A Case with Multiple Pathologies in the Pancreatic Head.

Objectives: Autoimmune pancreatitis (AIP) type 1, paraduodenal (groove) pancreatitis, and follicular pancreatitis are rare clinical entities whose diagnosis may be challenging, given the potential imaging overlap with pancreatic cancer. Methods: We performed a retrospective analysis of the medical chart of a patient with multiple pancreas pathologies. Results: We present a case with multiple pancreas pathologies, including a poorly differentiated ductal adenocarcinoma of pancreatobiliary type, an intraductal papillary mucinous lesion (pre-existing lesion of IPMN type), and an inflammatory process with complex features, in which paraduodenal (groove) pancreatitis, follicular pancreatitis, and IgG4-related pancreatitis (AIP type 1) were also present. Conclusions: The diagnosis of AIP and paraduodenal pancreatitis is not always straightforward, and in some cases, it is not easy to differentiate them from pancreatic cancer. Surgery should be considered in patients when a suspicion of malignant/premalignant lesions cannot be excluded after a complete diagnostic work-up.

Gallbladder cancer mimicking perihilar cholangiocarcinoma-considerable rate of postoperative reclassification with implications for prognosis.

BACKGROUND: For some patients undergoing resection under the suspicion of a perihilar cholangiocarcinoma (pCCA), postoperative diagnosis may differ from the preoperative diagnosis. While a postoperative finding of benign bile duct stricture is known to affect 3-15% of patients, less has been described about the consequences of finding other biliary tract cancers postoperatively. This study compared pre- and postoperative diagnoses, risk characteristics, and outcomes after surgery for suspected pCCA. METHODS: Retrospective single-center study, Karolinska University Hospital, Stockholm, Sweden (January 2009-May 2017). The primary postoperative outcome was overall survival. Secondary outcomes were disease-free survival and postoperative complications. Survival analysis was performed by the Kaplan-Meier method. RESULTS: Seventy-one patients underwent resection for suspected pCCA. pCCA was confirmed in 48 patients (68%). Ten patients had benign lesions (14%), 2 (3%) were diagnosed with other types of cholangiocarcinoma (CCA, distal n = 1, intrahepatic n = 1), while 11 (15%) were diagnosed with gallbladder cancer (GBC). GBC patients were older than patients with pCCA (median age 71 versus 58 years, p = 0.015), with a large proportion of patients with a high tumor extension stage (≥ T3, 91%). Median overall survival was 20 months (95% CI 15-25 months) for patients with pCCA and 17 months (95% CI 11-23 months) for patients with GBC (p = 0.135). Patients with GBC had significantly shorter median disease-free survival (DFS), 10 months (95% CI 3-17 months) compared 17 months (95% CI 15-19 months) for patients with pCCA (p = 0.010). CONCLUSIONS: At a large tertiary referral center, 15% of patients resected for suspected pCCA were postoperatively diagnosed with GBC. Compared to patients with pCCA, GBC patients were older, with advanced tumors and shorter DFS. The considerable rate of re-classification stresses the need for improved preoperative staging, as these prognostic differences could have implications for treatment strategies.

Impact of Laparoscopic Gastrectomy on the Completion Rate of the Perioperative Chemotherapy Regimen in Gastric Cancer: A Swedish Nationwide Study.

