Management of patients with muscle-invasive bladder cancer with clinical evidence of pelvic lymph node metastases.
Elisabeth Grobet-JeandinLouis LenfantUgo PinarJérôme ParraPierre MozerRaphaele Renard-PennaConstance ThibaultMorgan RouprêtThomas SeisenPublished in: Nature reviews. Urology (2024)
Identification of clinically positive pelvic lymph node metastases (cN+) in patients with muscle-invasive bladder cancer is currently challenging, as the diagnostic accuracy of available imaging modalities is limited. Conventional CT is still considered the gold-standard approach to diagnose lymph node metastases in these patients. The development of innovative diagnostic methods including radiomics, artificial intelligence-based models and molecular biomarkers might offer new perspectives for the diagnosis of cN+ disease. With regard to the treatment of these patients, multimodal strategies are likely to provide the best oncological outcomes, especially using induction chemotherapy followed by radical cystectomy and pelvic lymph node dissection in responders to chemotherapy. Additionally, the use of adjuvant nivolumab has been shown to decrease the risk of recurrence in patients who still harbour ypT2-T4a and/or ypN+ disease after surgery. Alternatively, the use of avelumab maintenance therapy can be offered to patients with unresectable cN+ tumours who have at least stable disease after induction chemotherapy alone. Lastly, patients with cN+ tumours who are not responding to induction chemotherapy are potential candidates for receiving second-line treatment with pembrolizumab.
Keyphrases
- lymph node
- locally advanced
- rectal cancer
- muscle invasive bladder cancer
- end stage renal disease
- artificial intelligence
- lymph node metastasis
- neoadjuvant chemotherapy
- chronic kidney disease
- newly diagnosed
- ejection fraction
- machine learning
- sentinel lymph node
- prognostic factors
- squamous cell carcinoma
- stem cells
- computed tomography
- radiation therapy
- metabolic syndrome
- magnetic resonance imaging
- high resolution
- pain management
- type diabetes
- radical prostatectomy
- risk assessment
- tyrosine kinase
- insulin resistance
- image quality
- bone marrow
- advanced non small cell lung cancer
- robot assisted
- glycemic control
- replacement therapy