Calcium channel blockers are associated with improved survival in pancreatic cancer patients undergoing neoadjuvant chemotherapy and resection.

BACKGROUND: Repurposing existing drugs for use in oncology is more efficient, cost-effective and safe than novel drug discovery. Calcium signalling is increasingly recognised to have a key role in chemoresistance. This study assessed the impact of calcium channel blockers (CCB) in pancreatic cancer. METHODS: Retrospective population study of patients undergoing resection (curative intent) of pancreatic ductal adenocarcinoma (SEER-Medicare, 2007-2017). Cox models were built to assess the impact on overall survival. As laboratory studies suggest a chemosensitising effect, the impact of CCB was assessed separately in patients receiving neoadjuvant chemotherapy. RESULTS: 6,223 patients were included, of whom 660 were prescribed CCB. In total, 591 received neoadjuvant chemotherapy; in this cohort CCB prescription was associated with improved overall survival when adjusting for multiple prognostic factors (aHR = 0.715, 0.514-0.996, P = 0.047). This effect was not observed in patients not receiving neoadjuvant chemotherapy (aHR = 1.082, 0.982-1.191, P = 0.112). CONCLUSION: CCB prescription was associated with improved overall survival in patients receiving neoadjuvant chemotherapy prior to pancreatic cancer resection. The association was specific to the group of patients receiving neoadjuvant chemotherapy, mirroring the chemosensitising effect in laboratory studies. This defines patients receiving neoadjuvant chemotherapy as a target population for prospective clinical trials of CCB in pancreatic cancer.

Preoperative assessment of peripheral vascular invasion of pancreatic ductal adenocarcinoma based on high-resolution MRI.

OBJECTIVES: Preoperative imaging of vascular invasion is important for surgical resection of pancreatic ductal adenocarcinoma (PDAC). However, whether MRI and CT share the same evaluation criteria remains unclear. This study aimed to compare the diagnostic accuracy of high-resolution MRI (HR-MRI), conventional MRI (non-HR-MRI) and CT for PDAC vascular invasion. METHODS: Pathologically proven PDAC with preoperative HR-MRI (79 cases, 58 with CT) and non-HR-MRI (77 cases, 59 with CT) were retrospectively collected. Vascular invasion was confirmed surgically or pathologically. The degree of tumour-vascular contact, vessel narrowing and contour irregularity were reviewed respectively. Diagnostic criteria 1 (C1) was the presence of all three characteristics, and criteria 2 (C2) was the presence of any one of them. The diagnostic efficacies of different examination methods and criteria were evaluated and compared. RESULTS: HR-MRI showed satisfactory performance in assessing vascular invasion (AUC: 0.87-0.92), especially better sensitivity (0.79-0.86 vs. 0.40-0.79) than that with non-HR-MRI and CT. HR-MRI was superior to non-HR-MRI. C2 was superior to C1 on CT evaluation (0.85 vs. 0.79, P = 0.03). C1 was superior to C2 in the venous assessment using HR-MRI (0.90 vs. 0.87, P = 0.04) and in the arterial assessment using non-HR-MRI (0.69 vs. 0.68, P = 0.04). The combination of C1-assessed HR-MRI and C2-assessed CT was significantly better than that of CT alone (0.96 vs. 0.86, P = 0.04). CONCLUSIONS: HR-MRI more accurately assessed PDAC vascular invasion than conventional MRI and may contribute to operative decision-making. C1 was more applicable to MRI scans, and C2 to CT scans. The combination of C1-assessed HR-MRI and C2-assessed CT outperformed CT alone and showed the best efficacy in preoperative examination of PDAC.

Genetic assessment of pathogenic germline alterations in lysosomal genes among Asian patients with pancreatic ductal adenocarcinoma.

