Pancreatic Adenosquamous Carcinoma Research Articles

A case of pancreatic adenosquamous cell carcinoma with a pseudocyst following curative surgery

BackgroundPancreatic adenosquamous cell carcinoma (PASC) is a relatively rare histological type of pancreatic malignancy, and preoperative diagnosis is difficult because of its rarity. PASC accounts for 1–4% of all pancreatic cancers, and even after curative surgery, its prognosis is poorer than that of ordinary pancreatic adenocarcinoma. Pathologically, it shows glandular and squamous differentiation of cells. Complete resection is the only method to achieve a good long-term prognosis, and an increasing doubling time of PASC is considered to indicate early recurrence after surgery. Here, we report a rare case of PASC with an infected pancreatic cyst that was difficult to treat, along with a review of the literature.Case presentationA woman in her 80s with a history of breast cancer presented with pericardial pain. Computed tomography revealed a 20-mm hypovascular tumor in the body of the pancreas and a 27-mm pseudocyst. Endoscopic retrograde cholangiopancreatography showed a severe main pancreatic duct stenosis in the body of the pancreas that made cannulation impossible, and contrast media extravasation was due to pancreatic duct disruption in the pancreatic tail. Endoscopic fine-needle aspiration revealed that the tumor was a PASC. Because the patient had an infected pancreatic cyst, central intravenous nutrition and antibiotics were administered, which stabilized her general condition. She was diagnosed with resectable PASC and underwent distal pancreatectomy with lymphadenectomy. The postoperative course was uneventful. Immunohistochemical analysis of the resected specimen confirmed T2N0M0 stage IB. Systemic adjuvant chemotherapy with S-1 is ongoing.ConclusionAppropriate preoperative management and preoperative accurate staging (T2N0M0 stage IB) of PASC with curative surgery can ensure predictable outcomes.

Pancreatic Adenosquamous Carcinoma Presenting as a Gastric Lesion

ABSTRACT Pancreatic adenosquamous carcinoma, an uncommon subtype of pancreatic adenocarcinoma, is characterized by an aggressive course and poor prognosis, with the only method of cure being surgical resection at the time of diagnosis. It is a complex condition, as it presents nonspecifically and remains indistinguishable from pancreatic adenocarcinoma without imaging techniques despite its aggressive nature. We report an atypical case of pancreatic adenosquamous carcinoma, presenting with marked anemia, found on endoscopy to have a gastric mass. This is of interest to readers as a reminder that pancreatic cancers may present with gastric invasion and should remain on the differential diagnosis for gastric lesions.

Genomics and transcriptomics of pancreatic adenosquamous carcinoma.

691 Background: Pancreatic cancer (PC) is anticipated to become the 2nd leading cause of cancer-related deaths by 2030. Pancreatic adenosquamous carcinoma (PASC) is a rare subtype of PC with histology including squamous adenomatous features (≥30% squamous histology), while pancreatic squamous cell cancer (PSCC) consists purely of squamous cells. We evaluated genomic, transcriptomic and prognostic differences between PASC, PSCC and pancreatic ductal adenocarcinoma (PDAC). Methods: 8951 PC tumors (83 PASC, 22 PSCC & 8846 PDAC) tested at Caris Life Sciences with WTS (Illumina, Novaseq) and NextGen DNA sequencing (NextSeq, 592 genes and NovaSeq, WES) and IHC were analyzed. Immune cell fraction was calculated by QuantiSeq. Overall survival (OS) analysis (time of tissue collection to last contact) was obtained from insurance claims and calculated with KM method. Statistical significance was determined using Chi-square/Fisher-Exact and adjusted for multiple comparisons (q<0.05). Results: No age or sex differences were seen between PDAC (median 68yo) and PASC (median 68.5yo), however PSCC was more prevalent in younger pts (median 62.5yo, q<0.05). Mutation rates of CDKN1B (3% vs 0.2%), SF3B1 (8 vs 2%), PTEN (5 vs 0.8%), BCL9 (4 vs 0.4%), AXIN1 (4 vs 0.2%) and CASP8 (3 vs 0.2%) and amplifications of AKT2 (5 vs 2%), ZNF384 (1 VS 0.1%), HMGA2 (7 vs 0.7%) and ROS1 fusions (1 vs 0.04%) all trended higher in PASC than PDAC (p<0.05). Several YAP signaling and squamous differentiation genes were significantly differentially expressed among histologies (table). PD-L1 IHC was higher in PASC vs PDAC (37 vs 14%, q<0.05); with a trend towards higher MSI-H (6 vs 1%) & TMB-H (6 vs 2%) in PASC vs PDAC (p<0.05). Higher infiltration of CD4+ T cells into the TME was seen in PASC vs PDAC (non-zero %, 73% vs 23%, q<0.05). Several immune genes ( CD274, IDO1, LAG3, & CTLA4) had higher expression in PASC vs PDAC (fold change 1.3-3.1, q<0.05). The MAP kinase pathway activation score (MPAS) was lower in PASC vs PDAC (median score -0.48 vs 0.25), while the IFN gamma signature was higher in PASC vs PDAC (median -0.24 vs -0.33) [both q<0.05]. There was increased OS for PASC compared to PSCC (12.6 vs 4.7 mo, HR=0.43, CI=0.25-0.75, p=0.002); no significant difference in OS was observed between PASC and PDAC. Conclusions: This is the largest molecular profiling analysis of PASC, which is characterized by unique genomic alterations, and is associated with higher PD-L1 expression, immune related gene expression, CD4+ T cell infiltration and IFN gamma signature, and lower MAPK activation. PASC is associated with better OS compared to PSCC. These findings may provide subtype-specific therapeutic opportunities for PASC and PSCC pts.[Table: see text]

