Clinical Lymph Node Involvement as a Predictor for Cancer-Specific Survival in Patients with Penile Squamous Cell Cancer.
Makoto KawaseKimiaki TakagiKei KawadaTakashi IshidaMasayuki TomiokaTorai EnomotoShota FujimotoTomoki TaniguchiHiroki ItoKoji KameyamaToru YamadaKota KawaseDaiki KatoManabu TakaiKoji IinumaKeita NakaneTakuya KoiePublished in: Current oncology (Toronto, Ont.) (2022)
We aimed to identify prognostic predictive factors of patients with penile squamous cell carcinoma (PSCC). This retrospective study reviewed the clinical and pathological data of patients with PSCC at 10 institutions in Japan between January 2008 and December 2019. The primary endpoint was cancer-specific survival (CSS). We also identified useful predictive factors for CSS in patients with PSCC. In total, 64 patients with PSCC were enrolled. At the end of the follow-up period, 15 patients (23.4%) died owing to PSCC and six (9.4%) died owing to other causes. The 2- and 3-year CSS rates were 78.9% and 76.6%, respectively. Using the Kaplan-Meier method, the Eastern Cooperative Oncology Group performance status 0, serum albumin levels ≥4.2 g/dL, hemoglobin levels ≥13.2 g/dL, C-reactive protein levels <0.21 mg/dL, clinical T stage ≤2, clinically negative lymph node (LN) status, and tumor size <30 mm were associated with a significantly better CSS. In the multivariate analysis, the clinically positive LN status was a significant predictive factor for CSS in patients with PSCC. Further prospective large-scale and long-term studies are required to validate our findings.
Keyphrases
- squamous cell
- lymph node
- papillary thyroid
- squamous cell carcinoma
- end stage renal disease
- lymph node metastasis
- ejection fraction
- chronic kidney disease
- neoadjuvant chemotherapy
- palliative care
- machine learning
- peritoneal dialysis
- south africa
- childhood cancer
- sentinel lymph node
- electronic health record
- radical prostatectomy
- data analysis
- deep learning