Salvage Chemotherapy with Cisplatin, Ifosfamide, and Paclitaxel in Aggressive Variant of Metastatic Castration-Resistant Prostate Cancer.
Gunhild von AmsbergMirjam ZillesWael Yassin MansourPhilipp GildWinfried AlsdorfMoritz KauneLukas Clemens BöckelmannJessica HauschildChristoph KrispTina RohlfingCeren SaygiMalik AlawiAlexandra ZielinskiClaudia LangebrakeSu Jung Oh-HohenhorstSven PernerDerya TilkiHartmut SchlüterMarkus GraefenSergey A DyshlovoyCarsten BokemeyerPublished in: International journal of molecular sciences (2022)
Significant progress has been achieved in the treatment of metastatic castration-resistant prostate cancer (mCRPC). However, results in patients with aggressive variant prostate cancer (AVPC) have been disappointing. Here, we report retrospectively collected data from intensively pretreated AVPC patients (n = 17; 88.2% visceral metastases; 82% elevation of neuroendocrine markers) treated with salvage chemotherapy consisting of cisplatin, ifosfamide, and paclitaxel (TIP). At the interim analysis, 60% of patients showed radiographic response or stable disease (PFS = 2.5 months; OS = 6 months). In men who responded to chemotherapy, an OS > 15 months was observed. Preclinical analyses confirmed the high activity of the TIP regimen, especially in docetaxel-resistant prostate cancer cells. This effect was primarily mediated by increased cisplatin sensitivity in the emergence of taxane resistance. Proteomic and functional analyses identified a lower DNA repair capacity and cell cycle machinery deficiency to be causative. In contrast, paclitaxel showed inconsistent effects, partially antagonizing cisplatin and ifosfamide in some AVPC models. Consequently, paclitaxel has been excluded from the TIP combination for future patients. In summary, we report for the first time the promising efficacy of TIP as salvage therapy in AVPC. Our preclinical data indicate a pivotal role for cisplatin in overcoming docetaxel resistance.
Keyphrases
- prostate cancer
- cell cycle
- end stage renal disease
- dna repair
- newly diagnosed
- ejection fraction
- squamous cell carcinoma
- chronic kidney disease
- peritoneal dialysis
- small cell lung cancer
- cell proliferation
- dna damage
- prognostic factors
- chemotherapy induced
- magnetic resonance
- stem cells
- computed tomography
- type diabetes
- cell therapy
- machine learning
- adipose tissue
- replacement therapy
- patient reported outcomes
- big data
- radiation therapy
- insulin resistance
- current status
- deep learning
- middle aged