Abstract A044: Tumor-infiltrating lymphocyte density correlates with survival in pancreatic adenosquamous carcinoma

Abstract Background: Pancreatic adenosquamous carcinoma (PASC) is a rare and aggressive form of pancreatic cancer, representing only 1-5% of cases. Histologically, it is defined by the presence of at least 30% squamous differentiation mixed with ductal adenocarcinoma. No standard therapies or prognostic biomarkers have been validated to date in this understudied disease. Methods: All patients diagnosed with pancreatic cancer in the Johns Hopkins Cancer Registry from 2013 to 2018 were queried for adenosquamous histology. Archived slides of available tumor specimens were examined to quantify the percentage of squamous differentiation and tumor-infiltrating lymphocyte (TIL) density. Descriptive statistics were used to summarize clinical, pathologic, and molecular characteristics. Kaplan-Meier estimates and log-rank tests were used for survival analyses. Results: Among a total of 8,908 patients queried, 155 patients with adenosquamous histology were identified. Median overall survival (OS) was 14.2 months and 7.5 months for resectable and unresectable/metastatic disease, respectively. Molecular tumor testing revealed frequent somatic mutations in KRAS, TP53, and SMAD4 in addition to multiple DNA damage repair genes. The percentage of squamous differentiation and TIL density was correlated with survival outcomes in a subset of 28 patients with evaluable tumor specimens. No association between the percentage of squamous differentiation and OS was identified. Of note, compared to those with low TIL density (0-10%), patients with an intermediate/high TIL density (>10%) exhibited significantly improved survival (median OS 36.3 vs 14.2 months, p = 0.011). Conclusions: For the first time, intermediate/high TIL density is associated with prolonged OS in a single-institution cohort of PASC patients. Prospective validation in larger cohorts is needed to establish prognostic biomarkers that can guide therapeutic decision-making in this lethal and under-examined disease subtype. Citation Format: Saurav D. Haldar, Christopher D. Jakubowski, Su Jin Lim, Hao Wang, Richard A. Burkhart, Kelly Lafaro, William R. Burns III, Jin He, Daniel A. Laheru, Elizabeth D. Thompson, Nilofer S. Azad. Tumor-infiltrating lymphocyte density correlates with survival in pancreatic adenosquamous carcinoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr A044.

Comparative effectiveness of chemotherapy in different histological types of pancreatic cancer: a PSM-based study using the SEER database

This study aimed to compare the effectiveness of chemotherapy in different histological types of pancreatic cancer using data collected from the Surveillance, Epidemiology, and End Results (SEER) database. Patients who were diagnosed with pancreatic cancer between 2004 and 2015 were selected from the SEER database. Propensity score matching (PSM) was employed to minimize the selection bias. The Kaplan-Meier survival curves and the log-rank test were utilized to compare the overall survival (OS) and cancer-specific survival (CSS) among different groups. Of the 7,653 pancreatic cancer patients, both OS and CSS were higher in the chemotherapy group than those in the non-chemotherapy group (p < 0.001). After PSM, 2381 pairs were generated. The Kaplan-Meier survival curved indicated that both OS and CSS for pancreatic ductal adenocarcinoma (PDAC), pancreatic adenosquamous carcinoma (PASC), and pancreatic mucin-producing adenocarcinoma (PMPAC) (p < 0.001) in the chemotherapy group were superior to those in the non-chemotherapy group, while there was no significant difference in pancreatic mucinous adenocarcinoma (PMAC) (p = 0.2586). Compared with PASC and PMPAC, PDAC exhibited longer OS and CSS. The results of statistical analysis showed that PASC tumors were mainly poorly differentiated, and the majority of patients with PMPAC had distant metastasis. Chemotherapy could prolong pancreatic cancer patients’ survival, especially for patients with advanced disease. PMPAC patients had a higher rate of metastasis, accompanying with the worse survival.