BACKGROUND: Lysosomes are closely linked to autophagic activity, which plays a vital role in pancreatic ductal adenocarcinoma (PDAC) biology. The survival of PDAC patients is still poor, and the identification of novel genetic factors for prognosis and treatment is highly required to prevent PDAC-related deaths. This study investigated the germline variants related to lysosomal dysfunction in patients with PDAC and to analyze whether they contribute to the development of PDAC. METHODS: The germline putative pathogenic variants (PPV) in genes involved in lysosomal storage disease (LSD) was compared between patients with PDAC (n = 418) and healthy controls (n = 845) using targeted panel and whole-exome sequencing. Furthermore, pancreatic organoids from wild-type and KrasG12D mice were used to evaluate the effect of lysosomal dysfunction on PDAC development. RNA sequencing (RNA-seq) analysis was performed with established PDAC patient-derived organoids (PDOs) according to the PPV status. RESULTS: The PPV in LSD-related genes was higher in patients with PDAC than in healthy controls (8.13 vs. 4.26%, Log2 OR = 1.65, P = 3.08 × 10-3). The PPV carriers of LSD-related genes with PDAC were significantly younger than the non-carriers (mean age 61.5 vs. 65.3 years, P = 0.031). We further studied a variant of the lysosomal enzyme, galactosylceramidase (GALC), which was the most frequently detected LSD variant in our cohort. Autophagolysosomal activity was hampered when GALC was downregulated, which was accompanied by paradoxically elevated autophagic flux. Furthermore, the number of proliferating Ki-67+ cells increased significantly in pancreatic organoids derived from Galc knockout KrasG12D mice. Moreover, GALC PPV carriers tended to show drug resistance in both PDAC cell line and PDAC PDO, and RNA-seq analysis revealed that various metabolism and gene repair pathways were upregulated in PDAC PDOs harboring a GALC variant. CONCLUSIONS: Genetically defined lysosomal dysfunction is frequently observed in patients with young-onset PDAC. This might contribute to PDAC development by altering metabolism and impairing autophagolysosomal activity, which could be potentially implicated in therapeutic applications for PDAC.

Are the screening guidelines for branch duct intraductal papillary mucinous neoplasms cost-effective in an Australian setting?

BACKGROUNDS: Intraductal papillary mucinous neoplasms (IPMN) are cystic neoplasms of the pancreatic ductal system. These incidental cystic lesions are increasingly found on radiological imaging and screened for malignant transformation. The Fukuoka consensus guidelines recommend screening with computed tomography, magnetic resonance imaging or endoscopic ultrasound. Branch duct IPMN (BD-IPMN) have significantly lower malignancy and mortality rates compared to main duct IPMN. Our aim was to assess the cost-effectiveness of guideline's recommendations for BD-IPMN screening of cysts between 2 and 3 cm in an Australian context. METHODS: Markov model decision analysis was used to calculate the incremental cost-effectiveness ratio (ICER) of screening. The ICER was compared to a willingness to pay (WTP) threshold of $50 000. We performed scenario analysis to examine the effect of cyst size and non-linearity of malignancy rate on ICER. Probabilistic sensitivity analyses (PSA) were performed on our input parameters. RESULTS: Screening resulted in 586 quality adjusted life years gained and a net present value of $20 379 939, resulting in a base-case ICER of $34 758. After scenario analysis for non-linearity of malignancy rate the ICER increases to $64 555, which is above the WTP threshold. PSA indicates that ICER is most susceptible to the pre-test malignancy rate. CONCLUSION: This cost analysis demonstrates that screening of 2-3 cm BD-IPMN according to current guidelines is unlikely to be cost-effective in an Australian context. To determine the true ICER, a cost analysis on real-world data is required.

The Impact of Medicaid Expansion on Early-Stage Pancreatic Adenocarcinoma at High- Versus Low-Volume Facilities.

