Ampulla of Vater carcinoma: advancement in the relationships between histological subtypes, molecular features, and clinical outcomes

Intra-ampullary and Periampullary Carcinoma: Clinicopathological Comparison and Survival Outcomes

Introduction The ampulla of Vater is a structure in the duodenal wall in which the biliary and pancreatic ducts open. Malignant epithelial tumors arising at this site are commonly referred to as ampullary adenocarcinomas. In this study, we compared the clinicopathological features of intra-ampullary and periampullary carcinomas, including survival outcomes. Methods This retrospective cross-sectional study was conducted at the Department of Pathology, Liaquat National Hospital. All radiologically suspected cases or biopsy-proven (endoscopic biopsy) cases of intra-ampullary/periampullary carcinoma were included in the study. All patients underwent surgical resection (Whipple's procedure/pancreatoduodenectomy). The classification of intra-ampullary and periampullary carcinomas was performed according to the College of American Pathologists (CAP) guidelines. Results Among the 188 case studies, most (61.7%, n = 116) were males, with a median age of 55 years. Most tumors were of the pancreatobiliary subtype (57.4%, n = 108). Similarly, intra-ampullary carcinoma was more common than periampullary carcinoma (61.7% vs. 38.3%). Intra-ampullary carcinoma showed a higher extent of involvement of adjacent structures, a higher frequency of perineural invasion, and a higher nodal stage than periampullary carcinoma. Similarly, the median disease-specific survival of intra-ampullary carcinoma was significantly lower (46 months) than that of periampullary carcinoma (53.5 months). Conclusion We found a higher incidence of intra-ampullary carcinoma in our study. In addition, intra-ampullary carcinoma had a worse survival rate and was associated with poorer pathological parameters, such as perineural invasion and higher nodal and tumor stages than periampullary carcinoma.

Real-world efficacy and safety of capecitabine with oxaliplatin in patients with advanced adenocarcinoma of the ampulla of Vater

BACKGROUND

Adenocarcinoma of the ampulla of Vater (AoV) is one of the rare periampullary cancers, and due to its anatomical location, it is categorized into various histologic subtypes. Its rarity and diversity pose challenges in treatment decision-making for patients with advanced AoV carcinoma. This study investigated the efficacy and safety of the combined regimen of capecitabine and oxaliplatin (CAPOX) in a real-world clinical setting.

METHODS

This investigation encompassed patients with advanced AoV carcinoma who underwent CAPOX treatment. Histologic phenotypes were identified through a combination of histopathological analysis and protein expression markers, including MUC1, CDX2, CK20, and MUC2. The correlation between histopathological determinants and survival outcomes was explored, in addition to an evaluation of the safety profile of CAPOX therapy.

RESULTS

From January 2010 to June 2023, 42 patients received CAPOX. Of these, 14 patients (33.3%) had not received any prior palliative chemotherapy, while 28 patients (66.7%) had undergone one prior line of chemotherapy. At a median follow up of 9.0 months, the median progression-free survival (PFS) was 4.38 months (95% CI, 2.78-5.69) and the median overall survival (OS) was 9.57 months (95% CI 7.56-11.6). The objective response and disease control rates were 38.1% and 61.9%, respectively. Patients who received CAPOX as a second-line treatment had poorer PFS (HR = 2.62; 95% CI, 1.49-4.90, p = 0.003) and OS (HR = 2.82, 95% CI, 1.47-5.38, p = 0.001) compared to those who received CAPOX as a first-line chemotherapy. There were no statistically significant differences in PFS (p = 0.185) and OS (p = 0.097) between groups based on histologic subtypes. Neutropenia (14.3%) emerged as the predominant grade 3-4 toxicity. Notably, treatment cessation occurred in select instances owing to grade 3 fatigue (9.5%) and peripheral neuropathy (9.5%).

CONCLUSIONS

This study confirmed the therapeutic efficacy and safety of CAPOX in a real-world setting, consistent with prior phase II trial results. While CAPOX proved feasible for advanced AoV carcinoma regardless of histologic subtype, its reduced effectiveness in second-line settings necessitates further research to determine its optimal palliative use.

Machine learning for differentiating between pancreatobiliary-type and intestinal-type periampullary carcinomas based on CT imaging and clinical findings

PURPOSE

To develop a diagnostic model for distinguishing pancreatobiliary-type and intestinal-type periampullary adenocarcinomas using preoperative contrast-enhanced computed tomography (CT) findings combined with clinical characteristics.

METHODS

This retrospective study included 140 patients with periampullary adenocarcinoma who underwent preoperative enhanced CT, including pancreaticobiliary (N = 100) and intestinal (N = 40) types. They were randomly assigned to the training or internal validation set in an 8:2 ratio. Additionally, an independent external cohort of 28 patients was enrolled. Various CT features of the periampullary region were evaluated and data from clinical and laboratory tests were collected. Five machine learning classifiers were developed to identify the histologic type of periampullary adenocarcinoma, including logistic regression, random forest, multi-layer perceptron, light gradient boosting, and eXtreme gradient boosting (XGBoost).

RESULTS

All machine learning classifiers except multi-layer perceptron used achieved good performance in distinguishing pancreatobiliary-type and intestinal-type adenocarcinomas, with the area under the curve (AUC) ranging from 0.75 to 0.98. The AUC values of the XGBoost classifier in the training set, internal validation set and external validation set are 0.98, 0.89 and 0.84 respectively. The enhancement degree of tumor, the growth pattern of tumor, and carbohydrate antigen 19-9 were the most important factors in the model.

CONCLUSION

Machine learning models combining CT with clinical features can serve as a noninvasive tool to differentiate the histological subtypes of periampullary adenocarcinoma, in particular using the XGBoost classifier.