Fully automated magnetic resonance imaging-based radiomics analysis for differentiating pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinoma.

To develop and validate an automated magnetic resonance imaging (MRI)-based model to preoperatively differentiate pancreatic adenosquamous carcinoma (PASC) from pancreatic ductal adenocarcinoma (PDAC). This retrospective study included patients with surgically resected, histopathologically confirmed PASC or PDAC who underwent MRI between January 2011 and December 2020. According to time of treatment, they were divided into training and validation sets. Automated deep-learning-based artificial intelligence was used for pancreatic tumor segmentation. Linear discriminant analysis was performed with conventional MRI and radiomic features to develop clinical, radiomics, and mixed models in the training set. The models' performances were determined from their discrimination and clinical utility. Kaplan-Meier and log-rank tests were used for survival analysis. Overall, 389 and 123 patients with PDAC (age, 61.37 ± 9.47years; 251 men) and PASC (age, 61.99 ± 9.82years; 78 men) were included, respectively; they were split into the training (n = 358) and validation (n = 154) sets. The mixed model showed good performance in the training and validation sets (area under the curve: 0.94 and 0.96, respectively). The sensitivity, specificity, and accuracy were 76.74%, 93.38%, and 89.39% for the training set, respectively, and 67.57%, 97.44%, and 90.26% for the validation set, respectively. The mixed model outperformed the clinical (p = 0.001) and radiomics (p = 0.04) models in the validation set. Log-rank test revealed significantly longer survival in the predicted PDAC group than in the predicted PASC group (p = 0.003), according to the mixed model. Our mixed model, which combined MRI and radiomic features, can be used to differentiate PASC from PDAC.

Pancreatic adenosquamous carcinoma: A population level analysis of epidemiological trends and prognosis.

The incidence and mortality of pancreatic adenosquamous carcinoma (PASC) have received little attention. The goal of our study was to explore the overall epidemiological trend of PASC at the population level. The Surveillance, Epidemiology, and End Results database was used to collect the incidence, incidence-based (IB) mortality, and patient details for PASC from 2000 to 2017. The Joinpoint regression tool was used to examine the trends in incidence and IB mortality. The Kaplan-Meier approach was used for survival analysis. Univariate and multivariate Cox regression analyses were used to determine the independent prognostic factors. We included 815 patients with PASC in the study. The incidence of PASC continuously increased from 2000 to 2017, with an annual percentage change (APC) of 3.9% (95% CI: 2.2%-5.7%, p < 0.05). IB mortality also increased continuously, with an APC of 5.0% (95% CI: 2.5%-7.6%, p < 0.05). Multivariate Cox regression analysis revealed that age, treatment, regional lymph node involvement, and tumor size were independent prognostic factors. Nomograms were created for PASC to predict 1- and 2-year survival probabilities, respectively. The incidence and IB mortality of PASC had a sustained and rapid increase, indicating that the preventive and treatment measures for PASC were not ideal. We must identify the significance of this condition as soon as possible, and commit greater attention and resources to PASC research.

Non-enhanced magnetic resonance imaging-based radiomics model for the differentiation of pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinoma.

To evaluate the diagnostic performance of radiomics model based on fully automatic segmentation of pancreatic tumors from non-enhanced magnetic resonance imaging (MRI) for differentiating pancreatic adenosquamous carcinoma (PASC) from pancreatic ductal adenocarcinoma (PDAC). In this retrospective study, patients with surgically resected histopathologically confirmed PASC and PDAC who underwent MRI scans between January 2011 and December 2020 were included in the study. Multivariable logistic regression analysis was conducted to develop a clinical and radiomics model based on non-enhanced T1-weighted and T2-weighted images. The model performances were determined based on their discrimination and clinical utility. Kaplan-Meier and log-rank tests were used for survival analysis. A total of 510 consecutive patients including 387 patients (age: 61 ± 9 years; range: 28-86 years; 250 males) with PDAC and 123 patients (age: 62 ± 10 years; range: 36-84 years; 78 males) with PASC were included in the study. All patients were split into training (n=382) and validation (n=128) sets according to time. The radiomics model showed good discrimination in the validation (AUC, 0.87) set and outperformed the MRI model (validation set AUC, 0.80) and the ring-enhancement (validation set AUC, 0.74). The radiomics model based on non-enhanced MRI outperformed the MRI model and ring-enhancement to differentiate PASC from PDAC; it can, thus, provide important information for decision-making towards precise management and treatment of PASC.

