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Background Family and other unpaid caregivers play an active role in the recovery of individuals with pancreatic and periampullary cancer after pancreatectomy. However, little is known about caregivers’ experiences and how to better support them. Methods Caregivers accompanying patients to 1-month postpancreatectomy visits at 3 hospitals completed an electronic survey between November 2018 and February 2020. We examine measures of absenteeism and work productivity loss among the subset of caregivers who reported working for pay and comparatively assess caregiver experiences by employment status. All analyses were performed as 2-sided tests. Results Of 265 caregivers approached for study participation, 240 (90.6%) enrolled. Caregivers were primarily female (70.8% female, 29.2% male) and spouses (58.3%) or adult children (25.8%) of patients, with a median age of 60 years. Of the 240 caregivers included in the study, 107 (44.6%) worked for pay. Nearly half (44.4%) of working caregivers reported being absent from work because of caregiving amounting to a 14% loss in work hours. While at work, 58.9% of working caregivers reported increased work difficulty as a result of caregiving. Taken together, an estimated 59.7% loss in work productivity was experienced because of caregiving in the month following pancreatectomy. After adjustment for sociodemographic factors, working (vs nonworking) caregivers reported increased financial (odds ratio [OR] = 2.32; P = .04) and emotional (OR = 1.93; P = .04) difficulties and daily activity restrictions (OR = 1.85; P = .048). Conclusions Working caregivers of patients with pancreatic and periampullary cancer experience negative impacts on work and productivity, and caregiving-related financial and emotional difficulties may be amplified. This study highlights the need for workplace policies to support unpaid cancer caregiving.

PURPOSE Patients with pancreatic and periampullary cancers may experience significant reduction in their quality of life and often rely on family and unpaid caregivers for assistance after surgery. However, as caregivers are not systematically identified, little is known about the nature, difficulty, and personal demands of assistance they provide. We aim to assess the frequency and difficulty of specific assistance caregivers provide and identify potential interventions that could alleviate the caregiving demands. METHODS This was a prospective, multi-institutional study of caregivers accompanying patients with periampullary and pancreatic cancer at their 1-month postpancreatectomy office visit. An instrument that drew heavily on the National Study of Caregiving was administered to caregivers. RESULTS Of 240 caregivers, more than half (58.3%) of caregivers were the patients' spouse, a quarter (25.8%) were daughters or sons, 12.9% other relatives, and 2.9% nonrelatives. Caregivers least frequently provided assistance with transportation (14.6% every day) and most frequently provided assistance with housework (65.0% every day, P = .003) and diet (56.5% every day, P = .004). Caregivers reported the least difficulty helping patients with exercise (1.5% somewhat difficult). Caregivers reported significantly more difficulty with assisting with housework (14.5% somewhat difficult, P < .001) and diet (14.9% somewhat difficult, P < .001). Caregivers identified the immediate postpancreatectomy and early discharge periods as the most stressful phases. They also reported having received very little information about available services that could have supported their efforts. CONCLUSION Caregivers of patients with periampullary or pancreatic cancer provide considerable assistance in the postoperative period and many reported difficulty in assisting with housework and diet. Work is needed to better prepare and support caregivers to better enable them to adequately care for patients with pancreas and periampullary cancer.

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.

Background and aims Single-cell next-generation sequencing (scNGS) technology has been widely used in genomic profiling, which relies on whole-genome amplification (WGA). However, WGA introduces errors and is especially less accurate when applied to single nucleotide variant (SNV) analysis. Targeted scNGS for SNV without WGA has not been described. We aimed to develop a method to detect circulating tumor cells (CTCs) with DNA SNVs. Methods We tested this targeted scNGS method with three driver mutant genes (KRAS/TP53/SMAD4) on one pancreatic cancer cell line AsPC-1 and then applied it to patients with metastatic PDAC for the validation. Results All single-cell of AsPC-1 and spiked-in AsPC-1 cells in healthy donor blood, which were isolated by the filtration with size or by flow cytometry, were detected by targeted scNGS method. All blood samples from six patients with metastatic PDAC, for the validation of target scNGS method, showed CTCs with SNVs of KRAS/TP53/SMAD4 and the positive confirmation of immunofluorescent stainings with Pan-CK/Vimentin/CD45. Four patients with early stage disease, one patient with benign pancreatic cyst and a healthy control sample all showed concordant results between targeted scNGS and CTC enumeration. Conclusions The novel technique of targeted scNGS for SNV analysis, without pre-amplification, is a promising method for identifying and characterizing circulating tumor cells.

Nodal involvement has been identified as one of the strongest prognostic factors in patients with nonfunctional pancreatic neuroendocrine tumors (NF-PanNETs). Sufficient lymphadenectomy and evaluation is vital for accurate staging. The purpose of this study was to identify the optimal number of examined lymph nodes (ELN) required for accurate staging. The SEER database was used to identify patients with resected NF-PanNETs between 2004 and 2014. The distributions of positive lymph nodes (PLN) ratio and total lymph nodes were used to develop a mathematical model. The sensitivity of detecting nodal disease at each cutoff of ELN was estimated and used to identify the optimal cutoff for ELN. A total of 1098 patients were included in the study of which 391 patients (35.6%) had nodal disease. The median ELN was 12 (interquartile range [IQR]: 7–19.5), and the median PLN was 2 (IQR: 1–4) for patients with nodal disease. With an increase in ELN, the sensitivity of detecting nodal disease increased from 12.0% (ELN: 1) to 92.2% (ELN: 20), plateauing at 20 ELN (