INTRODUCTION: While Medicaid Expansion (ME) has improved healthcare access, disparities in outcomes after volume-dependent surgical care persist. We sought to characterize the impact of ME on postoperative outcomes among patients undergoing resection for pancreatic ductal adenocarcinoma (PDAC) at high-volume (HVF) versus low-volume (LVF) facilities. METHODS: Patients who underwent resection for PDAC were identified from the National Cancer Database (NCDB; 2011-2018). HVF was defined as ≥20 resections/year. Patients were divided into pre- and post-ME cohorts, and the primary outcome was textbook oncologic outcomes (TOO). Difference-in-difference (DID) analysis was used to assess changes in TOO achievement among patients living in ME versus non-ME states. RESULTS: Among 33,764 patients who underwent resection of PDAC, 19.1% (n = 6461) were treated at HVF. Rates of TOO achievement were higher at HVF (HVF: 45.7% vs. LVF: 32.8%; p < 0.001). On multivariable analysis, undergoing surgery at HVF was associated with higher odds of achieving TOO (odds ratio [OR] 1.60, 95% confidence interval [CI] 1.49-1.72) and improved overall survival (OS) [hazard ratio (HR) 0.96, 95% CI 0.92-0.99]. Compared with patients living in non-ME states, individuals living in ME states were more likely to achieve TOO on adjusted DID analysis (5.4%, p = 0.041). Although rates of TOO achievement did not improve after ME at HVF (3.7%, p = 0.574), ME contributed to markedly higher rates of TOO among patients treated at LVF (6.7%, p = 0.022). CONCLUSIONS: Although outcomes for PDAC remain volume-dependent, ME has contributed to significant improvement in TOO achievement among patients treated at LVF. These data highlight the impact of ME on reducing disparities in surgical outcomes relative to site of care.

Pancreatic Cystic Lesions: Next Generation of Radiologic Assessment.

Pancreatic cystic lesions are frequently identified on cross-sectional imaging. As many of these are presumed branch-duct intraductal papillary mucinous neoplasms, these lesions generate much anxiety for the patients and clinicians, often necessitating long-term follow-up imaging and even unnecessary surgical resections. However, the incidence of pancreatic cancer is overall low for patients with incidental pancreatic cystic lesions. Radiomics and deep learning are advanced tools of imaging analysis that have attracted much attention in addressing this unmet need, however, current publications on this topic show limited success and large-scale research is needed.

Prospective assessment of pancreatic ductal adenocarcinoma diagnosis from endoscopic ultrasonography images with the assistance of deep learning.

BACKGROUND: Endosonographers are highly dependent on the diagnosis of pancreatic ductal adenocarcinoma (PDAC). The objectives of this study were to develop a deep-learning radiomics (DLR) model based on endoscopic ultrasonography (EUS) images for identifying PDAC and to explore its true clinical benefit. METHODS: A retrospective data set of EUS images that included PDAC and benign lesions was used as a training cohort (N = 368 patients) to develop the DLR model, and a prospective data set was used as a test cohort (N = 123 patients) to validate the effectiveness of the DLR model. In addition, seven endosonographers performed two rounds of reader studies on the test cohort with or without DLR assistance to further assess the clinical applicability and true benefits of the DLR model. RESULTS: In the prospective test cohort, DLR exhibited an area under the receiver operating characteristic curves of 0.936 (95% confidence interval [CI], 0.889-0.976) with a sensitivity of 0.831 (95% CI, 0.746-0.913) and 0.904 (95% CI, 0.820-0.980), respectively. With DLR assistance, the overall diagnostic performance of the seven endosonographers improved: one endosonographer achieved a significant expansion of specificity (p = .035,) and another achieved a significant increase in sensitivity (p = .038). In the junior endosonographer group, the diagnostic performance with the help of the DLR was higher than or comparable to that of the senior endosonographer group without DLR assistance. CONCLUSIONS: A prospective test cohort validated that the DLR model based on EUS images effectively identified PDAC. With the assistance of this model, the gap between endosonographers at different levels of experience narrowed, and the accuracy of endosonographers expanded.