Pancreatic Adenosquamous Carcinoma: A Rare Pathological Subtype of Pancreatic Cancer.

Pancreatic adenosquamous carcinoma (PASC) is a rare pathological subtype of pancreatic cancer (PC), with a worse prognosis than pancreatic ductal adenocarcinoma (PDAC). Due to its rarity, our knowledge of PASC and its biological characteristics are limited. In this review, we provide an overview of the histogenesis, genetic features, diagnosis, treatment, and prognosis of PASC, as well as pancreatic squamous cell carcinoma (PSCC). The information provided here may help to clarify our understanding of PASC and provide useful avenues for further research on this disease.

Chemotherapy is associated with improved survival in a national cohort of stage IV pancreatic adenosquamous carcinoma

Pancreatic adenosquamous carcinoma (PASC) is a rare cancer that often presents with advanced disease and carries a grim prognosis. PASC is defined by the presence of at least 30% malignant squamous cells in the presence of malignant ductal adenocarcinoma. The utility of chemotherapy in the setting of metastatic disease is unknown. In this cross-sectional analysis, patients with stage IV PASC diagnosed between 2006 and 2016 were abstracted from the National Cancer Data Base. Patients were then categorized according to whether they received chemotherapy. Multivariable logistic regression analysis was done to determine the odds of receiving palliative chemotherapy. Overall survival analysis was performed using Kaplan-Meier analysis. A Cox proportional hazard multivariable model was generated to account for potential confounders. There were 698 patients with metastatic PASC available for analysis, including 400 patients (57.3%) who received chemotherapy and 298 patients (42.3%) who did not receive chemotherapy. Median overall survival was significantly longer for patients who received chemotherapy (5.2 vs. 1.5 months, P<0.001; HR 0.328, 95% CI: 0.272-0.397). Compared to patients who did not receive chemotherapy, patients who received chemotherapy were younger (mean 62.6 vs. 70.1 years old; P<0.001) and more likely to have no comorbidities (72.0% vs. 58.7%; P<0.001). In multivariate analysis, chemotherapy was the only factor independently associated with improved survival. This is the largest study on PASC conducted to date and the first to evaluate whether chemotherapy is associated with improved survival for patients with metastatic disease. We found that palliative chemotherapy was associated with significant prolongation of life. However, overall prognosis remained dismal despite chemotherapy and novel treatment approaches are needed to improve long-term survival.

Pancreatic Adenosquamous Carcinoma: Experience Within an Integrated Health Care System.

Introduction Adenosquamous carcinoma (ASC) of the pancreas is a rare form of pancreatic cancer with a worse prognosis than pancreatic ductal adenocarcinoma. The authors report on a retrospective study of 13 patients diagnosed with ASC in an integrated health care system. Methods A retrospective review was performed of all patients with pancreatic cancer identified between February 2010 and December 2018. Twenty-three patients were diagnosed with pancreatic ASC. Patient demographics, tumor characteristics, treatment modalities, and median survival were evaluated. Results Median overall survival was 8 months (standard devision [SD] = 18.6). Eight out of 13 patients who received surgery upfront had a positive surgical margin (62%). Eleven patients received adjuvant therapy. Median survival for patients who received multimodal treatment was 57 months (SD = 5.7) compared with 2.5 months for patients who received only surgery. Median survival for patients with negative pathologic margins was 17 months (SD = 23.6). One patient was receiving neoadjuvant chemotherapy (6 months into treatment without any evidence of metastatic disease). Discussion The high proportion of positive surgical margins and large tumor size upon presentation suggest that primary tumor downstaging should be considered. The positive results from recent prospective trials on neoadjuvant chemoradiation for pancreatic ductal adenocarcinoma could be a promising foundation of information for the treatment of ASC. Conclusion ASC of the pancreas is an extremely aggressive malignancy with poor prognosis. Further work is needed to determine the optimal multimodal treatment regimen.

