Pilot study of an artificial intelligence-based deep learning algorithm to predict time to castration-resistant prostate cancer for metastatic hormone-naïve prostate cancer.

The object in this study is to develop an artificial intelligence-based deep learning algorithm for prediction of time to castration-resistant prostate cancer by combined androgen blockade therapy in metastatic hormone-naïve prostate cancer. We included 180 metastatic hormone-naïve prostate cancer patients who initially received combined androgen blockade. We first evaluated whether time to castration-resistant prostate cancer was a significant prognostic factor. Then, using the patients' needle-biopsy specimen images, we developed and validated our deep learning algorithm. The results are shown below. First, we confirmed that time to castration-resistant prostate cancer correlated with overall survival (P < 0.001). Next, we selected two groups by time to castration-resistant prostate cancer of >24 months (n = 18) and <6 months (n = 6) and developed a deep learning algorithm by artificial intelligence-based machine deep learning. In 16 other metastatic hormone-naïve prostate cancer patients used as an external validation set, we confirmed the prediction accuracy remained significant (P < 0.05). In conclusion, our obtained deep learning algorithm has high predictive ability for the effectiveness of combined androgen blockade.

A case of long-term complete remission of locally advanced T4 bladder cancer treated with pembrolizumab.

A 69-year-old man with a history of non-muscle invasive bladder cancer 12 years ago presented complaining of gross hematuria. He was diagnosed as having invasive T4 bladder cancer with invasion to a branch of the internal iliac artery and received platinum-based chemo-radiation therapy. However, the tumor progressed to extensively infiltrate the pelvic wall, and left leg pain and swelling developed. Pembrolizumab was started, which entirely resolved the tumor after 14 courses of treatment. Pembrolizumab was discontinued after 20 courses of treatment because of adverse events. However, the patient has remained in complete response for over 2 years after pembrolizumab cessation.