Spatially Resolved Single-Cell Assessment of Pancreatic Cancer Expression Subtypes Reveals Co-expressor Phenotypes and Extensive Intratumoral Heterogeneity.

Pancreatic ductal adenocarcinoma (PDAC) has been classified into classical and basal-like transcriptional subtypes by bulk RNA measurements. However, recent work has uncovered greater complexity to transcriptional subtypes than was initially appreciated using bulk RNA expression profiling. To provide a deeper understanding of PDAC subtypes, we developed a multiplex immunofluorescence (mIF) pipeline that quantifies protein expression of six PDAC subtype markers (CLDN18.2, TFF1, GATA6, KRT17, KRT5, and S100A2) and permits spatially resolved, single-cell interrogation of pancreatic tumors from resection specimens and core needle biopsies. Both primary and metastatic tumors displayed striking intratumoral subtype heterogeneity that was associated with patient outcomes, existed at the scale of individual glands, and was significantly reduced in patient-derived organoid cultures. Tumor cells co-expressing classical and basal markers were present in > 90% of tumors, existed on a basal-classical polarization continuum, and were enriched in tumors containing a greater admixture of basal and classical cell populations. Cell-cell neighbor analyses within tumor glands further suggested that co-expressor cells may represent an intermediate state between expression subtype poles. The extensive intratumoral heterogeneity identified through this clinically applicable mIF pipeline may inform prognosis and treatment selection for patients with PDAC. SIGNIFICANCE: A high-throughput pipeline using multiplex immunofluorescence in pancreatic cancer reveals striking expression subtype intratumoral heterogeneity with implications for therapy selection and identifies co-expressor cells that may serve as intermediates during subtype switching.

Real-world costs and dynamics of surveillance in patients who underwent surgery for low-risk branch duct intraductal papillary mucinous neoplasms.

Surveillance costs and appropriateness of surgery of "low-risk" BD-IPMNs are relevant issues. In this study we evaluated the rate of correct indication for pancreatectomy defined as high grade dysplasia (HGD) at histology in 961 patients who underwent surveillance for a median of 5.1 years. Undertreatment and overtreatment were defined as invasive cancer and low grade dysplasia (LGD) at histology, respectively. Of the 66 patients (6.9%) who were operated, only 16 (23.8%) had a HGD while 40 (59.7%) had a LGD and 10 (14.9%) an invasive cancer, without differences regarding timing of surgery. The mean surveillance cost was € 194.9 ± 107.6 per patient-year, with a median cost of € 277.1 ± 148.2 in the correct surgery group compared with € 222.7 ± 111.6 and € 197 ± 102.7 in the overtreatment and undertreatment groups. The surveillance mean cost from diagnosis to surgery was € 854.8. Rate of appropriate surgery in BD-IPMNs under surveillance is low.

Cost-effectiveness of neoadjuvant FOLFIRINOX versus gemcitabine plus nab-paclitaxel in borderline resectable/locally advanced pancreatic cancer patients.

BACKGROUND: The 2020 National Comprehensive Cancer Network guidelines recommend neoadjuvant FOLFIRINOX or neoadjuvant gemcitabine plus nab-paclitaxel (G-nP) for borderline resectable/locally advanced pancreatic ductal adenocarcinoma (BR/LA PDAC). AIM: The purpose of our study was to compare treatment outcomes, toxicity profiles, costs, and quality-of-life measures between these two treatments to further inform clinical decision-making. METHODS AND RESULTS: We developed a decision-analytic mathematical model to compare the total cost and health outcomes of neoadjuvant FOLFIRINOX against G-nP over 12 years. The model inputs were estimated using clinical trial data and published literature. The primary endpoint was incremental cost-effectiveness ratios (ICERs) with a willingness-to-pay threshold of $100 000 per quality-adjusted-life-year (QALY). Secondary endpoints included overall (OS) and progression-free survival (PFS), total cost of care, QALYs, PDAC resection rate, and monthly treatment-related adverse events (TRAE) costs (USD). FOLFIRINOX was the cost-effective strategy, with an ICER of $60856.47 per QALY when compared to G-nP. G-nP had an ICER of $44639.71 per QALY when compared to natural history. For clinical outcomes, more patients underwent an "R0" resection with FOLFIRINOX compared to G-nP (84.9 vs. 81.0%), but FOLFIRINOX had higher TRAE costs than G-nP ($10905.19 vs. $4894.11). A one-way sensitivity analysis found that the ICER of FOLFIRINOX exceeded the threshold when TRAE costs were higher or PDAC recurrence rates were lower. CONCLUSION: Our modeling analysis suggests that FOLFIRNOX is the cost-effective treatment compared to G-nP for BR/LA PDAC despite having a higher cost of total care due to TRAE costs. Trial data with sufficient follow-up are needed to confirm our findings.