Mucoepidermoid carcinoma (MEC) and adenosquamous carcinoma (ASC), the same or different entities?

AbstractMucoepidermoid carcinoma (MEC) and adenosquamous carcinoma (ASC) have overlapping histopathological appearances and sites of occurrence, which may cause diagnostic difficulty impacting subsequent treatment. We conducted a systematic review of the scientific literature to determine whether molecular alterations were sufficiently different in MEC and ASC to aid in classifying the two entities. We searched Medline, Embase and Web of Science for studies reporting molecular determinations of ASC and/or MEC and screened retrieved records for eligibility. Two independent researchers reviewed included studies, assessed methodological quality and extracted data. Of 8623 identified records, 128 articles were included for analysis: 5 which compared the two tumors in the same investigation using the same methods and 123 which examined the tumors separately. All articles, except one were case series of moderate to poor methodological quality. The 5 publications examining both tumors showed that 52/88 (59%) MEC and 0% of 110 ASC had rearrangement of the MAML2 gene as detected by FISH and/or RT-PCR, but did not investigate other genes. In the entire series MEC had MAML2 gene rearrangement in 1337/2009 (66.6%) of tumors studied. The articles examining tumors separately found that MEC had mutations in EGFR (11/329 cases, 3.3%), KRAS (11/266, 4.1%) and ERBB2 (9/126, 7.1%) compared with ASC that had mutations in EGFR (660/1705, 38.7%), KRAS (143/625, 22.9%) and ERBB2 (6/196, 3.1%). The highest level of recurrent mutations was in pancreatic ASC where (108/126, 85.7%) reported mutations in KRAS. The EGFR mutations in ASC were similar in number and kind to those in lung adenocarcinoma. By standards of systematic review methodology and despite the large number of retrieved studies, we did not find adequate evidence for a distinctive molecular profile of either MEC or ASC that could definitively aid in its classification, especially in histologically difficult cases that are negative for MAML2 rearrangement. The case series included in this review indicate the relevance of MAML2 rearrangement to support the diagnosis of MEC, findings that should be confirmed by additional research with adequate study design.

Artificial intelligence using deep learning analysis of endoscopic ultrasonography images for the differential diagnosis of pancreatic masses.

BACKGROUND : There are several types of pancreatic mass, so it is important to distinguish between them before treatment. Artificial intelligence (AI) is a mathematical technique that automates learning and recognition of data patterns. This study aimed to investigate the efficacy of our AI model using endoscopic ultrasonography (EUS) images of multiple types of pancreatic mass (pancreatic ductal adenocarcinoma [PDAC], pancreatic adenosquamous carcinoma [PASC], acinar cell carcinoma [ACC], metastatic pancreatic tumor [MPT], neuroendocrine carcinoma [NEC], neuroendocrine tumor [NET], solid pseudopapillary neoplasm [SPN], chronic pancreatitis, and autoimmune pancreatitis [AIP]). METHODS : Patients who underwent EUS were included in this retrospective study. The included patients were divided into training, validation, and test cohorts. Using these cohorts, an AI model that can distinguish pancreatic carcinomas from noncarcinomatous pancreatic lesions was developed using a deep-learning architecture and the diagnostic performance of the AI model was evaluated. RESULTS : 22 000 images were generated from 933 patients. The area under the curve, sensitivity, specificity, and accuracy (95 %CI) of the AI model for the diagnosis of pancreatic carcinomas in the test cohort were 0.90 (0.84-0.97), 0.94 (0.88-0.98), 0.82 (0.68-0.92), and 0.91 (0.85-0.95), respectively. The per-category sensitivities (95 %CI) of each disease were PDAC 0.96 (0.90-0.99), PASC 1.00 (0.05-1.00), ACC 1.00 (0.22-1.00), MPT 0.33 (0.01-0.91), NEC 1.00 (0.22-1.00), NET 0.93 (0.66-1.00), SPN 1.00 (0.22-1.00), chronic pancreatitis 0.78 (0.52-0.94), and AIP 0.73 (0.39-0.94). CONCLUSIONS : Our developed AI model can distinguish pancreatic carcinomas from noncarcinomatous pancreatic lesions, but external validation is needed.