BACKGROUND: Omission of prescheduled chemotherapy following surgery for gastric cancer is a frequent clinical problem. This study examined whether laparoscopic gastrectomy (LG) had a positive impact on compliance with adjuvant chemotherapy compared with open (OG). METHODS: Patients with cT2-4aN0-3M0 adenocarcinoma treated with gastrectomy and perioperative chemotherapy between 2015 and 2020 were identified in the Swedish national register. Additional information regarding chemotherapy was retrieved from medical records. Regression models were used to investigate the association between surgical approach and the following outcomes: initiation of adjuvant chemotherapy, modification, and time interval from surgery to start of treatment. RESULTS: A total of 247 patients were included (121 OG and 126 LG, conversion rate 11%), of which 71.3% had performance status ECOG 0 and 77.7% clinical stage II/III. In total, 86.2% of patients started adjuvant chemotherapy, with no significant difference between the groups (LG 88.1% vs OG 84.3%, p = 0.5). Reduction of chemotherapy occurred in 37.4% of patients and was similar between groups (LG 39.4% vs OG 35.1%, p = 0.6), as was the time interval from surgery. In multivariable analysis, LG was not associated with the probability of starting adjuvant chemotherapy (OR 1.36, p = 0.4) or the need for reduction (OR 1.29, p = 0.4). Conversely, major complications had a significant, negative impact on both outcomes. CONCLUSIONS: This nationwide study demonstrated a high rate of adjuvant chemotherapy initiation after curative intended surgery for gastric cancer. A beneficial effect of LG compared with OG on the completion rate was not evident.

Survival Benefits of Chemotherapy for Patients with Advanced Pancreatic Cancer in A Clinical Real-World Cohort.

Clinical outcomes of chemotherapy for patients with advanced pancreatic adenocarcinoma in a real-world setting might differ from outcomes in randomized clinical trials (RCTs). Here we show in a single-institution cohort of 595 patients that median overall survival (OS) of patients who received gemcitabine alone (n = 185; 6.6 months (95% CI; 5.5-7.7)) was the same as in pivotal RCTs. Gemcitabine/capecitabine (n = 60; 10.6 months (95% CI; 7.8-13.3)) and gemcitabine/nab-paclitaxel (n = 66; 9.8 months (95% CI; 7.9-11.8)) resulted in a longer median OS and fluorouracil/oxaliplatin/irinotecan (n = 31, 9.9 months (95% CI; 8.1-11.7)) resulted in a shorter median OS than previously reported. Fluorouracil/oxaliplatin (n = 35, 5.8 months (95% CI; 4.5-7)) and best supportive care (n = 206, 1.8 months (95% CI; 1.5-2.1)) could not be benchmarked against any RCTs. The degree of protocol adherence explained differences between real-world outcomes and the respective RCTs, while exposure to second-line treatments did not.

Bioinformatory-assisted analysis of next-generation sequencing data for precision medicine in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is a tumor with an extremely poor prognosis, predominantly as a result of chemotherapy resistance and numerous somatic mutations. Consequently, PDAC is a prime candidate for the use of sequencing to identify causative mutations, facilitating subsequent administration of targeted therapy. In a feasibility study, we retrospectively assessed the therapeutic recommendations of a novel, evidence-based software that analyzes next-generation sequencing (NGS) data using a large panel of pharmacogenomic biomarkers for efficacy and toxicity. Tissue from 14 patients with PDAC was sequenced using NGS with a 620 gene panel. FASTQ files were fed into treatmentmap. The results were compared with chemotherapy in the patients, including all side effects. No changes in therapy were made. Known driver mutations for PDAC were confirmed (e.g. KRAS, TP53). Software analysis revealed positive biomarkers for predicted effective and ineffective treatments in all patients. At least one biomarker associated with increased toxicity could be detected in all patients. Patients had been receiving one of the currently approved chemotherapy agents. In two patients, toxicity could have been correctly predicted by the software analysis. The results suggest that NGS, in combination with an evidence-based software, could be conducted within a 2-week period, thus being feasible for clinical routine. Therapy recommendations were principally off-label use. Based on the predominant KRAS mutations, other drugs were predicted to be ineffective. The pharmacogenomic biomarkers indicative of increased toxicity could be retrospectively linked to reported negative side effects in the respective patients. Finally, the occurrence of somatic and germline mutations in cancer syndrome-associated genes is noteworthy, despite a high frequency of these particular variants in the background population. These results suggest software-analysis of NGS data provides evidence-based information on effective, ineffective and toxic drugs, potentially forming the basis for precision cancer medicine in PDAC.