Nivolumab for Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma: A Retrospective Tertiary Centre's Real-World Experience.
Yue Jennifer DuRui FuJustin T LevinskyPabiththa KamalrajKelvin K W ChanAmbica ParmarAntoine EskanderMartin SmoragiewiczPublished in: Current oncology (Toronto, Ont.) (2023)
Nivolumab, a PD-1 checkpoint inhibitor, was approved in Canada in 2017 for the treatment of recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) based on the phase 3 trial CHECKMATE-141. We aimed to examine the demographics and efficacy of nivolumab in a Canadian, real-world setting. A retrospective chart review was performed on patients who received nivolumab for R/M HNSCC from 2017 to 2020 at a high-volume cancer centre. Data were abstracted from 34 patients, based on physician notes and imaging reports. The median patient age at nivolumab initiation was 61, 24% were female, and 62% were current or former smokers. Prior to nivolumab, 44% of patients underwent surgery, 97% radiation, and 100% chemotherapy. Most (97%) therapies were for primary disease. Overall survival at 6 and 12 months following drug initiation was 38% and 23%, respectively. Progression-free survival at 6 and 12 months was 33% and 22%, respectively. Eighteen percent of patients experienced an immune-related adverse event, the most common of which was pneumonitis (3/8) and endocrine events (3/8). Seven out of eight of the immune adverse events were grade 1-2; 1/8 was grade 3. Nivolumab appears to have decreased survival rates in our single-centre Canadian population compared to CHECKMATE-141 and presented a manageable adverse event profile for R/M HNSCC.
Keyphrases
- end stage renal disease
- newly diagnosed
- ejection fraction
- free survival
- small cell lung cancer
- squamous cell carcinoma
- chronic kidney disease
- peritoneal dialysis
- primary care
- high resolution
- radiation therapy
- rheumatoid arthritis
- coronary artery disease
- atrial fibrillation
- dna damage
- oxidative stress
- cell cycle
- young adults
- deep learning
- squamous cell
- interstitial lung disease