Challenges of the current precision medicine approach for pancreatic cancer: A single institution experience between 2013 and 2017

Recent research on genomic profiling of pancreatic ductal adenocarcinoma (PDAC) has identified many potentially actionable alterations. However, the feasibility of using genomic profiling to guide routine clinical decision making for PDAC patients remains unclear. We retrospectively reviewed PDAC patients between October 2013 and December 2017, who underwent treatment at the Johns Hopkins Hospital and had clinical tumor next-generation sequencing (NGS) through commercial resources. Ninety-two patients with 93 tumors tested were included. Forty-eight (52%) patients had potentially curative surgeries. The median time from the tissue available to the NGS testing ordered was 229 days (interquartile range 62-415). A total of three (3%) patients had matched targeted therapies based on genomic profiling results. Genomic profiling guided personalized treatment for PDAC patients is feasible, but the percentage of patients who receive targeted therapy is low. The main challenges are ordering NGS testing early in the clinical course of the disease and the limited evidence of using a targeted approach in these patients. A real-time department level genomic testing ordering system in combination with an evidence-based flagging system for potentially actionable alterations could help address these shortcomings.

Rare case of metastatic small cell carcinoma of the nasopharynx to the pancreas

We present a 49-year-old woman with a history of an unresectable nasopharyngeal small cell carcinoma (SCC) who was treated with concurrent chemotherapy and radiation therapy. On surveillance positron emission tomography scan 14 months after diagnosis, her primary tumour appeared stable, but there was fludeoxyglucose uptake in the pancreas. A CT scan demonstrated a 3.4×2.1 cm ill-defined soft tissue mass at the tail of the pancreas, which was concerning for adenocarcinoma. However, further workup including endoscopic ultrasound and fine needle aspiration confirmed the mass to be a metastasis from her nasopharyngeal SCC. Because there have been no previously reported cases of a metastatic small cell carcinoma to the pancreas, there are no data about prognosis. Thus treatment options were tailored to the patient. Distal pancreatectomy, splenectomy and cholecystectomy were performed. The patient recovered from surgery without complication.

The impact of high body mass index on patients undergoing robotic pancreatectomy: A propensity matched analysis

BACKGROUND

Patients with high body mass index are associated with a higher risk of complications after open pancreatectomy. We aimed to investigate the perioperative outcome for patients with high body mass index after robotic pancreatectomy.

METHODS

This is a retrospective, propensity-score matched cohort analysis. From our prospectively maintained database, we identified consecutive patients with body mass index >25 who underwent robotic pancreatectomy between January 2016 and December 2018. Propensity score matching with open pancreatectomy was applied in 1:2 fashion based on age, gender, American Society of Anesthesiologists classification, surgery type, histology, neoadjuvant therapy, and body mass index during the same study period.

RESULTS

A total of 127 patients were included. The mean age for all patients was 61.7 ± 12.8 years and 65 (51.2%) were male. Median body mass index was 29.9 (interquartile range, 27.0-31.8) for both groups. Propensity score matching provided equally distributed general demographic and clinicopathological factors. Robotic pancreatectomy was associated with decreased blood loss (100 mL vs 300 mL, P < .001) and shorter hospital stay (7 vs 9 days, P = .019).

CONCLUSION

Robotic pancreatectomy is associated with decreased blood loss and shorter length of hospital stay in overweight patients. Robotic approach may help alleviate morbidity in overweight patients undergoing pancreatectomy.