[38] Song, B.N., Kim, S.K. and Chu, I.S. (2017) Bioinformatic Identification of Prognostic Signature Defined by Copy Number Alteration and Expression of CCNE1 in Non-Muscle Invasive Bladder Cancer. Experimental & Molecular Medicine, 49, e282.
https://doi.org/10.1038/emm.2016.120
[39] Zheng, J., Lu, S., Huang, Y., Chen, X., Zhang, J., Yao, Y., et al. (2023) Preoperative Fluorescence in Situ Hybridization Analysis as a Predictor of Tumor Recurrence in Patients with Non-Muscle Invasive Bladder Cancer: A Bi-Institutional Study. Journal of Translational Medicine, 21, Article No. 685.
https://doi.org/10.1186/s12967-023-04528-2
[40] Mengual, L., Frantzi, M., Mokou, M., Ingelmo-Torres, M., Vlaming, M., Merseburger, A.S., et al. (2022) Multicentric Validation of Diagnostic Tests Based on BC-116 and BC-106 Urine Peptide Biomarkers for Bladder Cancer in Two Prospective Cohorts of Patients. British Journal of Cancer, 127, 2043-2051.
https://doi.org/10.1038/s41416-022-01992-3
[41] Lotan, Y., Luu, M., Liu, M., Tikhonekov, S., Kobayashi, T., Ahdoot, M., et al. (2026) Clinical Validation of a Multiplex Urine Biomarker Assay for Surveillance of Recurrent Bladder Cancer. Clinical Cancer Research.
https://doi.org/10.1158/1078-0432.ccr-26-1407
[42] Nakagawa, M., Karashima, T., Kamada, M., Yoshida, E., Yoshimura, T., Nojima, M., et al. (2017) Development of a Fully Automated Chemiluminescence Immunoassay for Urine Monomeric Laminin-γ2 as a Promising Diagnostic Tool of Non-Muscle Invasive Bladder Cancer. Biomarker Research, 5, Article No. 29.
https://doi.org/10.1186/s40364-017-0109-4
[43] Narayan, V.M., Tholomier, C., Mokkapati, S., Martini, A., Caruso, V.M., Goudarzi, M., et al. (2025) Minimal Residual Disease Detection with Urine-Derived DNA Is Prognostic for Recurrence-Free Survival in Bacillus Calmette-Guérin-Unresponsive Non-Muscle-Invasive Bladder Cancer Treated with Nadofaragene Firadenovec. European Urology Oncology, 8, 425-434.
https://doi.org/10.1016/j.euo.2024.09.016
[44] Galsky, M.D., Izadmehr, S., Yu, M., Curtis, S.D., Douville, C., Popoli, M., et al. (2026) Monitoring of Plasma and Urine Tumor-Derived DNA to Inform Bladder-Sparing Approaches for Patients with Muscle-Invasive Bladder Cancer. Proceedings of the National Academy of Sciences of the United States of America, 123, e2533449123.
https://doi.org/10.1073/pnas.2533449123
[45] Dyrskjøt, L., Reinert, T., Algaba, F., Christensen, E., Nieboer, D., Hermann, G.G., et al. (2017) Prognostic Impact of a 12-Gene Progression Score in Non-Muscle-Invasive Bladder Cancer: A Prospective Multicentre Validation Study. European Urology, 72, 461-469.
https://doi.org/10.1016/j.eururo.2017.05.040
[46] van Kessel, K.E.M., van der Keur, K.A., Dyrskjøt, L., Algaba, F., Welvaart, N.Y.C., Beukers, W., et al. (2018) Molecular Markers Increase Precision of the European Association of Urology Non-Muscle-Invasive Bladder Cancer Progression Risk Groups. Clinical Cancer Research, 24, 1586-1593.
https://doi.org/10.1158/1078-0432.ccr-17-2719
[47] Duquesne, I., Epelbaum, I., Prost, D., Haberstich, M., Suartz, C.V., Blons, H., et al. (2026) Blood and Urine Circulating Tumor DNA in Urothelial Bladder Cancer: State of the Art and Clinical Perspective. European Urology Oncology, 9, 690-704.
https://doi.org/10.1016/j.euo.2026.03.005
[48] Ravvaz, K., Weissert, J.A. and Downs, T.M. (2019) American Urological Association Nonmuscle Invasive Bladder Cancer Risk Model Validation—Should Patient Age Be Added to the Risk Model? Journal of Urology, 202, 682-688.
https://doi.org/10.1097/ju.0000000000000389
[49] Ravvaz, K., Walz, M.E., Weissert, J.A. and Downs, T.M. (2017) Predicting Nonmuscle Invasive Bladder Cancer Recurrence and Progression in a United States Population. Journal of Urology, 198, 824-831.
https://doi.org/10.1016/j.juro.2017.04.077
[50] Garg, T., McMullen, C.K., Leo, M.C., O’Keeffe‐Rosetti, M.C., Weinmann, S. and Nielsen, M.E. (2020) Predicting Risk of Multiple Levels of Recurrence and Progression after Initial Diagnosis of Nonmuscle‐Invasive Bladder Cancer in a Multisite, Community‐Based Cohort. Cancer, 127, 520-527.
https://doi.org/10.1002/cncr.33300
[51] Yu, N., Li, J., Cao, D., Chen, X., Yang, D., Jiang, N., et al. (2025) CT-Based Radiomics Signature of Visceral Adipose Tissue for Prediction of Early Recurrence in Patients with NMIBC: A Multicentre Cohort Study. International Journal of Surgery, 111, 9457-9470.
https://doi.org/10.1097/js9.0000000000003140
[52] Wang, H., Zhang, M., Miao, J., Hou, F., Chen, Y., Huang, Y., et al. (2023) Deep Learning Signature Based on Multiphase Enhanced CT for Bladder Cancer Recurrence Prediction: A Multi-Center Study. eClinicalMedicine, 66, Article ID: 102352.
https://doi.org/10.1016/j.eclinm.2023.102352
[53] Beukers, W., van der Keur, K.A., Kandimalla, R., Vergouwe, Y., Steyerberg, E.W., Boormans, J.L., et al. (2017) FGFR3, TERT and OTX1 as a Urinary Biomarker Combination for Surveillance of Patients with Bladder Cancer in a Large Prospective Multicenter Study. Journal of Urology, 197, 1410-1418.
https://doi.org/10.1016/j.juro.2016.12.096
[54] Zhang, Y.Y., Li, X.W., Li, X.D., Zhou, T., Chen, C., Liu, J., et al. (2022) Comprehensive Analysis of Anoikis-Related Long Non-Coding RNA Immune Infiltration in Patients with Bladder Cancer and Immunotherapy. Frontiers in Immunology, 13, Article 1055304.
https://doi.org/10.3389/fimmu.2022.1055304