Efficacy of chemotherapy for patients with metastatic or recurrent pancreatic adenosquamous carcinoma: A multicenter retrospective analysis

Background/objectivesPancreatic adenosquamous carcinoma (PASC) is a rare variant of pancreatic ductal adenocarcinoma (PDAC). The usual treatment for metastatic or recurrent PASC is systemic chemotherapy in accordance with the PDAC treatment strategy. This study aimed to investigate the efficacy of chemotherapy, especially the benefit of recent combination therapies, in patients with metastatic or recurrent PASC. MethodsWe conducted a multicenter retrospective analysis of 116 patients with metastatic or recurrent PASC treated with first-line chemotherapy between April 2001 and December 2017 at 24 Japanese institutions. ResultsCombination chemotherapies included gemcitabine + nab-paclitaxel (GnP, n = 28), fluorouracil/leucovorin + irinotecan + oxaliplatin (FFX, n = 10), gemcitabine + S-1 (GS, n = 10), and others (n = 9). Monotherapies included gemcitabine (n = 51) and S-1 (n = 8). The median overall survival (OS) was 6.5, 7.3, and 4.3 months for the whole cohort, the combination therapy group, and the monotherapy group, respectively. Multivariate analysis indicated that combination therapy showed a better trend in OS than monotherapy (hazard ratio = 0.68; 95% confidence interval, 0.38–1.20). GnP or FFX were selected in 58.7% of patients after FFX was approved in Japan, and revealed a median OS, median progression-free survival, and objective response rate of 7.3 months, 2.8 months, and 26.9% in GnP and 7.2 months, 2.3 months, and 20.0% in FFX respectively. ConclusionsThis study suggests that combination therapy may be more effective than monotherapy. GnP and FFX showed similar and clinically meaningful efficacy for patients with metastatic or recurrent PASC.

Single-cell sequencing reveals heterogeneity between pancreatic adenosquamous carcinoma and pancreatic ductal adenocarcinoma with prognostic value.

Pancreatic adenosquamous carcinoma (ASPC) is a rare subtype of pancreatic cancer with lethal malignancy, and few studies have focused on the heterogeneity of ASPC. Here, we performed a single-cell sequencing procedure on pancreatic tumor tissue from an ASPC patient and a patient with high-grade intraductal papillary mucinous neoplasm (IPMN). Through the combined analysis of single-cell sequencing data from five pancreatic ductal adenocarcinoma (PDAC) patients, one IPMN patient, and one ASPC patient in a public database, we identified 11 main types of cells, including macrophages, B cells, cancer stem cells, ductal cells, fibroblasts, endo/stellate cells, neutrophils, acinar cells, T cells, natural killer (NK) cells, dendritic cells, and mast cells. Then, the different characteristics and differentiation paths of the immune microenvironment among IPMN, ASPC, and PDAC in macrophages, T cells, and cancer-associated fibroblasts (CAFs) were identified through multiple bioinformatics analyses. Two novel special cancer-associated fibroblasts were identified as nCAFs and imCAFs. Then, cancer cells in duct cells were identified using the infercnv software. Two ASPC-specific subgroups of cancer cells with squamous cell features were identified. Finally, the identified specific CAFs and cancer cells were mapped to TCGA-PAAD cohort through the cibersoftx software. All of these identified subgroups were calculated to have a significant prognostic value in pancreatic cancer patients. These findings will promote the clinical application of single-cell sequencing data of pancreatic cancer and deepen our understanding of ASPC.

Clinical Outcome and Prognostic Factors of Pancreatic Adenosquamous Carcinoma Compared to Ductal Adenocarcinoma-Results from the German Cancer Registry Group.

