Novel Therapeutic Opportunities in Neoadjuvant Setting in Urothelial Cancers: A New Horizon Opened by Molecular Classification and Immune Checkpoint Inhibitors.
Maria Lucia IacovinoChiara Carmen MiceliMarco De FeliceBiagio BaroneLuca PompellaFrancesco ChianconeErika Di ZazzoGiuseppe TirinoCarminia Maria Della CorteCiro ImbimboFerdinando De VitaFelice CrocettoPublished in: International journal of molecular sciences (2022)
Muscle invasive bladder cancer (MIBC) is a widespread malignancy with a worse prognosis often related to a late diagnosis. For early-stage MIBC pts, a multidisciplinary approach is mandatory to evaluate the timing of neoadjuvant chemotherapy (NAC) and surgery. The current standard therapy is platinum-based NAC (MVAC-methotrexate, vinblastine, doxorubicin, and cisplatin or Platinum-Gemcitabine regimens) followed by radical cystectomy (RC) with lymphadenectomy. However, preliminary data from Vesper trial highlighted that dose-dense NAC MVAC is endowed with a good pathological response but shows low tolerability. In the last few years, translational-based research approaches have identified several candidate biomarkers of NAC esponsiveness, such as ERCC2, ERBB2, or DNA damage response (DDR) gene alterations. Moreover, the recent consensus MIBC molecular classification identified six molecular subtypes, characterized by different sensitivity to chemo- or targeted or immunotherapy, that could open a novel procedure for patient selection and also for neoadjuvant therapies. The Italian PURE-01 phase II Trial extended data on efficacy and resistance to Immune Checkpoint Inhibitors (ICIs) in this setting. In this review, we summarize the most relevant literature data supporting NAC use in MIBC, focusing on novel therapeutic strategies such as immunotherapy, considering the better patient stratification and selection emerging from novel molecular classification.
Keyphrases
- locally advanced
- transcription factor
- neoadjuvant chemotherapy
- early stage
- lymph node
- rectal cancer
- minimally invasive
- machine learning
- dna damage response
- deep learning
- sentinel lymph node
- electronic health record
- genome wide analysis
- squamous cell carcinoma
- cancer therapy
- case report
- systematic review
- big data
- single molecule
- muscle invasive bladder cancer
- dna repair
- radiation therapy
- clinical trial
- drug delivery
- high grade
- randomized controlled trial
- open label
- artificial intelligence
- mesenchymal stem cells
- dna methylation
- gene expression
- tyrosine kinase
- genome wide
- young adults
- high dose
- coronary artery disease
- dna damage
- combination therapy
- genome wide identification
- study protocol
- percutaneous coronary intervention