It's more than just cancer biology: Health disparities in patients with pancreatic neuroendocrine tumors.

BACKGROUND AND OBJECTIVES: Pancreatic neuroendocrine tumors (PNETs) represent a rare form of pancreatic cancer. Racial/ethnic disparities have been documented in pancreatic ductal adenocarcinoma, but health disparities have not been well described in patients with PNETs. METHODS: A retrospective review of patients with PNETs in the National Cancer Database was performed for 2004-2014. Approximately 16 605 patients with PNETs and available vital status were identified. Survival was compared by race/ethnicity and socioeconomic status using Kaplan-Meier methods and Cox regression. RESULTS: There were no significant differences in survival between Non-Hispanic, White; Hispanic, White; or Non-Hispanic, Black patients on univariate analysis. Kaplan-Meier analysis showed that patients from communities with lower median household income and education level had worse survival (p < 0.001). Patients age less than 65 without insurance, similarly, had worse survival (p < 0.001). Multivariable modeling found no association between race/ethnicity and risk of mortality (p = 0.37). Lower median household income and lower education level were associated with increased mortality (p < 0.001). CONCLUSIONS: Unlike most other malignancies, race/ethnicity is not associated with survival differences in patients with PNETs. Patients with lower socioeconomic status had worse survival. The presence of identifiable health disparities in patients with PNETs represents a target for intervention and opportunity to improve survival in patients with this malignancy.

Rapid diagnosis and tumor margin assessment during pancreatic cancer surgery with the MasSpec Pen technology.

Intraoperative delineation of tumor margins is critical for effective pancreatic cancer surgery. Yet, intraoperative frozen section analysis of tumor margins is a time-consuming and often challenging procedure that can yield confounding results due to histologic heterogeneity and tissue-processing artifacts. We have previously described the development of the MasSpec Pen technology as a handheld mass spectrometry-based device for nondestructive tissue analysis. Here, we evaluated the usefulness of the MasSpec Pen for intraoperative diagnosis of pancreatic ductal adenocarcinoma based on alterations in the metabolite and lipid profiles in in vivo and ex vivo tissues. We used the MasSpec Pen to analyze 157 banked human tissues, including pancreatic ductal adenocarcinoma, pancreatic, and bile duct tissues. Classification models generated from the molecular data yielded an overall agreement with pathology of 91.5%, sensitivity of 95.5%, and specificity of 89.7% for discriminating normal pancreas from cancer. We built a second classifier to distinguish bile duct from pancreatic cancer, achieving an overall accuracy of 95%, sensitivity of 92%, and specificity of 100%. We then translated the MasSpec Pen to the operative room and predicted on in vivo and ex vivo data acquired during 18 pancreatic surgeries, achieving 93.8% overall agreement with final postoperative pathology reports. Notably, when integrating banked tissue data with intraoperative data, an improved agreement of 100% was achieved. The result obtained demonstrate that the MasSpec Pen provides high predictive performance for tissue diagnosis and compatibility for intraoperative use, suggesting that the technology may be useful to guide surgical decision-making during pancreatic cancer surgeries.