Simple SummaryAbout 0.5% of pancreatic malignancies are adenosquamous carcinomas. The pathophysiology of these carcinomas is poorly understood and clinical data is sparse. We compared characteristics and prognostic factors of adenosquamous carcinoma and ductal adenocarcinoma, which represent the most common type of pancreatic cancer based on data from the German cancer registry group. Adenosquamous carcinoma showed poorer differentiation and higher frequency of blood vessel invasion indicative of a more aggressive tumor biology. Adenosquamous tumor differentiation was a strong negative prognostic factor. Survival of patients with adenosquamous carcinoma was shorter compared to patients with a ductal adenocarcinoma after surgical tumor resection. This study suggests that distinct multimodal treatment protocols should be considered for adenosquamous carcinomas of the pancreas.Background: Adenosquamous carcinoma of the pancreas (ASCP) is a rare malignancy and its pathophysiology is poorly understood. Sparse clinical data suggest that clinical outcome and overall survival is worse in comparison to common pancreatic ductal adenocarcinoma (PDAC). Methods: We evaluated clinical outcome and prognostic factors for overall survival of patients with ASCP in comparison to patients with PDAC recorded between 2000 and 2019 in 17 population-based clinical cancer registries at certified cancer centers within the Association of German Tumor Centers (ADT). Results: We identified 278 (0.5%) patients with ASCP in the entire cohort of 52,518 patients with pancreatic cancer. Significantly, more patients underwent surgical resection in the cohort of ASCP patients in comparison to patients with PDAC (p < 0.001). In the cohort of 142 surgically resected patients with ASCP, the majority of patients was treated by pancreatoduodenectomy (44.4%). However, compared to the cohort of PDAC patients, significantly more patients underwent distal pancreatectomy (p < 0.001), suggesting that a significantly higher proportion of ASCP tumors was located in the pancreatic body/tail. ASCPs were significantly more often poorly differentiated (G3) (p < 0.001) and blood vessel invasion (V1) was detected more frequently (p = 0.01) in comparison with PDAC. Median overall survival was 6.13 months (95% CI 5.20–7.06) for ASCP and 8.10 months (95% CI 7.93–8.22) for PDAC patients, respectively (p = 0.094). However, when comparing only those patients who underwent surgical resection, overall survival of ASCP patients was significantly shorter (11.80; 95% CI 8.20–15.40 months) compared to PDAC patients (16.17; 95% CI 15.78–16.55 months) (p = 0.007). ASCP was a highly significant prognostic factor for overall survival in univariable regression analysis (p = 0.007) as well as in multivariable Cox regression analysis (HR 1.303; 95% CI 1.013–1.677; p = 0.039). Conclusions: In conclusion, ASCP showed poorer differentiation and higher frequency of blood vessel invasion indicative of a more aggressive tumor biology. ASCP was a significant prognostic factor for overall survival in a multivariable analysis. Overall survival of resected ASCP patients was significantly shorter compared to resected PDAC patients. However, surgical resection still improved survival significantly.

Adenosquamous Carcinoma of the Pancreas: a Rare Entity

Pancreatic Adenosquamous Carcinoma is a rare subtype of pancreatic cancer. Here we present a 51 year old man who presented with features of obstructive jaundice. Radiological imaging studies revealed the presence of solid pancreatic mass. He underwent pancreaticoduodenectomy – superior mesenteric artery (SMA) first approach. Postoperative period was complicated with prolonged ascitic drainage. Histological analysis suggested adenosquamous carcinoma with 30% squamous components, pT2N0M0. Patient is being planned for adjuvant chemotherapy.

Development and Validation of Nomograms to Predict Overall Survival and Cancer-Specific Survival in Patients With Pancreatic Adenosquamous Carcinoma.

BackgroundPancreatic adenosquamous carcinoma (PASC) is a heterogeneous group of primary pancreatic cancers characterized by the coexistence of both glandular and squamous differentiation. The aim of this study was to develop nomograms to predict survival outcomes in patients with PASC.MethodsIn this retrospective study, data on PASC, including clinicopathological characteristics, treatments, and survival outcomes, were collected from the SEER database between 2000 and 2018. The primary endpoints were overall survival (OS) and cancer-specific survival (CSS). The eligible patients were randomly divided into development cohort and validation cohort in a 7:3 ratio. The nomograms for prediction of OS and CSS were constructed by the development cohort using a LASSO-Cox regression model, respectively. Besides the model performance was internally and externally validated by examining the discrimination, calibration, and clinical utility.ResultsA total of 632 consecutive patients who had been diagnosed with PASC were identified and randomly divided into development (n = 444) and validation (n = 188) cohorts. In the development cohort, the estimated median OS was 7.0 months (95% CI: 6.19–7.82) and the median CSS was 7.0 months (95% CI: 6.15–7.85). In the validation cohort, the estimated median OS was 6.0 months (95% CI: 4.46–7.54) and the median CSS was 7.0 months (95% CI: 6.25–7.75). LASSO-penalized COX regression analysis identified 8 independent predictors in the OS prediction model and 9 independent risk factors in the CSS prediction model: age at diagnosis, gender, year of diagnosis, tumor location, grade, stage, size, lymph node metastasis, combined metastasis, surgery, radiation, and chemotherapy. The Harrell C index and time-dependent AUCs manifested satisfactory discriminative capabilities of the models. Calibration plots showed that both models were well calibrated. Furthermore, decision curves indicated good utility of the nomograms for decision-making.ConclusionNomogram-based models to evaluate personalized OS and CSS in patients with PASC were developed and well validated. These easy-to-use tools will be useful methods to calculate individualized estimate of survival, assist in risk stratification, and aid clinical decision-making.