Introduction of effective systemic therapies for pancreatic ductal adenocarcinoma (PDAC) has demonstrated survival benefit. However, chemotherapy remains underutilized in these patients. We sought to investigate the implications of disparities on the trends in utilization of chemotherapy. A retrospective study using the Surveillance, Epidemiology, and End Results (SEER) database identified patients who underwent surgical resection for PDAC from 1998 to 2014. Clinicopathologic, demographic, racial, and geographical factors were analyzed to assess associations with receipt of chemotherapy and disease-specific survival. A total of 15,585 patients were included in the study. A majority (N = 9953, 63.9%) received chemotherapy. Factors associated with poorer odds of receiving chemotherapy included older age (p

OBJECTIVE: Patients with pancreatic cancer (PDAC) who undergo surgical resection and receive effective chemotherapy have the best chance of long-term survival. Unfortunately, we lack predictive biomarkers to guide optimal systemic treatment. Ex-vivo generation of patient-derived organoids (PDO) for pharmacotyping may serve as predictive biomarkers in PDAC. The goal of the current study was to demonstrate the clinical feasibility of a PDO-guided precision medicine framework of care. METHODS: PDO cultures were established from surgical specimens and endoscopic biopsies, expanded in Matrigel, and used for high-throughput drug testing (pharmacotyping). Efficacy of standard-of-care chemotherapeutics was assessed by measuring cell viability after drug exposure. RESULTS: A framework for rapid pharmacotyping of PDOs was established across a multi-institutional consortium of academic medical centers. Specimens obtained remotely and shipped to a central biorepository maintain viability and allowed generation of PDOs with 77% success. Early cultures maintain the clonal heterogeneity seen in PDAC with similar phenotypes (cystic–solid). Late cultures exhibit a dominant clone with a pharmacotyping profile similar to early passages. The biomass required for accurate pharmacotyping can be minimized by leveraging a high-throughput technology. Twenty-nine cultures were pharmacotyped to derive a population distribution of chemotherapeutic sensitivity at our center. Pharmacotyping rapidly-expanded PDOs was completed in a median of 48 (range 18–102) days. CONCLUSIONS: Rapid development of PDOs from patients undergoing surgery for PDAC is eminently feasible within the perioperative recovery period, enabling the potential for pharmacotyping to guide post-operative adjuvant chemotherapeutic selection. Studies validating PDOs as a promising predictive biomarker are ongoing.

Cancer-associated fibroblasts (CAF) are major players in the progression and drug resistance of pancreatic ductal adenocarcinoma (PDAC). CAFs constitute a diverse cell population consisting of several recently described subtypes, although the extent of CAF heterogeneity has remained undefined. Here we use single-cell RNA sequencing to thoroughly characterize the neoplastic and tumor microenvironment content of human and mouse PDAC tumors. We corroborate the presence of myofibroblastic CAFs and inflammatory CAFs and define their unique gene signatures in vivo. Moreover, we describe a new population of CAFs that express MHC class II and CD74, but do not express classic costimulatory molecules. We term this cell population “antigen-presenting CAFs” and find that they activate CD4+ T cells in an antigen-specific fashion in a model system, confirming their putative immune-modulatory capacity. Our cross-species analysis paves the way for investigating distinct functions of CAF subtypes in PDAC immunity and progression. Significance: Appreciating the full spectrum of fibroblast heterogeneity in pancreatic ductal adenocarcinoma is crucial to developing therapies that specifically target tumor-promoting CAFs. This work identifies MHC class II–expressing CAFs with a capacity to present antigens to CD4+ T cells, and potentially to modulate the immune response in pancreatic tumors. See related commentary by Belle and DeNardo, p. 1001. This article is highlighted in the In This Issue feature, p. 983

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.

OBJECTIVES Previous retrospective studies demonstrated that circulating tumor cells (CTCs) subtypes correlate with overall survival in patients with pancreatic ductal adenocarcinoma (PDAC). Herein, we report results of a prospective observational study on CTCs dynamics to assess their clinical significance. METHODS The CLUSTER study is a prospective longitudinal study on PDAC CTCs dynamics (NCT02974764). Multiple peripheral blood samples were collected from 200 consecutively enrolled patients with presumed PDAC diagnosis. CTCs were isolated and characterized by immunofluorescence. RESULTS Two major CTCs subtypes were identified in PDAC patients: epithelial CTCs (eCTCs) and epithelial/mesenchymal CTCs (mCTCs). Patients who received neoadjuvant chemotherapy had significantly lower total CTCs (tCTCs, P = 0.007), eCTCs (P = 0.007), and mCTCs (P = 0.034), compared with untreated patients eligible for upfront resection. Surgical resection of the primary tumor resulted in significant reduction, but not disappearance, of CTCs burden across all cell subtypes (P < 0.001). In multivariable logistic regression analysis, preoperative numbers of all CTCs subpopulations were the only predictors of early recurrence within 12 months from surgery in both chemo-naive and post-neoadjuvant patients (odds ratio 5.9 to 11.0). Alterations in CTCs were also observed longitudinally, before disease recurrence. A risk assessment score based on the difference of tCTCs increase accurately identified disease recurrence within the next 2 months, with an accuracy of 75% and 84% for chemo-naive and post-neoadjuvant patients, respectively. CONCLUSION We report novel findings regarding CTCs from a large prospective cohort of PDAC patients. CTCs dynamics reflect progression of disease and response to treatment, providing important information on clinical outcomes, not available by current tumor markers and imaging.