Optimal management of patients with operable pancreatic head cancer: A Markov decision analysis.

INTRODUCTION: Neoadjuvant therapy (NAT) is an emerging strategy for operable pancreatic ductal adenocarcinoma (PDAC). While NAT increases multimodal therapy completion, it risks functional decline and treatment dropout. We used decision analysis to determine optimal management of localized PDAC and consider risks faced by elderly patients. METHODS: A Markov cohort decision analysis model evaluated treatment options for a 60-year-old patient with resectable PDAC: (1) upfront pancreaticoduodenectomy or (2) NAT. One-way and probabilistic sensitivity analyses were performed. A subanalysis considered the scenario of a 75-year-old patient. RESULTS: For the base case, NAT offered an incremental survival gain of 4.6 months compared with SF (overall survival: 26.3 vs. 21.7 months). In one-way sensitivity analyses, findings were sensitive to recurrence-free survival for NAT patients undergoing adjuvant, probability of completing NAT, and probability of being resectable at exploration after NAT. On probabilistic analysis, NAT was favored in a majority of trials (97%) with a median survival benefit of 5.1 months. In altering the base case for the 75-year-old scenario, NAT had a survival benefit of 3.8 months. CONCLUSIONS: This analysis demonstrates a significant benefit to NAT in patients with localized PDAC. This benefit persists even in the elderly cohort.

Clinical benefit of surveillance after resection of pancreatic ductal adenocarcinoma: A systematic review and meta-analysis.

BACKGROUND: The value of routine surveillance after resection of pancreatic ductal adenocarcinoma (PDAC) is unclear, and expert guidelines offer conflicting recommendations. This study is a systematic review of evidence for surveillance programs. METHODS: A systematic review of studies evaluating different surveillance methods was undertaken. A meta-analysis was performed for those studies reporting rates of asymptomatic recurrence, treatment of recurrence and overall survival, according to different surveillance methods. RESULTS: Ten studies were included in the literature review, with five studies appropriate for meta-analysis (1596 patients). Patients within active surveillance programs were more likely to have recurrence detected at an asymptomatic stage (Pooled Rate: 49.3% vs. 19.1%, p = 0.043). Within studies reporting these outcomes, patients with asymptomatic recurrence were more likely to receive treatment for recurrence (Odds Ratio 3.49; 95% CI: 1.73-7.07; p < 0.001) and had longer overall survival (Mean Difference: 9.5 months; 95% CI: 4.1-14.8; p < 0.001) than those with symptoms at time of recurrence. DISCUSSION: Routine surveillance after surgery for PDAC appears to detect more patients at an asymptomatic stage. Data from these non-randomised trials also suggest that treatment rates and survival may be superior in patients were recurrence is detected when asymptomatic. As such, these data suggest that routine surveillance may improve patient outcomes, although an appropriately conducted trial would be required to address concerns that various sources of bias may be affecting these results.

Diabetes mellitus in intraductal papillary mucinous neoplasms: A systematic review and meta-analysis.