Pathogenic variants of homologous recombination repair-related genes in advanced pancreatic cancer and oxaliplatin-based chemotherapy: Prospective multicenter observational study.

555 Background: The latest National Comprehensive Cancer Network Guidelines for pancreatic adenocarcinoma recommended platinum-based chemotherapy for the patients with germline BRCA1/2 or PALB2 variants based on retrospective studies. However, the association between the efficacy of oxaliplatin-based chemotherapy and homologous recombination repair (HRR)-related gene variants has not yet been evaluated in a prospective study. Methods: This was a multicenter, prospective, observational study. Key inclusion criteria were: histologically confirmed pancreatic adenocarcinoma or adenosquamous carcinoma; candidates for systemic chemotherapy or currently under systemic chemotherapy for unresectable disease; age ≥ 20 years; Eastern Cooperative Oncology Group Performance Status 0–2; formalin-fixed paraffin-embedded cancer tissue available for genomic sequencing; and adequate hematological, liver, and renal function. Patients were assessed with the next generation sequencing (NGS)-based ACT-repair panel (ACT genomics; Taipei, Taiwan). ACT-repair panel is accredited by College of American Pathologists and is designed to detect short variants (SVs) including substitutions, insertions, deletions, and copy number variants of 35 genes including 8 HRR-related genes ( ATM, ATR, BRCA1, BRCA2, PALB2, RAD51B, RAD51C, RAD51D). The primary endpoint was the one-year overall survival rate (1yr-OS%) after the initiation of oxaliplatin-based chemotherapy in patients who harbored pathogenic HRR gene variants. On the basis of published retrospective data, expected 1yr-OS% was set at ≥ 60% in this study. Results: Forty patients were enrolled from August 2018 to March 2020. Median age was 67 years (range, 49–81 years). Sequencing data were obtained from 39 patients (NGS success rate = 97.5%). Nine patients (22.5%) harboring HRR gene; ATM SVs (n = 4), BRCA2 loss of heterozygosity (LOH) (n = 3), BRCA2 SVs (n = 1), and PALB2 LOH (n = 1). Three patients received oxaliplatin-based chemotherapy as first-line chemotherapy, while the remaining six patients received it as second- or later-line oxaliplatin-based chemotherapy. The 1yr-OS% was 44.4%, and the median overall survival was 221 days (95% confidence interval, 79–NA days) after the initiation of oxaliplatin-based chemotherapy. In three patients who received oxaliplatin-based chemotherapy as first-line treatment, overall survivals were 703 (alive), 694 (alive), and 405 (dead) days, respectively. Conclusions: Efficacy of oxaliplatin-based chemotherapy on advanced pancreatic cancer harboring HRR-related gene variants did not meet the primary endpoint of 1yr-OS% (≥ 60%). Clinical trial information: UMIN000033655.

Application of Unenhanced Computed Tomography Texture Analysis to Differentiate Pancreatic Adenosquamous Carcinoma from Pancreatic Ductal Adenocarcinoma.

The objective of this study was to investigate the application of unenhanced computed tomography (CT) texture analysis in differentiating pancreatic adenosquamous carcinoma (PASC) from pancreatic ductal adenocarcinoma (PDAC). Preoperative CT images of 112 patients (31 with PASC, 81 with PDAC) were retrospectively reviewed. A total of 396 texture parameters were extracted from AnalysisKit software for further texture analysis. Texture features were selected for the differentiation of PASC and PDAC by the Mann-Whitney U test, univariate logistic regression analysis, and the minimum redundancy maximum relevance algorithm. Furthermore, receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of the texture feature-based model by the random forest (RF) method. Finally, the robustness and reproducibility of the predictive model were assessed by the 10-times leave-group-out cross-validation (LGOCV) method. In the present study, 10 texture features to differentiate PASC from PDAC were eventually retained for RF model construction after feature selection. The predictive model had a good classification performance in differentiating PASC from PDAC, with the following characteristics: sensitivity, 95.7%; specificity, 92.5%; accuracy, 94.3%; positive predictive value (PPV), 94.3%; negative predictive value (NPV), 94.3%; and area under the ROC curve (AUC), 0.98. Moreover, the predictive model was proved to be robust and reproducible using the 10-times LGOCV algorithm (sensitivity, 90.0%; specificity, 71.3%; accuracy, 76.8%; PPV, 59.0%; NPV, 95.2%; and AUC, 0.80). The unenhanced CT texture analysis has great potential for differentiating PASC from PDAC.