BACKGROUND: Our current knowledge of diabetes mellitus in intraductal papillary mucinous neoplasm is very limited and its prevalence and predictive value for malignant transformation are not clear. This study sought to systematically review the literature to define the prevalence of diabetes mellitus in intraductal papillary mucinous neoplasm and to evaluate the association of diabetes mellitus with the progression to high-grade dysplasia or invasive cancer. METHODS: A PubMed/Medline systematic search was performed to identify studies reporting data on preoperative diabetes mellitus in intraductal papillary mucinous neoplasm. Articles meeting the predefined inclusion criteria were analyzed and a meta-analysis was performed. The study was preregistered (PROSPERO ID: CRD42020153581). RESULTS: From the initially detected 827 studies, 27 studies including resected patients with histologically confirmed intraductal papillary mucinous neoplasm were included. The global prevalence of preoperative diabetes mellitus was 25% (1,112 of 4,412); whereas new-onset/worsening diabetes mellitus was reported in 6% of patients (68 of 1,202). The meta-analysis revealed that patients with pre-existing diabetes mellitus had an increased risk of harboring a main pancreatic duct involvement (risk ratio 1.43, 95% confidence interval: 1.21-1.69, P < .001), high-grade dysplasia (risk ratio 1.27, 95% confidence interval: 1.01-1.59, P = .04), and invasive cancer (risk ratio 1.61, 95% confidence interval: 1.33-1.95, P < .001). CONCLUSION: The prevalence of diabetes mellitus in intraductal papillary mucinous neoplasm is high, and diabetic patients demonstrate an increased risk of a more aggressive disease. Therefore, diabetes mellitus should be increasingly considered in the stratification of patients with intraductal papillary mucinous neoplasm. Further investigations to determine the mechanisms behind the association with progression should be carried out.

Borderline Resectable and Locally Advanced Pancreatic Cancer: FDG PET/MRI and CT Tumor Metrics for Assessment of Pathologic Response to Neoadjuvant Therapy and Prediction of Survival.

BACKGROUND. Imaging biomarkers of response to neoadjuvant therapy (NAT) for pancreatic ductal adenocarcinoma (PDA) are needed to optimize treatment decisions and long-term outcomes. OBJECTIVE. The purpose of this study was to investigate metrics from PET/MRI and CT to assess pathologic response of PDA to NAT and to predict overall survival (OS). METHODS. This retrospective study included 44 patients with 18F-FDG-avid borderline resectable or locally advanced PDA on pretreatment PET/MRI who also underwent post-NAT PET/MRI before surgery between August 2016 and February 2019. Carbohydrate antigen 19-9 (CA 19-9) level, metabolic metrics from PET/MRI, and morphologic metrics from CT (n = 34) were compared between pathologic responders (College of American Pathologists scores 0 and 1) and nonresponders (scores 2 and 3). AUCs were measured for metrics significantly associated with pathologic response. Relation to OS was evaluated with Cox proportional hazards models. RESULTS. Among 44 patients (22 men, 22 women; mean age, 62 ± 11.6 years), 19 (43%) were responders, and 25 (57%) were nonresponders. Median OS was 24 months (range, 6-42 months). Before treatment, responders and nonresponders did not differ in CA 19-9 level, metabolic metrics, or CT metrics (p > .05). After treatment, responders and nonresponders differed in complete metabolic response (CMR) (responders, 89% [17/19]; nonresponders, 40% [10/25]; p = .04], mean change in SUVmax (ΔSUVmax; responders, -70% ± 13%; nonresponders, -37% ± 42%; p < .001), mean change in SUVmax corrected to serum glucose level (ΔSUVgluc) (responders, -74% ± 12%; nonresponders, -30% ± 58%; p < .001), RECIST response on CT (responders, 93% [13/14]; nonresponders, 50% [10/20]; p = .02)], and mean change in tumor volume on CT (ΔTvol) (responders, -85% ± 21%; nonresponders, 57% ± 400%; p < .001). The AUC of CMR for pathologic response was 0.75; ΔSUVmax, 0.83; ΔSUVgluc, 0.87; RECIST, 0.71; and ΔTvol 0.86. The AUCs of bivariable PET/MRI and CT models were 0.83 (CMR and ΔSUVmax), 0.87 (CMR and ΔSUVgluc), and 0.87 (RECIST and ΔTvol). OS was associated with CMR (p = .03), ΔSUVmax (p = .003), ΔSUVgluc (p = .003), and RECIST (p = .046). CONCLUSION. Unlike CA 19-9 level, changes in metabolic metrics from PET/MRI and morphologic metrics from CT after NAT were associated with pathologic response and OS in patients with PDA, warranting prospective validation. CLINICAL IMPACT. Imaging metrics associated with pathologic response and OS in PDA could help guide clinical management and outcomes for patients with PDA who undergo emergency therapeutic interventions.

Temporal Assessment of Prognostic Factors in Patients With Pancreatic Ductal Adenocarcinoma Undergoing Neoadjuvant Treatment and Resection.

BACKGROUND: The clinicopathologic factors associated with the survival of patients with pancreatic ductal adenocarcinoma (PDAC) during the different phases of neoadjuvant treatment (NT)-at diagnosis, restaging, or postoperatively-remain unclear. METHODS: Data of patients with PDAC who underwent pancreatic resection after NT between 2008 and 2018 were retrospectively collected. Clinicopathologic characteristics and outcomes were compared stratified by resection margin status. Three multivariable regression models (at diagnosis, restaging, and postoperatively) were constructed to assess the temporal impact of different prognostic factors on all-cause survival (ACS) and disease-free survival (DFS). RESULTS: All patients were diagnosed with a nonmetastatic PDAC and were appropriate candidates for NT according to the current National Comprehensive Cancer Network guidelines. From a total of 83 patients, 57 (68.7%) had a negative resection margin >1 mm (R0), whereas 26 patients (31.3%) had a positive resection margin (R1). At diagnosis, planned procedure (P = 0.017) and CA19-9 >100 U/mL (P = 0.047) were independent prognostic factors of decreased ACS. At restaging, planned procedure (P = 0.017), FOLFIRINOX (P = 0.026), and tumor size >30 mm (P = 0.030) were independent prognostic factors for increased and decreased ACS, respectively. Postoperatively, R0 was an independent prognostic factor for improved ACS (P = 0.005) and DFS (P = 0.002), whereas adjuvant therapy (P = 0.006) was associated with increased ACS. Lymph node involvement (P = 0.019) was associated with decreased DFS. CONCLUSIONS: At diagnosis, restaging, and postoperatively, different, relevant clinicopathologic factors significantly impact the survival of patients with nonmetastatic PDAC undergoing NT. An R0 resection remains the most important prognostic factor and therefore should be the primary goal of surgical treatment in the neoadjuvant setting.

Reproducibility of tumor budding assessment in pancreatic cancer based on a multicenter interobserver study.

Tumor budding has been reported to be an independent prognostic factor in pancreatic ductal adenocarcinoma (PDAC). Its use in daily diagnostics would improve the prognostic stratification of patients. We performed a multicenter interobserver study to test various budding assessment methods for their reproducibility. Two serial sections of 50 resected, treatment-naïve PDACs were stained for Hematoxylin and Eosin (H&E) and pancytokeratin. Tumor budding was scored by independent observers at five participating centers in Switzerland, Germany, and Canada. Pathologists assessed tumor budding on a digital platform comparing H&E with pancytokeratin staining in 10 high-power fields (10HPF) and one HPF hotspot (1HPF). Additionally, tumor budding was assessed in one H&E hotspot at × 20 magnification, as suggested by the International Tumor Budding Consensus Conference (ITBCC). Correlation coefficients for bud counts between centers ranged from r = 0.58648 to r = 0.78641 for H&E and from r = 0.69288 to r = 0.81764 for pancytokeratin. The highest interobserver agreement across all centers was observed for pancytokeratin 10HPFs (ICC = 0.6). ICC values were 0.49, 0.48, 0.41, and 0.4 for H&E in 1HPF hotspot, H&E in 10HPFs, pancytokeratin in 1HPF, and H&E in one hotspot at ×20, respectively (ITBCC method). This interobserver study reveals a range between moderately poor to moderate agreement levels between pathologists for the different tumor budding assessment methods in PDAC. Acceptable levels of agreement were reached with the pancytokeratin 10HPF method, which can thus be recommended for the assessment of tumor budding in PDAC resection specimens. To improve the levels of interobserver agreement, the implementation of machine learning applications should be considered.